diff --git a/.clang-tidy b/.clang-tidy
index f845cdff71..a815b783f2 100644
--- a/.clang-tidy
+++ b/.clang-tidy
@@ -5,7 +5,19 @@
 # Disable modernize-use-trailing-return-type (too many hits)
 # Disable modernize-use-nodiscard (why isnt [[nodiscard]] the default?)
 # Enable identifier in TODO comments
-Checks: -*,readability-identifier-naming,modernize-*,-modernize-use-trailing-return-type,-modernize-use-nodiscard,google-readability-todo
+Checks: >
+  -*,
+  readability-identifier-naming,
+  modernize-*,
+  -modernize-use-trailing-return-type,
+  -modernize-use-nodiscard,
+  google-readability-todo
+
+WarningsAsErrors: >
+  *,
+  -clang-diagnostic-unused-command-line-argument,
+  -Wno-ignored-optimization-argument,
+  -Qunused-arguments
 
 #WarningsAsErrors: '*'
 HeaderFilterRegex: '.*\/include\/morpheus\/.*'
diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
index 0253b975a8..9195d475d4 100644
--- a/.devcontainer/Dockerfile
+++ b/.devcontainer/Dockerfile
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,6 +13,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-FROM rapidsai/devcontainers:23.10-cpp-cuda11.8-mambaforge-ubuntu22.04 AS base
+FROM rapidsai/devcontainers:23.12-cpp-cuda12.1-mambaforge-ubuntu22.04 AS base
 
 ENV PATH="${PATH}:/workspaces/morpheus/.devcontainer/bin"
diff --git a/.devcontainer/README.md b/.devcontainer/README.md
index f97716e67b..8a91347e49 100644
--- a/.devcontainer/README.md
+++ b/.devcontainer/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index 86f88d3799..720df1508d 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -99,7 +99,10 @@
 
     "features": {
         "ghcr.io/devcontainers/features/docker-from-docker": {},
-        "ghcr.io/devcontainers/features/dotnet:1": {}
+        "ghcr.io/devcontainers/features/dotnet:1": {
+            "version": "6.0",
+            "installUsingApt": false
+        }
     },
 
     "customizations": {
@@ -116,7 +119,6 @@
 			],
             "settings": {
                 "cmake.cmakePath": "/tmp/.current-conda-env/bin/cmake",
-                "cmake.languageSupport.dotnetPath": "/usr/bin/dotnet",
                 "C_Cpp.intelliSenseEngine": "disabled",
                 "python.terminal.activateEnvironment": false
             }
diff --git a/.devcontainer/docker-compose.yml b/.devcontainer/docker-compose.yml
index 5ae01ec22f..f9fdf0d858 100644
--- a/.devcontainer/docker-compose.yml
+++ b/.devcontainer/docker-compose.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.devcontainer/initialize-command.sh b/.devcontainer/initialize-command.sh
index c9612a9060..bdc70d1820 100755
--- a/.devcontainer/initialize-command.sh
+++ b/.devcontainer/initialize-command.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.devcontainer/opt/morpheus/bin/post-attach-command.sh b/.devcontainer/opt/morpheus/bin/post-attach-command.sh
index c1384cba6d..00a0ab3b5c 100755
--- a/.devcontainer/opt/morpheus/bin/post-attach-command.sh
+++ b/.devcontainer/opt/morpheus/bin/post-attach-command.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -27,6 +27,6 @@ ENV_NAME=${ENV_NAME:-morpheus}
 sed -ri "s/conda activate base/conda activate $ENV_NAME/g" ~/.bashrc;
 
 if conda_env_find "${ENV_NAME}" ; \
-then mamba env update --name ${ENV_NAME} -f ${MORPHEUS_ROOT}/docker/conda/environments/cuda11.8_dev.yml --prune; \
-else mamba env create --name ${ENV_NAME} -f ${MORPHEUS_ROOT}/docker/conda/environments/cuda11.8_dev.yml; \
+then mamba env update --name ${ENV_NAME} -f ${MORPHEUS_ROOT}/conda/environments/all_cuda-121_arch-x86_64.yaml --prune; \
+else mamba env create --name ${ENV_NAME} -f ${MORPHEUS_ROOT}/conda/environments/all_cuda-121_arch-x86_64.yaml; \
 fi
diff --git a/.devcontainer/opt/morpheus/bin/update-content-command.sh b/.devcontainer/opt/morpheus/bin/update-content-command.sh
index c4bc5a18d4..df003d1af2 100755
--- a/.devcontainer/opt/morpheus/bin/update-content-command.sh
+++ b/.devcontainer/opt/morpheus/bin/update-content-command.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.devcontainer/opt/morpheus/etc/enable_conda_libstd_pretty_print.py b/.devcontainer/opt/morpheus/etc/enable_conda_libstd_pretty_print.py
index f27afa2139..bfe973663c 100644
--- a/.devcontainer/opt/morpheus/etc/enable_conda_libstd_pretty_print.py
+++ b/.devcontainer/opt/morpheus/etc/enable_conda_libstd_pretty_print.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
index 3d3a427857..b378dac86b 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.yml
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
index 0fee737820..bfbd7ca060 100644
--- a/.github/ISSUE_TEMPLATE/config.yml
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/ISSUE_TEMPLATE/documentation_request_correction.yml b/.github/ISSUE_TEMPLATE/documentation_request_correction.yml
index b9f97f5306..e49e1427ad 100644
--- a/.github/ISSUE_TEMPLATE/documentation_request_correction.yml
+++ b/.github/ISSUE_TEMPLATE/documentation_request_correction.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/ISSUE_TEMPLATE/documentation_request_new.yml b/.github/ISSUE_TEMPLATE/documentation_request_new.yml
index a3f4d923d3..b938e3f610 100644
--- a/.github/ISSUE_TEMPLATE/documentation_request_new.yml
+++ b/.github/ISSUE_TEMPLATE/documentation_request_new.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml
index 116f3e7790..6a729b905e 100644
--- a/.github/ISSUE_TEMPLATE/feature_request.yml
+++ b/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/copy-pr-bot.yaml b/.github/copy-pr-bot.yaml
index 27db9f1096..ed013ce8db 100644
--- a/.github/copy-pr-bot.yaml
+++ b/.github/copy-pr-bot.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/ops-bot.yaml b/.github/ops-bot.yaml
index 63b96134d3..c22131c4ca 100644
--- a/.github/ops-bot.yaml
+++ b/.github/ops-bot.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,3 +20,4 @@ auto_merger: true
 branch_checker: true
 label_checker: true
 release_drafter: true
+forward_merger: true
diff --git a/.github/workflows/ci_pipe.yml b/.github/workflows/ci_pipe.yml
index c1a92cdbd5..0ffd718b3d 100644
--- a/.github/workflows/ci_pipe.yml
+++ b/.github/workflows/ci_pipe.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,6 +21,14 @@ on:
       run_check:
         required: true
         type: boolean
+      conda_run_build:
+        description: 'Runs the conda-build stage to ensure the conda package builds successfully'
+        required: true
+        type: boolean
+      conda_upload_label:
+        description: 'The label to use when uploading the conda package. Leave empty to disable uploading'
+        required: true
+        type: string
       container:
         required: true
         type: string
@@ -34,7 +42,7 @@ on:
 env:
   CHANGE_TARGET: "${{ github.base_ref }}"
   CUDA_PATH: "/usr/local/cuda/"
-  CUDA_VER: "11.8"
+  CUDA_VER: "12.1"
   GH_TOKEN: "${{ github.token }}"
   GIT_COMMIT: "${{ github.sha }}"
   MORPHEUS_ROOT: "${{ github.workspace }}/morpheus"
@@ -132,7 +140,6 @@ jobs:
       env:
         NVIDIA_VISIBLE_DEVICES: ${{ env.NVIDIA_VISIBLE_DEVICES }}
         PARALLEL_LEVEL: '10'
-        MERGE_EXAMPLES_YAML: '1'
     strategy:
       fail-fast: true
 
@@ -164,8 +171,6 @@ jobs:
         username: '$oauthtoken'
         password: ${{ secrets.NGC_API_KEY }}
       image: ${{ inputs.container }}
-      env:
-        MERGE_DOCS_YAML: '1'
     strategy:
       fail-fast: true
 
@@ -186,3 +191,40 @@ jobs:
       - name: build_docs
         shell: bash
         run: ./morpheus/ci/scripts/github/docs.sh
+
+  package:
+    name: Package
+    if: ${{ inputs.conda_run_build }}
+    needs: [check, documentation, test]
+    runs-on: linux-amd64-cpu16
+    timeout-minutes: 60
+    container:
+      credentials:
+        username: '$oauthtoken'
+        password: ${{ secrets.NGC_API_KEY }}
+      image: ${{ inputs.container }}
+    strategy:
+      fail-fast: true
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          lfs: false
+          path: 'morpheus'
+          fetch-depth: 0
+
+      - name: Get AWS credentials using OIDC
+        uses: aws-actions/configure-aws-credentials@v1-node16
+        with:
+          role-to-assume: ${{ vars.AWS_ROLE_ARN }}
+          aws-region: ${{ vars.AWS_REGION }}
+          role-duration-seconds: 43200 # 12h
+
+      - name: conda
+        shell: bash
+        env:
+          CONDA_TOKEN: "${{ secrets.CONDA_TOKEN }}"
+          SCRIPT_ARGS: "${{ inputs.conda_upload_label != '' && 'upload' || '' }}"
+          CONDA_PKG_LABEL: "${{ inputs.conda_upload_label }}"
+        run: ./morpheus/ci/scripts/github/conda.sh $SCRIPT_ARGS
diff --git a/.github/workflows/label-external-issues.yml b/.github/workflows/label-external-issues.yml
index 4c72ab8397..1b13d83c54 100644
--- a/.github/workflows/label-external-issues.yml
+++ b/.github/workflows/label-external-issues.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/workflows/pr.yaml b/.github/workflows/pr.yaml
new file mode 100644
index 0000000000..e928fafd7f
--- /dev/null
+++ b/.github/workflows/pr.yaml
@@ -0,0 +1,101 @@
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+name: Build pull request
+
+on:
+  push:
+    branches:
+      - 'pull-request/**'
+      - 'branch-*'
+
+# This allows a subsequently queued workflow run to interrupt previous runs
+concurrency:
+  group: '${{ github.workflow }} @ ${{ github.event.pull_request.head.label || github.head_ref || github.ref }}'
+  cancel-in-progress: true
+
+permissions:
+  actions: none
+  checks: none
+  contents: read
+  deployments: none
+  discussions: none
+  id-token: write
+  issues: none
+  packages: read
+  pages: none
+  pull-requests: read
+  repository-projects: none
+  security-events: none
+  statuses: none
+
+jobs:
+
+  pr-builder:
+    needs:
+      - prepare
+      - checks
+      - ci_pipe
+    secrets: inherit
+    uses: rapidsai/shared-workflows/.github/workflows/pr-builder.yaml@branch-24.02
+
+  prepare:
+    # Executes the get-pr-info action to determine if the PR has the skip-ci label, if the action fails we assume the
+    # PR does not have the label
+    name: Prepare
+    runs-on: ubuntu-latest
+    container:
+      image: rapidsai/ci-conda:latest
+    steps:
+      - name: Get PR Info
+        id: get-pr-info
+        uses: rapidsai/shared-action-workflows/get-pr-info@branch-23.08
+        if: ${{ startsWith(github.ref_name, 'pull-request/') }}
+    outputs:
+      is_pr: ${{ startsWith(github.ref_name, 'pull-request/') }}
+      is_main_branch: ${{ github.ref_name == 'main' }}
+      is_dev_branch: ${{ startsWith(github.ref_name, 'branch-') }}
+      has_conda_build_label: ${{ steps.get-pr-info.outcome == 'success' && contains(fromJSON(steps.get-pr-info.outputs.pr-info).labels.*.name, 'conda-build') || false }}
+      has_skip_ci_label: ${{ steps.get-pr-info.outcome == 'success' && contains(fromJSON(steps.get-pr-info.outputs.pr-info).labels.*.name, 'skip-ci') || false }}
+      pr_info: ${{ steps.get-pr-info.outcome == 'success' && steps.get-pr-info.outputs.pr-info || '' }}
+
+  checks:
+    needs: [prepare]
+    # Only run the CI pipeline if the PR does not have the skip-ci label and we are on a PR branch
+    if: ${{ !fromJSON(needs.prepare.outputs.has_skip_ci_label) && fromJSON(needs.prepare.outputs.is_pr )}}
+    secrets: inherit
+    uses: rapidsai/shared-workflows/.github/workflows/checks.yaml@branch-24.02
+    with:
+      enable_check_generated_files: false
+
+  ci_pipe:
+    name: CI Pipeline
+    needs: [prepare]
+    uses: ./.github/workflows/ci_pipe.yml
+    # Only run the CI pipeline if the PR does not have the skip-ci label
+    if: ${{ ! fromJSON(needs.prepare.outputs.has_skip_ci_label) }}
+    with:
+      # Run checks for any PR branch
+      run_check: ${{ fromJSON(needs.prepare.outputs.is_pr) }}
+      # Run conda-build for main/dev branches and PRs with the conda-build label
+      conda_run_build: ${{ !fromJSON(needs.prepare.outputs.is_pr) || fromJSON(needs.prepare.outputs.has_conda_build_label) }}
+      # Update conda package only for non PR branches. Use 'main' for main branch and 'dev' for all other branches
+      # Disable conda upload for now, once we have morpheus packages in conda forge set the value to
+      # !fromJSON(needs.prepare.outputs.is_pr) && (fromJSON(needs.prepare.outputs.is_main_branch) && 'main' || 'dev') || ''
+      conda_upload_label: ""
+      container: nvcr.io/ea-nvidia-morpheus/morpheus:morpheus-ci-build-240221
+      test_container: nvcr.io/ea-nvidia-morpheus/morpheus:morpheus-ci-test-240221
+    secrets:
+      NGC_API_KEY: ${{ secrets.NGC_API_KEY }}
diff --git a/.github/workflows/project_automation_set_in_progress.yml b/.github/workflows/project_automation_set_in_progress.yml
index c6f53d3bf6..77d2bd8f17 100644
--- a/.github/workflows/project_automation_set_in_progress.yml
+++ b/.github/workflows/project_automation_set_in_progress.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/workflows/project_automation_set_in_review.yml b/.github/workflows/project_automation_set_in_review.yml
index 9ad749c879..bacb6812df 100644
--- a/.github/workflows/project_automation_set_in_review.yml
+++ b/.github/workflows/project_automation_set_in_review.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/workflows/project_automation_set_roadmap.yml b/.github/workflows/project_automation_set_roadmap.yml
index 147ea3c4c2..19d458908f 100644
--- a/.github/workflows/project_automation_set_roadmap.yml
+++ b/.github/workflows/project_automation_set_roadmap.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/workflows/project_automation_sync_pr_issues.yml b/.github/workflows/project_automation_sync_pr_issues.yml
index 11e4f5c8ee..5dfa479138 100644
--- a/.github/workflows/project_automation_sync_pr_issues.yml
+++ b/.github/workflows/project_automation_sync_pr_issues.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/workflows/project_automation_track_pr_dates.yml b/.github/workflows/project_automation_track_pr_dates.yml
index 0d6b807dd1..d660e96484 100644
--- a/.github/workflows/project_automation_track_pr_dates.yml
+++ b/.github/workflows/project_automation_track_pr_dates.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml
deleted file mode 100644
index 52f513d6f5..0000000000
--- a/.github/workflows/pull_request.yml
+++ /dev/null
@@ -1,52 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-name: Build pull request
-
-on:
-  push:
-    branches:
-      - 'pull-request/**'
-      - 'branch-*'
-
-# This allows a subsequently queued workflow run to interrupt previous runs
-concurrency:
-  group: '${{ github.workflow }} @ ${{ github.event.pull_request.head.label || github.head_ref || github.ref }}'
-  cancel-in-progress: true
-
-permissions:
-  actions: none
-  checks: none
-  contents: read
-  deployments: none
-  discussions: none
-  id-token: write
-  issues: none
-  packages: read
-  pages: none
-  pull-requests: read
-  repository-projects: none
-  security-events: none
-  statuses: none
-
-jobs:
-  ci_pipe:
-    uses: ./.github/workflows/ci_pipe.yml
-    with:
-      run_check: ${{ startsWith(github.ref_name, 'pull-request/') }}
-      container: nvcr.io/ea-nvidia-morpheus/morpheus:morpheus-ci-build-230913
-      test_container: nvcr.io/ea-nvidia-morpheus/morpheus:morpheus-ci-test-230913
-    secrets:
-      NGC_API_KEY: ${{ secrets.NGC_API_KEY }}
diff --git a/.gitmodules b/.gitmodules
index 27afaf7099..a92915a355 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -1,8 +1,8 @@
 [submodule "external/morpheus-visualizations"]
 	path = external/morpheus-visualizations
 	url = https://github.com/nv-morpheus/morpheus-visualizations.git
-	branch = branch-23.11
-[submodule "morpheus_utils"]
+	branch = branch-24.03
+[submodule "external/utilities"]
 	path = external/utilities
 	url = https://github.com/nv-morpheus/utilities.git
-	branch = branch-23.11
+	branch = branch-24.03
diff --git a/docker/conda/environments/cuda11.8_runtime.yml b/.pre-commit-config.yaml
similarity index 67%
rename from docker/conda/environments/cuda11.8_runtime.yml
rename to .pre-commit-config.yaml
index b8cbfc29ef..d2054c813d 100644
--- a/docker/conda/environments/cuda11.8_runtime.yml
+++ b/.pre-commit-config.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,13 +13,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-name: morpheus
-channels:
-    - rapidsai
-    - nvidia
-    - rapidsai-nightly
-    - conda-forge
-    - defaults
-dependencies:
-    - nb_conda_kernels
-    - pip
+repos:
+      - repo: https://github.com/rapidsai/dependency-file-generator
+        rev: v1.7.1
+        hooks:
+            - id: rapids-dependency-file-generator
+              args: ["--clean"]
+
+default_language_version:
+      python: python3
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 01e6200ae5..d00283cc18 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,6 +15,93 @@ See the License for the specific language governing permissions and
 limitations under the License.
 -->
 
+# Morpheus 24.03.00 (7 Apr 2024)
+
+## 🚨 Breaking Changes
+
+- Updating `nlohman_json` to 3.11 to match MRC ([#1596](https://github.com/nv-morpheus/Morpheus/pull/1596)) [@mdemoret-nv](https://github.com/mdemoret-nv)
+- Add retry logic and proxy support to the NeMo LLM Service ([#1544](https://github.com/nv-morpheus/Morpheus/pull/1544)) [@mdemoret-nv](https://github.com/mdemoret-nv)
+- Upgrade `openai` version to 1.13 and `langchain` to version 0.1.9 ([#1529](https://github.com/nv-morpheus/Morpheus/pull/1529)) [@mdemoret-nv](https://github.com/mdemoret-nv)
+- Make `start_async()` available to source stages ([#1523](https://github.com/nv-morpheus/Morpheus/pull/1523)) [@efajardo-nv](https://github.com/efajardo-nv)
+- RAPIDS 24.02 Upgrade ([#1468](https://github.com/nv-morpheus/Morpheus/pull/1468)) [@cwharris](https://github.com/cwharris)
+- Decouple TritonInferenceStage from pipeline mode ([#1402](https://github.com/nv-morpheus/Morpheus/pull/1402)) [@dagardner-nv](https://github.com/dagardner-nv)
+
+## 🐛 Bug Fixes
+
+- Serialize datetime objects into the module config ([#1592](https://github.com/nv-morpheus/Morpheus/pull/1592)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Remove the defaults channel from `dependencies.yml` ([#1584](https://github.com/nv-morpheus/Morpheus/pull/1584)) [@mdemoret-nv](https://github.com/mdemoret-nv)
+- Fix `iso_date_regex_pattern` config in `file_batcher` module and allow override ([#1580](https://github.com/nv-morpheus/Morpheus/pull/1580)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Update DFP MLflow ModelManager to handle model retrieval using file URI ([#1578](https://github.com/nv-morpheus/Morpheus/pull/1578)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Fix `configure_logging` in DFP benchmarks ([#1553](https://github.com/nv-morpheus/Morpheus/pull/1553)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Catch langchain agent errors ([#1539](https://github.com/nv-morpheus/Morpheus/pull/1539)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Adding missing dependency on `pydantic` ([#1535](https://github.com/nv-morpheus/Morpheus/pull/1535)) [@yuchenz427](https://github.com/yuchenz427)
+- Fix memory leak in the mutable dataframe checkout/checkin code ([#1534](https://github.com/nv-morpheus/Morpheus/pull/1534)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Fix pathlib.Path support for FileSourceStage ([#1531](https://github.com/nv-morpheus/Morpheus/pull/1531)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Make `start_async()` available to source stages ([#1523](https://github.com/nv-morpheus/Morpheus/pull/1523)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Update CI Containers ([#1521](https://github.com/nv-morpheus/Morpheus/pull/1521)) [@cwharris](https://github.com/cwharris)
+- Fix intermittent segfault on interpreter shutdown ([#1513](https://github.com/nv-morpheus/Morpheus/pull/1513)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Adopt updated builds of CI runners ([#1503](https://github.com/nv-morpheus/Morpheus/pull/1503)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Update mlflow plugin version for deployments fix ([#1499](https://github.com/nv-morpheus/Morpheus/pull/1499)) [@pdmack](https://github.com/pdmack)
+- Add runtime environment output to fix building the release container ([#1496](https://github.com/nv-morpheus/Morpheus/pull/1496)) [@cwharris](https://github.com/cwharris)
+- Fix logging of sleep time ([#1493](https://github.com/nv-morpheus/Morpheus/pull/1493)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Pin pytest to &lt;8 ([#1485](https://github.com/nv-morpheus/Morpheus/pull/1485)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Improve pipeline stop logic to ensure join is called exactly once for all stages ([#1479](https://github.com/nv-morpheus/Morpheus/pull/1479)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Fix expected JSON config file extension in logger ([#1471](https://github.com/nv-morpheus/Morpheus/pull/1471)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Fix Loss Function to Improve Model Convergence for `AutoEncoder` ([#1460](https://github.com/nv-morpheus/Morpheus/pull/1460)) [@hsin-c](https://github.com/hsin-c)
+- GNN fraud detection notebook fix ([#1450](https://github.com/nv-morpheus/Morpheus/pull/1450)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Eliminate Redundant Fetches in RSS Controller ([#1442](https://github.com/nv-morpheus/Morpheus/pull/1442)) [@bsuryadevara](https://github.com/bsuryadevara)
+- Updating the workspace settings to remove deprecated python options ([#1440](https://github.com/nv-morpheus/Morpheus/pull/1440)) [@mdemoret-nv](https://github.com/mdemoret-nv)
+- Improve camouflage startup issues ([#1436](https://github.com/nv-morpheus/Morpheus/pull/1436)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Fixes to modular DFP examples and benchmarks ([#1429](https://github.com/nv-morpheus/Morpheus/pull/1429)) [@efajardo-nv](https://github.com/efajardo-nv)
+
+## 📖 Documentation
+
+- Update minimum compute requirements to Volta ([#1594](https://github.com/nv-morpheus/Morpheus/pull/1594)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Fix broken link in getting started with Morpheus doc ([#1494](https://github.com/nv-morpheus/Morpheus/pull/1494)) [@edknv](https://github.com/edknv)
+- Update abp-model-card.md ([#1439](https://github.com/nv-morpheus/Morpheus/pull/1439)) [@drobison00](https://github.com/drobison00)
+- Update gnn-fsi-model-card.md ([#1438](https://github.com/nv-morpheus/Morpheus/pull/1438)) [@drobison00](https://github.com/drobison00)
+- Update phishing-model-card.md ([#1437](https://github.com/nv-morpheus/Morpheus/pull/1437)) [@drobison00](https://github.com/drobison00)
+- Document incompatible mlflow models issue ([#1434](https://github.com/nv-morpheus/Morpheus/pull/1434)) [@dagardner-nv](https://github.com/dagardner-nv)
+
+## 🚀 New Features
+
+- Adding retry logic to the `TritonInferenceStage` to allow recovering from errors ([#1548](https://github.com/nv-morpheus/Morpheus/pull/1548)) [@cwharris](https://github.com/cwharris)
+- Create a base mixin class for ingress &amp; egress stages ([#1473](https://github.com/nv-morpheus/Morpheus/pull/1473)) [@dagardner-nv](https://github.com/dagardner-nv)
+- RAPIDS 24.02 Upgrade ([#1468](https://github.com/nv-morpheus/Morpheus/pull/1468)) [@cwharris](https://github.com/cwharris)
+- Install headers &amp; morpheus-config.cmake ([#1448](https://github.com/nv-morpheus/Morpheus/pull/1448)) [@dagardner-nv](https://github.com/dagardner-nv)
+
+## 🛠️ Improvements
+
+- Updating `nlohman_json` to 3.11 to match MRC ([#1596](https://github.com/nv-morpheus/Morpheus/pull/1596)) [@mdemoret-nv](https://github.com/mdemoret-nv)
+- DOCA 2.6 from public repo ([#1588](https://github.com/nv-morpheus/Morpheus/pull/1588)) [@e-ago](https://github.com/e-ago)
+- Support `ControlMessage` for `PreProcessNLPStage` `PreProcessFILStage` `AddScoreStageBase` ([#1573](https://github.com/nv-morpheus/Morpheus/pull/1573)) [@yuchenz427](https://github.com/yuchenz427)
+- Update MLflow in Production DFP example to use Python 3.10 ([#1572](https://github.com/nv-morpheus/Morpheus/pull/1572)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Fix environment yaml paths ([#1551](https://github.com/nv-morpheus/Morpheus/pull/1551)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Add retry logic and proxy support to the NeMo LLM Service ([#1544](https://github.com/nv-morpheus/Morpheus/pull/1544)) [@mdemoret-nv](https://github.com/mdemoret-nv)
+- Update to match new MRC function sig for AsyncioRunnable::on_data ([#1541](https://github.com/nv-morpheus/Morpheus/pull/1541)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Expose max_retries parameter to OpenAIChatService &amp; OpenAIChatClient ([#1536](https://github.com/nv-morpheus/Morpheus/pull/1536)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Upgrade `openai` version to 1.13 and `langchain` to version 0.1.9 ([#1529](https://github.com/nv-morpheus/Morpheus/pull/1529)) [@mdemoret-nv](https://github.com/mdemoret-nv)
+- Update ops-bot.yaml ([#1528](https://github.com/nv-morpheus/Morpheus/pull/1528)) [@AyodeAwe](https://github.com/AyodeAwe)
+- Add the ability to attach Tensor objects and timestamps to `ControlMessage` ([#1511](https://github.com/nv-morpheus/Morpheus/pull/1511)) [@drobison00](https://github.com/drobison00)
+- Fix or silence warnings emitted during tests ([#1501](https://github.com/nv-morpheus/Morpheus/pull/1501)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Support ControlMessage output in the C++ impl of DeserializeStage ([#1478](https://github.com/nv-morpheus/Morpheus/pull/1478)) [@dagardner-nv](https://github.com/dagardner-nv)
+- DOCA Source Stage improvements ([#1475](https://github.com/nv-morpheus/Morpheus/pull/1475)) [@e-ago](https://github.com/e-ago)
+- Update copyright headers for 2024 ([#1474](https://github.com/nv-morpheus/Morpheus/pull/1474)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Add conda builds to CI ([#1466](https://github.com/nv-morpheus/Morpheus/pull/1466)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Grafana log monitoring and error alerting example ([#1463](https://github.com/nv-morpheus/Morpheus/pull/1463)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Misc Conda Improvements ([#1462](https://github.com/nv-morpheus/Morpheus/pull/1462)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Simplification of the streaming RAG ingest example to improve usability ([#1454](https://github.com/nv-morpheus/Morpheus/pull/1454)) [@drobison00](https://github.com/drobison00)
+- Replace GPUtil with pynvml for benchmark reports ([#1451](https://github.com/nv-morpheus/Morpheus/pull/1451)) [@efajardo-nv](https://github.com/efajardo-nv)
+- Misc test improvements ([#1447](https://github.com/nv-morpheus/Morpheus/pull/1447)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Add a --manual_seed flag to the CLI ([#1445](https://github.com/nv-morpheus/Morpheus/pull/1445)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Optionally skip ci based on a label in the pr ([#1444](https://github.com/nv-morpheus/Morpheus/pull/1444)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Refactor verification of optional dependencies ([#1443](https://github.com/nv-morpheus/Morpheus/pull/1443)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Use dependencies.yaml as source-of-truth for environment files. ([#1441](https://github.com/nv-morpheus/Morpheus/pull/1441)) [@cwharris](https://github.com/cwharris)
+- Add mocked test &amp; benchmark for LLM agents pipeline ([#1424](https://github.com/nv-morpheus/Morpheus/pull/1424)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Add benchmarks for stand-alone RAG &amp; vdb upload pipelines ([#1421](https://github.com/nv-morpheus/Morpheus/pull/1421)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Add benchmark for completion pipeline ([#1414](https://github.com/nv-morpheus/Morpheus/pull/1414)) [@dagardner-nv](https://github.com/dagardner-nv)
+- Decouple TritonInferenceStage from pipeline mode ([#1402](https://github.com/nv-morpheus/Morpheus/pull/1402)) [@dagardner-nv](https://github.com/dagardner-nv)
+
 # Morpheus 23.11.01 (7 Dec 2023)
 
 ## 🐛 Bug Fixes
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 7aeb7773fc..4b57d23b1b 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2018-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,10 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-
 cmake_minimum_required(VERSION 3.25 FATAL_ERROR)
 
-
 list(APPEND CMAKE_MESSAGE_CONTEXT "morpheus")
 
 # Global options (Keep sorted!)
@@ -38,23 +36,13 @@ option(MORPHEUS_USE_IWYU "Enable running include-what-you-use as part of the bui
 
 set(MORPHEUS_PY_INSTALL_DIR "${CMAKE_CURRENT_BINARY_DIR}/wheel" CACHE STRING "Location to install the python directory")
 
-set(MORPHEUS_RAPIDS_VERSION "23.06" CACHE STRING "Sets default versions for RAPIDS libraries.")
+set(MORPHEUS_RAPIDS_VERSION "24.02" CACHE STRING "Sets default versions for RAPIDS libraries.")
 set(MORPHEUS_CACHE_DIR "${CMAKE_SOURCE_DIR}/.cache" CACHE PATH "Directory to contain all CPM and CCache data")
 mark_as_advanced(MORPHEUS_CACHE_DIR)
 
-set(CMAKE_CXX_STANDARD 20)
-set(CMAKE_CXX_STANDARD_REQUIRED ON)
-set(CMAKE_CXX_EXTENSIONS ON)
-set(CMAKE_POSITION_INDEPENDENT_CODE TRUE)
-set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
-set(CMAKE_INSTALL_RPATH "$ORIGIN")
-
-# Disable compile commands until after dependencies
-set(CMAKE_EXPORT_COMPILE_COMMANDS OFF)
-
 enable_testing()
 
-if (MORPHEUS_USE_IWYU AND MORPHEUS_USE_CCACHE)
+if(MORPHEUS_USE_IWYU AND MORPHEUS_USE_CCACHE)
   message(FATAL_ERROR "MORPHEUS_USE_IWYU and MORPHEUS_USE_CCACHE cannot be set simultaneously")
 endif()
 
@@ -80,66 +68,88 @@ set(MORPHEUS_UTILS_RAPIDS_VERSION ${MORPHEUS_RAPIDS_VERSION} CACHE STRING "" FOR
 # Load morpheus utils and update CMake paths
 include(morpheus_utils/load)
 
-# Configure project package manager
 morpheus_utils_initialize_package_manager(
-    MORPHEUS_USE_CONDA
-    BUILD_SHARED_LIBS
+  MORPHEUS_USE_CONDA
+  BUILD_SHARED_LIBS
 )
 
-# Configure CUDA architecture
-# NOTE: This MUST occur before any 'project' calls because of rapids_cmake requirements.
-if (DEFINED MORPHEUS_CUDA_ARCHITECTURES)
+# Initialize CUDA
+# This is a two-step process. We need to call morpheus_utils_initialize_cuda_arch which in turn calls
+# rapids_cuda_init_architectures prior to calling project(). This is because rapids_cuda_init_architectures defines a
+# `CMAKE_PROJECT_<PROJECT-NAME>_INCLUDE` hook which is invoked by the project() call. This hook is what allows us to
+# set `CMAKE_CUDA_ARCHITECTURES=rapids` when performing a release build which will be expanded to the current list of
+# supported architectures by our version of rapids.
+#
+# After the call to project() we can then call morpheus_utils_enable_cuda() which will set some CUDA+clang settings
+# which can only be performed after calling project(), but which must be set prior to calling enable_language(CUDA)
+if(DEFINED MORPHEUS_CUDA_ARCHITECTURES)
   set(CMAKE_CUDA_ARCHITECTURES "${MORPHEUS_CUDA_ARCHITECTURES}")
 endif()
 
 morpheus_utils_initialize_cuda_arch(morpheus)
 
-# Set a default build type if none was specified
-rapids_cmake_build_type(Release)
 # Project definition
+# Note intentionally excluding CUDA from the LANGUAGES list allowing us to set some clang specific settings later when
+# we call morpheus_utils_enable_cuda()
 project(morpheus
-    VERSION 23.11.00
-    LANGUAGES C CXX CUDA)
+  VERSION 24.03.00
+  LANGUAGES C CXX
+)
+
+# This sets some clang specific settings for CUDA prior to calling enable_language(CUDA)
+morpheus_utils_enable_cuda()
 
 rapids_cmake_write_version_file(${CMAKE_BINARY_DIR}/autogenerated/include/morpheus/version.hpp)
 
-# Ccache configuration
+# Set a default build type if none was specified
+rapids_cmake_build_type(Release)
+
+set(CMAKE_CXX_STANDARD 20)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+set(CMAKE_CXX_EXTENSIONS ON)
+set(CMAKE_POSITION_INDEPENDENT_CODE TRUE)
+set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
+set(CMAKE_INSTALL_RPATH "$ORIGIN")
+
+# Setup cache before dependencies
+# Configure CCache if requested
 include(environment/init_ccache)
 
+# Disable exporting compile commands for dependencies
+set(CMAKE_EXPORT_COMPILE_COMMANDS OFF)
+
+# Create a custom target to allow preparing for style checks
+add_custom_target(${PROJECT_NAME}_style_checks
+  COMMENT "Building dependencies for style checks"
+)
+
 # Configure all dependencies
 include(dependencies)
 
-####################################
-# - Post dependencies setup --------
-morpheus_utils_compiler_set_defaults(MORPHEUS_USE_CLANG_TIDY)
-
-# Setup IWYU if enabled
-include(environment/init_iwyu)
+# Enable for all first party code
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
 
 # To make it easier for CI to find output files, set the default executable suffix to .x if not set
 if("${CMAKE_EXECUTABLE_SUFFIX}" STREQUAL "")
   set(CMAKE_EXECUTABLE_SUFFIX ".x")
 endif()
 
-# Create a custom target to allow preparing for style checks
-add_custom_target(${PROJECT_NAME}_style_checks
-  COMMENT "Building dependencies for style checks"
-)
-
-
-##################################
-##### Morpheus Python Setup ######
-##################################
+# ###################################
+# - Post dependencies setup --------
+morpheus_utils_compiler_set_defaults(MORPHEUS_USE_CLANG_TIDY)
 
-# Re-enable compile commands
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+# Setup IWYU if enabled
+include(environment/init_iwyu)
 
+# #################################
+# #### Morpheus Python Setup ######
+# #################################
 morpheus_utils_python_configure()
 
 # Include the main morpheus code
 morpheus_utils_create_python_package(morpheus
-    PROJECT_DIRECTORY "${CMAKE_SOURCE_DIR}"
-    SOURCE_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/morpheus"
+  PROJECT_DIRECTORY "${CMAKE_SOURCE_DIR}"
+  SOURCE_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/morpheus"
 )
 
 add_subdirectory(morpheus)
@@ -174,9 +184,9 @@ if(MORPHEUS_ENABLE_DEBUG_INFO)
   morpheus_utils_print_all_targets()
 
   morpheus_utils_print_target_properties(
-      TARGETS
-        morpheus morpheus._lib.llm
-      WRITE_TO_FILE
+    TARGETS
+      morpheus
+    WRITE_TO_FILE
   )
 
   morpheus_utils_print_global_properties(
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index c82422f036..9406ac0c7e 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/MANIFEST.in b/MANIFEST.in
index c8c2c6df7a..4503f2bcc4 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,4 +1,3 @@
-include versioneer.py
 include morpheus/_version.py
 recursive-include morpheus/data *
-recursive-include morpheus *.so py.typed *.pyi
+recursive-include morpheus *.cpython*.so py.typed *.pyi
diff --git a/README.md b/README.md
index 6a5c374cb5..9cd09c83a5 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/check_style.sh b/ci/check_style.sh
new file mode 100755
index 0000000000..9205625726
--- /dev/null
+++ b/ci/check_style.sh
@@ -0,0 +1,23 @@
+#!/bin/bash
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+set -euo pipefail
+
+rapids-logger "Create checks conda environment"
+. /opt/conda/etc/profile.d/conda.sh
+
+rapids-dependency-file-generator \
+  --output conda \
+  --file_key checks \
+  --matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
+
+rapids-mamba-retry env create --force -f env.yaml -n checks
+conda activate checks
+
+# Run pre-commit checks
+pre-commit run --all-files --show-diff-on-failure
diff --git a/ci/conda/channel/README.md b/ci/conda/channel/README.md
index a57b20e87e..854464f9c9 100644
--- a/ci/conda/channel/README.md
+++ b/ci/conda/channel/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/conda/channel/docker-compose.yml b/ci/conda/channel/docker-compose.yml
index 29152b28ae..5e5bae284e 100644
--- a/ci/conda/channel/docker-compose.yml
+++ b/ci/conda/channel/docker-compose.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/conda/recipes/morpheus/conda_build_config.yaml b/ci/conda/recipes/morpheus/conda_build_config.yaml
index f6bfd9e8d5..4b051dc074 100644
--- a/ci/conda/recipes/morpheus/conda_build_config.yaml
+++ b/ci/conda/recipes/morpheus/conda_build_config.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -23,13 +23,10 @@ cuda_compiler:
   - cuda-nvcc
 
 cuda_compiler_version:
-  - 11.8
+  - 12.1
 
 python:
   - 3.10
 
-boost:
-  - 1.82
-
 rapids_version:
-  - 23.06
+  - 24.02
diff --git a/ci/conda/recipes/morpheus/meta.yaml b/ci/conda/recipes/morpheus/meta.yaml
index 365cecd448..8142c33ebf 100644
--- a/ci/conda/recipes/morpheus/meta.yaml
+++ b/ci/conda/recipes/morpheus/meta.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -46,78 +46,82 @@ outputs:
     requirements:
       build:
         - {{ compiler("c") }}
-        - {{ compiler("cxx") }}
         - {{ compiler("cuda") }}
-        - automake 1.16.5 # Needed for DOCA build
+        - {{ compiler("cxx") }}
+        - automake =1.16.5 # Needed for DOCA build
         - ccache
-        - cmake 3.25
-        - cuda-cudart-dev {{ cuda_compiler_version }} # Needed by CMake to compile a test application
+        - cmake =3.27
+        - cuda-cudart-dev {{ cuda_compiler_version }}.* # Needed by CMake to compile a test application
+        - cuda-version {{ cuda_compiler_version }}.*
         - libtool # Needed for DOCA build
-        - ninja
+        - ninja =1.11
+        - pkg-config =0.29 # for mrc cmake
+        - sysroot_linux-64 =2.17
       host:
-        - cuda-toolkit {{ cuda_compiler_version }}
+        - cuda-cudart-dev {{ cuda_compiler_version }}.*
+        - cuda-libraries-dev {{ cuda_compiler_version }}.* # required by matx for libcublas-dev
+        - cuda-nvml-dev {{ cuda_compiler_version }}.*
+        - cuda-nvrtc-dev {{ cuda_compiler_version }}.*
+        - cuda-nvtx-dev {{ cuda_compiler_version }}.*
+        - cuda-version {{ cuda_compiler_version }}.*
         - cudf {{ rapids_version }}
-        - cython >=0.29,<0.30
+        - cython =3.0
         - libcudf {{ rapids_version }}
-        - librdkafka 1.9.2
+        - librdkafka >=1.9.2,<1.10.0a0
         - mrc {{ minor_version }}
         - pip
-        - pyarrow * *_cuda # Ensure we get a CUDA build. Version determined by cuDF
-        - pybind11-stubgen 0.10.5
+        - pybind11-stubgen =0.10.5
         - python {{ python }}
-        - rapidjson 1.1
-        - rdma-core >=48 # Needed for DOCA. Compatible with UCX 1.14.1
-        - scikit-build 0.17.1
+        - rapidjson =1.1.0
+        - rdma-core >=48 # Needed for DOCA.
+        - scikit-build =0.17.6
         - versioneer-518
+        - zlib # required to build triton client
       run:
         # Runtime only requirements. This + setup.py is the definitive runtime requirement list
-        - {{ pin_compatible('cuda-cudart', min_pin='x.x', max_pin='x') }}
         - click >=8
-        - configargparse 1.5.*
+        - configargparse =1.5.*
+        - cuda-version {{ cuda_compiler_version }}.*
         - cudf
-        - cudf_kafka {{ rapids_version }}.*
         - cupy # Version determined from cudf
-        - datacompy 0.8.*
+        - datacompy =0.10.*
         - dill
         - distributed
-        - docker-py 5.0.*
+        - docker-py =5.0.*
         - grpcio # Version determined from cudf
         - libmrc
         - libwebp>=1.3.2 # Required for CVE mitigation: https://nvd.nist.gov/vuln/detail/CVE-2023-4863
         - mlflow>=2.2.1,<3
         - mrc
         - networkx>=2.8
-        - numpydoc 1.4.*
-        - nvtabular {{ rapids_version }}.*
-        - pandas 1.3.*
-        - pluggy 1.0.*
+        - numpydoc =1.5.*
+        - nvtabular =23.08.00
+        - pandas
+        - pluggy =1.3.*
         - pyarrow * *_cuda # Ensure we get a CUDA build. Version determined by cuDF
         - python
-        - python-confluent-kafka 1.9.2
-        - pytorch 2.0.1
+        - python-confluent-kafka >=1.9.2,<1.10.0a0
+        - pytorch
         - pytorch-cuda
-        - requests=2.31
-        - requests-cache=1.1
-        - scikit-learn 1.2.2.*
-        - sqlalchemy <=2.0 # 2.0 is incompatible with pandas=1.3
-        - tqdm 4.*
-        - tritonclient 2.26.*
-        - typing_utils 0.1.*
-        - watchdog 2.1.*
+        - requests
+        - requests-cache =1.1
+        - scikit-learn =1.3.2.*
+        - sqlalchemy <2.0 # 2.0 is incompatible with pandas=1.3
+        - tqdm =4.*
+        - tritonclient =2.34.*
+        - typing_utils =0.1.*
+        - watchdog =3.0.*
         - websockets
-      run_constrained:
-        # Since we dont explicitly require this but other packages might, constrain the versions.
-        - {{ pin_compatible('cudatoolkit', min_pin='x.x', max_pin='x') }}
     test:
       requires:
-        - gputil
-        - pytest
-        - pytest-cov
-        - pytest-benchmark
         # test that cuml can be installed in the env
         - cuml {{ rapids_version }}.*
+        - pynvml
+        - pytest-asyncio
+        - pytest-benchmark
+        - pytest-cov
+        - pytest =7.4.4
       source_files:
-        - docker/conda/environments/*
         - pyproject.toml
         - scripts/fetch_data.py
         - tests/*
diff --git a/ci/conda/recipes/morpheus/morpheus_build.sh b/ci/conda/recipes/morpheus/morpheus_build.sh
index 5381dee0a4..721f7a3e44 100644
--- a/ci/conda/recipes/morpheus/morpheus_build.sh
+++ b/ci/conda/recipes/morpheus/morpheus_build.sh
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -90,7 +90,7 @@ cmake -B ${BUILD_DIR} \
    .
 
 # Build the components
-cmake --build ${BUILD_DIR} -j${PARALLEL_LEVEL:-$(nproc)}
+cmake --build ${BUILD_DIR} -j${PARALLEL_LEVEL:-$(nproc)} --target install
 
 # Install just the python wheel components
 ${PYTHON} -m pip install -vv ${BUILD_DIR}/dist/*.whl
diff --git a/ci/conda/recipes/python-dbg/build.sh b/ci/conda/recipes/python-dbg/build.sh
index 15e43edd11..f5225d1e5b 100644
--- a/ci/conda/recipes/python-dbg/build.sh
+++ b/ci/conda/recipes/python-dbg/build.sh
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/conda/recipes/python-dbg/conda_build_config.yaml b/ci/conda/recipes/python-dbg/conda_build_config.yaml
index 5a531890ca..610de68201 100644
--- a/ci/conda/recipes/python-dbg/conda_build_config.yaml
+++ b/ci/conda/recipes/python-dbg/conda_build_config.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/conda/recipes/python-dbg/meta.yaml b/ci/conda/recipes/python-dbg/meta.yaml
index 3bf036a532..37720c0567 100644
--- a/ci/conda/recipes/python-dbg/meta.yaml
+++ b/ci/conda/recipes/python-dbg/meta.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,7 +16,7 @@
 {% set version = environ.get('MORPHEUS_PYTHON_VER') %}
 
 package:
-  name: python
+  name: morpheus-python-dbg
   version: {{ version }}
 
 source:
diff --git a/ci/conda/recipes/python_dbg_install.sh b/ci/conda/recipes/python_dbg_install.sh
index de29eb0991..e26173f6e1 100755
--- a/ci/conda/recipes/python_dbg_install.sh
+++ b/ci/conda/recipes/python_dbg_install.sh
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/conda/recipes/run_conda_build.sh b/ci/conda/recipes/run_conda_build.sh
index 3a52e10190..d53ce56323 100755
--- a/ci/conda/recipes/run_conda_build.sh
+++ b/ci/conda/recipes/run_conda_build.sh
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -48,6 +48,7 @@ export CMAKE_CUDA_ARCHITECTURES=${CMAKE_CUDA_ARCHITECTURES:-"RAPIDS"}
 export MORPHEUS_PYTHON_BUILD_STUBS=${MORPHEUS_PYTHON_BUILD_STUBS:-"ON"}
 export MORPHEUS_CACHE_DIR=${MORPHEUS_CACHE_DIR:-"${MORPHEUS_ROOT}/.cache"}
 export PARALLEL_LEVEL=${PARALLEL_LEVEL:-$(nproc)}
+export MORPHEUS_SUPPORT_DOCA=${MORPHEUS_SUPPORT_DOCA:-OFF}
 
 # Set CONDA_CHANNEL_ALIAS to mimic the conda config channel_alias property during the build
 CONDA_CHANNEL_ALIAS=${CONDA_CHANNEL_ALIAS:-""}
@@ -88,13 +89,15 @@ if [[ "${CONDA_COMMAND}" == "mambabuild" || "${CONDA_COMMAND}" == "build" ]]; th
    CONDA_ARGS_ARRAY+=("--build-id-pat" "{n}-{v}")
 fi
 
-# And default channels (with optional channel alias)
+# And default channels (should match dependencies.yaml) with optional channel alias
+CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}conda-forge")
+CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}huggingface")
 CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}rapidsai")
-CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}nvidia/label/cuda-11.8.0")
+CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}rapidsai-nightly")
 CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}nvidia")
 CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}nvidia/label/dev")
 CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}pytorch")
-CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}conda-forge")
+CONDA_ARGS_ARRAY+=("-c" "${CONDA_CHANNEL_ALIAS:+"${CONDA_CHANNEL_ALIAS%/}/"}defaults")
 
 if hasArg morpheus; then
    # Set GIT_VERSION to set the project version inside of meta.yaml
diff --git a/ci/docker/build.sh b/ci/docker/build.sh
index a3a2dc974a..4b0ea7519b 100644
--- a/ci/docker/build.sh
+++ b/ci/docker/build.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/iwyu/mappings.imp b/ci/iwyu/mappings.imp
index 27bae40b50..a087b65fbe 100644
--- a/ci/iwyu/mappings.imp
+++ b/ci/iwyu/mappings.imp
@@ -52,41 +52,10 @@
 
 # rxcpp
 # Hide includes that are exported by <rxcpp/rx.hpp>
-{ "include": [ "\"rx-includes.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-util.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-util.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-predef.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-predef.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-subscription.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-subscription.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rx-observable.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rx-observer.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-observer.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-observer.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rx-operators.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rx-predef.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-scheduler.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-scheduler.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-subscriber.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-subscriber.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rx-subscriber.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-notification.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-notification.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-coordination.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-coordination.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-sources.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-sources.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-subjects.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-subjects.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-operators.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-operators.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-observable.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-observable.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-connectable_observable.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-connectable_observable.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<rxcpp/rx-grouped_observable.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "\"rxcpp/rx-grouped_observable.hpp\"", private, "<rxcpp/rx.hpp>", "public" ] },
-{ "include": [ "<sources/rx-iterate.hpp>", private, "<rxcpp/rx.hpp>", "public" ] },
+{ "include": ["@<rxcpp/.*>", "private", "<rxcpp/rx.hpp>", "public" ] },
+{ "include": ["@\"rxcpp/.*\"", "private", "<rxcpp/rx.hpp>", "public" ] },
+{ "include": ["@<rxcpp/rx-.*>", "private", "<rxcpp/rx.hpp>", "public" ] },
+{ "include": ["@\"rxcpp/rx-.*\"", "private", "<rxcpp/rx.hpp>", "public" ] },
 
 #Triton Client
 { "include": ["\"common.h\"", "private", "<http_client.h>", "public"] },
@@ -118,7 +87,6 @@
 { "symbol": ["nlohmann::json", "private", "<nlohmann/json_fwd.hpp>", "public"] },
 
 # pybind11
-{ "symbol": ["pybind11", "private", "<pybind11/cast.h>", "public"] },
 { "symbol": ["pybind11", "private", "<pybind11/embed.h>", "public"] },
 { "symbol": ["pybind11", "private", "<pybind11/pybind11.h>", "public"] },
 { "symbol": ["pybind11", "private", "<pybind11/pytypes.h>", "public"] },
@@ -133,7 +101,6 @@
 { "symbol": ["PyObject", "private", "<pybind11/pybind11.h>", "public"] },
 { "symbol": ["PySequence_GetItem", "private", "<pybind11/pybind11.h>", "public"] },
 { "symbol": ["pybind11::arg", "private", "<pybind11/pybind11.h>", "public"] },
-{ "symbol": ["pybind11::detail::get_type_info", "private", "<pybind11/cast.h>", "public"] },
 { "symbol": ["pybind11::detail::key_error", "private", "<pybind11/pytypes.h>", "public"] },
 { "symbol": ["pybind11::detail::overload_cast_impl", "private", "<pybind11/pybind11.h>", "public"] },
 { "symbol": ["pybind11::detail::str_attr_accessor", "private", "<pybind11/pybind11.h>", "public"] },
diff --git a/ci/pylint/morpheus_lib_import_checker.py b/ci/pylint/morpheus_lib_import_checker.py
index 030a82ecb6..c639e58c71 100644
--- a/ci/pylint/morpheus_lib_import_checker.py
+++ b/ci/pylint/morpheus_lib_import_checker.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/release/pr_code_freeze_template.md b/ci/release/pr_code_freeze_template.md
index 1599c80515..1323fb7edc 100644
--- a/ci/release/pr_code_freeze_template.md
+++ b/ci/release/pr_code_freeze_template.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/release/update-version.sh b/ci/release/update-version.sh
index 14802e6e1a..01bd0531f8 100755
--- a/ci/release/update-version.sh
+++ b/ci/release/update-version.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -66,7 +66,7 @@ function sed_runner() {
 
 # .gitmodules
 git submodule set-branch -b branch-${NEXT_SHORT_TAG} external/morpheus-visualizations
-git submodule set-branch -b branch-${NEXT_SHORT_TAG} morpheus_utils
+git submodule set-branch -b branch-${NEXT_SHORT_TAG} external/utilities
 
 if [[ "$(git diff --name-only | grep .gitmodules)" != "" ]]; then
    # Only update the submodules if setting the branch changed .gitmodules. Otherwise this will undo the current commit
@@ -77,8 +77,8 @@ fi
 # Root CMakeLists.txt
 sed_runner 's/'"VERSION ${CURRENT_FULL_VERSION}.*"'/'"VERSION ${NEXT_FULL_VERSION}"'/g' CMakeLists.txt
 
-# Conda environment file
-sed_runner "s/mrc=${CURRENT_SHORT_TAG}/mrc=${NEXT_SHORT_TAG}/g" docker/conda/environments/cuda11.8_dev.yml
+# Depedencies file
+sed_runner "s/mrc=${CURRENT_SHORT_TAG}/mrc=${NEXT_SHORT_TAG}/g" dependencies.yaml
 
 # examples/digital_fingerprinting
 sed_runner "s/v${CURRENT_FULL_VERSION}-runtime/v${NEXT_FULL_VERSION}-runtime/g" \
diff --git a/ci/runner/Dockerfile b/ci/runner/Dockerfile
index 441b9b713d..57cc66f666 100644
--- a/ci/runner/Dockerfile
+++ b/ci/runner/Dockerfile
@@ -1,6 +1,6 @@
 # syntax=docker/dockerfile:1.3
 
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,14 +16,15 @@
 # limitations under the License.
 
 # Args used in FROM commands must come first
-ARG FROM_IMAGE="rapidsai/ci"
-ARG CUDA_PKG_VER=11-8
-ARG CUDA_SHORT_VER=11.8
-ARG CUDA_VER=11.8.0
+ARG FROM_IMAGE="rapidsai/ci-conda"
+ARG CUDA_PKG_VER=12-0
+ARG CUDA_SHORT_VER=12.1
+ARG CUDA_VER=12.1.1
 ARG LINUX_DISTRO=ubuntu
-ARG LINUX_VER=20.04
+ARG LINUX_VER=22.04
 ARG PROJ_NAME=morpheus
 ARG PYTHON_VER=3.10
+ARG ARCH=x86_64
 
 # Configure the base docker img
 FROM ${FROM_IMAGE}:cuda${CUDA_VER}-${LINUX_DISTRO}${LINUX_VER}-py${PYTHON_VER} AS base
@@ -34,27 +35,36 @@ ARG CUDA_SHORT_VER
 SHELL ["/bin/bash",  "-c"]
 
 # Create conda environment
-COPY ./docker/conda/environments/* /tmp/conda/
-
-RUN CONDA_ALWAYS_YES=true /opt/conda/bin/mamba env create -n ${PROJ_NAME} -q --file /tmp/conda/cuda${CUDA_SHORT_VER}_dev.yml && \
-    /opt/conda/bin/mamba install -n morpheus -c conda-forge "conda-merge>=0.2" && \
-    sed -i "s/conda activate base/conda activate ${PROJ_NAME}/g" ~/.bashrc && \
-    conda clean -afy && \
-    rm -rf /tmp/conda
+COPY ./dependencies.yaml /tmp/conda/
 
 
 # ============ build ==================
 FROM base as build
 
-# Add any build only dependencies here.
+# Add any build only dependencies here.ARG ARCH
+ARG CUDA_SHORT_VER
+ARG PROJ_NAME
+ARG PYTHON_VER
+
+RUN rapids-dependency-file-generator \
+      --config /tmp/conda/dependencies.yaml \
+      --output conda \
+      --file_key build \
+      --matrix "cuda=${CUDA_SHORT_VER};arch=${ARCH};py=${PYTHON_VER}" > /tmp/conda/env.yaml && \
+    CONDA_ALWAYS_YES=true /opt/conda/bin/conda env create -n ${PROJ_NAME} -q --file /tmp/conda/env.yaml && \
+    sed -i "s/conda activate base/conda activate ${PROJ_NAME}/g" ~/.bashrc && \
+    conda clean -afy && \
+    rm -rf /tmp/conda
 
 # ============ test ==================
 FROM base as test
 
 # Add any test only dependencies here.
 
-ARG PROJ_NAME
+ARG ARCH
 ARG CUDA_SHORT_VER
+ARG PROJ_NAME
+ARG PYTHON_VER
 
 RUN apt update && \
     DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC \
@@ -63,7 +73,16 @@ RUN apt update && \
     apt clean && \
     rm -rf /var/lib/apt/lists/*
 
-COPY ./docker/conda/environments/cuda${CUDA_SHORT_VER}_examples.yml /tmp/conda/cuda${CUDA_SHORT_VER}_examples.yml
+RUN rapids-dependency-file-generator \
+      --config /tmp/conda/dependencies.yaml \
+      --output conda \
+      --file_key test \
+      --matrix "cuda=${CUDA_SHORT_VER};arch=${ARCH};py=${PYTHON_VER}" > /tmp/conda/env.yaml && \
+    CONDA_ALWAYS_YES=true /opt/conda/bin/conda env create -n ${PROJ_NAME} -q --file /tmp/conda/env.yaml && \
+    sed -i "s/conda activate base/conda activate ${PROJ_NAME}/g" ~/.bashrc && \
+    conda clean -afy && \
+    rm -rf /tmp/conda
+
 COPY ./ci/scripts/download_kafka.py /tmp/scripts/download_kafka.py
 
 # Install camouflage needed for unittests to mock a triton server
diff --git a/ci/runner/README.md b/ci/runner/README.md
index d94f050e14..9b113bd995 100644
--- a/ci/runner/README.md
+++ b/ci/runner/README.md
@@ -1,5 +1,5 @@
 <!--
- SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  SPDX-License-Identifier: Apache-2.0
 
  Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/scripts/bootstrap_local_ci.sh b/ci/scripts/bootstrap_local_ci.sh
index a3d0217d60..3051b13af1 100755
--- a/ci/scripts/bootstrap_local_ci.sh
+++ b/ci/scripts/bootstrap_local_ci.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,11 +16,16 @@
 
 export WORKSPACE_TMP="$(pwd)/ws_tmp"
 mkdir -p ${WORKSPACE_TMP}
-git clone ${GIT_URL} Morpheus
-cd Morpheus/
-git checkout ${GIT_BRANCH}
-git pull
-git checkout ${GIT_COMMIT}
+
+if [[ "${USE_HOST_GIT}" == "1" ]]; then
+    cd Morpheus/
+else
+    git clone ${GIT_URL} Morpheus
+    cd Morpheus/
+    git checkout ${GIT_BRANCH}
+    git pull
+    git checkout ${GIT_COMMIT}
+fi
 
 export MORPHEUS_ROOT=$(pwd)
 export WORKSPACE=${MORPHEUS_ROOT}
diff --git a/ci/scripts/common.sh b/ci/scripts/common.sh
index d942aec853..3bfa4e0870 100644
--- a/ci/scripts/common.sh
+++ b/ci/scripts/common.sh
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,14 +22,11 @@ export PY_ROOT="${MORPHEUS_ROOT}"
 export PY_CFG="${PY_ROOT}/setup.cfg"
 export PY_DIRS="${PY_ROOT} ci/scripts"
 
-# work-around for known yapf issue https://github.com/google/yapf/issues/984
-export YAPF_EXCLUDE_FLAGS="-e versioneer.py -e morpheus/_version.py"
-
 # Determine the commits to compare against. If running in CI, these will be set. Otherwise, diff with main
 export BASE_SHA=${CHANGE_TARGET:-${BASE_SHA:-$(${SCRIPT_DIR}/gitutils.py get_merge_target)}}
 export COMMIT_SHA=${GIT_COMMIT:-${COMMIT_SHA:-HEAD}}
 
-export CPP_FILE_REGEX='^(\.\/)?(morpheus|tests)\/.*\.(cc|cpp|h|hpp)$'
+export CPP_FILE_REGEX='^(\.\/)?(examples|morpheus|tests)\/.*\.(cc|cpp|h|hpp)$'
 export PYTHON_FILE_REGEX='^(\.\/)?(?!\.|build|external).*\.(py|pyx|pxd)$'
 
 # Use these options to skip any of the checks
diff --git a/ci/scripts/copyright.py b/ci/scripts/copyright.py
index 3eab43e8c9..d6dee58dce 100755
--- a/ci/scripts/copyright.py
+++ b/ci/scripts/copyright.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2019-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2019-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -48,7 +48,8 @@
     re.compile(r"^[^ \/\n]*build[^ \/\n]*\/.*$"),  # Ignore any build*/ folder
     re.compile(r"^external\/.*$"),  # Ignore external
     re.compile(r"[^ \/\n]*docs/source/(_lib|_modules|_templates)/.*$"),
-    re.compile(r"PULL_REQUEST_TEMPLATE.md"),  # Ignore the PR template
+    re.compile(r"PULL_REQUEST_TEMPLATE.md"),  # Ignore the PR template,
+    re.compile(r"[^ \/\n]*conda/environments/.*\.yaml$"),  # Ignore generated environment files
 ]
 
 # this will break starting at year 10000, which is probably OK :)
diff --git a/ci/scripts/cpp_checks.sh b/ci/scripts/cpp_checks.sh
index 74b67053c3..f5fbb25b7f 100755
--- a/ci/scripts/cpp_checks.sh
+++ b/ci/scripts/cpp_checks.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/scripts/download_kafka.py b/ci/scripts/download_kafka.py
index 8bf61a8e5d..c3cc306354 100644
--- a/ci/scripts/download_kafka.py
+++ b/ci/scripts/download_kafka.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/scripts/fix_all.sh b/ci/scripts/fix_all.sh
index 449902cafe..4df6f4ded1 100755
--- a/ci/scripts/fix_all.sh
+++ b/ci/scripts/fix_all.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -82,8 +82,8 @@ if [[ "${SKIP_CLANG_FORMAT}" == "" ]]; then
 
    # If IGNORE_GIT_DIFF is enabled, use all files
    if [[ "${IGNORE_GIT_DIFF}" == "1" ]]; then
-      echo "Running clang-format from '${SCRIPT_DIR}/run-clang-format.py'..."
-      python3 ${SCRIPT_DIR}/run-clang-format.py -inplace -regex "${CPP_FILE_REGEX}" ./ 2>&1
+      echo "Running clang-format from '${SCRIPT_DIR}/run_clang_format.py'..."
+      python3 ${SCRIPT_DIR}/run_clang_format.py -inplace -regex "${CPP_FILE_REGEX}" ./ 2>&1
    else
       CLANG_FORMAT_DIFF=$(find_clang_format_diff)
 
@@ -105,5 +105,5 @@ fi
 # Run yapf
 if [[ "${SKIP_YAPF}" == "" ]]; then
    echo "Running yapf..."
-   python3 -m yapf -i --style ${PY_CFG} ${YAPF_EXCLUDE_FLAGS} -r ${PY_MODIFIED_FILES[@]}
+   python3 -m yapf -i --style ${PY_CFG} -r ${PY_MODIFIED_FILES[@]}
 fi
diff --git a/ci/scripts/github/build.sh b/ci/scripts/github/build.sh
index c03cc60d84..b75107f637 100755
--- a/ci/scripts/github/build.sh
+++ b/ci/scripts/github/build.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,7 +18,12 @@ set -e
 
 source ${WORKSPACE}/ci/scripts/github/common.sh
 
-update_conda_env
+rapids-dependency-file-generator \
+  --output conda \
+  --file_key build \
+  --matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
+
+update_conda_env env.yaml
 
 log_toolchain
 
diff --git a/ci/scripts/github/checks.sh b/ci/scripts/github/checks.sh
index 7426754590..487e053c7a 100755
--- a/ci/scripts/github/checks.sh
+++ b/ci/scripts/github/checks.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,7 +18,12 @@ set -e
 
 source ${WORKSPACE}/ci/scripts/github/common.sh
 
-update_conda_env
+rapids-dependency-file-generator \
+  --output conda \
+  --file_key build \
+  --matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
+
+update_conda_env env.yaml
 
 log_toolchain
 
diff --git a/ci/scripts/github/common.sh b/ci/scripts/github/common.sh
index 8756ea09bd..3aa6c4c69e 100644
--- a/ci/scripts/github/common.sh
+++ b/ci/scripts/github/common.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -61,10 +61,6 @@ export SCCACHE_REGION="us-east-2"
 export SCCACHE_IDLE_TIMEOUT=32768
 #export SCCACHE_LOG=debug
 
-export CONDA_ENV_YML=${MORPHEUS_ROOT}/docker/conda/environments/cuda${CUDA_VER}_dev.yml
-export CONDA_EXAMPLES_YML=${MORPHEUS_ROOT}/docker/conda/environments/cuda${CUDA_VER}_examples.yml
-export CONDA_DOCS_YML=${MORPHEUS_ROOT}/docs/conda_docs.yml
-
 export CMAKE_BUILD_ALL_FEATURES="-DCMAKE_MESSAGE_CONTEXT_SHOW=ON -DMORPHEUS_CUDA_ARCHITECTURES=60;70;75;80 -DMORPHEUS_BUILD_BENCHMARKS=ON -DMORPHEUS_BUILD_EXAMPLES=ON -DMORPHEUS_BUILD_TESTS=ON -DMORPHEUS_USE_CONDA=ON -DMORPHEUS_PYTHON_INPLACE_BUILD=OFF -DMORPHEUS_PYTHON_BUILD_STUBS=ON -DMORPHEUS_USE_CCACHE=ON"
 
 export FETCH_STATUS=0
@@ -75,30 +71,14 @@ function update_conda_env() {
     # Deactivate the environment first before updating
     conda deactivate
 
-    ENV_YAML=${CONDA_ENV_YML}
-    if [[ "${MERGE_EXAMPLES_YAML}" == "1" || "${MERGE_DOCS_YAML}" == "1" ]]; then
-        # Merge the dev, docs and examples envs, otherwise --prune will remove the examples packages
-        ENV_YAML=${WORKSPACE_TMP}/merged_env.yml
-        YAMLS="${CONDA_ENV_YML}"
-        if [[ "${MERGE_EXAMPLES_YAML}" == "1" ]]; then
-            YAMLS="${YAMLS} ${CONDA_EXAMPLES_YML}"
-        fi
-        if [[ "${MERGE_DOCS_YAML}" == "1" ]]; then
-            YAMLS="${YAMLS} ${CONDA_DOCS_YML}"
-        fi
-
-        rapids-logger "Merging conda envs: ${YAMLS}"
-        conda run -n morpheus --live-stream conda-merge ${YAMLS} > ${ENV_YAML}
-    fi
 
     if [[ "${SKIP_CONDA_ENV_UPDATE}" == "" ]]; then
         rapids-logger "Checking for updates to conda env"
 
-        # Remove default/conflicting channels from base image
-        rm /opt/conda/.condarc
 
         # Update the packages
-        rapids-mamba-retry env update -n morpheus --prune -q --file ${ENV_YAML}
+        # use conda instead of mamba due to bug: https://github.com/mamba-org/mamba/issues/3059
+        rapids-conda-retry env update -n morpheus --prune -q --file "$1" --solver=libmamba
     fi
 
     # Finally, reactivate
diff --git a/ci/scripts/github/conda.sh b/ci/scripts/github/conda.sh
new file mode 100755
index 0000000000..f92374f222
--- /dev/null
+++ b/ci/scripts/github/conda.sh
@@ -0,0 +1,63 @@
+#!/usr/bin/bash
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+set -e
+
+CI_SCRIPT_ARGS="$@"
+source ${WORKSPACE}/ci/scripts/github/common.sh
+
+cd ${MORPHEUS_ROOT}
+
+fetch_base_branch
+
+git submodule update --init --recursive
+
+# Its important that we are in the base environment for the build
+rapids-logger "Activating Base Conda Environment"
+
+# Deactivate any extra environments (There can be a few on the stack)
+while [[ "${CONDA_SHLVL:-0}" -gt 1 ]]; do
+   echo "Deactivating conda environment ${CONDA_DEFAULT_ENV}"
+   conda deactivate
+done
+
+# Ensure at least base is activated
+if [[ "${CONDA_DEFAULT_ENV}" != "base" ]]; then
+   echo "Activating base conda environment"
+   conda activate base
+fi
+
+# Print the info just to be sure base is active
+conda info
+
+rapids-logger "Building Conda Package"
+
+# Run the conda build, and upload to conda forge if requested
+export MORPHEUS_PYTHON_BUILD_STUBS=OFF
+export CONDA_ARGS="--skip-existing"
+${MORPHEUS_ROOT}/ci/conda/recipes/run_conda_build.sh morpheus "${CI_SCRIPT_ARGS}"
+
+# If we didn't receive the upload argument, upload the artifact to S3
+if [[ " ${CI_SCRIPT_ARGS} " =~ " upload " ]]; then
+   rapids-logger "Building Conda Package... Done"
+else
+   # if we didn't receive the upload argument, we can still upload the artifact to S3
+   tar cfj "${WORKSPACE_TMP}/conda.tar.bz" "${RAPIDS_CONDA_BLD_OUTPUT_DIR}"
+   ls -lh ${WORKSPACE_TMP}/
+
+   rapids-logger "Pushing results to ${DISPLAY_ARTIFACT_URL}/"
+   upload_artifact "${WORKSPACE_TMP}/conda.tar.bz"
+fi
diff --git a/ci/scripts/github/docs.sh b/ci/scripts/github/docs.sh
index 4c2a5703f2..f928d02a38 100755
--- a/ci/scripts/github/docs.sh
+++ b/ci/scripts/github/docs.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,7 +18,12 @@ set -e
 
 source ${WORKSPACE}/ci/scripts/github/common.sh
 
-update_conda_env
+rapids-dependency-file-generator \
+  --output conda \
+  --file_key docs \
+  --matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
+
+update_conda_env env.yaml
 
 download_artifact "wheel.tar.bz"
 
@@ -35,10 +40,11 @@ ${MORPHEUS_ROOT}/scripts/fetch_data.py fetch docs examples
 git submodule update --init --recursive
 
 rapids-logger "Configuring for docs"
-cmake -B build -G Ninja ${CMAKE_BUILD_ALL_FEATURES} -DMORPHEUS_PYTHON_BUILD_STUBS=OFF -DMORPHEUS_BUILD_DOCS=ON .
+cmake -B build -G Ninja ${CMAKE_BUILD_ALL_FEATURES} -DCMAKE_INSTALL_PREFIX=${CONDA_PREFIX} -DMORPHEUS_PYTHON_BUILD_STUBS=OFF -DMORPHEUS_BUILD_DOCS=ON .
 
 rapids-logger "Building docs"
-cmake --build build --target morpheus_docs
+cmake --build build --parallel ${PARALLEL_LEVEL} --target install
+cmake --build build --parallel ${PARALLEL_LEVEL} --target morpheus_docs
 
 rapids-logger "Archiving the docs"
 tar cfj "${WORKSPACE_TMP}/docs.tar.bz" build/docs/html
diff --git a/ci/scripts/github/test.sh b/ci/scripts/github/test.sh
index d96c2ed888..fe4fe23813 100755
--- a/ci/scripts/github/test.sh
+++ b/ci/scripts/github/test.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,15 +19,14 @@ set -e
 source ${WORKSPACE}/ci/scripts/github/common.sh
 /usr/bin/nvidia-smi
 
-update_conda_env
+rapids-dependency-file-generator \
+  --output conda \
+  --file_key test \
+  --matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
 
-rapids-logger "Check versions"
-python3 --version
-x86_64-conda-linux-gnu-cc --version
-x86_64-conda-linux-gnu-c++ --version
-cmake --version
-ninja --version
-sccache --version
+update_conda_env env.yaml
+
+log_toolchain
 
 git submodule update --init --recursive
 
@@ -36,6 +35,7 @@ CMAKE_FLAGS="${CMAKE_FLAGS} -DCMAKE_BUILD_RPATH_USE_ORIGIN=ON"
 CMAKE_FLAGS="${CMAKE_FLAGS} -DMORPHEUS_PYTHON_BUILD_STUBS=ON"
 CMAKE_FLAGS="${CMAKE_FLAGS} -DMORPHEUS_PYTHON_BUILD_WHEEL=OFF"
 CMAKE_FLAGS="${CMAKE_FLAGS} -DMORPHEUS_PYTHON_PERFORM_INSTALL=ON"
+CMAKE_FLAGS="${CMAKE_FLAGS} -DCMAKE_INSTALL_PREFIX=${CONDA_PREFIX}"
 if [[ "${LOCAL_CI}" == "" ]]; then
     CMAKE_FLAGS="${CMAKE_FLAGS} -DCCACHE_PROGRAM_PATH=$(which sccache)"
 fi
@@ -44,7 +44,7 @@ rapids-logger "Configuring cmake for Morpheus with ${CMAKE_FLAGS}"
 cmake -B build -G Ninja ${CMAKE_FLAGS} .
 
 rapids-logger "Building Morpheus"
-cmake --build build --parallel ${PARALLEL_LEVEL}
+cmake --build build --parallel ${PARALLEL_LEVEL} --target install
 
 if [[ "${LOCAL_CI}" == "" ]]; then
     rapids-logger "sccache usage for morpheus build:"
@@ -69,8 +69,8 @@ rapids-logger "Pulling LFS assets"
 git lfs install
 ${MORPHEUS_ROOT}/scripts/fetch_data.py fetch tests validation
 
-# List missing files
-rapids-logger "Listing missing files"
+# Listing LFS-known files
+rapids-logger "Listing LFS-known files"
 git lfs ls-files
 
 REPORTS_DIR="${WORKSPACE_TMP}/reports"
diff --git a/ci/scripts/gitutils.py b/ci/scripts/gitutils.py
index 9ab5d0ce16..d3eb6e384a 100755
--- a/ci/scripts/gitutils.py
+++ b/ci/scripts/gitutils.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2019-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2019-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/scripts/python_checks.sh b/ci/scripts/python_checks.sh
index 536d3fb974..7455b2edfc 100755
--- a/ci/scripts/python_checks.sh
+++ b/ci/scripts/python_checks.sh
@@ -1,6 +1,6 @@
 #!/bin/bash
 
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -59,7 +59,7 @@ if [[ -n "${MORPHEUS_MODIFIED_FILES}" ]]; then
 
    if [[ "${SKIP_YAPF}" == "" ]]; then
       # Run yapf. Will return 1 if there are any diffs
-      YAPF_OUTPUT=`python3 -m yapf --style ${PY_CFG} ${YAPF_EXCLUDE_FLAGS} --diff ${MORPHEUS_MODIFIED_FILES[@]} 2>&1`
+      YAPF_OUTPUT=`python3 -m yapf --style ${PY_CFG} --diff ${MORPHEUS_MODIFIED_FILES[@]} 2>&1`
       YAPF_RETVAL=$?
    fi
 
diff --git a/ci/scripts/run_ci_local.sh b/ci/scripts/run_ci_local.sh
index 4b13ef4f7f..fb29fdf139 100755
--- a/ci/scripts/run_ci_local.sh
+++ b/ci/scripts/run_ci_local.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,18 +14,20 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+set -eo pipefail
+
 case "$1" in
     "" )
         STAGES=("bash")
         ;;
     "all" )
-        STAGES=("checks" "build" "docs" "test")
+        STAGES=("checks" "build" "docs" "test" "conda")
         ;;
-    "checks" | "build" | "docs" | "test" | "bash" )
+    "checks" | "build" | "docs" | "test" | "conda" | "bash" )
         STAGES=("$1")
         ;;
     * )
-        echo "Error: Invalid argument \"$1\" provided. Expected values: \"all\", \"checks\", \"build\", \"docs\", \"test\", or \"bash\""
+        echo "Error: Invalid argument \"$1\" provided. Expected values: \"all\", \"checks\", \"build\", \"docs\", \"test\", \"conda\", or \"bash\""
         exit 1
         ;;
 esac
@@ -39,6 +41,10 @@ function git_ssh_to_https()
 
 MORPHEUS_ROOT=${MORPHEUS_ROOT:-$(git rev-parse --show-toplevel)}
 
+# Specifies whether to mount the current git repo (to allow changes to be persisted) or to use a clean clone (to closely
+# match CI, the default)
+USE_HOST_GIT=${USE_HOST_GIT:-0}
+
 GIT_URL=$(git remote get-url origin)
 GIT_URL=$(git_ssh_to_https ${GIT_URL})
 
@@ -49,8 +55,8 @@ GIT_BRANCH=$(git branch --show-current)
 GIT_COMMIT=$(git log -n 1 --pretty=format:%H)
 
 LOCAL_CI_TMP=${LOCAL_CI_TMP:-${MORPHEUS_ROOT}/.tmp/local_ci_tmp}
-CONTAINER_VER=${CONTAINER_VER:-230913}
-CUDA_VER=${CUDA_VER:-11.8}
+CONTAINER_VER=${CONTAINER_VER:-240221}
+CUDA_VER=${CUDA_VER:-12.1}
 DOCKER_EXTRA_ARGS=${DOCKER_EXTRA_ARGS:-""}
 
 BUILD_CONTAINER="nvcr.io/ea-nvidia-morpheus/morpheus:morpheus-ci-build-${CONTAINER_VER}"
@@ -64,6 +70,7 @@ ENV_LIST="${ENV_LIST} --env GIT_COMMIT=${GIT_COMMIT}"
 ENV_LIST="${ENV_LIST} --env PARALLEL_LEVEL=$(nproc)"
 ENV_LIST="${ENV_LIST} --env CUDA_VER=${CUDA_VER}"
 ENV_LIST="${ENV_LIST} --env SKIP_CONDA_ENV_UPDATE=${SKIP_CONDA_ENV_UPDATE}"
+ENV_LIST="${ENV_LIST} --env USE_HOST_GIT=${USE_HOST_GIT}"
 
 mkdir -p ${LOCAL_CI_TMP}
 cp ${MORPHEUS_ROOT}/ci/scripts/bootstrap_local_ci.sh ${LOCAL_CI_TMP}
@@ -72,16 +79,16 @@ for STAGE in "${STAGES[@]}"; do
     DOCKER_RUN_ARGS="--rm -ti --net=host -v "${LOCAL_CI_TMP}":/ci_tmp ${ENV_LIST} --env STAGE=${STAGE}"
     if [[ "${STAGE}" == "test" || "${USE_GPU}" == "1" ]]; then
         CONTAINER="${TEST_CONTAINER}"
-        DOCKER_RUN_ARGS="${DOCKER_RUN_ARGS} --runtime=nvidia --gpus all"
-        if [[ "${STAGE}" == "test" ]]; then
-            DOCKER_RUN_ARGS="${DOCKER_RUN_ARGS} --env MERGE_EXAMPLES_YAML=1 --cap-add=sys_nice"
-        fi
+        DOCKER_RUN_ARGS="${DOCKER_RUN_ARGS} --runtime=nvidia"
+        DOCKER_RUN_ARGS="${DOCKER_RUN_ARGS} --gpus all"
+        DOCKER_RUN_ARGS="${DOCKER_RUN_ARGS} --cap-add=sys_nice"
     else
         CONTAINER="${BUILD_CONTAINER}"
         DOCKER_RUN_ARGS="${DOCKER_RUN_ARGS} --runtime=runc"
-        if [[ "${STAGE}" == "docs" ]]; then
-            DOCKER_RUN_ARGS="${DOCKER_RUN_ARGS} --env MERGE_DOCS_YAML=1"
-        fi
+    fi
+
+    if [[ "${USE_HOST_GIT}" == "1" ]]; then
+        DOCKER_RUN_ARGS="${DOCKER_RUN_ARGS} -v ${MORPHEUS_ROOT}:/Morpheus"
     fi
 
     if [[ "${STAGE}" == "bash" ]]; then
@@ -91,7 +98,9 @@ for STAGE in "${STAGES[@]}"; do
     fi
 
     echo "Running ${STAGE} stage in ${CONTAINER}"
+    set -x
     docker run ${DOCKER_RUN_ARGS} ${DOCKER_EXTRA_ARGS} ${CONTAINER} ${DOCKER_RUN_CMD}
+    set +x
 
     STATUS=$?
     if [[ ${STATUS} -ne 0 ]]; then
diff --git a/ci/scripts/run-clang-format.py b/ci/scripts/run_clang_format.py
similarity index 86%
rename from ci/scripts/run-clang-format.py
rename to ci/scripts/run_clang_format.py
index d7439ada80..dda830cc25 100755
--- a/ci/scripts/run-clang-format.py
+++ b/ci/scripts/run_clang_format.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2019-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2019-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -34,7 +34,7 @@
 def parse_clang_version(version_string):
     match = VERSION_REGEX.search(version_string)
     if match is None:
-        raise Exception("Failed to figure out clang-format version!")
+        raise ValueError("Failed to figure out clang-format version!")
     version = match.group(1)
     return tuple(map(int, version.split('.')))
 
@@ -105,18 +105,18 @@ def parse_args():
     if args.dstdir is None:
         args.dstdir = tempfile.mkdtemp()
 
-    ret = subprocess.check_output("%s --version" % args.exe, shell=True)
+    ret = subprocess.check_output(f"{args.exe} --version", shell=True)
     ret = ret.decode("utf-8")
     version = parse_clang_version(ret)
     if version < MIN_VERSION:
-        raise Exception("clang-format exe must be v%s found '%s'" % (MIN_VERSION, version))
+        raise ValueError(f"clang-format exe must be v{MIN_VERSION} found '{version}'")
     if len(args.dirs) == 0 and len(args.files) == 0:
         args.dirs = DEFAULT_DIRS
     return args
 
 
 def list_all_src_files(file_regex, ignore_regex, srcfiles, srcdirs, dstdir, inplace):
-    allFiles = []
+    all_files = []
     for srcfile in srcfiles:
         if re.search(file_regex, srcfile):
             if ignore_regex is not None and re.search(ignore_regex, srcfile):
@@ -127,10 +127,10 @@ def list_all_src_files(file_regex, ignore_regex, srcfiles, srcdirs, dstdir, inpl
             else:
                 dstfile = os.path.join(dstdir, srcfile)
 
-            allFiles.append((srcfile, dstfile))
+            all_files.append((srcfile, dstfile))
 
     for srcdir in srcdirs:
-        for root, dirs, files in os.walk(srcdir):
+        for root, _, files in os.walk(srcdir):
             for f in files:
                 src = os.path.join(root, f)
                 if re.search(file_regex, src):
@@ -141,9 +141,9 @@ def list_all_src_files(file_regex, ignore_regex, srcfiles, srcdirs, dstdir, inpl
                     else:
                         _dir = os.path.join(dstdir, root)
                     dst = os.path.join(_dir, f)
-                    allFiles.append((src, dst))
+                    all_files.append((src, dst))
 
-    return allFiles
+    return all_files
 
 
 def run_clang_format(src, dst, exe, verbose):
@@ -152,22 +152,22 @@ def run_clang_format(src, dst, exe, verbose):
         os.makedirs(dstdir)
     # run the clang format command itself
     if src == dst:
-        cmd = "%s -i %s" % (exe, src)
+        cmd = f"{exe} -i {src}"
     else:
-        cmd = "%s %s > %s" % (exe, src, dst)
+        cmd = f"{exe} {src} > {dst}"
     try:
         subprocess.check_call(cmd, shell=True)
     except subprocess.CalledProcessError:
         print("Failed to run clang-format! Maybe your env is not proper?")
         raise
     # run the diff to check if there are any formatting issues
-    cmd = "diff -q %s %s >/dev/null" % (src, dst)
+    cmd = f"diff -q {src} {dst} >/dev/null"
     try:
         subprocess.check_call(cmd, shell=True)
         if verbose:
-            print("%s passed" % os.path.basename(src))
+            print(f"{os.path.basename(src)} passed")
     except subprocess.CalledProcessError:
-        print("%s failed! 'diff %s %s' will show formatting violations!" % (os.path.basename(src), src, dst))
+        print(f"{os.path.basename(src)} failed! 'diff {src} {dst}' will show formatting violations!")
         return False
     return True
 
@@ -198,9 +198,8 @@ def main():
         print(" 1. Look at formatting differences above and fix them manually")
         print(" 2. Or run the below command to bulk-fix all these at once")
         print("Bulk-fix command: ")
-        print("  python %s -inplace" % " ".join(sys.argv))
+        print(f"  python {' '.join(sys.argv)} -inplace")
         sys.exit(-1)
-    return
 
 
 if __name__ == "__main__":
diff --git a/ci/scripts/run_clang_tidy_for_ci.sh b/ci/scripts/run_clang_tidy_for_ci.sh
index 3d0543fc13..b0a7dc2c19 100755
--- a/ci/scripts/run_clang_tidy_for_ci.sh
+++ b/ci/scripts/run_clang_tidy_for_ci.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,11 +16,7 @@
 
 # set -x
 
-# Call clang-tidy adding warnings-as-errors option. Currently this is not
-# possible with clang-tidy-diff.py until this is merged:
-# https://reviews.llvm.org/D49864
-
 # Also add -fno-caret-diagnostics to prevent clangs own compiler warnings from
 # coming through:
 # https://github.com/llvm/llvm-project/blob/3f3faa36ff3d84af3c3ed84772d7e4278bc44ff1/libc/cmake/modules/LLVMLibCObjectRules.cmake#L226
-${CLANG_TIDY:-clang-tidy} --warnings-as-errors='*' --extra-arg=-fno-caret-diagnostics "$@"
+${CLANG_TIDY:-clang-tidy} --extra-arg=-fno-caret-diagnostics "$@"
diff --git a/ci/scripts/run_iwyu_for_ci.sh b/ci/scripts/run_iwyu_for_ci.sh
index 2e92b886a8..b50dea8aa2 100755
--- a/ci/scripts/run_iwyu_for_ci.sh
+++ b/ci/scripts/run_iwyu_for_ci.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2018-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/ci/scripts/version_checks.sh b/ci/scripts/version_checks.sh
index 0c76aed1be..a0fc6cf885 100755
--- a/ci/scripts/version_checks.sh
+++ b/ci/scripts/version_checks.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/cmake/dependencies.cmake b/cmake/dependencies.cmake
index c01516fa29..5bc821773e 100644
--- a/cmake/dependencies.cmake
+++ b/cmake/dependencies.cmake
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,50 +17,59 @@ list(APPEND CMAKE_MESSAGE_CONTEXT "dep")
 
 morpheus_utils_initialize_cpm(MORPHEUS_CACHE_DIR)
 
-
+# Show some setup variables (only prints if VERBOSE)
 morpheus_utils_print_config()
 
 # First, load the package_config functions
 include(${CMAKE_CURRENT_LIST_DIR}/package_config/register_api.cmake)
 
 # Load direct physical package dependencies first, so we fail early. Add all dependencies to our export set
-rapids_find_package(Protobuf
-  REQUIRED
+rapids_find_package(Protobuf REQUIRED
+  BUILD_EXPORT_SET ${PROJECT_NAME}-core-exports
+  INSTALL_EXPORT_SET ${PROJECT_NAME}-core-exports
+)
+
+rapids_find_package(CUDAToolkit REQUIRED
   BUILD_EXPORT_SET ${PROJECT_NAME}-core-exports
   INSTALL_EXPORT_SET ${PROJECT_NAME}-core-exports
 )
 
-find_package(CUDAToolkit REQUIRED)
+rapids_find_package(ZLIB
+  BUILD_EXPORT_SET ${PROJECT_NAME}-core-exports
+  INSTALL_EXPORT_SET ${PROJECT_NAME}-core-exports
+)
 
 if(MORPHEUS_BUILD_BENCHMARKS)
   # google benchmark
   # - Expects package to pre-exist in the build environment
   # ================
   rapids_find_package(benchmark REQUIRED
-    GLOBAL_TARGETS      benchmark::benchmark
-    BUILD_EXPORT_SET    ${PROJECT_NAME}-exports
-    INSTALL_EXPORT_SET  ${PROJECT_NAME}-exports
-    FIND_ARGS
-    CONFIG
+    GLOBAL_TARGETS benchmark::benchmark
+    BUILD_EXPORT_SET ${PROJECT_NAME}-core-exports
+    INSTALL_EXPORT_SET ${PROJECT_NAME}-core-exports
+    FIND_ARGS CONFIG
   )
 endif()
 
+# glog
+# ====
+morpheus_utils_configure_glog()
+
 if(MORPHEUS_BUILD_TESTS)
   # google test
   # - Expects package to pre-exist in the build environment
   # ===========
   rapids_find_package(GTest REQUIRED
-    GLOBAL_TARGETS      GTest::gtest GTest::gmock GTest::gtest_main GTest::gmock_main
-    BUILD_EXPORT_SET    ${PROJECT_NAME}-exports
-    INSTALL_EXPORT_SET  ${PROJECT_NAME}-exports
-    FIND_ARGS
-    CONFIG
+    GLOBAL_TARGETS GTest::gtest GTest::gmock GTest::gtest_main GTest::gmock_main
+    BUILD_EXPORT_SET ${PROJECT_NAME}-core-exports
+    INSTALL_EXPORT_SET ${PROJECT_NAME}-core-exports
+    FIND_ARGS CONFIG
   )
 endif()
 
-# libcudacxx -- get an explicit lubcudacxx build, matx tries to pull a tag that doesn't exist.
+# cccl -- get an explicit cccl build, matx tries to pull a tag that doesn't exist.
 # =========
-morpheus_utils_configure_libcudacxx()
+morpheus_utils_configure_cccl()
 
 # matx
 # ====
@@ -74,6 +83,10 @@ morpheus_utils_configure_pybind11()
 # =====
 morpheus_utils_configure_rdkafka()
 
+# RxCpp
+# =====
+morpheus_utils_configure_rxcpp()
+
 # MRC (Should come after all third party but before NVIDIA repos)
 # =====
 morpheus_utils_configure_mrc()
diff --git a/cmake/environment/init_ccache.cmake b/cmake/environment/init_ccache.cmake
index c740a5516a..74b36f5234 100644
--- a/cmake/environment/init_ccache.cmake
+++ b/cmake/environment/init_ccache.cmake
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/cmake/environment/init_iwyu.cmake b/cmake/environment/init_iwyu.cmake
index 71524645d8..9aa23df29b 100644
--- a/cmake/environment/init_iwyu.cmake
+++ b/cmake/environment/init_iwyu.cmake
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/cmake/package_config/bsd/Configure_bsd.cmake b/cmake/package_config/bsd/Configure_bsd.cmake
index ace4f7797d..1a68e006b7 100644
--- a/cmake/package_config/bsd/Configure_bsd.cmake
+++ b/cmake/package_config/bsd/Configure_bsd.cmake
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -32,7 +32,7 @@ function(morpheus_configure_libbsd)
   if (bsd_ADDED)
     message(STATUS "libbsd was not installed and will be built from source")
 
-    find_package(bsd REQUIRED)
+    find_package(md REQUIRED)
 
     set(bsd_INSTALL_DIR ${bsd_BINARY_DIR}/install)
     file(MAKE_DIRECTORY ${bsd_INSTALL_DIR}/include)
@@ -46,8 +46,6 @@ function(morpheus_configure_libbsd)
 
     cmake_path(GET MD_LIBRARY PARENT_PATH MD_LINK_DIRECTORY)
 
-    message(STATUS "MD_LIBRARY: ${MD_LINK_DIRECTORY}")
-
     # Get the Compiler settings to forward onto autoconf
     set(COMPILER_SETTINGS
       "CXX=${CMAKE_CXX_COMPILER_LAUNCHER} ${CMAKE_CXX_COMPILER}"
@@ -87,7 +85,7 @@ function(morpheus_configure_libbsd)
 
     # Install only the headers
     install(
-      DIRECTORY ${md_INSTALL_DIR}/include
+      DIRECTORY ${bsd_INSTALL_DIR}/include
       TYPE INCLUDE
     )
 
@@ -108,8 +106,6 @@ function(morpheus_configure_libbsd)
 
     add_dependencies(bsd::bsd bsd)
 
-    message(STATUS "bsd_INSTALL_DIR: ${bsd_INSTALL_DIR}")
-
   endif()
 
   LIST(POP_BACK CMAKE_MESSAGE_CONTEXT)
diff --git a/cmake/package_config/md/Configure_md.cmake b/cmake/package_config/md/Configure_md.cmake
index 0a366974e0..61af7908c9 100644
--- a/cmake/package_config/md/Configure_md.cmake
+++ b/cmake/package_config/md/Configure_md.cmake
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/cmake/package_config/register_api.cmake b/cmake/package_config/register_api.cmake
index dab90a0ff5..e10ddad975 100644
--- a/cmake/package_config/register_api.cmake
+++ b/cmake/package_config/register_api.cmake
@@ -1,5 +1,5 @@
 #=============================================================================
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/cmake/package_search/Finddoca.cmake b/cmake/package_search/Finddoca.cmake
index 77c07f865d..0f90d22bac 100644
--- a/cmake/package_search/Finddoca.cmake
+++ b/cmake/package_search/Finddoca.cmake
@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
diff --git a/cmake/package_search/Findlibdpdk.cmake b/cmake/package_search/Findlibdpdk.cmake
index fcfd1e7fb9..9d61c3bc83 100644
--- a/cmake/package_search/Findlibdpdk.cmake
+++ b/cmake/package_search/Findlibdpdk.cmake
@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
diff --git a/conda/environments/all_cuda-121_arch-x86_64.yaml b/conda/environments/all_cuda-121_arch-x86_64.yaml
new file mode 100644
index 0000000000..fdc3194a9c
--- /dev/null
+++ b/conda/environments/all_cuda-121_arch-x86_64.yaml
@@ -0,0 +1,129 @@
+# This file is generated by `rapids-dependency-file-generator`.
+# To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
+channels:
+- conda-forge
+- huggingface
+- rapidsai
+- rapidsai-nightly
+- nvidia
+- nvidia/label/dev
+- pytorch
+dependencies:
+- anyio>=3.7
+- appdirs
+- arxiv=1.4
+- automake
+- benchmark=1.8.3
+- boost-cpp=1.84
+- boto3
+- breathe=4.35.0
+- ccache
+- clangdev=16
+- click >=8
+- cmake=3.27
+- cuda-cudart-dev=12.1
+- cuda-nvcc
+- cuda-nvml-dev=12.1
+- cuda-nvrtc-dev=12.1
+- cuda-nvtx-dev=12.1
+- cuda-tools=12.1
+- cuda-version=12.1
+- cudf=24.02
+- cuml=24.02.*
+- cxx-compiler
+- cython=3.0
+- dask=2023.12.1
+- datacompy=0.10
+- dill=0.3.7
+- distributed=2023.12.1
+- doxygen=1.9.2
+- elasticsearch==8.9.0
+- exhale=0.3.6
+- feedparser=6.0.10
+- flake8
+- gcc_linux-64=11.2
+- git-lfs
+- glog=0.6
+- grpcio-status==1.59
+- grpcio=1.59
+- gxx_linux-64=11.2
+- huggingface_hub=0.20.2
+- include-what-you-use=0.20
+- ipython
+- isort
+- jsonpatch>=1.33
+- kfp
+- librdkafka>=1.9.2,<1.10.0a0
+- libtool
+- libwebp=1.3.2
+- mlflow=2.9.2
+- mrc=24.03
+- myst-parser=0.18.1
+- nbsphinx
+- networkx=2.8.8
+- newspaper3k=0.2
+- ninja=1.11
+- nlohmann_json=3.11
+- nodejs=18.*
+- numexpr
+- numpydoc=1.5
+- nvtabular=23.08.00
+- onnx
+- openai=1.13
+- papermill=2.4.0
+- pip
+- pkg-config=0.29
+- pluggy=1.3
+- pre-commit
+- protobuf=4.24
+- pybind11-stubgen=0.10.5
+- pydantic
+- pylint=3.0.3
+- pypdf=3.17.4
+- pytest-asyncio
+- pytest-benchmark=4.0
+- pytest-cov
+- pytest=7.4.4
+- python-confluent-kafka>=1.9.2,<1.10.0a0
+- python-docx==1.1.0
+- python-graphviz
+- python=3.10
+- pytorch-cuda
+- pytorch=*=*cuda*
+- rapidjson=1.1.0
+- rdma-core>=48
+- requests
+- requests-cache=1.1
+- requests-toolbelt
+- s3fs=2023.12.2
+- scikit-build=0.17.6
+- scikit-learn=1.3.2
+- sentence-transformers
+- sphinx
+- sphinx_rtd_theme
+- sqlalchemy
+- sysroot_linux-64=2.17
+- tqdm=4
+- transformers=4.36.2
+- tritonclient=2.34
+- typing_utils=0.1
+- ucx=1.15
+- versioneer
+- watchdog=3.0
+- websockets
+- yapf=0.40.1
+- zlib=1.2.13
+- pip:
+  - --find-links https://data.dgl.ai/wheels-test/repo.html
+  - --find-links https://data.dgl.ai/wheels/cu121/repo.html
+  - PyMuPDF==1.23.21
+  - databricks-connect
+  - dgl==2.0.0
+  - dglgo
+  - google-search-results==2.4
+  - langchain==0.1.9
+  - milvus==2.3.5
+  - nemollm
+  - pymilvus==2.3.6
+  - pytest-kafka==0.6.0
+name: all_cuda-121_arch-x86_64
diff --git a/conda/environments/dev_cuda-121_arch-x86_64.yaml b/conda/environments/dev_cuda-121_arch-x86_64.yaml
new file mode 100644
index 0000000000..da84bab2ae
--- /dev/null
+++ b/conda/environments/dev_cuda-121_arch-x86_64.yaml
@@ -0,0 +1,102 @@
+# This file is generated by `rapids-dependency-file-generator`.
+# To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
+channels:
+- conda-forge
+- huggingface
+- rapidsai
+- rapidsai-nightly
+- nvidia
+- nvidia/label/dev
+- pytorch
+dependencies:
+- appdirs
+- automake
+- benchmark=1.8.3
+- boost-cpp=1.84
+- breathe=4.35.0
+- ccache
+- clangdev=16
+- click >=8
+- cmake=3.27
+- cuda-cudart-dev=12.1
+- cuda-nvcc
+- cuda-nvml-dev=12.1
+- cuda-nvrtc-dev=12.1
+- cuda-nvtx-dev=12.1
+- cuda-tools=12.1
+- cuda-version=12.1
+- cudf=24.02
+- cxx-compiler
+- cython=3.0
+- datacompy=0.10
+- dill=0.3.7
+- doxygen=1.9.2
+- elasticsearch==8.9.0
+- exhale=0.3.6
+- feedparser=6.0.10
+- flake8
+- gcc_linux-64=11.2
+- git-lfs
+- glog=0.6
+- grpcio=1.59
+- gxx_linux-64=11.2
+- include-what-you-use=0.20
+- ipython
+- isort
+- librdkafka>=1.9.2,<1.10.0a0
+- libtool
+- mlflow=2.9.2
+- mrc=24.03
+- myst-parser=0.18.1
+- nbsphinx
+- networkx=2.8.8
+- ninja=1.11
+- nlohmann_json=3.11
+- nodejs=18.*
+- numpydoc=1.5
+- nvtabular=23.08.00
+- pip
+- pkg-config=0.29
+- pluggy=1.3
+- pre-commit
+- protobuf=4.24
+- pybind11-stubgen=0.10.5
+- pydantic
+- pylint=3.0.3
+- pytest-asyncio
+- pytest-benchmark=4.0
+- pytest-cov
+- pytest=7.4.4
+- python-confluent-kafka>=1.9.2,<1.10.0a0
+- python-docx==1.1.0
+- python-graphviz
+- python=3.10
+- pytorch-cuda
+- pytorch=*=*cuda*
+- rapidjson=1.1.0
+- rdma-core>=48
+- requests
+- requests-cache=1.1
+- requests-toolbelt
+- scikit-build=0.17.6
+- scikit-learn=1.3.2
+- sphinx
+- sphinx_rtd_theme
+- sqlalchemy
+- sysroot_linux-64=2.17
+- tqdm=4
+- tritonclient=2.34
+- typing_utils=0.1
+- ucx=1.15
+- versioneer
+- watchdog=3.0
+- websockets
+- yapf=0.40.1
+- zlib=1.2.13
+- pip:
+  - PyMuPDF==1.23.21
+  - databricks-connect
+  - milvus==2.3.5
+  - pymilvus==2.3.6
+  - pytest-kafka==0.6.0
+name: dev_cuda-121_arch-x86_64
diff --git a/conda/environments/examples_cuda-121_arch-x86_64.yaml b/conda/environments/examples_cuda-121_arch-x86_64.yaml
new file mode 100644
index 0000000000..2b663d6b1a
--- /dev/null
+++ b/conda/environments/examples_cuda-121_arch-x86_64.yaml
@@ -0,0 +1,72 @@
+# This file is generated by `rapids-dependency-file-generator`.
+# To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
+channels:
+- conda-forge
+- huggingface
+- rapidsai
+- rapidsai-nightly
+- nvidia
+- nvidia/label/dev
+- pytorch
+dependencies:
+- anyio>=3.7
+- appdirs
+- arxiv=1.4
+- boto3
+- click >=8
+- cuml=24.02.*
+- dask=2023.12.1
+- datacompy=0.10
+- dill=0.3.7
+- distributed=2023.12.1
+- elasticsearch==8.9.0
+- feedparser=6.0.10
+- grpcio-status==1.59
+- grpcio=1.59
+- huggingface_hub=0.20.2
+- jsonpatch>=1.33
+- kfp
+- libwebp=1.3.2
+- mlflow=2.9.2
+- networkx=2.8.8
+- newspaper3k=0.2
+- nodejs=18.*
+- numexpr
+- numpydoc=1.5
+- nvtabular=23.08.00
+- onnx
+- openai=1.13
+- papermill=2.4.0
+- pip
+- pydantic
+- pypdf=3.17.4
+- python-confluent-kafka>=1.9.2,<1.10.0a0
+- python-graphviz
+- python=3.10
+- pytorch-cuda
+- pytorch=*=*cuda*
+- requests
+- requests-cache=1.1
+- requests-toolbelt
+- s3fs=2023.12.2
+- scikit-learn=1.3.2
+- sentence-transformers
+- sqlalchemy
+- tqdm=4
+- transformers=4.36.2
+- typing_utils=0.1
+- watchdog=3.0
+- websockets
+- pip:
+  - --find-links https://data.dgl.ai/wheels-test/repo.html
+  - --find-links https://data.dgl.ai/wheels/cu121/repo.html
+  - PyMuPDF==1.23.21
+  - databricks-connect
+  - dgl==2.0.0
+  - dglgo
+  - google-search-results==2.4
+  - langchain==0.1.9
+  - milvus==2.3.5
+  - nemollm
+  - pymilvus==2.3.6
+name: examples_cuda-121_arch-x86_64
diff --git a/conda/environments/model-utils_cuda-121_arch-x86_64.yaml b/conda/environments/model-utils_cuda-121_arch-x86_64.yaml
new file mode 100644
index 0000000000..761f19aaa0
--- /dev/null
+++ b/conda/environments/model-utils_cuda-121_arch-x86_64.yaml
@@ -0,0 +1,23 @@
+# This file is generated by `rapids-dependency-file-generator`.
+# To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
+channels:
+- conda-forge
+- huggingface
+- rapidsai
+- rapidsai-nightly
+- nvidia
+- nvidia/label/dev
+- pytorch
+dependencies:
+- cuml=24.02.*
+- jupyterlab
+- matplotlib
+- onnx
+- pandas
+- python=3.10
+- scikit-learn=1.3.2
+- seaborn
+- seqeval=1.2.2
+- transformers=4.36.2
+- xgboost
+name: model-utils_cuda-121_arch-x86_64
diff --git a/conda/environments/runtime_cuda-121_arch-x86_64.yaml b/conda/environments/runtime_cuda-121_arch-x86_64.yaml
new file mode 100644
index 0000000000..791f58e463
--- /dev/null
+++ b/conda/environments/runtime_cuda-121_arch-x86_64.yaml
@@ -0,0 +1,43 @@
+# This file is generated by `rapids-dependency-file-generator`.
+# To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
+channels:
+- conda-forge
+- huggingface
+- rapidsai
+- rapidsai-nightly
+- nvidia
+- nvidia/label/dev
+- pytorch
+dependencies:
+- appdirs
+- click >=8
+- datacompy=0.10
+- dill=0.3.7
+- elasticsearch==8.9.0
+- feedparser=6.0.10
+- grpcio=1.59
+- mlflow=2.9.2
+- networkx=2.8.8
+- numpydoc=1.5
+- nvtabular=23.08.00
+- pip
+- pydantic
+- python-confluent-kafka>=1.9.2,<1.10.0a0
+- python-graphviz
+- python=3.10
+- pytorch-cuda
+- pytorch=*=*cuda*
+- requests
+- requests-cache=1.1
+- requests-toolbelt
+- scikit-learn=1.3.2
+- sqlalchemy
+- tqdm=4
+- typing_utils=0.1
+- watchdog=3.0
+- websockets
+- pip:
+  - databricks-connect
+  - milvus==2.3.5
+  - pymilvus==2.3.6
+name: runtime_cuda-121_arch-x86_64
diff --git a/dependencies.yaml b/dependencies.yaml
index 4cec9440ca..7f074356e2 100644
--- a/dependencies.yaml
+++ b/dependencies.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,95 +18,400 @@ files:
   all:
     output: conda
     matrix:
-      cuda: ["11.8"]
+      cuda: ["12.1"]
       arch: [x86_64]
     includes:
+      - benchmark_cpp
       - build_cpp
-      - development_cpp
-      - run_morpheus
+      - checks
+      - cudatoolkit
+      - cve-mitigation
+      - data_retrieval
+      - development
+      - doca
+      - docs
+      - example-dfp-prod
+      - example-gnn
+      - example-llm-agents
+      - example-llm-completion
+      - example-llm-rag
+      - example-llm-vdb-upload
+      - python
+      - runtime
+      - test_python_morpheus
+
+  dev:
+    output: conda
+    matrix:
+      cuda: ["12.1"]
+      arch: [x86_64]
+    includes:
+      - benchmark_cpp
+      - build_cpp
+      - checks
+      - cudatoolkit
+      - data_retrieval
+      - development
+      - doca
+      - docs
+      - python
+      - runtime
       - test_python_morpheus
+
+  build:
+    output: none
+    matrix:
+      cuda: ["12.1"]
+      arch: [x86_64]
+    includes:
+      - benchmark_cpp
+      - build_cpp
       - cudatoolkit
+      - data_retrieval
+      - development
+      - python
+      - runtime
+      - test_python_morpheus
+
+  test:
+    output: none
+    matrix:
+      cuda: ["12.1"]
+      arch: [x86_64]
+    includes:
+      - benchmark_cpp
+      - build_cpp
+      - cudatoolkit
+      - data_retrieval
+      - development
+      - example-dfp-prod
+      - example-gnn
+      - example-llm-agents
+      - example-llm-completion
+      - example-llm-rag
+      - example-llm-vdb-upload
+      - python
+      - runtime
+      - test_python_morpheus
+
+  docs:
+    output: none
+    matrix:
+      cuda: ["12.1"]
+      arch: [x86_64]
+    includes:
+      - benchmark_cpp
+      - build_cpp
+      - cudatoolkit
+      - data_retrieval
+      - docs
+      - example-dfp-prod
+      - example-gnn
+      - example-llm-agents
+      - example-llm-completion
+      - example-llm-rag
+      - example-llm-vdb-upload
+      - python
+      - runtime
+
+  runtime:
+    output: conda
+    matrix:
+      cuda: ["12.1"]
+      arch: [x86_64]
+    includes:
+      - runtime
+      - python
+
+  examples:
+    output: conda
+    matrix:
+      cuda: ["12.1"]
+      arch: [x86_64]
+    includes:
+      - cve-mitigation
+      - example-dfp-prod
+      - example-gnn
+      - example-llm-agents
+      - example-llm-completion
+      - example-llm-rag
+      - example-llm-vdb-upload
+      - python
+      - runtime
+
+  model-utils:
+    output: conda
+    matrix:
+      cuda: ["12.1"]
+      arch: [x86_64]
+    includes:
+      - model-training-tuning
+      - python
+
+  checks:
+    output: none
+    includes:
+      - checks
+      - python
 
 channels:
+  - conda-forge
+  - huggingface
   - rapidsai
-  - nvidia/label/cuda-11.8.0
-  - nvidia
   - rapidsai-nightly
+  - nvidia
   - nvidia/label/dev
   - pytorch
-  - conda-forge
 
 dependencies:
 
-  build_cpp: # should be split in to `build_python` if/when converting to use scikit-build
+  build_cpp: # should be split into `build_python` if/when converting to use scikit-build
     common:
       - output_types: [conda]
         packages:
-          - boost-cpp=1.82
+          - boost-cpp=1.84
+          - ccache
+          - cmake=3.27
           - cuda-nvcc
-          - cudf=23.06
+          - cudf=24.02
           - cxx-compiler
-          - cython=0.29.24
-          - libhwloc=2.9.2
-          - librdkafka=1.9.2
-          - ninja=1.10
-          - nlohmann_json=3.9
-          - protobuf=4.21.*
-          - pybind11-stubgen=0.10
+          - cython=3.0
+          - gcc_linux-64=11.2
+          - glog=0.6
+          - gxx_linux-64=11.2
+          - librdkafka>=1.9.2,<1.10.0a0
+          - mrc=24.03
+          - ninja=1.11
+          - nlohmann_json=3.11
+          - pkg-config=0.29 # for mrc cmake
+          - protobuf=4.24
+          - pybind11-stubgen=0.10.5
           - rapidjson=1.1.0
-          - scikit-build=0.17.1
-          - tritonclient=2.26 # Required by NvTabular, force the version, so we get protobufs compatible with 4.21
-          - ucx=1.14
-  development_cpp:
+          - scikit-build=0.17.6
+          - sysroot_linux-64=2.17
+          - tritonclient=2.34
+          - ucx=1.15
+          - zlib=1.2.13
+
+  checks:
+    common:
+      - output_types: [conda]
+        packages:
+          - pre-commit
+
+  data_retrieval:
     common:
       - output_types: [conda]
         packages:
-          - clangdev=14
-          - include-what-you-use=0.18
+          - git-lfs
+
+  development:
+    common:
+      - output_types: [conda]
+        packages:
+          - clangdev=16
+          - flake8
+          - include-what-you-use=0.20
           - isort
+          - pylint=3.0.3
+          - versioneer
           - yapf=0.40.1
-  run_morpheus:
+
+  docs:
+    common:
+      - output_types: [conda]
+        packages:
+          - &click click >=8
+          - &numpydoc numpydoc=1.5
+          - breathe=4.35.0
+          - doxygen=1.9.2
+          - exhale=0.3.6
+          - ipython
+          - myst-parser=0.18.1
+          - nbsphinx
+          - pluggy=1.3
+          - python-graphviz
+          - sphinx
+          - sphinx_rtd_theme
+
+  benchmark_cpp:
+    common:
+      - output_types: [conda]
+        packages:
+          - benchmark=1.8.3
+
+  runtime:
     common:
       - output_types: [conda]
         packages:
+          - *click
+          - *numpydoc
+          - &dill dill=0.3.7
+          - &scikit-learn scikit-learn=1.3.2
           - appdirs
-          - click>=8
-          - datacompy=0.8
-          - dill
-          - gputil
-          - grpcio
-          - mlflow>=2.2.1,<3
-          - numpydoc=1.4
-          - nvtabular=23.06
-          - python-confluent-kafka=1.9.2
+          - datacompy=0.10
+          - elasticsearch==8.9.0
+          - feedparser=6.0.10
+          - grpcio=1.59
+          - mlflow=2.9.2
+          - networkx=2.8.8
+          - nvtabular=23.08.00
+          - pydantic
+          - python-confluent-kafka>=1.9.2,<1.10.0a0
           - python-graphviz
           - pytorch-cuda
-          - pytorch=2.0.1
-          - scikit-learn=1.2.2
-          - sqlalchemy<2.0 # 2.0 is incompatible with pandas=1.3
+          - pytorch=*=*cuda*
+          - requests
+          - requests-cache=1.1
+          - requests-toolbelt # Transitive dep needed by nemollm, specified here to ensure we get a compatible version
+          - sqlalchemy
           - tqdm=4
           - typing_utils=0.1
-          - watchdog=2.1
+          - watchdog=3.0
+          - websockets
+          - pip
+          - pip:
+            - databricks-connect
+            - milvus==2.3.5 # update to match pymilvus when available
+            - pymilvus==2.3.6
+
   test_python_morpheus:
     common:
       - output_types: [conda]
         packages:
-          - pip
-          - pytest
-          - pytest-benchmark>=4.0
+          - &nodejs nodejs=18.*
+          - pytest-asyncio
+          - pytest-benchmark=4.0
           - pytest-cov
+          - pytest=7.4.4
+          - python-docx==1.1.0
+          - pip
           - pip:
+              - PyMuPDF==1.23.21
               - pytest-kafka==0.6.0
 
+  example-dfp-prod:
+    common:
+      - output_types: [conda]
+        packages:
+          - *dill
+          - *nodejs
+          - boto3
+          - dask=2023.12.1
+          - distributed=2023.12.1
+          - kfp
+          - mlflow=2.9.2
+          - papermill=2.4.0
+          - s3fs=2023.12.2
+
+  example-gnn:
+    common:
+      - output_types: [conda]
+        packages:
+          - &cuml cuml=24.02.*
+          - pip
+          - pip:
+            - --find-links https://data.dgl.ai/wheels/cu121/repo.html
+            - --find-links https://data.dgl.ai/wheels-test/repo.html
+            - dgl==2.0.0
+            - dglgo
+
+  example-llm-agents:
+    common:
+      - output_types: [conda]
+        packages:
+          - &grpcio-status grpcio-status==1.59
+          - &transformers transformers=4.36.2 # newer versions are incompatible with our pinned version of huggingface_hub
+          - huggingface_hub=0.20.2 # work-around for https://github.com/UKPLab/sentence-transformers/issues/1762
+          - numexpr
+          - sentence-transformers
+          - pip
+          - pip:
+            - &langchain langchain==0.1.9
+            - nemollm
+
+  example-llm-completion:
+    common:
+      - output_types: [conda]
+        packages:
+          - *grpcio-status
+          - &arxiv arxiv=1.4
+          - &newspaper3k newspaper3k=0.2
+          - &pypdf pypdf=3.17.4
+
+  example-llm-rag:
+    common:
+      - output_types: [conda]
+        packages:
+          - *grpcio-status
+          - anyio>=3.7
+          - jsonpatch>=1.33
+          - openai=1.13
+          - pip
+          - pip:
+            - *langchain
+            - google-search-results==2.4
+
+  example-llm-vdb-upload:
+    common:
+      - output_types: [conda]
+        packages:
+          - *arxiv
+          - *grpcio-status
+          - *newspaper3k
+          - *pypdf
+          - onnx
+          - pip
+          - pip:
+              - PyMuPDF==1.23.21
+              - *langchain
+
+  model-training-tuning:
+    common:
+      - output_types: [conda]
+        packages:
+          - *cuml
+          - *scikit-learn
+          - *transformers
+          - jupyterlab
+          - matplotlib
+          - onnx
+          - pandas
+          - seaborn
+          - seqeval=1.2.2
+          - xgboost
+
+  cve-mitigation:
+    common:
+      - output_types: [conda]
+        packages:
+          - libwebp=1.3.2 # Required for CVE mitigation: https://nvd.nist.gov/vuln/detail/CVE-2023-4863
+
+
+  doca:
+    common:
+      - output_types: [conda]
+        packages:
+          - automake
+          - libtool
+          - rdma-core>=48
+
+  python:
+    common:
+      - output_types: [conda]
+        packages:
+          - python=3.10
+
   cudatoolkit:
     specific:
       - output_types: [conda]
         matrices:
           - matrix:
-              cuda: "11.8"
+              cuda: "12.1"
             packages:
-              - cuda-cudart-dev=11.8
-              - cuda-nvml-dev=11.8
-              - cuda-nvrtc-dev=11.8
-              - cuda-tools=11.8
-              - cuda-version=11.8
+              - cuda-cudart-dev=12.1
+              - cuda-nvml-dev=12.1
+              - cuda-nvrtc-dev=12.1
+              - cuda-nvtx-dev=12.1
+              - cuda-tools=12.1
+              - cuda-version=12.1
diff --git a/docker/Dockerfile b/docker/Dockerfile
index 4c89accc20..492e4becae 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -1,6 +1,6 @@
 # syntax=docker/dockerfile:1.3
 
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -39,9 +39,9 @@
 
 # Args used in FROM commands must come first
 ARG FROM_IMAGE="nvidia/cuda"
-ARG CUDA_MAJOR_VER=11
-ARG CUDA_MINOR_VER=8
-ARG CUDA_REV_VER=0
+ARG CUDA_MAJOR_VER=12
+ARG CUDA_MINOR_VER=1
+ARG CUDA_REV_VER=1
 ARG LINUX_DISTRO=ubuntu
 ARG LINUX_VER=22.04
 
@@ -112,9 +112,7 @@ RUN --mount=type=cache,id=conda_pkgs,target=/opt/conda/pkgs,sharing=locked \
     conda config --set ssl_verify false &&\
     conda config --add pkgs_dirs /opt/conda/pkgs &&\
     # Install mamba, boa and git here. Conda build breaks with other git installs
-    /opt/conda/bin/mamba install -y -n base -c conda-forge "boa" "git >=2.35.3" "python=${PYTHON_VER}" "tini=0.19" &&\
-    source activate base
-    # conda clean -afy
+    /opt/conda/bin/mamba install -y -n base -c conda-forge "boa" "git >=2.35.3" "python=${PYTHON_VER}" "tini=0.19"
 
 # ============ Stage: conda_env ============
 # Create the conda environment and install all dependencies
@@ -127,8 +125,7 @@ RUN --mount=type=cache,id=conda_pkgs,target=/opt/conda/pkgs,sharing=locked \
     # Create the environment and install as little dependencies as possible
     CONDA_ALWAYS_YES=true /opt/conda/bin/mamba create -n morpheus -c conda-forge  \
       python=${PYTHON_VER} && \
-    # Clean and activate
-    # conda clean -afy && \
+    # Activate the environment automatically from .bashrc
     conda init bash && \
     echo "conda activate morpheus" >> ~/.bashrc
 
@@ -152,12 +149,6 @@ FROM conda_env as base_extended
 # Add one or more optional dependencies to the base environment
 ARG MORPHEUS_ROOT_HOST
 ARG MORPHEUS_SUPPORT_DOCA="FALSE"
-ARG DOCA_ARTIFACTS_HOST
-ARG DOCA_REPO_HOST
-ARG DOCA_BUILD_ID=7930666
-ARG DOCA_VERSION=2.2.0002-1
-ARG DPDK_VERSION=22.11.0-1.4.1
-
 # Set this environment variable so it auto builds DOCA
 ENV MORPHEUS_SUPPORT_DOCA=${MORPHEUS_SUPPORT_DOCA}
 
@@ -179,17 +170,15 @@ ARG CUDA_MINOR_VER
 ARG CONDA_CHANNEL_ALIAS
 
 # Copy the development dependencies file
-COPY ${MORPHEUS_ROOT_HOST}/docker/conda/environments/cuda${CUDA_MAJOR_VER}.${CUDA_MINOR_VER}_dev.yml ./docker/conda/environments/
+COPY ${MORPHEUS_ROOT_HOST}/conda/environments/dev_cuda-${CUDA_MAJOR_VER}${CUDA_MINOR_VER}_arch-x86_64.yaml ./conda/environments/dev.yaml
 
 # Update the morpheus environment
 RUN --mount=type=cache,id=conda_pkgs,target=/opt/conda/pkgs,sharing=locked \
     # Temp add channel_alias to get around conda 404 errors
     conda config --env --set channel_alias ${CONDA_CHANNEL_ALIAS} &&\
-    /opt/conda/bin/mamba env update -n morpheus --file docker/conda/environments/cuda${CUDA_MAJOR_VER}.${CUDA_MINOR_VER}_dev.yml &&\
+    /opt/conda/bin/conda env update --solver=libmamba -n morpheus --file conda/environments/dev.yaml &&\
     # Remove channel_alias to use the normal channel in the container
-    conda config --env --remove-key channel_alias &&\
-    # Clean and activate
-    conda clean -afy
+    conda config --env --remove-key channel_alias
 
 # ============ Stage: conda_bld_morpheus ============
 # Now build the morpheus conda package
@@ -237,7 +226,15 @@ ARG MORPHEUS_ROOT_HOST
 ARG CUDA_MAJOR_VER
 ARG CUDA_MINOR_VER
 
-COPY ${MORPHEUS_ROOT_HOST}/docker/conda/environments/cuda${CUDA_MAJOR_VER}.${CUDA_MINOR_VER}_runtime.yml ./docker/conda/environments/
+# Only copy specific files/folders over that are necessary for runtime
+COPY "${MORPHEUS_ROOT_HOST}/conda/environments/*.yaml" "./conda/environments/"
+COPY "${MORPHEUS_ROOT_HOST}/docker" "./docker"
+COPY "${MORPHEUS_ROOT_HOST}/docs" "./docs"
+COPY "${MORPHEUS_ROOT_HOST}/examples" "./examples"
+COPY "${MORPHEUS_ROOT_HOST}/models" "./models"
+COPY "${MORPHEUS_ROOT_HOST}/scripts" "./scripts"
+COPY "${MORPHEUS_ROOT_HOST}/*.md" "./"
+COPY "${MORPHEUS_ROOT_HOST}/LICENSE" "./"
 
 # Mount Morpheus conda package build in `conda_bld_morpheus`
 RUN --mount=type=bind,from=conda_bld_morpheus,source=/opt/conda/conda-bld,target=/opt/conda/conda-bld \
@@ -249,21 +246,18 @@ RUN --mount=type=bind,from=conda_bld_morpheus,source=/opt/conda/conda-bld,target
     # Install morpheus
     CONDA_ALWAYS_YES=true /opt/conda/bin/mamba install -n morpheus \
         -c local \
+        -c conda-forge \
+        -c huggingface \
         -c rapidsai \
-        -c nvidia/label/cuda-11.8.0 \
-        -c nvidia/label/dev \
+        -c rapidsai-nightly \
         -c nvidia \
+        -c nvidia/label/dev \
         -c pytorch \
-        -c conda-forge morpheus &&\
-    /opt/conda/bin/mamba env update -n morpheus --file docker/conda/environments/cuda${CUDA_MAJOR_VER}.${CUDA_MINOR_VER}_runtime.yml
+        -c defaults \
+        morpheus &&\
 
-# Only copy specific files/folders over that are necessary for runtime
-COPY "${MORPHEUS_ROOT_HOST}/docker" "./docker"
-COPY "${MORPHEUS_ROOT_HOST}/docs" "./docs"
-COPY "${MORPHEUS_ROOT_HOST}/examples" "./examples"
-COPY "${MORPHEUS_ROOT_HOST}/models" "./models"
-COPY "${MORPHEUS_ROOT_HOST}/scripts" "./scripts"
-COPY ["${MORPHEUS_ROOT_HOST}/*.md", "${MORPHEUS_ROOT_HOST}/LICENSE", "./"]
+    /opt/conda/bin/conda env update --solver=libmamba -n morpheus --file conda/environments/runtime_cuda-${CUDA_MAJOR_VER}${CUDA_MINOR_VER}_arch-x86_64.yaml && \
+    conda clean -afy
 
 # Use morpheus by default
 CMD [ "morpheus" ]
@@ -290,10 +284,10 @@ RUN --mount=type=cache,id=apt,target=/var/cache/apt \
     rm -rf /var/lib/apt/lists/*
 
 # Install camouflage needed for unittests to mock a triton server
-# Pin to v0.9 until #967 is resolved
 RUN source activate morpheus && \
     npm install -g camouflage-server@0.15 && \
-    npm cache clean --force
+    npm cache clean --force && \
+    conda clean -afy
 
 # Setup git to allow other users to access /workspace. Requires git 2.35.3 or
 # greater. See https://marc.info/?l=git&m=164989570902912&w=2. Only enable for
diff --git a/docker/build_conda_packages.sh b/docker/build_conda_packages.sh
index 19a040575d..43e0b1bbba 100755
--- a/docker/build_conda_packages.sh
+++ b/docker/build_conda_packages.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -36,6 +36,7 @@ CUR_GID=$(id -g ${LOGNAME})
 MORPHEUS_ROOT=${MORPHEUS_ROOT:-$(git rev-parse --show-toplevel)}
 mkdir -p ${MORPHEUS_ROOT}/.cache/ccache
 mkdir -p ${MORPHEUS_ROOT}/.cache/cpm
+mkdir -p ${MORPHEUS_ROOT}/.conda-bld
 
 echo "Building container"
 # Call the build script to get a container ready to build conda packages
diff --git a/docker/build_container.sh b/docker/build_container.sh
index 10745c654d..36c2f7084d 100755
--- a/docker/build_container.sh
+++ b/docker/build_container.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -28,18 +28,14 @@ DOCKER_TARGET=${DOCKER_TARGET:-"runtime"}
 DOCKER_EXTRA_ARGS=${DOCKER_EXTRA_ARGS:-""}
 
 # Build args
-CUDA_MAJOR_VER=${CUDA_MAJOR_VER:-11}
-CUDA_MINOR_VER=${CUDA_MINOR_VER:-8}
-CUDA_REV_VER=${CUDA_REV_VER:-0}
-DOCA_ARTIFACTS_HOST=${DOCA_ARTIFACTS_HOST:-""}
-DOCA_REPO_HOST=${DOCA_REPO_HOST:-""}
+CUDA_MAJOR_VER=${CUDA_MAJOR_VER:-12}
+CUDA_MINOR_VER=${CUDA_MINOR_VER:-1}
+CUDA_REV_VER=${CUDA_REV_VER:-1}
 FROM_IMAGE=${FROM_IMAGE:-"nvidia/cuda"}
 LINUX_DISTRO=${LINUX_DISTRO:-ubuntu}
 LINUX_VER=${LINUX_VER:-22.04}
 MORPHEUS_SUPPORT_DOCA=${MORPHEUS_SUPPORT_DOCA:-"OFF"}
 PYTHON_VER=${PYTHON_VER:-3.10}
-RAPIDS_VER=${RAPIDS_VER:-23.06}
-TENSORRT_VERSION=${TENSORRT_VERSION:-8.2.1.3}
 
 # Determine the relative path from $PWD to $MORPHEUS_ROOT
 MORPHEUS_ROOT_HOST=${MORPHEUS_ROOT_HOST:-"$(realpath --relative-to=${PWD} ${MORPHEUS_ROOT})"}
@@ -50,16 +46,12 @@ DOCKER_ARGS="${DOCKER_ARGS} --target ${DOCKER_TARGET}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg CUDA_MAJOR_VER=${CUDA_MAJOR_VER}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg CUDA_MINOR_VER=${CUDA_MINOR_VER}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg CUDA_REV_VER=${CUDA_REV_VER}"
-DOCKER_ARGS="${DOCKER_ARGS} --build-arg DOCA_ARTIFACTS_HOST=${DOCA_ARTIFACTS_HOST}"
-DOCKER_ARGS="${DOCKER_ARGS} --build-arg DOCA_REPO_HOST=${DOCA_REPO_HOST}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg FROM_IMAGE=${FROM_IMAGE}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg LINUX_DISTRO=${LINUX_DISTRO}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg LINUX_VER=${LINUX_VER}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg MORPHEUS_ROOT_HOST=${MORPHEUS_ROOT_HOST}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg MORPHEUS_SUPPORT_DOCA=${MORPHEUS_SUPPORT_DOCA}"
 DOCKER_ARGS="${DOCKER_ARGS} --build-arg PYTHON_VER=${PYTHON_VER}"
-DOCKER_ARGS="${DOCKER_ARGS} --build-arg RAPIDS_VER=${RAPIDS_VER}"
-DOCKER_ARGS="${DOCKER_ARGS} --build-arg TENSORRT_VERSION=${TENSORRT_VERSION}"
 DOCKER_ARGS="${DOCKER_ARGS} --network=host"
 
 # Last add any extra args (duplicates override earlier ones)
@@ -72,19 +64,15 @@ echo "Building morpheus:${DOCKER_TAG} with args..."
 echo "   CUDA_MAJOR_VER       : ${CUDA_MAJOR_VER}"
 echo "   CUDA_MINOR_VER       : ${CUDA_MINOR_VER}"
 echo "   CUDA_REV_VER         : ${CUDA_REV_VER}"
-echo "   DOCA_ARTIFACTS_HOST  : ${DOCA_ARTIFACTS_HOST}"
-echo "   DOCA_REPO_HOST       : ${DOCA_REPO_HOST}"
 echo "   FROM_IMAGE           : ${FROM_IMAGE}"
 echo "   LINUX_DISTRO         : ${LINUX_DISTRO}"
 echo "   LINUX_VER            : ${LINUX_VER}"
 echo "   MORPHEUS_ROOT_HOST   : ${MORPHEUS_ROOT_HOST}"
 echo "   MORPHEUS_SUPPORT_DOCA: ${MORPHEUS_SUPPORT_DOCA}"
 echo "   PYTHON_VER           : ${PYTHON_VER}"
-echo "   RAPIDS_VER           : ${RAPIDS_VER}"
-echo "   TENSORRT_VERSION     : ${TENSORRT_VERSION}"
 
 echo ""
-echo "   COMMAND: docker build ${DOCKER_ARGS} -f docker/Dockerfile ."
+echo "   COMMAND: docker build ${DOCKER_ARGS} -f ${SCRIPT_DIR}/Dockerfile ."
 echo "   Note: add '--progress plain' to DOCKER_EXTRA_ARGS to show all container build output"
 
 docker build ${DOCKER_ARGS} -f ${SCRIPT_DIR}/Dockerfile .
diff --git a/docker/build_container_dev.sh b/docker/build_container_dev.sh
index d2d7d27595..8a5da03968 100755
--- a/docker/build_container_dev.sh
+++ b/docker/build_container_dev.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docker/build_container_release.sh b/docker/build_container_release.sh
index 0214b9f785..ee4028a89a 100755
--- a/docker/build_container_release.sh
+++ b/docker/build_container_release.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docker/conda/environments/cuda11.8_dev.yml b/docker/conda/environments/cuda11.8_dev.yml
deleted file mode 100644
index 06dee096c3..0000000000
--- a/docker/conda/environments/cuda11.8_dev.yml
+++ /dev/null
@@ -1,129 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-name: morpheus
-channels:
-    - rapidsai
-    - nvidia/label/cuda-11.8.0
-    - nvidia
-    - nvidia/label/dev # For pre-releases of MRC. Should still default to full releases if available
-    - pytorch
-    - conda-forge
-    - defaults
-dependencies:
-    ####### Morpheus Dependencies (keep sorted!) #######
-    - automake=1.16.5
-    - beautifulsoup4=4.12
-    - benchmark=1.6.1
-    - boost-cpp=1.82
-    - cachetools=5.0.0
-    - ccache>=3.7
-    - clangdev=16
-    - click >=8
-    - cmake=3.25
-    - configargparse=1.5
-    - cuda-compiler=11.8
-    - cuda-nvml-dev=11.8
-    - cuda-python>=11.8,<11.8.3 # workaround for https://github.com/nv-morpheus/Morpheus/issues/1317
-    - cuda-toolkit=11.8
-    - cudf=23.06
-    - cupy>=12.0.0
-    - cxx-compiler
-    - cython=0.29.24
-    - datacompy=0.8
-    - dill
-    - docker-py=5.0
-    - docutils
-    - elasticsearch==8.9.0
-    - faker=12.3.0
-    - feedparser=6.0.10
-    - flake8
-    - flatbuffers=2.0
-    - gcc_linux-64=11.2
-    - gflags=2.2
-    - git-lfs=3.2
-    - git>=2.35.3 # Needed for wildcards on safe.directory
-    - glog=0.6
-    - gmock>=1.13.0
-    - gputil
-    - grpcio
-    - gtest>=1.13.0
-    - gxx_linux-64=11.2
-    - include-what-you-use=0.20
-    - ipywidgets
-    - isort
-    - jupyter_core>=4.11.2,<5.0
-    - jupyterlab
-    - libgrpc>=1.49
-    - librdkafka=1.9.2
-    - libwebp>=1.3.2 # Required for CVE mitigation: https://nvd.nist.gov/vuln/detail/CVE-2023-4863
-    - mlflow>=2.2.1,<3
-    - mrc=23.11
-    - networkx>=2.8
-    - ninja=1.10
-    - nodejs=18.*
-    - numba>=0.56.2
-    - numpydoc=1.4
-    - nvtabular=23.06
-    - pandas=1.3
-    - pip
-    - pkg-config # for mrc cmake
-    - pluggy=1.0
-    - protobuf=4.21.*
-    - pyarrow * *_cuda # Ensure we get a CUDA build. Version determined by cuDF
-    - pybind11-stubgen=0.10.5
-    - pydot
-    - pylint>=2.17.4,<2.18 # 2.17.4 contains a fix for toml support
-    - pytest
-    - pytest-asyncio
-    - pytest-benchmark>=4.0
-    - pytest-cov
-    - python-confluent-kafka=1.9.2
-    - python-graphviz
-    - python=3.10
-    - pytorch-cuda
-    - pytorch=2.0.1
-    - rapidjson=1.1.0
-    - rdma-core >=48 # Needed for DOCA. Compatible with UCX 1.14.1
-    - requests-cache=1.1
-    - requests=2.31
-    - scikit-build=0.17.1
-    - scikit-learn=1.2.2
-    - sphinx
-    - sphinx_rtd_theme
-    - sqlalchemy<2.0 # 2.0 is incompatible with pandas=1.3
-    - sysroot_linux-64=2.17
-    - tqdm=4
-    - tritonclient=2.26 # Required by NvTabular, force the version, so we get protobufs compatible with 4.21
-    - typing_utils=0.1
-    - watchdog=2.1
-    - websockets
-    - yapf=0.40.1
-
-    ####### Pip Transitive Dependencies (keep sorted!) #######
-    # These are dependencies that are available on conda, but are required by the pip packages listed below. Its much
-    # better to install them with conda than pip to allow for better dependency resolution.
-    - kafka-python=2.0
-    - port-for=0.7
-    - py4j=0.10
-
-    ####### Morpheus Pip Dependencies (keep sorted!) #######
-    - pip:
-        # Add additional dev dependencies here
-        - databricks-connect
-        - milvus==2.3.2
-        - pyarrow_hotfix # CVE-2023-47248. See morpheus/__init__.py for more details
-        - pymilvus==2.3.2
-        - pytest-kafka==0.6.0
diff --git a/docker/conda/environments/cuda11.8_examples.yml b/docker/conda/environments/cuda11.8_examples.yml
deleted file mode 100644
index 1d49130bcc..0000000000
--- a/docker/conda/environments/cuda11.8_examples.yml
+++ /dev/null
@@ -1,64 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Additional dependencies needed by a some of the Morpheus examples.
-# The intended usage is to first create the conda environment from the `cuda11.8_dev.yml` file, and then update the
-# env with this file. ex:
-#   mamba install -n base -c conda-forge conda-merge
-#   conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml \
-#     docker/conda/environments/cuda${CUDA_VER}_examples.yml  > .tmp/merged.yml \
-#     && mamba env update -n morpheus --file ./merged.yml
-channels:
-    - rapidsai
-    - nvidia
-    - huggingface
-    - conda-forge
-    - dglteam/label/cu118
-    - defaults
-dependencies:
-    - arxiv=1.4
-    - boto3
-    - cuml=23.06
-    - dask>=2023.1.1
-    - dgl=1.0.2
-    - dill=0.3.6
-    - distributed>=2023.1.1
-    - huggingface_hub=0.10.1 # work-around for https://github.com/UKPLab/sentence-transformers/issues/1762
-    - langchain=0.0.190
-    - libwebp>=1.3.2 # Required for CVE mitigation: https://nvd.nist.gov/vuln/detail/CVE-2023-4863
-    - mlflow>=2.2.1,<3
-    - newspaper3k=0.2
-    - openai=0.28
-    - papermill=2.3.4
-    - pypdf=3.16
-    - requests-cache=1.1
-    - s3fs>=2023.6
-    - sentence-transformers
-    - transformers
-
-    ####### Pip Transitive Dependencies (keep sorted!) #######
-    # These are dependencies that are available on conda, but are required by the pip packages listed below. Its much
-    # better to install them with conda than pip to allow for better dependency resolution.
-    - environs=9.5
-    - minio=7.1
-    - python-dotenv=1.0
-    - ujson=5.8
-
-
-  ####### Pip Dependencies (keep sorted!) #######
-    - pip:
-        - google-search-results==2.4
-        - grpcio-status==1.58 # To keep in sync with 1.58 grpcio which is installed for Morpheus
-        - nemollm
diff --git a/docker/entrypoint.sh b/docker/entrypoint.sh
index 1c29eac51d..b3c06dcaae 100755
--- a/docker/entrypoint.sh
+++ b/docker/entrypoint.sh
@@ -1,5 +1,5 @@
 #!/bin/bash --login
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 # 
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docker/optional_deps/doca.sh b/docker/optional_deps/doca.sh
index a7e93b0526..97d1d108f3 100755
--- a/docker/optional_deps/doca.sh
+++ b/docker/optional_deps/doca.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,19 +17,15 @@
 set -e
 
 MORPHEUS_SUPPORT_DOCA=${MORPHEUS_SUPPORT_DOCA:-OFF}
+LINUX_DISTRO=${LINUX_DISTRO:-ubuntu}
+LINUX_VER=${LINUX_VER:-22.04}
+DOCA_VERSION=${DOCA_VERSION:-2.6.0}
 
 # Exit early if nothing to do
 if [[ ${MORPHEUS_SUPPORT_DOCA} != @(TRUE|ON) ]]; then
    exit 0
 fi
 
-DOCA_REPO_HOST=${DOCA_REPO_HOST:?"Must set \$DOCA_REPO_HOST to build DOCA."}
-DOCA_ARTIFACTS_HOST=${DOCA_ARTIFACTS_HOST:?"Must set \$DOCA_ARTIFACTS_HOST to build DOCA."}
-
-DOCA_BUILD_ID=${DOCA_BUILD_ID:-7930666}
-DOCA_VERSION=${DOCA_VERSION:-2.2.0002-1}
-DPDK_VERSION=${DPDK_VERSION:-22.11.0-1.4.1}
-
 WORKING_DIR=$1
 
 echo "Installing DOCA using directory: ${WORKING_DIR}"
@@ -38,31 +34,64 @@ DEB_DIR=${WORKING_DIR}/deb
 
 mkdir -p ${DEB_DIR}
 
-# Download all files with -nc to skip download if its already there
-wget -nc -P ${DEB_DIR} https://${DOCA_REPO_HOST}/doca-repo-2.2.0/doca-repo-2.2.0-0.0.1-230405-143032-daily/doca-host-repo-ubuntu2204_2.2.0-0.0.1-230405-143032-daily.2.0.2004.2devflexio.23.04.0.2.3.0_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-apps-dev_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-apps_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-grpc-dev_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-grpc_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-libs_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-prime-runtime_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-prime-sdk_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-prime-tools_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-samples_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/doca-services_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/libdoca-libs-dev_${DOCA_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/mlnx-dpdk-dev_${DPDK_VERSION}_amd64.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/mlnx-dpdk-doc_${DPDK_VERSION}_all.deb
-wget -nc -P ${DEB_DIR} https://${DOCA_ARTIFACTS_HOST}/doca-gpunet/${DOCA_BUILD_ID}/doca-gpu-mlnx-dpdk/mlnx-dpdk_${DPDK_VERSION}_amd64.deb
-
-# Install the doca host repo
-dpkg -i ${DEB_DIR}/doca-host-repo*.deb
-
-# Install all other packages
-apt-get update
-# apt-get install -y libjson-c-dev meson cmake pkg-config
-apt-get install -y ${DEB_DIR}/mlnx-dpdk*.deb
-apt-get install -y ${DEB_DIR}/*doca*.deb
+DOCA_REPO_LINK="https://linux.mellanox.com/public/repo/doca/${DOCA_VERSION}"
+DOCA_REPO="${DOCA_REPO_LINK}/ubuntu22.04"
+DOCA_REPO_ARCH="x86_64"
+DOCA_UPSTREAM_REPO="${DOCA_REPO}/${DOCA_REPO_ARCH}"
+
+# Upgrade the base packages (diff between image and Canonical upstream repo)
+apt update -y
+apt upgrade -y
+
+# Cleanup apt
+rm -rf /var/lib/apt/lists/*
+apt autoremove -y
+
+# Configure DOCA Repository, and install packages
+apt update -y
+
+# Install wget & Add the DOCA public repository
+apt install -y --no-install-recommends wget software-properties-common gpg-agent
+wget -qO - ${DOCA_UPSTREAM_REPO}/GPG-KEY-Mellanox.pub | apt-key add -
+add-apt-repository "deb [trusted=yes] ${DOCA_UPSTREAM_REPO} ./"
+apt update -y
+
+# Install base-rt content
+apt install -y --no-install-recommends \
+    doca-gpu \
+    doca-gpu-dev \
+    doca-prime-runtime \
+    doca-prime-sdk \
+    doca-sdk \
+    dpcp \
+    flexio \
+    ibacm \
+    ibverbs-utils \
+    librdmacm1 \
+    libibnetdisc5 \
+    libibumad3 \
+    libibmad5 \
+    libopensm \
+    libopenvswitch \
+    libyara8 \
+    mlnx-tools \
+    ofed-scripts \
+    openmpi \
+    openvswitch-common \
+    openvswitch-switch \
+    srptools \
+    mlnx-ethtool \
+    mlnx-iproute2 \
+    python3-pyverbs \
+    rdma-core \
+    ucx \
+    yara
+
+    # Cleanup apt
+rm -rf /usr/lib/python3/dist-packages
+apt remove -y software-properties-common gpg-agent
+rm -rf /var/lib/apt/lists/*
+apt autoremove -y
 
 # Now install the gdrcopy library according to: https://github.com/NVIDIA/gdrcopy
 GDRCOPY_DIR=${WORKING_DIR}/gdrcopy
@@ -71,7 +100,7 @@ if [[ ! -d "${GDRCOPY_DIR}" ]] ; then
     git clone https://github.com/NVIDIA/gdrcopy.git ${GDRCOPY_DIR}
     cd ${GDRCOPY_DIR}
 else
-    cd cd ${GDRCOPY_DIR}
+    cd ${GDRCOPY_DIR}
     git pull https://github.com/NVIDIA/gdrcopy.git
 fi
 
diff --git a/docker/run_container_dev.sh b/docker/run_container_dev.sh
index 6db2e12bcd..e440763988 100755
--- a/docker/run_container_dev.sh
+++ b/docker/run_container_dev.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docker/run_container_release.sh b/docker/run_container_release.sh
index cba0fdb5d3..7a60d75faf 100755
--- a/docker/run_container_release.sh
+++ b/docker/run_container_release.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -27,8 +27,12 @@ x="\033[0m"
 # Change to the script file to ensure we are in the correct repo (in case were in a submodule)
 pushd ${SCRIPT_DIR} &> /dev/null
 
+MORPHEUS_SUPPORT_DOCA=${MORPHEUS_SUPPORT_DOCA:-OFF}
+
 DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME:-"nvcr.io/nvidia/morpheus/morpheus"}
 DOCKER_IMAGE_TAG=${DOCKER_IMAGE_TAG:-"$(git describe --tags --abbrev=0)-runtime"}
+
+# This variable is used for passing extra arguments to the docker run command. Do not use DOCKER_ARGS for this purpose.
 DOCKER_EXTRA_ARGS=${DOCKER_EXTRA_ARGS:-""}
 
 popd &> /dev/null
@@ -40,6 +44,18 @@ if [[ -n "${SSH_AUTH_SOCK}" ]]; then
    DOCKER_ARGS="${DOCKER_ARGS} -v $(readlink -f $SSH_AUTH_SOCK):/ssh-agent:ro -e SSH_AUTH_SOCK=/ssh-agent"
 fi
 
+# DPDK requires hugepage and privileged container
+DOCA_EXTRA_ARGS=""
+if [[ ${MORPHEUS_SUPPORT_DOCA} == @(TRUE|ON) ]]; then
+   echo -e "${b}Enabling DOCA Support. Mounting /dev/hugepages and running in privileged mode${x}"
+
+   DOCKER_ARGS="${DOCKER_ARGS} -v /dev/hugepages:/dev/hugepages --privileged"
+fi
+
+
 echo -e "${g}Launching ${DOCKER_IMAGE_NAME}:${DOCKER_IMAGE_TAG}...${x}"
 
-docker run --rm -ti ${DOCKER_ARGS} ${DOCKER_IMAGE_NAME}:${DOCKER_IMAGE_TAG} "${@:-bash}"
+# Enable command logging to show what is being executed
+set -x
+docker run ${DOCA_EXTRA_ARGS} --rm -ti ${DOCKER_ARGS} ${DOCKER_IMAGE_NAME}:${DOCKER_IMAGE_TAG} "${@:-bash}"
+set +x
diff --git a/docs/CMakeLists.txt b/docs/CMakeLists.txt
index 1da9196070..d103e03115 100644
--- a/docs/CMakeLists.txt
+++ b/docs/CMakeLists.txt
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/README.md b/docs/README.md
index 77fd468bee..28d0d2d0b4 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -1,5 +1,5 @@
 <!--
- SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  SPDX-License-Identifier: Apache-2.0
 
  Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,11 +22,7 @@ Additional packages required for building the documentation are defined in `./co
 ## Install Additional Dependencies
 From the root of the Morpheus repo:
 ```bash
-export CUDA_VER=11.8
-mamba install -n base -c conda-forge conda-merge
-conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml \
-  docs/conda_docs.yml > .tmp/merged.yml \
-  && mamba env update -n ${CONDA_DEFAULT_ENV} --file .tmp/merged.yml
+conda env update --solver=libmamba -n morpheus --file conda/environments/dev_cuda-121_arch-x86_64.yaml --prune
 ```
 
 ## Build Morpheus and Documentation
diff --git a/docs/source/basics/building_a_pipeline.md b/docs/source/basics/building_a_pipeline.md
index adcf87b2f7..395cc12f24 100644
--- a/docs/source/basics/building_a_pipeline.md
+++ b/docs/source/basics/building_a_pipeline.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/basics/overview.rst b/docs/source/basics/overview.rst
index c92688974d..f8d8b10c7a 100644
--- a/docs/source/basics/overview.rst
+++ b/docs/source/basics/overview.rst
@@ -1,5 +1,5 @@
 ..
-   SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+   SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
    SPDX-License-Identifier: Apache-2.0
 
    Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/cloud_deployment_guide.md b/docs/source/cloud_deployment_guide.md
index f14b133e50..ae64ff5bcb 100644
--- a/docs/source/cloud_deployment_guide.md
+++ b/docs/source/cloud_deployment_guide.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -104,7 +104,7 @@ The Helm chart (`morpheus-ai-engine`) that offers the auxiliary components requi
 Follow the below steps to install Morpheus AI Engine:
 
 ```bash
-helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-ai-engine-23.11.tgz --username='$oauthtoken' --password=$API_KEY --untar
+helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-ai-engine-24.03.tgz --username='$oauthtoken' --password=$API_KEY --untar
 ```
 ```bash
 helm install --set ngc.apiKey="$API_KEY" \
@@ -146,7 +146,7 @@ replicaset.apps/zookeeper-87f9f4dd     1         1         1       54s
 Run the following command to pull the Morpheus SDK Client (referred to as Helm chart `morpheus-sdk-client`) on to your instance:
 
 ```bash
-helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-sdk-client-23.11.tgz --username='$oauthtoken' --password=$API_KEY --untar
+helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-sdk-client-24.03.tgz --username='$oauthtoken' --password=$API_KEY --untar
 ```
 
 #### Morpheus SDK Client in Sleep Mode
@@ -184,7 +184,7 @@ kubectl -n $NAMESPACE exec sdk-cli-helper -- cp -RL /workspace/models /common
 The Morpheus MLflow Helm chart offers MLflow server with Triton plugin to deploy, update, and remove models from the Morpheus AI Engine. The MLflow server UI can be accessed using NodePort `30500`. Follow the below steps to install the Morpheus MLflow:
 
 ```bash
-helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-mlflow-23.11.tgz --username='$oauthtoken' --password=$API_KEY --untar
+helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-mlflow-24.03.tgz --username='$oauthtoken' --password=$API_KEY --untar
 ```
 ```bash
 helm install --set ngc.apiKey="$API_KEY" \
@@ -402,7 +402,7 @@ To publish messages to a Kafka topic, we need to copy datasets to locations wher
 kubectl -n $NAMESPACE exec sdk-cli-helper -- cp -R /workspace/examples/data /common
 ```
 
-Refer to the [Morpheus CLI Overview](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/docs/source/basics/overview.rst) and [Building a Pipeline](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/docs/source/basics/building_a_pipeline.md) documentation for more information regarding the commands.
+Refer to the [Morpheus CLI Overview](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/docs/source/basics/overview.rst) and [Building a Pipeline](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/docs/source/basics/building_a_pipeline.md) documentation for more information regarding the commands.
 
 > **Note**: Before running the example pipelines, ensure the criteria below are met:
 -   Ensure models specific to the pipeline are deployed.
@@ -725,7 +725,7 @@ On your AWS EC2 G4 instance, follow the instructions in the linked document to i
 
 ### Prerequisites
 1.  NVIDIA-Certified System
-2.  NVIDIA Pascal GPU or newer (Compute Capability >= 6.0)
+2.  NVIDIA Volta GPU or newer (Compute Capability >= 7.0)
 3.  Ubuntu 20.04 LTS or newer
 
 ## Installing Cloud Native Core Stack on NVIDIA Certified Systems
@@ -782,8 +782,8 @@ kubectl -n $NAMESPACE exec deploy/broker -c broker -- kafka-topics.sh \
 
 ## Additional Documentation
 For more information on how to use the Morpheus Python API to customize and run your own optimized AI pipelines, Refer to below documentation.
-- [Morpheus Developer Guides](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/docs/source/developer_guide/guides.md)
-- [Morpheus Pipeline Examples](https://github.com/nv-morpheus/Morpheus/tree/branch-23.11/examples)
+- [Morpheus Developer Guides](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/docs/source/developer_guide/guides.md)
+- [Morpheus Pipeline Examples](https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/examples)
 
 
 ## Troubleshooting
diff --git a/docs/source/conf.py b/docs/source/conf.py
index f7b26651b7..053e8214a8 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -56,7 +56,7 @@
 # -- Project information -----------------------------------------------------
 
 project = 'morpheus'
-copyright = '2023, NVIDIA'
+copyright = '2024, NVIDIA'
 author = 'NVIDIA'
 
 # The version info for the project you're documenting, acts as replacement for
@@ -170,15 +170,17 @@
     "cudf",  # Avoid loading GPU libraries during the documentation build
     "cupy",  # Avoid loading GPU libraries during the documentation build
     "databricks.connect",
+    "datacompy",
     "langchain",
     "merlin",
     "morpheus.cli.commands",  # Dont document the CLI in Sphinx
     "nvtabular",
     "pandas",
+    "pydantic",
     "pymilvus",
     "tensorrt",
     "torch",
-    "tqdm",
+    "tqdm"
 ]
 
 suppress_warnings = [
diff --git a/docs/source/developer_guide/architecture.md b/docs/source/developer_guide/architecture.md
index 29a1b402f7..fcadb0a0c7 100644
--- a/docs/source/developer_guide/architecture.md
+++ b/docs/source/developer_guide/architecture.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/contributing.md b/docs/source/developer_guide/contributing.md
index 2688d5d652..66ad68fcb6 100644
--- a/docs/source/developer_guide/contributing.md
+++ b/docs/source/developer_guide/contributing.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -68,7 +68,7 @@ All of the following instructions assume several variables have been set:
  - `PYTHON_VER`: The desired Python version. Minimum required is `3.10`
  - `RAPIDS_VER`: The desired RAPIDS version for all RAPIDS libraries including cuDF and RMM. If in doubt use `23.06`
  - `TRITONCLIENT_VERSION`: The desired Triton client. If in doubt use `22.10`
- - `CUDA_VER`: The desired CUDA version to use. If in doubt use `11.8`
+ - `CUDA_VER`: The desired CUDA version to use. If in doubt use `12.1`
 
 
 ### Clone the repository and pull large file data from Git LFS
@@ -77,7 +77,7 @@ All of the following instructions assume several variables have been set:
 export PYTHON_VER=3.10
 export RAPIDS_VER=23.06
 export TRITONCLIENT_VERSION=22.10
-export CUDA_VER=11.8
+export CUDA_VER=12.1
 export MORPHEUS_ROOT=$(pwd)/morpheus
 git clone https://github.com/nv-morpheus/Morpheus.git $MORPHEUS_ROOT
 cd $MORPHEUS_ROOT
@@ -173,9 +173,8 @@ Note: These instructions assume the user is using `mamba` instead of `conda` sin
 
 #### Prerequisites
 
-- Pascal architecture GPU or better
-- NVIDIA driver `520.61.05` or higher
-- [CUDA 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive)
+- Volta architecture GPU or better
+- [CUDA 12.1](https://developer.nvidia.com/cuda-12-1-0-download-archive)
 - `conda` and `mamba`
   - Refer to the [Getting Started Guide](https://conda.io/projects/conda/en/latest/user-guide/install/index.html) if `conda` is not already installed
   - Install `mamba`:
@@ -191,7 +190,7 @@ Note: These instructions assume the user is using `mamba` instead of `conda` sin
    ```bash
    export PYTHON_VER=3.10
    export RAPIDS_VER=23.06
-   export CUDA_VER=11.8
+   export CUDA_VER=12.1
    export MORPHEUS_ROOT=$(pwd)/morpheus
    git clone https://github.com/nv-morpheus/Morpheus.git $MORPHEUS_ROOT
    cd $MORPHEUS_ROOT
@@ -205,7 +204,7 @@ git submodule update --init --recursive
 
 1. Create the Morpheus Conda environment
    ```bash
-   mamba env create -f ./docker/conda/environments/cuda${CUDA_VER}_dev.yml
+   conda env create --solver=libmamba -n morpheus --file conda/environments/dev_cuda-121_arch-x86_64.yaml
    conda activate morpheus
    ```
 
@@ -420,7 +419,7 @@ Third-party code included in the source tree (that is not pulled in as an extern
 Ex:
 ```
 /**
- * SPDX-FileCopyrightText: Copyright (c) 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2018-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/guides.md b/docs/source/developer_guide/guides.md
index 45d0c0c228..9e4fba5ff7 100644
--- a/docs/source/developer_guide/guides.md
+++ b/docs/source/developer_guide/guides.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/guides/10_modular_pipeline_digital_fingerprinting.md b/docs/source/developer_guide/guides/10_modular_pipeline_digital_fingerprinting.md
index 408d6e6804..bbf46ae691 100644
--- a/docs/source/developer_guide/guides/10_modular_pipeline_digital_fingerprinting.md
+++ b/docs/source/developer_guide/guides/10_modular_pipeline_digital_fingerprinting.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -527,7 +527,7 @@ From the `examples/digital_fingerprinting/production` dir, run:
 ```bash
 docker compose run morpheus_pipeline bash
 ```
-To run the DFP pipelines with the example datasets within the container, run:
+To run the DFP pipelines with the example datasets within the container, run the following from `examples/digital_fingerprinting/production/morpheus`:
 
 * Duo Training Pipeline
     ```bash
@@ -560,7 +560,7 @@ To run the DFP pipelines with the example datasets within the container, run:
         --start_time "2022-08-01" \
         --duration "60d" \
         --train_users generic \
-        --input_file "./control_messages/duo_payload_load_train_inference.json" 
+        --input_file "./control_messages/duo_payload_load_train_inference.json"
     ```
 
 * Azure Training Pipeline
@@ -594,7 +594,7 @@ To run the DFP pipelines with the example datasets within the container, run:
         --start_time "2022-08-01" \
         --duration "60d" \
         --train_users generic \
-        --input_file "./control_messages/azure_payload_load_train_inference.json" 
+        --input_file "./control_messages/azure_payload_load_train_inference.json"
     ```
 
 ### Output Fields
@@ -615,4 +615,4 @@ In addition to this, for each input feature the following output fields will exi
 | `<feature name>_z_loss` | FLOAT | The loss z-score |
 | `<feature name>_pred` | FLOAT | The predicted value |
 
-Refer to [DFPInferenceStage](6_digital_fingerprinting_reference.md#inference-stage-dfpinferencestage) for more on these fields.
\ No newline at end of file
+Refer to [DFPInferenceStage](6_digital_fingerprinting_reference.md#inference-stage-dfpinferencestage) for more on these fields.
diff --git a/docs/source/developer_guide/guides/1_simple_python_stage.md b/docs/source/developer_guide/guides/1_simple_python_stage.md
index e17341c40d..adb813a8b2 100644
--- a/docs/source/developer_guide/guides/1_simple_python_stage.md
+++ b/docs/source/developer_guide/guides/1_simple_python_stage.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -230,6 +230,18 @@ Before constructing the pipeline, we need to do a bit of environment configurati
 ```python
 configure_logging(log_level=logging.DEBUG)
 ```
+We use the default configuration with the `DEBUG` logging level. The logger will output to both the console and a file. The logging handlers are non-blocking since they utilize a queue to send the log messages on a separate thread.
+
+We can also use `configure_logging` to add one or more logging handlers to the default configuration. The added handlers will also be non-blocking. The following is from the Grafana example (`examples/digital_fingerprinting/production/grafana/README.md`) where we add a [Loki](https://grafana.com/oss/loki/) logging handler to also publish Morpheus logs to a Loki log aggregation server.
+```python
+loki_handler = logging_loki.LokiHandler(
+    url=f"{loki_url}/loki/api/v1/push",
+    tags={"app": "morpheus"},
+    version="1",
+)
+
+configure_logging(loki_handler, log_level=log_level)
+```
 
 Next, we will build a Morpheus `Config` object. We will cover setting some common configuration parameters in the next guide. For now, it is important to know that we will always need to build a `Config` object:
 ```python
diff --git a/docs/source/developer_guide/guides/2_real_world_phishing.md b/docs/source/developer_guide/guides/2_real_world_phishing.md
index ba16f0b796..7dc24ae993 100644
--- a/docs/source/developer_guide/guides/2_real_world_phishing.md
+++ b/docs/source/developer_guide/guides/2_real_world_phishing.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/guides/3_simple_cpp_stage.md b/docs/source/developer_guide/guides/3_simple_cpp_stage.md
index da2ef93624..2b203ef42b 100644
--- a/docs/source/developer_guide/guides/3_simple_cpp_stage.md
+++ b/docs/source/developer_guide/guides/3_simple_cpp_stage.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,10 +16,22 @@ limitations under the License.
 -->
 
 # Simple C++ Stage
-> **Note**: The code for this guide can be found in the `examples/developer_guide/3_simple_cpp_stage` directory of the Morpheus repository. To build the C++ examples, pass `-DMORPHEUS_BUILD_EXAMPLES=ON` to CMake when building Morpheus. Users building Morpheus with the provided `scripts/compile.sh` script can do do by setting the `CMAKE_CONFIGURE_EXTRA_ARGS` environment variable:
-> ```bash
-> CMAKE_CONFIGURE_EXTRA_ARGS="-DMORPHEUS_BUILD_EXAMPLES=ON" ./scripts/compile.sh
+## Building the Example
+The code for this guide can be found in the `examples/developer_guide/3_simple_cpp_stage` directory of the Morpheus repository. There are two ways to build the example. The first is to build the examples along with Morpheus by passing the `-DMORPHEUS_BUILD_EXAMPLES=ON` flag to cmake, for users using the `scripts/compile.sh` at the root of the Morpheus repo can do this by setting the `CMAKE_CONFIGURE_EXTRA_ARGS` environment variable:
+```bash
+CMAKE_CONFIGURE_EXTRA_ARGS="-DMORPHEUS_BUILD_EXAMPLES=ON" ./scripts/compile.sh
+```
+
+The second method is to build the example as a standalone project. From the root of the Morpheus repo execute:
+```bash
+cd examples/developer_guide/3_simple_cpp_stage
+./compile.sh
 
+# Optionally install the package into the current python environment
+pip install ./
+```
+
+## Overview
 Morpheus offers the choice of writing pipeline stages in either Python or C++. For many use cases, a Python stage is perfectly fine. However, in the event that a Python stage becomes a bottleneck for the pipeline, then writing a C++ implementation for the stage becomes advantageous. The C++ implementations of Morpheus stages and messages utilize the [pybind11](https://pybind11.readthedocs.io/en/stable/index.html) library to provide Python bindings.
 
 So far we have been defining our stages in Python, the option of defining a C++ implementation is only available to stages implemented as classes. Many of the stages included with Morpheus have both a Python and a C++ implementation, and Morpheus will use the C++ implementations by default. You can explicitly disable the use of C++ stage implementations by calling `morpheus.config.CppConfig.set_should_use_cpp(False)`:
@@ -275,7 +287,7 @@ The Python interface itself defines a Python module named `morpheus_example` and
 namespace py = pybind11;
 
 // Define the pybind11 module m.
-PYBIND11_MODULE(morpheus_example, m)
+PYBIND11_MODULE(pass_thru_cpp, m)
 {
     mrc::pymrc::import(m, "morpheus._lib.messages");
 
@@ -319,7 +331,7 @@ std::shared_ptr<mrc::segment::Object<PassThruStage>> PassThruStageInterfaceProxy
 namespace py = pybind11;
 
 // Define the pybind11 module m.
-PYBIND11_MODULE(morpheus_example, m)
+PYBIND11_MODULE(pass_thru_cpp, m)
 {
     mrc::pymrc::import(m, "morpheus._lib.messages");
 
@@ -353,10 +365,9 @@ As mentioned in the previous section, our `_build_single` method needs to be upd
 ```python
 def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
     if self._build_cpp_node() and issubclass(self._input_type, MultiMessage):
-        from _lib import morpheus_example as morpheus_example_cpp
+        from ._lib import pass_thru_cpp
 
-        # pylint: disable=c-extension-no-member
-        node = morpheus_example_cpp.PassThruStage(builder, self.unique_name)
+        node = pass_thru_cpp.PassThruStage(builder, self.unique_name)
     else:
         node = builder.make_node(self.unique_name, ops.map(self.on_data))
 
@@ -408,9 +419,9 @@ class PassThruStage(PassThruTypeMixin, SinglePortStage):
 
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
         if self._build_cpp_node() and issubclass(self._input_type, MultiMessage):
-            from _lib import morpheus_example as morpheus_example_cpp
+            from ._lib import pass_thru_cpp
 
-            node = morpheus_example_cpp.PassThruStage(builder, self.unique_name)
+            node = pass_thru_cpp.PassThruStage(builder, self.unique_name)
         else:
             node = builder.make_node(self.unique_name, ops.map(self.on_data))
 
@@ -420,10 +431,10 @@ class PassThruStage(PassThruTypeMixin, SinglePortStage):
 
 ## Testing the Stage
 To test the updated stage we will build a simple pipeline using the  Morpheus command line tool. In order to illustrate the stage building a C++ node only when the input type is a `MultiMessage` we will insert the `pass-thru` stage in twice in the pipeline. In the first instance the input type will be `MessageMeta` and the stage will fallback to using a Python node, and in the second instance the input type will be a `MultiMessage` and the stage will build a C++ node.
-    
+
 ```bash
-PYTHONPATH="examples/developer_guide/3_simple_cpp_stage" \
-morpheus --log_level=debug --plugin "pass_thru" \
+PYTHONPATH="examples/developer_guide/3_simple_cpp_stage/src" \
+morpheus --log_level=debug --plugin "simple_cpp_stage.pass_thru" \
     run pipeline-other \
     from-file --filename=examples/data/email_with_addresses.jsonlines \
     pass-thru \
@@ -432,5 +443,3 @@ morpheus --log_level=debug --plugin "pass_thru" \
     pass-thru \
     monitor
 ```
-
-> **Note**: In the above example we set the `PYTHONPATH` environment variable this is to facilitate the relative import the stage performs of the `_lib` module.
\ No newline at end of file
diff --git a/docs/source/developer_guide/guides/4_source_cpp_stage.md b/docs/source/developer_guide/guides/4_source_cpp_stage.md
index 58c0dbaf88..8bc17f1347 100644
--- a/docs/source/developer_guide/guides/4_source_cpp_stage.md
+++ b/docs/source/developer_guide/guides/4_source_cpp_stage.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,10 +16,22 @@ limitations under the License.
 -->
 
 # Creating a C++ Source Stage
-> **Note**: The code for this guide can be found in the `examples/developer_guide/4_rabbitmq_cpp_stage` directory of the Morpheus repository. To build the C++ examples, pass `-DMORPHEUS_BUILD_EXAMPLES=ON` to CMake when building Morpheus. Users building Morpheus with the provided `scripts/compile.sh` script can do do by setting the `CMAKE_CONFIGURE_EXTRA_ARGS` environment variable:
-> ```bash
-> CMAKE_CONFIGURE_EXTRA_ARGS="-DMORPHEUS_BUILD_EXAMPLES=ON" ./scripts/compile.sh
+## Building the Example
+The code for this guide can be found in the `examples/developer_guide/4_rabbitmq_cpp_stage` directory of the Morpheus repository. There are two ways to build the example. The first is to build the examples along with Morpheus by passing the `-DMORPHEUS_BUILD_EXAMPLES=ON` flag to cmake, for users using the `scripts/compile.sh` at the root of the Morpheus repo can do this by setting the `CMAKE_CONFIGURE_EXTRA_ARGS` environment variable:
+```bash
+CMAKE_CONFIGURE_EXTRA_ARGS="-DMORPHEUS_BUILD_EXAMPLES=ON" ./scripts/compile.sh
+```
+
+The second method is to build the example as a standalone project. From the root of the Morpheus repo execute:
+```bash
+cd examples/developer_guide/4_rabbitmq_cpp_stage
+./compile.sh
+
+# Optionally install the package into the current python environment
+pip install ./
+```
 
+## Overview
 For this example, we are going to add a C++ implementation for the `RabbitMQSourceStage` we designed in the Python examples. The Python implementation of this stage emits messages of the type `MessageMeta`; as such, our C++ implementation must do the same.
 
 For communicating with [RabbitMQ](https://www.rabbitmq.com/) we will be using the [SimpleAmqpClient](https://github.com/alanxz/SimpleAmqpClient) library, and [libcudf](https://docs.rapids.ai/api/libcudf/stable/index.html) for constructing the `DataFrame`.
@@ -199,8 +211,8 @@ RabbitMQSourceStage::RabbitMQSourceStage(const std::string& host,
                                          const std::string& queue_name,
                                          std::chrono::milliseconds poll_interval) :
   PythonSource(build()),
-  m_channel{AmqpClient::Channel::Create(host)},
-  m_poll_interval{poll_interval}
+  m_poll_interval{poll_interval},
+  m_channel{AmqpClient::Channel::Create(host)}
 {
     m_channel->DeclareExchange(exchange, exchange_type);
     m_queue_name = m_channel->DeclareQueue(queue_name);
@@ -316,7 +328,7 @@ std::shared_ptr<mrc::segment::Object<RabbitMQSourceStage>> RabbitMQSourceStageIn
 namespace py = pybind11;
 
 // Define the pybind11 module m.
-PYBIND11_MODULE(morpheus_rabbit, m)
+PYBIND11_MODULE(rabbitmq_cpp_stage, m)
 {
     mrc::pymrc::import(m, "morpheus._lib.messages");
 
@@ -358,8 +370,8 @@ RabbitMQSourceStage::RabbitMQSourceStage(const std::string& host,
                                          const std::string& queue_name,
                                          std::chrono::milliseconds poll_interval) :
   PythonSource(build()),
-  m_channel{AmqpClient::Channel::Create(host)},
-  m_poll_interval{poll_interval}
+  m_poll_interval{poll_interval},
+  m_channel{AmqpClient::Channel::Create(host)}
 {
     m_channel->DeclareExchange(exchange, exchange_type);
     m_queue_name = m_channel->DeclareQueue(queue_name);
@@ -444,7 +456,7 @@ std::shared_ptr<mrc::segment::Object<RabbitMQSourceStage>> RabbitMQSourceStageIn
 namespace py = pybind11;
 
 // Define the pybind11 module m.
-PYBIND11_MODULE(morpheus_rabbit, m)
+PYBIND11_MODULE(rabbitmq_cpp_stage, m)
 {
     mrc::pymrc::import(m, "morpheus._lib.messages");
 
@@ -511,7 +523,7 @@ Lastly, our `_build_source` method needs to be updated to build a C++ node when
 ```python
 def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
     if self._build_cpp_node():
-        from _lib import morpheus_rabbit as morpheus_rabbit_cpp
+        from ._lib import rabbitmq_cpp_stage
 
         node = morpheus_rabbit_cpp.RabbitMQSourceStage(builder,
                                                         self.unique_name,
diff --git a/docs/source/developer_guide/guides/5_digital_fingerprinting.md b/docs/source/developer_guide/guides/5_digital_fingerprinting.md
index da36f4c24f..cc283c984e 100644
--- a/docs/source/developer_guide/guides/5_digital_fingerprinting.md
+++ b/docs/source/developer_guide/guides/5_digital_fingerprinting.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/guides/6_digital_fingerprinting_reference.md b/docs/source/developer_guide/guides/6_digital_fingerprinting_reference.md
index 38518c17e0..3307d2ece5 100644
--- a/docs/source/developer_guide/guides/6_digital_fingerprinting_reference.md
+++ b/docs/source/developer_guide/guides/6_digital_fingerprinting_reference.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/guides/7_python_modules.md b/docs/source/developer_guide/guides/7_python_modules.md
index bdd8691163..4bb1e64a3b 100644
--- a/docs/source/developer_guide/guides/7_python_modules.md
+++ b/docs/source/developer_guide/guides/7_python_modules.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/guides/8_cpp_modules.md b/docs/source/developer_guide/guides/8_cpp_modules.md
index 7a9fb60a10..30c3a9e072 100644
--- a/docs/source/developer_guide/guides/8_cpp_modules.md
+++ b/docs/source/developer_guide/guides/8_cpp_modules.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/guides/9_control_messages.md b/docs/source/developer_guide/guides/9_control_messages.md
index 96d42609c2..57e1b54214 100644
--- a/docs/source/developer_guide/guides/9_control_messages.md
+++ b/docs/source/developer_guide/guides/9_control_messages.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/developer_guide/guides/index.rst b/docs/source/developer_guide/guides/index.rst
index 5225ba39fb..64706d4eab 100644
--- a/docs/source/developer_guide/guides/index.rst
+++ b/docs/source/developer_guide/guides/index.rst
@@ -1,5 +1,5 @@
 ..
-   SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+   SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
    SPDX-License-Identifier: Apache-2.0
 
    Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/examples.md b/docs/source/examples.md
index 352fea8051..5de469f588 100644
--- a/docs/source/examples.md
+++ b/docs/source/examples.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/examples/index.rst b/docs/source/examples/index.rst
index 3f1ae1d451..30d30f3e8e 100644
--- a/docs/source/examples/index.rst
+++ b/docs/source/examples/index.rst
@@ -1,5 +1,5 @@
 ..
-   SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+   SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
    SPDX-License-Identifier: Apache-2.0
 
    Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/examples/llm/README.md b/docs/source/examples/llm/README.md
index cf6e16e9c7..f84656cf6a 100644
--- a/docs/source/examples/llm/README.md
+++ b/docs/source/examples/llm/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/examples/llm/index.rst b/docs/source/examples/llm/index.rst
index 523f02b45e..a4354e61f4 100644
--- a/docs/source/examples/llm/index.rst
+++ b/docs/source/examples/llm/index.rst
@@ -1,5 +1,5 @@
 ..
-   SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+   SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
    SPDX-License-Identifier: Apache-2.0
 
    Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/examples/llm/rag/README.md b/docs/source/examples/llm/rag/README.md
index 06df5f1708..2307414780 100644
--- a/docs/source/examples/llm/rag/README.md
+++ b/docs/source/examples/llm/rag/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/examples/llm/vdb_upload/README.md b/docs/source/examples/llm/vdb_upload/README.md
index 35dc71cf5c..7c5e79db7d 100644
--- a/docs/source/examples/llm/vdb_upload/README.md
+++ b/docs/source/examples/llm/vdb_upload/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/extra_info/glossary.md b/docs/source/extra_info/glossary.md
index 8e1cf3ff7d..a369ad5c1c 100644
--- a/docs/source/extra_info/glossary.md
+++ b/docs/source/extra_info/glossary.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/extra_info/known_issues.md b/docs/source/extra_info/known_issues.md
index 15bc50ae6e..2ade48011e 100644
--- a/docs/source/extra_info/known_issues.md
+++ b/docs/source/extra_info/known_issues.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/extra_info/performance.md b/docs/source/extra_info/performance.md
index 796e455459..fea3efe5f2 100644
--- a/docs/source/extra_info/performance.md
+++ b/docs/source/extra_info/performance.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/extra_info/troubleshooting.md b/docs/source/extra_info/troubleshooting.md
index b1ef6005b9..b8f68d417b 100644
--- a/docs/source/extra_info/troubleshooting.md
+++ b/docs/source/extra_info/troubleshooting.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -29,6 +29,42 @@ rm -rf ${MORPHEUS_ROOT}/build
 # Restart the build
 ./scripts/compile.sh
 ```
+
+**Incompatible MLflow Models**
+
+Models trained with a previous version of Morpheus and stored into MLflow may be incompatible with the current version. This error can be identified by the following error message occurring in an MLflow based pipeline such as DFP.
+
+```
+Error trying to get model
+
+Traceback (most recent call last):
+
+File "/workspace/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_inference_stage.py", line 101, in on_data
+
+loaded_model = model_cache.load_model(self._client)
+```
+```
+ModuleNotFoundError: No module named 'dfencoder'
+```
+
+The work arounds available for this issue are:
+
+* Revert to the previous version of Morpheus until the models can be re-trained.
+* Re-train the model using the current version of Morpheus
+
+In the case of models trained by the DFP example, the existing models can be deleted by running the following command:
+
+```bash
+docker volume ls # list current docker volumes
+docker volume rm production_db_data production_mlflow_data
+
+# Re-build the MLflow container for DFP
+cd ${MORPHEUS_ROOT}/examples/digital_fingerprinting/production/
+docker compose build
+docker compose up mlflow
+```
+
+
 **Debugging Python Code**
 
 To debug issues in python code, several Visual Studio Code launch configurations have been included in the repo. These launch configurations can be found in `${MORPHEUS_ROOT}/morpheus.code-workspace`. To launch the debugging environment, ensure Visual Studio Code has opened the morpheus workspace file (File->Open Workspace from File...). Once the workspace has been loaded, the launch configurations should be available in the debugging tab.
diff --git a/docs/source/getting_started.md b/docs/source/getting_started.md
index 7667dfab0a..eed316f43f 100644
--- a/docs/source/getting_started.md
+++ b/docs/source/getting_started.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -27,8 +27,8 @@ The [pre-built Docker containers](#using-pre-built-docker-containers) are the ea
 More advanced users, or those who are interested in using the latest pre-release features, will need to [build the Morpheus container](#building-the-morpheus-container) or [build from source](./developer_guide/contributing.md#building-from-source).
 
 ## Requirements
-- Pascal architecture GPU or better
-- NVIDIA driver `520.61.05` or higher
+- Volta architecture GPU or better
+- [CUDA 12.1](https://developer.nvidia.com/cuda-12-1-0-download-archive)
 - [Docker](https://docs.docker.com/get-docker/)
 - [The NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker)
 - [NVIDIA Triton Inference Server](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver) `23.06` or higher
@@ -41,14 +41,14 @@ More advanced users, or those who are interested in using the latest pre-release
 ### Pull the Morpheus Image
 1. Go to [https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus/tags](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus/tags)
 1. Choose a version
-1. Download the selected version, for example for `23.11`:
+1. Download the selected version, for example for `24.03`:
 ```bash
-docker pull nvcr.io/nvidia/morpheus/morpheus:23.11-runtime
+docker pull nvcr.io/nvidia/morpheus/morpheus:24.03-runtime
 ```
 
 > **Note about Morpheus versions:**
 >
-> Morpheus uses Calendar Versioning ([CalVer](https://calver.org/)). For each Morpheus release there will be an image tagged in the form of `YY.MM-runtime` this tag will always refer to the latest point release for that version. In addition to this there will also be at least one point release version tagged in the form of `vYY.MM.00-runtime` this will be the initial point release for that version (ex. `v23.11.00-runtime`). In the event of a major bug, we may release additional point releases (ex. `v23.11.01-runtime`, `v23.11.02-runtime` etc...), and the `YY.MM-runtime` tag will be updated to reference that point release.
+> Morpheus uses Calendar Versioning ([CalVer](https://calver.org/)). For each Morpheus release there will be an image tagged in the form of `YY.MM-runtime` this tag will always refer to the latest point release for that version. In addition to this there will also be at least one point release version tagged in the form of `vYY.MM.00-runtime` this will be the initial point release for that version (ex. `v24.03.00-runtime`). In the event of a major bug, we may release additional point releases (ex. `v24.03.01-runtime`, `v24.03.02-runtime` etc...), and the `YY.MM-runtime` tag will be updated to reference that point release.
 >
 > Users who want to ensure they are running with the latest bug fixes should use a release image tag (`YY.MM-runtime`). Users who need to deploy a specific version into production should use a point release image tag (`vYY.MM.00-runtime`).
 
@@ -56,7 +56,7 @@ docker pull nvcr.io/nvidia/morpheus/morpheus:23.11-runtime
 1. Ensure that [The NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker) is installed.
 1. Start the container downloaded from the previous section:
 ```bash
-docker run --rm -ti --runtime=nvidia --gpus=all --net=host -v /var/run/docker.sock:/var/run/docker.sock nvcr.io/nvidia/morpheus/morpheus:23.11-runtime bash
+docker run --rm -ti --runtime=nvidia --gpus=all --net=host -v /var/run/docker.sock:/var/run/docker.sock nvcr.io/nvidia/morpheus/morpheus:24.03-runtime bash
 ```
 
 Note about some of the flags above:
@@ -133,10 +133,10 @@ To run the built "release" container, use the following:
 ./docker/run_container_release.sh
 ```
 
-The `./docker/run_container_release.sh` script accepts the same `DOCKER_IMAGE_NAME`, and `DOCKER_IMAGE_TAG` environment variables that the `./docker/build_container_release.sh` script does. For example, to run version `v23.11.00` use the following:
+The `./docker/run_container_release.sh` script accepts the same `DOCKER_IMAGE_NAME`, and `DOCKER_IMAGE_TAG` environment variables that the `./docker/build_container_release.sh` script does. For example, to run version `v24.03.00` use the following:
 
 ```bash
-DOCKER_IMAGE_TAG="v23.11.00-runtime" ./docker/run_container_release.sh
+DOCKER_IMAGE_TAG="v24.03.00-runtime" ./docker/run_container_release.sh
 ```
 
 ## Launching Triton Server
@@ -233,7 +233,7 @@ Options:
                                   False]
 ```
 
-Several examples on using the Morpheus CLI can be found in the [Basic Usage](./basics/overview) guide along with the other [Morpheus Examples](./examples.md).
+Several examples on using the Morpheus CLI can be found in the [Basic Usage](./basics/overview.rst) guide along with the other [Morpheus Examples](./examples.md).
 
 #### CLI Stage Configuration
 
diff --git a/docs/source/index.rst b/docs/source/index.rst
index e400523eb6..fae48cc6b0 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -1,5 +1,5 @@
 ..
-   SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+   SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
    SPDX-License-Identifier: Apache-2.0
 
    Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/loaders/core/file_to_df_loader.md b/docs/source/loaders/core/file_to_df_loader.md
index 12c24f631c..a80fe17687 100644
--- a/docs/source/loaders/core/file_to_df_loader.md
+++ b/docs/source/loaders/core/file_to_df_loader.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/loaders/core/fsspec_loader.md b/docs/source/loaders/core/fsspec_loader.md
index de4cb56ebb..e21ec94049 100644
--- a/docs/source/loaders/core/fsspec_loader.md
+++ b/docs/source/loaders/core/fsspec_loader.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/loaders/core/rest_to_df_loader.md b/docs/source/loaders/core/rest_to_df_loader.md
index e03ce9921f..950c697ce2 100644
--- a/docs/source/loaders/core/rest_to_df_loader.md
+++ b/docs/source/loaders/core/rest_to_df_loader.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/loaders/core/sql_loader.md b/docs/source/loaders/core/sql_loader.md
index dd70b3f26c..7a5318f746 100644
--- a/docs/source/loaders/core/sql_loader.md
+++ b/docs/source/loaders/core/sql_loader.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/loaders/index.md b/docs/source/loaders/index.md
index 3d368e4488..9e68c342a8 100644
--- a/docs/source/loaders/index.md
+++ b/docs/source/loaders/index.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/models_and_datasets.md b/docs/source/models_and_datasets.md
index 9115fde0ea..1ab12f7650 100644
--- a/docs/source/models_and_datasets.md
+++ b/docs/source/models_and_datasets.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/data_loader.md b/docs/source/modules/core/data_loader.md
index 7959acec98..eb175206b3 100644
--- a/docs/source/modules/core/data_loader.md
+++ b/docs/source/modules/core/data_loader.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/file_batcher.md b/docs/source/modules/core/file_batcher.md
index 90770ac61f..fe7e7b4006 100644
--- a/docs/source/modules/core/file_batcher.md
+++ b/docs/source/modules/core/file_batcher.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/file_to_df.md b/docs/source/modules/core/file_to_df.md
index 7e0e1fb578..ec3133d39f 100644
--- a/docs/source/modules/core/file_to_df.md
+++ b/docs/source/modules/core/file_to_df.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/filter_control_message.md b/docs/source/modules/core/filter_control_message.md
index 8188afc007..085104f569 100644
--- a/docs/source/modules/core/filter_control_message.md
+++ b/docs/source/modules/core/filter_control_message.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/filter_detections.md b/docs/source/modules/core/filter_detections.md
index 7312983eda..dd26d8f5b9 100644
--- a/docs/source/modules/core/filter_detections.md
+++ b/docs/source/modules/core/filter_detections.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/from_control_message.md b/docs/source/modules/core/from_control_message.md
index 2f7f4f71a3..ae6ec12a33 100644
--- a/docs/source/modules/core/from_control_message.md
+++ b/docs/source/modules/core/from_control_message.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/mlflow_model_writer.md b/docs/source/modules/core/mlflow_model_writer.md
index e48ae7f648..1ba2161323 100644
--- a/docs/source/modules/core/mlflow_model_writer.md
+++ b/docs/source/modules/core/mlflow_model_writer.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/payload_batcher.md b/docs/source/modules/core/payload_batcher.md
index 8df1ea2766..06729cbe1f 100644
--- a/docs/source/modules/core/payload_batcher.md
+++ b/docs/source/modules/core/payload_batcher.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/serialize.md b/docs/source/modules/core/serialize.md
index daaf01d434..01b32b8d54 100644
--- a/docs/source/modules/core/serialize.md
+++ b/docs/source/modules/core/serialize.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/to_control_message.md b/docs/source/modules/core/to_control_message.md
index 6116f9cb6e..43a937f4fa 100644
--- a/docs/source/modules/core/to_control_message.md
+++ b/docs/source/modules/core/to_control_message.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/write_to_elasticsearch.md b/docs/source/modules/core/write_to_elasticsearch.md
index 7689b6e3fc..5ddca72707 100644
--- a/docs/source/modules/core/write_to_elasticsearch.md
+++ b/docs/source/modules/core/write_to_elasticsearch.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/core/write_to_file.md b/docs/source/modules/core/write_to_file.md
index 0365ee745f..61b6f6983c 100644
--- a/docs/source/modules/core/write_to_file.md
+++ b/docs/source/modules/core/write_to_file.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_data_prep.md b/docs/source/modules/examples/digital_fingerprinting/dfp_data_prep.md
index b92ed96af8..4f304f30ce 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_data_prep.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_data_prep.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_deployment.md b/docs/source/modules/examples/digital_fingerprinting/dfp_deployment.md
index 87a29bd0fb..e63d791e54 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_deployment.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_deployment.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_inference.md b/docs/source/modules/examples/digital_fingerprinting/dfp_inference.md
index b39fd395e7..50f0698aa1 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_inference.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_inference.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_inference_pipe.md b/docs/source/modules/examples/digital_fingerprinting/dfp_inference_pipe.md
index 7e997989ce..5827b0a40d 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_inference_pipe.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_inference_pipe.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_monitor.md b/docs/source/modules/examples/digital_fingerprinting/dfp_monitor.md
index 063619aba0..6f026dd396 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_monitor.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_monitor.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_postprocessing.md b/docs/source/modules/examples/digital_fingerprinting/dfp_postprocessing.md
index 5d071c1528..c60883f7f3 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_postprocessing.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_postprocessing.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_preproc.md b/docs/source/modules/examples/digital_fingerprinting/dfp_preproc.md
index cd0355e78f..39ec800ed3 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_preproc.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_preproc.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_rolling_window.md b/docs/source/modules/examples/digital_fingerprinting/dfp_rolling_window.md
index 43dbee2dad..b6b8c068f2 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_rolling_window.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_rolling_window.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_split_users.md b/docs/source/modules/examples/digital_fingerprinting/dfp_split_users.md
index 7e63c9c704..1479d3c166 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_split_users.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_split_users.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_training.md b/docs/source/modules/examples/digital_fingerprinting/dfp_training.md
index 3dce760535..8c8ffdd5ed 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_training.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_training.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/digital_fingerprinting/dfp_training_pipe.md b/docs/source/modules/examples/digital_fingerprinting/dfp_training_pipe.md
index ad719e4e4a..388f2851ea 100644
--- a/docs/source/modules/examples/digital_fingerprinting/dfp_training_pipe.md
+++ b/docs/source/modules/examples/digital_fingerprinting/dfp_training_pipe.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_email_enrichment.md b/docs/source/modules/examples/spear_phishing/sp_email_enrichment.md
index 89106aaf13..c501b6a752 100644
--- a/docs/source/modules/examples/spear_phishing/sp_email_enrichment.md
+++ b/docs/source/modules/examples/spear_phishing/sp_email_enrichment.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_inference_intent.md b/docs/source/modules/examples/spear_phishing/sp_inference_intent.md
index 1e47267a3e..05ba8d81c7 100644
--- a/docs/source/modules/examples/spear_phishing/sp_inference_intent.md
+++ b/docs/source/modules/examples/spear_phishing/sp_inference_intent.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_inference_sp_classifier.md b/docs/source/modules/examples/spear_phishing/sp_inference_sp_classifier.md
index 11d8c811a4..34f17cf18c 100644
--- a/docs/source/modules/examples/spear_phishing/sp_inference_sp_classifier.md
+++ b/docs/source/modules/examples/spear_phishing/sp_inference_sp_classifier.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_label_and_score.md b/docs/source/modules/examples/spear_phishing/sp_label_and_score.md
index 048f3556d9..01a34bcf8b 100644
--- a/docs/source/modules/examples/spear_phishing/sp_label_and_score.md
+++ b/docs/source/modules/examples/spear_phishing/sp_label_and_score.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_preprocessing.md b/docs/source/modules/examples/spear_phishing/sp_preprocessing.md
index 7444a94f6b..29eefa121b 100644
--- a/docs/source/modules/examples/spear_phishing/sp_preprocessing.md
+++ b/docs/source/modules/examples/spear_phishing/sp_preprocessing.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_sender_sketch_aggregator.md b/docs/source/modules/examples/spear_phishing/sp_sender_sketch_aggregator.md
index 9ad5690560..a6a6c47a98 100644
--- a/docs/source/modules/examples/spear_phishing/sp_sender_sketch_aggregator.md
+++ b/docs/source/modules/examples/spear_phishing/sp_sender_sketch_aggregator.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_sender_sketch_query_constructor.md b/docs/source/modules/examples/spear_phishing/sp_sender_sketch_query_constructor.md
index 275039db67..1e00b3c219 100644
--- a/docs/source/modules/examples/spear_phishing/sp_sender_sketch_query_constructor.md
+++ b/docs/source/modules/examples/spear_phishing/sp_sender_sketch_query_constructor.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_sender_sketch_update.md b/docs/source/modules/examples/spear_phishing/sp_sender_sketch_update.md
index 3581558b94..ae90c2f402 100644
--- a/docs/source/modules/examples/spear_phishing/sp_sender_sketch_update.md
+++ b/docs/source/modules/examples/spear_phishing/sp_sender_sketch_update.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_spear_phishing_post_inference.md b/docs/source/modules/examples/spear_phishing/sp_spear_phishing_post_inference.md
index e4980d54a0..fcf786cf09 100644
--- a/docs/source/modules/examples/spear_phishing/sp_spear_phishing_post_inference.md
+++ b/docs/source/modules/examples/spear_phishing/sp_spear_phishing_post_inference.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/examples/spear_phishing/sp_spear_phishing_pre_inference.md b/docs/source/modules/examples/spear_phishing/sp_spear_phishing_pre_inference.md
index 35d91f521f..c946f3aad4 100644
--- a/docs/source/modules/examples/spear_phishing/sp_spear_phishing_pre_inference.md
+++ b/docs/source/modules/examples/spear_phishing/sp_spear_phishing_pre_inference.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/modules/index.md b/docs/source/modules/index.md
index d80fbe367a..bfad3da26f 100644
--- a/docs/source/modules/index.md
+++ b/docs/source/modules/index.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/py_api.rst b/docs/source/py_api.rst
index f37d9a359e..ce899441d9 100644
--- a/docs/source/py_api.rst
+++ b/docs/source/py_api.rst
@@ -1,5 +1,5 @@
 ..
-   SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+   SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
    SPDX-License-Identifier: Apache-2.0
 
    Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/sphinxext/github_link.py b/docs/source/sphinxext/github_link.py
index e047b3af42..459fdcf186 100644
--- a/docs/source/sphinxext/github_link.py
+++ b/docs/source/sphinxext/github_link.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/docs/source/stages/morpheus_stages.md b/docs/source/stages/morpheus_stages.md
index 19063abd2d..75970e7876 100644
--- a/docs/source/stages/morpheus_stages.md
+++ b/docs/source/stages/morpheus_stages.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
index 2b6fcaa7c2..d7632f3325 100644
--- a/examples/CMakeLists.txt
+++ b/examples/CMakeLists.txt
@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
@@ -13,7 +13,9 @@
 # =============================================================================
 list(APPEND CMAKE_MESSAGE_CONTEXT "examples")
 
-add_subdirectory(developer_guide/3_simple_cpp_stage)
-add_subdirectory(developer_guide/4_rabbitmq_cpp_stage)
+# Add the binary dir before including examples so they can find the parent project
+list(PREPEND CMAKE_PREFIX_PATH "${PROJECT_BINARY_DIR}")
+
+add_subdirectory(developer_guide)
 
 list(POP_BACK CMAKE_MESSAGE_CONTEXT)
diff --git a/examples/README.md b/examples/README.md
index c80d88ee9f..1c001ffebe 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/abp_nvsmi_detection/README.md b/examples/abp_nvsmi_detection/README.md
index ce63ec15c0..e92e5f0ed6 100644
--- a/examples/abp_nvsmi_detection/README.md
+++ b/examples/abp_nvsmi_detection/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -107,13 +107,12 @@ The following command line is the entire command to build and launch the pipelin
 
 From the  Morpheus repo root directory, run:
 ```bash
-export MORPHEUS_ROOT=$(pwd)
 # Launch Morpheus printing debug messages
 morpheus --log_level=DEBUG \
    `# Run a pipeline with 8 threads and a model batch size of 1024 (Must be equal or less than Triton config)` \
    run --num_threads=8 --pipeline_batch_size=1024 --model_max_batch_size=1024 \
    `# Specify a NLP pipeline with 256 sequence length (Must match Triton config)` \
-   pipeline-fil --columns_file=${MORPHEUS_ROOT}/morpheus/data/columns_fil.txt \
+   pipeline-fil --columns_file=data/columns_fil.txt \
    `# 1st Stage: Read from file` \
    from-file --filename=examples/data/nvsmi.jsonlines \
    `# 2nd Stage: Deserialize from JSON strings to objects` \
diff --git a/examples/abp_nvsmi_detection/nvsmi_data_extract.py b/examples/abp_nvsmi_detection/nvsmi_data_extract.py
index 03855cb88d..2d99c43efa 100644
--- a/examples/abp_nvsmi_detection/nvsmi_data_extract.py
+++ b/examples/abp_nvsmi_detection/nvsmi_data_extract.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,7 +21,7 @@
 from pynvml.smi import nvidia_smi
 
 
-def main():
+def main(args):
     query_opts = NVSMI_QUERY_GPU.copy()
 
     # Remove the timestamp and supported clocks from the query
@@ -68,6 +68,5 @@ def main():
     parser = argparse.ArgumentParser(description=__doc__)
     parser.add_argument('--interval-ms', default=1000, help='interval in ms between writes to output file')
     parser.add_argument("--output-file", default='nvsmi.jsonlines', help='output file to save dataset')
-    args = parser.parse_args()
 
-    main()
+    main(parser.parse_args())
diff --git a/examples/abp_pcap_detection/README.md b/examples/abp_pcap_detection/README.md
index fe27f5e70c..371bd28e35 100644
--- a/examples/abp_pcap_detection/README.md
+++ b/examples/abp_pcap_detection/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/abp_pcap_detection/abp_pcap_preprocessing.py b/examples/abp_pcap_detection/abp_pcap_preprocessing.py
index 4519c516f9..453dc2a419 100644
--- a/examples/abp_pcap_detection/abp_pcap_preprocessing.py
+++ b/examples/abp_pcap_detection/abp_pcap_preprocessing.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/abp_pcap_detection/run.py b/examples/abp_pcap_detection/run.py
index 6fb4a20473..405f9bde6e 100644
--- a/examples/abp_pcap_detection/run.py
+++ b/examples/abp_pcap_detection/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/1_simple_python_stage/pass_thru.py b/examples/developer_guide/1_simple_python_stage/pass_thru.py
index 0100284080..7e6a8e125c 100644
--- a/examples/developer_guide/1_simple_python_stage/pass_thru.py
+++ b/examples/developer_guide/1_simple_python_stage/pass_thru.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/1_simple_python_stage/pass_thru_deco.py b/examples/developer_guide/1_simple_python_stage/pass_thru_deco.py
index e10a3c75f6..da9c51fa9a 100644
--- a/examples/developer_guide/1_simple_python_stage/pass_thru_deco.py
+++ b/examples/developer_guide/1_simple_python_stage/pass_thru_deco.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/1_simple_python_stage/run.py b/examples/developer_guide/1_simple_python_stage/run.py
index 73d9616104..acb55ec7e4 100755
--- a/examples/developer_guide/1_simple_python_stage/run.py
+++ b/examples/developer_guide/1_simple_python_stage/run.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/2_1_real_world_phishing/recipient_features_stage.py b/examples/developer_guide/2_1_real_world_phishing/recipient_features_stage.py
index 1f46244895..bb789d83f6 100644
--- a/examples/developer_guide/2_1_real_world_phishing/recipient_features_stage.py
+++ b/examples/developer_guide/2_1_real_world_phishing/recipient_features_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/2_1_real_world_phishing/recipient_features_stage_deco.py b/examples/developer_guide/2_1_real_world_phishing/recipient_features_stage_deco.py
index ec0ab0a415..e40002da6a 100644
--- a/examples/developer_guide/2_1_real_world_phishing/recipient_features_stage_deco.py
+++ b/examples/developer_guide/2_1_real_world_phishing/recipient_features_stage_deco.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/2_1_real_world_phishing/run.py b/examples/developer_guide/2_1_real_world_phishing/run.py
index 3251b9689c..42963b58b7 100755
--- a/examples/developer_guide/2_1_real_world_phishing/run.py
+++ b/examples/developer_guide/2_1_real_world_phishing/run.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/2_2_rabbitmq/README.md b/examples/developer_guide/2_2_rabbitmq/README.md
index bff64752a0..b9ee797e46 100644
--- a/examples/developer_guide/2_2_rabbitmq/README.md
+++ b/examples/developer_guide/2_2_rabbitmq/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage.py b/examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage.py
index 1479626507..cc33bbe90c 100644
--- a/examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage.py
+++ b/examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage_deco.py b/examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage_deco.py
index 3f7dfab0d0..39d7883188 100644
--- a/examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage_deco.py
+++ b/examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage_deco.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/2_2_rabbitmq/read_simple.py b/examples/developer_guide/2_2_rabbitmq/read_simple.py
index 14705dbe1e..5de5569270 100755
--- a/examples/developer_guide/2_2_rabbitmq/read_simple.py
+++ b/examples/developer_guide/2_2_rabbitmq/read_simple.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/2_2_rabbitmq/write_simple.py b/examples/developer_guide/2_2_rabbitmq/write_simple.py
index 239f205350..5f70f63dd5 100755
--- a/examples/developer_guide/2_2_rabbitmq/write_simple.py
+++ b/examples/developer_guide/2_2_rabbitmq/write_simple.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/2_2_rabbitmq/write_to_rabbitmq_stage.py b/examples/developer_guide/2_2_rabbitmq/write_to_rabbitmq_stage.py
index 3516580bda..401d8b785e 100644
--- a/examples/developer_guide/2_2_rabbitmq/write_to_rabbitmq_stage.py
+++ b/examples/developer_guide/2_2_rabbitmq/write_to_rabbitmq_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/3_simple_cpp_stage/.gitattributes b/examples/developer_guide/3_simple_cpp_stage/.gitattributes
new file mode 100644
index 0000000000..6402a165ec
--- /dev/null
+++ b/examples/developer_guide/3_simple_cpp_stage/.gitattributes
@@ -0,0 +1 @@
+src/simple_cpp_stage/_version.py export-subst
diff --git a/examples/developer_guide/3_simple_cpp_stage/CMakeLists.txt b/examples/developer_guide/3_simple_cpp_stage/CMakeLists.txt
index 83dbbbe269..5d2459d295 100644
--- a/examples/developer_guide/3_simple_cpp_stage/CMakeLists.txt
+++ b/examples/developer_guide/3_simple_cpp_stage/CMakeLists.txt
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,52 +13,61 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-list(APPEND CMAKE_MESSAGE_CONTEXT "simple_cpp_stage")
+cmake_minimum_required(VERSION 3.25 FATAL_ERROR)
 
-set(Python3_FIND_VIRTUALENV "FIRST")
-set(Python3_FIND_STRATEGY "LOCATION")
-find_package(Python3 REQUIRED COMPONENTS Development Interpreter NumPy)
+list(APPEND CMAKE_MESSAGE_CONTEXT "3_simple_cpp_stage")
 
-pybind11_add_module(morpheus_example MODULE "${CMAKE_CURRENT_SOURCE_DIR}/_lib/pass_thru.cpp")
+# Set the cache to be the same to allow for CCache to be used effectively
+set(MORPHEUS_CACHE_DIR "${CMAKE_SOURCE_DIR}/.cache" CACHE PATH "Directory to contain all CPM and CCache data")
+mark_as_advanced(MORPHEUS_CACHE_DIR)
 
-add_library(${PROJECT_NAME}::morpheus_example ALIAS morpheus_example)
+# Add the Conda environment to the prefix path and add the CMake files
+list(PREPEND CMAKE_PREFIX_PATH "$ENV{CONDA_PREFIX}")
 
-target_link_libraries(morpheus_example
-    PUBLIC
-      morpheus
-      mrc::pymrc
+project(3_simple_cpp_stage
+  VERSION 24.03.00
+  LANGUAGES C CXX
 )
 
-target_include_directories(morpheus_example
-    PUBLIC
-      $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}>
-      $<BUILD_INTERFACE:${MORPHEUS_ROOT}/morpheus/_lib/include>
+set(CMAKE_CXX_STANDARD 20)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+set(CMAKE_CXX_EXTENSIONS ON)
+set(CMAKE_POSITION_INDEPENDENT_CODE TRUE)
+set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
+set(CMAKE_INSTALL_RPATH "$ORIGIN")
+
+# Set the option prefix to match the outer project before including. Must be before find_package(morpheus)
+set(OPTION_PREFIX "MORPHEUS")
+find_package(morpheus REQUIRED)
+
+morpheus_utils_initialize_cpm(MORPHEUS_CACHE_DIR)
+
+# Ensure CPM is initialized
+rapids_cpm_init()
+
+morpheus_utils_python_configure()
+
+rapids_find_package(CUDAToolkit REQUIRED)
+
+set(CMAKE_POSITION_INDEPENDENT_CODE TRUE)
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+
+morpheus_utils_create_python_package(simple_cpp_stage
+  PROJECT_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}"
+  SOURCE_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/src"
 )
 
-set_target_properties(morpheus_example PROPERTIES CXX_VISIBILITY_PRESET hidden)
+add_subdirectory(src/simple_cpp_stage/_lib)
 
+# Complete the python package
 if(MORPHEUS_PYTHON_INPLACE_BUILD)
-  set_target_properties(morpheus_example
-    PROPERTIES
-      INSTALL_RPATH "${PROJECT_SOURCE_DIR}/morpheus/_lib"
-  )
-else()
-  # TODO: https://github.com/nv-morpheus/Morpheus/issues/331
-  set_target_properties(morpheus_example
-    PROPERTIES
-      INSTALL_RPATH "${Python3_SITELIB}/morpheus/_lib"
-  )
+  list(APPEND extra_args "IS_INPLACE")
 endif()
 
-morpheus_utils_inplace_build_copy(morpheus_example "${CMAKE_CURRENT_SOURCE_DIR}/_lib")
-
-message(STATUS " Install dest: (morpheus_example) ${CMAKE_CURRENT_BINARY_DIR}/_lib")
-install(
-    TARGETS
-    morpheus_example
-    LIBRARY DESTINATION
-      "${CMAKE_CURRENT_BINARY_DIR}/_lib"
-)
+if(TARGET morpheus-package-install)
+  list(APPEND extra_args "PYTHON_DEPENDENCIES" "morpheus-package-install")
+endif()
 
+morpheus_utils_build_python_package(simple_cpp_stage ${extra_args})
 
 list(POP_BACK CMAKE_MESSAGE_CONTEXT)
diff --git a/examples/developer_guide/3_simple_cpp_stage/MANIFEST.in b/examples/developer_guide/3_simple_cpp_stage/MANIFEST.in
new file mode 100644
index 0000000000..6f3094ee52
--- /dev/null
+++ b/examples/developer_guide/3_simple_cpp_stage/MANIFEST.in
@@ -0,0 +1,2 @@
+include src/simple_cpp_stage/_version.py
+recursive-include src *.so *.pyi
diff --git a/examples/developer_guide/3_simple_cpp_stage/compile.sh b/examples/developer_guide/3_simple_cpp_stage/compile.sh
new file mode 100755
index 0000000000..41c4640a49
--- /dev/null
+++ b/examples/developer_guide/3_simple_cpp_stage/compile.sh
@@ -0,0 +1,31 @@
+#!/bin/bash
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+set -x
+set -e
+
+# Optionally can set INSTALL_PREFIX to build and install to a specific directory. Also causes cmake install to run
+BUILD_DIR=${BUILD_DIR:-"build"}
+
+echo "Runing CMake configure..."
+cmake -B ${BUILD_DIR} -GNinja \
+   -DCMAKE_MESSAGE_CONTEXT_SHOW=ON \
+   -DMORPHEUS_PYTHON_INPLACE_BUILD:BOOL=ON \
+   -DMORPHEUS_PYTHON_PERFORM_INSTALL:BOOL=ON `# Ensure all of the libraries are installed` \
+   ${CMAKE_CONFIGURE_EXTRA_ARGS:+CMAKE_CONFIGURE_EXTRA_ARGS} .
+
+echo "Running CMake build..."
+cmake --build ${BUILD_DIR} -j "$@"
diff --git a/models/training-tuning-scripts/dfp-models/requirements.yml b/examples/developer_guide/3_simple_cpp_stage/pyproject.toml
similarity index 51%
rename from models/training-tuning-scripts/dfp-models/requirements.yml
rename to examples/developer_guide/3_simple_cpp_stage/pyproject.toml
index c7f5423ae8..1ad4dec9eb 100644
--- a/models/training-tuning-scripts/dfp-models/requirements.yml
+++ b/examples/developer_guide/3_simple_cpp_stage/pyproject.toml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,18 +13,21 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-channels:
-  - nvidia
-  - pytorch
-  - conda-forge
-  - defaults
-dependencies:
-  - dill
-  - jupyterlab
-  - matplotlib
-  - pandas=1.3
-  - python=3.10
-  - pytorch-cuda=11.8
-  - pytorch=2.0.1
-  - scikit-learn=1.2.2
-  - seaborn
+[build-system]
+build-backend = "setuptools.build_meta"
+requires = ["setuptools", "wheel", "versioneer[toml]==0.29"]
+
+[tool.versioneer]
+# See the docstring in versioneer.py for instructions. Note that you must
+# re-run 'versioneer setup' after changing this section, and commit the
+# resulting files.
+VCS = "git"
+style = "pep440"
+tag_prefix = "v"
+versionfile_build = "src/simple_cpp_stage/_version.py"
+versionfile_source = "src/simple_cpp_stage/_version.py"
+
+[tool.yapfignore]
+ignore_patterns = [
+  "**/_version.py",
+]
diff --git a/examples/developer_guide/3_simple_cpp_stage/setup.cfg b/examples/developer_guide/3_simple_cpp_stage/setup.cfg
new file mode 100644
index 0000000000..e6a7282416
--- /dev/null
+++ b/examples/developer_guide/3_simple_cpp_stage/setup.cfg
@@ -0,0 +1,35 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+[metadata]
+name = simple_cpp_stage
+version = attr: versioneer.get_version
+description = Morpheus Example - Pass Thru C++ Stage
+author = NVIDIA Corporation
+license = Apache
+classifiers =
+    Intended Audience :: Developers
+    Programming Language :: Python
+    Programming Language :: Python :: 3.10
+
+[options]
+zip_safe = False
+include_package_data = True
+packages = find:
+package_dir =
+    =src
+
+[options.packages.find]
+where = src
diff --git a/examples/developer_guide/3_simple_cpp_stage/setup.py b/examples/developer_guide/3_simple_cpp_stage/setup.py
new file mode 100644
index 0000000000..0e0fce75d5
--- /dev/null
+++ b/examples/developer_guide/3_simple_cpp_stage/setup.py
@@ -0,0 +1,16 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from setuptools import setup
+
+setup()
diff --git a/examples/developer_guide/3_simple_cpp_stage/run.py b/examples/developer_guide/3_simple_cpp_stage/src/run.py
similarity index 94%
rename from examples/developer_guide/3_simple_cpp_stage/run.py
rename to examples/developer_guide/3_simple_cpp_stage/src/run.py
index d60ee264ed..9f00ff00a2 100755
--- a/examples/developer_guide/3_simple_cpp_stage/run.py
+++ b/examples/developer_guide/3_simple_cpp_stage/src/run.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,7 +17,7 @@
 import logging
 import os
 
-from pass_thru import PassThruStage
+from simple_cpp_stage.pass_thru import PassThruStage
 
 from morpheus.config import Config
 from morpheus.pipeline import LinearPipeline
diff --git a/models/training-tuning-scripts/ransomware-models/requirements.yml b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/__init__.py
similarity index 68%
rename from models/training-tuning-scripts/ransomware-models/requirements.yml
rename to examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/__init__.py
index 5524db13e7..9614ddb8cd 100644
--- a/models/training-tuning-scripts/ransomware-models/requirements.yml
+++ b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/__init__.py
@@ -1,11 +1,12 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#!/usr/bin/env python3
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
-# http://www.apache.org/licenses/LICENSE-2.0
+#     http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
@@ -13,13 +14,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-channels:
-  - conda-forge
-  - defaults
-dependencies:
-  - jupyterlab
-  - matplotlib
-  - pandas=1.3
-  - python=3.10
-  - scikit-learn=1.2.2
-  - seaborn
+from . import _version  # pylint: disable=wrong-import-position
+
+__version__ = _version.get_versions()['version']
diff --git a/docs/conda_docs.yml b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/CMakeLists.txt
similarity index 65%
rename from docs/conda_docs.yml
rename to examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/CMakeLists.txt
index 1fa3ac2a37..55f9082d4c 100644
--- a/docs/conda_docs.yml
+++ b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/CMakeLists.txt
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,15 +13,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-name: morpheus
-channels:
-  - conda-forge
-dependencies:
-  - breathe=4.34.0
-  - doxygen=1.9.2
-  - exhale=0.3.6
-  - ipython
-  - myst-parser=0.17.2
-  - nbsphinx
-  - sphinx
-  - sphinx_rtd_theme
+list(APPEND CMAKE_MESSAGE_CONTEXT "pass_thru_cpp_stage")
+
+morpheus_add_pybind11_module(pass_thru_cpp
+  SOURCE_FILES
+    "pass_thru.cpp"
+  INCLUDE_DIRS
+    $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}>
+  LINK_TARGETS
+    morpheus
+)
+
+list(POP_BACK CMAKE_MESSAGE_CONTEXT)
diff --git a/examples/developer_guide/3_simple_cpp_stage/_lib/__init__.py b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/__init__.py
similarity index 100%
rename from examples/developer_guide/3_simple_cpp_stage/_lib/__init__.py
rename to examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/__init__.py
diff --git a/examples/developer_guide/3_simple_cpp_stage/_lib/pass_thru.cpp b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru.cpp
similarity index 77%
rename from examples/developer_guide/3_simple_cpp_stage/_lib/pass_thru.cpp
rename to examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru.cpp
index 78fa64ccad..3d3c824870 100644
--- a/examples/developer_guide/3_simple_cpp_stage/_lib/pass_thru.cpp
+++ b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru.cpp
@@ -1,5 +1,5 @@
 /**
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,10 +17,13 @@
 
 #include "pass_thru.hpp"
 
+#include <morpheus/messages/multi.hpp>
+#include <pybind11/attr.h>
 #include <pybind11/pybind11.h>
 #include <pymrc/utils.hpp>  // for pymrc::import
 
 #include <exception>
+#include <utility>
 
 namespace morpheus_example {
 
@@ -29,10 +32,16 @@ PassThruStage::PassThruStage() : PythonNode(base_t::op_factory_from_sub_fn(build
 PassThruStage::subscribe_fn_t PassThruStage::build_operator()
 {
     return [this](rxcpp::observable<sink_type_t> input, rxcpp::subscriber<source_type_t> output) {
-        return input.subscribe(
-            rxcpp::make_observer<sink_type_t>([this, &output](sink_type_t x) { output.on_next(std::move(x)); },
-                                              [&](std::exception_ptr error_ptr) { output.on_error(error_ptr); },
-                                              [&]() { output.on_completed(); }));
+        return input.subscribe(rxcpp::make_observer<sink_type_t>(
+            [this, &output](sink_type_t x) {
+                output.on_next(std::move(x));
+            },
+            [&](std::exception_ptr error_ptr) {
+                output.on_error(error_ptr);
+            },
+            [&]() {
+                output.on_completed();
+            }));
     };
 }
 
@@ -45,7 +54,7 @@ std::shared_ptr<mrc::segment::Object<PassThruStage>> PassThruStageInterfaceProxy
 namespace py = pybind11;
 
 // Define the pybind11 module m.
-PYBIND11_MODULE(morpheus_example, m)
+PYBIND11_MODULE(pass_thru_cpp, m)
 {
     mrc::pymrc::import(m, "morpheus._lib.messages");
 
diff --git a/examples/developer_guide/3_simple_cpp_stage/_lib/pass_thru.hpp b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru.hpp
similarity index 89%
rename from examples/developer_guide/3_simple_cpp_stage/_lib/pass_thru.hpp
rename to examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru.hpp
index 12db26362f..a4be293fcb 100644
--- a/examples/developer_guide/3_simple_cpp_stage/_lib/pass_thru.hpp
+++ b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru.hpp
@@ -1,5 +1,5 @@
 /**
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,9 +21,14 @@
 #include <mrc/segment/builder.hpp>      // for Segment Builder
 #include <mrc/segment/object.hpp>       // for Segment Object
 #include <pymrc/node.hpp>               // for PythonNode
+#include <rxcpp/rx.hpp>
 
 #include <memory>
 #include <string>
+#include <thread>
+
+// IWYU pragma: no_include "morpheus/objects/data_table.hpp"
+// IWYU pragma: no_include <boost/fiber/context.hpp>
 
 namespace morpheus_example {
 
diff --git a/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru_cpp/__init__.pyi b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru_cpp/__init__.pyi
new file mode 100644
index 0000000000..566d38fa38
--- /dev/null
+++ b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_lib/pass_thru_cpp/__init__.pyi
@@ -0,0 +1,14 @@
+from __future__ import annotations
+import src.simple_cpp_stage._lib.pass_thru_cpp
+import typing
+import morpheus._lib.messages
+import mrc.core.segment
+
+__all__ = [
+    "PassThruStage"
+]
+
+
+class PassThruStage(mrc.core.segment.SegmentObject):
+    def __init__(self, builder: mrc.core.segment.Builder, name: str) -> None: ...
+    pass
diff --git a/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_version.py b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_version.py
new file mode 100644
index 0000000000..37b3a073b6
--- /dev/null
+++ b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/_version.py
@@ -0,0 +1,683 @@
+
+# This file helps to compute a version number in source trees obtained from
+# git-archive tarball (such as those provided by githubs download-from-tag
+# feature). Distribution tarballs (built by setup.py sdist) and build
+# directories (produced by setup.py build) will contain a much shorter file
+# that just contains the computed version number.
+
+# This file is released into the public domain.
+# Generated by versioneer-0.29
+# https://github.com/python-versioneer/python-versioneer
+
+"""Git implementation of _version.py."""
+
+import errno
+import os
+import re
+import subprocess
+import sys
+from typing import Any, Callable, Dict, List, Optional, Tuple
+import functools
+
+
+def get_keywords() -> Dict[str, str]:
+    """Get the keywords needed to look up the version information."""
+    # these strings will be replaced by git during git-archive.
+    # setup.py/versioneer.py will grep for the variable names, so they must
+    # each be defined on a line of their own. _version.py will just call
+    # get_keywords().
+    git_refnames = "$Format:%d$"
+    git_full = "$Format:%H$"
+    git_date = "$Format:%ci$"
+    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
+    return keywords
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+    VCS: str
+    style: str
+    tag_prefix: str
+    parentdir_prefix: str
+    versionfile_source: str
+    verbose: bool
+
+
+def get_config() -> VersioneerConfig:
+    """Create, populate and return the VersioneerConfig() object."""
+    # these strings are filled in when 'setup.py versioneer' creates
+    # _version.py
+    cfg = VersioneerConfig()
+    cfg.VCS = "git"
+    cfg.style = "pep440"
+    cfg.tag_prefix = "v"
+    cfg.parentdir_prefix = "None"
+    cfg.versionfile_source = "src/simple_cpp_stage/_version.py"
+    cfg.verbose = False
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
+
+
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
+        try:
+            dispcmd = str([command] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
+            break
+        except OSError as e:
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %s" % dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %s" % (commands,))
+        return None, None
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
+        if verbose:
+            print("unable to run %s (error)" % dispcmd)
+            print("stdout was %s" % stdout)
+        return None, process.returncode
+    return stdout, process.returncode
+
+
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for _ in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords: Dict[str, str] = {}
+    try:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
+    """Get version information from git keywords."""
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
+    date = keywords.get("date")
+    if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
+        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = {r for r in refs if re.search(r'\d', r)}
+        if verbose:
+            print("discarding '%s', no digits" % ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %s" % ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g. "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
+            if verbose:
+                print("picking %s" % r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
+    if rc != 0:
+        if verbose:
+            print("Directory %s not under git control" % root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces: Dict[str, Any] = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparsable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%s' doesn't start with prefix '%s'"
+                print(fmt % (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces: Dict[str, Any]) -> str:
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
+
+    Exceptions:
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        if pieces["distance"]:
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%d" % (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
+    else:
+        # exception #1
+        rendered = "0.post0.dev%d" % pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+    return rendered
+
+
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces: Dict[str, Any]) -> str:
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%s'" % style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+def get_versions() -> Dict[str, Any]:
+    """Get version information or return default if unable to do so."""
+    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
+    # __file__, we can work backwards from there to the root. Some
+    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
+    # case we can only use expanded keywords.
+
+    cfg = get_config()
+    verbose = cfg.verbose
+
+    try:
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
+    except NotThisMethod:
+        pass
+
+    try:
+        root = os.path.realpath(__file__)
+        # versionfile_source is the relative path from the top of the source
+        # tree (where the .git directory might live) to this file. Invert
+        # this to find the root from __file__.
+        for _ in cfg.versionfile_source.split('/'):
+            root = os.path.dirname(root)
+    except NameError:
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
+
+    try:
+        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
+        return render(pieces, cfg.style)
+    except NotThisMethod:
+        pass
+
+    try:
+        if cfg.parentdir_prefix:
+            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+    except NotThisMethod:
+        pass
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}
diff --git a/examples/developer_guide/3_simple_cpp_stage/pass_thru.py b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/pass_thru.py
similarity index 88%
rename from examples/developer_guide/3_simple_cpp_stage/pass_thru.py
rename to examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/pass_thru.py
index 22f246fbcc..3d22d25b8a 100644
--- a/examples/developer_guide/3_simple_cpp_stage/pass_thru.py
+++ b/examples/developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/pass_thru.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -53,10 +53,9 @@ def on_data(self, message: typing.Any):
 
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
         if self._build_cpp_node() and issubclass(self._input_type, MultiMessage):
-            from _lib import morpheus_example as morpheus_example_cpp
+            from ._lib import pass_thru_cpp
 
-            # pylint: disable=c-extension-no-member
-            node = morpheus_example_cpp.PassThruStage(builder, self.unique_name)
+            node = pass_thru_cpp.PassThruStage(builder, self.unique_name)
         else:
             node = builder.make_node(self.unique_name, ops.map(self.on_data))
 
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/.gitattributes b/examples/developer_guide/4_rabbitmq_cpp_stage/.gitattributes
new file mode 100644
index 0000000000..f6976a3c01
--- /dev/null
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/.gitattributes
@@ -0,0 +1 @@
+src/rabbitmq_cpp_stage/_version.py export-subst
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/CMakeLists.txt b/examples/developer_guide/4_rabbitmq_cpp_stage/CMakeLists.txt
index 8d2d965126..f741797a34 100644
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/CMakeLists.txt
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/CMakeLists.txt
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,59 +13,58 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-list(APPEND CMAKE_MESSAGE_CONTEXT "morpheus_rabbit")
+cmake_minimum_required(VERSION 3.25 FATAL_ERROR)
 
+list(APPEND CMAKE_MESSAGE_CONTEXT "4_rabbitmq_cpp_stage")
+
+# Set the cache to be the same to allow for CCache to be used effectively
+set(MORPHEUS_CACHE_DIR "${CMAKE_SOURCE_DIR}/.cache" CACHE PATH "Directory to contain all CPM and CCache data")
+mark_as_advanced(MORPHEUS_CACHE_DIR)
+
+# Add the Conda environment to the prefix path and add the CMake files
+list(PREPEND CMAKE_PREFIX_PATH "$ENV{CONDA_PREFIX}")
 list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
 
-set(Python3_FIND_VIRTUALENV "FIRST")
-set(Python3_FIND_STRATEGY "LOCATION")
-find_package(Python3 REQUIRED COMPONENTS Development Interpreter NumPy)
+project(4_rabbitmq_cpp_stage
+  VERSION 24.03.00
+  LANGUAGES C CXX
+)
 
-include(cmake/dependencies.cmake)
+set(CMAKE_CXX_STANDARD 20)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+set(CMAKE_CXX_EXTENSIONS ON)
+set(CMAKE_POSITION_INDEPENDENT_CODE TRUE)
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
 
-pybind11_add_module(morpheus_rabbit MODULE "${CMAKE_CURRENT_SOURCE_DIR}/_lib/rabbitmq_source.cpp")
+# Set the option prefix to match the outer project before including. Must be before find_package(morpheus)
+set(OPTION_PREFIX "MORPHEUS")
+find_package(morpheus REQUIRED)
 
-add_library(${PROJECT_NAME}::morpheus_rabbit ALIAS morpheus_rabbit)
+morpheus_utils_initialize_cpm(MORPHEUS_CACHE_DIR)
 
-target_link_libraries(morpheus_rabbit
-    PUBLIC
-      morpheus
-      rabbitmq
-      SimpleAmqpClient
-      mrc::pymrc
-)
+# Ensure CPM is initialized
+rapids_cpm_init()
 
-target_include_directories(morpheus_rabbit
-    PUBLIC
-      $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}>
-      $<BUILD_INTERFACE:${MORPHEUS_ROOT}/morpheus/_lib/include>
-      rabbitmq
-      ${SimpleAmqpClient_SOURCE_DIR}/src
+morpheus_utils_python_configure()
+
+include(cmake/dependencies.cmake)
+
+morpheus_utils_create_python_package(morpheus_rabbit
+  PROJECT_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}"
+  SOURCE_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/src"
 )
 
-set_target_properties(morpheus_rabbit PROPERTIES CXX_VISIBILITY_PRESET hidden)
+add_subdirectory(src/rabbitmq_cpp_stage/_lib)
 
+# Complete the python package
 if(MORPHEUS_PYTHON_INPLACE_BUILD)
-  set_target_properties(morpheus_rabbit
-    PROPERTIES
-      INSTALL_RPATH "${PROJECT_SOURCE_DIR}/morpheus/_lib"
-  )
-else()
-  # TODO: https://github.com/nv-morpheus/Morpheus/issues/331
-  set_target_properties(morpheus_rabbit
-    PROPERTIES
-      INSTALL_RPATH "${Python3_SITELIB}/morpheus/_lib"
-  )
+  list(APPEND extra_args "IS_INPLACE")
 endif()
 
-morpheus_utils_inplace_build_copy(morpheus_rabbit "${CMAKE_CURRENT_SOURCE_DIR}/_lib")
+if(TARGET morpheus-package-install)
+  list(APPEND extra_args "PYTHON_DEPENDENCIES" "morpheus-package-install")
+endif()
 
-message(STATUS " Install dest: (morpheus_rabbit) ${CMAKE_CURRENT_BINARY_DIR}/_lib")
-install(
-    TARGETS
-    morpheus_rabbit
-    LIBRARY DESTINATION
-      "${CMAKE_CURRENT_BINARY_DIR}/_lib"
-)
+morpheus_utils_build_python_package(morpheus_rabbit ${extra_args})
 
 list(POP_BACK CMAKE_MESSAGE_CONTEXT)
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/MANIFEST.in b/examples/developer_guide/4_rabbitmq_cpp_stage/MANIFEST.in
new file mode 100644
index 0000000000..78b93bc2d2
--- /dev/null
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/MANIFEST.in
@@ -0,0 +1,2 @@
+include src/rabbitmq_cpp_stage/_version.py
+recursive-include src *.so *.pyi
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/README.md b/examples/developer_guide/4_rabbitmq_cpp_stage/README.md
index eb646e9209..2e3319b65e 100644
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/README.md
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,10 +16,31 @@ limitations under the License.
 -->
 
 # Example RabbitMQ stages
-This example builds upon the `examples/developer_guide/2_2_rabbitmq` example adding a C++ implementation for the `RabbitMQSourceStage`.
+This example builds upon the `examples/developer_guide/2_2_rabbitmq` example adding a C++ implementation for the `RabbitMQSourceStage` along with adding package install scripts.
 
 This example adds two flags to the `read_simple.py` script. A `--use_cpp` flag which defaults to `True` and a `--num_threads` flag which defaults to the number of cores on the system as returned by `os.cpu_count()`.
 
+## Installing Pika
+The `RabbitMQSourceStage` and `WriteToRabbitMQStage` stages use the [pika](https://pika.readthedocs.io/en/stable/#) RabbitMQ client for Python. To install this into the current env run:
+```bash
+pip install -r examples/developer_guide/4_rabbitmq_cpp_stage/requirements.txt
+```
+
+## Building the Example
+There are two ways to build the example. The first is to build the examples along with Morpheus by passing the `-DMORPHEUS_BUILD_EXAMPLES=ON` flag to cmake, for users using the `scripts/compile.sh` at the root of the Morpheus repo can do this by setting the `CMAKE_CONFIGURE_EXTRA_ARGS` environment variable:
+```bash
+CMAKE_CONFIGURE_EXTRA_ARGS="-DMORPHEUS_BUILD_EXAMPLES=ON" ./scripts/compile.sh
+```
+
+The second is to build the example as a standalone project. From the root of the Morpheus repo execute:
+```bash
+cd examples/developer_guide/4_rabbitmq_cpp_stage
+./compile.sh
+
+# Optionally install the package into the current python environment
+pip install ./
+```
+
 ## Testing with a RabbitMQ container
 Testing can be performed locally with the RabbitMQ supplied docker image from the [RabbitMQ container registry](https://registry.hub.docker.com/_/rabbitmq/):
 ```bash
@@ -31,7 +52,7 @@ The image can be verified with the web management console by opening http://loca
 ## Launch the reader
 In a second terminal from the root of the Morpheus repo execute:
 ```bash
-python examples/developer_guide/4_rabbitmq_cpp_stage/read_simple.py
+python examples/developer_guide/4_rabbitmq_cpp_stage/src/read_simple.py
 ```
 
 This will read from a RabbitMQ exchange named 'logs', and write the results to `/tmp/results.json`.
@@ -41,7 +62,7 @@ If no exchange named 'logs' exists in RabbitMQ it will be created.
 ## Launch the writer
 In a third terminal from the root of the Morpheus repo execute:
 ```bash
-python examples/developer_guide/4_rabbitmq_cpp_stage/write_simple.py
+python examples/developer_guide/4_rabbitmq_cpp_stage/src/write_simple.py
 ```
 
 This will read JSON data from the `examples/data/email.jsonlines` file and publish the data into the 'logs' RabbitMQ exchange as a single message.
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/Configure_SimpleAmqpClient.cmake b/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/Configure_SimpleAmqpClient.cmake
index 7aa248e8e1..172f2a409f 100644
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/Configure_SimpleAmqpClient.cmake
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/Configure_SimpleAmqpClient.cmake
@@ -1,5 +1,5 @@
 #=============================================================================
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,10 +25,11 @@ function(find_and_configure_SimpleAmqpClient version)
     GLOBAL_TARGETS
       SimpleAmqpClient
     BUILD_EXPORT_SET
-      ${PROJECT_NAME}-exports
+      ${PROJECT_NAME}-core-exports
     INSTALL_EXPORT_SET
-      ${PROJECT_NAME}-exports
+      ${PROJECT_NAME}-core-exports
     CPM_ARGS
+      PATCH_COMMAND git checkout -- . && git apply --whitespace=fix ${CMAKE_CURRENT_FUNCTION_LIST_DIR}/patches/simpleamqpclient_cpp_version.patch
       GIT_REPOSITORY  https://github.com/alanxz/SimpleAmqpClient
       GIT_TAG         "v${version}"
       GIT_SHALLOW     TRUE
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/Configure_rabbitmq.cmake b/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/Configure_rabbitmq.cmake
index a1534f2e46..ecbcc2b0ed 100644
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/Configure_rabbitmq.cmake
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/Configure_rabbitmq.cmake
@@ -1,5 +1,5 @@
 #=============================================================================
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -26,9 +26,9 @@ function(find_and_configure_rabbitmq version)
     GLOBAL_TARGETS
       rabbitmq rabbitmq::rabbitmq
     BUILD_EXPORT_SET
-      ${PROJECT_NAME}-exports
+      ${PROJECT_NAME}-core-exports
     INSTALL_EXPORT_SET
-      ${PROJECT_NAME}-exports
+      ${PROJECT_NAME}-core-exports
     CPM_ARGS
       GIT_REPOSITORY  https://github.com/alanxz/rabbitmq-c
       GIT_SHALLOW     TRUE
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/dependencies.cmake b/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/dependencies.cmake
index fa24f87b2e..56a692f7b4 100644
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/dependencies.cmake
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/dependencies.cmake
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,6 +15,8 @@
 
 list(APPEND CMAKE_MESSAGE_CONTEXT "dep")
 
+rapids_find_package(CUDAToolkit REQUIRED)
+
 set(RABBITMQ_VERSION "0.12.0" CACHE STRING "Version of RabbitMQ-C to use")
 include(Configure_rabbitmq)
 
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/patches/simpleamqpclient_cpp_version.patch b/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/patches/simpleamqpclient_cpp_version.patch
new file mode 100644
index 0000000000..0a94dee8eb
--- /dev/null
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/cmake/patches/simpleamqpclient_cpp_version.patch
@@ -0,0 +1,13 @@
+diff --git a/CMakeLists.txt b/CMakeLists.txt
+index efefbfc..47f2040 100644
+--- a/CMakeLists.txt
++++ b/CMakeLists.txt
+@@ -7,7 +7,7 @@ cmake_minimum_required(VERSION 3.5)
+ 
+ project(SimpleAmqpClient LANGUAGES CXX)
+ 
+-set(CMAKE_CXX_STANDARD 98)
++set(CMAKE_CXX_STANDARD 20)
+ set(CMAKE_CXX_STANDARD_REQUIRED ON)
+ set(CMAKE_CXX_EXTENSIONS OFF)
+ 
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/compile.sh b/examples/developer_guide/4_rabbitmq_cpp_stage/compile.sh
new file mode 100755
index 0000000000..41c4640a49
--- /dev/null
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/compile.sh
@@ -0,0 +1,31 @@
+#!/bin/bash
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+set -x
+set -e
+
+# Optionally can set INSTALL_PREFIX to build and install to a specific directory. Also causes cmake install to run
+BUILD_DIR=${BUILD_DIR:-"build"}
+
+echo "Runing CMake configure..."
+cmake -B ${BUILD_DIR} -GNinja \
+   -DCMAKE_MESSAGE_CONTEXT_SHOW=ON \
+   -DMORPHEUS_PYTHON_INPLACE_BUILD:BOOL=ON \
+   -DMORPHEUS_PYTHON_PERFORM_INSTALL:BOOL=ON `# Ensure all of the libraries are installed` \
+   ${CMAKE_CONFIGURE_EXTRA_ARGS:+CMAKE_CONFIGURE_EXTRA_ARGS} .
+
+echo "Running CMake build..."
+cmake --build ${BUILD_DIR} -j "$@"
diff --git a/models/training-tuning-scripts/fraud-detection-models/requirements.yml b/examples/developer_guide/4_rabbitmq_cpp_stage/pyproject.toml
similarity index 51%
rename from models/training-tuning-scripts/fraud-detection-models/requirements.yml
rename to examples/developer_guide/4_rabbitmq_cpp_stage/pyproject.toml
index 5714a666e7..ad85e7c003 100644
--- a/models/training-tuning-scripts/fraud-detection-models/requirements.yml
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/pyproject.toml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,21 +13,21 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-channels:
-  - rapidsai
-  - nvidia
-  - dglteam/label/cu118
-  - pytorch
-  - conda-forge
-  - defaults
-dependencies:
-  - click>=8
-  - cuml=23.06
-  - dgl
-  - jupyterlab
-  - pytorch-cuda=11.8
-  - pytorch=2.0.1
-  - scikit-learn=1.2.2
-  - tqdm=4
-  - torchmetrics
-  - xgboost
+[build-system]
+build-backend = "setuptools.build_meta"
+requires = ["setuptools", "wheel", "versioneer[toml]==0.29"]
+
+[tool.versioneer]
+# See the docstring in versioneer.py for instructions. Note that you must
+# re-run 'versioneer setup' after changing this section, and commit the
+# resulting files.
+VCS = "git"
+style = "pep440"
+tag_prefix = "v"
+versionfile_build = "src/rabbitmq_cpp_stage/_version.py"
+versionfile_source = "src/rabbitmq_cpp_stage/_version.py"
+
+[tool.yapfignore]
+ignore_patterns = [
+  "**/_version.py",
+]
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/setup.cfg b/examples/developer_guide/4_rabbitmq_cpp_stage/setup.cfg
new file mode 100644
index 0000000000..9f6be7db1a
--- /dev/null
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/setup.cfg
@@ -0,0 +1,38 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+[metadata]
+name = rabbitmq_cpp_stage
+version = attr: versioneer.get_version
+description = Morpheus Example - RabbitMQ C++ Stage
+author = NVIDIA Corporation
+license = Apache
+classifiers =
+    Intended Audience :: Developers
+    Programming Language :: Python
+    Programming Language :: Python :: 3.10
+
+[options]
+zip_safe = False
+include_package_data = True
+packages = find:
+package_dir =
+    =src
+python_requires = >=3.10
+install_requires =
+    pika ==1.2.0
+
+[options.packages.find]
+where = src
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/setup.py b/examples/developer_guide/4_rabbitmq_cpp_stage/setup.py
new file mode 100644
index 0000000000..0e0fce75d5
--- /dev/null
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/setup.py
@@ -0,0 +1,16 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from setuptools import setup
+
+setup()
diff --git a/models/training-tuning-scripts/abp-models/requirements.yml b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/__init__.py
similarity index 68%
rename from models/training-tuning-scripts/abp-models/requirements.yml
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/__init__.py
index 8bc65d6f54..acc168b4e5 100644
--- a/models/training-tuning-scripts/abp-models/requirements.yml
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/__init__.py
@@ -1,11 +1,12 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#!/usr/bin/env python3
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
-# http://www.apache.org/licenses/LICENSE-2.0
+#     http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
@@ -13,14 +14,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-channels:
-  - rapidsai
-  - nvidia
-  - conda-forge
-  - defaults
-dependencies:
-  - cuml=23.06
-  - jupyterlab
-  - python=3.10
-  - scikit-learn=1.2.2
-  - xgboost
+from . import _version
+
+__version__ = _version.get_versions()['version']
diff --git a/models/validation-inference-scripts/fraud-detection-models/requirements.yml b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/CMakeLists.txt
similarity index 59%
rename from models/validation-inference-scripts/fraud-detection-models/requirements.yml
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/CMakeLists.txt
index c002d618a5..ba768f7a2a 100644
--- a/models/validation-inference-scripts/fraud-detection-models/requirements.yml
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/CMakeLists.txt
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,19 +13,18 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-channels:
-    - rapidsai
-    - nvidia
-    - conda-forge
-    - defaults
-dependencies:
-    - click==8.1.3
-    - cuml=23.06
-    - dgl==1.0.2+cu118
-    - numpy==1.23.5
-    - pandas==1.5.3
-    - scikit_learn==1.2.2
-    - torch==2.0.0+cu118
-    - torchmetrics==0.11.4
-    - tqdm==4.65.0
-    - xgboost==1.7.1
+list(APPEND CMAKE_MESSAGE_CONTEXT "rabbitmq_cpp_stage")
+
+morpheus_add_pybind11_module(rabbitmq_cpp_stage
+  SOURCE_FILES
+    "rabbitmq_source.cpp"
+  INCLUDE_DIRS
+    $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}>
+    ${SimpleAmqpClient_SOURCE_DIR}/src
+  LINK_TARGETS
+    morpheus
+    rabbitmq
+    SimpleAmqpClient
+)
+
+list(POP_BACK CMAKE_MESSAGE_CONTEXT)
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/__init__.py b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/__init__.py
similarity index 100%
rename from examples/developer_guide/4_rabbitmq_cpp_stage/__init__.py
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/__init__.py
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_cpp_stage/__init__.pyi b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_cpp_stage/__init__.pyi
new file mode 100644
index 0000000000..93e02914b8
--- /dev/null
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_cpp_stage/__init__.pyi
@@ -0,0 +1,15 @@
+from __future__ import annotations
+import src.rabbitmq_cpp_stage._lib.rabbitmq_cpp_stage
+import typing
+import datetime
+import morpheus._lib.messages
+import mrc.core.segment
+
+__all__ = [
+    "RabbitMQSourceStage"
+]
+
+
+class RabbitMQSourceStage(mrc.core.segment.SegmentObject):
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, host: str, exchange: str, exchange_type: str = 'fanout', queue_name: str = '', poll_interval: datetime.timedelta = datetime.timedelta(microseconds=100000)) -> None: ...
+    pass
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/_lib/rabbitmq_source.cpp b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_source.cpp
similarity index 88%
rename from examples/developer_guide/4_rabbitmq_cpp_stage/_lib/rabbitmq_source.cpp
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_source.cpp
index 4f0e6db7cc..a8a7d8e0cb 100644
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/_lib/rabbitmq_source.cpp
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_source.cpp
@@ -1,5 +1,5 @@
 /**
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,16 +17,24 @@
 
 #include "rabbitmq_source.hpp"
 
+#include <SimpleAmqpClient/BasicMessage.h>
+#include <SimpleAmqpClient/Channel.h>
+#include <SimpleAmqpClient/Envelope.h>
 #include <cudf/io/json.hpp>
-#include <cudf/table/table.hpp>
 #include <glog/logging.h>
-#include <pybind11/chrono.h>  // for timedelta->chrono conversions
+#include <morpheus/messages/meta.hpp>
+#include <pybind11/attr.h>
+#include <pybind11/chrono.h>  // IWYU pragma: keep
 #include <pybind11/pybind11.h>
+#include <pymrc/utils.hpp>
 
 #include <exception>
 #include <sstream>
 #include <thread>  // for std::this_thread::sleep_for
-#include <vector>
+#include <utility>
+
+// IWYU pragma: no_include <boost/smart_ptr/detail/operator_bool.hpp>
+// IWYU pragma: no_include <boost/smart_ptr/shared_ptr.hpp>
 
 namespace morpheus_rabbit {
 
@@ -36,8 +44,8 @@ RabbitMQSourceStage::RabbitMQSourceStage(const std::string& host,
                                          const std::string& queue_name,
                                          std::chrono::milliseconds poll_interval) :
   PythonSource(build()),
-  m_channel{AmqpClient::Channel::Create(host)},
-  m_poll_interval{poll_interval}
+  m_poll_interval{poll_interval},
+  m_channel{AmqpClient::Channel::Create(host)}
 {
     m_channel->DeclareExchange(exchange, exchange_type);
     m_queue_name = m_channel->DeclareQueue(queue_name);
@@ -122,7 +130,7 @@ std::shared_ptr<mrc::segment::Object<RabbitMQSourceStage>> RabbitMQSourceStageIn
 namespace py = pybind11;
 
 // Define the pybind11 module m.
-PYBIND11_MODULE(morpheus_rabbit, m)
+PYBIND11_MODULE(rabbitmq_cpp_stage, m)
 {
     mrc::pymrc::import(m, "morpheus._lib.messages");
 
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/_lib/rabbitmq_source.hpp b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_source.hpp
similarity index 83%
rename from examples/developer_guide/4_rabbitmq_cpp_stage/_lib/rabbitmq_source.hpp
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_source.hpp
index 6f838b69d8..c117bcc5e9 100644
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/_lib/rabbitmq_source.hpp
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_lib/rabbitmq_source.hpp
@@ -1,5 +1,5 @@
 /**
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,16 +17,22 @@
 
 #pragma once
 
-#include <SimpleAmqpClient/SimpleAmqpClient.h>  // for AmqpClient::Channel::ptr_t
-#include <cudf/io/types.hpp>                    // for cudf::io::table_with_metadata
-#include <morpheus/messages/meta.hpp>           // for MessageMeta
-#include <mrc/segment/builder.hpp>              // for Segment Builder
-#include <mrc/segment/object.hpp>               // for Segment Object
-#include <pymrc/node.hpp>                       // for mrc::pymrc::PythonSource
+#include <SimpleAmqpClient/Channel.h>
+#include <cudf/io/types.hpp>           // for cudf::io::table_with_metadata
+#include <morpheus/messages/meta.hpp>  // for MessageMeta
+#include <mrc/segment/builder.hpp>     // for Segment Builder
+#include <mrc/segment/object.hpp>      // for Segment Object
+#include <pymrc/node.hpp>              // for mrc::pymrc::PythonSource
+#include <rxcpp/rx.hpp>
 
 #include <chrono>  // for chrono::milliseconds
 #include <memory>  // for shared_ptr
 #include <string>
+#include <string_view>
+#include <thread>
+
+// IWYU pragma: no_include "morpheus/objects/data_table.hpp"
+// IWYU pragma: no_include <boost/fiber/context.hpp>
 
 namespace morpheus_rabbit {
 
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_version.py b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_version.py
new file mode 100644
index 0000000000..a0573c335e
--- /dev/null
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/_version.py
@@ -0,0 +1,683 @@
+
+# This file helps to compute a version number in source trees obtained from
+# git-archive tarball (such as those provided by githubs download-from-tag
+# feature). Distribution tarballs (built by setup.py sdist) and build
+# directories (produced by setup.py build) will contain a much shorter file
+# that just contains the computed version number.
+
+# This file is released into the public domain.
+# Generated by versioneer-0.29
+# https://github.com/python-versioneer/python-versioneer
+
+"""Git implementation of _version.py."""
+
+import errno
+import os
+import re
+import subprocess
+import sys
+from typing import Any, Callable, Dict, List, Optional, Tuple
+import functools
+
+
+def get_keywords() -> Dict[str, str]:
+    """Get the keywords needed to look up the version information."""
+    # these strings will be replaced by git during git-archive.
+    # setup.py/versioneer.py will grep for the variable names, so they must
+    # each be defined on a line of their own. _version.py will just call
+    # get_keywords().
+    git_refnames = "$Format:%d$"
+    git_full = "$Format:%H$"
+    git_date = "$Format:%ci$"
+    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
+    return keywords
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+    VCS: str
+    style: str
+    tag_prefix: str
+    parentdir_prefix: str
+    versionfile_source: str
+    verbose: bool
+
+
+def get_config() -> VersioneerConfig:
+    """Create, populate and return the VersioneerConfig() object."""
+    # these strings are filled in when 'setup.py versioneer' creates
+    # _version.py
+    cfg = VersioneerConfig()
+    cfg.VCS = "git"
+    cfg.style = "pep440"
+    cfg.tag_prefix = "v"
+    cfg.parentdir_prefix = "None"
+    cfg.versionfile_source = "src/rabbitmq_cpp_stage/_version.py"
+    cfg.verbose = False
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
+
+
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
+        try:
+            dispcmd = str([command] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
+            break
+        except OSError as e:
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %s" % dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %s" % (commands,))
+        return None, None
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
+        if verbose:
+            print("unable to run %s (error)" % dispcmd)
+            print("stdout was %s" % stdout)
+        return None, process.returncode
+    return stdout, process.returncode
+
+
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for _ in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords: Dict[str, str] = {}
+    try:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
+    """Get version information from git keywords."""
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
+    date = keywords.get("date")
+    if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
+        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = {r for r in refs if re.search(r'\d', r)}
+        if verbose:
+            print("discarding '%s', no digits" % ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %s" % ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g. "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
+            if verbose:
+                print("picking %s" % r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
+    if rc != 0:
+        if verbose:
+            print("Directory %s not under git control" % root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces: Dict[str, Any] = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparsable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%s' doesn't start with prefix '%s'"
+                print(fmt % (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces: Dict[str, Any]) -> str:
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
+
+    Exceptions:
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        if pieces["distance"]:
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%d" % (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
+    else:
+        # exception #1
+        rendered = "0.post0.dev%d" % pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+    return rendered
+
+
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces: Dict[str, Any]) -> str:
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%s'" % style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+def get_versions() -> Dict[str, Any]:
+    """Get version information or return default if unable to do so."""
+    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
+    # __file__, we can work backwards from there to the root. Some
+    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
+    # case we can only use expanded keywords.
+
+    cfg = get_config()
+    verbose = cfg.verbose
+
+    try:
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
+    except NotThisMethod:
+        pass
+
+    try:
+        root = os.path.realpath(__file__)
+        # versionfile_source is the relative path from the top of the source
+        # tree (where the .git directory might live) to this file. Invert
+        # this to find the root from __file__.
+        for _ in cfg.versionfile_source.split('/'):
+            root = os.path.dirname(root)
+    except NameError:
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
+
+    try:
+        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
+        return render(pieces, cfg.style)
+    except NotThisMethod:
+        pass
+
+    try:
+        if cfg.parentdir_prefix:
+            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+    except NotThisMethod:
+        pass
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/rabbitmq_source_stage.py b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/rabbitmq_source_stage.py
similarity index 85%
rename from examples/developer_guide/4_rabbitmq_cpp_stage/rabbitmq_source_stage.py
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/rabbitmq_source_stage.py
index 9557e4f6da..4516f7d87b 100755
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/rabbitmq_source_stage.py
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/rabbitmq_source_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -87,16 +87,15 @@ def compute_schema(self, schema: StageSchema):
 
     def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
         if self._build_cpp_node():
-            # pylint: disable=c-extension-no-member,no-name-in-module
-            from _lib import morpheus_rabbit as morpheus_rabbit_cpp
-
-            node = morpheus_rabbit_cpp.RabbitMQSourceStage(builder,
-                                                           self.unique_name,
-                                                           self._host,
-                                                           self._exchange,
-                                                           self._exchange_type,
-                                                           self._queue_name,
-                                                           self._poll_interval.to_pytimedelta())
+            from ._lib import rabbitmq_cpp_stage
+
+            node = rabbitmq_cpp_stage.RabbitMQSourceStage(builder,
+                                                          self.unique_name,
+                                                          self._host,
+                                                          self._exchange,
+                                                          self._exchange_type,
+                                                          self._queue_name,
+                                                          self._poll_interval.to_pytimedelta())
         else:
             self.connect()
             node = builder.make_source(self.unique_name, self.source_generator)
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/write_to_rabbitmq_stage.py b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/write_to_rabbitmq_stage.py
similarity index 97%
rename from examples/developer_guide/4_rabbitmq_cpp_stage/write_to_rabbitmq_stage.py
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/write_to_rabbitmq_stage.py
index 3516580bda..401d8b785e 100644
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/write_to_rabbitmq_stage.py
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/rabbitmq_cpp_stage/write_to_rabbitmq_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/read_simple.py b/examples/developer_guide/4_rabbitmq_cpp_stage/src/read_simple.py
similarity index 94%
rename from examples/developer_guide/4_rabbitmq_cpp_stage/read_simple.py
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/read_simple.py
index 7581cf38b1..1edec18e75 100755
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/read_simple.py
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/read_simple.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,7 +17,7 @@
 import os
 
 import click
-from rabbitmq_source_stage import RabbitMQSourceStage
+from rabbitmq_cpp_stage.rabbitmq_source_stage import RabbitMQSourceStage
 
 from morpheus.common import FileTypes
 from morpheus.config import Config
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/write_simple.py b/examples/developer_guide/4_rabbitmq_cpp_stage/src/write_simple.py
similarity index 92%
rename from examples/developer_guide/4_rabbitmq_cpp_stage/write_simple.py
rename to examples/developer_guide/4_rabbitmq_cpp_stage/src/write_simple.py
index 239f205350..9cac7d7331 100755
--- a/examples/developer_guide/4_rabbitmq_cpp_stage/write_simple.py
+++ b/examples/developer_guide/4_rabbitmq_cpp_stage/src/write_simple.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -16,7 +16,7 @@
 import logging
 import os
 
-from write_to_rabbitmq_stage import WriteToRabbitMQStage
+from rabbitmq_cpp_stage.write_to_rabbitmq_stage import WriteToRabbitMQStage
 
 from morpheus.config import Config
 from morpheus.pipeline import LinearPipeline
diff --git a/examples/developer_guide/7_python_modules/my_compound_module_consumer_stage.py b/examples/developer_guide/7_python_modules/my_compound_module_consumer_stage.py
index c2daf0b358..ed9e575240 100644
--- a/examples/developer_guide/7_python_modules/my_compound_module_consumer_stage.py
+++ b/examples/developer_guide/7_python_modules/my_compound_module_consumer_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/7_python_modules/my_test_compound_module.py b/examples/developer_guide/7_python_modules/my_test_compound_module.py
index 89ead0159b..a9a5bf66b5 100644
--- a/examples/developer_guide/7_python_modules/my_test_compound_module.py
+++ b/examples/developer_guide/7_python_modules/my_test_compound_module.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/7_python_modules/my_test_module.py b/examples/developer_guide/7_python_modules/my_test_module.py
index e52acd5d4c..36c2e83f6a 100644
--- a/examples/developer_guide/7_python_modules/my_test_module.py
+++ b/examples/developer_guide/7_python_modules/my_test_module.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/7_python_modules/my_test_module_consumer.py b/examples/developer_guide/7_python_modules/my_test_module_consumer.py
index fd8126c4bb..b3dca2bbf4 100644
--- a/examples/developer_guide/7_python_modules/my_test_module_consumer.py
+++ b/examples/developer_guide/7_python_modules/my_test_module_consumer.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/7_python_modules/my_test_module_consumer_stage.py b/examples/developer_guide/7_python_modules/my_test_module_consumer_stage.py
index b2897628c3..998026f5ed 100644
--- a/examples/developer_guide/7_python_modules/my_test_module_consumer_stage.py
+++ b/examples/developer_guide/7_python_modules/my_test_module_consumer_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/7_python_modules/run.py b/examples/developer_guide/7_python_modules/run.py
index a9df420367..7defcba876 100644
--- a/examples/developer_guide/7_python_modules/run.py
+++ b/examples/developer_guide/7_python_modules/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/developer_guide/CMakeLists.txt b/examples/developer_guide/CMakeLists.txt
new file mode 100644
index 0000000000..16220563c7
--- /dev/null
+++ b/examples/developer_guide/CMakeLists.txt
@@ -0,0 +1,19 @@
+# =============================================================================
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
+# in compliance with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software distributed under the License
+# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+# or implied. See the License for the specific language governing permissions and limitations under
+# the License.
+# =============================================================================
+list(APPEND CMAKE_MESSAGE_CONTEXT "developer_guide")
+
+add_subdirectory(3_simple_cpp_stage)
+add_subdirectory(4_rabbitmq_cpp_stage)
+
+list(POP_BACK CMAKE_MESSAGE_CONTEXT)
diff --git a/examples/digital_fingerprinting/README.md b/examples/digital_fingerprinting/README.md
index 67283cfe21..d9296eb5f6 100644
--- a/examples/digital_fingerprinting/README.md
+++ b/examples/digital_fingerprinting/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/demo/README.md b/examples/digital_fingerprinting/demo/README.md
index 4a888b6e31..76b4bc8b5a 100644
--- a/examples/digital_fingerprinting/demo/README.md
+++ b/examples/digital_fingerprinting/demo/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/demo/bin/start.sh b/examples/digital_fingerprinting/demo/bin/start.sh
index e462cca9ae..65fd2b423e 100755
--- a/examples/digital_fingerprinting/demo/bin/start.sh
+++ b/examples/digital_fingerprinting/demo/bin/start.sh
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,7 +14,7 @@
 # limitations under the License.
 
 #!/bin/sh
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/demo/cm_app/__init__.py b/examples/digital_fingerprinting/demo/cm_app/__init__.py
index 4412ea6951..7ad9317f0d 100644
--- a/examples/digital_fingerprinting/demo/cm_app/__init__.py
+++ b/examples/digital_fingerprinting/demo/cm_app/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/demo/cm_app/helper.py b/examples/digital_fingerprinting/demo/cm_app/helper.py
index 26b13cd607..560c3047c1 100644
--- a/examples/digital_fingerprinting/demo/cm_app/helper.py
+++ b/examples/digital_fingerprinting/demo/cm_app/helper.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -49,7 +49,7 @@ def close(self):
 def process_cm(request):
     control_messages_json = request.form.get("control-messages-json")
 
-    logging.info("Received control message: {}".format(control_messages_json))
+    logging.info("Received control message: %s", control_messages_json)
 
     return control_messages_json
 
diff --git a/examples/digital_fingerprinting/demo/cm_app/views.py b/examples/digital_fingerprinting/demo/cm_app/views.py
index 26a08c02ba..7dec112184 100644
--- a/examples/digital_fingerprinting/demo/cm_app/views.py
+++ b/examples/digital_fingerprinting/demo/cm_app/views.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,7 +24,9 @@
 
 from . import app
 
-kafka_writer = None
+KAFKA_WRITER = None
+
+# pylint: disable=inconsistent-return-statements,no-member
 
 
 @app.before_first_request
@@ -32,8 +34,9 @@ def setup():
     app.logger.setLevel(logging.INFO)
     producer = Producer({'bootstrap.servers': 'localhost:9092'})
     app.logger.info("Initialized Kafka producer")
-    global kafka_writer
-    kafka_writer = KafkaWriter(kafka_topic="test_cm", batch_size=1, producer=producer)
+    # pylint: disable=global-statement
+    global KAFKA_WRITER
+    KAFKA_WRITER = KafkaWriter(kafka_topic="test_cm", batch_size=1, producer=producer)
     app.logger.info("Initialized Kafka writer")
 
 
@@ -42,8 +45,7 @@ def submit_messages():
 
     if request.method == "POST":
         control_messages_json = process_cm(request)
-        global kafka_writer
-        kafka_writer.write_data(control_messages_json)
+        KAFKA_WRITER.write_data(control_messages_json)
         sucess_message = generate_success_message(control_messages_json)
         return sucess_message
 
@@ -56,8 +58,7 @@ def training():
 
     if request.method == "POST":
         control_messages_json = process_cm(request)
-        global kafka_writer
-        kafka_writer.write_data(control_messages_json)
+        KAFKA_WRITER.write_data(control_messages_json)
         sucess_message = generate_success_message(control_messages_json)
         return sucess_message
 
diff --git a/examples/digital_fingerprinting/demo/cm_app/webapp.py b/examples/digital_fingerprinting/demo/cm_app/webapp.py
index 91f9a0e700..e365bd1053 100644
--- a/examples/digital_fingerprinting/demo/cm_app/webapp.py
+++ b/examples/digital_fingerprinting/demo/cm_app/webapp.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,5 +14,6 @@
 # limitations under the License.
 
 # Entry point for the application.
+# pylint: disable=unused-import
 from . import app  # noqa: F401
 from . import views  # noqa: F401
diff --git a/examples/digital_fingerprinting/demo/review_results.md b/examples/digital_fingerprinting/demo/review_results.md
index bbe2c0ff65..5e1ee85f40 100644
--- a/examples/digital_fingerprinting/demo/review_results.md
+++ b/examples/digital_fingerprinting/demo/review_results.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/demo/submit_messages.md b/examples/digital_fingerprinting/demo/submit_messages.md
index 00ee6d4cc4..03a30fbd9b 100644
--- a/examples/digital_fingerprinting/demo/submit_messages.md
+++ b/examples/digital_fingerprinting/demo/submit_messages.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/demo/training.md b/examples/digital_fingerprinting/demo/training.md
index 47321c8997..ff50cdbb65 100644
--- a/examples/digital_fingerprinting/demo/training.md
+++ b/examples/digital_fingerprinting/demo/training.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/fetch_example_data.py b/examples/digital_fingerprinting/fetch_example_data.py
index 88216f0b61..ff66276012 100755
--- a/examples/digital_fingerprinting/fetch_example_data.py
+++ b/examples/digital_fingerprinting/fetch_example_data.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/production/Dockerfile b/examples/digital_fingerprinting/production/Dockerfile
index 61c4dfffeb..4472bce5d5 100644
--- a/examples/digital_fingerprinting/production/Dockerfile
+++ b/examples/digital_fingerprinting/production/Dockerfile
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,7 +14,7 @@
 # limitations under the License.
 
 ARG MORPHEUS_CONTAINER=nvcr.io/nvidia/morpheus/morpheus
-ARG MORPHEUS_CONTAINER_VERSION=v23.11.00-runtime
+ARG MORPHEUS_CONTAINER_VERSION=v24.03.00-runtime
 
 FROM ${MORPHEUS_CONTAINER}:${MORPHEUS_CONTAINER_VERSION} as base
 
@@ -26,15 +26,9 @@ SHELL ["/bin/bash", "-c"]
 # Set the workdir to the DFP base folder
 WORKDIR /workspace/examples/digital_fingerprinting/
 
-# Copy the conda_env file
-COPY ./conda_env.yml ./
-
 # Install DFP dependencies
 RUN source activate morpheus \
-    && mamba install -n base -c conda-forge conda-merge \
-    && conda run -n base --live-stream conda-merge /workspace/docker/conda/environments/cuda11.8_dev.yml \
-      ./conda_env.yml > ./merged.yml \
-    && mamba env update -n morpheus --file ./merged.yml
+    && mamba env update -n morpheus --file /workspace/conda/environments/examples_cuda-121_arch-x86_64.yaml
 
 # Set the tracking URI for mlflow
 ENV MLFLOW_TRACKING_URI="http://mlflow:5000"
@@ -61,7 +55,6 @@ FROM base as jupyter
 RUN source activate morpheus &&\
     mamba install -y -c conda-forge \
         ipywidgets \
-        nb_conda_kernels \
         jupyter_contrib_nbextensions \
         # notebook v7 is incompatible with jupyter_contrib_nbextensions
         notebook=6 &&\
diff --git a/examples/digital_fingerprinting/production/README.md b/examples/digital_fingerprinting/production/README.md
index ab06fd598d..48a3033a20 100644
--- a/examples/digital_fingerprinting/production/README.md
+++ b/examples/digital_fingerprinting/production/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/production/conda_env.yml b/examples/digital_fingerprinting/production/conda_env.yml
index 777fb6dbaa..80e40b9f88 100644
--- a/examples/digital_fingerprinting/production/conda_env.yml
+++ b/examples/digital_fingerprinting/production/conda_env.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -32,3 +32,7 @@ dependencies:
     - nvtabular=23.06
     - papermill
     - s3fs>=2023.6
+
+    ##### Pip Dependencies (keep sorted!) #######
+    - pip:
+        - python-logging-loki
diff --git a/examples/digital_fingerprinting/production/docker-compose.yml b/examples/digital_fingerprinting/production/docker-compose.yml
index fc2aa2edd2..7cf1c636b1 100644
--- a/examples/digital_fingerprinting/production/docker-compose.yml
+++ b/examples/digital_fingerprinting/production/docker-compose.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -77,7 +77,7 @@ services:
       target: jupyter
       args:
         - MORPHEUS_CONTAINER=${MORPHEUS_CONTAINER:-nvcr.io/nvidia/morpheus/morpheus}
-        - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v23.11.00-runtime}
+        - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v24.03.00-runtime}
     deploy:
       resources:
         reservations:
@@ -109,7 +109,7 @@ services:
       target: runtime
       args:
         - MORPHEUS_CONTAINER=${MORPHEUS_CONTAINER:-nvcr.io/nvidia/morpheus/morpheus}
-        - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v23.11.00-runtime}
+        - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v24.03.00-runtime}
     image: dfp_morpheus
     container_name: morpheus_pipeline
     deploy:
@@ -145,9 +145,26 @@ services:
       - ./grafana/config/dashboards.yaml:/etc/grafana/provisioning/dashboards/dashboards.yaml
       - ./grafana/dashboards/:/var/lib/grafana/dashboards/
       - ./grafana/datasources/:/etc/grafana/provisioning/datasources/
-      - ./morpheus:/workspace
+      - ./grafana:/workspace
     ports:
       - "3000:3000"
+    networks:
+      - frontend
+      - backend
+    depends_on:
+      - loki
+
+  loki:
+    image: grafana/loki:2.9.3
+    volumes:
+      - ./grafana/config/loki-config.yml:/etc/loki/loki-config.yml
+    ports:
+      - "3100:3100"
+    networks:
+      - frontend
+      - backend
+    restart: unless-stopped
+    command: -config.file=/etc/loki/loki-config.yml
 
 networks:
   frontend:
diff --git a/examples/digital_fingerprinting/production/grafana/README.md b/examples/digital_fingerprinting/production/grafana/README.md
index 797270e7b6..f79fe6e92b 100644
--- a/examples/digital_fingerprinting/production/grafana/README.md
+++ b/examples/digital_fingerprinting/production/grafana/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -14,24 +14,31 @@
 # limitations under the License.
 -->
 
-# Grafana DFP Dashboard Example
+# Using Grafana with Morpheus DFP Pipeline
 
-This example demonstrates how to use [Grafana](https://grafana.com/grafana/) to visualize the inference results from the [Azure DFP pipeline example](../production/README.md).
+This example builds on the [Azure DFP pipeline example](../production/README.md) to demonstrate how [Grafana](https://grafana.com/grafana/) can be used for log monitoring, error alerting, and inference results visualization.
 
 ## Grafana Configuration
 
-### CSV data source plugin
+The data sources and dashboards in this example are managed using config files. [Grafana's provisioning system](https://grafana.com/docs/grafana/latest/administration/provisioning/) then uses these files to add the data sources and dashboards to Grafana upon startup.
 
-The [CSV data source plugin](https://grafana.com/grafana/plugins/marcusolsson-csv-datasource/) is installed to Grafana to read the Azure inference results CSV file. This example assumes we are using the CSV file generated from running the Python script for [Azure DFP pipeline example](../production/README.md).
+### Data Sources
 
-If using the [notebook version](../production/morpheus/notebooks/dfp_azure_inference.ipynb) to run inference, you'll need to update the `url` in [datasources.yaml](./datasources/datasources.yaml) as follows:
-```
-url: /workspace/notebooks/dfp_detections_azure.csv
-```
+Grafana includes built-in support for many data sources. There are also several data sources available that can be installed as plugins. More information about how to manage Grafana data sources can be found [here](https://grafana.com/docs/grafana/latest/datasources/).
+
+The following data sources for this example are configured in [datasources.yaml](./datasources/datasources.yaml):
+
+#### Loki data source
+
+[Loki](https://grafana.com/docs/loki/latest/) is Grafana's log aggregation system. The Loki service is started automatically when the Grafana service starts up. The [Python script for running the DFP pipeline](./run.py) has been updated to configure a logging handler that sends the Morpheus logs to the Loki service.
+
+#### CSV data source plugin
+
+The [CSV data source plugin](https://grafana.com/grafana/plugins/marcusolsson-csv-datasource/) is installed to Grafana to read the Azure inference results CSV file. This example assumes we are using the CSV file generated from running the Python script for [Azure DFP pipeline example](../production/README.md).
 
 Please note that the use of the CSV plugin is for demonstration purposes only. Grafana includes support for many data sources more suitable for production deployments. See [here](https://grafana.com/docs/grafana/latest/datasources/) for more information.
 
-### Updates to grafana.ini
+#### Updates to grafana.ini
 
 The following is added to the default `grafana.ini` to enable local mode for CSV data source plugin. This allows the CSV data source plugin to access files on local file system.
 
@@ -40,14 +47,24 @@ The following is added to the default `grafana.ini` to enable local mode for CSV
 allow_local_mode = true
 ```
 
-## Run Azure Production DFP Training and Inference Examples
+## Add Loki logging handler to DFP pipeline
 
-### Start Morpheus DFP pipeline container
+The [pipeline run script](./run.py) for the Azure DFP example has been updated with the following to add the Loki logging handler which will publish the Morpheus logs to our Loki service:
 
-The following steps are taken from [Azure DFP pipeline example](../production/README.md). Run the followng commands to start the Morpheus container:
+```
+loki_handler = logging_loki.LokiHandler(
+    url=f"{loki_url}/loki/api/v1/push",
+    tags={"app": "morpheus"},
+    version="1",
+)
 
-Build the Morpheus container:
+configure_logging(loki_handler, log_level=log_level)
+```
+
+More information about Loki Python logging can be found [here](https://pypi.org/project/python-logging-loki/).
 
+## Build the Morpheus container:
+From the root of the Morpheus repo:
 ```bash
 ./docker/build_container_release.sh
 ```
@@ -60,45 +77,96 @@ export MORPHEUS_CONTAINER_VERSION="$(git describe --tags --abbrev=0)-runtime"
 docker compose build
 ```
 
-Create `bash` shell in `morpheus_pipeline` container:
+## Start Grafana and Loki services:
 
+To start Grafana and Loki, run the following command on host in `examples/digital_fingerprinting/production`:
 ```bash
-docker compose run morpheus_pipeline bash
+docker compose up grafana
 ```
 
-### Run Azure training pipeline
+## Run Azure DFP Training
 
-Run the following in the container to train Azure models.
+Create `bash` shell in `morpheus_pipeline` container:
 
 ```bash
-python dfp_azure_pipeline.py --log_level INFO --train_users generic --start_time "2022-08-01" --input_file="../../../data/dfp/azure-training-data/AZUREAD_2022*.json"
+docker compose run --rm morpheus_pipeline bash
 ```
 
-### Run Azure inference pipeline:
-
-Run the inference pipeline with `filter_threshold=0.0`. This will disable the filtering of the inference results.
+Set `PYTHONPATH` environment variable to allow import of production DFP Morpheus stages:
+```
+export PYTHONPATH=/workspace/examples/digital_fingerprinting/production/morpheus
+```
 
+Run the following in the container to train the Azure models.
 ```bash
-python dfp_azure_pipeline.py --log_level INFO --train_users none  --start_time "2022-08-30" --input_file="../../../data/dfp/azure-inference-data/*.json" --filter_threshold=0.0
+cd /workspace/examples/digital_fingerprinting/production/grafana
+python run.py --log_level DEBUG --train_users generic --start_time "2022-08-01" --input_file="../../../data/dfp/azure-training-data/AZUREAD_2022*.json"
 ```
 
-The inference results will be saved to `dfp_detection_azure.csv` in the directory where script was run.
+## View DFP Logs Dashboard in Grafana
+
+While the training pipeline is running, you can view Morpheus logs live in a Grafana dashboard at http://localhost:3000/dashboards.
+
+Click on `DFP Logs` in the `General` folder. You may need to expand the `General` folder to see the link.
+
+<img src="./img/dfp_logs_dashboard.png">
+
+This dashboard was provisioned using config files but can also be manually created with the following steps:
+1. Click `Dashboards` in the left-side menu.
+2. Click `New` and select `New Dashboard`.
+3. On the empty dashboard, click `+ Add visualization`.
+4. In the dialog box that opens, Select the `Loki` data source.
+5. In the `Edit Panel` view, change from `Time Series` visualization to `Logs`.
+6. Add label filter: `app = morpheus`.
+7. Change Order to `Oldest first`.
+8. Click `Apply` to see your changes applied to the dashboard. Then click the save icon in the dashboard header.
 
-## Run Grafana Docker Image
+## Set up Error Alerting
 
-To start Grafana, run the following command on host in `examples/digital_fingerprinting/production`:
+We demonstrate here with a simple example how we can use Grafana Alerting to notify us of a pipeline error moments after it occurs. This is especially useful with long-running pipelines.
 
+1. Click `Alert Rules` under `Alerting` in the left-side menu.
+2. Click `New Alert Rule`
+3. Enter alert rule name: `DFP Error Alert Rule`
+4. In `Define query and alert condition` section, select `Loki` data source.
+5. Switch to `Code` view by clicking the `Code` button on the right.
+6. Enter the following Loki Query which counts the number of log lines in last minute that have an error label (`severity=error`):
 ```
-docker compose up grafana
+count_over_time({severity="error"}[1m])
+```
+7. Under `Expressions`, keep default configurations for `Reduce` and `Threshold`. The alert condition threshold will be error counts > 0.
+7. In `Set evaluation behavior` section, click `+ New folder`, enter `morpheus` then click `Create` button.
+8. Click `+ New evaluation group`, enter `dfp` for `Evaluation group name` and `1m` for `Evaluation interval`, then click `Create` button.
+9. Enter `0s` for `Pending period`. This configures alerts to be fired instantly when alert condition is met.
+10. Test your alert rule, by running the following in your `morpheus_pipeline` container. This will cause an error because `--input-file` glob will no longer match any of our training data files.
+```
+python run.py --log_level DEBUG --train_users generic --start_time "2022-08-01" --input_file="../../../data/dfp/azure-training-data/AZUREAD_2022*.json"
 ```
+11. Click the `Preview` button to test run the alert rule. You should now see how our alert query picks up the error log, processes it through our reduce/threshold expressions and satisfies our alert condition. This is indicated by the `Firing` label in the `Threshold` section.
+
+<img src="./img/dfp_error_alert_setup.png">
+
+12. Finally, click `Save rule and exit` at top right of the page. 
+
+By default, all alerts will be sent through the `grafana-default-email` contact point. You can add email addresses to this contact point by clicking on `Contact points` under `Alerting` in the left-side menu. You would also have to configure SMTP in the `[smtp]` section of your `grafana.ini`. More information about about Grafana Alerting contact points can found [here](https://grafana.com/docs/grafana/latest/alerting/fundamentals/contact-points/).
+
+## Run Azure DFP Inference:
+
+Run the inference pipeline with `filter_threshold=0.0`. This will disable the filtering of the inference results.
+
+```bash
+python run.py --log_level DEBUG --train_users none  --start_time "2022-08-30" --input_file="../../../data/dfp/azure-inference-data/*.json" --filter_threshold=0.0
+```
+
+The inference results will be saved to `dfp_detection_azure.csv` in the directory where script was run.
 
-## View DFP Dashboard
+## View DFP Detections Dashboard in Grafana
 
-Our Grafana DFP dashboard can now be accessed via web browser at http://localhost:3000/dashboards.
+When the inference pipeline completes, you can view visualizations of the inference results at http://localhost:3000/dashboards.
 
-Click on `DFP_Dashboard` in the `General` folder. You may need to expand the `General` folder to see the link.
+Click on `DFP Detections` in the `General` folder. You may need to expand the `General` folder to see the link.
 
-<img src="./img/screenshot.png">
+<img src="./img/dfp_detections_dashboard.png">
 
 The dashboard has the following visualization panels:
 
diff --git a/examples/digital_fingerprinting/production/grafana/config/dashboards.yaml b/examples/digital_fingerprinting/production/grafana/config/dashboards.yaml
index d82167ce4d..ac6563bfee 100644
--- a/examples/digital_fingerprinting/production/grafana/config/dashboards.yaml
+++ b/examples/digital_fingerprinting/production/grafana/config/dashboards.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/production/grafana/config/grafana.ini b/examples/digital_fingerprinting/production/grafana/config/grafana.ini
index 6b30172ff5..97df7a8bba 100644
--- a/examples/digital_fingerprinting/production/grafana/config/grafana.ini
+++ b/examples/digital_fingerprinting/production/grafana/config/grafana.ini
@@ -379,7 +379,7 @@
 ;token_rotation_interval_minutes = 10
 
 # Set to true to disable (hide) the login form, useful if you use OAuth, defaults to false
-disable_login_form = true
+;disable_login_form = true
 
 # Set to true to disable the sign out link in the side menu. Useful if you use auth.proxy or auth.jwt, defaults to false
 ;disable_signout_menu = false
diff --git a/examples/digital_fingerprinting/production/grafana/config/loki-config.yml b/examples/digital_fingerprinting/production/grafana/config/loki-config.yml
new file mode 100644
index 0000000000..77cfa39956
--- /dev/null
+++ b/examples/digital_fingerprinting/production/grafana/config/loki-config.yml
@@ -0,0 +1,65 @@
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+auth_enabled: false
+
+server:
+  http_listen_port: 3100
+  grpc_listen_port: 9096
+
+common:
+  instance_addr: 127.0.0.1
+  path_prefix: /tmp/loki
+  storage:
+    filesystem:
+      chunks_directory: /tmp/loki/chunks
+      rules_directory: /tmp/loki/rules
+  replication_factor: 1
+  ring:
+    kvstore:
+      store: inmemory
+
+query_range:
+  results_cache:
+    cache:
+      embedded_cache:
+        enabled: true
+        max_size_mb: 100
+
+schema_config:
+  configs:
+    - from: 2020-10-24
+      store: boltdb-shipper
+      object_store: filesystem
+      schema: v11
+      index:
+        prefix: index_
+        period: 24h
+
+ruler:
+  alertmanager_url: http://localhost:9093
+
+# By default, Loki will send anonymous, but uniquely-identifiable usage and configuration
+# analytics to Grafana Labs. These statistics are sent to https://stats.grafana.org/
+#
+# Statistics help us better understand how Loki is used, and they show us performance
+# levels for most users. This helps us prioritize features and documentation.
+# For more information on what's sent, look at
+# https://github.com/grafana/loki/blob/main/pkg/usagestats/stats.go
+# Refer to the buildReport method to see what goes into a report.
+#
+# If you would like to disable reporting, uncomment the following lines:
+#analytics:
+#  reporting_enabled: false
diff --git a/examples/digital_fingerprinting/production/grafana/dashboards/DFP_Dashboard.json b/examples/digital_fingerprinting/production/grafana/dashboards/dfp_detections.json
similarity index 99%
rename from examples/digital_fingerprinting/production/grafana/dashboards/DFP_Dashboard.json
rename to examples/digital_fingerprinting/production/grafana/dashboards/dfp_detections.json
index f80780a381..9167ecaca5 100644
--- a/examples/digital_fingerprinting/production/grafana/dashboards/DFP_Dashboard.json
+++ b/examples/digital_fingerprinting/production/grafana/dashboards/dfp_detections.json
@@ -557,7 +557,7 @@
     },
     "timepicker": {},
     "timezone": "",
-    "title": "DFP_Dashboard",
+    "title": "DFP Detections",
     "uid": "f810d98f-bf31-42d4-98aa-9eb3fa187184",
     "version": 1,
     "weekStart": ""
diff --git a/examples/digital_fingerprinting/production/grafana/dashboards/dfp_logs.json b/examples/digital_fingerprinting/production/grafana/dashboards/dfp_logs.json
new file mode 100644
index 0000000000..c4ed0448c9
--- /dev/null
+++ b/examples/digital_fingerprinting/production/grafana/dashboards/dfp_logs.json
@@ -0,0 +1,78 @@
+{
+  "annotations": {
+    "list": [
+      {
+        "builtIn": 1,
+        "datasource": {
+          "type": "grafana",
+          "uid": "-- Grafana --"
+        },
+        "enable": true,
+        "hide": true,
+        "iconColor": "rgba(0, 211, 255, 1)",
+        "name": "Annotations & Alerts",
+        "type": "dashboard"
+      }
+    ]
+  },
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 0,
+  "links": [],
+  "liveNow": false,
+  "panels": [
+    {
+      "datasource": {
+        "type": "loki",
+        "uid": "P8E80F9AEF21F6940"
+      },
+      "gridPos": {
+        "h": 18,
+        "w": 23,
+        "x": 0,
+        "y": 0
+      },
+      "id": 1,
+      "options": {
+        "dedupStrategy": "none",
+        "enableLogDetails": true,
+        "prettifyLogMessage": false,
+        "showCommonLabels": false,
+        "showLabels": false,
+        "showTime": false,
+        "sortOrder": "Ascending",
+        "wrapLogMessage": false
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "loki",
+            "uid": "P8E80F9AEF21F6940"
+          },
+          "editorMode": "builder",
+          "expr": "{app=\"morpheus\"} |= ``",
+          "queryType": "range",
+          "refId": "A"
+        }
+      ],
+      "type": "logs"
+    }
+  ],
+  "refresh": "5s",
+  "schemaVersion": 38,
+  "style": "dark",
+  "tags": [],
+  "templating": {
+    "list": []
+  },
+  "time": {
+    "from": "now-6h",
+    "to": "now"
+  },
+  "timepicker": {},
+  "timezone": "",
+  "title": "DFP Logs",
+  "uid": "dfb4fe34-daae-4894-9ff0-b8f89b7d256e",
+  "version": 1,
+  "weekStart": ""
+}
\ No newline at end of file
diff --git a/examples/digital_fingerprinting/production/grafana/datasources/datasources.yaml b/examples/digital_fingerprinting/production/grafana/datasources/datasources.yaml
index 6489932465..edcebabb8a 100644
--- a/examples/digital_fingerprinting/production/grafana/datasources/datasources.yaml
+++ b/examples/digital_fingerprinting/production/grafana/datasources/datasources.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,6 +16,12 @@
 apiVersion: 1
 
 datasources:
+  - name: Loki
+    type: loki
+    access: proxy
+    url: http://loki:3100
+    jsonData:
+    maxLines: 1000
   - name: csv-datasource
     uid: 1257c93b-f998-438c-a784-7e90fb94fb36
     type: marcusolsson-csv-datasource
diff --git a/examples/digital_fingerprinting/production/grafana/img/screenshot.png b/examples/digital_fingerprinting/production/grafana/img/dfp_detections_dashboard.png
similarity index 100%
rename from examples/digital_fingerprinting/production/grafana/img/screenshot.png
rename to examples/digital_fingerprinting/production/grafana/img/dfp_detections_dashboard.png
diff --git a/examples/digital_fingerprinting/production/grafana/img/dfp_error_alert_setup.png b/examples/digital_fingerprinting/production/grafana/img/dfp_error_alert_setup.png
new file mode 100644
index 0000000000..516249f41a
--- /dev/null
+++ b/examples/digital_fingerprinting/production/grafana/img/dfp_error_alert_setup.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ada0a466cfeb34363623cf78d478e17737a1d439b43bec989c7b026749a0fe2
+size 474978
diff --git a/examples/digital_fingerprinting/production/grafana/img/dfp_logs_dashboard.png b/examples/digital_fingerprinting/production/grafana/img/dfp_logs_dashboard.png
new file mode 100644
index 0000000000..8cec30b668
--- /dev/null
+++ b/examples/digital_fingerprinting/production/grafana/img/dfp_logs_dashboard.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:753f199658371c462e6cbdbc324ee08acdafcf5453d0dae9b4042d133dfbabe0
+size 581211
diff --git a/examples/digital_fingerprinting/production/grafana/run.py b/examples/digital_fingerprinting/production/grafana/run.py
new file mode 100644
index 0000000000..1f10cd4f67
--- /dev/null
+++ b/examples/digital_fingerprinting/production/grafana/run.py
@@ -0,0 +1,476 @@
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""DFP training & inference pipelines for Azure Active Directory logs."""
+
+import functools
+import logging
+import logging.handlers
+import os
+import typing
+from datetime import datetime
+from datetime import timedelta
+from datetime import timezone
+
+import click
+import logging_loki
+import mlflow
+import pandas as pd
+from dfp.stages.dfp_file_batcher_stage import DFPFileBatcherStage
+from dfp.stages.dfp_file_to_df import DFPFileToDataFrameStage
+from dfp.stages.dfp_inference_stage import DFPInferenceStage
+from dfp.stages.dfp_mlflow_model_writer import DFPMLFlowModelWriterStage
+from dfp.stages.dfp_postprocessing_stage import DFPPostprocessingStage
+from dfp.stages.dfp_preprocessing_stage import DFPPreprocessingStage
+from dfp.stages.dfp_rolling_window_stage import DFPRollingWindowStage
+from dfp.stages.dfp_split_users_stage import DFPSplitUsersStage
+from dfp.stages.dfp_training import DFPTraining
+from dfp.stages.multi_file_source import MultiFileSource
+from dfp.utils.regex_utils import iso_date_regex
+
+from morpheus.cli.utils import get_log_levels
+from morpheus.cli.utils import get_package_relative_file
+from morpheus.cli.utils import load_labels_file
+from morpheus.cli.utils import parse_log_level
+from morpheus.common import FileTypes
+from morpheus.common import FilterSource
+from morpheus.config import Config
+from morpheus.config import ConfigAutoEncoder
+from morpheus.config import CppConfig
+from morpheus.pipeline import LinearPipeline
+from morpheus.stages.general.monitor_stage import MonitorStage
+from morpheus.stages.output.write_to_file_stage import WriteToFileStage
+from morpheus.stages.postprocess.filter_detections_stage import FilterDetectionsStage
+from morpheus.stages.postprocess.serialize_stage import SerializeStage
+from morpheus.utils.column_info import ColumnInfo
+from morpheus.utils.column_info import DataFrameInputSchema
+from morpheus.utils.column_info import DateTimeColumn
+from morpheus.utils.column_info import DistinctIncrementColumn
+from morpheus.utils.column_info import IncrementColumn
+from morpheus.utils.column_info import RenameColumn
+from morpheus.utils.column_info import StringCatColumn
+from morpheus.utils.file_utils import date_extractor
+from morpheus.utils.logger import configure_logging
+
+
+def _file_type_name_to_enum(file_type: str) -> FileTypes:
+    """Converts a file type name to a FileTypes enum."""
+    if (file_type == "JSON"):
+        return FileTypes.JSON
+    if (file_type == "CSV"):
+        return FileTypes.CSV
+    if (file_type == "PARQUET"):
+        return FileTypes.PARQUET
+
+    return FileTypes.Auto
+
+
+@click.command()
+@click.option(
+    "--train_users",
+    type=click.Choice(["all", "generic", "individual", "none"], case_sensitive=False),
+    help=("Indicates whether or not to train per user or a generic model for all users. "
+          "Selecting none runs the inference pipeline."),
+)
+@click.option(
+    "--skip_user",
+    multiple=True,
+    type=str,
+    help="User IDs to skip. Mutually exclusive with only_user",
+)
+@click.option(
+    "--only_user",
+    multiple=True,
+    type=str,
+    help="Only users specified by this option will be included. Mutually exclusive with skip_user",
+)
+@click.option(
+    "--start_time",
+    type=click.DateTime(
+        formats=['%Y-%m-%d', '%Y-%m-%dT%H:%M:%S', '%Y-%m-%d %H:%M:%S', '%Y-%m-%dT%H:%M:%S%z', '%Y-%m-%d %H:%M:%S%z']),
+    default=None,
+    help="The start of the time window, if undefined start_date will be `now()-duration`",
+)
+@click.option(
+    "--duration",
+    type=str,
+    default="60d",
+    help="The duration to run starting from start_time",
+)
+@click.option(
+    "--cache_dir",
+    type=str,
+    default="./.cache/dfp",
+    show_envvar=True,
+    help="The location to cache data such as S3 downloads and pre-processed data",
+)
+@click.option("--log_level",
+              default=logging.getLevelName(Config().log_level),
+              type=click.Choice(get_log_levels(), case_sensitive=False),
+              callback=parse_log_level,
+              help="Specify the logging level to use.")
+@click.option("--sample_rate_s",
+              type=int,
+              default=0,
+              show_envvar=True,
+              help="Minimum time step, in milliseconds, between object logs.")
+@click.option("--filter_threshold",
+              type=float,
+              default=2.0,
+              show_envvar=True,
+              help="Filter out inference results below this threshold")
+@click.option(
+    "--input_file",
+    "-f",
+    type=str,
+    multiple=True,
+    help=("List of files to process. Can specify multiple arguments for multiple files. "
+          "Also accepts glob (*) wildcards and schema prefixes such as `s3://`. "
+          "For example, to make a local cache of an s3 bucket, use `filecache::s3://mybucket/*`. "
+          "Refer to fsspec documentation for list of possible options."),
+)
+@click.option("--file_type_override",
+              "-t",
+              type=click.Choice(["AUTO", "JSON", "CSV", "PARQUET"], case_sensitive=False),
+              default="JSON",
+              help="Override the detected file type. Values can be 'AUTO', 'JSON', 'CSV', or 'PARQUET'.",
+              callback=lambda _,
+              __,
+              value: None if value is None else _file_type_name_to_enum(value))
+@click.option('--watch_inputs',
+              type=bool,
+              is_flag=True,
+              default=False,
+              help=("Instructs the pipeline to continuously check the paths specified by `--input_file` for new files. "
+                    "This assumes that the at least one paths contains a wildcard."))
+@click.option("--watch_interval",
+              type=float,
+              default=1.0,
+              help=("Amount of time, in seconds, to wait between checks for new files. "
+                    "Only used if --watch_inputs is set."))
+@click.option('--tracking_uri',
+              type=str,
+              default="http://mlflow:5000",
+              help=("The MLflow tracking URI to connect to the tracking backend."))
+@click.option('--mlflow_experiment_name_template',
+              type=str,
+              default="dfp/azure/training/{reg_model_name}",
+              help="The MLflow experiment name template to use when logging experiments. ")
+@click.option('--mlflow_model_name_template',
+              type=str,
+              default="DFP-azure-{user_id}",
+              help="The MLflow model name template to use when logging models. ")
+@click.option('--use_postproc_schema', is_flag=True, help='Assume that input data has already been preprocessed.')
+@click.option('--inference_detection_file_name', type=str, default="dfp_detections_azure.csv")
+@click.option('--loki_url',
+              type=str,
+              default="http://loki:3100",
+              help=("Loki URL for error logging and alerting in Grafana."))
+def run_pipeline(train_users,
+                 skip_user: typing.Tuple[str],
+                 only_user: typing.Tuple[str],
+                 start_time: datetime,
+                 duration,
+                 cache_dir,
+                 log_level,
+                 sample_rate_s,
+                 filter_threshold,
+                 mlflow_experiment_name_template,
+                 mlflow_model_name_template,
+                 file_type_override,
+                 use_postproc_schema,
+                 inference_detection_file_name,
+                 loki_url,
+                 **kwargs):
+    """Runs the DFP pipeline."""
+    # To include the generic, we must be training all or generic
+    include_generic = train_users in ("all", "generic")
+
+    # To include individual, we must be either training or inferring
+    include_individual = train_users != "generic"
+
+    # None indicates we aren't training anything
+    is_training = train_users != "none"
+
+    skip_users = list(skip_user)
+    only_users = list(only_user)
+
+    duration = timedelta(seconds=pd.Timedelta(duration).total_seconds())
+    if start_time is None:
+        end_time = datetime.now(tz=timezone.utc)
+        start_time = end_time - duration
+    else:
+        if start_time.tzinfo is None:
+            start_time = start_time.replace(tzinfo=timezone.utc)
+
+        end_time = start_time + duration
+
+    # Enable the Morpheus logger
+    loki_handler = logging_loki.LokiHandler(
+        url=f"{loki_url}/loki/api/v1/push",
+        tags={"app": "morpheus"},
+        version="1",
+    )
+    configure_logging(loki_handler, log_level=log_level)
+    logging.getLogger("mlflow").setLevel(log_level)
+
+    if (len(skip_users) > 0 and len(only_users) > 0):
+        logging.error("Option --skip_user and --only_user are mutually exclusive. Exiting")
+
+    logger = logging.getLogger(f"morpheus.{__name__}")
+
+    logger.info("Running training pipeline with the following options: ")
+    logger.info("Train generic_user: %s", include_generic)
+    logger.info("Skipping users: %s", skip_users)
+    logger.info("Start Time: %s", start_time)
+    logger.info("Duration: %s", duration)
+    logger.info("Cache Dir: %s", cache_dir)
+
+    if ("tracking_uri" in kwargs):
+        # Initialize ML Flow
+        mlflow.set_tracking_uri(kwargs["tracking_uri"])
+        logger.info("Tracking URI: %s", mlflow.get_tracking_uri())
+
+    config = Config()
+
+    CppConfig.set_should_use_cpp(False)
+
+    config.num_threads = os.cpu_count()
+
+    config.ae = ConfigAutoEncoder()
+
+    config.ae.feature_columns = load_labels_file(get_package_relative_file("data/columns_ae_azure.txt"))
+    config.ae.userid_column_name = "username"
+    config.ae.timestamp_column_name = "timestamp"
+
+    # Specify the column names to ensure all data is uniform
+    if (use_postproc_schema):
+
+        source_column_info = [
+            ColumnInfo(name="autonomousSystemNumber", dtype=str),
+            ColumnInfo(name="location_geoCoordinates_latitude", dtype=float),
+            ColumnInfo(name="location_geoCoordinates_longitude", dtype=float),
+            ColumnInfo(name="resourceDisplayName", dtype=str),
+            ColumnInfo(name="travel_speed_kmph", dtype=float),
+            DateTimeColumn(name=config.ae.timestamp_column_name, dtype=datetime, input_name="time"),
+            ColumnInfo(name="appDisplayName", dtype=str),
+            ColumnInfo(name="clientAppUsed", dtype=str),
+            RenameColumn(name=config.ae.userid_column_name, dtype=str, input_name="userPrincipalName"),
+            RenameColumn(name="deviceDetailbrowser", dtype=str, input_name="deviceDetail_browser"),
+            RenameColumn(name="deviceDetaildisplayName", dtype=str, input_name="deviceDetail_displayName"),
+            RenameColumn(name="deviceDetailoperatingSystem", dtype=str, input_name="deviceDetail_operatingSystem"),
+
+            # RenameColumn(name="location_country", dtype=str, input_name="location_countryOrRegion"),
+            ColumnInfo(name="location_city_state_country", dtype=str),
+            ColumnInfo(name="location_state_country", dtype=str),
+            ColumnInfo(name="location_country", dtype=str),
+
+            # Non-features
+            ColumnInfo(name="is_corp_vpn", dtype=bool),
+            ColumnInfo(name="distance_km", dtype=float),
+            ColumnInfo(name="ts_delta_hour", dtype=float),
+        ]
+        source_schema = DataFrameInputSchema(column_info=source_column_info)
+
+        preprocess_column_info = [
+            ColumnInfo(name=config.ae.timestamp_column_name, dtype=datetime),
+            ColumnInfo(name=config.ae.userid_column_name, dtype=str),
+
+            # Resource access
+            ColumnInfo(name="appDisplayName", dtype=str),
+            ColumnInfo(name="resourceDisplayName", dtype=str),
+            ColumnInfo(name="clientAppUsed", dtype=str),
+
+            # Device detail
+            ColumnInfo(name="deviceDetailbrowser", dtype=str),
+            ColumnInfo(name="deviceDetaildisplayName", dtype=str),
+            ColumnInfo(name="deviceDetailoperatingSystem", dtype=str),
+
+            # Location information
+            ColumnInfo(name="autonomousSystemNumber", dtype=str),
+            ColumnInfo(name="location_geoCoordinates_latitude", dtype=float),
+            ColumnInfo(name="location_geoCoordinates_longitude", dtype=float),
+            ColumnInfo(name="location_city_state_country", dtype=str),
+            ColumnInfo(name="location_state_country", dtype=str),
+            ColumnInfo(name="location_country", dtype=str),
+
+            # Derived information
+            ColumnInfo(name="travel_speed_kmph", dtype=float),
+
+            # Non-features
+            ColumnInfo(name="is_corp_vpn", dtype=bool),
+            ColumnInfo(name="distance_km", dtype=float),
+            ColumnInfo(name="ts_delta_hour", dtype=float),
+        ]
+
+        preprocess_schema = DataFrameInputSchema(column_info=preprocess_column_info, preserve_columns=["_batch_id"])
+
+        exclude_from_training = [
+            config.ae.userid_column_name,
+            config.ae.timestamp_column_name,
+            "is_corp_vpn",
+            "distance_km",
+            "ts_delta_hour",
+        ]
+
+        config.ae.feature_columns = [
+            name for (name, dtype) in preprocess_schema.output_columns if name not in exclude_from_training
+        ]
+    else:
+        source_column_info = [
+            DateTimeColumn(name=config.ae.timestamp_column_name, dtype=datetime, input_name="time"),
+            RenameColumn(name=config.ae.userid_column_name, dtype=str, input_name="properties.userPrincipalName"),
+            RenameColumn(name="appDisplayName", dtype=str, input_name="properties.appDisplayName"),
+            ColumnInfo(name="category", dtype=str),
+            RenameColumn(name="clientAppUsed", dtype=str, input_name="properties.clientAppUsed"),
+            RenameColumn(name="deviceDetailbrowser", dtype=str, input_name="properties.deviceDetail.browser"),
+            RenameColumn(name="deviceDetaildisplayName", dtype=str, input_name="properties.deviceDetail.displayName"),
+            RenameColumn(name="deviceDetailoperatingSystem",
+                         dtype=str,
+                         input_name="properties.deviceDetail.operatingSystem"),
+            StringCatColumn(name="location",
+                            dtype=str,
+                            input_columns=[
+                                "properties.location.city",
+                                "properties.location.countryOrRegion",
+                            ],
+                            sep=", "),
+            RenameColumn(name="statusfailureReason", dtype=str, input_name="properties.status.failureReason"),
+        ]
+
+        source_schema = DataFrameInputSchema(json_columns=["properties"], column_info=source_column_info)
+
+        # Preprocessing schema
+        preprocess_column_info = [
+            ColumnInfo(name=config.ae.timestamp_column_name, dtype=datetime),
+            ColumnInfo(name=config.ae.userid_column_name, dtype=str),
+            ColumnInfo(name="appDisplayName", dtype=str),
+            ColumnInfo(name="clientAppUsed", dtype=str),
+            ColumnInfo(name="deviceDetailbrowser", dtype=str),
+            ColumnInfo(name="deviceDetaildisplayName", dtype=str),
+            ColumnInfo(name="deviceDetailoperatingSystem", dtype=str),
+            ColumnInfo(name="statusfailureReason", dtype=str),
+
+            # Derived columns
+            IncrementColumn(name="logcount",
+                            dtype=int,
+                            input_name=config.ae.timestamp_column_name,
+                            groupby_column=config.ae.userid_column_name),
+            DistinctIncrementColumn(name="locincrement",
+                                    dtype=int,
+                                    input_name="location",
+                                    groupby_column=config.ae.userid_column_name,
+                                    timestamp_column=config.ae.timestamp_column_name),
+            DistinctIncrementColumn(name="appincrement",
+                                    dtype=int,
+                                    input_name="appDisplayName",
+                                    groupby_column=config.ae.userid_column_name,
+                                    timestamp_column=config.ae.timestamp_column_name)
+        ]
+
+        preprocess_schema = DataFrameInputSchema(column_info=preprocess_column_info, preserve_columns=["_batch_id"])
+
+    # Create a linear pipeline object
+    pipeline = LinearPipeline(config)
+
+    pipeline.set_source(
+        MultiFileSource(config,
+                        filenames=list(kwargs["input_file"]),
+                        watch=kwargs["watch_inputs"],
+                        watch_interval=kwargs["watch_interval"]))
+
+    # Batch files into batches by time. Use the default ISO date extractor from the filename
+    pipeline.add_stage(
+        DFPFileBatcherStage(config,
+                            period="D",
+                            sampling_rate_s=sample_rate_s,
+                            date_conversion_func=functools.partial(date_extractor, filename_regex=iso_date_regex),
+                            start_time=start_time,
+                            end_time=end_time))
+
+    parser_kwargs = None
+    if (file_type_override == FileTypes.JSON):
+        parser_kwargs = {"lines": False, "orient": "records"}
+    # Output is a list of fsspec files. Convert to DataFrames. This caches downloaded data
+    pipeline.add_stage(
+        DFPFileToDataFrameStage(
+            config,
+            schema=source_schema,
+            file_type=file_type_override,
+            parser_kwargs=parser_kwargs,  # TODO(Devin) probably should be configurable too
+            cache_dir=cache_dir))
+
+    pipeline.add_stage(MonitorStage(config, description="Input data rate"))
+
+    # This will split users or just use one single user
+    pipeline.add_stage(
+        DFPSplitUsersStage(config,
+                           include_generic=include_generic,
+                           include_individual=include_individual,
+                           skip_users=skip_users,
+                           only_users=only_users))
+
+    # Next, have a stage that will create rolling windows
+    pipeline.add_stage(
+        DFPRollingWindowStage(
+            config,
+            min_history=300 if is_training else 1,
+            min_increment=300 if is_training else 0,
+            # For inference, we only ever want 1 day max
+            max_history="60d" if is_training else "1d",
+            cache_dir=cache_dir))
+
+    # Output is UserMessageMeta -- Cached frame set
+    pipeline.add_stage(DFPPreprocessingStage(config, input_schema=preprocess_schema))
+
+    model_name_formatter = mlflow_model_name_template
+    experiment_name_formatter = mlflow_experiment_name_template
+
+    if (is_training):
+        # Finally, perform training which will output a model
+        pipeline.add_stage(DFPTraining(config, epochs=100, validation_size=0.15))
+
+        pipeline.add_stage(MonitorStage(config, description="Training rate", smoothing=0.001))
+
+        # Write that model to MLFlow
+        pipeline.add_stage(
+            DFPMLFlowModelWriterStage(config,
+                                      model_name_formatter=model_name_formatter,
+                                      experiment_name_formatter=experiment_name_formatter))
+    else:
+        # Perform inference on the preprocessed data
+        pipeline.add_stage(DFPInferenceStage(config, model_name_formatter=model_name_formatter))
+
+        pipeline.add_stage(MonitorStage(config, description="Inference rate", smoothing=0.001))
+
+        # Filter for only the anomalous logs
+        pipeline.add_stage(
+            FilterDetectionsStage(config,
+                                  threshold=filter_threshold,
+                                  filter_source=FilterSource.DATAFRAME,
+                                  field_name='mean_abs_z'))
+        pipeline.add_stage(DFPPostprocessingStage(config))
+
+        # Exclude the columns we don't want in our output
+        pipeline.add_stage(SerializeStage(config, exclude=['batch_count', 'origin_hash', '_row_hash', '_batch_id']))
+
+        # Write all anomalies to a CSV file
+        pipeline.add_stage(WriteToFileStage(config, filename=inference_detection_file_name, overwrite=True))
+
+    # Run the pipeline
+    pipeline.run()
+
+
+if __name__ == "__main__":
+    # pylint: disable=no-value-for-parameter
+    run_pipeline(obj={}, auto_envvar_prefix='DFP', show_default=True, prog_name="dfp")
diff --git a/examples/digital_fingerprinting/production/mlflow/Dockerfile b/examples/digital_fingerprinting/production/mlflow/Dockerfile
index 0afdfc44c1..df6e7b4edb 100644
--- a/examples/digital_fingerprinting/production/mlflow/Dockerfile
+++ b/examples/digital_fingerprinting/production/mlflow/Dockerfile
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,7 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-FROM python:3.8-slim-buster
+FROM python:3.10-slim-buster
 
 # Install curl for health check
 RUN apt update && \
diff --git a/examples/digital_fingerprinting/production/morpheus/benchmarks/README.md b/examples/digital_fingerprinting/production/morpheus/benchmarks/README.md
index cad1fe96d6..a9c09197d2 100644
--- a/examples/digital_fingerprinting/production/morpheus/benchmarks/README.md
+++ b/examples/digital_fingerprinting/production/morpheus/benchmarks/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -45,11 +45,9 @@ pip install -e /workspace
 
 Install additonal required dependencies:
 ```bash
-export CUDA_VER=11.8
-mamba install -n base -c conda-forge conda-merge
-conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml \
-  docker/conda/environments/cuda${CUDA_VER}_examples.yml > .tmp/merged.yml \
-  && mamba env update -n ${CONDA_DEFAULT_ENV} --file .tmp/merged.yml
+mamba env update \
+  -n ${CONDA_DEFAULT_ENV} \
+  --file ./conda/environments/examples_cuda-121_arch-x86_64.yaml
 ```
 
 
@@ -103,11 +101,11 @@ To ensure the [file_to_df_loader.py](../../../../../morpheus/loaders/file_to_df_
 export MORPHEUS_FILE_DOWNLOAD_TYPE=dask
 ```
 
-Benchmarks for an individual workflow can be run using the following in your dev container:
+Benchmarks for an individual workflow can be run from `examples/digital_fingerprinting/production/morpheus` in your dev container:
 
 ```
 
-pytest -s --log-level=WARN --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave test_bench_e2e_dfp_pipeline.py::<test-workflow>
+pytest -s --log-level=WARN --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave benchmarks/test_bench_e2e_dfp_pipeline.py::<test-workflow>
 ```
 The `-s` option allows outputs of pipeline execution to be displayed so you can ensure there are no errors while running your benchmarks.
 
@@ -137,12 +135,12 @@ The `--benchmark-warmup` and `--benchmark-warmup-iterations` options are used to
 
 For example, to run E2E benchmarks on the DFP training (modules) workflow on the azure logs:
 ```
-pytest -s --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave test_bench_e2e_dfp_pipeline.py::test_dfp_modules_azure_payload_lti_e2e
+pytest -s --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave benchmarks/test_bench_e2e_dfp_pipeline.py::test_dfp_modules_azure_payload_lti_e2e
 ```
 
 To run E2E benchmarks on all workflows:
 ```
-pytest -s --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave test_bench_e2e_dfp_pipeline.py
+pytest -s --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave benchmarks/test_bench_e2e_dfp_pipeline.py
 ```
 
 Here are the benchmark comparisons for individual tests. When the control message type is "payload", the rolling window stage is bypassed, whereas when it is "streaming", the windows are created with historical data.
diff --git a/examples/digital_fingerprinting/production/morpheus/benchmarks/benchmark_conf_generator.py b/examples/digital_fingerprinting/production/morpheus/benchmarks/benchmark_conf_generator.py
index d86ddbc660..734e3e17ed 100644
--- a/examples/digital_fingerprinting/production/morpheus/benchmarks/benchmark_conf_generator.py
+++ b/examples/digital_fingerprinting/production/morpheus/benchmarks/benchmark_conf_generator.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -161,6 +161,8 @@ def get_module_conf(self):
                                       source=(self.source),
                                       tracking_uri=mlflow.get_tracking_uri(),
                                       silence_monitors=True,
+                                      mlflow_experiment_name_formatter=self._get_experiment_name_formatter(),
+                                      mlflow_model_name_formatter=self._get_model_name_formatter(),
                                       train_users='generic')
         dfp_arg_parser.init()
         config_generator = ConfigGenerator(self.pipe_config, dfp_arg_parser, self.get_schema())
diff --git a/examples/digital_fingerprinting/production/morpheus/benchmarks/conftest.py b/examples/digital_fingerprinting/production/morpheus/benchmarks/conftest.py
index eaaadf9236..63c0dccc0a 100644
--- a/examples/digital_fingerprinting/production/morpheus/benchmarks/conftest.py
+++ b/examples/digital_fingerprinting/production/morpheus/benchmarks/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,7 +17,8 @@
 import json
 from os import path
 
-import GPUtil
+from pynvml.smi import NVSMI_QUERY_GPU
+from pynvml.smi import nvidia_smi
 
 from benchmarks.test_bench_e2e_dfp_pipeline import PIPELINES_CONF
 
@@ -32,18 +33,40 @@ def pytest_benchmark_update_json(config, benchmarks, output_json):  # pylint:dis
 
     curr_dir = path.dirname(path.abspath(__file__))
 
-    gpus = GPUtil.getGPUs()
-
-    for i, gpu in enumerate(gpus):
-        # output_json["machine_info"]["gpu_" + str(i)] = gpu.name
-        output_json["machine_info"]["gpu_" + str(i)] = {}
-        output_json["machine_info"]["gpu_" + str(i)]["id"] = gpu.id
-        output_json["machine_info"]["gpu_" + str(i)]["name"] = gpu.name
-        output_json["machine_info"]["gpu_" + str(i)]["load"] = f"{gpu.load*100}%"
-        output_json["machine_info"]["gpu_" + str(i)]["free_memory"] = f"{gpu.memoryFree}MB"
-        output_json["machine_info"]["gpu_" + str(i)]["used_memory"] = f"{gpu.memoryUsed}MB"
-        output_json["machine_info"]["gpu_" + str(i)]["temperature"] = f"{gpu.temperature} C"
-        output_json["machine_info"]["gpu_" + str(i)]["uuid"] = gpu.uuid
+    query_opts = NVSMI_QUERY_GPU.copy()
+    nvsmi = nvidia_smi.getInstance()
+    device_query = nvsmi.DeviceQuery([
+        query_opts["driver_version"],
+        query_opts["count"],
+        query_opts["index"],
+        query_opts["gpu_name"],
+        query_opts["gpu_uuid"],
+        query_opts["memory.total"],
+        query_opts["memory.used"],
+        query_opts["memory.free"],
+        query_opts["utilization.gpu"],
+        query_opts["utilization.memory"],
+        query_opts["temperature.gpu"]
+    ])
+
+    output_json["machine_info"]["gpu_driver_version"] = device_query["driver_version"]
+
+    for gpu in device_query["gpu"]:
+        gpu_num = gpu["minor_number"]
+        output_json["machine_info"]["gpu_" + gpu_num] = {}
+        output_json["machine_info"]["gpu_" + gpu_num]["id"] = gpu_num
+        output_json["machine_info"]["gpu_" + gpu_num]["name"] = gpu["product_name"]
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["utilization"] = f"{gpu['utilization']['gpu_util']}{gpu['utilization']['unit']}"
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["total_memory"] = f"{gpu['fb_memory_usage']['total']} {gpu['fb_memory_usage']['unit']}"
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["used_memory"] = f"{gpu['fb_memory_usage']['used']} {gpu['fb_memory_usage']['unit']}"
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["free_memory"] = f"{gpu['fb_memory_usage']['free']} {gpu['fb_memory_usage']['unit']}"
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["temperature"] = f"{gpu['temperature']['gpu_temp']} {gpu['temperature']['unit']}"
+        output_json["machine_info"]["gpu_" + gpu_num]["uuid"] = gpu["uuid"]
 
     for bench in output_json['benchmarks']:
 
diff --git a/examples/digital_fingerprinting/production/morpheus/benchmarks/test_bench_e2e_dfp_pipeline.py b/examples/digital_fingerprinting/production/morpheus/benchmarks/test_bench_e2e_dfp_pipeline.py
index 7a7a4ffc6d..9583821290 100644
--- a/examples/digital_fingerprinting/production/morpheus/benchmarks/test_bench_e2e_dfp_pipeline.py
+++ b/examples/digital_fingerprinting/production/morpheus/benchmarks/test_bench_e2e_dfp_pipeline.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -105,7 +105,7 @@ def dfp_training_pipeline_stages(pipe_config: Config,
                                  filenames: typing.List[str],
                                  reuse_cache=False):
 
-    configure_logging(logger.level)
+    configure_logging(log_level=logger.level)
 
     pipeline = LinearPipeline(pipe_config)
     pipeline.set_source(MultiFileSource(pipe_config, filenames=filenames))
@@ -157,7 +157,7 @@ def dfp_inference_pipeline_stages(pipe_config: Config,
                                   output_filepath: str,
                                   reuse_cache=False):
 
-    configure_logging(logger.level)
+    configure_logging(log_level=logger.level)
 
     pipeline = LinearPipeline(pipe_config)
     pipeline.set_source(MultiFileSource(pipe_config, filenames=filenames))
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_inference.json b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_inference.json
index a258cf3fd5..f8d2b9ed3a 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_inference.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_inference.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-inference-data/*.json"
+				"../../../data/dfp/azure-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_load_train_inference.json b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_load_train_inference.json
index 0286129151..bf0a3771ef 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_load_train_inference.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_load_train_inference.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-training-data/*.json"
+				"../../../data/dfp/azure-training-data/*.json"
 			  ]
 			}
 		  },
@@ -28,7 +28,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-inference-data/*.json"
+				"../../../data/dfp/azure-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_load_training.json b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_load_training.json
index d6e028d4eb..dad09e6062 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_load_training.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_load_training.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-training-data/*.json"
+				"../../../data/dfp/azure-training-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_lti.json b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_lti.json
index 97053f82a4..1b1e226145 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_lti.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_lti.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-training-data/*.json"
+				"../../../data/dfp/azure-training-data/*.json"
 			  ]
 			}
 		  },
@@ -34,7 +34,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-inference-data/*.json"
+				"../../../data/dfp/azure-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_training.json b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_training.json
index d6e028d4eb..dad09e6062 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_training.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_payload_training.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-training-data/*.json"
+				"../../../data/dfp/azure-training-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_inference.json b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_inference.json
index d122241e8c..9c5d889d5c 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_inference.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_inference.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-inference-data/*.json"
+				"../../../data/dfp/azure-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_lti.json b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_lti.json
index f798a1a475..7a28c85d73 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_lti.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_lti.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-training-data/*.json"
+				"../../../data/dfp/azure-training-data/*.json"
 			  ]
 			}
 		  },
@@ -34,7 +34,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-inference-data/*.json"
+				"../../../data/dfp/azure-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_training.json b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_training.json
index 8397489cb2..882b23a0a3 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_training.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/azure_streaming_training.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/azure-training-data/*.json"
+				"../../../data/dfp/azure-training-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_inference.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_inference.json
index 7b4bb9672a..ebd6669be7 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_inference.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_inference.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-inference-data/*.json"
+				"../../../data/dfp/duo-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_load_train_inference.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_load_train_inference.json
index e378d82760..e30f66ccfe 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_load_train_inference.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_load_train_inference.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-training-data/*.json"
+				"../../../data/dfp/duo-training-data/*.json"
 			  ]
 			}
 		  },
@@ -28,7 +28,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-inference-data/*.json"
+				"../../../data/dfp/duo-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_lti.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_lti.json
index 07c69233ba..382ff22808 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_lti.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_lti.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-training-data/*.json"
+				"../../../data/dfp/duo-training-data/*.json"
 			  ]
 			}
 		  },
@@ -34,7 +34,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-inference-data/*.json"
+				"../../../data/dfp/duo-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_only_load.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_only_load.json
index 3a214ea810..ed69cbf5af 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_only_load.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_only_load.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-inference-data/*.json"
+				"../../../data/dfp/duo-inference-data/*.json"
 			  ]
 			}
 		  }
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_training.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_training.json
index df21751d36..2b9995875f 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_training.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_payload_training.json
@@ -7,7 +7,7 @@
           "properties": {
             "loader_id": "fsspec",
             "files": [
-              "../../../../examples/data/dfp/duo-training-data/*.json"
+              "../../../data/dfp/duo-training-data/*.json"
             ]
           }
         },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_inference.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_inference.json
index fc1db57669..2b033b9d7c 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_inference.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_inference.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-inference-data/*.json"
+				"../../../data/dfp/duo-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_lti.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_lti.json
index 91d41cad22..d74bae952b 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_lti.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_lti.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../../examples/data/dfp/duo-training-data/*.json"
+				"../../../data/dfp/duo-training-data/*.json"
 			  ]
 			}
 		  },
@@ -34,7 +34,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../../examples/data/dfp/duo-inference-data/*.json"
+				"../../../data/dfp/duo-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_only_load.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_only_load.json
index 28b2a2f7f1..205842d72b 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_only_load.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_only_load.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-inference-data/*.json"
+				"../../../data/dfp/duo-inference-data/*.json"
 			  ]
 			}
 		  }
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_payload.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_payload.json
index ab5dadf0e5..3daf318961 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_payload.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_payload.json
@@ -7,7 +7,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-training-data/*.json"
+				"../../../data/dfp/duo-training-data/*.json"
 			  ]
 			}
 		  },
@@ -28,7 +28,7 @@
 			"properties": {
 			  "loader_id": "fsspec",
 			  "files": [
-				"../../../../examples/data/dfp/duo-inference-data/*.json"
+				"../../../data/dfp/duo-inference-data/*.json"
 			  ]
 			}
 		  },
diff --git a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_training.json b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_training.json
index 73cc9046d9..4486149127 100644
--- a/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_training.json
+++ b/examples/digital_fingerprinting/production/morpheus/control_messages/duo_streaming_training.json
@@ -7,7 +7,7 @@
           "properties": {
             "loader_id": "fsspec",
             "files": [
-              "../../../../examples/data/dfp/duo-training-data/*.json"
+              "../../../data/dfp/duo-training-data/*.json"
             ]
           }
         },
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/__init__.py b/examples/digital_fingerprinting/production/morpheus/dfp/__init__.py
index 081b2ae826..66061e580b 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/__init__.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/messages/__init__.py b/examples/digital_fingerprinting/production/morpheus/dfp/messages/__init__.py
index 081b2ae826..66061e580b 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/messages/__init__.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/messages/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/messages/multi_dfp_message.py b/examples/digital_fingerprinting/production/morpheus/dfp/messages/multi_dfp_message.py
index 8ba38bbcab..1f5290893e 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/messages/multi_dfp_message.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/messages/multi_dfp_message.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/__init__.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/__init__.py
index 549cf4c680..f274245601 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/__init__.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -21,7 +21,6 @@
 from dfp.modules import dfp_deployment
 from dfp.modules import dfp_inference
 from dfp.modules import dfp_inference_pipe
-from dfp.modules import dfp_monitor
 from dfp.modules import dfp_postprocessing
 from dfp.modules import dfp_preproc
 from dfp.modules import dfp_rolling_window
@@ -30,7 +29,6 @@
 from dfp.modules import dfp_training_pipe
 
 __all__ = [
-    "dfp_monitor",
     "dfp_split_users",
     "dfp_data_prep",
     "dfp_inference",
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_data_prep.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_data_prep.py
index 2ff13c95b3..0a91a21b2e 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_data_prep.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_data_prep.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_deployment.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_deployment.py
index 289c88a531..9ac3061b6b 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_deployment.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_deployment.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_inference.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_inference.py
index 8fa9ce97de..2dd4707245 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_inference.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_inference.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_inference_pipe.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_inference_pipe.py
index 38c533c833..b5dbbcf09c 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_inference_pipe.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_inference_pipe.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,8 +15,8 @@
 import logging
 
 import mrc
-from dfp.utils.module_ids import DFP_MONITOR
 
+from morpheus.modules.general.monitor import MonitorLoaderFactory
 from morpheus.utils.module_ids import FILTER_DETECTIONS
 from morpheus.utils.module_ids import MORPHEUS_MODULE_NAMESPACE
 from morpheus.utils.module_ids import SERIALIZE
@@ -164,7 +164,7 @@ def dfp_inference_pipe(builder: mrc.Builder):
     #                    |
     #                    v
     # +-------------------------------------+
-    # |         dfp_monitor_module          |
+    # |            monitor_module           |
     # +-------------------------------------+
     #                    |
     #                    v
@@ -174,7 +174,7 @@ def dfp_inference_pipe(builder: mrc.Builder):
     #                    |
     #                    v
     # +-------------------------------------+
-    # |         dfp_monitor_module          |
+    # |             monitor_module          |
     # +-------------------------------------+
     #                    |
     #                    v
@@ -199,7 +199,7 @@ def dfp_inference_pipe(builder: mrc.Builder):
     #                    |
     #                    v
     # +-------------------------------------+
-    # |         dfp_monitor_module          |
+    # |            monitor_module           |
     # +-------------------------------------+
     #                   |
     #                   v
@@ -282,7 +282,7 @@ def dfp_inference_pipe(builder: mrc.Builder):
     write_to_file_conf = merge_dictionaries(write_to_file_options, write_to_file_defaults)
 
     write_to_file_monitor_options = {"description": "Saved [inference_pipe]"}
-    write_to_file_monitor_module_conf = merge_dictionaries(write_to_file_monitor_options, monitor_options)
+    write_to_fm_conf = merge_dictionaries(write_to_file_monitor_options, monitor_options)
 
     # Load modules
     preproc_module = builder.load_module(DFP_PREPROC, "morpheus", "dfp_preproc", preproc_conf)
@@ -291,15 +291,16 @@ def dfp_inference_pipe(builder: mrc.Builder):
                                                     "dfp_rolling_window",
                                                     dfp_rolling_window_conf)
     dfp_data_prep_module = builder.load_module(DFP_DATA_PREP, "morpheus", "dfp_data_prep", dfp_data_prep_conf)
-    dfp_data_prep_monitor_module = builder.load_module(DFP_MONITOR,
-                                                       "morpheus",
-                                                       "dfp_inference_data_prep_monitor",
-                                                       data_prep_monitor_module_conf)
+
+    dfp_data_prep_loader = MonitorLoaderFactory.get_instance("dfp_inference_data_prep_monitor",
+                                                             module_config=data_prep_monitor_module_conf)
+
+    dfp_data_prep_monitor_module = dfp_data_prep_loader.load(builder=builder)
     dfp_inference_module = builder.load_module(DFP_INFERENCE, "morpheus", "dfp_inference", dfp_inference_conf)
-    dfp_inference_monitor_module = builder.load_module(DFP_MONITOR,
-                                                       "morpheus",
-                                                       "dfp_inference_monitor",
-                                                       inference_monitor_module_conf)
+
+    dfp_inference_monitor_loader = MonitorLoaderFactory.get_instance("dfp_inference_monitor",
+                                                                     module_config=inference_monitor_module_conf)
+    dfp_inference_monitor_module = dfp_inference_monitor_loader.load(builder=builder)
     filter_detections_module = builder.load_module(FILTER_DETECTIONS,
                                                    "morpheus",
                                                    "filter_detections",
@@ -310,10 +311,10 @@ def dfp_inference_pipe(builder: mrc.Builder):
                                                dfp_post_proc_conf)
     serialize_module = builder.load_module(SERIALIZE, "morpheus", "serialize", serialize_conf)
     write_to_file_module = builder.load_module(WRITE_TO_FILE, "morpheus", "write_to_file", write_to_file_conf)
-    dfp_write_to_file_monitor_module = builder.load_module(DFP_MONITOR,
-                                                           "morpheus",
-                                                           "dfp_inference_write_to_file",
-                                                           write_to_file_monitor_module_conf)
+
+    dfp_write_to_file_monitor_loader = MonitorLoaderFactory.get_instance("dfp_inference_write_to_file_monitor",
+                                                                         module_config=write_to_fm_conf)
+    dfp_write_to_file_monitor_module = dfp_write_to_file_monitor_loader.load(builder=builder)
 
     # Make an edge between the modules.
     builder.make_edge(preproc_module.output_port("output"), dfp_rolling_window_module.input_port("input"))
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_postprocessing.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_postprocessing.py
index 76b2a6db1b..b0a8ce464c 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_postprocessing.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_postprocessing.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_preproc.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_preproc.py
index 6e3d2ea07f..4dd89334dc 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_preproc.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_preproc.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,8 +15,8 @@
 import logging
 
 import mrc
-from dfp.utils.module_ids import DFP_MONITOR
 
+from morpheus.modules.general.monitor import MonitorLoaderFactory
 from morpheus.utils.loader_ids import FILE_TO_DF_LOADER
 from morpheus.utils.module_ids import DATA_LOADER
 from morpheus.utils.module_ids import FILE_BATCHER
@@ -73,7 +73,7 @@ def dfp_preproc(builder: mrc.Builder):
     #                |
     #                v
     # +-------------------------------+
-    # |     dfp_monitor_module        |
+    # |       monitor_module          |
     # +-------------------------------+
     #                |
     #                v
@@ -83,7 +83,7 @@ def dfp_preproc(builder: mrc.Builder):
     #                |
     #                v
     # +-------------------------------+
-    # |     dfp_monitor_module        |
+    # |       monitor_module          |
     # +-------------------------------+
     #                |
     #                v
@@ -146,15 +146,15 @@ def dfp_preproc(builder: mrc.Builder):
                                                        "morpheus",
                                                        "dfp_file_to_df_dataloader",
                                                        file_to_df_conf)
-    file_to_df_monitor_module = builder.load_module(DFP_MONITOR,
-                                                    "morpheus",
-                                                    "file_to_df_monitor",
-                                                    file_to_df_monitor_conf)
+
+    file_to_df_monitor_loader = MonitorLoaderFactory.get_instance("file_to_df_monitor_loader",
+                                                                  module_config=file_to_df_monitor_conf)
+    file_to_df_monitor_module = file_to_df_monitor_loader.load(builder=builder)
     dfp_split_users_module = builder.load_module(DFP_SPLIT_USERS, "morpheus", "dfp_split_users", dfp_split_users_conf)
-    dfp_split_users_monitor_module = builder.load_module(DFP_MONITOR,
-                                                         "morpheus",
-                                                         "dfp_training_ingested_monitor",
-                                                         dfp_split_users_monitor_conf)
+
+    dfp_split_users_monitor_loader = MonitorLoaderFactory.get_instance("dfp_split_users_monitor_loader",
+                                                                       module_config=dfp_split_users_monitor_conf)
+    dfp_split_users_monitor_module = dfp_split_users_monitor_loader.load(builder=builder)
 
     # Make an edge between the modules.
     builder.make_edge(filter_control_message_module.output_port("output"), file_batcher_module.input_port("input"))
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_rolling_window.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_rolling_window.py
index 26109aa2bf..c815f0e7f1 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_rolling_window.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_rolling_window.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_split_users.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_split_users.py
index 86fcfda0d6..a5757ac407 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_split_users.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_split_users.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -116,9 +116,10 @@ def generate_split_dataframes(users_df: pd.DataFrame):
         if (include_individual):
             # pylint: disable=unnecessary-comprehension
             # List comprehension is necessary here to convert to a dictionary
-            split_dataframes.update(
-                {username: user_df
-                 for username, user_df in users_df.groupby(userid_column_name, sort=False)})
+            split_dataframes.update({
+                username: user_df
+                for username, user_df in users_df.groupby(userid_column_name, sort=False)
+            })
 
         return split_dataframes
 
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_training.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_training.py
index c9e690e319..4965a1d609 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_training.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_training.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_training_pipe.py b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_training_pipe.py
index 9c35b0eefe..a3fd39edf4 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_training_pipe.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_training_pipe.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,8 +15,8 @@
 import logging
 
 import mrc
-from dfp.utils.module_ids import DFP_MONITOR
 
+from morpheus.modules.general.monitor import MonitorLoaderFactory
 from morpheus.utils.module_ids import MLFLOW_MODEL_WRITER
 from morpheus.utils.module_ids import MORPHEUS_MODULE_NAMESPACE
 from morpheus.utils.module_utils import merge_dictionaries
@@ -150,7 +150,7 @@ def dfp_training_pipe(builder: mrc.Builder):
     #                   |
     #                   v
     # +-------------------------------------+
-    # |         dfp_monitor_module          |
+    # |           monitor_module            |
     # +-------------------------------------+
     #                   |
     #                   v
@@ -160,7 +160,7 @@ def dfp_training_pipe(builder: mrc.Builder):
     #                   |
     #                   v
     # +-------------------------------------+
-    # |         dfp_monitor_module          |
+    # |           monitor_module            |
     # +-------------------------------------+
     #                   |
     #                   v
@@ -170,7 +170,7 @@ def dfp_training_pipe(builder: mrc.Builder):
     #                   |
     #                   v
     # +-------------------------------------+
-    # |         dfp_monitor_module          |
+    # |           monitor_module            |
     # +-------------------------------------+
     #                   |
     #                   v
@@ -260,23 +260,24 @@ def dfp_training_pipe(builder: mrc.Builder):
                                                     "dfp_rolling_window",
                                                     dfp_rolling_window_conf)
     dfp_data_prep_module = builder.load_module(DFP_DATA_PREP, "morpheus", "dfp_data_prep", dfp_data_prep_conf)
-    dfp_data_prep_monitor_module = builder.load_module(DFP_MONITOR,
-                                                       "morpheus",
-                                                       "dfp_training_data_prep_monitor",
-                                                       data_prep_monitor_module_conf)
+    dfp_data_prep_loader = MonitorLoaderFactory.get_instance("data_prep_monitor",
+                                                             module_config=data_prep_monitor_module_conf)
+    dfp_data_prep_monitor_module = dfp_data_prep_loader.load(builder=builder)
+
     dfp_training_module = builder.load_module(DFP_TRAINING, "morpheus", "dfp_training", dfp_training_conf)
-    dfp_training_monitor_module = builder.load_module(DFP_MONITOR,
-                                                      "morpheus",
-                                                      "dfp_training_training_monitor",
-                                                      training_monitor_module_conf)
+
+    dfp_training_monitor_loader = MonitorLoaderFactory.get_instance("training_monitor",
+                                                                    module_config=training_monitor_module_conf)
+    dfp_training_monitor_module = dfp_training_monitor_loader.load(builder=builder)
+
     mlflow_model_writer_module = builder.load_module(MLFLOW_MODEL_WRITER,
                                                      "morpheus",
                                                      "mlflow_model_writer",
                                                      mlflow_model_writer_conf)
-    mlflow_model_writer_monitor_module = builder.load_module(DFP_MONITOR,
-                                                             "morpheus",
-                                                             "dfp_training_mlflow_model_writer_monitor",
-                                                             mlflow_model_writer_module_conf)
+
+    mlflow_model_writer_loader = MonitorLoaderFactory.get_instance("mlflow_model_writer_monitor",
+                                                                   module_config=mlflow_model_writer_module_conf)
+    mlflow_model_writer_monitor_module = mlflow_model_writer_loader.load(builder=builder)
 
     # Make an edge between the modules.
     builder.make_edge(preproc_module.output_port("output"), dfp_rolling_window_module.input_port("input"))
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_batcher_stage.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_batcher_stage.py
index af8c4caa12..2c3511fa15 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_batcher_stage.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_batcher_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_to_df.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_to_df.py
index b482cbaf2e..5c13ee7c7e 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_to_df.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_to_df.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_inference_stage.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_inference_stage.py
index db7fb1b086..3d6570c9a4 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_inference_stage.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_inference_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_mlflow_model_writer.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_mlflow_model_writer.py
index acb4be533b..7d96144164 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_mlflow_model_writer.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_mlflow_model_writer.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_postprocessing_stage.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_postprocessing_stage.py
index e1fec0495f..f69a64c69e 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_postprocessing_stage.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_postprocessing_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_preprocessing_stage.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_preprocessing_stage.py
index cba3717a44..e221fe8574 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_preprocessing_stage.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_preprocessing_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_rolling_window_stage.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_rolling_window_stage.py
index 36d4c2eba1..7de0e63e44 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_rolling_window_stage.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_rolling_window_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_split_users_stage.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_split_users_stage.py
index 0c27e3c58d..af79fea01d 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_split_users_stage.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_split_users_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_training.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_training.py
index efaaf89372..a011b18ceb 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_training.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_training.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_viz_postproc.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_viz_postproc.py
index 65cf82f0f3..e8d747932f 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_viz_postproc.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_viz_postproc.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/multi_file_source.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/multi_file_source.py
index 0829ecabf3..16b70a8d3c 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/multi_file_source.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/multi_file_source.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/stages/write_to_s3_stage.py b/examples/digital_fingerprinting/production/morpheus/dfp/stages/write_to_s3_stage.py
index e91ae08ee8..45c3a01ef8 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/stages/write_to_s3_stage.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/stages/write_to_s3_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/__init__.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/__init__.py
index 081b2ae826..66061e580b 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/__init__.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/cached_user_window.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/cached_user_window.py
index cf6e84a944..74dc655444 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/cached_user_window.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/cached_user_window.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/config_generator.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/config_generator.py
index f38528710e..74befdbb51 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/config_generator.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/config_generator.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -38,6 +38,8 @@ def __init__(self, config: Config, dfp_arg_parser: DFPArgParser, schema: Schema,
         self._source_schema_str = pyobj2str(schema.source, encoding=encoding)
         self._preprocess_schema_str = pyobj2str(schema.preprocess, encoding=encoding)
         self._input_message_type = pyobj2str(MultiMessage, encoding)
+        self._start_time_str = self._dfp_arg_parser.time_fields.start_time.isoformat()
+        self._end_time_str = self._dfp_arg_parser.time_fields.end_time.isoformat()
 
     def get_module_conf(self):
         module_conf = {}
@@ -58,8 +60,8 @@ def infer_module_conf(self):
             "cache_dir": self._dfp_arg_parser.cache_dir,
             "batching_options": {
                 "sampling_rate_s": self._dfp_arg_parser.sample_rate_s,
-                "start_time": self._dfp_arg_parser.time_fields.start_time,
-                "end_time": self._dfp_arg_parser.time_fields.end_time,
+                "start_time": self._start_time_str,
+                "end_time": self._end_time_str,
                 "iso_date_regex_pattern": iso_date_regex_pattern,
                 "parser_kwargs": {
                     "lines": False, "orient": "records"
@@ -112,8 +114,8 @@ def train_module_conf(self):
             "cache_dir": self._dfp_arg_parser.cache_dir,
             "batching_options": {
                 "sampling_rate_s": self._dfp_arg_parser.sample_rate_s,
-                "start_time": self._dfp_arg_parser.time_fields.start_time,
-                "end_time": self._dfp_arg_parser.time_fields.end_time,
+                "start_time": self._start_time_str,
+                "end_time": self._end_time_str,
                 "iso_date_regex_pattern": iso_date_regex_pattern,
                 "parser_kwargs": {
                     "lines": False, "orient": "records"
@@ -156,7 +158,7 @@ def train_module_conf(self):
                 "timestamp_column_name": self._config.ae.timestamp_column_name,
                 "conda_env": {
                     'channels': ['defaults', 'conda-forge'],
-                    'dependencies': ['python=3.8', 'pip'],
+                    'dependencies': ['python=3.10', 'pip'],
                     'pip': ['mlflow', 'dfencoder'],
                     'name': 'mlflow-env'
                 }
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/dfp_arg_parser.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/dfp_arg_parser.py
index 2c5dc1bc4d..9fb64481e2 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/dfp_arg_parser.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/dfp_arg_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/logging_timer.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/logging_timer.py
index a00c073e38..e31c52fbc1 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/logging_timer.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/logging_timer.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -48,7 +48,7 @@ def _do_log_message(self, duration_ms: float):
 
 
 @contextmanager
-def log_time(log_fn, msg: str = None, *args, **kwargs):
+def log_time(log_fn, *args, msg: str = None, **kwargs):
 
     # Create an info object to allow users to set the message in the context block
     info = LogTimeInfo(log_fn=log_fn, msg=msg, args=args, kwargs=kwargs)
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/model_cache.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/model_cache.py
index ffc5304e5b..0440a455dc 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/model_cache.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/model_cache.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -225,7 +225,7 @@ def _model_exists(self, reg_model_name: str, timeout: float = 1.0) -> bool:
 
                         self._existing_models.update(model.name for model in results)
 
-                        if (len(results.token) == 0):
+                        if (results.token is None or len(results.token) == 0):
                             break
 
                     logger.debug("Updating list of available models... Done.")
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/module_ids.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/module_ids.py
index 734b4af210..aa0abaeaa9 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/module_ids.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/module_ids.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -26,4 +26,3 @@
 DFP_INFERENCE_PIPE = "DFPInferencePipe"
 DFP_TRAINING_PIPE = "DFPTrainingPipe"
 DFP_DEPLOYMENT = "DFPDeployment"
-DFP_MONITOR = "DFPMonitor"
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/regex_utils.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/regex_utils.py
index ca306d9acc..d3370e5148 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/regex_utils.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/regex_utils.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/schema_utils.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/schema_utils.py
index e8d60f2d68..28ce68f8c6 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/schema_utils.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/schema_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/utils/user_model_manager.py b/examples/digital_fingerprinting/production/morpheus/dfp/utils/user_model_manager.py
index f13340aeaf..1be733357f 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/utils/user_model_manager.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp/utils/user_model_manager.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp_azure_pipeline.py b/examples/digital_fingerprinting/production/morpheus/dfp_azure_pipeline.py
index f03359c871..e458105a4f 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp_azure_pipeline.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp_azure_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp_duo_pipeline.py b/examples/digital_fingerprinting/production/morpheus/dfp_duo_pipeline.py
index 9af7d2c2fe..51828764ab 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp_duo_pipeline.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp_duo_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp_integrated_training_batch_pipeline.py b/examples/digital_fingerprinting/production/morpheus/dfp_integrated_training_batch_pipeline.py
index c18da19ee4..5cd551055d 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp_integrated_training_batch_pipeline.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp_integrated_training_batch_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -103,12 +103,14 @@
               help=("The MLflow tracking URI to connect to the tracking backend."))
 @click.option('--mlflow_experiment_name_template',
               type=str,
-              default="dfp/{source}/training/{reg_model_name}",
-              help="The MLflow experiment name template to use when logging experiments. ")
+              default=None,
+              help=("The MLflow experiment name template to use when logging experiments."
+                    "If None, defaults to dfp/source/training/{reg_model_name}"))
 @click.option('--mlflow_model_name_template',
               type=str,
-              default="DFP-{source}-{user_id}",
-              help="The MLflow model name template to use when logging models. ")
+              default=None,
+              help=("The MLflow model name template to use when logging models."
+                    "If None, defaults to DFP-source-{user_id}"))
 @click.option("--disable_pre_filtering",
               is_flag=True,
               help=("Enabling this option will skip pre-filtering of json messages. "
@@ -140,6 +142,10 @@ def run_pipeline(source: str,
     if (skip_user and only_user):
         logging.error("Option --skip_user and --only_user are mutually exclusive. Exiting")
 
+    if mlflow_experiment_name_template is None:
+        mlflow_experiment_name_template = f'dfp/{source}/training/' + '{reg_model_name}'
+    if mlflow_model_name_template is None:
+        mlflow_model_name_template = f'DFP-{source}-' + '{user_id}'
     dfp_arg_parser = DFPArgParser(skip_user,
                                   only_user,
                                   start_time,
@@ -215,7 +221,7 @@ def run_pipeline(source: str,
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
-    # |   |      |         dfp_monitor_module          |   |    |    |           dfp_monitor_module         |   |   |
+    # |   |      |           monitor_module            |   |    |    |             monitor_module           |   |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
@@ -225,7 +231,7 @@ def run_pipeline(source: str,
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
-    # |   |      |         dfp_monitor_module          |   |    |    |           dfp_monitor_module        |    |   |
+    # |   |      |           monitor_module            |   |    |    |             monitor_module          |    |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
@@ -235,7 +241,7 @@ def run_pipeline(source: str,
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
-    # |   |      |          dfp_monitor_module         |   |    |    |        dfp_post_proc_module          |   |   |
+    # |   |      |            monitor_module           |   |    |    |        dfp_post_proc_module          |   |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
     # |    ------------------------------------------------     |                        |                      |   |
     # |                                                         |                        v                      |   |
@@ -250,7 +256,7 @@ def run_pipeline(source: str,
     # |                                                         |                        |                      |   |
     # |                                                         |                        v                      |   |
     # |                                                         |    +-------------------------------------+    |   |
-    # |                                                         |    |          dfp_monitor_module         |    |   |
+    # |                                                         |    |            monitor_module           |    |   |
     # |                                                         |    +-------------------------------------+    |   |
     # |                                                         ------------------------------------------------    |
     #  --------------------------------------------------------------------------------------------------------------
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp_integrated_training_streaming_pipeline.py b/examples/digital_fingerprinting/production/morpheus/dfp_integrated_training_streaming_pipeline.py
index e60792d6d3..55ebcf71a9 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp_integrated_training_streaming_pipeline.py
+++ b/examples/digital_fingerprinting/production/morpheus/dfp_integrated_training_streaming_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -103,12 +103,14 @@
               help=("The MLflow tracking URI to connect to the tracking backend."))
 @click.option('--mlflow_experiment_name_template',
               type=str,
-              default="dfp/{source}/training/{reg_model_name}",
-              help="The MLflow experiment name template to use when logging experiments. ")
+              default=None,
+              help=("The MLflow experiment name template to use when logging experiments."
+                    "If None, defaults to dfp/source/training/{reg_model_name}"))
 @click.option('--mlflow_model_name_template',
               type=str,
-              default="DFP-{source}-{user_id}",
-              help="The MLflow model name template to use when logging models. ")
+              default=None,
+              help=("The MLflow model name template to use when logging models."
+                    "If None, defaults to DFP-source-{user_id}"))
 @click.option('--bootstrap_servers',
               type=str,
               default="localhost:9092",
@@ -152,6 +154,11 @@ def run_pipeline(source: str,
     if (skip_user and only_user):
         logging.error("Option --skip_user and --only_user are mutually exclusive. Exiting")
 
+    if mlflow_experiment_name_template is None:
+        mlflow_experiment_name_template = f'dfp/{source}/training/' + '{reg_model_name}'
+    if mlflow_model_name_template is None:
+        mlflow_model_name_template = f'DFP-{source}-' + '{user_id}'
+
     dfp_arg_parser = DFPArgParser(skip_user,
                                   only_user,
                                   start_time,
@@ -227,7 +234,7 @@ def run_pipeline(source: str,
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
-    # |   |      |         dfp_monitor_module          |   |    |    |           dfp_monitor_module         |   |   |
+    # |   |      |           monitor_module            |   |    |    |             monitor_module           |   |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
@@ -237,7 +244,7 @@ def run_pipeline(source: str,
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
-    # |   |      |         dfp_monitor_module          |   |    |    |           dfp_monitor_module        |    |   |
+    # |   |      |           monitor_module            |   |    |    |             monitor_module          |    |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
@@ -247,7 +254,7 @@ def run_pipeline(source: str,
     # |   |                        |                       |    |                        |                      |   |
     # |   |                        v                       |    |                        v                      |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
-    # |   |      |          dfp_monitor_module         |   |    |    |        dfp_post_proc_module          |   |   |
+    # |   |      |            monitor_module           |   |    |    |        dfp_post_proc_module          |   |   |
     # |   |      +-------------------------------------+   |    |    + -------------------------------------+   |   |
     # |    ------------------------------------------------     |                        |                      |   |
     # |                                                         |                        v                      |   |
@@ -262,7 +269,7 @@ def run_pipeline(source: str,
     # |                                                         |                        |                      |   |
     # |                                                         |                        v                      |   |
     # |                                                         |    +-------------------------------------+    |   |
-    # |                                                         |    |          dfp_monitor_module         |    |   |
+    # |                                                         |    |            monitor_module           |    |   |
     # |                                                         |    +-------------------------------------+    |   |
     # |                                                         ------------------------------------------------    |
     #  --------------------------------------------------------------------------------------------------------------
diff --git a/examples/digital_fingerprinting/production/morpheus/launch.sh b/examples/digital_fingerprinting/production/morpheus/launch.sh
index a740f16a6e..d9e914189e 100755
--- a/examples/digital_fingerprinting/production/morpheus/launch.sh
+++ b/examples/digital_fingerprinting/production/morpheus/launch.sh
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/digital_fingerprinting/starter/README.md b/examples/digital_fingerprinting/starter/README.md
index 848b1ebfdc..ae67351feb 100644
--- a/examples/digital_fingerprinting/starter/README.md
+++ b/examples/digital_fingerprinting/starter/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -20,7 +20,7 @@ We show here how to set up and run the DFP pipeline for three log types: CloudTr
 
 ## Environment Setup
 
-Follow the instructions [here](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/docs/source/developer_guide/contributing.md) to set up your development environment in either a Docker container or conda environment.
+Follow the instructions [here](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/docs/source/developer_guide/contributing.md) to set up your development environment in either a Docker container or conda environment.
 
 ## Morpheus CLI
 
diff --git a/examples/digital_fingerprinting/starter/run_cloudtrail_dfp.py b/examples/digital_fingerprinting/starter/run_cloudtrail_dfp.py
index 5ed76a3bb3..1bbc0f4227 100644
--- a/examples/digital_fingerprinting/starter/run_cloudtrail_dfp.py
+++ b/examples/digital_fingerprinting/starter/run_cloudtrail_dfp.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/visualization/README.md b/examples/digital_fingerprinting/visualization/README.md
index 0b8f734915..820b808b36 100644
--- a/examples/digital_fingerprinting/visualization/README.md
+++ b/examples/digital_fingerprinting/visualization/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/visualization/dfp_viz_azure_pipeline.py b/examples/digital_fingerprinting/visualization/dfp_viz_azure_pipeline.py
index f826b1041b..966295a21f 100644
--- a/examples/digital_fingerprinting/visualization/dfp_viz_azure_pipeline.py
+++ b/examples/digital_fingerprinting/visualization/dfp_viz_azure_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/digital_fingerprinting/visualization/dfp_viz_duo_pipeline.py b/examples/digital_fingerprinting/visualization/dfp_viz_duo_pipeline.py
index 86588409f9..93bcbefed3 100644
--- a/examples/digital_fingerprinting/visualization/dfp_viz_duo_pipeline.py
+++ b/examples/digital_fingerprinting/visualization/dfp_viz_duo_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/doca/README.md b/examples/doca/README.md
index d05b93f471..86aad3d1fb 100644
--- a/examples/doca/README.md
+++ b/examples/doca/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -69,7 +69,7 @@ conda remove --force rdma-core
 
 To run the example from the Morpheus root directory and capture all TCP network traffic from the given NIC, use the following command and replace the `nic_addr` and `gpu_addr` arguments with your NIC and GPU PCIe addresses.
 ```
-# python examples/doca/run.py --nic_addr cc:00.1 --gpu_addr cf:00.0
+# python examples/doca/run.py --nic_addr cc:00.1 --gpu_addr cf:00.0 --traffic_type tcp
 ```
 ```
 ====Registering Pipeline====
@@ -117,4 +117,47 @@ Tokenize rate: 0 pkts [00:09, ? pkts/s]
 Inference rate: 0 pkts [00:09, ? pkts/s]
 AddClass rate: 0 pkts [00:09, ? pkts/s]
 ```
-The output can be found in `doca_output.csv`
\ No newline at end of file
+The output can be found in `doca_output.csv`
+
+## Running the Example for UDP traffic
+
+In case of UDP traffic, the sample will launch a simple pipeline with the DOCA Source Stage followed by a Monitor Stage to report number of received packets.
+Command line is similar to the TCP example.
+
+```
+python3 ./examples/doca/run.py --nic_addr 17:00.1 --gpu_addr ca:00.0 --traffic_type udp
+```
+UDP traffic can be easily sent with nping to the interface where Morpheus is listening:
+```
+nping --udp -c 100000 -p 4100 192.168.2.27 --data-length 1024 --delay 0.1ms
+```
+
+Morpheus output would be:
+```
+====Pipeline Pre-build====
+====Pre-Building Segment: linear_segment_0====
+====Pre-Building Segment Complete!====
+====Pipeline Pre-build Complete!====
+====Registering Pipeline====
+====Building Pipeline====
+EAL: Detected CPU lcores: 64
+EAL: Detected NUMA nodes: 2
+EAL: Detected shared linkage of DPDK
+EAL: Multi-process socket /var/run/dpdk/rte/mp_socket
+EAL: Selected IOVA mode 'PA'
+EAL: VFIO support initialized
+TELEMETRY: No legacy callbacks, legacy socket not created
+EAL: Probe PCI driver: mlx5_pci (15b3:a2dc) device: 0000:ca:00.0 (socket 1)
+EAL: Probe PCI driver: gpu_cuda (10de:2331) device: 0000:17:00.0 (socket 0)
+====Building Pipeline Complete!====
+DOCA GPUNetIO rate: 0 pkts [00:00, ? pkts/s]====Registering Pipeline Complete!====
+====Starting Pipeline====
+====Pipeline Started====
+====Building Segment: linear_segment_0====
+Added source: <from-doca-0; DocaSourceStage(nic_pci_address=ca:00.0, gpu_pci_address=17:00.0, traffic_type=udp)>
+  └─> morpheus.MessageMeta
+Added stage: <monitor-1; MonitorStage(description=DOCA GPUNetIO rate, smoothing=0.05, unit=pkts, delayed_start=False, determine_count_fn=None, log_level=LogLevels.INFO)>
+  └─ morpheus.MessageMeta -> morpheus.MessageMeta
+====Building Segment Complete!====
+DOCA GPUNetIO rate: 100000 pkts [00:12, 10963.39 pkts/s]
+```
\ No newline at end of file
diff --git a/examples/doca/run.py b/examples/doca/run.py
index c1f392376d..a2a4415f04 100644
--- a/examples/doca/run.py
+++ b/examples/doca/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -32,12 +32,6 @@
 
 
 @click.command()
-@click.option(
-    "--num_threads",
-    default=1,
-    type=click.IntRange(min=1),
-    help="Number of internal pipeline threads to use",
-)
 @click.option(
     "--pipeline_batch_size",
     default=1024,
@@ -72,8 +66,18 @@
     help="GPU PCI Address",
     required=True,
 )
-def run_pipeline(num_threads, pipeline_batch_size, model_max_batch_size, model_fea_length, out_file, nic_addr,
-                 gpu_addr):
+@click.option(
+    "--traffic_type",
+    help="UDP or TCP traffic",
+    required=True,
+)
+def run_pipeline(pipeline_batch_size,
+                 model_max_batch_size,
+                 model_fea_length,
+                 out_file,
+                 nic_addr,
+                 gpu_addr,
+                 traffic_type):
     # Enable the default logger
     configure_logging(log_level=logging.DEBUG)
 
@@ -83,7 +87,7 @@ def run_pipeline(num_threads, pipeline_batch_size, model_max_batch_size, model_f
     config.mode = PipelineModes.NLP
 
     # Below properties are specified by the command line
-    config.num_threads = num_threads
+    config.num_threads = 4
     config.pipeline_batch_size = pipeline_batch_size
     config.model_max_batch_size = model_max_batch_size
     config.feature_length = model_fea_length
@@ -107,48 +111,52 @@ def run_pipeline(num_threads, pipeline_batch_size, model_max_batch_size, model_f
     pipeline = LinearPipeline(config)
 
     # add doca source stage
-    pipeline.set_source(DocaSourceStage(config, nic_addr, gpu_addr))
-    pipeline.add_stage(MonitorStage(config, description="DOCA GPUNetIO rate", unit='pkts'))
-
-    # add deserialize stage
-    pipeline.add_stage(DeserializeStage(config))
-    pipeline.add_stage(MonitorStage(config, description="Deserialize rate", unit='pkts'))
-
-    # add preprocessing stage
-    pipeline.add_stage(
-        PreprocessNLPStage(
-            config,
-            vocab_hash_file='/workspace/models/training-tuning-scripts/sid-models/resources/bert-base-uncased-hash.txt',
-            do_lower_case=True,
-            truncation=True,
-            add_special_tokens=False,
-            column='data'))
-
-    pipeline.add_stage(MonitorStage(config, description="Tokenize rate", unit='pkts'))
-
-    # add inference stage
-    pipeline.add_stage(
-        TritonInferenceStage(
-            config,
-            # model_name="sid-minibert-trt",
-            model_name="sid-minibert-onnx",
-            server_url="localhost:8000",
-            force_convert_inputs=True,
-            use_shared_memory=True))
-
-    pipeline.add_stage(MonitorStage(config, description="Inference rate", unit='pkts'))
-
-    # add class stage
-    pipeline.add_stage(AddClassificationsStage(config))
-    pipeline.add_stage(MonitorStage(config, description="AddClass rate", unit='pkts'))
-
-    # serialize
-    pipeline.add_stage(SerializeStage(config))
-    pipeline.add_stage(MonitorStage(config, description="Serialize rate", unit='pkts'))
-
-    # write to file
-    pipeline.add_stage(WriteToFileStage(config, filename=out_file, overwrite=True))
-    pipeline.add_stage(MonitorStage(config, description="Write to file rate", unit='pkts'))
+    pipeline.set_source(DocaSourceStage(config, nic_addr, gpu_addr, traffic_type))
+
+    if traffic_type == 'udp':
+        pipeline.add_stage(MonitorStage(config, description="DOCA GPUNetIO rate", unit='pkts'))
+
+    if traffic_type == 'tcp':
+        # add deserialize stage
+        pipeline.add_stage(DeserializeStage(config))
+        pipeline.add_stage(MonitorStage(config, description="Deserialize rate", unit='pkts'))
+
+        hashfile = '/workspace/models/training-tuning-scripts/sid-models/resources/bert-base-uncased-hash.txt'
+
+        # add preprocessing stage
+        pipeline.add_stage(
+            PreprocessNLPStage(config,
+                               vocab_hash_file=hashfile,
+                               do_lower_case=True,
+                               truncation=True,
+                               add_special_tokens=False,
+                               column='data'))
+
+        pipeline.add_stage(MonitorStage(config, description="Tokenize rate", unit='pkts'))
+
+        # add inference stage
+        pipeline.add_stage(
+            TritonInferenceStage(
+                config,
+                # model_name="sid-minibert-trt",
+                model_name="sid-minibert-onnx",
+                server_url="localhost:8000",
+                force_convert_inputs=True,
+                use_shared_memory=True))
+
+        pipeline.add_stage(MonitorStage(config, description="Inference rate", unit='pkts'))
+
+        # add class stage
+        pipeline.add_stage(AddClassificationsStage(config))
+        pipeline.add_stage(MonitorStage(config, description="AddClass rate", unit='pkts'))
+
+        # serialize
+        pipeline.add_stage(SerializeStage(config))
+        pipeline.add_stage(MonitorStage(config, description="Serialize rate", unit='pkts'))
+
+        # write to file
+        pipeline.add_stage(WriteToFileStage(config, filename=out_file, overwrite=True))
+        pipeline.add_stage(MonitorStage(config, description="Write to file rate", unit='pkts'))
 
     # Build the pipeline here to see types in the vizualization
     pipeline.build()
diff --git a/examples/gnn_fraud_detection_pipeline/README.md b/examples/gnn_fraud_detection_pipeline/README.md
index 8d7aae086a..c61f288499 100644
--- a/examples/gnn_fraud_detection_pipeline/README.md
+++ b/examples/gnn_fraud_detection_pipeline/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,11 +21,10 @@ limitations under the License.
 Prior to running the GNN fraud detection pipeline, additional requirements must be installed in to your Conda environment. A supplemental requirements file has been provided in this example directory.
 
 ```bash
-export CUDA_VER=11.8
-mamba install -n base -c conda-forge conda-merge
-conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml \
-  examples/gnn_fraud_detection_pipeline/requirements.yml > .tmp/merged.yml \
-  && mamba env update -n ${CONDA_DEFAULT_ENV} --file .tmp/merged.yml
+export CUDA_VER=12.1
+mamba env update \
+  -n ${CONDA_DEFAULT_ENV} \
+  --file ./conda/environments/examples_cuda-121_arch-x86_64.yaml
 ```
 
 ## Running
diff --git a/examples/gnn_fraud_detection_pipeline/__init__.py b/examples/gnn_fraud_detection_pipeline/__init__.py
index 1269e1c33a..e676f00398 100644
--- a/examples/gnn_fraud_detection_pipeline/__init__.py
+++ b/examples/gnn_fraud_detection_pipeline/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/gnn_fraud_detection_pipeline/run.py b/examples/gnn_fraud_detection_pipeline/run.py
index 6fe0cfb804..58374a8c2b 100644
--- a/examples/gnn_fraud_detection_pipeline/run.py
+++ b/examples/gnn_fraud_detection_pipeline/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/gnn_fraud_detection_pipeline/stages/__init__.py b/examples/gnn_fraud_detection_pipeline/stages/__init__.py
index 87f77145af..981f4d2051 100644
--- a/examples/gnn_fraud_detection_pipeline/stages/__init__.py
+++ b/examples/gnn_fraud_detection_pipeline/stages/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/gnn_fraud_detection_pipeline/stages/classification_stage.py b/examples/gnn_fraud_detection_pipeline/stages/classification_stage.py
index 56e853303c..d4daad44df 100644
--- a/examples/gnn_fraud_detection_pipeline/stages/classification_stage.py
+++ b/examples/gnn_fraud_detection_pipeline/stages/classification_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/gnn_fraud_detection_pipeline/stages/graph_construction_stage.py b/examples/gnn_fraud_detection_pipeline/stages/graph_construction_stage.py
index 81bf2211d4..da00dacf73 100644
--- a/examples/gnn_fraud_detection_pipeline/stages/graph_construction_stage.py
+++ b/examples/gnn_fraud_detection_pipeline/stages/graph_construction_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/gnn_fraud_detection_pipeline/stages/graph_sage_stage.py b/examples/gnn_fraud_detection_pipeline/stages/graph_sage_stage.py
index 3dc9f56c6a..b3c3c360f6 100644
--- a/examples/gnn_fraud_detection_pipeline/stages/graph_sage_stage.py
+++ b/examples/gnn_fraud_detection_pipeline/stages/graph_sage_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -95,7 +95,8 @@ def _process_message(self, message: FraudGraphMultiMessage) -> GraphSAGEMultiMes
         inductive_embedding.rename(lambda x: "ind_emb_" + str(x), axis=1, inplace=True)
 
         for col in inductive_embedding.columns.values.tolist():
-            message.set_meta(col, inductive_embedding[col])
+            # without `to_pandas`, all values in the meta become `<NA>`
+            message.set_meta(col, inductive_embedding[col].to_pandas())
 
         assert (message.mess_count == len(inductive_embedding))
 
diff --git a/examples/gnn_fraud_detection_pipeline/stages/model.py b/examples/gnn_fraud_detection_pipeline/stages/model.py
index 36ce64b6aa..eac1a6f2e6 100644
--- a/examples/gnn_fraud_detection_pipeline/stages/model.py
+++ b/examples/gnn_fraud_detection_pipeline/stages/model.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/llm/agents/README.md b/examples/llm/agents/README.md
index 8728091be6..00c84baee9 100644
--- a/examples/llm/agents/README.md
+++ b/examples/llm/agents/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -95,11 +95,9 @@ export SERPAPI_API_KEY="<YOUR_SERPAPI_API_KEY>"
 Install the required dependencies.
 
 ```bash
-export CUDA_VER=11.8
-mamba install -n base -c conda-forge conda-merge
-conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml \
-  docker/conda/environments/cuda${CUDA_VER}_examples.yml > .tmp/merged.yml \
-  && mamba env update -n ${CONDA_DEFAULT_ENV} --file .tmp/merged.yml
+mamba env update \
+  -n ${CONDA_DEFAULT_ENV} \
+  --file ./conda/environments/examples_cuda-121_arch-x86_64.yaml
 ```
 
 
diff --git a/examples/llm/agents/__init__.py b/examples/llm/agents/__init__.py
index fed725db1e..6c98418921 100644
--- a/examples/llm/agents/__init__.py
+++ b/examples/llm/agents/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/agents/kafka_pipeline.py b/examples/llm/agents/kafka_pipeline.py
index 3f1b609205..91a8ee8add 100644
--- a/examples/llm/agents/kafka_pipeline.py
+++ b/examples/llm/agents/kafka_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -39,7 +39,7 @@
 
 def _build_agent_executor(model_name: str) -> AgentExecutor:
 
-    llm = OpenAIChat(model=model_name, temperature=0)
+    llm = OpenAIChat(model_name=model_name, model_kwargs={"temperature": 0.0}, client=None)
 
     tools = load_tools(["serpapi", "llm-math"], llm=llm)
 
diff --git a/examples/llm/agents/requirements.yaml b/examples/llm/agents/requirements.yaml
deleted file mode 100644
index fe18ac788e..0000000000
--- a/examples/llm/agents/requirements.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-channels:
-  - huggingface
-  - conda-forge
-  - defaults
-dependencies:
-  - langchain=0.0.190
-  - pip
-  - requests-cache=1.1
-  - sentence-transformers
-  - transformers
-
-  ####### Pip Transitive Dependencies (keep sorted!) #######
-  # These are dependencies that are available on conda, but are required by the pip packages listed below. Its much
-  # better to install them with conda than pip to allow for better dependency resolution.
-
-
-  ####### Pip Dependencies (keep sorted!) #######
-  - pip:
-    - grpcio-status==1.58 # To keep in sync with 1.58 grpcio which is installed for Morpheus
-    - nemollm
diff --git a/examples/llm/agents/run.py b/examples/llm/agents/run.py
index 2801fd1412..2c53f8c35d 100644
--- a/examples/llm/agents/run.py
+++ b/examples/llm/agents/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/agents/simple_pipeline.py b/examples/llm/agents/simple_pipeline.py
index 982b574b7e..9b2b95c611 100644
--- a/examples/llm/agents/simple_pipeline.py
+++ b/examples/llm/agents/simple_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,11 +15,11 @@
 import logging
 import time
 
-from langchain import OpenAI
 from langchain.agents import AgentType
 from langchain.agents import initialize_agent
 from langchain.agents import load_tools
 from langchain.agents.agent import AgentExecutor
+from langchain.llms.openai import OpenAI
 
 import cudf
 
@@ -43,7 +43,7 @@
 
 def _build_agent_executor(model_name: str) -> AgentExecutor:
 
-    llm = OpenAI(model=model_name, temperature=0)
+    llm = OpenAI(model=model_name, temperature=0.0, client=None)
 
     tools = load_tools(["serpapi", "llm-math"], llm=llm)
 
diff --git a/examples/llm/cli.py b/examples/llm/cli.py
index 5d67a9db55..1ea9198dc1 100644
--- a/examples/llm/cli.py
+++ b/examples/llm/cli.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/common/__init__.py b/examples/llm/common/__init__.py
index ce94db52fa..57bbf5c626 100644
--- a/examples/llm/common/__init__.py
+++ b/examples/llm/common/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/common/utils.py b/examples/llm/common/utils.py
index 23e9f69559..1779bb6c88 100644
--- a/examples/llm/common/utils.py
+++ b/examples/llm/common/utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -11,13 +11,16 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+
 import logging
 
 import pymilvus
-from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.embeddings import HuggingFaceEmbeddings  # pylint: disable=no-name-in-module
 
+from morpheus.llm.services.llm_service import LLMService
 from morpheus.llm.services.nemo_llm_service import NeMoLLMService
 from morpheus.llm.services.openai_chat_service import OpenAIChatService
+from morpheus.service.vdb.milvus_client import DATA_TYPE_MAP
 from morpheus.service.vdb.milvus_vector_db_service import MilvusVectorDBService
 from morpheus.service.vdb.utils import VectorDBServiceFactory
 
@@ -32,20 +35,34 @@ def build_huggingface_embeddings(model_name: str, model_kwargs: dict = None, enc
 
 def build_llm_service(model_name: str, llm_service: str, tokens_to_generate: int, **model_kwargs):
     lowered_llm_service = llm_service.lower()
+
+    service: LLMService | None = None
+
     if (lowered_llm_service == 'nemollm'):
         model_kwargs['tokens_to_generate'] = tokens_to_generate
-        llm_service = NeMoLLMService()
+        service = NeMoLLMService()
     elif (lowered_llm_service == 'openai'):
         model_kwargs['max_tokens'] = tokens_to_generate
-        llm_service = OpenAIChatService()
+        service = OpenAIChatService()
     else:
-        # TODO(Devin) : Add additional options
         raise RuntimeError(f"Unsupported LLM service name: {llm_service}")
 
-    return llm_service.get_client(model_name, **model_kwargs)
+    return service.get_client(model_name=model_name, **model_kwargs)
+
+
+def build_milvus_config(resource_schema_config: dict):
+    schema_fields = []
+    for field_data in resource_schema_config["schema_conf"]["schema_fields"]:
+        field_data["dtype"] = DATA_TYPE_MAP.get(field_data["dtype"])
+        field_schema = pymilvus.FieldSchema(**field_data)
+        schema_fields.append(field_schema.to_dict())
 
+    resource_schema_config["schema_conf"]["schema_fields"] = schema_fields
 
-def build_milvus_config(embedding_size: int):
+    return resource_schema_config
+
+
+def build_default_milvus_config(embedding_size: int):
     milvus_resource_kwargs = {
         "index_conf": {
             "field_name": "embedding",
@@ -93,47 +110,8 @@ def build_milvus_config(embedding_size: int):
 
 
 def build_milvus_service(embedding_size: int, uri: str = "http://localhost:19530"):
-    milvus_resource_kwargs = build_milvus_config(embedding_size)
+    default_service = build_default_milvus_config(embedding_size)
 
-    vdb_service: MilvusVectorDBService = VectorDBServiceFactory.create_instance("milvus",
-                                                                                uri=uri,
-                                                                                **milvus_resource_kwargs)
+    vdb_service: MilvusVectorDBService = VectorDBServiceFactory.create_instance("milvus", uri=uri, **default_service)
 
     return vdb_service
-
-
-def build_rss_urls():
-    return [
-        "https://www.theregister.com/security/headlines.atom",
-        "https://isc.sans.edu/dailypodcast.xml",
-        "https://threatpost.com/feed/",
-        "http://feeds.feedburner.com/TheHackersNews?format=xml",
-        "https://www.bleepingcomputer.com/feed/",
-        "https://therecord.media/feed/",
-        "https://blog.badsectorlabs.com/feeds/all.atom.xml",
-        "https://krebsonsecurity.com/feed/",
-        "https://www.darkreading.com/rss_simple.asp",
-        "https://blog.malwarebytes.com/feed/",
-        "https://msrc.microsoft.com/blog/feed",
-        "https://securelist.com/feed",
-        "https://www.crowdstrike.com/blog/feed/",
-        "https://threatconnect.com/blog/rss/",
-        "https://news.sophos.com/en-us/feed/",
-        "https://www.us-cert.gov/ncas/current-activity.xml",
-        "https://www.csoonline.com/feed",
-        "https://www.cyberscoop.com/feed",
-        "https://research.checkpoint.com/feed",
-        "https://feeds.fortinet.com/fortinet/blog/threat-research",
-        "https://www.mcafee.com/blogs/rss",
-        "https://www.digitalshadows.com/blog-and-research/rss.xml",
-        "https://www.nist.gov/news-events/cybersecurity/rss.xml",
-        "https://www.sentinelone.com/blog/rss/",
-        "https://www.bitdefender.com/blog/api/rss/labs/",
-        "https://www.welivesecurity.com/feed/",
-        "https://unit42.paloaltonetworks.com/feed/",
-        "https://mandiant.com/resources/blog/rss.xml",
-        "https://www.wired.com/feed/category/security/latest/rss",
-        "https://www.wired.com/feed/tag/ai/latest/rss",
-        "https://blog.google/threat-analysis-group/rss/",
-        "https://intezer.com/feed/",
-    ]
diff --git a/examples/llm/common/web_scraper_stage.py b/examples/llm/common/web_scraper_stage.py
deleted file mode 100644
index b18ccb399a..0000000000
--- a/examples/llm/common/web_scraper_stage.py
+++ /dev/null
@@ -1,181 +0,0 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import logging
-import os
-import typing
-
-import mrc
-import mrc.core.operators as ops
-import pandas as pd
-import requests
-import requests_cache
-from bs4 import BeautifulSoup
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-
-import cudf
-
-from morpheus.config import Config
-from morpheus.messages import MessageMeta
-from morpheus.pipeline.single_port_stage import SinglePortStage
-from morpheus.pipeline.stage_schema import StageSchema
-
-logger = logging.getLogger(f"morpheus.{__name__}")
-
-
-class WebScraperStage(SinglePortStage):
-    """
-    Stage for scraping web based content using the HTTP GET protocol.
-
-    Parameters
-    ----------
-    c : morpheus.config.Config
-        Pipeline configuration instance.
-    chunk_size : int
-        Size in which to split the scraped content.
-    link_column : str, default="link"
-        Column which contains the links to scrape.
-    enable_cache : bool, default = False
-        Enables caching for requests data.
-    cache_path : str, default="./.cache/http/RSSDownloadStage.sqlite"
-        The path for the response caching system's sqlite database.
-    """
-
-    def __init__(self,
-                 c: Config,
-                 *,
-                 chunk_size: int,
-                 link_column: str = "link",
-                 enable_cache: bool = False,
-                 cache_path: str = "./.cache/http/RSSDownloadStage.sqlite"):
-        super().__init__(c)
-
-        self._link_column = link_column
-        self._chunk_size = chunk_size
-        self._cache_dir = "./.cache/llm/rss/"
-
-        # Ensure the directory exists
-        os.makedirs(self._cache_dir, exist_ok=True)
-
-        self._text_splitter = RecursiveCharacterTextSplitter(chunk_size=self._chunk_size,
-                                                             chunk_overlap=self._chunk_size // 10,
-                                                             length_function=len)
-
-        if enable_cache:
-            self._session = requests_cache.CachedSession(cache_path, backend="sqlite")
-        else:
-            self._session = requests.Session()
-
-        self._session.headers.update({
-            "User-Agent":
-                "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36"
-        })
-
-    @property
-    def name(self) -> str:
-        """Returns the name of this stage."""
-        return "rss-download"
-
-    def accepted_types(self) -> typing.Tuple:
-        """
-        Returns accepted input types for this stage.
-
-        Returns
-        -------
-        typing.Tuple(`morpheus.pipeline.messages.MessageMeta`, )
-            Accepted input types.
-
-        """
-        return (MessageMeta, )
-
-    def supports_cpp_node(self):
-        """Indicates whether this stage supports a C++ node."""
-        return False
-
-    def compute_schema(self, schema: StageSchema):
-        schema.output_schema.set_type(MessageMeta)
-
-    def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
-
-        node = builder.make_node(self.unique_name,
-                                 ops.map(self._download_and_split),
-                                 ops.filter(lambda x: x is not None))
-
-        node.launch_options.pe_count = self._config.num_threads
-
-        builder.make_edge(input_node, node)
-
-        return node
-
-    def _download_and_split(self, msg: MessageMeta) -> MessageMeta:
-        """
-        Uses the HTTP GET method to download/scrape the links found in the message, splits the scraped data, and stores
-        it in the output, excludes output for any links which produce an error.
-        """
-        if self._link_column not in msg.get_column_names():
-            return None
-
-        df = msg.df
-
-        if isinstance(df, cudf.DataFrame):
-            df: pd.DataFrame = df.to_pandas()
-
-        # Convert the dataframe into a list of dictionaries
-        df_dicts = df.to_dict(orient="records")
-
-        final_rows: list[dict] = []
-
-        for row in df_dicts:
-
-            url = row[self._link_column]
-
-            try:
-                # Try to get the page content
-                response = self._session.get(url)
-
-                if (not response.ok):
-                    logger.warning(
-                        "Error downloading document from URL '%s'. " + "Returned code: %s. With reason: '%s'",
-                        url,
-                        response.status_code,
-                        response.reason)
-                    continue
-
-                raw_html = response.text
-
-                soup = BeautifulSoup(raw_html, "html.parser")
-
-                text = soup.get_text(strip=True, separator=' ')
-
-                split_text = self._text_splitter.split_text(text)
-
-                for text in split_text:
-                    row_cp = row.copy()
-                    row_cp.update({"page_content": text})
-                    final_rows.append(row_cp)
-
-                if isinstance(response, requests_cache.models.response.CachedResponse):
-                    logger.debug("Processed page: '%s'. Cache hit: %s", url, response.from_cache)
-                else:
-                    logger.debug("Processed page: '%s'", url)
-
-            except ValueError as exc:
-                logger.error("Error parsing document: %s", exc)
-                continue
-            except Exception as exc:
-                logger.error("Error downloading document from URL '%s'. Error: %s", url, exc)
-                continue
-
-        # Not using cudf to avoid error: pyarrow.lib.ArrowInvalid: cannot mix list and non-list, non-null values
-        return MessageMeta(pd.DataFrame(final_rows))
diff --git a/examples/llm/completion/README.md b/examples/llm/completion/README.md
index 50678b25c4..e2d2d7091f 100644
--- a/examples/llm/completion/README.md
+++ b/examples/llm/completion/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -66,11 +66,9 @@ Before running the pipeline, ensure that the `NGC_API_KEY` environment variable
 Install the required dependencies.
 
 ```bash
-export CUDA_VER=11.8
-mamba install -n base -c conda-forge conda-merge
-conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml \
-  docker/conda/environments/cuda${CUDA_VER}_examples.yml > .tmp/merged.yml \
-  && mamba env update -n ${CONDA_DEFAULT_ENV} --file .tmp/merged.yml
+mamba env update \
+  -n ${CONDA_DEFAULT_ENV} \
+  --file ./conda/environments/examples_cuda-121_arch-x86_64.yaml
 ```
 
 
diff --git a/examples/llm/completion/__init__.py b/examples/llm/completion/__init__.py
index fed725db1e..6c98418921 100644
--- a/examples/llm/completion/__init__.py
+++ b/examples/llm/completion/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/completion/pipeline.py b/examples/llm/completion/pipeline.py
index c745b9bf3e..80f5e8ea0f 100644
--- a/examples/llm/completion/pipeline.py
+++ b/examples/llm/completion/pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -19,6 +19,7 @@
 
 from morpheus.config import Config
 from morpheus.config import PipelineModes
+from morpheus.io.deserializers import read_file_to_df
 from morpheus.llm import LLMEngine
 from morpheus.llm.nodes.extracter_node import ExtracterNode
 from morpheus.llm.nodes.llm_generate_node import LLMGenerateNode
@@ -53,8 +54,8 @@ def _build_engine(llm_service: str):
     else:
         raise ValueError(f"Invalid LLM service: {llm_service}")
 
-    llm_service = llm_service_cls()
-    llm_clinet = llm_service.get_client(model_name=model_name)
+    service = llm_service_cls()
+    llm_clinet = service.get_client(model_name=model_name)
 
     engine = LLMEngine()
 
@@ -71,8 +72,13 @@ def _build_engine(llm_service: str):
     return engine
 
 
-def pipeline(num_threads: int, pipeline_batch_size: int, model_max_batch_size: int, repeat_count: int,
-             llm_service: str) -> float:
+def pipeline(num_threads: int,
+             pipeline_batch_size: int,
+             model_max_batch_size: int,
+             repeat_count: int,
+             llm_service: str,
+             input_file: str = None,
+             shuffle: bool = False) -> float:
 
     config = Config()
 
@@ -83,8 +89,10 @@ def pipeline(num_threads: int, pipeline_batch_size: int, model_max_batch_size: i
     config.mode = PipelineModes.NLP
     config.edge_buffer_size = 128
 
-    source_dfs = [
-        cudf.DataFrame({
+    if input_file is not None:
+        source_df = read_file_to_df(input_file, df_type='cudf')
+    else:
+        source_df = cudf.DataFrame({
             "country": [
                 "France",
                 "Spain",
@@ -98,13 +106,15 @@ def pipeline(num_threads: int, pipeline_batch_size: int, model_max_batch_size: i
                 "United States",
             ]
         })
-    ]
+
+    if shuffle:
+        source_df = source_df.sample(frac=1, ignore_index=True)
 
     completion_task = {"task_type": "completion", "task_dict": {"input_keys": ["country"], }}
 
     pipe = LinearPipeline(config)
 
-    pipe.set_source(InMemorySourceStage(config, dataframes=source_dfs, repeat=repeat_count))
+    pipe.set_source(InMemorySourceStage(config, dataframes=[source_df], repeat=repeat_count))
 
     pipe.add_stage(
         DeserializeStage(config, message_type=ControlMessage, task_type="llm_engine", task_payload=completion_task))
@@ -113,10 +123,10 @@ def pipeline(num_threads: int, pipeline_batch_size: int, model_max_batch_size: i
 
     pipe.add_stage(LLMEngineStage(config, engine=_build_engine(llm_service=llm_service)))
 
-    sink = pipe.add_stage(InMemorySinkStage(config))
-
     pipe.add_stage(MonitorStage(config, description="Inference rate", unit="req", delayed_start=True))
 
+    sink = pipe.add_stage(InMemorySinkStage(config))
+
     start_time = time.time()
 
     pipe.run()
diff --git a/examples/llm/completion/requirements.yaml b/examples/llm/completion/requirements.yaml
deleted file mode 100644
index 797989feda..0000000000
--- a/examples/llm/completion/requirements.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-channels:
-  - conda-forge
-  - defaults
-dependencies:
-  - arxiv=1.4
-  - langchain=0.0.190
-  - pip
-  - pypdf=3.16
-  - newspaper3k=0.2
-  - requests-cache=1.1
-
-  ####### Pip Transitive Dependencies (keep sorted!) #######
-  # These are dependencies that are available on conda, but are required by the pip packages listed below. Its much
-  # better to install them with conda than pip to allow for better dependency resolution.
-  - environs=9.5
-  - minio=7.1
-  - python-dotenv=1.0
-  - ujson=5.8
-
-  ####### Pip Dependencies (keep sorted!) #######
-  - pip:
-    - grpcio-status==1.58 # To keep in sync with 1.58 grpcio which is installed for Morpheus
-    - pymilvus # The conda package is woefully out of date and incorrect
diff --git a/examples/llm/completion/run.py b/examples/llm/completion/run.py
index a04744382a..851fe8dbfb 100644
--- a/examples/llm/completion/run.py
+++ b/examples/llm/completion/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -55,6 +55,18 @@ def run():
               default="NemoLLM",
               type=click.Choice(['NemoLLM', 'OpenAI'], case_sensitive=False),
               help="LLM service to issue requests to.")
+@click.option(
+    "--input_file",
+    type=click.Path(exists=True, readable=True),
+    default=None,
+    required=False,
+    help="Input to read country names from, if undefined an in-memory DataFrame of ten countris will be used.")
+@click.option(
+    "--shuffle",
+    is_flag=True,
+    default=False,
+    help=("Random shuffle order of country names."),
+)
 def pipeline(**kwargs):
     from .pipeline import pipeline as _pipeline
 
diff --git a/examples/llm/main.py b/examples/llm/main.py
index 0a3e4320ee..6304407d12 100644
--- a/examples/llm/main.py
+++ b/examples/llm/main.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/rag/README.md b/examples/llm/rag/README.md
index 3af143c02e..3868fab377 100644
--- a/examples/llm/rag/README.md
+++ b/examples/llm/rag/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/llm/rag/__init__.py b/examples/llm/rag/__init__.py
index fed725db1e..6c98418921 100644
--- a/examples/llm/rag/__init__.py
+++ b/examples/llm/rag/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/rag/persistant_pipeline.py b/examples/llm/rag/persistant_pipeline.py
index c6bb8f2b78..7f5cc4f756 100644
--- a/examples/llm/rag/persistant_pipeline.py
+++ b/examples/llm/rag/persistant_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -38,8 +38,8 @@
 from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
 from morpheus.stages.preprocess.preprocess_nlp_stage import PreprocessNLPStage
 
+from ..common.utils import build_default_milvus_config
 from ..common.utils import build_llm_service
-from ..common.utils import build_milvus_config
 from ..common.utils import build_milvus_service
 
 
@@ -58,12 +58,10 @@ def supports_cpp_node(self):
         return False
 
     def compute_schema(self, schema: StageSchema):
-
         schema.output_schemas[0].set_type(schema.input_type)
         schema.output_schemas[1].set_type(schema.input_type)
 
     def _build(self, builder: mrc.Builder, input_nodes: list[mrc.SegmentObject]) -> list[mrc.SegmentObject]:
-
         assert len(input_nodes) == 1, "Only 1 input supported"
 
         # Create a broadcast node
@@ -88,7 +86,6 @@ def filter_lower_fn(data: MessageMeta):
 
 
 def _build_engine(model_name: str, vdb_service: VectorDBResourceService, llm_service: str):
-
     engine = LLMEngine()
 
     engine.add_node("extracter", node=ExtracterNode())
@@ -114,7 +111,6 @@ def _build_engine(model_name: str, vdb_service: VectorDBResourceService, llm_ser
 
 
 def pipeline(num_threads, pipeline_batch_size, model_max_batch_size, embedding_size, model_name, llm_service: str):
-
     config = Config()
     config.mode = PipelineModes.OTHER
 
@@ -184,11 +180,11 @@ def pipeline(num_threads, pipeline_batch_size, model_max_batch_size, embedding_s
         WriteToKafkaStage(config, bootstrap_servers="auto", output_topic="retrieve_output"))
     pipe.add_edge(retrieve_llm_engine, retrieve_results)
 
-    # If its an upload task, then send it to the database
+    # If it's an upload task, then send it to the database
     upload_vdb = pipe.add_stage(
         WriteToVectorDBStage(config,
                              resource_name="RSS",
-                             resource_kwargs=build_milvus_config(embedding_size=embedding_size),
+                             resource_kwargs=build_default_milvus_config(embedding_size=embedding_size),
                              recreate=True,
                              service=vdb_service))
     pipe.add_edge(split.output_ports[1], upload_vdb)
diff --git a/examples/llm/rag/requirements.yaml b/examples/llm/rag/requirements.yaml
deleted file mode 100644
index c43b5ebd84..0000000000
--- a/examples/llm/rag/requirements.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-channels:
-  - huggingface
-  - conda-forge
-  - defaults
-dependencies:
-  - pip
-  - openai=0.28
-
-  ####### Pip Transitive Dependencies (keep sorted!) #######
-  # These are dependencies that are available on conda, but are required by the pip packages listed below. Its much
-  # better to install them with conda than pip to allow for better dependency resolution.
-
-  # Required for langchain==0.0.310
-  - anyio=3.7
-  - jsonpatch=1.33
-
-  ####### Pip Dependencies (keep sorted!) #######
-  - pip:
-    - google-search-results==2.4
-    - grpcio-status==1.58 # To keep in sync with 1.58 grpcio which is installed for Morpheus
-    - langchain==0.0.310
diff --git a/examples/llm/rag/run.py b/examples/llm/rag/run.py
index b764c2b97b..ff39a07f51 100644
--- a/examples/llm/rag/run.py
+++ b/examples/llm/rag/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/rag/standalone_pipeline.py b/examples/llm/rag/standalone_pipeline.py
index 7d6f840917..5d3cd01c58 100644
--- a/examples/llm/rag/standalone_pipeline.py
+++ b/examples/llm/rag/standalone_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/vdb_upload/README.md b/examples/llm/vdb_upload/README.md
index 02e9ab89b3..dc312b33b8 100644
--- a/examples/llm/vdb_upload/README.md
+++ b/examples/llm/vdb_upload/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -116,6 +116,7 @@ Before running the pipeline, we need to ensure that the following services are r
 #### Ensure LFS files are downloaded
 
 To retrieve models from LFS run the following:
+
 ```bash
 ./scripts/fetch_data.py fetch models
 ```
@@ -149,38 +150,226 @@ To retrieve models from LFS run the following:
 
 ### Running the Morpheus Pipeline
 
-The top level entrypoint to each of the LLM example pipelines is `examples/llm/main.py`. This script accepts a set
-of Options and a Pipeline to run. Baseline options are below, and for the purposes of this document we'll assume a
-pipeline option of `vdb_upload`:
+The top-level entry point for each of the LLM example pipelines is examples/llm/main.py. This script accepts a set of
+options and a pipeline to run. For the purposes of this document, we'll focus on the vdb_upload pipeline option, which
+incorporates various functionalities like handling RSS and filesystem sources, embedding configurations, and vector
+database (VDB) settings.
+
+#### Configuration Balance Considerations
+
+When configuring the Morpheus Pipeline, especially for stages like the RSS source and the Vector Database Upload, it's
+important to balance responsiveness and performance.
+
+- **RSS Source Stage**: The RSS source stage is responsible for yielding webpage links for processing. A larger batch size
+  at this stage can lead to decreased responsiveness, as the subsequent web scraper stage may take a considerable amount of
+  time to retrieve and process all the items in each batch. To ensure a responsive experience for users, it's recommended
+  to configure the RSS source stage with a relatively smaller batch size. This adjustment tends to have minimal impact on
+  overall performance while significantly improving the time to process each batch of links.
+
+- **Vector Database Upload Stage**: At the other end of the pipeline, the Vector Database Upload stage has its own
+  considerations. This stage experiences a significant transaction overhead. To mitigate this, it is advisable to configure
+  this stage with the largest batch size possible. This approach helps in efficiently managing transaction overheads and
+  improves the throughput of the pipeline, especially when dealing with large volumes of data.
+
+Balancing these configurations ensures that the pipeline runs efficiently, with optimized responsiveness at the RSS
+source stage and improved throughput at the Vector Database Upload stage.
 
 ### Run example:
 
+Default example usage, with pre-defined RSS source
+
 ```bash
-python examples/llm/main.py [OPTIONS...] vdb_upload [ACTION] --model_name all-MiniLM-L6-v2
+python examples/llm/main.py vdb_upload pipeline \
+  --enable_cache \
+  --enable_monitors \
+  --embedding_model_name all-MiniLM-L6-v2
 ```
 
-### Options:
+Usage with CLI-Defined Sources:
 
-- `--log_level [CRITICAL|FATAL|ERROR|WARN|WARNING|INFO|DEBUG]`
-    - **Description**: Specifies the logging level.
-    - **Default**: `INFO`
+*Example: Defining an RSS Source via CLI*
 
-- `--use_cpp BOOLEAN`
-    - **Description**: Opt to use C++ node and message types over python. Recommended only in case of bugs.
-    - **Default**: `False`
+```bash
+python examples/llm/main.py vdb_upload pipeline \
+  --source_type rss \
+  --interval_secs 300 \
+  --rss_request_timeout_sec 5.0 \
+  --enable_cache \
+  --enable_monitors \
+  --embedding_model_name all-MiniLM-L6-v2
+```
 
-- `--version`
-    - **Description**: Display the script's current version.
+*Example: Defining a Filesystem Source via CLI*
 
-- `--help`
-    - **Description**: Show the help message with options and commands details.
+```bash
+python examples/llm/main.py vdb_upload pipeline \
+  --source_type filesystem \
+  --file_source "./morpheus/data/*" \
+  --enable_monitors \
+  --embedding_model_name all-MiniLM-L6-v2
+```
 
-### Commands:
+*Example: Combining RSS and Filesystem Sources via CLI*
+
+```bash
+python examples/llm/main.py vdb_upload pipeline \
+  --source_type rss --source_type filesystem \
+  --file_source "./morpheus/data/*" \
+  --interval_secs 600 \
+  --enable_cache \
+  --enable_monitors \
+  --embedding_model_name all-MiniLM-L6-v2
+```
+
+*Example: Defining sources via a config file*
+Note: see `vdb_config.yaml` for a full configuration example.
+
+`vdb_config.yaml`
+
+```yaml
+vdb_pipeline:
+  sources:
+    - type: filesystem
+      name: "demo_filesystem_source"
+      config:
+        batch_size: 1024
+        enable_monitor: False
+        extractor_config:
+          chunk_size: 512
+          chunk_overlap: 50
+          num_threads: 10 # Number of threads to use for file reads
+        filenames:
+          - "/path/to/data/*"
+        watch: false
+```
+
+*Example: Defining a custom source via a config file*
+Note: See `vdb_config.yaml` for a full configuration example.
+Note: This example uses the same module and config as the filesystem source example above, but explicitly specifies the
+module to load
+
+`vdb_config.yaml`
+
+```yaml
+vdb_pipeline:
+  sources:
+    - type: custom
+      name: "demo_custom_filesystem_source"
+      module_id: "file_source_pipe"  # Required for custom source, defines the source module to load
+      module_output_id: "output"  # Required for custom source, defines the output of the module to use
+      namespace: "morpheus_examples_llm"  # Required for custom source, defines the namespace of the module to load
+      config:
+        batch_size: 1024
+        extractor_config:
+          chunk_size: 512
+          num_threads: 10  # Number of threads to use for file reads
+        config_name_mapping: "file_source_config"
+        filenames:
+          - "/path/to/data/*"
+        watch: false
+```
 
-- ... other pipelines ...
-- `vdb_upload`
+```bash
+python examples/llm/main.py vdb_upload pipeline \
+  --vdb_config_path "./vdb_config.yaml"
+```
 
----
+## Morpheus Pipeline Configuration Schema
+
+The Morpheus Pipeline configuration allows for detailed specification of various pipeline stages, including source
+definitions (like RSS feeds and filesystem paths), embedding configurations, and vector database settings.
+
+### Sources Configuration
+
+The `sources` section allows you to define multiple data sources of different types: RSS, filesystem, and custom.
+
+### Embeddings Configuration
+
+- **isolate_embeddings**: Boolean to isolate embeddings.
+- **model_kwargs**:
+    - **force_convert_inputs**: Boolean to force the conversion of inputs.
+    - **model_name**: Name of the model, e.g., `"all-MiniLM-L6-v2"`.
+    - **server_url**: URL of the server, e.g., `"http://localhost:8001"`.
+    - **use_shared_memory**: Boolean to use shared memory.
+
+### Pipeline Configuration
+
+- **edge_buffer_size**: Size of the edge buffer, e.g., `128`.
+- **feature_length**: Length of the features, e.g., `512`.
+- **max_batch_size**: Maximum size of the batch, e.g., `256`.
+- **num_threads**: Number of threads, e.g., `10`.
+- **pipeline_batch_size**: Size of the batch for the pipeline, e.g., `1024`.
+
+#### RSS Source Configuration
+
+- **type**: `'rss'`
+- **name**: Name of the RSS source.
+- **config**:
+    - **batch_size**: Number of RSS feeds to process at a time.
+    - **cache_dir**: Directory for caching.
+    - **cooldown_interval_sec**: Cooldown interval in seconds.
+    - **enable_cache**: Boolean to enable caching.
+    - **enable_monitor**: Boolean to enable monitoring.
+    - **feed_input**: List of RSS feed URLs.
+    - **interval_sec**: Interval in seconds for fetching new feed items.
+    - **request_timeout_sec**: Timeout in seconds for RSS feed requests.
+    - **run_indefinitely**: Boolean to indicate continuous running.
+    - **stop_after**: Stop after emitting a specific number of records.
+    - **web_scraper_config**:
+        - **chunk_overlap**: Overlap size for chunks.
+        - **chunk_size**: Size of content chunks for processing.
+        - **enable_cache**: Boolean to enable caching.
+
+#### Filesystem Source Configuration
+
+- **type**: `'filesystem'`
+- **name**: Name of the filesystem source.
+- **config**:
+    - **batch_size**: Number of files to process at a time.
+    - **chunk_overlap**: Overlap size for chunks.
+    - **chunk_size**: Size of chunks for processing.
+    - **converters_meta**: Metadata for converters.
+        - **csv**:
+            - **chunk_size**: Chunk size for CSV processing.
+            - **text_column_names**: Column names to be used as text.
+              - **column_name_0** Column name 0.
+              - **column_name_1** Column name 1.
+    - **enable_monitor**: Boolean to enable monitoring.
+    - **extractor_config**:
+        - **chunk_size**: Size of chunks for the extractor.
+        - **num_threads**: Number of threads for file reads.
+    - **filenames**: List of file paths to be processed.
+    - **watch**: Boolean to watch for file changes.
+
+#### Custom Source Configuration
+
+- **type**: `'custom'`
+- **name**: Name of the custom source.
+- **config**:
+    - **config_name_mapping**: Mapping name for file source config.
+    - **module_id**: Identifier of the module to use.
+    - **module_output_id**: Output identifier of the module.
+    - **namespace**: Namespace of the module.
+    - **other_config_parameter_1**: Other config parameter 1.
+    - **other_config_parameter_2**: Other config parameter 2.
+
+### Tokenizer Configuration
+
+- **model_kwargs**:
+    - **add_special_tokens**: Boolean to add special tokens.
+    - **column**: Column name, e.g., `"content"`.
+    - **do_lower_case**: Boolean to convert to lowercase.
+    - **truncation**: Boolean to truncate.
+    - **vocab_hash_file**: Path to the vocabulary hash file.
+- **model_name**: Name of the tokenizer model.
+
+### Vector Database (VDB) Configuration
+
+- **embedding_size**: Size of the embeddings to store in the vector database.
+- **recreate**: Boolean to recreate the resource if it exists.
+- **resource_name**: Identifier for the resource in the vector database.
+- **service**: Type of vector database service (e.g., `"milvus"`).
+- **uri**: URI for connecting to the Vector Database server.
 
 ## Options for `vdb_upload` Command
 
@@ -235,7 +424,7 @@ using `sentence-transformers/paraphrase-multilingual-mpnet-base-v2` as an exampl
      all-MiniLM-L6-v2 --load-model sentence-transformers/paraphrase-multilingual-mpnet-base-v2
     ```
 
-    - You should see seomthing similar to the following, indicating Triton has succesfully loaded the model:
+    - You should see something similar to the following, indicating Triton has successfully loaded the model:
     ```shell
     +----------------------------------+------------------------------------------------------------------------------------------+
     | Option                           | Value                                                                                    |
diff --git a/examples/llm/vdb_upload/__init__.py b/examples/llm/vdb_upload/__init__.py
index fed725db1e..6c98418921 100644
--- a/examples/llm/vdb_upload/__init__.py
+++ b/examples/llm/vdb_upload/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/vdb_upload/common.py b/examples/llm/vdb_upload/common.py
deleted file mode 100644
index 58b3527a43..0000000000
--- a/examples/llm/vdb_upload/common.py
+++ /dev/null
@@ -1,103 +0,0 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-import logging
-
-import pymilvus
-
-logger = logging.getLogger(__name__)
-
-
-def build_milvus_config(embedding_size: int):
-
-    milvus_resource_kwargs = {
-        "index_conf": {
-            "field_name": "embedding",
-            "metric_type": "L2",
-            "index_type": "HNSW",
-            "params": {
-                "M": 8,
-                "efConstruction": 64,
-            },
-        },
-        "schema_conf": {
-            "enable_dynamic_field": True,
-            "schema_fields": [
-                pymilvus.FieldSchema(name="id",
-                                     dtype=pymilvus.DataType.INT64,
-                                     description="Primary key for the collection",
-                                     is_primary=True,
-                                     auto_id=True).to_dict(),
-                pymilvus.FieldSchema(name="title",
-                                     dtype=pymilvus.DataType.VARCHAR,
-                                     description="The title of the RSS Page",
-                                     max_length=65_535).to_dict(),
-                pymilvus.FieldSchema(name="link",
-                                     dtype=pymilvus.DataType.VARCHAR,
-                                     description="The URL of the RSS Page",
-                                     max_length=65_535).to_dict(),
-                pymilvus.FieldSchema(name="summary",
-                                     dtype=pymilvus.DataType.VARCHAR,
-                                     description="The summary of the RSS Page",
-                                     max_length=65_535).to_dict(),
-                pymilvus.FieldSchema(name="page_content",
-                                     dtype=pymilvus.DataType.VARCHAR,
-                                     description="A chunk of text from the RSS Page",
-                                     max_length=65_535).to_dict(),
-                pymilvus.FieldSchema(name="embedding",
-                                     dtype=pymilvus.DataType.FLOAT_VECTOR,
-                                     description="Embedding vectors",
-                                     dim=embedding_size).to_dict(),
-            ],
-            "description": "Test collection schema"
-        }
-    }
-
-    return milvus_resource_kwargs
-
-
-def build_rss_urls():
-    return [
-        "https://www.theregister.com/security/headlines.atom",
-        "https://isc.sans.edu/dailypodcast.xml",
-        "https://threatpost.com/feed/",
-        "http://feeds.feedburner.com/TheHackersNews?format=xml",
-        "https://www.bleepingcomputer.com/feed/",
-        "https://therecord.media/feed/",
-        "https://blog.badsectorlabs.com/feeds/all.atom.xml",
-        "https://krebsonsecurity.com/feed/",
-        "https://www.darkreading.com/rss_simple.asp",
-        "https://blog.malwarebytes.com/feed/",
-        "https://msrc.microsoft.com/blog/feed",
-        "https://securelist.com/feed",
-        "https://www.crowdstrike.com/blog/feed/",
-        "https://threatconnect.com/blog/rss/",
-        "https://news.sophos.com/en-us/feed/",
-        "https://www.us-cert.gov/ncas/current-activity.xml",
-        "https://www.csoonline.com/feed",
-        "https://www.cyberscoop.com/feed",
-        "https://research.checkpoint.com/feed",
-        "https://feeds.fortinet.com/fortinet/blog/threat-research",
-        "https://www.mcafee.com/blogs/rss",
-        "https://www.digitalshadows.com/blog-and-research/rss.xml",
-        "https://www.nist.gov/news-events/cybersecurity/rss.xml",
-        "https://www.sentinelone.com/blog/rss/",
-        "https://www.bitdefender.com/blog/api/rss/labs/",
-        "https://www.welivesecurity.com/feed/",
-        "https://unit42.paloaltonetworks.com/feed/",
-        "https://mandiant.com/resources/blog/rss.xml",
-        "https://www.wired.com/feed/category/security/latest/rss",
-        "https://www.wired.com/feed/tag/ai/latest/rss",
-        "https://blog.google/threat-analysis-group/rss/",
-        "https://intezer.com/feed/",
-    ]
diff --git a/examples/llm/vdb_upload/export_model.py b/examples/llm/vdb_upload/export_model.py
index 87da3d6a01..a53206bd14 100644
--- a/examples/llm/vdb_upload/export_model.py
+++ b/examples/llm/vdb_upload/export_model.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/llm/vdb_upload/helper.py b/examples/llm/vdb_upload/helper.py
new file mode 100644
index 0000000000..20f0484a97
--- /dev/null
+++ b/examples/llm/vdb_upload/helper.py
@@ -0,0 +1,197 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import typing
+
+from morpheus.config import Config
+from morpheus.messages import ControlMessage
+from morpheus.pipeline.pipeline import Pipeline
+from morpheus.stages.general.linear_modules_source import LinearModuleSourceStage
+
+from .module.file_source_pipe import FileSourcePipeLoaderFactory
+from .module.rss_source_pipe import RSSSourcePipeLoaderFactory
+
+logger = logging.getLogger(__name__)
+
+
+def validate_source_config(source_info: typing.Dict[str, any]) -> None:
+    """
+    Validates the configuration of a source.
+
+    This function checks whether the given source configuration dictionary
+    contains all required keys: 'type', 'name', and 'config'.
+
+    Parameters
+    ----------
+    source_info : typing.Dict[str, any]
+        The source configuration dictionary to validate.
+
+    Raises
+    ------
+    ValueError
+        If any of the required keys ('type', 'name', 'config') are missing
+        in the source configuration.
+    """
+    if ('type' not in source_info or 'name' not in source_info or 'config' not in source_info):
+        raise ValueError(f"Each source must have 'type', 'name', and 'config':\n {source_info}")
+
+
+def setup_rss_source(pipe: Pipeline, config: Config, source_name: str, rss_config: typing.Dict[str, typing.Any]):
+    """
+    Set up the RSS source stage in the pipeline.
+
+    Parameters
+    ----------
+    pipe : Pipeline
+        The pipeline to which the RSS source stage will be added.
+    config : Config
+        Configuration object for the pipeline.
+    source_name : str
+        The name of the RSS source stage.
+    rss_config : typing.Dict[str, Any]
+        Configuration parameters for the RSS source stage.
+
+    Returns
+    -------
+    SubPipeline
+        The sub-pipeline stage created for the RSS source.
+    """
+    module_definition = RSSSourcePipeLoaderFactory.get_instance(
+        module_name=f"rss_source_pipe__{source_name}",
+        module_config={"rss_config": rss_config},
+    )
+    rss_pipe = pipe.add_stage(
+        LinearModuleSourceStage(config, module_definition, output_type=ControlMessage, output_port_name="output"))
+
+    return rss_pipe
+
+
+def setup_filesystem_source(pipe: Pipeline, config: Config, source_name: str, fs_config: typing.Dict[str, typing.Any]):
+    """
+    Set up the filesystem source stage in the pipeline.
+
+    Parameters
+    ----------
+    pipe : Pipeline
+        The pipeline to which the filesystem source stage will be added.
+    config : Config
+        Configuration object for the pipeline.
+    source_name : str
+        The name of the filesystem source stage.
+    fs_config : typing.Dict[str, Any]
+        Configuration parameters for the filesystem source stage.
+
+    Returns
+    -------
+    SubPipeline
+        The sub-pipeline stage created for the filesystem source.
+    """
+
+    module_loader = FileSourcePipeLoaderFactory.get_instance(module_name=f"file_source_pipe__{source_name}",
+                                                             module_config={"file_source_config": fs_config})
+    file_pipe = pipe.add_stage(
+        LinearModuleSourceStage(config, module_loader, output_type=ControlMessage, output_port_name="output"))
+
+    return file_pipe
+
+
+def setup_custom_source(pipe: Pipeline, config: Config, source_name: str, custom_config: typing.Dict[str, typing.Any]):
+    """
+    Setup a custom source stage in the pipeline.
+
+    Parameters
+    ----------
+    pipe : Pipeline
+        The pipeline to which the custom source stage will be added.
+    config : Config
+        Configuration object for the pipeline.
+    source_name : str
+        The name of the custom source stage.
+    custom_config : typing.Dict[str, Any]
+        Configuration parameters for the custom source stage, including
+        the module_id, module_name, namespace, and any additional parameters.
+
+    Returns
+    -------
+    SubPipeline
+        The sub-pipeline stage created for the custom source.
+    """
+
+    module_id = custom_config.pop('module_id')
+    module_name = f"{module_id}__{source_name}"
+    module_namespace = custom_config.pop('namespace')
+    module_output_id = custom_config.pop('module_output_id', 'output')
+
+    module_config = {
+        "module_id": module_id,
+        "module_name": module_name,
+        "namespace": module_namespace,
+    }
+
+    config_name_mapping = custom_config.pop('config_name_mapping', 'config')
+    module_config[config_name_mapping] = custom_config
+
+    # Adding the custom module stage to the pipeline
+    custom_pipe = pipe.add_stage(
+        LinearModuleSourceStage(config, module_config, output_type=ControlMessage, output_port_name=module_output_id))
+
+    return custom_pipe
+
+
+def process_vdb_sources(pipe: Pipeline, config: Config, vdb_source_config: typing.List[typing.Dict]) -> typing.List:
+    """
+    Processes and sets up sources defined in a vdb_source_config.
+
+    This function reads the source configurations provided in vdb_source_config and
+    sets up each source based on its type ('rss', 'filesystem', or 'custom').
+    It validates each source configuration and then calls the appropriate setup
+    function to add the source to the pipeline.
+
+    Parameters
+    ----------
+    pipe : Pipeline
+        The pipeline to which the sources will be added.
+    config : Config
+        Configuration object for the pipeline.
+    vdb_source_config : List[Dict]
+        A list of dictionaries, each containing the configuration for a source.
+
+    Returns
+    -------
+    list
+        A list of the sub-pipeline stages created for each defined source.
+
+    Raises
+    ------
+    ValueError
+        If an unsupported source type is encountered in the configuration.
+    """
+    vdb_sources = []
+    for source_info in vdb_source_config:
+        validate_source_config(source_info)
+        source_type = source_info['type']
+        source_name = source_info['name']
+        source_config = source_info['config']
+
+        if (source_type == 'rss'):
+            vdb_sources.append(setup_rss_source(pipe, config, source_name, source_config))
+        elif (source_type == 'filesystem'):
+            vdb_sources.append(setup_filesystem_source(pipe, config, source_name, source_config))
+        elif (source_type == 'custom'):
+            vdb_sources.append(setup_custom_source(pipe, config, source_name, source_config))
+        else:
+            raise ValueError(f"Unsupported source type: {source_type}")
+
+    return vdb_sources
diff --git a/examples/llm/vdb_upload/langchain.py b/examples/llm/vdb_upload/langchain.py
index f66d75d9d3..f296e077d3 100644
--- a/examples/llm/vdb_upload/langchain.py
+++ b/examples/llm/vdb_upload/langchain.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -14,21 +14,20 @@
 import logging
 import pickle
 
+# pylint: disable=no-name-in-module
 from langchain.document_loaders.rss import RSSFeedLoader
 from langchain.embeddings.huggingface import HuggingFaceEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores.milvus import Milvus
 
-from llm.vdb_upload.common import build_rss_urls
+from examples.llm.vdb_upload.vdb_utils import build_rss_urls
 from morpheus.utils.logging_timer import log_time
 
 logger = logging.getLogger(__name__)
 
 
 def chain(model_name, save_cache):
-
     with log_time(msg="Seeding with chain took {duration} ms. {rate_per_sec} docs/sec", log_fn=logger.debug) as log:
-
         loader = RSSFeedLoader(urls=build_rss_urls())
 
         documents = loader.load()
@@ -56,5 +55,4 @@ def chain(model_name, save_cache):
         with log_time(msg="Adding to Milvus took {duration} ms. Doc count: {count}. {rate_per_sec} docs/sec",
                       count=log.count,
                       log_fn=logger.debug):
-
             Milvus.from_documents(documents, embeddings, collection_name="LangChain", drop_old=True)
diff --git a/examples/developer_guide/4_rabbitmq_cpp_stage/_lib/__init__.py b/examples/llm/vdb_upload/module/__init__.py
similarity index 100%
rename from examples/developer_guide/4_rabbitmq_cpp_stage/_lib/__init__.py
rename to examples/llm/vdb_upload/module/__init__.py
diff --git a/examples/llm/vdb_upload/module/content_extractor_module.py b/examples/llm/vdb_upload/module/content_extractor_module.py
new file mode 100755
index 0000000000..ac5ae771e6
--- /dev/null
+++ b/examples/llm/vdb_upload/module/content_extractor_module.py
@@ -0,0 +1,382 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import io
+import logging
+import os
+import typing
+from concurrent.futures import ThreadPoolExecutor
+from dataclasses import dataclass
+from functools import wraps
+from typing import Dict
+from typing import List
+
+import fitz
+import fsspec
+import mrc
+import mrc.core.operators as ops
+import pandas as pd
+from docx import Document
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from pydantic import BaseModel  # pylint: disable=no-name-in-module
+from pydantic import Field
+from pydantic import ValidationError
+from pydantic import field_validator
+
+from morpheus.messages import MessageMeta
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+
+class CSVConverterSchema(BaseModel):
+    chunk_overlap: int = 102  # Example default value
+    chunk_size: int = 1024
+    text_column_names: List[str]
+
+    class Config:
+        extra = "forbid"
+
+
+class ContentExtractorSchema(BaseModel):
+    batch_size: int = 32
+    chunk_overlap: int = 51
+    chunk_size: int = 512
+    converters_meta: Dict[str, Dict] = Field(default_factory=dict)
+    num_threads: int = 10
+
+    @field_validator('converters_meta', mode="before")
+    @classmethod
+    def val_converters_meta(cls, to_validate: Dict[str, Dict]) -> Dict[str, Dict]:
+        validated_meta = {}
+        for key, value in to_validate.items():
+            if key.lower() == 'csv':
+                validated_meta[key] = CSVConverterSchema(**value).model_dump()
+            else:
+                validated_meta[key] = value
+        return validated_meta
+
+    class Config:
+        extra = "forbid"
+
+
+logger = logging.getLogger(__name__)
+
+ContentExtractorLoaderFactory = ModuleLoaderFactory("file_content_extractor",
+                                                    "morpheus_examples_llm",
+                                                    ContentExtractorSchema)
+
+
+@dataclass
+class FileMeta:
+    file_path: str
+    file_name: str
+    file_type: str
+
+
+@dataclass
+class ConverterInputInfo:
+    io_bytes: io.BytesIO
+    meta: dict
+
+
+def get_file_meta(open_file: fsspec.core.OpenFile) -> FileMeta:
+    """
+    Extract file metadata from the given open file.
+
+    Parameters
+    ----------
+    open_file: fsspec.core.OpenFile
+        OpenFile object
+
+    Returns
+    -------
+    FileMeta
+        Returns FileMeta instance.
+    """
+    try:
+        file_path = open_file.path
+        file_name = os.path.basename(file_path)
+        _, file_type = os.path.splitext(file_name)
+
+        if len(file_type) > 0:
+            file_type = file_type.lstrip('.')
+        else:
+            file_type = 'none'
+
+        return FileMeta(file_path=file_path, file_name=file_name, file_type=file_type)
+
+    except Exception as e:
+        logger.error("Error retrieving file metadata for %s: %s", open_file.path, e)
+        raise
+
+
+def read_file_to_bytesio(file_path: str) -> io.BytesIO:
+    """
+    Read the content of the file and return it as an io.BytesIO object.
+
+    Parameters
+    ----------
+    file_path: str
+        Path to the file.
+
+    Returns
+    -------
+    io.BytesIO or None
+        Returns io.BytesIO object if the file is successfully read. Returns
+        None if there is an error reading the file.
+    """
+
+    io_bytes = None
+
+    try:
+        with open(file_path, 'rb') as file:
+            io_bytes = io.BytesIO(file.read())
+    except FileNotFoundError:
+        logger.error("Error: File not found - %s", file_path)
+    except PermissionError:
+        logger.error("Error: Permission denied - %s", file_path)
+    except Exception as e:
+        logger.error("Error reading file %s: %s", file_path, e)
+
+    return io_bytes
+
+
+def _converter_error_handler(func: typing.Callable) -> typing.Callable:
+
+    @wraps(func)
+    def wrapper(input_info: ConverterInputInfo, *args, **kwargs):
+        try:
+            # Common logic for instance check
+            if not isinstance(input_info.io_bytes, io.BytesIO):
+                raise ValueError("Invalid input type. Supported type: io.BytesIO.")
+
+            return func(input_info, *args, **kwargs)
+        except Exception as exec_info:
+            logger.error("Error in %s: %s", func.__name__, exec_info)
+            return func.__annotations__.get("return_type", None)()
+
+    return wrapper
+
+
+@_converter_error_handler
+def _pdf_to_text_converter(input_info: ConverterInputInfo) -> str:
+    text = ""
+    pdf_document = fitz.open(stream=input_info.io_bytes, filetype="pdf")
+    for page_num in range(pdf_document.page_count):
+        page = pdf_document[page_num]
+        text += page.get_text()
+    return text
+
+
+@_converter_error_handler
+def _docx_to_text_converter(input_info: ConverterInputInfo) -> str:
+    text = ""
+    doc = Document(io.BytesIO(input_info.io_bytes.read()))
+    text = '\n'.join([paragraph.text for paragraph in doc.paragraphs])
+    return text
+
+
+@_converter_error_handler
+def _csv_to_text_converter(input_info: ConverterInputInfo) -> list[str]:
+    text_arr = []
+    text_column_names = set("content")
+    if input_info.meta is not None:
+        text_column_names = set(input_info.meta.get("csv", {}).get("text_column_names", text_column_names))
+    df = pd.read_csv(input_info.io_bytes)
+    if len(df.columns) == 0 or (not text_column_names.issubset(set(df.columns))):
+        raise ValueError("The CSV file must either include a 'content' column or have a "
+                         "columns specified in the meta configuration with key 'text_column_names'.")
+    df.fillna(value='', inplace=True)
+    text_arr = df[sorted(text_column_names)].apply(lambda x: ' '.join(map(str, x)), axis=1).tolist()
+    return text_arr
+
+
+@_converter_error_handler
+def _text_converter(input_info: ConverterInputInfo) -> str:
+    text = ""
+    convertor_conf = input_info.meta.get("txt", {})
+    encoding = convertor_conf.get("encoding", "utf-8")
+    input_info.io_bytes.seek(0)
+    text = input_info.io_bytes.read().decode(encoding)
+    return text
+
+
+def process_content(docs: str | list[str], file_meta: FileMeta, chunk_size: int, chunk_overlap: int) -> list[dict]:
+    """
+    Processes the content of a file and splits it into chunks.
+
+    Parameters
+    ----------
+    docs : str | list[str]
+        Documents content.
+    file_meta: FileMeta
+        FileMeta parsed information of a file path.
+    chunk_size : int
+        Size of each chunk.
+    chunk_overlap : int
+        Overlap between consecutive chunks.
+
+    Returns
+    -------
+    list of dicts
+        A list of dictionaries, each with a chunk of content and file metadata.
+    """
+
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size,
+                                                   chunk_overlap=chunk_overlap,
+                                                   length_function=len)
+
+    processed_data = []
+
+    if isinstance(docs, str):
+        docs = [docs]
+
+    for document in docs:
+        try:
+            split_text = text_splitter.split_text(document)
+
+            for chunk in split_text:
+                processed_data.append({
+                    'title': file_meta.file_name,
+                    'source': f"{file_meta.file_type}:{file_meta.file_path}",
+                    'summary': 'none',
+                    'content': chunk
+                })
+
+        except Exception as e:
+            logger.error("Error processing file %s content: %s", file_meta.file_path, e)
+            continue
+
+    return processed_data
+
+
+@register_module("file_content_extractor", "morpheus_examples_llm")
+def file_content_extractor(builder: mrc.Builder):
+    """
+    Extracts text from PDF and TXT files and constructs a DataFrame with the extracted content.
+
+    This module processes a batch of files, reading their contents and extracting text data to form a DataFrame.
+    It can handle both PDF and TXT files. The module uses a ThreadPoolExecutor for parallel file reading.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        The Morpheus builder instance to attach this module to.
+
+    Notes
+    -----
+    The `module_config` should contain:
+    - 'batch_size': int, the number of files to process in parallel.
+    - 'num_threads': int, the number of threads to use for parallel file reading.
+    - 'chunk_size' : int, size of each chunk of document.
+    - 'chunk_overlap' : int, overlap between consecutive chunks.
+    - 'converters_meta' : dict, converters configuration.
+
+    The function reads files in parallel but processes the content serially within each batch to prevent CPU contention.
+
+    Example `module_config`
+    -----------------------
+    {
+        "batch_size": 32,
+        "num_threads": 10
+    }
+    """
+    module_config = builder.get_current_module_config()
+
+    try:
+        extractor_config = ContentExtractorSchema(**module_config)
+    except ValidationError as e:
+        # Format the error message for better readability
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid configuration for file_content_extractor: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    # Use validated configurations
+    batch_size = extractor_config.batch_size
+    num_threads = extractor_config.num_threads
+    chunk_size = extractor_config.chunk_size
+    chunk_overlap = extractor_config.chunk_overlap
+    converters_meta = extractor_config.converters_meta
+
+    converters = {
+        "pdf": _pdf_to_text_converter,
+        "csv": _csv_to_text_converter,
+        "docx": _docx_to_text_converter,
+        "txt": _text_converter
+    }
+
+    chunk_params = {
+        file_type: {
+            # pylint: disable=no-member
+            "chunk_size": converters_meta.get(file_type, {}).get("chunk_size", chunk_size),
+            "chunk_overlap": converters_meta.get(file_type, {}).get("chunk_overlap", chunk_overlap)
+            # pylint: enable=no-member
+        }
+        for file_type in converters
+    }
+
+    def parse_files(open_files: typing.List[fsspec.core.OpenFile]) -> MessageMeta:
+        data = []
+        _fs = fsspec.filesystem(protocol='file')
+
+        with ThreadPoolExecutor(max_workers=num_threads) as executor:
+            for i in range(0, len(open_files), batch_size):
+                batch = open_files[i:i + batch_size]
+                futures = []
+                files_meta = []
+
+                for open_file in batch:
+                    # Check if file exists
+                    if (not _fs.exists(open_file.path)):
+                        logger.warning("File does not exist: %s. Skipping...", open_file.path)
+                        continue
+
+                    if (_fs.isdir(open_file.path)):
+                        logger.warning("File is a directory: %s. Skipping...", open_file.path)
+                        continue
+
+                    try:
+                        file_meta: FileMeta = get_file_meta(open_file=open_file)
+                        futures.append(executor.submit(read_file_to_bytesio, file_meta.file_path))
+                        files_meta.append(file_meta)
+
+                    except Exception as e:
+                        logger.error("Error processing file %s: %s", open_file.path, e)
+
+                for file_meta, future in zip(files_meta, futures):
+                    io_bytes = future.result()
+
+                    if io_bytes:
+                        converter = converters.get(file_meta.file_type, _text_converter)
+                        input_info = ConverterInputInfo(io_bytes=io_bytes, meta=converters_meta)
+                        result = converter(input_info)
+                        # Get chunk params for the file type, default to txt
+                        file_type_chunk_params = chunk_params[
+                            file_meta.file_type] if file_meta.file_type in chunk_params else chunk_params['txt']
+                        result = process_content(result,
+                                                 file_meta,
+                                                 file_type_chunk_params["chunk_size"],
+                                                 file_type_chunk_params["chunk_overlap"])
+                        if result:
+                            data.extend(result)
+
+        df_final = pd.DataFrame(data)
+
+        return MessageMeta(df=df_final)
+
+    node = builder.make_node("text_extractor", ops.map(parse_files), ops.filter(lambda x: x is not None))
+    builder.register_module_input("input", node)
+    builder.register_module_output("output", node)
diff --git a/examples/llm/vdb_upload/module/file_source_pipe.py b/examples/llm/vdb_upload/module/file_source_pipe.py
new file mode 100644
index 0000000000..b39ee23e4e
--- /dev/null
+++ b/examples/llm/vdb_upload/module/file_source_pipe.py
@@ -0,0 +1,187 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+from typing import Any
+from typing import Dict
+from typing import List
+from typing import Optional
+
+import mrc
+from pydantic import BaseModel
+from pydantic import Field
+from pydantic import ValidationError
+
+from morpheus.modules.general.monitor import MonitorLoaderFactory
+from morpheus.modules.input.multi_file_source import MultiFileSourceLoaderFactory
+from morpheus.modules.preprocess.deserialize import DeserializeLoaderFactory
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+from .content_extractor_module import ContentExtractorLoaderFactory
+from .schema_transform import SchemaTransformLoaderFactory
+from .vdb_resource_tagging_module import VDBResourceTaggingLoaderFactory
+
+logger = logging.getLogger(__name__)
+
+
+class FileSourcePipeSchema(BaseModel):
+    batch_size: int = 1024
+    chunk_overlap: int = 51
+    chunk_size: int = 512
+    converters_meta: Optional[Dict[Any, Any]] = {}  # Flexible dictionary for converters metadata
+    enable_monitor: bool = False
+    extractor_config: Optional[Dict[Any, Any]] = {}  # Flexible dictionary for extractor configuration
+    filenames: List[str] = Field(default_factory=list)  # List of file paths
+    num_threads: int = 1  # Number of threads for processing
+    vdb_resource_name: str
+    watch: bool = False  # Flag to watch file changes
+    watch_interval: float = -5.0  # Interval to watch file changes
+
+    class Config:
+        extra = "forbid"
+
+
+FileSourcePipeLoaderFactory = ModuleLoaderFactory("file_source_pipe", "morpheus_examples_llm", FileSourcePipeSchema)
+
+
+@register_module("file_source_pipe", "morpheus_examples_llm")
+def _file_source_pipe(builder: mrc.Builder):
+    """
+    Sets up a pipeline for processing file sources.
+
+    This function configures a pipeline that reads files, processes their content
+    based on specified configurations, and outputs the processed data. It integrates modules for
+    multi-file sourcing, file content extraction, and schema transformation, along with monitoring
+    at various stages.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        The Morpheus builder to which the pipeline modules will be added.
+
+    Notes
+    -----
+    The module configuration can include the following parameters:
+
+    - **file_source_config**: Configuration for the file source module.
+      - **batch_size**: Number of files to process in each batch.
+      - **chunk_overlap**: Overlap size for chunks in file processing.
+      - **chunk_size**: Size of chunks for file processing.
+      - **converters_meta**: Metadata for file format converters.
+        - **csv**: Configuration for CSV files.
+          - **chunk_size**: Chunk size for CSV processing.
+          - **text_column_name**: Name of the text column in CSV files.
+      - **enable_monitor**: Boolean to enable monitoring for this module.
+      - **extractor_config**: Configuration for the file content extractor module.
+        - **chunk_size**: Size of chunks for the extractor.
+        - **num_threads**: Number of threads for file content extraction.
+      - **filenames**: List of file paths to be processed.
+      - **watch**: Boolean to watch for file changes.
+
+    The pipeline connects these modules in the following order:
+    Multi-File Source -> File Content Extractor -> Schema Transform -> Deserialize,
+    with monitoring at each stage.
+    """
+
+    module_config = builder.get_current_module_config()
+    file_source_config = module_config.get("file_source_config", {})
+    try:
+        validated_config = FileSourcePipeSchema(**file_source_config)
+    except ValidationError as e:
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid file source configuration: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    # Use the validated configuration
+    enable_monitor = validated_config.enable_monitor
+
+    # Configure and load the multi-file source module
+    source_config = {
+        "batch_size": validated_config.batch_size,
+        "filenames": validated_config.filenames,
+        "watch_interval": validated_config.watch_interval,
+        "watch_dir": validated_config.watch,
+    }
+    multi_file_loader = MultiFileSourceLoaderFactory.get_instance("multi_file_source", {"source_config": source_config})
+
+    # Configure and load the file content extractor module
+    file_content_extractor_config = {
+        "batch_size": validated_config.batch_size,
+        "num_threads": validated_config.num_threads,
+        "chunk_size": validated_config.chunk_size,
+        "chunk_overlap": validated_config.chunk_overlap,
+        "converters_meta": validated_config.converters_meta
+    }
+    extractor_loader = ContentExtractorLoaderFactory.get_instance("file_content_extractor",
+                                                                  file_content_extractor_config)
+
+    # Configure and load the schema transformation module
+    transform_config = {
+        "schema_transform_config": {
+            "summary": {
+                "dtype": "str", "op_type": "select"
+            },
+            "title": {
+                "dtype": "str", "op_type": "select"
+            },
+            "content": {
+                "dtype": "str", "op_type": "select"
+            },
+            "source": {
+                "dtype": "str", "op_type": "select"
+            }
+        }
+    }
+    schema_transform_loader = SchemaTransformLoaderFactory.get_instance("schema_transform", transform_config)
+
+    deserialize_loader = DeserializeLoaderFactory.get_instance(
+        "deserialize", {
+            "batch_size": validated_config.batch_size, "message_type": "ControlMessage"
+        })
+
+    vdb_resource_tagging_loader = VDBResourceTaggingLoaderFactory.get_instance(
+        "vdb_resource_tagging", {"vdb_resource_name": validated_config.vdb_resource_name})
+
+    monitor_1_loader = MonitorLoaderFactory.get_instance(
+        "monitor_1", {
+            "description": "FileSourcePipe Transform", "silence_monitors": not enable_monitor
+        })
+
+    monitor_2_loader = MonitorLoaderFactory.get_instance(
+        "monitor_2", {
+            "description": "File Source Deserialize", "silence_monitors": not enable_monitor
+        })
+
+    # Load modules
+    multi_file_module = multi_file_loader.load(builder=builder)
+    file_content_extractor_module = extractor_loader.load(builder=builder)
+    transform_module = schema_transform_loader.load(builder=builder)
+    monitor_1_module = monitor_1_loader.load(builder=builder)
+    deserialize_module = deserialize_loader.load(builder=builder)
+    vdb_resource_tagging_module = vdb_resource_tagging_loader.load(builder=builder)
+    monitor_2_module = monitor_2_loader.load(builder=builder)
+
+    # Connect the modules in the pipeline
+    builder.make_edge(multi_file_module.output_port("output"), file_content_extractor_module.input_port("input"))
+    builder.make_edge(file_content_extractor_module.output_port("output"), transform_module.input_port("input"))
+    builder.make_edge(transform_module.output_port("output"), monitor_1_module.input_port("input"))
+    builder.make_edge(monitor_1_module.output_port("output"), deserialize_module.input_port("input"))
+    builder.make_edge(deserialize_module.output_port("output"), vdb_resource_tagging_module.input_port("input"))
+    builder.make_edge(vdb_resource_tagging_module.output_port("output"), monitor_2_module.input_port("input"))
+
+    # Register the final output of the transformation module
+    builder.register_module_output("output", monitor_2_module.output_port("output"))
diff --git a/examples/llm/vdb_upload/module/rss_source_pipe.py b/examples/llm/vdb_upload/module/rss_source_pipe.py
new file mode 100644
index 0000000000..c424e03dbc
--- /dev/null
+++ b/examples/llm/vdb_upload/module/rss_source_pipe.py
@@ -0,0 +1,207 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+from typing import Any
+from typing import Dict
+from typing import List
+from typing import Optional
+
+import mrc
+from pydantic import BaseModel
+from pydantic import Field
+from pydantic import ValidationError
+from pydantic import validator
+
+from morpheus.modules.general.monitor import MonitorLoaderFactory
+from morpheus.modules.input.rss_source import RSSSourceLoaderFactory
+from morpheus.modules.preprocess.deserialize import DeserializeLoaderFactory
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+from .schema_transform import SchemaTransformLoaderFactory
+from .vdb_resource_tagging_module import VDBResourceTaggingLoaderFactory
+from .web_scraper_module import WebScraperLoaderFactory
+
+logger = logging.getLogger(__name__)
+
+
+class RSSSourcePipeSchema(BaseModel):
+    batch_size: int = 32
+    cache_dir: str = "./.cache/http"
+    cooldown_interval_sec: int = 600
+    enable_cache: bool = False
+    enable_monitor: bool = True
+    feed_input: List[str] = Field(default_factory=list)
+    interval_sec: int = 600
+    output_batch_size: int = 2048
+    request_timeout_sec: float = 2.0
+    run_indefinitely: bool = True
+    stop_after_sec: int = 0
+    vdb_resource_name: str
+    web_scraper_config: Optional[Dict[Any, Any]] = None
+
+    @validator('feed_input', pre=True)
+    def validate_feed_input(cls, to_validate):  # pylint: disable=no-self-argument
+        if isinstance(to_validate, str):
+            return [to_validate]
+
+        if isinstance(to_validate, list):
+            return to_validate
+
+        raise ValueError('feed_input must be a string or a list of strings')
+
+    class Config:
+        extra = "forbid"
+
+
+RSSSourcePipeLoaderFactory = ModuleLoaderFactory("rss_source_pipe", "morpheus_examples_llm", RSSSourcePipeSchema)
+
+
+@register_module("rss_source_pipe", "morpheus_examples_llm")
+def _rss_source_pipe(builder: mrc.Builder):
+    """
+    Creates a pipeline for processing RSS feeds.
+
+    This function sets up a pipeline that takes RSS feed data, scrapes web content
+    based on the feed, and then outputs the scraped data. It integrates modules like RSS source,
+    web scraper, and deserializer, along with monitoring for each stage.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        The Morpheus builder to which the pipeline modules will be added.
+
+    Notes
+    -----
+    The module configuration can include the following parameters:
+
+    - **rss_config**: Configuration for the RSS source module.
+      - **batch_size**: Number of RSS feed items to process in each batch.
+      - **cache_dir**: Directory for caching RSS feed data.
+      - **cooldown_interval_sec**: Cooldown interval in seconds between fetches.
+      - **enable_cache**: Boolean to enable caching of feed data.
+      - **enable_monitor**: Boolean to enable monitoring for this module.
+      - **feed_input**: List of RSS feed URLs to process.
+      - **interval_sec**: Interval in seconds for fetching new feed items.
+      - **request_timeout_sec**: Timeout in seconds for RSS feed requests.
+      - **run_indefinitely**: Boolean to indicate continuous running.
+      - **stop_after**: Number of records to process before stopping (0 for indefinite).
+      - **web_scraper_config**: Configuration for the web scraper module.
+        - **chunk_overlap**: Overlap size for chunks in web scraping.
+        - **chunk_size**: Size of content chunks for processing.
+        - **enable_cache**: Boolean to enable caching of scraped data.
+
+    The pipeline connects these modules in the following order:
+    RSS Source -> Web Scraper -> Deserializer, with monitoring at each stage.
+    """
+
+    # Load and validate the module configuration from the builder
+    module_config = builder.get_current_module_config()
+    rss_config = module_config.get("rss_config", {})
+    try:
+        validated_config = RSSSourcePipeSchema(**rss_config)
+    except ValidationError as e:
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid RSS source configuration: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    enable_monitor = validated_config.enable_monitor
+
+    rss_source_config = {
+        "feed_input": validated_config.feed_input,
+        "run_indefinitely": validated_config.run_indefinitely,
+        "batch_size": validated_config.batch_size,
+        "enable_cache": validated_config.enable_cache,
+        "cache_dir": validated_config.cache_dir,
+        "cooldown_interval_sec": validated_config.cooldown_interval_sec,
+        "request_timeout_sec": validated_config.request_timeout_sec,
+        "interval_sec": validated_config.interval_sec,
+        "stop_after_sec": validated_config.stop_after_sec,
+    }
+    rss_source_loader = RSSSourceLoaderFactory.get_instance("rss_source", {"rss_source": rss_source_config})
+
+    web_scraper_loader = WebScraperLoaderFactory.get_instance(
+        "web_scraper", {
+            "web_scraper_config": validated_config.web_scraper_config,
+        })
+
+    transform_config = {
+        "schema_transform_config": {
+            "summary": {
+                "dtype": "str", "op_type": "select"
+            },
+            "title": {
+                "dtype": "str", "op_type": "select"
+            },
+            "content": {
+                "from": "page_content", "dtype": "str", "op_type": "rename"
+            },
+            "source": {
+                "from": "link", "dtype": "str", "op_type": "rename"
+            }
+        }
+    }
+    schema_transform_loader = SchemaTransformLoaderFactory.get_instance("schema_transform", transform_config)
+
+    deserialize_loader = DeserializeLoaderFactory.get_instance(
+        "deserialize", {
+            "batch_size": validated_config.output_batch_size, "message_type": "ControlMessage"
+        })
+
+    vdb_resource_tagging_loader = VDBResourceTaggingLoaderFactory.get_instance(
+        "vdb_resource_tagging", {"vdb_resource_name": validated_config.vdb_resource_name})
+
+    monitor_0_loader = MonitorLoaderFactory.get_instance(
+        "monitor_m1", {
+            "description": "RSSSourcePipe RSS Source", "silence_monitors": not enable_monitor
+        })
+    monitor_1_loader = MonitorLoaderFactory.get_instance(
+        "monitor_0", {
+            "description": "RSSSourcePipe Web Scraper", "silence_monitors": not enable_monitor
+        })
+    monitor_2_loader = MonitorLoaderFactory.get_instance(
+        "monitor_1", {
+            "description": "RSSSourcePipe Transform", "silence_monitors": not enable_monitor
+        })
+    monitor_3_loader = MonitorLoaderFactory.get_instance(
+        "monitor_2", {
+            "description": "RSSSourcePipe Deserialize", "silence_monitors": not enable_monitor
+        })
+
+    # Load modules
+    rss_source_module = rss_source_loader.load(builder=builder)
+    monitor_0_loader = monitor_0_loader.load(builder=builder)
+    web_scraper_module = web_scraper_loader.load(builder=builder)
+    monitor_0_module = monitor_1_loader.load(builder=builder)
+    transform_module = schema_transform_loader.load(builder=builder)
+    monitor_1_module = monitor_2_loader.load(builder=builder)
+    deserialize_module = deserialize_loader.load(builder=builder)
+    vdb_resource_tagging_module = vdb_resource_tagging_loader.load(builder=builder)
+    monitor_2_module = monitor_3_loader.load(builder=builder)
+
+    # Connect the modules: RSS source -> Web scraper -> Schema transform
+    builder.make_edge(rss_source_module.output_port("output"), monitor_0_loader.input_port("input"))
+    builder.make_edge(monitor_0_loader.output_port("output"), web_scraper_module.input_port("input"))
+    builder.make_edge(web_scraper_module.output_port("output"), monitor_0_module.input_port("input"))
+    builder.make_edge(monitor_0_module.output_port("output"), transform_module.input_port("input"))
+    builder.make_edge(transform_module.output_port("output"), monitor_1_module.input_port("input"))
+    builder.make_edge(monitor_1_module.output_port("output"), deserialize_module.input_port("input"))
+    builder.make_edge(deserialize_module.output_port("output"), vdb_resource_tagging_module.input_port("input"))
+    builder.make_edge(vdb_resource_tagging_module.output_port("output"), monitor_2_module.input_port("input"))
+
+    # Register the final output of the transformation module
+    builder.register_module_output("output", monitor_2_module.output_port("output"))
diff --git a/examples/llm/vdb_upload/module/schema_transform.py b/examples/llm/vdb_upload/module/schema_transform.py
new file mode 100644
index 0000000000..43e86c3dd4
--- /dev/null
+++ b/examples/llm/vdb_upload/module/schema_transform.py
@@ -0,0 +1,142 @@
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+from typing import Any
+from typing import Dict
+from typing import Optional
+
+import mrc
+import mrc.core.operators as ops
+from pydantic import BaseModel
+from pydantic import Field
+from pydantic import ValidationError
+
+import cudf
+
+from morpheus.messages import MessageMeta
+from morpheus.utils.column_info import ColumnInfo
+from morpheus.utils.column_info import DataFrameInputSchema
+from morpheus.utils.column_info import RenameColumn
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+logger = logging.getLogger(__name__)
+
+
+class ColumnTransformSchema(BaseModel):
+    dtype: str
+    op_type: str
+    from_: Optional[str] = Field(None, alias="from")
+
+    class Config:
+        extra = "forbid"
+
+
+class SchemaTransformSchema(BaseModel):
+    schema_transform_config: Dict[str, Dict[str, Any]] = Field(default_factory=dict)
+
+    class Config:
+        extra = "forbid"
+
+
+SchemaTransformLoaderFactory = ModuleLoaderFactory("schema_transform", "morpheus_examples_llm", SchemaTransformSchema)
+
+
+@register_module("schema_transform", "morpheus_examples_llm")
+def _schema_transform(builder: mrc.Builder):
+    """
+    A module for applying simple DataFrame schema transform policies.
+
+    This module reads the configuration to determine how to set data types for columns, select, or rename them in the
+    dataframe.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        The Morpheus pipeline builder object.
+
+    Notes
+    -------------
+    The configuration should be passed to the module through the `module_config` attribute of the builder. It should
+    contain a dictionary where each key is a column name, and the value is another dictionary with keys 'dtype' for
+    data type, 'op_type' for operation type ('select' or 'rename'), and optionally 'from' for the original column
+    name (if the column is to be renamed).
+
+    Example Configuration
+    ---------------------
+    {
+        "summary": {"dtype": "str", "op_type": "select"},
+        "title": {"dtype": "str", "op_type": "select"},
+        "content": {"from": "page_content", "dtype": "str", "op_type": "rename"},
+        "source": {"from": "link", "dtype": "str", "op_type": "rename"}
+    }
+    """
+
+    module_config = builder.get_current_module_config()
+
+    # Validate the module configuration using the contract
+    try:
+        validated_config = SchemaTransformSchema(**module_config)
+    except ValidationError as e:
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid schema transform configuration: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    schema_config: dict[str, dict[str, Any]] = validated_config.schema_transform_config
+
+    source_column_info = []
+    preserve_columns = []
+
+    for col_name, col_config in schema_config.items():  # pylint: disable=no-member
+        op_type = col_config.get("op_type")
+        if (op_type == "rename"):
+            # Handling renamed columns
+            source_column_info.append(
+                RenameColumn(name=col_name, dtype=col_config["dtype"], input_name=col_config["from"]))
+        elif (op_type == "select"):
+            # Handling regular columns
+            source_column_info.append(ColumnInfo(name=col_name, dtype=col_config["dtype"]))
+        else:
+            raise ValueError(f"Unknown op_type '{op_type}' for column '{col_name}'")
+
+        preserve_columns.append(col_name)
+
+    source_schema = DataFrameInputSchema(column_info=source_column_info)
+
+    def do_transform(message: MessageMeta):
+        if (message is None):
+            return None
+
+        with message.mutable_dataframe() as mdf:
+            if (len(mdf) == 0):
+                return None
+
+            for col_info in source_schema.column_info:
+                try:
+                    mdf[col_info.name] = col_info._process_column(mdf)
+                except Exception as exc_info:
+                    logger.exception("Failed to process column '%s'. Dataframe: \n%s\n%s", col_info.name, mdf, exc_info)
+                    return None
+
+            mdf = mdf[preserve_columns]
+
+            return MessageMeta(df=cudf.DataFrame(mdf))
+
+    node = builder.make_node("schema_transform", ops.map(do_transform), ops.filter(lambda x: x is not None))
+
+    builder.register_module_input("input", node)
+    builder.register_module_output("output", node)
diff --git a/examples/llm/vdb_upload/module/vdb_resource_tagging_module.py b/examples/llm/vdb_upload/module/vdb_resource_tagging_module.py
new file mode 100644
index 0000000000..2e3227149a
--- /dev/null
+++ b/examples/llm/vdb_upload/module/vdb_resource_tagging_module.py
@@ -0,0 +1,60 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+
+import mrc
+from pydantic import BaseModel
+from pydantic import ValidationError
+
+from morpheus.messages import ControlMessage
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+logger = logging.getLogger(__name__)
+
+
+class VDBResourceTaggingSchema(BaseModel):
+    vdb_resource_name: str
+
+    class Config:
+        extra = "forbid"
+
+
+VDBResourceTaggingLoaderFactory = ModuleLoaderFactory("vdb_resource_tagging",
+                                                      "morpheus_examples_llm",
+                                                      VDBResourceTaggingSchema)
+
+
+@register_module("vdb_resource_tagging", "morpheus_examples_llm")
+def _vdb_resource_tagging(builder: mrc.Builder):
+    module_config = builder.get_current_module_config()
+    try:
+        validated_config = VDBResourceTaggingSchema(**module_config)
+    except ValidationError as e:
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid RSS source configuration: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    def on_data(data: ControlMessage):
+        data.set_metadata("vdb_resource", validated_config.vdb_resource_name)
+
+        return data
+
+    node = builder.make_node("vdb_resource_tagging", on_data)
+
+    builder.register_module_input("input", node)
+    builder.register_module_output("output", node)
diff --git a/examples/llm/vdb_upload/module/web_scraper_module.py b/examples/llm/vdb_upload/module/web_scraper_module.py
new file mode 100644
index 0000000000..c361339d49
--- /dev/null
+++ b/examples/llm/vdb_upload/module/web_scraper_module.py
@@ -0,0 +1,149 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import os
+from functools import partial
+
+import mrc
+import mrc.core.operators as ops
+import requests
+import requests_cache
+from bs4 import BeautifulSoup
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from pydantic import BaseModel  # pylint: disable=no-name-in-module
+from pydantic import ValidationError
+
+import cudf
+
+from morpheus.messages import MessageMeta
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+logger = logging.getLogger(__name__)
+
+
+class WebScraperSchema(BaseModel):
+    link_column: str = "link"
+    chunk_size: int = 512
+    chunk_overlap: int = 51
+    enable_cache: bool = False
+    cache_path: str = "./.cache/http/RSSDownloadStage.sqlite"
+    cache_dir: str = "./.cache/llm/rss"
+
+    class Config:
+        extra = "forbid"
+
+
+WebScraperLoaderFactory = ModuleLoaderFactory("web_scraper", "morpheus_examples_llm", WebScraperSchema)
+
+
+def download_and_split(msg: MessageMeta, text_splitter, link_column, session) -> MessageMeta:
+    """
+        Uses the HTTP GET method to download/scrape the links found in the message, splits the scraped data, and stores
+        it in the output, excludes output for any links which produce an error.
+    """
+    if (link_column not in msg.get_column_names()):
+        return None
+
+    df = msg.copy_dataframe()
+
+    # Convert the dataframe into a list of dictionaries
+    df_dicts = df.to_dict(orient="records")
+
+    final_rows: list[dict] = []
+
+    for row in df_dicts:
+        url = row[link_column]
+
+        try:
+            # Try to get the page content
+            response = session.get(url)
+
+            if (not response.ok):
+                logger.warning("Error downloading document from URL '%s'. " + "Returned code: %s. With reason: '%s'",
+                               url,
+                               response.status_code,
+                               response.reason)
+                continue
+
+            raw_html = response.text
+            soup = BeautifulSoup(raw_html, "html.parser")
+
+            text = soup.get_text(strip=True, separator=' ')
+            split_text = text_splitter.split_text(text)
+
+            for text in split_text:
+                row_cp = row.copy()
+                row_cp.update({"page_content": text})
+                final_rows.append(row_cp)
+
+            if isinstance(response, requests_cache.models.response.CachedResponse):
+                logger.debug("Processed cached page: '%s'", url)
+            else:
+                logger.debug("Processed page: '%s'", url)
+
+        except ValueError as exc:
+            logger.error("Error parsing document: %s", exc)
+            continue
+        except Exception as exc:
+            logger.error("Error downloading document from URL '%s'. Error: %s", url, exc)
+            continue
+
+    return MessageMeta(df=cudf.DataFrame(final_rows))
+
+
+@register_module("web_scraper", "morpheus_examples_llm")
+def _web_scraper(builder: mrc.Builder):
+    module_config = builder.get_current_module_config()
+
+    # Validate the module configuration using the contract
+    try:
+        web_scraper_config = WebScraperSchema(**module_config.get("web_scraper_config", {}))
+    except ValidationError as e:
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid web scraper configuration: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    link_column = web_scraper_config.link_column
+    chunk_size = web_scraper_config.chunk_size
+    enable_cache = web_scraper_config.enable_cache
+    cache_path = web_scraper_config.cache_path
+    cache_dir = web_scraper_config.cache_dir
+
+    if (enable_cache):
+        os.makedirs(cache_dir, exist_ok=True)
+
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size,
+                                                   chunk_overlap=chunk_size // 10,
+                                                   length_function=len)
+
+    if (enable_cache):
+        session = requests_cache.CachedSession(cache_path, backend='sqlite')
+    else:
+        session = requests.Session()
+
+    session.headers.update({
+        "User-Agent":
+            "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36"
+    })
+
+    op_func = partial(download_and_split, text_splitter=text_splitter, link_column=link_column, session=session)
+
+    node = builder.make_node("web_scraper", ops.map(op_func), ops.filter(lambda x: x is not None))
+
+    builder.register_module_input("input", node)
+    builder.register_module_output("output", node)
diff --git a/examples/llm/vdb_upload/module/web_scraper_stage.py b/examples/llm/vdb_upload/module/web_scraper_stage.py
new file mode 100644
index 0000000000..422fa833b7
--- /dev/null
+++ b/examples/llm/vdb_upload/module/web_scraper_stage.py
@@ -0,0 +1,103 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import typing
+
+import mrc
+from web_scraper_module import WebScraperLoaderFactory
+
+from morpheus.config import Config
+from morpheus.messages import MessageMeta
+from morpheus.pipeline.single_port_stage import SinglePortStage
+from morpheus.pipeline.stage_schema import StageSchema
+
+logger = logging.getLogger(f"morpheus.{__name__}")
+
+
+class WebScraperStage(SinglePortStage):
+    """
+    Stage for scraping web based content using the HTTP GET protocol.
+
+    Parameters
+    ----------
+    c : morpheus.config.Config
+        Pipeline configuration instance.
+    chunk_size : int
+        Size in which to split the scraped content.
+    link_column : str, default="link"
+        Column which contains the links to scrape.
+    enable_cache : bool, default = False
+        Enables caching for requests data.
+    cache_path : str, default="./.cache/http/RSSDownloadStage.sqlite"
+        The path for the response caching system's sqlite database.
+    """
+
+    def __init__(self,
+                 c: Config,
+                 *,
+                 chunk_size: int,
+                 link_column: str = "link",
+                 enable_cache: bool = False,
+                 cache_path: str = "./.cache/http/RSSDownloadStage.sqlite"):
+        super().__init__(c)
+
+        self._module_config = {
+            "web_scraper_config": {
+                "link_column": link_column,
+                "chunk_size": chunk_size,
+                "enable_cache": enable_cache,
+                "cache_path": cache_path,
+                "cache_dir": "./.cache/llm/rss",
+            }
+        }
+
+        self._input_port_name = "input"
+        self._output_port_name = "output"
+
+        self._module_loader = WebScraperLoaderFactory.get_instance("web_scraper", self._module_config)
+
+    @property
+    def name(self) -> str:
+        """Returns the name of this stage."""
+        return "rss-download"
+
+    def accepted_types(self) -> typing.Tuple:
+        """
+        Returns accepted input types for this stage.
+
+        Returns
+        -------
+        typing.Tuple(`morpheus.pipeline.messages.MessageMeta`, )
+            Accepted input types.
+
+        """
+        return (MessageMeta, )
+
+    def supports_cpp_node(self):
+        """Indicates whether this stage supports a C++ node."""
+        return False
+
+    def compute_schema(self, schema: StageSchema):
+        schema.output_schema.set_type(MessageMeta)
+
+    def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
+        module = self._module_loader.load(builder=builder)
+
+        mod_in_node = module.input_port(self._input_port_name)
+        mod_out_node = module.output_port(self._output_port_name)
+
+        builder.make_edge(input_node, mod_in_node)
+
+        return mod_out_node
diff --git a/examples/llm/vdb_upload/pipeline.py b/examples/llm/vdb_upload/pipeline.py
index 134e31c24c..494446d16c 100644
--- a/examples/llm/vdb_upload/pipeline.py
+++ b/examples/llm/vdb_upload/pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -11,107 +11,93 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+
 import logging
 import time
+import typing
+
+from vdb_upload.helper import process_vdb_sources
 
 from morpheus.config import Config
-from morpheus.config import PipelineModes
-from morpheus.pipeline.linear_pipeline import LinearPipeline
+from morpheus.pipeline.pipeline import Pipeline
 from morpheus.stages.general.monitor_stage import MonitorStage
 from morpheus.stages.general.trigger_stage import TriggerStage
 from morpheus.stages.inference.triton_inference_stage import TritonInferenceStage
-from morpheus.stages.input.rss_source_stage import RSSSourceStage
 from morpheus.stages.output.write_to_vector_db_stage import WriteToVectorDBStage
-from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
 from morpheus.stages.preprocess.preprocess_nlp_stage import PreprocessNLPStage
 
-from ..common.utils import build_milvus_config
-from ..common.utils import build_rss_urls
-from ..common.web_scraper_stage import WebScraperStage
-
 logger = logging.getLogger(__name__)
 
 
-def pipeline(num_threads: int,
-             pipeline_batch_size: int,
-             model_max_batch_size: int,
-             model_fea_length: int,
-             embedding_size: int,
-             model_name: str,
-             isolate_embeddings: bool,
-             stop_after: int,
-             enable_cache: bool,
-             interval_secs: int,
-             run_indefinitely: bool,
-             vector_db_uri: str,
-             vector_db_service: str,
-             vector_db_resource_name: str,
-             triton_server_url: str):
-
-    config = Config()
-    config.mode = PipelineModes.NLP
-
-    # Below properties are specified by the command line
-    config.num_threads = num_threads
-    config.pipeline_batch_size = pipeline_batch_size
-    config.model_max_batch_size = model_max_batch_size
-    config.feature_length = model_fea_length
-    config.edge_buffer_size = 128
+def pipeline(pipeline_config: Config,
+             source_config: typing.List,
+             vdb_config: typing.Dict,
+             embeddings_config: typing.Dict,
+             tokenizer_config: typing.Dict) -> float:
+    """
+    Sets up and runs a data processing pipeline based on provided configurations.
+
+    Parameters
+    ----------
+    pipeline_config : Dict
+        General configuration for the pipeline, including number of threads and batch sizes.
+    source_config : List[Dict]
+        Configuration for data sources, specifying the type of sources to use (e.g., 'rss', 'filesystem') and their
+        individual settings.
+    vdb_config : Dict
+        Configuration settings for the vector database, detailing how vectors should be stored, queried, and managed.
+    embeddings_config : Dict
+        Configuration for generating embeddings, including model name, embedding size, and any model-specific settings.
+    tokenizer_config : Dict
+        Configuration for the tokenizer, specifying how text should be tokenized before embedding. Includes tokenizer
+        model and settings.
+
+    Returns
+    -------
+    float
+        The start time of the pipeline execution, typically represented as a timestamp.
+    """
+
+    isolate_embeddings = embeddings_config.get('isolate_embeddings', False)
+
+    pipe = Pipeline(pipeline_config)
+
+    vdb_sources = process_vdb_sources(pipe, pipeline_config, source_config)
+
+    trigger = None
+    if (isolate_embeddings):
+        trigger = pipe.add_stage(TriggerStage(pipeline_config))
 
-    config.class_labels = [str(i) for i in range(embedding_size)]
+    nlp_stage = pipe.add_stage(PreprocessNLPStage(pipeline_config, **tokenizer_config.get("model_kwargs", {})))
 
-    pipe = LinearPipeline(config)
+    monitor_1 = pipe.add_stage(
+        MonitorStage(pipeline_config, description="Tokenize rate", unit='events', delayed_start=True))
 
-    # add rss source stage
-    pipe.set_source(
-        RSSSourceStage(config,
-                       feed_input=build_rss_urls(),
-                       batch_size=128,
-                       stop_after=stop_after,
-                       run_indefinitely=run_indefinitely,
-                       enable_cache=enable_cache,
-                       interval_secs=interval_secs))
+    embedding_stage = pipe.add_stage(TritonInferenceStage(pipeline_config, **embeddings_config.get('model_kwargs', {})))
 
-    pipe.add_stage(MonitorStage(config, description="Source rate", unit='pages'))
+    monitor_2 = pipe.add_stage(
+        MonitorStage(pipeline_config, description="Inference rate", unit="events", delayed_start=True))
 
-    pipe.add_stage(WebScraperStage(config, chunk_size=model_fea_length, enable_cache=enable_cache))
+    vector_db = pipe.add_stage(WriteToVectorDBStage(pipeline_config, **vdb_config))
 
-    pipe.add_stage(MonitorStage(config, description="Download rate", unit='pages'))
+    monitor_3 = pipe.add_stage(
+        MonitorStage(pipeline_config, description="Upload rate", unit="events", delayed_start=True))
 
-    # add deserialize stage
-    pipe.add_stage(DeserializeStage(config))
+    # Connect the pipeline
+    for source_output in vdb_sources:
+        if (isolate_embeddings):
+            pipe.add_edge(source_output, trigger)
+        else:
+            pipe.add_edge(source_output, nlp_stage)
 
     if (isolate_embeddings):
-        pipe.add_stage(TriggerStage(config))
-
-    # add preprocessing stage
-    pipe.add_stage(
-        PreprocessNLPStage(config,
-                           vocab_hash_file="data/bert-base-uncased-hash.txt",
-                           do_lower_case=True,
-                           truncation=True,
-                           add_special_tokens=False,
-                           column='page_content'))
-
-    pipe.add_stage(MonitorStage(config, description="Tokenize rate", unit='events', delayed_start=True))
-
-    pipe.add_stage(
-        TritonInferenceStage(config,
-                             model_name=model_name,
-                             server_url=triton_server_url,
-                             force_convert_inputs=True,
-                             use_shared_memory=True))
-    pipe.add_stage(MonitorStage(config, description="Inference rate", unit="events", delayed_start=True))
-
-    pipe.add_stage(
-        WriteToVectorDBStage(config,
-                             resource_name=vector_db_resource_name,
-                             resource_kwargs=build_milvus_config(embedding_size=embedding_size),
-                             recreate=True,
-                             service=vector_db_service,
-                             uri=vector_db_uri))
-
-    pipe.add_stage(MonitorStage(config, description="Upload rate", unit="events", delayed_start=True))
+        pipe.add_edge(trigger, nlp_stage)
+
+    pipe.add_edge(nlp_stage, monitor_1)
+    pipe.add_edge(monitor_1, embedding_stage)
+    pipe.add_edge(embedding_stage, monitor_2)
+    pipe.add_edge(monitor_2, vector_db)
+    pipe.add_edge(vector_db, monitor_3)
 
     start_time = time.time()
 
diff --git a/examples/llm/vdb_upload/requirements.yaml b/examples/llm/vdb_upload/requirements.yaml
deleted file mode 100644
index 68c4335c7f..0000000000
--- a/examples/llm/vdb_upload/requirements.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-channels:
-  - conda-forge
-  - defaults
-dependencies:
-  - arxiv=1.4
-  - onnx # required for triton model export
-  - pip
-  - pypdf=3.16
-  - newspaper3k=0.2
-  - requests-cache=1.1
-
-  ####### Pip Transitive Dependencies (keep sorted!) #######
-  # These are dependencies that are available on conda, but are required by the pip packages listed below. Its much
-  # better to install them with conda than pip to allow for better dependency resolution.
-  - environs=9.5
-  - minio=7.1
-  - pydantic=2.4
-  - python-dotenv=1.0
-  - ujson=5.8
-
-  ####### Pip Dependencies (keep sorted!) #######
-  - pip:
-    - grpcio-status==1.58 # To keep in sync with 1.58 grpcio which is installed for Morpheus
-    - langchain==0.0.310
-    - pymilvus==2.3.2 # The conda package is woefully out of date and incorrect
diff --git a/examples/llm/vdb_upload/run.py b/examples/llm/vdb_upload/run.py
index fb127f4fac..04627f8359 100644
--- a/examples/llm/vdb_upload/run.py
+++ b/examples/llm/vdb_upload/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -11,20 +11,18 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+
 import logging
 import os
 
 import click
+from vdb_upload.vdb_utils import build_cli_configs
+from vdb_upload.vdb_utils import build_final_config
+from vdb_upload.vdb_utils import is_valid_service
 
 logger = logging.getLogger(__name__)
 
 
-def is_valid_service(ctx, param, value):  # pylint: disable=unused-argument
-    from morpheus.service.vdb.utils import validate_service
-    value = value.lower()
-    return validate_service(service_name=value)
-
-
 @click.group(name=__name__)
 def run():
     pass
@@ -32,24 +30,35 @@ def run():
 
 @run.command()
 @click.option(
-    "--num_threads",
-    default=os.cpu_count(),
+    "--content_chunking_size",
+    default=512,  # Set a sensible default value
+    type=click.IntRange(min=1),  # Ensure that only positive integers are valid
+    help="The size of content chunks for processing.")
+@click.option(
+    "--embedding_size",
+    default=384,
     type=click.IntRange(min=1),
-    help="Number of internal pipeline threads to use",
+    help="Output size of the embedding model",
 )
 @click.option(
-    "--pipeline_batch_size",
-    default=1024,
-    type=click.IntRange(min=1),
-    help=("Internal batch size for the pipeline. Can be much larger than the model batch size. "
-          "Also used for Kafka consumers"),
+    "--enable_cache",
+    is_flag=True,
+    default=False,
+    help="Enable caching of RSS feed request data.",
 )
+@click.option("--enable_monitors", is_flag=True, default=False, help="Enable or disable monitor functionality.")
+@click.option('--file_source', multiple=True, default=[], type=str, help='List of file sources/paths to be processed.')
+@click.option('--feed_inputs', multiple=True, default=[], type=str, help='List of RSS source feeds to process.')
 @click.option(
-    "--model_max_batch_size",
-    default=64,
+    "--interval_secs",
+    default=600,
     type=click.IntRange(min=1),
-    help="Max batch size to use for the model",
+    help="Interval in seconds between fetching new feed items.",
 )
+@click.option("--isolate_embeddings",
+              is_flag=True,
+              default=False,
+              help="Whether to fetch all data prior to executing the rest of the pipeline.")
 @click.option(
     "--model_fea_length",
     default=512,
@@ -57,75 +66,113 @@ def run():
     help="Features length to use for the model",
 )
 @click.option(
-    "--embedding_size",
-    default=384,
+    "--model_max_batch_size",
+    default=256,
     type=click.IntRange(min=1),
-    help="Output size of the embedding model",
+    help="Max batch size to use for the model",
 )
 @click.option(
-    "--model_name",
+    "--embedding_model_name",
     required=True,
     default='all-MiniLM-L6-v2',
     help="The name of the model that is deployed on Triton server",
 )
-@click.option("--isolate_embeddings",
-              is_flag=True,
-              default=False,
-              help="Whether to fetch all data prior to executing the rest of the pipeline.")
-@click.option(
-    "--stop_after",
-    default=0,
-    type=click.IntRange(min=0),
-    help="Stop after emitting this many records from the RSS source stage. Useful for testing. Disabled if `0`",
-)
 @click.option(
-    "--enable_cache",
-    is_flag=True,
-    default=False,
-    help="Enable caching of RSS feed request data.",
+    "--num_threads",
+    default=os.cpu_count(),
+    type=click.IntRange(min=1),
+    help="Number of internal pipeline threads to use",
 )
 @click.option(
-    "--interval_secs",
-    default=600,
+    "--pipeline_batch_size",
+    default=1024,
     type=click.IntRange(min=1),
-    help="Interval in seconds between fetching new feed items.",
+    help=("Internal batch size for the pipeline. Can be much larger than the model batch size. "
+          "Also used for Kafka consumers"),
 )
 @click.option(
     "--run_indefinitely",
     is_flag=True,
     default=False,
-    help=" Indicates whether the process should run continuously.",
+    help="Indicates whether the process should run continuously.",
 )
 @click.option(
-    "--vector_db_uri",
-    type=str,
-    default="http://localhost:19530",
-    help="URI for connecting to Vector Database server.",
+    "--rss_request_timeout_sec",
+    default=2.0,  # Set a default value, adjust as needed
+    type=click.FloatRange(min=0.0),  # Ensure that only non-negative floats are valid
+    help="Timeout in seconds for RSS feed requests.")
+@click.option("--source_type",
+              multiple=True,
+              type=click.Choice(['rss', 'filesystem'], case_sensitive=False),
+              default=[],
+              show_default=True,
+              help="The type of source to use. Can specify multiple times for different source types.")
+@click.option(
+    "--stop_after",
+    default=0,
+    type=click.IntRange(min=0),
+    help="Stop after emitting this many records from the RSS source stage. Useful for testing. Disabled if `0`",
 )
 @click.option(
-    "--vector_db_service",
+    "--triton_server_url",
     type=str,
-    default="milvus",
-    callback=is_valid_service,
-    help="Name of the vector database service to use.",
+    default="localhost:8001",
+    help="Triton server URL.",
+)
+@click.option(
+    "--vdb_config_path",
+    type=click.Path(exists=True, file_okay=True, dir_okay=False, readable=True),
+    default=None,
+    help="Path to a YAML configuration file.",
 )
 @click.option(
     "--vector_db_resource_name",
     type=str,
-    default="RSS",
+    default="VDBUploadExample",
     help="The identifier of the resource on which operations are to be performed in the vector database.",
 )
 @click.option(
-    "--triton_server_url",
+    "--vector_db_service",
     type=str,
-    default="localhost:8001",
-    help="Triton server URL.",
+    default="milvus",
+    callback=is_valid_service,
+    help="Name of the vector database service to use.",
+)
+@click.option(
+    "--vector_db_uri",
+    type=str,
+    default="http://localhost:19530",
+    help="URI for connecting to Vector Database server.",
 )
 def pipeline(**kwargs):
-
+    """
+    Configure and run the data processing pipeline based on the specified command-line options.
+
+    This function initializes and runs the data processing pipeline using configurations provided
+    via command-line options. It supports customization for various components of the pipeline such as
+    source type, embedding model, and vector database parameters.
+
+    Parameters
+    ----------
+    **kwargs : dict
+        Keyword arguments containing command-line options.
+
+    Returns
+    -------
+    The result of the internal pipeline function call.
+    """
+    vdb_config_path = kwargs.pop('vdb_config_path', None)
+    cli_source_conf, cli_embed_conf, cli_pipe_conf, cli_tok_conf, cli_vdb_conf = build_cli_configs(**kwargs)
+    final_config = build_final_config(vdb_config_path,
+                                      cli_source_conf,
+                                      cli_embed_conf,
+                                      cli_pipe_conf,
+                                      cli_tok_conf,
+                                      cli_vdb_conf)
+
+    # Call the internal pipeline function with the final config dictionary
     from .pipeline import pipeline as _pipeline
-
-    return _pipeline(**kwargs)
+    return _pipeline(**final_config)
 
 
 @run.command()
@@ -142,7 +189,6 @@ def pipeline(**kwargs):
     help="Location to save the cache to",
 )
 def langchain(**kwargs):
-
     from .langchain import chain
 
     return chain(**kwargs)
@@ -179,7 +225,6 @@ def langchain(**kwargs):
     help="Overrides the model name that is used in triton. Defaults to `model_name`",
 )
 def export_triton_model(**kwargs):
-
     from .export_model import build_triton_model
 
     return build_triton_model(**kwargs)
diff --git a/examples/llm/vdb_upload/vdb_config.yaml b/examples/llm/vdb_upload/vdb_config.yaml
new file mode 100644
index 0000000000..0c1af37d22
--- /dev/null
+++ b/examples/llm/vdb_upload/vdb_config.yaml
@@ -0,0 +1,303 @@
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+vdb_pipeline:
+  embeddings:
+    isolate_embeddings: false
+    model_kwargs:
+      force_convert_inputs: true
+      model_name: "all-MiniLM-L6-v2"
+      server_url: "http://localhost:8001"
+      use_shared_memory: true
+
+  pipeline:
+    edge_buffer_size: 128
+    feature_length: 512
+    max_batch_size: 256
+    num_threads: 10
+    pipeline_batch_size: 128
+
+  sources:
+    - type: rss
+      name: "rss_cve"
+      config:
+        batch_size: 128 # Number of rss feeds per batch
+        cache_dir: "./.cache/http"
+        cooldown_interval_sec: 600
+        enable_cache: False
+        enable_monitor: True
+        feed_input:
+          - "https://www.theregister.com/security/headlines.atom"
+          - "https://isc.sans.edu/dailypodcast.xml"
+          - "https://threatpost.com/feed/"
+          - "http://feeds.feedburner.com/TheHackersNews?format=xml"
+          - "https://www.bleepingcomputer.com/feed/"
+          - "https://therecord.media/feed/"
+          - "https://blog.badsectorlabs.com/feeds/all.atom.xml"
+          - "https://krebsonsecurity.com/feed/"
+          - "https://www.darkreading.com/rss_simple.asp"
+          - "https://blog.malwarebytes.com/feed/"
+          - "https://msrc.microsoft.com/blog/feed"
+          - "https://securelist.com/feed"
+          - "https://www.crowdstrike.com/blog/feed/"
+          - "https://threatconnect.com/blog/rss/"
+          - "https://news.sophos.com/en-us/feed/"
+          - "https://www.us-cert.gov/ncas/current-activity.xml"
+          - "https://www.csoonline.com/feed"
+          - "https://www.cyberscoop.com/feed"
+          - "https://research.checkpoint.com/feed"
+          - "https://feeds.fortinet.com/fortinet/blog/threat-research"
+          - "https://www.mcafee.com/blogs/rss"
+          - "https://www.digitalshadows.com/blog-and-research/rss.xml"
+          - "https://www.nist.gov/news-events/cybersecurity/rss.xml"
+          - "https://www.sentinelone.com/blog/rss/"
+          - "https://www.bitdefender.com/blog/api/rss/labs/"
+          - "https://www.welivesecurity.com/feed/"
+          - "https://unit42.paloaltonetworks.com/feed/"
+          - "https://mandiant.com/resources/blog/rss.xml"
+          - "https://www.wired.com/feed/category/security/latest/rss"
+          - "https://www.wired.com/feed/tag/ai/latest/rss"
+          - "https://blog.google/threat-analysis-group/rss/"
+          - "https://intezer.com/feed/"
+        interval_sec: 600
+        output_batch_size: 2048 # Number of chunked documents per output batch
+        request_timeout_sec: 2.0
+        run_indefinitely: true
+        stop_after_sec: 0
+        web_scraper_config:
+          chunk_overlap: 51
+          chunk_size: 512
+          enable_cache: false
+        vdb_resource_name: "vdb_rss"
+
+    - type: filesystem
+      name: "filesystem_pdf_source"
+      config:
+        batch_size: 1024
+        extractor_config:
+          chunk_size: 512
+          num_threads: 10
+          chunk_overlap: 51
+        enable_monitor: True
+        filenames:
+          - "./morpheus/data/randomly_generated_cybersecurity_text.txt"
+        vdb_resource_name: "vdb_pdf"
+        watch: false
+
+    - type: filesystem
+      name: "filesystem_csv_source"
+      config:
+        batch_size: 1024
+        chunk_overlap: 51
+        chunk_size: 512
+        converters_meta:
+          csv:
+            chunk_overlap: 51
+            chunk_size: 1024
+            text_column_names: # For CSV files, the data from each text_column_name will be concatenated together.
+              - "raw"  # Requires same schema for all CSV files.
+              - "request_header_referer"
+        enable_monitor: True
+        filenames:
+          - "./models/datasets/training-data/log-parsing-training-data.csv"
+        vdb_resource_name: "vdb_csv"
+        watch: false
+
+    - type: custom
+      name: "custom_source_text"
+      config:
+        batch_size: 1024
+        enable_monitor: True
+        extractor_config:
+          chunk_size: 512
+          chunk_overlap: 51
+        config_name_mapping: "file_source_config"
+        filenames:
+          - "./morpheus/data/*.txt"
+        module_id: "file_source_pipe"
+        module_output_id: "output"
+        namespace: "morpheus_examples_llm"
+        vdb_resource_name: "VDBGENERAL"
+        watch: false
+
+  tokenizer:
+    model_kwargs:
+      add_special_tokens: false
+      column: "content"
+      do_lower_case: true
+      truncation: true
+      vocab_hash_file: "data/bert-base-uncased-hash.txt"
+    model_name: "bert-base-uncased-hash"
+
+  vdb:
+    batch_size: 16896
+    resource_name: "VDBGENERAL"  # Identifier for the resource in the vector database
+    embedding_size: 384
+    recreate: True  # Whether to recreate the resource if it already exists
+    service: "milvus"  # Specify the type of vector database
+    uri: "http://localhost:19530"  # URI for connecting to the Vector Database server
+    resource_schemas:
+      VDBGENERAL:
+        index_conf:
+          field_name: "embedding"
+          metric_type: "L2"
+          index_type: "HNSW"
+          params:
+            M: 8
+            efConstruction: 64
+
+        schema_conf:
+          enable_dynamic_field: true
+          schema_fields:
+            - name: id
+              dtype: INT64
+              description: Primary key for the collection
+              is_primary: true
+              auto_id: true
+            - name: title
+              dtype: VARCHAR
+              description: Title or heading of the data entry
+              max_length: 65_535
+            - name: source
+              dtype: VARCHAR
+              description: Source or origin of the data entry
+              max_length: 65_535
+            - name: summary
+              dtype: VARCHAR
+              description: Brief summary or abstract of the data content
+              max_length: 65_535
+            - name: content
+              dtype: VARCHAR
+              description: Main content or body of the data entry
+              max_length: 65_535
+            - name: embedding
+              dtype: FLOAT_VECTOR
+              description: Embedding vectors representing the data entry
+              dim: 384 # Size of the embeddings to store in the vector database
+          description: Collection schema for diverse data sources
+      vdb_pdf:
+        index_conf:
+          field_name: embedding
+          metric_type: L2
+          index_type: HNSW
+          params:
+            M: 8
+            efConstruction: 64
+
+        schema_conf:
+          enable_dynamic_field: true
+          schema_fields:
+            - name: id
+              dtype: INT64
+              description: Primary key for the collection
+              is_primary: true
+              auto_id: true
+            - name: title
+              dtype: VARCHAR
+              description: Title or heading of the data entry
+              max_length: 65_535
+            - name: source
+              dtype: VARCHAR
+              description: Source or origin of the data entry
+              max_length: 65_535
+            - name: summary
+              dtype: VARCHAR
+              description: Brief summary or abstract of the data content
+              max_length: 65_535
+            - name: content
+              dtype: VARCHAR
+              description: Main content or body of the data entry
+              max_length: 65_535
+            - name: embedding
+              dtype: FLOAT_VECTOR
+              description: Embedding vectors representing the data entry
+              dim: 384 # Size of the embeddings to store in the vector database
+          description: Collection schema for diverse data sources
+      vdb_csv:
+        index_conf:
+          field_name: embedding
+          metric_type: L2
+          index_type: HNSW
+          params:
+            M: 8
+            efConstruction: 64
+
+        schema_conf:
+          enable_dynamic_field: true
+          schema_fields:
+            - name: id
+              dtype: INT64
+              description: Primary key for the collection
+              is_primary: true
+              auto_id: true
+            - name: title
+              dtype: VARCHAR
+              description: Title or heading of the data entry
+              max_length: 65_535
+            - name: source
+              dtype: VARCHAR
+              description: Source or origin of the data entry
+              max_length: 65_535
+            - name: summary
+              dtype: VARCHAR
+              description: Brief summary or abstract of the data content
+              max_length: 65_535
+            - name: content
+              dtype: VARCHAR
+              description: Main content or body of the data entry
+              max_length: 65_535
+            - name: embedding
+              dtype: FLOAT_VECTOR
+              description: Embedding vectors representing the data entry
+              dim: 384 # Size of the embeddings to store in the vector database
+          description: Collection schema for diverse data sources
+      vdb_rss:
+        index_conf:
+          field_name: embedding
+          metric_type: L2
+          index_type: HNSW
+          params:
+            M: 8
+            efConstruction: 64
+
+        schema_conf:
+          enable_dynamic_field: true
+          schema_fields:
+            - name: id
+              dtype: INT64
+              description: Primary key for the collection
+              is_primary: true
+              auto_id: true
+            - name: title
+              dtype: VARCHAR
+              description: Title or heading of the data entry
+              max_length: 65_535
+            - name: source
+              dtype: VARCHAR
+              description: Source or origin of the data entry
+              max_length: 65_535
+            - name: summary
+              dtype: VARCHAR
+              description: Brief summary or abstract of the data content
+              max_length: 65_535
+            - name: content
+              dtype: VARCHAR
+              description: Main content or body of the data entry
+              max_length: 65_535
+            - name: embedding
+              dtype: FLOAT_VECTOR
+              description: Embedding vectors representing the data entry
+              dim: 384 # Size of the embeddings to store in the vector database
+          description: Collection schema for diverse data sources
\ No newline at end of file
diff --git a/examples/llm/vdb_upload/vdb_utils.py b/examples/llm/vdb_upload/vdb_utils.py
new file mode 100644
index 0000000000..2b399fcd21
--- /dev/null
+++ b/examples/llm/vdb_upload/vdb_utils.py
@@ -0,0 +1,567 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import typing
+
+import pymilvus
+import yaml
+
+from morpheus.config import Config
+from morpheus.config import PipelineModes
+from morpheus.service.vdb.milvus_client import DATA_TYPE_MAP
+
+logger = logging.getLogger(__name__)
+
+
+def build_milvus_config(resource_schema_config: dict):
+    schema_fields = []
+    for field_data in resource_schema_config["schema_conf"]["schema_fields"]:
+        field_data["dtype"] = DATA_TYPE_MAP.get(field_data["dtype"])
+        field_schema = pymilvus.FieldSchema(**field_data)
+        schema_fields.append(field_schema.to_dict())
+
+    resource_schema_config["schema_conf"]["schema_fields"] = schema_fields
+
+    return resource_schema_config
+
+
+def is_valid_service(ctx, param, value):  # pylint: disable=unused-argument
+    """
+    Validate the provided vector database service name.
+
+    Checks if the given vector database service name is supported and valid. This is used as a callback function
+    for a CLI option to ensure that the user inputs a supported service name.
+
+    Parameters
+    ----------
+    ctx : click.Context
+        The context within which the command is being invoked.
+    param : click.Parameter
+        The parameter object that this function serves as a callback for.
+    value : str
+        The value of the parameter to validate.
+
+    Returns
+    -------
+    str
+        The validated and lowercased service name.
+
+    Raises
+    ------
+    click.BadParameter
+        If the provided service name is not supported or invalid.
+    """
+    from morpheus.service.vdb.utils import validate_service
+    value = value.lower()
+    return validate_service(service_name=value)
+
+
+def merge_dicts(dict_1, dict_2):
+    """
+    Recursively merge two dictionaries.
+
+    Nested dictionaries are merged instead of being replaced.
+    Non-dict items in the second dictionary will override those in the first.
+
+    Parameters
+    ----------
+    dict_1 : dict
+        The first dictionary.
+    dict_2 : dict
+        The second dictionary, whose items will take precedence.
+
+    Returns
+    -------
+    dict
+        The merged dictionary.
+    """
+    for key, value in dict_2.items():
+        if key in dict_1 and isinstance(dict_1[key], dict) and isinstance(value, dict):
+            merge_dicts(dict_1[key], value)
+        else:
+            dict_1[key] = value
+    return dict_1
+
+
+def merge_configs(file_config, cli_config):
+    """
+    Merge two configuration dictionaries, prioritizing the CLI configuration.
+
+    This function merges configurations provided from a file and the CLI, with the CLI configuration taking precedence
+    in case of overlapping keys. Nested dictionaries are merged recursively.
+
+    Parameters
+    ----------
+    file_config : dict
+        The configuration dictionary loaded from a file.
+    cli_config : dict
+        The configuration dictionary provided via CLI arguments.
+
+    Returns
+    -------
+    dict
+        A merged dictionary with CLI configurations overriding file configurations where they overlap.
+    """
+    return merge_dicts(file_config.copy(), {k: v for k, v in cli_config.items() if v is not None})
+
+
+def _build_default_rss_source(enable_cache,
+                              enable_monitors,
+                              interval_secs,
+                              run_indefinitely,
+                              stop_after,
+                              vector_db_resource_name,
+                              content_chunking_size,
+                              rss_request_timeout_sec,
+                              feed_inputs):
+    return {
+        'type': 'rss',
+        'name': 'rss-cli',
+        'config': {
+            # RSS feeds can take a while to pull, smaller batch sizes allows the pipeline to feel more responsive
+            "batch_size": 32,
+            "output_batch_size": 2048,
+            "cache_dir": "./.cache/http",
+            "cooldown_interval_sec": interval_secs,
+            "stop_after_sec": stop_after,
+            "enable_cache": enable_cache,
+            "enable_monitor": enable_monitors,
+            "feed_input": feed_inputs if feed_inputs else build_rss_urls(),
+            "interval_sec": interval_secs,
+            "request_timeout_sec": rss_request_timeout_sec,
+            "run_indefinitely": run_indefinitely,
+            "vdb_resource_name": vector_db_resource_name,
+            "web_scraper_config": {
+                "chunk_size": content_chunking_size,
+                "enable_cache": enable_cache,
+            }
+        }
+    }
+
+
+def _build_default_filesystem_source(enable_monitors,
+                                     file_source,
+                                     pipeline_batch_size,
+                                     run_indefinitely,
+                                     vector_db_resource_name,
+                                     content_chunking_size,
+                                     num_threads):
+    return {
+        'type': 'filesystem',
+        'name': 'filesystem-cli',
+        'config': {
+            "batch_size": pipeline_batch_size,
+            "enable_monitor": enable_monitors,
+            "extractor_config": {
+                "chunk_size": content_chunking_size,
+                "num_threads": num_threads,
+            },
+            "filenames": file_source,
+            "vdb_resource_name": vector_db_resource_name,
+            "watch": run_indefinitely,
+        }
+    }
+
+
+def build_cli_configs(source_type,
+                      enable_cache,
+                      embedding_size,
+                      isolate_embeddings,
+                      embedding_model_name,
+                      enable_monitors,
+                      file_source,
+                      interval_secs,
+                      pipeline_batch_size,
+                      run_indefinitely,
+                      stop_after,
+                      vector_db_resource_name,
+                      vector_db_service,
+                      vector_db_uri,
+                      content_chunking_size,
+                      num_threads,
+                      rss_request_timeout_sec,
+                      model_max_batch_size,
+                      model_fea_length,
+                      triton_server_url,
+                      feed_inputs):
+    """
+    Create configuration dictionaries based on CLI arguments.
+
+    Constructs individual configuration dictionaries for various components of the data processing pipeline,
+    such as source, embeddings, pipeline, tokenizer, and vector database configurations.
+
+    Parameters
+    ----------
+    source_type : list of str
+        Types of data sources (e.g., 'rss', 'filesystem').
+    enable_cache : bool
+        Flag to enable caching.
+    embedding_size : int
+        Size of the embeddings.
+    isolate_embeddings : bool
+        Flag to isolate embeddings.
+    embedding_model_name : str
+        Name of the embedding model.
+    enable_monitors : bool
+        Flag to enable monitor functionality.
+    file_source : list of str
+        File sources or paths to be processed.
+    interval_secs : int
+        Interval in seconds for operations.
+    pipeline_batch_size : int
+        Batch size for the pipeline.
+    run_indefinitely : bool
+        Flag to run the process indefinitely.
+    stop_after : int
+        Stop after a certain number of records.
+    vector_db_resource_name : str
+        Name of the resource in the vector database.
+    vector_db_service : str
+        Name of the vector database service.
+    vector_db_uri : str
+        URI for the vector database server.
+    content_chunking_size : int
+        Size of content chunks.
+    num_threads : int
+        Number of threads to use.
+    rss_request_timeout_sec : float
+        Timeout in seconds for RSS requests.
+    model_max_batch_size : int
+        Maximum batch size for the model.
+    model_fea_length : int
+        Feature length for the model.
+    triton_server_url : str
+        URL of the Triton server.
+    feed_inputs : list of str
+        RSS feed inputs.
+
+    Returns
+    -------
+    tuple
+        A tuple containing five dictionaries for source, embeddings, pipeline, tokenizer, and vector database
+        configurations.
+    """
+
+    # Source Configuration
+    cli_source_conf = {}
+    if 'rss' in source_type:
+        cli_source_conf['rss'] = _build_default_rss_source(enable_cache,
+                                                           enable_monitors,
+                                                           interval_secs,
+                                                           run_indefinitely,
+                                                           stop_after,
+                                                           vector_db_resource_name,
+                                                           content_chunking_size,
+                                                           rss_request_timeout_sec,
+                                                           feed_inputs)
+    if 'filesystem' in source_type:
+        cli_source_conf['filesystem'] = _build_default_filesystem_source(enable_monitors,
+                                                                         file_source,
+                                                                         pipeline_batch_size,
+                                                                         run_indefinitely,
+                                                                         vector_db_resource_name,
+                                                                         content_chunking_size,
+                                                                         num_threads)
+
+    # Embeddings Configuration
+    cli_embeddings_conf = {
+        "feature_length": model_fea_length,
+        "max_batch_size": model_max_batch_size,
+        "model_kwargs": {
+            "force_convert_inputs": True,
+            "model_name": embedding_model_name,
+            "server_url": triton_server_url,
+            "use_shared_memory": True,
+        },
+        "num_threads": num_threads,
+    }
+
+    # Pipeline Configuration
+    cli_pipeline_conf = {
+        "edge_buffer_size": 128,
+        "embedding_size": embedding_size,
+        "feature_length": model_fea_length,
+        "isolate_embeddings": isolate_embeddings,
+        "max_batch_size": 256,
+        "num_threads": num_threads,
+        "pipeline_batch_size": pipeline_batch_size,
+    }
+
+    # Tokenizer Configuration
+    cli_tokenizer_conf = {
+        "model_name": "bert-base-uncased-hash",
+        "model_kwargs": {
+            "add_special_tokens": False,
+            "column": "content",
+            "do_lower_case": True,
+            "truncation": True,
+            "vocab_hash_file": "data/bert-base-uncased-hash.txt",
+        }
+    }
+
+    # VDB Configuration
+    cli_vdb_conf = {
+        # Vector db upload has some significant transaction overhead, batch size here should be as large as possible
+        'batch_size': 16384,
+        'resource_name': vector_db_resource_name,
+        'embedding_size': embedding_size,
+        'recreate': True,
+        'resource_schemas': {
+            vector_db_resource_name:
+                build_defualt_milvus_config(embedding_size) if (vector_db_service == 'milvus') else None,
+        },
+        'service': vector_db_service,
+        'uri': vector_db_uri,
+    }
+
+    return cli_source_conf, cli_embeddings_conf, cli_pipeline_conf, cli_tokenizer_conf, cli_vdb_conf
+
+
+def build_pipeline_config(pipeline_config: dict):
+    """
+    Construct a pipeline configuration object from a dictionary.
+
+    Parameters
+    ----------
+    pipeline_config : dict
+        A dictionary containing pipeline configuration parameters.
+
+    Returns
+    -------
+    Config
+        A pipeline configuration object populated with values from the input dictionary.
+
+    Notes
+    -----
+    This function is responsible for mapping a dictionary of configuration parameters
+    into a structured configuration object used by the pipeline.
+    """
+
+    config = Config()
+    config.mode = PipelineModes.NLP
+
+    embedding_size = pipeline_config.get('embedding_size')
+
+    config.num_threads = pipeline_config.get('num_threads')
+    config.pipeline_batch_size = pipeline_config.get('pipeline_batch_size')
+    config.model_max_batch_size = pipeline_config.get('max_batch_size')
+    config.feature_length = pipeline_config.get('feature_length')
+    config.edge_buffer_size = pipeline_config.get('edge_buffer_size')
+    config.class_labels = [str(i) for i in range(embedding_size)]
+
+    return config
+
+
+def build_final_config(vdb_conf_path,
+                       cli_source_conf,
+                       cli_embeddings_conf,
+                       cli_pipeline_conf,
+                       cli_tokenizer_conf,
+                       cli_vdb_conf):
+    """
+    Load and merge configurations from the CLI and YAML file.
+
+    This function combines the configurations provided via the CLI with those specified in a YAML file.
+    If a YAML configuration file is specified and exists, it will merge its settings with the CLI settings,
+    with the YAML settings taking precedence.
+
+    Parameters
+    ----------
+    vdb_conf_path : str
+        Path to the YAML configuration file.
+    cli_source_conf : dict
+        Source configuration provided via CLI.
+    cli_embeddings_conf : dict
+        Embeddings configuration provided via CLI.
+    cli_pipeline_conf : dict
+        Pipeline configuration provided via CLI.
+    cli_tokenizer_conf : dict
+        Tokenizer configuration provided via CLI.
+    cli_vdb_conf : dict
+        Vector Database (VDB) configuration provided via CLI.
+
+    Returns
+    -------
+    dict
+        A dictionary containing the final merged configuration for the pipeline, including source, embeddings,
+        tokenizer, and VDB configurations.
+
+    Notes
+    -----
+    The function prioritizes the YAML file configurations over CLI configurations. In case of overlapping
+    settings, the values from the YAML file will overwrite those from the CLI.
+    """
+    final_config = {}
+
+    # Load and merge configurations from the YAML file if it exists
+    if vdb_conf_path:
+        with open(vdb_conf_path, 'r', encoding='utf-8') as file:
+            vdb_pipeline_config = yaml.safe_load(file).get('vdb_pipeline', {})
+
+        embeddings_conf = merge_configs(vdb_pipeline_config.get('embeddings', {}), cli_embeddings_conf)
+        pipeline_conf = merge_configs(vdb_pipeline_config.get('pipeline', {}), cli_pipeline_conf)
+        source_conf = vdb_pipeline_config.get('sources', []) + list(cli_source_conf.values())
+        tokenizer_conf = merge_configs(vdb_pipeline_config.get('tokenizer', {}), cli_tokenizer_conf)
+        vdb_conf = vdb_pipeline_config.get('vdb', {})
+        resource_schema = vdb_conf.pop("resource_schema", None)
+
+        if resource_schema:
+            vdb_conf["resource_kwargs"] = build_milvus_config(resource_schema)
+        vdb_conf = merge_configs(vdb_conf, cli_vdb_conf)
+
+        pipeline_conf['embedding_size'] = vdb_conf.get('embedding_size', 384)
+
+        final_config.update({
+            'embeddings_config': embeddings_conf,
+            'pipeline_config': build_pipeline_config(pipeline_conf),
+            'source_config': source_conf,
+            'tokenizer_config': tokenizer_conf,
+            'vdb_config': vdb_conf,
+        })
+    else:
+        # Use CLI configurations only
+        final_config.update({
+            'embeddings_config': cli_embeddings_conf,
+            'pipeline_config': build_pipeline_config(cli_pipeline_conf),
+            'source_config': list(cli_source_conf.values()),
+            'tokenizer_config': cli_tokenizer_conf,
+            'vdb_config': cli_vdb_conf,
+        })
+
+    # If no sources are specified either via CLI or in the yaml config, add a default RSS source
+    if (not final_config['source_config']):
+        final_config['source_config'].append(
+            _build_default_rss_source(enable_cache=True,
+                                      enable_monitors=True,
+                                      interval_secs=60,
+                                      run_indefinitely=True,
+                                      stop_after=None,
+                                      vector_db_resource_name="VDBUploadExample",
+                                      content_chunking_size=128,
+                                      rss_request_timeout_sec=30,
+                                      feed_inputs=build_rss_urls()))
+
+    return final_config
+
+
+def build_defualt_milvus_config(embedding_size: int) -> typing.Dict[str, typing.Any]:
+    """
+    Builds the configuration for Milvus.
+
+    This function creates a dictionary configuration for a Milvus collection.
+    It includes the index configuration and the schema configuration, with
+    various fields like id, title, link, summary, page_content, and embedding.
+
+    Parameters
+    ----------
+    embedding_size : int
+        The size of the embedding vector.
+
+    Returns
+    -------
+    typing.Dict[str, Any]
+        A dictionary containing the configuration settings for Milvus.
+    """
+
+    milvus_resource_kwargs = {
+        "index_conf": {
+            "field_name": "embedding",
+            "metric_type": "L2",
+            "index_type": "HNSW",
+            "params": {
+                "M": 8,
+                "efConstruction": 64,
+            },
+        },
+        "schema_conf": {
+            "enable_dynamic_field": True,
+            "schema_fields": [
+                pymilvus.FieldSchema(name="id",
+                                     dtype=pymilvus.DataType.INT64,
+                                     description="Primary key for the collection",
+                                     is_primary=True,
+                                     auto_id=True).to_dict(),
+                pymilvus.FieldSchema(name="title",
+                                     dtype=pymilvus.DataType.VARCHAR,
+                                     description="The title of the RSS Page",
+                                     max_length=65_535).to_dict(),
+                pymilvus.FieldSchema(name="source",
+                                     dtype=pymilvus.DataType.VARCHAR,
+                                     description="The URL of the RSS Page",
+                                     max_length=65_535).to_dict(),
+                pymilvus.FieldSchema(name="summary",
+                                     dtype=pymilvus.DataType.VARCHAR,
+                                     description="The summary of the RSS Page",
+                                     max_length=65_535).to_dict(),
+                pymilvus.FieldSchema(name="content",
+                                     dtype=pymilvus.DataType.VARCHAR,
+                                     description="A chunk of text from the RSS Page",
+                                     max_length=65_535).to_dict(),
+                pymilvus.FieldSchema(name="embedding",
+                                     dtype=pymilvus.DataType.FLOAT_VECTOR,
+                                     description="Embedding vectors",
+                                     dim=embedding_size).to_dict(),
+            ],
+            "description": "Test collection schema"
+        }
+    }
+
+    return milvus_resource_kwargs
+
+
+def build_rss_urls() -> typing.List[str]:
+    """
+    Builds a list of RSS feed URLs.
+
+    Returns
+    -------
+    typing.List[str]
+        A list of URLs as strings, each pointing to a different RSS feed.
+    """
+
+    return [
+        "https://www.theregister.com/security/headlines.atom",
+        "https://isc.sans.edu/dailypodcast.xml",
+        "https://threatpost.com/feed/",
+        "http://feeds.feedburner.com/TheHackersNews?format=xml",
+        "https://www.bleepingcomputer.com/feed/",
+        "https://therecord.media/feed/",
+        "https://blog.badsectorlabs.com/feeds/all.atom.xml",
+        "https://krebsonsecurity.com/feed/",
+        "https://www.darkreading.com/rss_simple.asp",
+        "https://blog.malwarebytes.com/feed/",
+        "https://msrc.microsoft.com/blog/feed",
+        "https://securelist.com/feed",
+        "https://www.crowdstrike.com/blog/feed/",
+        "https://threatconnect.com/blog/rss/",
+        "https://news.sophos.com/en-us/feed/",
+        "https://www.us-cert.gov/ncas/current-activity.xml",
+        "https://www.csoonline.com/feed",
+        "https://www.cyberscoop.com/feed",
+        "https://research.checkpoint.com/feed",
+        "https://feeds.fortinet.com/fortinet/blog/threat-research",
+        "https://www.mcafee.com/blogs/rss",
+        "https://www.digitalshadows.com/blog-and-research/rss.xml",
+        "https://www.nist.gov/news-events/cybersecurity/rss.xml",
+        "https://www.sentinelone.com/blog/rss/",
+        "https://www.bitdefender.com/blog/api/rss/labs/",
+        "https://www.welivesecurity.com/feed/",
+        "https://unit42.paloaltonetworks.com/feed/",
+        "https://mandiant.com/resources/blog/rss.xml",
+        "https://www.wired.com/feed/category/security/latest/rss",
+        "https://www.wired.com/feed/tag/ai/latest/rss",
+        "https://blog.google/threat-analysis-group/rss/",
+        "https://intezer.com/feed/",
+    ]
diff --git a/examples/log_parsing/README.md b/examples/log_parsing/README.md
index 55dbffa0bb..ce9790be06 100644
--- a/examples/log_parsing/README.md
+++ b/examples/log_parsing/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -63,7 +63,7 @@ python run.py \
     --num_threads 1 \
     --input_file ${MORPHEUS_ROOT}/models/datasets/validation-data/log-parsing-validation-data-input.csv \
     --output_file ./log-parsing-output.jsonlines \
-    --model_vocab_hash_file=${MORPHEUS_ROOT}/morpheus/data/bert-base-cased-hash.txt \
+    --model_vocab_hash_file=data/bert-base-cased-hash.txt \
     --model_vocab_file=${MORPHEUS_ROOT}/models/training-tuning-scripts/sid-models/resources/bert-base-cased-vocab.txt \
     --model_seq_length=256 \
     --model_name log-parsing-onnx \
@@ -110,11 +110,11 @@ PYTHONPATH="examples/log_parsing" \
 morpheus --log_level INFO \
 	--plugin "inference" \
 	--plugin "postprocessing" \
-	run --num_threads 1 --use_cpp False --pipeline_batch_size 1024 --model_max_batch_size 32  \
+	run --num_threads 1 --pipeline_batch_size 1024 --model_max_batch_size 32  \
 	pipeline-nlp \
 	from-file --filename ./models/datasets/validation-data/log-parsing-validation-data-input.csv  \
 	deserialize \
-	preprocess --vocab_hash_file ${MORPHEUS_ROOT}/morpheus/data/bert-base-cased-hash.txt --stride 64 --column=raw \
+	preprocess --vocab_hash_file data/bert-base-cased-hash.txt --stride 64 --column=raw \
 	monitor --description "Preprocessing rate" \
 	inf-logparsing --model_name log-parsing-onnx --server_url localhost:8001 --force_convert_inputs=True \
 	monitor --description "Inference rate" --unit inf \
diff --git a/examples/log_parsing/__init__.py b/examples/log_parsing/__init__.py
index 87f77145af..981f4d2051 100644
--- a/examples/log_parsing/__init__.py
+++ b/examples/log_parsing/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/log_parsing/inference.py b/examples/log_parsing/inference.py
index f298cbce64..486e5aada2 100644
--- a/examples/log_parsing/inference.py
+++ b/examples/log_parsing/inference.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -13,33 +13,28 @@
 # limitations under the License.
 
 import logging
-import typing
-from functools import partial
 
 import cupy as cp
-import mrc
 import numpy as np
 import tritonclient.grpc as tritonclient
-from mrc.core import operators as ops
 from scipy.special import softmax
 
-from messages import MultiPostprocLogParsingMessage  # pylint: disable=no-name-in-module
-from messages import PostprocMemoryLogParsing  # pylint: disable=no-name-in-module
-from messages import ResponseMemoryLogParsing  # pylint: disable=no-name-in-module
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
 from morpheus.config import PipelineModes
 from morpheus.messages import MultiInferenceMessage
+from morpheus.messages import MultiInferenceNLPMessage
+from morpheus.messages import MultiResponseMessage
+from morpheus.messages import TensorMemory
 from morpheus.pipeline.stage_schema import StageSchema
-from morpheus.stages.inference.inference_stage import InferenceStage
-from morpheus.stages.inference.inference_stage import InferenceWorker
-from morpheus.stages.inference.triton_inference_stage import _TritonInferenceWorker
+from morpheus.stages.inference.triton_inference_stage import TritonInferenceStage
+from morpheus.stages.inference.triton_inference_stage import TritonInferenceWorker
 from morpheus.utils.producer_consumer_queue import ProducerConsumerQueue
 
 logger = logging.getLogger(__name__)
 
 
-class TritonInferenceLogParsing(_TritonInferenceWorker):
+class TritonInferenceLogParsing(TritonInferenceWorker):
     """
     This class extends TritonInference to deal with scenario-specific NLP models inference requests like building
     response.
@@ -59,78 +54,47 @@ class TritonInferenceLogParsing(_TritonInferenceWorker):
     use_shared_memory: bool, default = True
         Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using CUDA IPC reduces network
         transfer time but requires that Morpheus and Triton are located on the same machine
-
+    needs_logits : bool, default = True
+        Determines whether a logits calculation is needed for the value returned by the Triton inference response.
     """
 
-    def __init__(self,
-                 inf_queue: ProducerConsumerQueue,
-                 c: Config,
-                 model_name: str,
-                 server_url: str,
-                 force_convert_inputs: bool,
-                 use_shared_memory: bool,
-                 inout_mapping: typing.Dict[str, str] = None):
-        # Some models use different names for the same thing. Set that here but allow user customization
-        default_mapping = {
-            "attention_mask": "input_mask",
-        }
-
-        default_mapping.update(inout_mapping if inout_mapping is not None else {})
-
-        super().__init__(inf_queue,
-                         c,
-                         model_name=model_name,
-                         server_url=server_url,
-                         force_convert_inputs=force_convert_inputs,
-                         use_shared_memory=use_shared_memory,
-                         inout_mapping=default_mapping)
-
-    @classmethod
-    def needs_logits(cls):
-        return True
-
-    @classmethod
-    def default_inout_mapping(cls) -> typing.Dict[str, str]:
-        # Some models use different names for the same thing. Set that here but allow user customization
-        return {"attention_mask": "input_mask"}
-
-    def build_output_message(self, x: MultiInferenceMessage) -> MultiPostprocLogParsingMessage:
+    def build_output_message(self, x: MultiInferenceMessage) -> MultiResponseMessage:
+        seq_ids = cp.zeros((x.count, 3), dtype=cp.uint32)
+        seq_ids[:, 0] = cp.arange(x.mess_offset, x.mess_offset + x.count, dtype=cp.uint32)
+        seq_ids[:, 2] = x.get_tensor('seq_ids')[:, 2]
 
-        memory = PostprocMemoryLogParsing(
+        memory = TensorMemory(
             count=x.count,
-            confidences=cp.zeros((x.count, self._inputs[list(self._inputs.keys())[0]].shape[1])),
-            labels=cp.zeros((x.count, self._inputs[list(self._inputs.keys())[0]].shape[1])),
-            input_ids=cp.zeros((x.count, x.input_ids.shape[1])),
-            seq_ids=cp.zeros((x.count, x.seq_ids.shape[1])),
-        )
-
-        output_message = MultiPostprocLogParsingMessage(meta=x.meta,
-                                                        mess_offset=x.mess_offset,
-                                                        mess_count=x.mess_count,
-                                                        memory=memory,
-                                                        offset=0,
-                                                        count=x.count)
-        return output_message
-
-    def _build_response(self, batch: MultiInferenceMessage,
-                        result: tritonclient.InferResult) -> ResponseMemoryLogParsing:
-
-        output = {output.mapped_name: result.as_numpy(output.name) for output in self._outputs.values()}
-        output = {key: softmax(val, axis=2) for key, val in output.items()}
-        confidences = {key: np.amax(val, axis=2) for key, val in output.items()}
-        labels = {key: np.argmax(val, axis=2) for key, val in output.items()}
-
-        mem = ResponseMemoryLogParsing(
-            count=output[list(output.keys())[0]].shape[0],
-            confidences=cp.array(confidences[list(output.keys())[0]]),
-            labels=cp.array(labels[list(output.keys())[0]]),
-        )
-
-        return mem
+            tensors={
+                'confidences': cp.zeros((x.count, self._inputs[list(self._inputs.keys())[0]].shape[1])),
+                'labels': cp.zeros((x.count, self._inputs[list(self._inputs.keys())[0]].shape[1])),
+                'input_ids': cp.zeros((x.count, x.get_tensor('input_ids').shape[1])),
+                'seq_ids': seq_ids
+            })
+
+        return MultiResponseMessage(meta=x.meta,
+                                    mess_offset=x.mess_offset,
+                                    mess_count=x.mess_count,
+                                    memory=memory,
+                                    offset=0,
+                                    count=x.count)
+
+    def _build_response(self, batch: MultiInferenceMessage, result: tritonclient.InferResult) -> TensorMemory:
+
+        outputs = {output.mapped_name: result.as_numpy(output.name) for output in self._outputs.values()}
+        outputs = {key: softmax(val, axis=2) for key, val in outputs.items()}
+        confidences = {key: np.amax(val, axis=2) for key, val in outputs.items()}
+        labels = {key: np.argmax(val, axis=2) for key, val in outputs.items()}
+
+        return TensorMemory(count=outputs[list(outputs.keys())[0]].shape[0],
+                            tensors={
+                                'confidences': cp.array(confidences[list(outputs.keys())[0]]),
+                                'labels': cp.array(labels[list(outputs.keys())[0]])
+                            })
 
 
 @register_stage("inf-logparsing", modes=[PipelineModes.NLP])
-class LogParsingInferenceStage(InferenceStage):
+class LogParsingInferenceStage(TritonInferenceStage):
     """
     NLP Triton inference stage for log parsing pipeline.
 
@@ -149,7 +113,11 @@ class LogParsingInferenceStage(InferenceStage):
     use_shared_memory: bool, default = False, is_flag = True
         Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using CUDA IPC reduces network
         transfer time but requires that Morpheus and Triton are located on the same machine
-
+    needs_logits : bool, default = True, is_flag = True
+        Determines whether a logits calculation is needed for the value returned by the Triton inference response.
+    inout_mapping : dict[str, str], optional
+        Dictionary used to map pipeline input/output names to Triton input/output names. Use this if the
+        Morpheus names do not match the model.
     """
 
     def __init__(self,
@@ -157,109 +125,67 @@ def __init__(self,
                  model_name: str,
                  server_url: str,
                  force_convert_inputs: bool = False,
-                 use_shared_memory: bool = False):
-        super().__init__(c)
-
-        self._config = c
-
-        self._kwargs = {
-            "model_name": model_name,
-            "server_url": server_url,
-            "force_convert_inputs": force_convert_inputs,
-            "use_shared_memory": use_shared_memory,
-        }
-
-        self._requires_seg_ids = False
+                 use_shared_memory: bool = False,
+                 needs_logits: bool = True,
+                 inout_mapping: dict[str, str] = None):
+        super().__init__(c,
+                         model_name=model_name,
+                         server_url=server_url,
+                         force_convert_inputs=force_convert_inputs,
+                         use_shared_memory=use_shared_memory,
+                         needs_logits=needs_logits,
+                         inout_mapping=inout_mapping)
 
-    def supports_cpp_node(self):
-        # Get the value from the worker class
+    def supports_cpp_node(self) -> bool:
         return False
 
     def compute_schema(self, schema: StageSchema):
-        schema.output_schema.set_type(MultiPostprocLogParsingMessage)
-
-    def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
-
-        def py_inference_fn(obs: mrc.Observable, sub: mrc.Subscriber):
-
-            worker = self._get_inference_worker(self._inf_queue)
-
-            worker.init()
-
-            outstanding_requests = 0
-
-            def on_next(x: MultiInferenceMessage):
-                nonlocal outstanding_requests
-
-                batches = self._split_batches(x, self._max_batch_size)
-
-                output_message = worker.build_output_message(x)
-
-                memory = output_message.memory
-
-                fut_list = []
-
-                for batch in batches:
-                    outstanding_requests += 1
-
-                    fut = mrc.Future()
-
-                    def set_output_fut(resp: ResponseMemoryLogParsing, inner_b, inner_f: mrc.Future):
-                        nonlocal outstanding_requests
-                        inner_memory = self._convert_one_response(memory, inner_b, resp)
+        schema.output_schema.set_type(MultiResponseMessage)
 
-                        inner_f.set_result(inner_memory)
-
-                        outstanding_requests -= 1
-
-                    fut_list.append(fut)
-
-                    worker.process(batch, partial(set_output_fut, inner_b=batch, inner_f=fut))
-
-                for f in fut_list:
-                    f.result()
-
-                return output_message
-
-            obs.pipe(ops.map(on_next)).subscribe(sub)
-
-            assert outstanding_requests == 0, "Not all inference requests were completed"
+    @staticmethod
+    def _convert_one_response(output: MultiResponseMessage, inf: MultiInferenceNLPMessage,
+                              res: TensorMemory) -> MultiResponseMessage:
+        memory = output.memory
 
-        if (self._build_cpp_node()):
-            node = self._get_cpp_inference_node(builder)
-        else:
-            node = builder.make_node(self.unique_name, ops.build(py_inference_fn))
+        out_seq_ids = memory.get_tensor('seq_ids')
+        input_ids = memory.get_tensor('input_ids')
+        confidences = memory.get_tensor('confidences')
+        labels = memory.get_tensor('labels')
 
-        # Set the concurrency level to be up with the thread count
-        node.launch_options.pe_count = self._thread_count
-        builder.make_edge(input_node, node)
+        seq_ids = inf.get_id_tensor()
 
-        return node
+        seq_offset = seq_ids[0, 0].item() - output.mess_offset
+        seq_count = (seq_ids[-1, 0].item() + 1 - seq_offset) - output.mess_offset
 
-    @staticmethod
-    def _convert_one_response(output: PostprocMemoryLogParsing,
-                              inf: MultiInferenceMessage,
-                              res: ResponseMemoryLogParsing):
+        input_ids[inf.offset:inf.count + inf.offset, :] = inf.get_tensor('input_ids')
+        out_seq_ids[inf.offset:inf.count + inf.offset, :] = seq_ids
 
-        output.input_ids[inf.offset:inf.count + inf.offset, :] = inf.input_ids
-        output.seq_ids[inf.offset:inf.count + inf.offset, :] = inf.seq_ids
+        resp_confidences = res.get_tensor('confidences')
+        resp_labels = res.get_tensor('labels')
 
         # Two scenarios:
         if (inf.mess_count == inf.count):
-            output.confidences[inf.offset:inf.count + inf.offset, :] = res.confidences
-            output.labels[inf.offset:inf.count + inf.offset, :] = res.labels
+            assert seq_count == res.count
+            confidences[inf.offset:inf.offset + inf.count, :] = resp_confidences
+            labels[inf.offset:inf.offset + inf.count, :] = resp_labels
         else:
             assert inf.count == res.count
 
-            mess_ids = inf.seq_ids[:, 0].get().tolist()
+            mess_ids = seq_ids[:, 0].get().tolist()
 
-            # Out message has more reponses, so we have to do key based blending of probs
             for i, idx in enumerate(mess_ids):
-                output.confidences[idx, :] = cp.maximum(output.confidences[idx, :], res.confidences[i, :])
-                output.labels[idx, :] = cp.maximum(output.labels[idx, :], res.labels[i, :])
-
-        return MultiPostprocLogParsingMessage.from_message(inf, memory=output, offset=inf.offset, count=inf.mess_count)
-
-    def _get_inference_worker(self, inf_queue: ProducerConsumerQueue) -> InferenceWorker:
-
-        return TritonInferenceLogParsing(inf_queue, self._config, **self._kwargs)
+                confidences[idx, :] = cp.maximum(confidences[idx, :], resp_confidences[i, :])
+                labels[idx, :] = cp.maximum(labels[idx, :], resp_labels[i, :])
+
+        return MultiResponseMessage.from_message(inf, memory=memory, offset=inf.offset, count=inf.mess_count)
+
+    def _get_inference_worker(self, inf_queue: ProducerConsumerQueue) -> TritonInferenceLogParsing:
+        return TritonInferenceLogParsing(inf_queue=inf_queue,
+                                         c=self._config,
+                                         server_url=self._server_url,
+                                         model_name=self._model_name,
+                                         force_convert_inputs=self._force_convert_inputs,
+                                         use_shared_memory=self._use_shared_memory,
+                                         input_mapping=self._input_mapping,
+                                         output_mapping=self._output_mapping,
+                                         needs_logits=self._needs_logits)
diff --git a/examples/log_parsing/messages.py b/examples/log_parsing/messages.py
deleted file mode 100644
index f39c9093db..0000000000
--- a/examples/log_parsing/messages.py
+++ /dev/null
@@ -1,205 +0,0 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import dataclasses
-
-import cupy as cp
-
-from morpheus.messages import InferenceMemory
-from morpheus.messages import MultiInferenceMessage
-from morpheus.messages import MultiResponseMessage
-from morpheus.messages import ResponseMemory
-from morpheus.messages.data_class_prop import DataClassProp
-
-
-@dataclasses.dataclass(init=False)
-class ResponseMemoryLogParsing(ResponseMemory, cpp_class=None):
-
-    confidences: dataclasses.InitVar[cp.ndarray] = DataClassProp(ResponseMemory._get_tensor_prop,
-                                                                 ResponseMemory.set_output)
-    labels: dataclasses.InitVar[cp.ndarray] = DataClassProp(ResponseMemory._get_tensor_prop, ResponseMemory.set_output)
-
-    def __init__(self, *, count: int, confidences: cp.ndarray, labels: cp.ndarray):
-        super().__init__(count=count, tensors={'confidences': confidences, 'labels': labels})
-
-
-@dataclasses.dataclass
-class MultiResponseLogParsingMessage(MultiResponseMessage, cpp_class=None):
-    """
-    A stronger typed version of `MultiResponseMessage` that is used for inference workloads that return a probability
-    array. Helps ensure the proper outputs are set and eases debugging.
-    """
-
-    @property
-    def confidences(self):
-        """
-        Returns token-ids for each string padded with 0s to max_length.
-
-        Returns
-        -------
-        cupy.ndarray
-            The token-ids for each string padded with 0s to max_length.
-
-        """
-
-        return self.get_output("confidences")
-
-    @property
-    def labels(self):
-        """
-        Returns sequence ids, which are used to keep track of which inference requests belong to each message.
-
-        Returns
-        -------
-        cupy.ndarray
-            Ids used to index from an inference input to a message. Necessary since there can be more
-            inference inputs than messages (i.e. If some messages get broken into multiple inference requests)
-
-        """
-
-        return self.get_output("labels")
-
-    @property
-    def input_ids(self):
-        """
-        input_ids
-
-        Returns
-        -------
-        cp.ndarray
-            input_ids
-
-        """
-
-        return self.get_output("input_ids")
-
-    @property
-    def seq_ids(self):
-        """
-        seq_ids
-
-        Returns
-        -------
-        cp.ndarray
-            seq_ids
-
-        """
-
-        return self.get_output("seq_ids")
-
-
-@dataclasses.dataclass(init=False)
-class PostprocMemoryLogParsing(InferenceMemory):
-    """
-    This is a container class for data that needs to be submitted to the inference server for NLP category
-    usecases.
-
-    Parameters
-    ----------
-    confidences: cp.ndarray
-        confidences calculated from softmax
-    labels: cp.ndarray
-        index of highest confidence
-    input_ids : cp.ndarray
-        The token-ids for each string padded with 0s to max_length.
-    seq_ids : cp.ndarray
-        Ids used to index from an inference input to a message. Necessary since there can be more inference
-        inputs than messages (i.e. If some messages get broken into multiple inference requests)
-
-    """
-
-    confidences: dataclasses.InitVar[cp.ndarray] = DataClassProp(InferenceMemory._get_tensor_prop,
-                                                                 InferenceMemory.set_input)
-    labels: dataclasses.InitVar[cp.ndarray] = DataClassProp(InferenceMemory._get_tensor_prop, InferenceMemory.set_input)
-    input_ids: dataclasses.InitVar[cp.ndarray] = DataClassProp(InferenceMemory._get_tensor_prop,
-                                                               InferenceMemory.set_input)
-    seq_ids: dataclasses.InitVar[cp.ndarray] = DataClassProp(InferenceMemory._get_tensor_prop,
-                                                             InferenceMemory.set_input)
-
-    def __init__(self,
-                 *,
-                 count: int,
-                 confidences: cp.ndarray,
-                 labels: cp.ndarray,
-                 input_ids: cp.ndarray,
-                 seq_ids: cp.ndarray):
-        super().__init__(count=count,
-                         tensors={
-                             'confidences': confidences, 'labels': labels, 'input_ids': input_ids, 'seq_ids': seq_ids
-                         })
-
-
-@dataclasses.dataclass
-class MultiPostprocLogParsingMessage(MultiInferenceMessage):
-    """
-    A stronger typed version of `MultiInferenceMessage` that is used for NLP workloads. Helps ensure the
-    proper inputs are set and eases debugging.
-    """
-
-    @property
-    def confidences(self):
-        """
-        Returns token-ids for each string padded with 0s to max_length.
-
-        Returns
-        -------
-        cupy.ndarray
-            The token-ids for each string padded with 0s to max_length.
-
-        """
-
-        return self.get_input("confidences")
-
-    @property
-    def labels(self):
-        """
-        Returns sequence ids, which are used to keep track of which inference requests belong to each message.
-
-        Returns
-        -------
-        cupy.ndarray
-            Ids used to index from an inference input to a message. Necessary since there can be more
-            inference inputs than messages (i.e. If some messages get broken into multiple inference requests)
-
-        """
-
-        return self.get_input("labels")
-
-    @property
-    def input_ids(self):
-        """
-        input_ids
-
-        Returns
-        -------
-        cp.ndarray
-            input_ids
-
-        """
-
-        return self.get_input("input_ids")
-
-    @property
-    def seq_ids(self):
-        """
-        seq_ids
-
-        Returns
-        -------
-        cp.ndarray
-            seq_ids
-
-        """
-
-        return self.get_input("seq_ids")
diff --git a/examples/log_parsing/postprocessing.py b/examples/log_parsing/postprocessing.py
index c36d7c897e..728b2c2594 100644
--- a/examples/log_parsing/postprocessing.py
+++ b/examples/log_parsing/postprocessing.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -22,11 +22,13 @@
 import pandas as pd
 from mrc.core import operators as ops
 
-from messages import MultiPostprocLogParsingMessage  # pylint: disable=no-name-in-module
+import cudf
+
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
 from morpheus.config import PipelineModes
 from morpheus.messages import MessageMeta
+from morpheus.messages import MultiResponseMessage
 from morpheus.pipeline.single_port_stage import SinglePortStage
 from morpheus.pipeline.stage_schema import StageSchema
 
@@ -73,18 +75,18 @@ def supports_cpp_node(self):
         return False
 
     def accepted_types(self) -> typing.Tuple:
-        return (MultiPostprocLogParsingMessage, )
+        return (MultiResponseMessage, )
 
     def compute_schema(self, schema: StageSchema):
         schema.output_schema.set_type(MessageMeta)
 
-    def _postprocess(self, x: MultiPostprocLogParsingMessage):
+    def _postprocess(self, x: MultiResponseMessage):
 
-        infer_pdf = pd.DataFrame(x.seq_ids.get()).astype(int)
+        infer_pdf = pd.DataFrame(x.get_tensor('seq_ids').get()).astype(int)
         infer_pdf.columns = ["doc", "start", "stop"]
-        infer_pdf["confidences"] = x.confidences.tolist()
-        infer_pdf["labels"] = x.labels.tolist()
-        infer_pdf["token_ids"] = x.input_ids.tolist()
+        infer_pdf["confidences"] = x.get_tensor('confidences').tolist()
+        infer_pdf["labels"] = x.get_tensor('labels').tolist()
+        infer_pdf["token_ids"] = x.get_tensor('input_ids').tolist()
 
         infer_pdf["confidences"] = infer_pdf.apply(lambda row: row["confidences"][row["start"]:row["stop"]], axis=1)
 
@@ -115,8 +117,7 @@ def _postprocess(self, x: MultiPostprocLogParsingMessage):
 
         # decode cleanup
         parsed_df = self.__decode_cleanup(parsed_df)
-
-        return MessageMeta(df=parsed_df)
+        return MessageMeta(df=cudf.DataFrame.from_pandas(parsed_df))
 
     def __get_label_dicts(self, row):
         token_dict = defaultdict(str)
diff --git a/examples/log_parsing/run.py b/examples/log_parsing/run.py
index 71db12c831..b0dfe76fd3 100644
--- a/examples/log_parsing/run.py
+++ b/examples/log_parsing/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,11 +15,12 @@
 import os
 
 import click
+# pylint: disable=no-name-in-module
 from inference import LogParsingInferenceStage
 from postprocessing import LogParsingPostProcessingStage
 
+from morpheus.cli.utils import MorpheusRelativePath
 from morpheus.config import Config
-from morpheus.config import CppConfig
 from morpheus.config import PipelineModes
 from morpheus.pipeline import LinearPipeline
 from morpheus.stages.general.monitor_stage import MonitorStage
@@ -62,7 +63,7 @@
 )
 @click.option('--model_vocab_hash_file',
               required=True,
-              type=click.Path(exists=True, dir_okay=False),
+              type=MorpheusRelativePath(exists=True, dir_okay=False),
               help="Model vocab hash file to use for pre-processing.")
 @click.option('--model_vocab_file',
               required=True,
@@ -92,8 +93,6 @@ def run_pipeline(
     model_config_file,
     server_url,
 ):
-    CppConfig.set_should_use_cpp(False)
-
     config = Config()
     config.mode = PipelineModes.NLP
     config.num_threads = num_threads
diff --git a/examples/nlp_si_detection/README.md b/examples/nlp_si_detection/README.md
index 1241e22c20..32cc2f23b5 100644
--- a/examples/nlp_si_detection/README.md
+++ b/examples/nlp_si_detection/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/nlp_si_detection/run.sh b/examples/nlp_si_detection/run.sh
index 14c60c8ac2..f702784968 100755
--- a/examples/nlp_si_detection/run.sh
+++ b/examples/nlp_si_detection/run.sh
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/ransomware_detection/README.md b/examples/ransomware_detection/README.md
index 4f2bc1a228..23f44e4ede 100644
--- a/examples/ransomware_detection/README.md
+++ b/examples/ransomware_detection/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/ransomware_detection/common/__init__.py b/examples/ransomware_detection/common/__init__.py
index 87f77145af..981f4d2051 100644
--- a/examples/ransomware_detection/common/__init__.py
+++ b/examples/ransomware_detection/common/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/ransomware_detection/common/data_models.py b/examples/ransomware_detection/common/data_models.py
index ccde14de94..d163bdbf6a 100644
--- a/examples/ransomware_detection/common/data_models.py
+++ b/examples/ransomware_detection/common/data_models.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -29,7 +29,7 @@ class FeatureConfig:
 
 
 @dataclasses.dataclass
-class SnapshotData(object):
+class SnapshotData:
     """
     This dataclass holds appshield snapshot data.
     """
diff --git a/examples/ransomware_detection/common/feature_constants.py b/examples/ransomware_detection/common/feature_constants.py
index 8c9cf04dc0..8bffbf83ad 100644
--- a/examples/ransomware_detection/common/feature_constants.py
+++ b/examples/ransomware_detection/common/feature_constants.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/ransomware_detection/common/feature_extractor.py b/examples/ransomware_detection/common/feature_extractor.py
index 5870021059..94e9ea1d82 100644
--- a/examples/ransomware_detection/common/feature_extractor.py
+++ b/examples/ransomware_detection/common/feature_extractor.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/ransomware_detection/config/ransomware_detection.yaml b/examples/ransomware_detection/config/ransomware_detection.yaml
index 882c75baa7..02b9a8f777 100644
--- a/examples/ransomware_detection/config/ransomware_detection.yaml
+++ b/examples/ransomware_detection/config/ransomware_detection.yaml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/ransomware_detection/run.py b/examples/ransomware_detection/run.py
index 8950a7ee47..58296bd2ae 100644
--- a/examples/ransomware_detection/run.py
+++ b/examples/ransomware_detection/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/ransomware_detection/stages/__init__.py b/examples/ransomware_detection/stages/__init__.py
index 87f77145af..981f4d2051 100644
--- a/examples/ransomware_detection/stages/__init__.py
+++ b/examples/ransomware_detection/stages/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/ransomware_detection/stages/create_features.py b/examples/ransomware_detection/stages/create_features.py
index b7ab721e01..03a4f61a04 100644
--- a/examples/ransomware_detection/stages/create_features.py
+++ b/examples/ransomware_detection/stages/create_features.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/ransomware_detection/stages/preprocessing.py b/examples/ransomware_detection/stages/preprocessing.py
index 80f2df924e..5c6afd3b87 100644
--- a/examples/ransomware_detection/stages/preprocessing.py
+++ b/examples/ransomware_detection/stages/preprocessing.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/examples/root_cause_analysis/README.md b/examples/root_cause_analysis/README.md
index b677ac222b..2efd63c0ed 100644
--- a/examples/root_cause_analysis/README.md
+++ b/examples/root_cause_analysis/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/sid_visualization/README.md b/examples/sid_visualization/README.md
index 3ec88933f2..495108a733 100644
--- a/examples/sid_visualization/README.md
+++ b/examples/sid_visualization/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/sid_visualization/docker-compose.yml b/examples/sid_visualization/docker-compose.yml
index 5e496d7340..e6fa768964 100644
--- a/examples/sid_visualization/docker-compose.yml
+++ b/examples/sid_visualization/docker-compose.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/examples/sid_visualization/run.py b/examples/sid_visualization/run.py
index 2a64dfbd20..29b78198f9 100644
--- a/examples/sid_visualization/run.py
+++ b/examples/sid_visualization/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/external/morpheus-visualizations b/external/morpheus-visualizations
index 3f2b340cea..f0a9633ec1 160000
--- a/external/morpheus-visualizations
+++ b/external/morpheus-visualizations
@@ -1 +1 @@
-Subproject commit 3f2b340ceae9b2eaddaa4be6db47cab74271a8f9
+Subproject commit f0a9633ec18c598263ad563e73546570051ff535
diff --git a/external/utilities b/external/utilities
index 2c26582577..6c9233a52a 160000
--- a/external/utilities
+++ b/external/utilities
@@ -1 +1 @@
-Subproject commit 2c26582577de9c9101f7e7c1bda3d7cc90344fb3
+Subproject commit 6c9233a52a0f3e5dfa82a9d9397477b31a63b92e
diff --git a/models/README.md b/models/README.md
index e5a744f1b2..87be631170 100644
--- a/models/README.md
+++ b/models/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/data/splunk_notable_regex.yaml b/models/data/splunk_notable_regex.yaml
index 5917dfd297..a7a18db84f 100644
--- a/models/data/splunk_notable_regex.yaml
+++ b/models/data/splunk_notable_regex.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/models/data/windows_event_regex.yaml b/models/data/windows_event_regex.yaml
index 2dd879102f..26efaee382 100644
--- a/models/data/windows_event_regex.yaml
+++ b/models/data/windows_event_regex.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/models/datasets/README.md b/models/datasets/README.md
index 77bc5d1ad8..5e5f6930a0 100644
--- a/models/datasets/README.md
+++ b/models/datasets/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/mlflow/README.md b/models/mlflow/README.md
index faa277be1a..2ab2f6af3d 100644
--- a/models/mlflow/README.md
+++ b/models/mlflow/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/mlflow/docker/Dockerfile b/models/mlflow/docker/Dockerfile
index c30b009310..c6e9f41e2b 100644
--- a/models/mlflow/docker/Dockerfile
+++ b/models/mlflow/docker/Dockerfile
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,7 +15,7 @@
 
 ARG FROM_IMAGE="condaforge/miniforge-pypy3"
 ARG PYTHON_VER=3.11
-ARG TAG=23.1.0-1
+ARG TAG=23.11.0-0
 FROM ${FROM_IMAGE}:${TAG} AS base
 
 WORKDIR /mlflow
@@ -44,7 +44,7 @@ RUN sed -i 's/conda activate base/conda activate mlflow/g' ~/.bashrc
 SHELL ["/opt/conda/bin/conda", "run", "-n", "mlflow", "/bin/bash", "-c"]
 
 ARG TRITON_DIR=/mlflow/triton-inference-server
-ARG TRITON_VER=r23.05
+ARG TRITON_VER=r24.01
 
 RUN mkdir ${TRITON_DIR} && \
     cd ${TRITON_DIR} && \
diff --git a/models/mlflow/docker/conda/mlflow-env.yml b/models/mlflow/docker/conda/mlflow-env.yml
index 9c2acc0b38..fcc99c975a 100644
--- a/models/mlflow/docker/conda/mlflow-env.yml
+++ b/models/mlflow/docker/conda/mlflow-env.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/mlflow/docker/entrypoint.sh b/models/mlflow/docker/entrypoint.sh
index 6daef1a365..af1522d7f6 100755
--- a/models/mlflow/docker/entrypoint.sh
+++ b/models/mlflow/docker/entrypoint.sh
@@ -1,5 +1,5 @@
 #!/bin/bash --login
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/model-cards/abp-model-card.md b/models/model-cards/abp-model-card.md
index e285203e27..5cea31047b 100644
--- a/models/model-cards/abp-model-card.md
+++ b/models/model-cards/abp-model-card.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,7 +22,7 @@ limitations under the License.
 
 ## Description:
 
-* This model is an example of a binary XGBoost classifier to differentiate between anomalous GPU behavior, such as crypto mining / GPU malware, and non-anomalous GPU-based workflows (e.g., ML/DL training). The model is an XGBoost model. <br>
+* This model is an example of a binary XGBoost classifier to differentiate between anomalous GPU behavior, such as crypto mining / GPU malware, and non-anomalous GPU-based workflows (e.g., ML/DL training). This model is for demonstration purposes and not for production usage. <br>
 
 ## References(s):
 
@@ -88,7 +88,7 @@ limitations under the License.
 
 **Link:** 
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/abp-sample-nvsmi-training-data.json  <br>
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/abp-sample-nvsmi-training-data.json  <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):** 
 
@@ -98,7 +98,7 @@ limitations under the License.
 
 **Link:** 
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/validation-data/abp-validation-data.jsonlines  <br>
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/abp-validation-data.jsonlines  <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):** 
 
@@ -112,52 +112,15 @@ limitations under the License.
 
 **Test Hardware:** <br>
 
-* Other <br>
+* DGX (V100) <br>
+
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.  For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards below.  Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 
 # Subcards
 
 ## Model Card ++ Bias Subcard
 
-### What is the gender balance of the model validation data?  
-
-* Not Applicable
-
-### What is the racial/ethnicity balance of the model validation data?
-
-* Not Applicable
-
-### What is the age balance of the model validation data?
-
-* Not Applicable
-
-### What is the language balance of the model validation data?
-
-* Not Applicable
-
-### What is the geographic origin language balance of the model validation data?
-
-* Not Applicable
-
-### What is the educational background balance of the model validation data?
-
-* Not Applicable
-
-### What is the accent balance of the model validation data?
-
-* Not Applicable
-
-### What is the face/key point balance of the model validation data? 
-
-* Not Applicable
-
-### What is the skin/tone balance of the model validation data?
-
-* Not Applicable
-
-### What is the religion balance of the model validation data?
-
-* Not Applicable
-
 ### Individuals from the following adversely impacted (protected classes) groups participate in model design and testing.
 
 * Not Applicable
@@ -196,7 +159,10 @@ limitations under the License.
 
 * For different GPU workloads different models need to be trained.
 
+### Has this been verified to have met prescribed NVIDIA standards?
 
+* Yes
+  
 ### What performance metrics were used to affirm the model's performance?
 
 * Accuracy
@@ -214,13 +180,13 @@ limitations under the License.
 
 ### Link the location of the training dataset's repository.
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/abp-sample-nvsmi-training-data.json
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/abp-sample-nvsmi-training-data.json
 
 ### Is the model used in an application with physical safety impact?
 
 * No
 
-### Describe physical safety impact (if present).
+### Describe life-critical impact (if present).
 
 * N/A
 
@@ -236,10 +202,6 @@ limitations under the License.
 
 * The model's use case is restricted to testing the Morpheus pipeline and may not be suitable for other applications.
 
-### Has this been verified to have met prescribed quality standards?
-
-* No
-
 ### Name target quality Key Performance Indicators (KPIs) for which this has been tested. 
 
 * N/A
@@ -265,7 +227,7 @@ limitations under the License.
 
 ### Generatable or reverse engineerable personally-identifiable information (PII)?
 
-* Neither
+* None
 
 ### Was consent obtained for any PII used?
 
diff --git a/models/model-cards/dfp-model-card.md b/models/model-cards/dfp-model-card.md
index fd8d0758cd..1f2adf9dcf 100644
--- a/models/model-cards/dfp-model-card.md
+++ b/models/model-cards/dfp-model-card.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -64,36 +64,36 @@ The model architecture consists of an Autoencoder, where the reconstruction loss
 * Linux<br>
 
 ## Model Version(s):
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/dfp-models/hammah-role-g-20211017-dill.pkl
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/dfp-models/hammah-user123-20211017-dill.pkl
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/dfp-models/hammah-role-g-20211017-dill.pkl
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/dfp-models/hammah-user123-20211017-dill.pkl
 
 # Training & Evaluation:
 
 ## Training Dataset:
 
 **Link:**
-* https://github.com/nv-morpheus/Morpheus/tree/branch-23.11/models/datasets/training-data/cloudtrail
+* https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/models/datasets/training-data/cloudtrail
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):**
 
 The training dataset consists of AWS CloudTrail logs. It contains logs from two entities, providing information about their activities within the AWS environment.
-* [hammah-role-g-training-part1.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/cloudtrail/hammah-role-g-training-part1.json): 700 records <br>
-* [hammah-role-g-training-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/cloudtrail/hammah-role-g-training-part2.json): 1187 records <br>
-* [hammah-user123-training-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/cloudtrail/hammah-user123-training-part2.json): 1000 records <br>
-* [hammah-user123-training-part3.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/cloudtrail/hammah-user123-training-part3.json): 1000 records <br>
-* [hammah-user123-training-part4.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/cloudtrail/hammah-user123-training-part4.json): 387 records <br>
+* [hammah-role-g-training-part1.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-role-g-training-part1.json): 700 records <br>
+* [hammah-role-g-training-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-role-g-training-part2.json): 1187 records <br>
+* [hammah-user123-training-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-user123-training-part2.json): 1000 records <br>
+* [hammah-user123-training-part3.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-user123-training-part3.json): 1000 records <br>
+* [hammah-user123-training-part4.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-user123-training-part4.json): 387 records <br>
 
 ## Evaluation Dataset:
 **Link:**
-* https://github.com/nv-morpheus/Morpheus/tree/branch-23.11/models/datasets/validation-data/cloudtrail <br>
+* https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/models/datasets/validation-data/cloudtrail <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):**
 
 The evaluation dataset consists of AWS CloudTrail logs. It contains logs from two entities, providing information about their activities within the AWS environment.
-* [hammah-role-g-validation.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/validation-data/cloudtrail/hammah-role-g-validation.json): 314 records
-* [hammah-user123-validation-part1.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part1.json): 300 records
-* [hammah-user123-validation-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part2.json): 300 records
-* [hammah-user123-validation-part3.json](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part3.json): 247 records
+* [hammah-role-g-validation.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/cloudtrail/hammah-role-g-validation.json): 314 records
+* [hammah-user123-validation-part1.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part1.json): 300 records
+* [hammah-user123-validation-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part2.json): 300 records
+* [hammah-user123-validation-part3.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part3.json): 247 records
 
 ## Inference:
 **Engine:**
@@ -159,7 +159,7 @@ The evaluation dataset consists of AWS CloudTrail logs. It contains logs from tw
 
 ### List the steps explaining how this model works.
 * The model works by training on baseline behaviors and subsequently detecting deviations from the established baseline, triggering alerts accordingly.
-* [Training notebook](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/training-tuning-scripts/dfp-models/hammah-20211017.ipynb)
+* [Training notebook](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/training-tuning-scripts/dfp-models/hammah-20211017.ipynb)
 
 ### Name the adversely impacted groups (protected classes) this has been tested to deliver comparable outcomes regardless of:
 * Not Applicable
@@ -179,7 +179,7 @@ The evaluation dataset consists of AWS CloudTrail logs. It contains logs from tw
 ## Model Card ++ Saftey & Security Subcard
 
 ### Link the location of the training dataset's repository (if able to share).
-* https://github.com/nv-morpheus/Morpheus/tree/branch-23.11/models/datasets/training-data/cloudtrail
+* https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/models/datasets/training-data/cloudtrail
 
 ### Is the model used in an application with physical safety impact?
 * No
@@ -240,7 +240,7 @@ The evaluation dataset consists of AWS CloudTrail logs. It contains logs from tw
 * No
 
 ### Are we able to identify and trace source of dataset?
-* Yes ([fully synthetic dataset](https://github.com/nv-morpheus/Morpheus/tree/branch-23.11/models/datasets/training-data/cloudtrail))
+* Yes ([fully synthetic dataset](https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/models/datasets/training-data/cloudtrail))
 
 ### Does data labeling (annotation, metadata) comply with privacy laws?
 * Not applicable (as the dataset is fully synthetic)
diff --git a/models/model-cards/gnn-fsi-model-card.md b/models/model-cards/gnn-fsi-model-card.md
index 34115bf86a..36c7348a6f 100644
--- a/models/model-cards/gnn-fsi-model-card.md
+++ b/models/model-cards/gnn-fsi-model-card.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,7 +18,7 @@ limitations under the License.
 # Model Overview
 
 ### Description:
-* This model shows an application of a graph neural network for fraud detection in a credit card transaction graph. A transaction dataset that includes three types of nodes, transaction, client, and merchant nodes is used for modeling. A combination of `GraphSAGE` along `XGBoost` is used to identify frauds in the transaction networks. <br>
+* This model shows an application of a graph neural network for fraud detection in a credit card transaction graph. A transaction dataset that includes three types of nodes, transaction, client, and merchant nodes is used for modeling. A combination of `GraphSAGE` along `XGBoost` is used to identify frauds in the transaction networks.  This model is for demonstration purposes and not for production usage. <br>
 
 ## References(s):
 1. https://stellargraph.readthedocs.io/en/stable/hinsage.html?highlight=hinsage
@@ -93,30 +93,15 @@ This model is an example of a fraud detection pipeline using a graph neural netw
 * Triton <br>
 
 **Test Hardware:** <br>
-* Other   <br>
+* DGX (V100) <br>
+
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.  For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards below.  Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 
 # Subcards
 ## Model Card ++ Bias Subcard
 
-### What is the gender balance of the model validation data?  
-* Not Applicable
-
-### What is the racial/ethnicity balance of the model validation data?
-* Not Applicable
-
-### What is the age balance of the model validation data?
-* Not Applicable
-
-### What is the language balance of the model validation data?
-* Not Applicable
-
-### What is the geographic origin language balance of the model validation data?
-* Not Applicable
-
-### What is the educational background balance of the model validation data?
-* Not Applicable
-
-### What is the accent balance of the model validation data?
+### Individuals from the following adversely impacted (protected classes) groups participate in model design and testing.
 * Not Applicable
 
 ### Describe measures taken to mitigate against unwanted bias.
@@ -145,6 +130,10 @@ This model is an example of a fraud detection pipeline using a graph neural netw
 ### List the technical limitations of the model.
 * This model version requires a transactional data schema with entities (user, merchant, transaction) as requirement for the model.
 
+### Has this been verified to have met prescribed NVIDIA standards?
+
+* Yes
+
 ### What performance metrics were used to affirm the model's performance?
 * Area under ROC curve and Accuracy
 
@@ -152,7 +141,7 @@ This model is an example of a fraud detection pipeline using a graph neural netw
 * None
 
 ### Link the relevant end user license agreement 
-* [Apache 2.0](https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/LICENSE)
+* [Apache 2.0](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/LICENSE)
 
 ## Model Card ++ Saftey & Security Subcard
 
@@ -162,7 +151,7 @@ This model is an example of a fraud detection pipeline using a graph neural netw
 ### Is the model used in an application with physical safety impact?
 * No
 
-### Describe physical safety impact (if present).
+### Describe life-critical impact (if present).
 * Not Applicable
 
 ### Was model and dataset assessed for vulnerability for potential form of attack?
@@ -174,9 +163,6 @@ This model is an example of a fraud detection pipeline using a graph neural netw
 ### Name use case restrictions for the model.
 * The model's use case is restricted to testing the Morpheus pipeline and may not be suitable for other applications.
 
-### Has this been verified to have met prescribed quality standards?
-* No
-
 ### Name target quality Key Performance Indicators (KPIs) for which this has been tested.  
 * Not Applicable
 
@@ -195,14 +181,14 @@ This model is an example of a fraud detection pipeline using a graph neural netw
 ## Model Card ++ Privacy Subcard
 
 ### Generatable or reverse engineerable personally-identifiable information (PII)?
-* Neither
-
-### Was consent obtained for any PII used?
-* Not Applicable (Data is extracted from synthetically created credit card transaction,refer[3] for the source of data creation)
+* None
 
 ### Protected classes used to create this model? (The following were used in model the model's training:)
 * Not applicable
 
+### Was consent obtained for any PII used?
+* Not Applicable (Data is extracted from synthetically created credit card transaction,refer[3] for the source of data creation)
+
 ### How often is dataset reviewed?
 * The dataset is initially reviewed upon addition, and subsequent reviews are conducted as needed or upon request for any changes.
 
@@ -222,4 +208,4 @@ This model is an example of a fraud detection pipeline using a graph neural netw
 * Not applicable
 
 ### Is data compliant with data subject requests for data correction or removal, if such a request was made?
-* Not applicable
\ No newline at end of file
+* Not applicable
diff --git a/models/model-cards/phishing-model-card.md b/models/model-cards/phishing-model-card.md
index 2a81460e9f..093a6fc6d1 100644
--- a/models/model-cards/phishing-model-card.md
+++ b/models/model-cards/phishing-model-card.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,7 +21,7 @@ limitations under the License.
 # Model Overview
 
 ## Description:
-* Phishing detection is a binary classifier differentiating between phishing/spam and benign emails and SMS messages. <br>
+* Phishing detection is a binary classifier differentiating between phishing/spam and benign emails and SMS messages.  This model is for demonstration purposes and not for production usage. <br>
 
 ## References(s):
 * https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection <br>
@@ -100,7 +100,7 @@ limitations under the License.
 
 **Link:** 
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/validation-data/phishing-email-validation-data.jsonlines  <br>
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/phishing-email-validation-data.jsonlines  <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):** 
 
@@ -114,24 +114,15 @@ limitations under the License.
 
 **Test Hardware:** <br>
 
-* Other  <br>
+* DGX (V100) <br>
+
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.  For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards below.  Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 
 # Subcards
 
 ## Model Card ++ Bias Subcard
 
-### What is the gender balance of the model validation data?  
-
-* Not Applicable
-
-### What is the racial/ethnicity balance of the model validation data?
-
-* Not Applicable
-
-### What is the age balance of the model validation data?
-
-* Not Applicable
-
 ### What is the language balance of the model validation data?
 
 * English
@@ -140,26 +131,6 @@ limitations under the License.
 
 * UK
 
-### What is the educational background balance of the model validation data?
-
-* Not Applicable
-
-### What is the accent balance of the model validation data?
-
-* Not Applicable
-
-### What is the face/key point balance of the model validation data? 
-
-* Not Applicable
-
-### What is the skin/tone balance of the model validation data?
-
-* Not Applicable
-
-### What is the religion balance of the model validation data?
-
-* Not Applicable
-
 ### Individuals from the following adversely impacted (protected classes) groups participate in model design and testing.
 
 * Not Applicable
@@ -193,6 +164,10 @@ limitations under the License.
 ### List the technical limitations of the model. 
 * For different email/SMS types and content, different models need to be trained.
 
+### Has this been verified to have met prescribed NVIDIA standards?
+
+* Yes
+
 ### What performance metrics were used to affirm the model's performance?
 * F1
 
@@ -210,7 +185,7 @@ limitations under the License.
 ### Is the model used in an application with physical safety impact?
 * No
 
-### Describe physical safety impact (if present).
+### Describe life-critical impact (if present).
 * None
 
 ### Was model and dataset assessed for vulnerability for potential form of attack?
@@ -223,9 +198,6 @@ limitations under the License.
 ### Name use case restrictions for the model.
 * This pretrained model's use case is restricted to testing the Morpheus pipeline and may not be suitable for other applications.
 
-### Has this been verified to have met prescribed quality standards?
-* No
-
 ### Name target quality Key Performance Indicators (KPIs) for which this has been tested.  
 * N/A
 
@@ -246,12 +218,12 @@ limitations under the License.
 
 
 ### Generatable or reverse engineerable personally-identifiable information (PII)?
-* Neither
+* None
 
-### Was consent obtained for any PII used?
+### Protected classes used to create this model? (The following were used in model the model's training:)
 * N/A
 
-### Protected classes used to create this model? (The following were used in model the model's training:)
+### Was consent obtained for any PII used?
 * N/A
 
 ### How often is dataset reviewed?
diff --git a/models/model-cards/root-cause-analysis-model-card.md b/models/model-cards/root-cause-analysis-model-card.md
index acbe4db6c2..8ec4f9a103 100644
--- a/models/model-cards/root-cause-analysis-model-card.md
+++ b/models/model-cards/root-cause-analysis-model-card.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -89,7 +89,7 @@ limitations under the License.
 
 **Link:** 
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/root-cause-training-data.csv <br>
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/root-cause-training-data.csv <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):** 
 
@@ -99,7 +99,7 @@ limitations under the License.
 
 **Link:** 
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/validation-data/root-cause-validation-data-input.jsonlines  <br>
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/root-cause-validation-data-input.jsonlines  <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):** 
 
@@ -193,7 +193,7 @@ limitations under the License.
 ## Model Card ++ Saftey & Security Subcard
 
 ### Link the location of the training dataset's repository.
-* https://github.com/nv-morpheus/Morpheus/blob/branch-23.11/models/datasets/training-data/root-cause-training-data.csv
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/root-cause-training-data.csv
 
 ### Is the model used in an application with physical safety impact?
 * No
diff --git a/models/training-tuning-scripts/abp-models/abp_nvsmi_xgb_training.py b/models/training-tuning-scripts/abp-models/abp_nvsmi_xgb_training.py
index ecfca54447..0f670461a2 100644
--- a/models/training-tuning-scripts/abp-models/abp_nvsmi_xgb_training.py
+++ b/models/training-tuning-scripts/abp-models/abp_nvsmi_xgb_training.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -100,10 +100,10 @@ def save_model(model):
 #     print("Validation_score: ", acc)
 
 
-def main():
+def main(trainingdata):
     print('Preprocessing...')
     (x_train, x_test, y_train, y_test) = \
-        train_val_split(preprocess(args.trainingdata))
+        train_val_split(preprocess(trainingdata))
     print('Model Training...')
     model = train(x_train, x_test, y_train, y_test)
     print('Saving Model')
@@ -118,4 +118,4 @@ def main():
     parser.add_argument('--trainingdata', required=True, help='Labelled data in JSON format')
     args = parser.parse_args()
 
-    main()
+    main(args.trainingdata)
diff --git a/models/training-tuning-scripts/common/__init__.py b/models/training-tuning-scripts/common/__init__.py
index 05a92dae45..0bd857bfcb 100644
--- a/models/training-tuning-scripts/common/__init__.py
+++ b/models/training-tuning-scripts/common/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/models/training-tuning-scripts/common/dataloader.py b/models/training-tuning-scripts/common/dataloader.py
index 69e12d3e5e..ed4223fd9f 100644
--- a/models/training-tuning-scripts/common/dataloader.py
+++ b/models/training-tuning-scripts/common/dataloader.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/models/training-tuning-scripts/common/dataset.py b/models/training-tuning-scripts/common/dataset.py
index 807aae49bc..9034f35782 100644
--- a/models/training-tuning-scripts/common/dataset.py
+++ b/models/training-tuning-scripts/common/dataset.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/models/training-tuning-scripts/common/sequence_classifier.py b/models/training-tuning-scripts/common/sequence_classifier.py
index 5b01fe334c..1fe47f4b5c 100644
--- a/models/training-tuning-scripts/common/sequence_classifier.py
+++ b/models/training-tuning-scripts/common/sequence_classifier.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,16 +15,16 @@
 
 import logging
 
-import cudf
-from cudf.core.subword_tokenizer import SubwordTokenizer
 import cupy
-
 import torch
 from torch.optim import AdamW
 from torch.utils.dlpack import to_dlpack
 from tqdm import trange
 from transformers import AutoModelForSequenceClassification
 
+import cudf
+from cudf.core.subword_tokenizer import SubwordTokenizer
+
 from .dataloader import DataLoader
 from .dataset import Dataset
 
diff --git a/models/training-tuning-scripts/dfp-models/hammah-20211017-script.py b/models/training-tuning-scripts/dfp-models/hammah-20211017-script.py
index 8e77ce04d2..7a32ac5156 100644
--- a/models/training-tuning-scripts/dfp-models/hammah-20211017-script.py
+++ b/models/training-tuning-scripts/dfp-models/hammah-20211017-script.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -30,7 +30,7 @@
 from morpheus.utils.seed import manual_seed
 
 
-def main():
+def main(args):
     x_train = pd.read_csv(args.trainingdata)
     x_val = pd.read_csv(args.valdata)
 
@@ -114,6 +114,5 @@ def main():
     parser = argparse.ArgumentParser(description=__doc__)
     parser.add_argument("--trainingdata", required=True, help="CloudTrail CSV")
     parser.add_argument("--valdata", required=True, help="CloudTrail CSV")
-    args = parser.parse_args()
 
-    main()
+    main(parser.parse_args())
diff --git a/models/training-tuning-scripts/fraud-detection-models/README.md b/models/training-tuning-scripts/fraud-detection-models/README.md
index 8039c07f0c..14e4b32084 100644
--- a/models/training-tuning-scripts/fraud-detection-models/README.md
+++ b/models/training-tuning-scripts/fraud-detection-models/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,11 +24,9 @@ limitations under the License.
 Install packages for training GNN model.
 
 ```bash
-export CUDA_VER=11.8
-mamba install -n base -c conda-forge conda-merge
-conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml \
-  models/training-tuning-scripts/fraud-detection-models/requirements.yml > .tmp/merged.yml \
-  && mamba env update -n ${CONDA_DEFAULT_ENV} --file .tmp/merged.yml
+mamba env update \
+  -n ${CONDA_DEFAULT_ENV} \
+  --file ./conda/environments/model-utils-121_arch-x86_64.yaml
 ```
 
 ### Options for training and tuning models.
diff --git a/models/training-tuning-scripts/fraud-detection-models/gnn-fraud-detection-training.ipynb b/models/training-tuning-scripts/fraud-detection-models/gnn-fraud-detection-training.ipynb
index d66234974d..7decd59636 100644
--- a/models/training-tuning-scripts/fraud-detection-models/gnn-fraud-detection-training.ipynb
+++ b/models/training-tuning-scripts/fraud-detection-models/gnn-fraud-detection-training.ipynb
@@ -50,16 +50,16 @@
    "source": [
     "%load_ext autoreload\n",
     "%autoreload 2\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
     "import os\n",
+    "\n",
     "import dgl\n",
+    "import matplotlib.pylab as plt\n",
     "import numpy as np\n",
-    "import pandas as pd\n",
     "import torch\n",
     "import torch.nn as nn\n",
     "from model import HeteroRGCN\n",
     "from model import HinSAGE\n",
+    "from model import prepare_data\n",
     "from sklearn.metrics import accuracy_score\n",
     "from sklearn.metrics import auc\n",
     "from sklearn.metrics import average_precision_score\n",
@@ -68,9 +68,15 @@
     "from sklearn.metrics import roc_curve\n",
     "from torchmetrics.functional import accuracy\n",
     "from tqdm import trange\n",
+    "from training import build_fsi_graph\n",
+    "from training import evaluate\n",
+    "from training import get_metrics\n",
+    "from training import init_loaders\n",
+    "from training import save_model\n",
+    "from training import train\n",
     "from xgboost import XGBClassifier\n",
-    "from training import (get_metrics, evaluate, init_loaders, build_fsi_graph,\n",
-    "                     map_node_id, prepare_data, save_model, train)\n"
+    "\n",
+    "import cudf"
    ]
   },
   {
@@ -85,26 +91,6 @@
     "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "device(type='cuda', index=0)"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#device "
-   ]
-  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -122,8 +108,8 @@
     "# Replace training-data.csv and validation-data.csv with training & validation csv in dataset file.\n",
     "TRAINING_DATA ='../../datasets/training-data/fraud-detection-training-data.csv'\n",
     "VALIDATION_DATA = '../../datasets/validation-data/fraud-detection-validation-data.csv'\n",
-    "train_data = pd.read_csv(TRAINING_DATA)\n",
-    "inductive_data = pd.read_csv(VALIDATION_DATA)"
+    "train_data = cudf.read_csv(TRAINING_DATA)\n",
+    "inductive_data = cudf.read_csv(VALIDATION_DATA)"
    ]
   },
   {
@@ -141,16 +127,15 @@
    "outputs": [],
    "source": [
     "# Increase number of samples.\n",
-    "def augement_data(train_data=train_data, n=20):\n",
-    "    max_id = inductive_data.index.max()\n",
+    "def augment_data(train_data=train_data, n=20):\n",
+    "    train_data.drop(columns=['index'], inplace=True, axis=1)\n",
     "    non_fraud = train_data[train_data['fraud_label'] == 0]\n",
-    "    \n",
-    "    non_fraud = non_fraud.drop(['index'], axis=1)\n",
-    "    df_fraud = pd.concat([non_fraud for i in range(n)])\n",
-    "    df_fraud.index = np.arange(1076, 1076 + df_fraud.shape[0])\n",
-    "    df_fraud['index'] = df_fraud.index\n",
-    "    \n",
-    "    return pd.concat((train_data, df_fraud))"
+    "    df_fraud = cudf.concat([non_fraud for _ in range(n)])\n",
+    "    df_train = cudf.concat([train_data, df_fraud])\n",
+    "    df_train.reset_index(inplace=True)\n",
+    "    df_train['index'] = df_train.index\n",
+    "\n",
+    "    return df_train"
    ]
   },
   {
@@ -159,7 +144,19 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "train_data = augement_data(train_data, n=20)"
+    "train_data = augment_data(train_data, n=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# re-arange test data index\n",
+    "last_train_index = train_data.index.max()+1\n",
+    "inductive_data.index = np.arange(last_train_index, last_train_index + inductive_data.shape[0])\n",
+    "inductive_data['index'] = inductive_data.index"
    ]
   },
   {
@@ -173,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -183,11 +180,11 @@
       "The distribution of fraud for the train data is:\n",
       " 0    11865\n",
       "1      188\n",
-      "Name: fraud_label, dtype: int64\n",
+      "Name: fraud_label, dtype: int32\n",
       "The distribution of fraud for the inductive data is:\n",
       " 0    244\n",
       "1     21\n",
-      "Name: fraud_label, dtype: int64\n"
+      "Name: fraud_label, dtype: int32\n"
      ]
     }
    ],
@@ -196,38 +193,13 @@
     "print('The distribution of fraud for the inductive data is:\\n', inductive_data['fraud_label'].value_counts())"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# split train, test and create nodes index\n",
-    "def prepare_data(df_train, df_test):\n",
-    "    \n",
-    "    train_idx_ = df_train.shape[0]\n",
-    "    df = pd.concat([df_train, df_test], axis=0)\n",
-    "    df['tran_id'] = df['index']\n",
-    "\n",
-    "    meta_cols = ['tran_id', 'client_node', 'merchant_node']\n",
-    "    for col in meta_cols:\n",
-    "        map_node_id(df, col)\n",
-    "\n",
-    "    train_idx = df['tran_id'][:train_idx_]\n",
-    "    test_idx = df['tran_id'][train_idx_:]\n",
-    "\n",
-    "    df['index'] = df['tran_id']\n",
-    "    df.index = df['index']\n",
-    "\n",
-    "    return (df.iloc[train_idx, :], df.iloc[test_idx, :], train_idx, test_idx, df['fraud_label'].values, df)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Split into training, testing datasets\n",
     "train_data, test_data, train_idx, inductive_idx, labels, df = prepare_data(train_data, inductive_data)"
    ]
   },
@@ -236,7 +208,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### 3. Construct transasction graph network"
+    "### 3. Construct transaction graph network"
    ]
   },
   {
@@ -253,45 +225,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "meta_cols = [\"client_node\", \"merchant_node\", \"fraud_label\", \"index\", \"tran_id\"]\n",
+    "meta_cols = [\"client_node\", \"merchant_node\", \"index\"]\n",
     "\n",
     "# Build graph\n",
     "whole_graph, feature_tensors = build_fsi_graph(df, meta_cols)\n",
     "train_graph, _ = build_fsi_graph(train_data, meta_cols)\n",
-    "whole_graph = whole_graph.to(device)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Dataset to tensors\n",
-    "feature_tensors = feature_tensors.to(device)\n",
-    "train_idx = torch.from_numpy(train_idx.values).to(device)\n",
-    "inductive_idx = torch.from_numpy(inductive_idx.values).to(device)\n",
-    "labels = torch.LongTensor(labels).to(device)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Graph(num_nodes={'client': 623, 'merchant': 388, 'transaction': 12053},\n",
-      "      num_edges={('client', 'buy', 'transaction'): 12053, ('merchant', 'sell', 'transaction'): 12053, ('transaction', 'bought', 'client'): 12053, ('transaction', 'issued', 'merchant'): 12053},\n",
-      "      metagraph=[('client', 'transaction', 'buy'), ('transaction', 'client', 'bought'), ('transaction', 'merchant', 'issued'), ('merchant', 'transaction', 'sell')])\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Show structure of training graph.\n",
-    "print(train_graph)"
+    "\n",
+    "# Dataset\n",
+    "feature_tensors = feature_tensors.float()\n",
+    "train_idx = torch.from_dlpack(train_idx.values.toDlpack()).long()\n",
+    "inductive_idx = torch.from_dlpack(inductive_idx.values.toDlpack()).long()\n",
+    "labels = torch.from_dlpack(labels.toDlpack()).long()"
    ]
   },
   {
@@ -312,31 +256,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Hyperparameters\n",
     "target_node = \"transaction\"\n",
-    "epochs = 20\n",
+    "epochs = 25\n",
     "in_size, hidden_size, out_size, n_layers,\\\n",
     "    embedding_size = 111, 64, 2, 2, 1\n",
-    "batch_size = 100\n",
-    "hyperparameters = {\"in_size\": in_size, \"hidden_size\": hidden_size,\n",
-    "                   \"out_size\": out_size, \"n_layers\": n_layers,\n",
-    "                   \"embedding_size\": embedding_size,\n",
-    "                   \"target_node\": target_node,\n",
-    "                   \"epoch\": epochs}\n",
-    "\n",
+    "batch_size = 256\n",
+    "in_size, hidden_size, out_size, n_layers, embedding_size = 111, 64, 2, 2, 1\n",
+    "hyperparameters = {\n",
+    "    \"in_size\": in_size,\n",
+    "    \"hidden_size\": hidden_size,\n",
+    "    \"out_size\": out_size,\n",
+    "    \"n_layers\": n_layers,\n",
+    "    \"embedding_size\": embedding_size,\n",
+    "    \"target_node\": target_node,\n",
+    "    \"epoch\": epochs\n",
+    "}\n",
     "\n",
-    "scale_pos_weight = train_data['fraud_label'].sum() / train_data.shape[0]\n",
-    "scale_pos_weight = torch.tensor(\n",
-    "    [scale_pos_weight, 1-scale_pos_weight]).to(device)"
+    "scale_pos_weight = (labels[train_idx].sum() / train_data.shape[0]).item()\n",
+    "scale_pos_weight = torch.FloatTensor([scale_pos_weight, 1 - scale_pos_weight]).to(device)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -345,7 +292,6 @@
     "    device), train_idx, test_idx=inductive_idx,\n",
     "    val_idx=inductive_idx, g_test=whole_graph, batch_size=batch_size)\n",
     "\n",
-    "\n",
     "# Set model variables\n",
     "model = HinSAGE(train_graph, in_size, hidden_size, out_size, n_layers, embedding_size).to(device)\n",
     "optimizer = torch.optim.Adam(model.parameters(), lr=0.01, weight_decay=5e-4)\n",
@@ -354,314 +300,384 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "  0%|          | 0/20 [00:00<?, ?it/s]"
+      "  0%|          | 0/25 [00:00<?, ?it/s]/home/efajardo/miniconda3/envs/morpheus/lib/python3.10/site-packages/dgl/backend/pytorch/tensor.py:445: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n",
+      "  assert input.numel() == input.storage().size(), (\n",
+      "  4%|▍         | 1/25 [00:01<00:31,  1.30s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0/25 | Train Accuracy: 1.0 | Train Loss: 7.589520640056491\n",
+      "Validation Accuracy: 0.9207547307014465 auc 0.20833333333333334\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/25 | Train Accuracy: 1.0 | Train Loss: 118.13089790023514\n",
+      "Validation Accuracy: 0.9207547307014465 auc 0.7851288056206087\n"
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-      "Epoch 0/20 | Train Accuracy: 1.0 | Train Loss: 4.077046836914391\n",
-      "Validation Accuracy: 0.9207547307014465 auc 0.13992974238875877\n"
+      "Epoch 2/25 | Train Accuracy: 1.0 | Train Loss: 38.45385842246469\n",
+      "Validation Accuracy: 0.9132075309753418 auc 0.8367486338797815\n"
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-      "Epoch 1/20 | Train Accuracy: 1.0 | Train Loss: 110.9858230000423\n",
-      "Validation Accuracy: 0.9207547307014465 auc 0.5852849336455894\n"
+      "Epoch 3/25 | Train Accuracy: 1.0 | Train Loss: 14.068548373878002\n",
+      "Validation Accuracy: 0.9245283007621765 auc 0.8592896174863389\n"
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-      "Epoch 2/20 | Train Accuracy: 1.0 | Train Loss: 419.0077720507543\n",
-      "Validation Accuracy: 0.9207547307014465 auc 0.6083138173302107\n"
+      "Epoch 4/25 | Train Accuracy: 1.0 | Train Loss: 7.06401611212641\n",
+      "Validation Accuracy: 0.9358490705490112 auc 0.87743950039032\n"
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-      "Epoch 3/20 | Train Accuracy: 1.0 | Train Loss: 176.4732639742433\n",
-      "Validation Accuracy: 0.9169811606407166 auc 0.7976190476190476\n"
+      "Epoch 5/25 | Train Accuracy: 1.0 | Train Loss: 6.148922558873892\n",
+      "Validation Accuracy: 0.9358490705490112 auc 0.882903981264637\n"
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-      "Epoch 4/20 | Train Accuracy: 1.0 | Train Loss: 49.66766470632865\n",
-      "Validation Accuracy: 0.9245283007621765 auc 0.8080601092896175\n"
+      "Epoch 6/25 | Train Accuracy: 1.0 | Train Loss: 6.028049402870238\n",
+      "Validation Accuracy: 0.9358490705490112 auc 0.8889539422326307\n"
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-      "Validation Accuracy: 0.9283018708229065 auc 0.858216237314598\n"
+      "Epoch 7/25 | Train Accuracy: 1.0 | Train Loss: 5.655132191255689\n",
+      "Validation Accuracy: 0.9358490705490112 auc 0.8924668227946916\n"
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-      "Validation Accuracy: 0.9283018708229065 auc 0.8635831381733021\n"
+      "Epoch 8/25 | Train Accuracy: 1.0 | Train Loss: 5.50519098713994\n",
+      "Validation Accuracy: 0.9433962106704712 auc 0.8950039032006245\n"
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-      "Validation Accuracy: 0.9283018708229065 auc 0.8762685402029665\n"
+      "Epoch 9/25 | Train Accuracy: 1.0 | Train Loss: 5.286113580223173\n",
+      "Validation Accuracy: 0.9396226406097412 auc 0.8955893832943013\n"
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-      "Validation Accuracy: 0.9320755004882812 auc 0.8788056206088993\n"
+      "Epoch 10/25 | Train Accuracy: 1.0 | Train Loss: 5.151115204207599\n",
+      "Validation Accuracy: 0.9396226406097412 auc 0.9028103044496486\n"
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-      "Validation Accuracy: 0.9320755004882812 auc 0.8873926619828258\n"
+      "Epoch 11/25 | Train Accuracy: 1.0 | Train Loss: 4.6040293434634805\n",
+      "Validation Accuracy: 0.9320755004882812 auc 0.9106167056986728\n"
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-      "Validation Accuracy: 0.9358490705490112 auc 0.8791959406713505\n"
+      "Epoch 12/25 | Train Accuracy: 1.0 | Train Loss: 4.592546273488551\n",
+      "Validation Accuracy: 0.947169840335846 auc 0.9080796252927401\n"
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-      "Validation Accuracy: 0.9320755004882812 auc 0.8858313817330211\n"
+      "Epoch 13/25 | Train Accuracy: 1.0 | Train Loss: 4.154761636629701\n",
+      "Validation Accuracy: 0.9358490705490112 auc 0.9067135050741607\n"
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-      "Validation Accuracy: 0.9320755004882812 auc 0.9127634660421545\n"
+      "Epoch 14/25 | Train Accuracy: 1.0 | Train Loss: 3.5454123290255666\n",
+      "Validation Accuracy: 0.9358490705490112 auc 0.9192037470725994\n"
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-      "Validation Accuracy: 0.9433962106704712 auc 0.9182279469164715\n"
+      "Epoch 15/25 | Train Accuracy: 1.0 | Train Loss: 3.1295745647512376\n",
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-      "Validation Accuracy: 0.9320755004882812 auc 0.911592505854801\n"
+      "Epoch 16/25 | Train Accuracy: 1.0 | Train Loss: 3.140789811965078\n",
+      "Validation Accuracy: 0.9358490705490112 auc 0.9449648711943794\n"
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-      "Validation Accuracy: 0.9207547307014465 auc 0.8721701795472288\n"
+      "Epoch 17/25 | Train Accuracy: 1.0 | Train Loss: 2.7704373160377145\n",
+      "Validation Accuracy: 0.9358490705490112 auc 0.9533567525370804\n"
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-      "Validation Accuracy: 0.9169811606407166 auc 0.822599531615925\n"
+      "Epoch 18/25 | Train Accuracy: 1.0 | Train Loss: 3.2044623312540352\n",
+      "Validation Accuracy: 0.9320755004882812 auc 0.948087431693989\n"
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      "text": [
-      "Epoch 17/20 | Train Accuracy: 1.0 | Train Loss: 15.88208947563544\n",
-      "Validation Accuracy: 0.9283018708229065 auc 0.8528493364558939\n"
+      "Epoch 19/25 | Train Accuracy: 1.0 | Train Loss: 2.732395632308908\n",
+      "Validation Accuracy: 0.9433962106704712 auc 0.9510148321623731\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 95%|█████████▌| 19/20 [00:45<00:02,  2.33s/it]"
+      " 84%|████████▍ | 21/25 [00:22<00:04,  1.05s/it]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 18/20 | Train Accuracy: 1.0 | Train Loss: 12.539632054162212\n",
-      "Validation Accuracy: 0.9283018708229065 auc 0.9022248243559718\n"
+      "Epoch 20/25 | Train Accuracy: 1.0 | Train Loss: 2.5043671822641045\n",
+      "Validation Accuracy: 0.9433962106704712 auc 0.9535519125683061\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 20/20 [00:47<00:00,  2.37s/it]"
+      " 88%|████████▊ | 22/25 [00:23<00:03,  1.05s/it]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 19/20 | Train Accuracy: 1.0 | Train Loss: 13.172684742690763\n",
-      "Validation Accuracy: 0.9433962106704712 auc 0.9342310694769711\n"
+      "Epoch 21/25 | Train Accuracy: 1.0 | Train Loss: 2.1203417778451694\n",
+      "Validation Accuracy: 0.9132075309753418 auc 0.961943793911007\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " 92%|█████████▏| 23/25 [00:24<00:02,  1.06s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 22/25 | Train Accuracy: 1.0 | Train Loss: 10.550110493495595\n",
+      "Validation Accuracy: 0.9169811606407166 auc 0.8948087431693988\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " 96%|█████████▌| 24/25 [00:25<00:01,  1.06s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 23/25 | Train Accuracy: 1.0 | Train Loss: 12.623157457801426\n",
+      "Validation Accuracy: 0.9207547307014465 auc 0.9137392661982825\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 25/25 [00:26<00:00,  1.06s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 24/25 | Train Accuracy: 1.0 | Train Loss: 14.581157505754874\n",
+      "Validation Accuracy: 0.9396226406097412 auc 0.8467993754879001\n"
      ]
     },
     {
@@ -673,20 +689,19 @@
     }
    ],
    "source": [
-    "\n",
     "for epoch in trange(epochs):\n",
     "\n",
     "    train_acc, loss = train(\n",
     "        model, loss_func, train_loader, labels, optimizer, feature_tensors,\n",
-    "        target_node, device=device)\n",
+    "        target_node)\n",
     "    print(f\"Epoch {epoch}/{epochs} | Train Accuracy: {train_acc} | Train Loss: {loss}\")\n",
-    "    val_logits, val_seed, _ = evaluate(model, val_loader, feature_tensors, target_node, device=device)\n",
+    "    val_logits, val_seed, _ = evaluate(model, val_loader, feature_tensors, target_node)\n",
     "    val_accuracy = accuracy(val_logits.argmax(1), labels.long()[val_seed].cpu(), \"binary\").item()\n",
     "    val_auc = roc_auc_score(\n",
     "        labels.long()[val_seed].cpu().numpy(),\n",
     "        val_logits[:, 1].numpy(),\n",
     "    )\n",
-    "    print(f\"Validation Accuracy: {val_accuracy} auc {val_auc}\")\n"
+    "    print(f\"Validation Accuracy: {val_accuracy} auc {val_auc}\")"
    ]
   },
   {
@@ -707,7 +722,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -734,27 +749,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final Test Accuracy: 0.9320755004882812 auc 0.889344262295082\n"
+      "Final Test Accuracy: 0.9245283007621765 auc 0.8380171740827479\n"
      ]
     }
    ],
    "source": [
     "# Create embeddings\n",
-    "_, train_seeds, train_embedding = evaluate(model, train_loader, feature_tensors, target_node, device=device)\n",
-    "test_logits, test_seeds, test_embedding = evaluate(model, test_loader, feature_tensors, target_node, device=device)\n",
+    "_, train_seeds, train_embedding = evaluate(model, train_loader, feature_tensors, target_node)\n",
+    "test_logits, test_seeds, test_embedding = evaluate(model, test_loader, feature_tensors, target_node)\n",
     "\n",
     "# compute metrics\n",
     "test_acc = accuracy(test_logits.argmax(dim=1), labels.long()[test_seeds].cpu(), \"binary\").item()\n",
     "test_auc = roc_auc_score(labels.long()[test_seeds].cpu().numpy(), test_logits[:, 1].numpy())\n",
     "\n",
-    "metrics_result = pd.DataFrame()\n",
     "print(f\"Final Test Accuracy: {test_acc} auc {test_auc}\")\n",
     "\n",
     "#acc, f_1, precision, recall, roc_auc, pr_auc, average_precision, _, _ = get_metrics(\n",
@@ -781,22 +795,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from xgboost import XGBClassifier\n"
+    "from xgboost import XGBClassifier"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
        "              colsample_bylevel=None, colsample_bynode=None,\n",
        "              colsample_bytree=None, early_stopping_rounds=None,\n",
        "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
@@ -806,7 +820,7 @@
        "              max_delta_step=None, max_depth=None, max_leaves=None,\n",
        "              min_child_weight=None, missing=nan, monotone_constraints=None,\n",
        "              n_estimators=100, n_jobs=None, num_parallel_tree=None,\n",
-       "              predictor=None, random_state=None, ...)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBClassifier</label><div class=\"sk-toggleable__content\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
+       "              predictor=None, random_state=None, ...)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBClassifier</label><div class=\"sk-toggleable__content\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
        "              colsample_bylevel=None, colsample_bynode=None,\n",
        "              colsample_bytree=None, early_stopping_rounds=None,\n",
        "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
@@ -832,7 +846,7 @@
        "              predictor=None, random_state=None, ...)"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -840,7 +854,7 @@
    "source": [
     "# Train XGBoost classifier on embedding vector\n",
     "classifier = XGBClassifier(n_estimators=100)\n",
-    "classifier.fit(train_embedding.cpu().numpy(), labels[train_seeds].cpu().numpy())\n"
+    "classifier.fit(train_embedding.cpu().numpy(), labels[train_seeds].cpu().numpy())"
    ]
   },
   {
@@ -853,11 +867,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
-    "xgb_pred = classifier.predict_proba(test_embedding.cpu().numpy())\n"
+    "xgb_pred = classifier.predict_proba(test_embedding.cpu().numpy())"
    ]
   },
   {
@@ -878,14 +892,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final Test Accuracy: 0.9245283018867925 auc 0.9055425448868072\n"
+      "Final Test Accuracy: 0.9320754716981132 auc 0.9040788446526152\n"
      ]
     }
    ],
@@ -921,18 +935,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
     "model_dir= \"modelpath/\"\n",
     "\n",
-    "save_model(train_graph, model, hyperparameters, classifier, model_dir)\n"
+    "save_model(train_graph, model, hyperparameters, classifier, model_dir)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -949,14 +963,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
-    "## For inference we can load from file as follows. \n",
+    "## For inference we can load from file as follows.\n",
     "from training import load_model\n",
+    "\n",
     "# do inference on loaded model, as follows\n",
-    "# hinsage_model,  hyperparam, g = load_model(model_dir, device)"
+    "hinsage_model,  hyperparam, g = load_model(model_dir)"
    ]
   },
   {
@@ -985,13 +1000,6 @@
     "2.https://stellargraph.readthedocs.io/en/stable/hinsage.html?highlight=hinsage\n",
     "3.https://github.com/rapidsai/clx/blob/branch-0.20/examples/forest_inference/xgboost_training.ipynb\""
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/models/training-tuning-scripts/fraud-detection-models/training.py b/models/training-tuning-scripts/fraud-detection-models/training.py
index e8facb1655..e0dc8b1a0e 100644
--- a/models/training-tuning-scripts/fraud-detection-models/training.py
+++ b/models/training-tuning-scripts/fraud-detection-models/training.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/training-tuning-scripts/log-parsing-models/requirements.yml b/models/training-tuning-scripts/log-parsing-models/requirements.yml
deleted file mode 100644
index 761443a742..0000000000
--- a/models/training-tuning-scripts/log-parsing-models/requirements.yml
+++ /dev/null
@@ -1,31 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-channels:
-  - rapidsai
-  - nvidia
-  - pytorch
-  - conda-forge
-  - defaults
-dependencies:
-  - cudf=23.06
-  - jupyterlab
-  - onnx
-  - python=3.10
-  - pytorch-cuda=11.8
-  - pytorch=2.0.1
-  - seqeval=1.2.2
-  - tqdm=4
-  - transformers
diff --git a/models/training-tuning-scripts/phishing-models/phish_bert_training_script.py b/models/training-tuning-scripts/phishing-models/phish_bert_training_script.py
index c8dfb822d8..f38a8133ae 100644
--- a/models/training-tuning-scripts/phishing-models/phish_bert_training_script.py
+++ b/models/training-tuning-scripts/phishing-models/phish_bert_training_script.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/training-tuning-scripts/phishing-models/requirements.yml b/models/training-tuning-scripts/phishing-models/requirements.yml
deleted file mode 100644
index 8d5321283a..0000000000
--- a/models/training-tuning-scripts/phishing-models/requirements.yml
+++ /dev/null
@@ -1,31 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-channels:
-  - rapidsai
-  - nvidia
-  - pytorch
-  - conda-forge
-  - defaults
-dependencies:
-  - cudf=23.06
-  - jupyterlab
-  - onnx
-  - python=3.10
-  - pytorch-cuda=11.8
-  - pytorch=2.0.1
-  - scikit-learn=1.2.2
-  - tqdm=4
-  - transformers
diff --git a/models/training-tuning-scripts/root-cause-models/requirements.yml b/models/training-tuning-scripts/root-cause-models/requirements.yml
deleted file mode 100644
index 8d5321283a..0000000000
--- a/models/training-tuning-scripts/root-cause-models/requirements.yml
+++ /dev/null
@@ -1,31 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-channels:
-  - rapidsai
-  - nvidia
-  - pytorch
-  - conda-forge
-  - defaults
-dependencies:
-  - cudf=23.06
-  - jupyterlab
-  - onnx
-  - python=3.10
-  - pytorch-cuda=11.8
-  - pytorch=2.0.1
-  - scikit-learn=1.2.2
-  - tqdm=4
-  - transformers
diff --git a/models/training-tuning-scripts/root-cause-models/root_cause_bert.py b/models/training-tuning-scripts/root-cause-models/root_cause_bert.py
index 61b32892d0..caa92384c4 100644
--- a/models/training-tuning-scripts/root-cause-models/root_cause_bert.py
+++ b/models/training-tuning-scripts/root-cause-models/root_cause_bert.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -85,7 +85,7 @@ def train(trainingdata, unseenerrors):
     print(f1_score(true_labels, tests))
 
 
-def main():
+def main(args):
 
     train(args.trainingdata, args.unseenerrors)
 
@@ -97,6 +97,5 @@ def main():
                         required=True,
                         help="""Labelled data to be added to test set for
                         evaluation after training""")
-    args = parser.parse_args()
 
-main()
+    main(parser.parse_args())
diff --git a/models/training-tuning-scripts/sid-models/requirements.yml b/models/training-tuning-scripts/sid-models/requirements.yml
deleted file mode 100644
index 8d5321283a..0000000000
--- a/models/training-tuning-scripts/sid-models/requirements.yml
+++ /dev/null
@@ -1,31 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-channels:
-  - rapidsai
-  - nvidia
-  - pytorch
-  - conda-forge
-  - defaults
-dependencies:
-  - cudf=23.06
-  - jupyterlab
-  - onnx
-  - python=3.10
-  - pytorch-cuda=11.8
-  - pytorch=2.0.1
-  - scikit-learn=1.2.2
-  - tqdm=4
-  - transformers
diff --git a/models/training-tuning-scripts/sid-models/sid-minibert-20230424-script.py b/models/training-tuning-scripts/sid-models/sid-minibert-20230424-script.py
index f39ad07c6d..e41f3a4405 100644
--- a/models/training-tuning-scripts/sid-models/sid-minibert-20230424-script.py
+++ b/models/training-tuning-scripts/sid-models/sid-minibert-20230424-script.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -205,7 +205,7 @@ def model_eval(model, val_dataloader, idx2label):
         print(cfm)
 
 
-def main():
+def main(args):
     print("Data Preprocessing...")
     train_dataloader, val_dataloader, idx2label = data_preprocessing(args.training_data)
     print("Model Training...")
@@ -227,6 +227,5 @@ def main():
                         with model file")
     parser.add_argument("--tokenizer-hash-filepath", required=True, help="hash file for tokenizer vocab")
     parser.add_argument("--output-file", required=True, help="output file to save new model")
-    args = parser.parse_args()
 
-main()
+    main(parser.parse_args())
diff --git a/models/triton-model-repo/README.md b/models/triton-model-repo/README.md
index b479385be7..b4d11b1829 100644
--- a/models/triton-model-repo/README.md
+++ b/models/triton-model-repo/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/triton-model-repo/phishing-bert-trt/1/README.md b/models/triton-model-repo/phishing-bert-trt/1/README.md
index c8bafa8ddd..7c3644943f 100644
--- a/models/triton-model-repo/phishing-bert-trt/1/README.md
+++ b/models/triton-model-repo/phishing-bert-trt/1/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/triton-model-repo/sid-minibert-trt/1/README.md b/models/triton-model-repo/sid-minibert-trt/1/README.md
index a95f8cdefd..65a39c7ba5 100644
--- a/models/triton-model-repo/sid-minibert-trt/1/README.md
+++ b/models/triton-model-repo/sid-minibert-trt/1/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/validation-inference-scripts/abp-models/abp-inference.py b/models/validation-inference-scripts/abp-models/abp_inference.py
similarity index 85%
rename from models/validation-inference-scripts/abp-models/abp-inference.py
rename to models/validation-inference-scripts/abp-models/abp_inference.py
index 6e19af225c..3ee354a621 100644
--- a/models/validation-inference-scripts/abp-models/abp-inference.py
+++ b/models/validation-inference-scripts/abp-models/abp_inference.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,7 +14,7 @@
 # limitations under the License.
 """
 Example Usage:
-python abp-inference.py \
+python abp_inference.py \
     --validationdata ../../datasets/validation-data/abp-validation-data.jsonlines \
     --model ../../abp-models/abp-nvsmi-xgb-20210310.bst \
     --output abp-validation-output.jsonlines
@@ -30,7 +30,7 @@
 def infer(validationdata, model, output):
 
     data = []
-    with open(validationdata) as f:
+    with open(validationdata, encoding="utf-8") as f:
         for line in f:
             data.append(json.loads(line))
 
@@ -41,9 +41,9 @@ def infer(validationdata, model, output):
     # Load the classifier previously saved with xgboost model_save()
     model_path = model
 
-    fm = ForestInference.load(model_path, output_class=True)
+    model = ForestInference.load(model_path, output_class=True)
 
-    fil_preds_gpu = fm.predict(df2.astype("float32"))
+    fil_preds_gpu = model.predict(df2.astype("float32"))
 
     y_pred = fil_preds_gpu.to_array()
 
@@ -54,7 +54,7 @@ def infer(validationdata, model, output):
     df2.to_json(output, orient='records', lines=True)
 
 
-def main():
+def main(args):
 
     infer(args.validationdata, args.model, args.output)
 
@@ -64,6 +64,5 @@ def main():
     parser.add_argument("--validationdata", required=True, help="Labelled data in JSON format")
     parser.add_argument("--model", required=True, help="trained model")
     parser.add_argument("--output", required=True, help="output filename")
-    args = parser.parse_args()
 
-main()
+    main(parser.parse_args())
diff --git a/models/validation-inference-scripts/abp-models/requirements.txt b/models/validation-inference-scripts/abp-models/requirements.txt
deleted file mode 100644
index 774edd9c5c..0000000000
--- a/models/validation-inference-scripts/abp-models/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-cudf==0+untagged.1.g788bddd
-cuml==0+untagged.1.gac37465
-cupy==9.1.0
-scikit_learn==1.0.2
-xgboost==1.4.2
diff --git a/models/validation-inference-scripts/dfp-models/hammah_inference.py b/models/validation-inference-scripts/dfp-models/hammah_inference.py
index f853d8e3fd..e928a6332c 100644
--- a/models/validation-inference-scripts/dfp-models/hammah_inference.py
+++ b/models/validation-inference-scripts/dfp-models/hammah_inference.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -119,7 +119,7 @@ def back_to_string(obj):
     x_validation.to_csv(output, index=False)
 
 
-def main():
+def main(args):
 
     infer(args.validationdata, args.model, args.output)
 
@@ -129,6 +129,5 @@ def main():
     parser.add_argument("--validationdata", required=True, help="Labelled data in JSON format")
     parser.add_argument("--model", required=True, help="trained model")
     parser.add_argument("--output", required=True, help="output filename")
-    args = parser.parse_args()
 
-main()
+    main(parser.parse_args())
diff --git a/models/validation-inference-scripts/dfp-models/periodicity_detection.py b/models/validation-inference-scripts/dfp-models/periodicity_detection.py
index ef84a5590e..2b28af5e64 100644
--- a/models/validation-inference-scripts/dfp-models/periodicity_detection.py
+++ b/models/validation-inference-scripts/dfp-models/periodicity_detection.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/validation-inference-scripts/dfp-models/requirements.txt b/models/validation-inference-scripts/dfp-models/requirements.txt
deleted file mode 100644
index 9534ac0801..0000000000
--- a/models/validation-inference-scripts/dfp-models/requirements.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-clx==0.0.1
-cupy==9.1.0
-dfencoder==0.0.35
-dill==0.3.4
-matplotlib==3.4.2
-numpy==1.22.0
-pandas==1.0.1
-scikit_learn==1.0.2
-torch==2.0.1+cu118
diff --git a/models/validation-inference-scripts/fraud-detection-models/inference.py b/models/validation-inference-scripts/fraud-detection-models/inference.py
index 02d470eaf5..0c482fcfdc 100644
--- a/models/validation-inference-scripts/fraud-detection-models/inference.py
+++ b/models/validation-inference-scripts/fraud-detection-models/inference.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/models/validation-inference-scripts/log-parsing-models/log-parsing-inference.py b/models/validation-inference-scripts/log-parsing-models/log_parsing_inference.py
similarity index 91%
rename from models/validation-inference-scripts/log-parsing-models/log-parsing-inference.py
rename to models/validation-inference-scripts/log-parsing-models/log_parsing_inference.py
index 50e0ab3931..f50a32f265 100644
--- a/models/validation-inference-scripts/log-parsing-models/log-parsing-inference.py
+++ b/models/validation-inference-scripts/log-parsing-models/log_parsing_inference.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,7 +16,7 @@
 Using a BERT model to parse raw logs into jsons.
 
 Example Usage:
-python log-parsing-inference.py \
+python log_parsing_inference.py \
     --inputdata ../../datasets/validation-data/log-parsing-validation-data-input.csv \
     --modelfile ../../log-parsing-models/log-parsing-20220418.bin \
     --configfile ../../log-parsing-models/log-parsing-config-20220418.json \
@@ -33,7 +33,7 @@
 import numpy as np
 import pandas as pd
 import torch
-import torch.nn as nn
+from torch import nn
 from torch.nn import functional as f
 from torch.utils.data import DataLoader
 from torch.utils.data import TensorDataset
@@ -57,8 +57,8 @@ def __init__(self, vocabfile, hashfile):
         # resources_dir = "%s/resources" % os.path.dirname(os.path.realpath(__file__))
         vocabpath = vocabfile
         self._vocab_lookup = {}
-        with open(vocabpath) as f:
-            for index, line in enumerate(f):
+        with open(vocabpath, encoding="utf-8") as file:
+            for index, line in enumerate(file):
                 self._vocab_lookup[index] = line.split()[0]
         self._hashpath = hashfile
 
@@ -78,8 +78,8 @@ def load_model(self, model_filepath, config_filepath):
         >>> cyparse.load_model('/path/to/model.bin', '/path/to/config.json')
         """
 
-        with open(config_filepath) as f:
-            config = json.load(f)
+        with open(config_filepath, encoding="utf-8") as file:
+            config = json.load(file)
         self._label_map = {int(k): v for k, v in config["id2label"].items()}
         self._model = BertForTokenClassification.from_pretrained(
             model_filepath,
@@ -114,8 +114,8 @@ def preprocess(self, raw_data_col, stride_len=64, max_seq_len=256):
 
         tokenizer = SubwordTokenizer(self._hashpath, do_lower_case=False)
         tokenizer_output = tokenizer(raw_data_col,
-                                     max_length=256,
-                                     stride=64,
+                                     max_length=max_seq_len,
+                                     stride=stride_len,
                                      truncation=False,
                                      max_num_rows=max_rows_tensor,
                                      add_special_tokens=False,
@@ -152,7 +152,7 @@ def inference(self, raw_data_col, batch_size=64):
         dataloader = DataLoader(dataset=dataset, shuffle=False, batch_size=batch_size)
         confidences_list = []
         labels_list = []
-        for step, batch in enumerate(dataloader):
+        for _, batch in enumerate(dataloader):
             in_ids, att_masks = batch
             with torch.no_grad():
                 logits = self._model(in_ids, att_masks)[0]
@@ -173,8 +173,8 @@ def inference(self, raw_data_col, batch_size=64):
         del labels
         del confidences_list
         del labels_list
-        parsed_df, confidence_df = self.__postprocess(infer_pdf)
-        return parsed_df, confidence_df
+        parsed, confidence = self.__postprocess(infer_pdf)
+        return parsed, confidence
 
     def __postprocess(self, infer_pdf):
         # cut overlapping edges
@@ -191,24 +191,24 @@ def __postprocess(self, infer_pdf):
         parsed_dfs = infer_pdf.apply(lambda row: self.__get_label_dicts(row), axis=1, result_type="expand")
         ext_parsed = pd.DataFrame(parsed_dfs[0].tolist())
         ext_confidence = pd.DataFrame(parsed_dfs[1].tolist())
-        parsed_df = pd.DataFrame()
-        confidence_df = pd.DataFrame()
+        parsed = pd.DataFrame()
+        confidence = pd.DataFrame()
         ext_confidence = ext_confidence.applymap(np.mean)
         for label in ext_parsed.columns:
             if label[0] == "B":
                 col_name = label[2:]
                 if "I-" + col_name in ext_parsed.columns:
-                    parsed_df[col_name] = ext_parsed[label] + " " + ext_parsed["I-" + col_name].fillna('')
-                    confidence_df[col_name] = (ext_confidence[label] + ext_confidence[label]) / 2
+                    parsed[col_name] = ext_parsed[label] + " " + ext_parsed["I-" + col_name].fillna('')
+                    confidence[col_name] = (ext_confidence[label] + ext_confidence[label]) / 2
                 else:
-                    parsed_df[col_name] = ext_parsed[label]
-                    confidence_df[col_name] = ext_confidence[label]
+                    parsed[col_name] = ext_parsed[label]
+                    confidence[col_name] = ext_confidence[label]
         del ext_parsed
         del ext_confidence
 
         # decode cleanup
-        parsed_df = self.__decode_cleanup(parsed_df)
-        return parsed_df, confidence_df
+        parsed = self.__decode_cleanup(parsed)
+        return parsed, confidence
 
     def __get_label_dicts(self, row):
         token_dict = defaultdict(str)
diff --git a/models/validation-inference-scripts/log-parsing-models/requirements.txt b/models/validation-inference-scripts/log-parsing-models/requirements.txt
deleted file mode 100644
index 90599a76b3..0000000000
--- a/models/validation-inference-scripts/log-parsing-models/requirements.txt
+++ /dev/null
@@ -1 +0,0 @@
-transformers==4.22.2
diff --git a/models/validation-inference-scripts/phishing-models/phish_bert_inference_script.py b/models/validation-inference-scripts/phishing-models/phish_bert_inference_script.py
index ae4738a63b..5327788e0d 100644
--- a/models/validation-inference-scripts/phishing-models/phish_bert_inference_script.py
+++ b/models/validation-inference-scripts/phishing-models/phish_bert_inference_script.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,6 +21,14 @@
     --output phishing-email-validation-output.jsonlines
 """
 
+import argparse
+import json
+
+import numpy as np
+import onnxruntime
+import scipy
+import torch
+
 ###########################################################################################
 # cudf imports moved before torch import to avoid the following error:
 # ImportError: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found
@@ -29,14 +37,6 @@
 
 ###########################################################################################
 
-import argparse
-import json
-
-import numpy as np
-import onnxruntime
-import torch
-import scipy
-
 
 def infer(validationdata, vocab, model, output):
 
@@ -76,7 +76,7 @@ def bert_uncased_tokenize(strings, max_seq_len):
     ort_inputs = {ort_session.get_inputs()[0].name: input_ids, ort_session.get_inputs()[1].name: att_masks}
     ort_outs = ort_session.run(None, ort_inputs)
     # probabilities
-    probs = scipy.special.expit(ort_outs[0])
+    probs = scipy.special.expit(ort_outs[0])  # pylint:disable=no-member
     # predictions using 0.5 threshold
     preds = (probs >= 0.5).astype(np.int_)
     preds = preds[:, 1].tolist()
@@ -87,7 +87,7 @@ def bert_uncased_tokenize(strings, max_seq_len):
     df.to_json(output, orient='records', lines=True)
 
 
-def main():
+def main(args):
 
     infer(args.validationdata, args.vocab, args.model, args.output)
 
@@ -98,6 +98,5 @@ def main():
     parser.add_argument("--vocab", required=True, help="BERT voabulary file")
     parser.add_argument("--model", required=True, help="pretrained model")
     parser.add_argument("--output", required=True, help="output filename")
-    args = parser.parse_args()
 
-main()
+    main(parser.parse_args())
diff --git a/models/validation-inference-scripts/phishing-models/requirements.txt b/models/validation-inference-scripts/phishing-models/requirements.txt
deleted file mode 100644
index 75bb5bddef..0000000000
--- a/models/validation-inference-scripts/phishing-models/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-cudf==22.8.1
-numpy==1.22.4
-onnxruntime==1.13.1
-scipy==1.9.1
-torch==2.0.1+cu118
diff --git a/models/validation-inference-scripts/root-cause-models/requirements.txt b/models/validation-inference-scripts/root-cause-models/requirements.txt
deleted file mode 100644
index 75bb5bddef..0000000000
--- a/models/validation-inference-scripts/root-cause-models/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-cudf==22.8.1
-numpy==1.22.4
-onnxruntime==1.13.1
-scipy==1.9.1
-torch==2.0.1+cu118
diff --git a/models/validation-inference-scripts/root-cause-models/root_cause_inference.py b/models/validation-inference-scripts/root-cause-models/root_cause_inference.py
index 6ca4679b33..18a6609389 100644
--- a/models/validation-inference-scripts/root-cause-models/root_cause_inference.py
+++ b/models/validation-inference-scripts/root-cause-models/root_cause_inference.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,6 +22,14 @@
     --output root-cause-validation-output.jsonlines
 """
 
+import argparse
+import json
+
+import numpy as np
+import onnxruntime
+import scipy
+import torch
+
 ###########################################################################################
 # cudf imports moved before torch import to avoid the following error:
 # ImportError: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found
@@ -30,14 +38,6 @@
 
 ###########################################################################################
 
-import argparse
-import json
-
-import numpy as np
-import onnxruntime
-import torch
-import scipy
-
 
 def infer(
     validationdata,
@@ -88,7 +88,7 @@ def bert_uncased_tokenize(strings, max_seq_len):
     ort_inputs = {ort_session.get_inputs()[0].name: input_ids, ort_session.get_inputs()[1].name: att_masks}
     ort_outs = ort_session.run(None, ort_inputs)
 
-    probs = scipy.special.expit(ort_outs[0])
+    probs = scipy.special.expit(ort_outs[0])  # pylint:disable=no-member
 
     preds = (probs >= 0.5).astype(np.int_)
 
@@ -99,7 +99,7 @@ def bert_uncased_tokenize(strings, max_seq_len):
     df.to_json(output, orient='records', lines=True)
 
 
-def main():
+def main(args):
 
     infer(args.validationdata, args.vocab, args.model, args.output)
 
@@ -110,6 +110,5 @@ def main():
     parser.add_argument('--vocab', required=True, help='BERT voabulary file')
     parser.add_argument('--model', required=True, help='pretrained model')
     parser.add_argument('--output', required=True, help='output filename')
-    args = parser.parse_args()
 
-main()
+    main(parser.parse_args())
diff --git a/morpheus.code-workspace b/morpheus.code-workspace
index 273057e0d5..aae7d14c8c 100644
--- a/morpheus.code-workspace
+++ b/morpheus.code-workspace
@@ -1,4 +1,24 @@
 {
+    "extensions": {
+        // See https://go.microsoft.com/fwlink/?LinkId=827846 to learn about workspace recommendations.
+        // Extension identifier format: ${publisher}.${name}. Example: vscode.csharp
+        // List of extensions which should be recommended for users of this workspace.
+        "recommendations": [
+            "eeyore.yapf",
+            "josetr.cmake-language-support-vscode",
+            "llvm-vs-code-extensions.vscode-clangd",
+            "matepek.vscode-catch2-test-adapter",
+            "ms-python.flake8",
+            "ms-python.isort",
+            "ms-python.pylint",
+            "ms-vscode.cmake-tools",
+            "stkb.rewrap"
+        ],
+        // List of extensions recommended by VS Code that should not be recommended for users of this workspace.
+        "unwantedRecommendations": [
+            "austin.code-gnu-global"
+        ]
+    },
     "folders": [
         {
             "path": "."
@@ -62,7 +82,7 @@
                 "program": "${workspaceFolder}/morpheus/cli/run.py",
                 "request": "launch",
                 "subProcess": true,
-                "type": "python"
+                "type": "debugpy"
             },
             {
                 "args": [
@@ -118,7 +138,7 @@
                 "program": "${workspaceFolder}/morpheus/cli/run.py",
                 "request": "launch",
                 "subProcess": true,
-                "type": "python"
+                "type": "debugpy"
             },
             {
                 "args": [
@@ -180,7 +200,7 @@
                 "program": "${workspaceFolder}/morpheus/cli/run.py",
                 "request": "launch",
                 "subProcess": true,
-                "type": "python"
+                "type": "debugpy"
             },
             {
                 "args": [
@@ -245,7 +265,7 @@
                 "program": "${workspaceFolder}/morpheus/cli/run.py",
                 "request": "launch",
                 "subProcess": true,
-                "type": "python"
+                "type": "debugpy"
             },
             {
                 "args": [
@@ -264,7 +284,7 @@
                 "name": "Python: Anomaly Detection Example",
                 "program": "${workspaceFolder}/examples/abp_pcap_detection/run.py",
                 "request": "launch",
-                "type": "python"
+                "type": "debugpy"
             },
             {
                 "args": [
@@ -282,7 +302,7 @@
                 "module": "sphinx.cmd.build",
                 "name": "Python: Sphinx",
                 "request": "launch",
-                "type": "python"
+                "type": "debugpy"
             },
             {
                 "MIMode": "gdb",
@@ -565,52 +585,54 @@
                 "type": "cppdbg"
             },
             {
-                "name": "Python: GNN DGL inference",
-                "type": "python",
-                "request": "launch",
-                "program": "${workspaceFolder}/examples/gnn_fraud_detection_pipeline/run.py",
-                "console": "integratedTerminal",
-                "cwd": "${workspaceFolder}/examples/gnn_fraud_detection_pipeline",
-                "justMyCode": false,
                 "args": [
                     "--input_file=validation.csv",
                     "--training_file=training.csv",
                     "--output_file=result.csv",
                     "--model_dir=model"
-                ]
-            },
-            {
-                "name": "Python: GNN model training",
-                "type": "python",
-                "request": "launch",
-                "program": "${workspaceFolder}/models/training-tuning-scripts/fraud-detection-models/training.py",
+                ],
                 "console": "integratedTerminal",
-                "cwd": "${workspaceFolder}/models/training-tuning-scripts/fraud-detection-models",
+                "cwd": "${workspaceFolder}/examples/gnn_fraud_detection_pipeline",
                 "justMyCode": false,
+                "name": "Python: GNN DGL inference",
+                "program": "${workspaceFolder}/examples/gnn_fraud_detection_pipeline/run.py",
+                "request": "launch",
+                "type": "debugpy"
+            },
+            {
                 "args": [
                     "--training-data=${workspaceFolder}/examples/gnn_fraud_detection_pipeline/training.csv",
                     "--validation-data=${workspaceFolder}/examples/gnn_fraud_detection_pipeline/validation.csv",
                     "--output-file=result.csv",
                     "--model-dir=models",
                     "--epochs=5"
-                ]
+                ],
+                "console": "integratedTerminal",
+                "cwd": "${workspaceFolder}/models/training-tuning-scripts/fraud-detection-models",
+                "justMyCode": false,
+                "name": "Python: GNN model training",
+                "program": "${workspaceFolder}/models/training-tuning-scripts/fraud-detection-models/training.py",
+                "request": "launch",
+                "type": "debugpy"
             }
         ]
     },
     "settings": {
         "[cpp]": {
+            "editor.defaultFormatter": "llvm-vs-code-extensions.vscode-clangd",
             "editor.detectIndentation": false,
             "editor.formatOnSave": true,
             "editor.semanticHighlighting.enabled": true,
             "editor.suggest.insertMode": "replace",
             "editor.tabSize": 4,
-            "editor.wordBasedSuggestions": false,
+            "editor.wordBasedSuggestions": "off",
             "editor.wordWrapColumn": 120
         },
         "[python]": {
             "editor.codeActionsOnSave": {
-                "source.organizeImports": true
+                "source.organizeImports": "explicit"
             },
+            "editor.defaultFormatter": "eeyore.yapf",
             "editor.formatOnSave": true,
             "editor.tabSize": 4
         },
@@ -628,6 +650,9 @@
         "files.insertFinalNewline": true,
         "files.trimFinalNewlines": true,
         "files.trimTrailingWhitespace": true,
+        "flake8.args": [
+            "--style=${workspaceFolder}/setup.cfg"
+        ],
         "pylint.args": [
             "--rcfile=${workspaceFolder}/pyproject.toml",
             "--init-hook=import sys; sys.path.append(\"${workspaceFolder}\")"
@@ -636,17 +661,47 @@
         "python.analysis.extraPaths": [
             "./examples/digital_fingerprinting/production/morpheus"
         ],
-        "python.formatting.provider": "yapf",
-        "python.formatting.yapfArgs": [
-            "--style=${workspaceFolder}/setup.cfg"
-        ],
-        "python.linting.flake8Enabled": true,
         "python.testing.pytestArgs": [
             "-s",
             "tests"
         ],
         "python.testing.pytestEnabled": true,
         "python.testing.unittestEnabled": false,
-        "rewrap.wrappingColumn": 120
+        "rewrap.wrappingColumn": 120,
+        "testMate.cpp.test.advancedExecutables": [
+            {
+                "pattern": "{build,Build,BUILD,out,Out,OUT}/**/*{test,Test,TEST}_*.x",
+                "env": {
+                    "UCX_ERROR_SIGNALS": "", // Prevent UCX from capturing errors
+                    "MORPHEUS_ROOT": "${workspaceFolder}", // Ensure the MORPHEUS_ROOT is set
+                }
+            }
+        ],
+        "testMate.cpp.debug.configTemplate": {
+            "args": "${argsArray}",
+            "cwd": "${cwd}",
+            "darwin": {
+                "MIMode": "lldb",
+                "type": "cppdbg"
+            },
+            "env": "${envObj}",
+            "environment": "${envObjArray}",
+            "name": "Debug Test Runner (${parentLabel} > ${label})",
+            "program": "${exec}",
+            "request": "launch",
+            "testMate.cpp.debug.setEnv": {
+                "GLOG_v": "10",
+                "GTEST_CATCH_EXCEPTIONS": "0", // Allow the debugger to catch exceptions
+                "MORPHEUS_ROOT": "${workspaceFolder}", // Ensure the MORPHEUS_ROOT is set
+                "UCX_ERROR_SIGNALS": "" // Prevent UCX from capturing errors
+            },
+            "type": "lldb",
+            "win32": {
+                "type": "cppvsdbg"
+            }
+        },
+        "yapf.args": [
+            "--style=${workspaceFolder}/setup.cfg"
+        ]
     }
 }
diff --git a/morpheus/CMakeLists.txt b/morpheus/CMakeLists.txt
index 86f35d5983..bac74cc3d9 100644
--- a/morpheus/CMakeLists.txt
+++ b/morpheus/CMakeLists.txt
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/__init__.py b/morpheus/__init__.py
index d118d658d7..ec8aa7eb19 100644
--- a/morpheus/__init__.py
+++ b/morpheus/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -12,14 +12,15 @@
 # limitations under the License.
 """Root module for the Morpheus library."""
 
+import logging
+import os
+
 # ########################### CVE-2023-47248 Mitigation ############################
 # Import pyarrow_hotfix as early as possible to ensure that the pyarrow hotfix is applied before any code can use it
 # Can be removed after upgrading to pyarrow 14.0.1 or later (which is dictated by cudf)
 import pyarrow_hotfix
-# ##################################################################################
 
-import logging
-import os
+# ##################################################################################
 
 # Create a default null logger to prevent log messages from being propagated to users of this library unless otherwise
 # configured. Use the `utils.logging` module to configure Morpheus logging
diff --git a/morpheus/_lib/CMakeLists.txt b/morpheus/_lib/CMakeLists.txt
index ac76601620..1892dd3ba9 100644
--- a/morpheus/_lib/CMakeLists.txt
+++ b/morpheus/_lib/CMakeLists.txt
@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
diff --git a/morpheus/_lib/README.md b/morpheus/_lib/README.md
index 25c8cf3d07..38c08efa73 100644
--- a/morpheus/_lib/README.md
+++ b/morpheus/_lib/README.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/__init__.py b/morpheus/_lib/__init__.py
index 197c99d11d..062b15bdc7 100644
--- a/morpheus/_lib/__init__.py
+++ b/morpheus/_lib/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
diff --git a/morpheus/_lib/cmake/libmorpheus.cmake b/morpheus/_lib/cmake/libmorpheus.cmake
index 69b8857631..388337cadd 100644
--- a/morpheus/_lib/cmake/libmorpheus.cmake
+++ b/morpheus/_lib/cmake/libmorpheus.cmake
@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
@@ -71,6 +71,7 @@ add_library(morpheus
   src/stages/file_source.cpp
   src/stages/filter_detection.cpp
   src/stages/http_server_source_stage.cpp
+  src/stages/inference_client_stage.cpp
   src/stages/kafka_source.cpp
   src/stages/preprocess_fil.cpp
   src/stages/preprocess_nlp.cpp
@@ -91,12 +92,12 @@ add_library(${PROJECT_NAME}::morpheus ALIAS morpheus)
 
 target_link_libraries(morpheus
   PRIVATE
-    ${cudf_helpers_target}
     matx::matx
-
+    $<$<CONFIG:Debug>:ZLIB::ZLIB>
   PUBLIC
+    $<TARGET_NAME_IF_EXISTS:conda_env>
     cudf::cudf
-    CUDA::nvToolsExt
+    CUDA::nvtx3
     mrc::pymrc
     RDKAFKA::RDKAFKA
     TritonClient::httpclient_static
@@ -109,6 +110,17 @@ target_include_directories(morpheus
     $<INSTALL_INTERFACE:include>
 )
 
+# Add the include directories of the cudf_helpers_project since we dont want to link directly to it
+get_target_property(cudf_helpers_include ${cudf_helpers_target} INTERFACE_INCLUDE_DIRECTORIES)
+
+target_include_directories(morpheus
+  PRIVATE
+    ${cudf_helpers_include}
+)
+
+# Also add a dependency to the target so that the headers are generated before the target is built
+add_dependencies(morpheus ${cudf_helpers_target})
+
 # In debug mode, dont allow missing symbols
 target_link_options(morpheus PUBLIC "$<$<CONFIG:Debug>:-Wl,--no-allow-shlib-undefined>")
 
@@ -133,6 +145,7 @@ target_sources(morpheus
   PUBLIC
     FILE_SET public_headers
     TYPE HEADERS
+    BASE_DIRS "${CMAKE_CURRENT_SOURCE_DIR}/include"
     FILES
   ${morpheus_public_headers}
 )
@@ -165,17 +178,73 @@ set_target_properties(morpheus
     CUDA_STANDARD_REQUIRED ON
 )
 
+if(MORPHEUS_PYTHON_INPLACE_BUILD)
+  morpheus_utils_inplace_build_copy(morpheus ${CMAKE_CURRENT_SOURCE_DIR})
+endif()
+
+# ##################################################################################################
+# - install targets --------------------------------------------------------------------------------
+
+# Get the library directory in a cross-platform way
+rapids_cmake_install_lib_dir(lib_dir)
+
+include(CPack)
+include(GNUInstallDirs)
+
 install(
-  TARGETS
-    morpheus
-  EXPORT
-    ${PROJECT_NAME}-exports
-  FILE_SET
-    public_headers
-  COMPONENT
-    Wheel
+    TARGETS
+      morpheus
+    EXPORT
+      ${PROJECT_NAME}-core-exports
+    LIBRARY
+    DESTINATION ${lib_dir}
+    FILE_SET
+      public_headers
 )
 
-if(MORPHEUS_PYTHON_INPLACE_BUILD)
-  morpheus_utils_inplace_build_copy(morpheus ${CMAKE_CURRENT_SOURCE_DIR})
+# ##################################################################################################
+# - install export ---------------------------------------------------------------------------------
+set(doc_string
+    [=[
+Provide targets for mrc.
+]=])
+
+set(rapids_project_version_compat SameMinorVersion)
+
+# Install cmake helper scripts needed to build examples
+set(cmake_lib_dir "${lib_dir}/cmake/morpheus")
+
+install(DIRECTORY
+  "${MORPHEUS_UTILS_ROOT_PATH}"
+  DESTINATION "${cmake_lib_dir}"
+)
+
+set(code_string
+    [=[
+if(EXISTS "${CMAKE_CURRENT_LIST_DIR}/morpheus_utils/load.cmake")
+  include("${CMAKE_CURRENT_LIST_DIR}/morpheus_utils/load.cmake")
 endif()
+]=])
+
+# Need to explicitly set VERSION ${PROJECT_VERSION} here since rapids_cmake gets
+# confused with the `RAPIDS_VERSION` variable we use
+rapids_export(INSTALL ${PROJECT_NAME}
+    EXPORT_SET ${PROJECT_NAME}-core-exports
+    GLOBAL_TARGETS morpheus
+    VERSION ${PROJECT_VERSION}
+    NAMESPACE morpheus::
+    DOCUMENTATION doc_string
+    FINAL_CODE_BLOCK code_string
+)
+
+# ##################################################################################################
+# - build export ----------------------------------------------------------------------------------
+rapids_export(BUILD ${PROJECT_NAME}
+    EXPORT_SET ${PROJECT_NAME}-core-exports
+    GLOBAL_TARGETS morpheus
+    VERSION ${PROJECT_VERSION}
+    LANGUAGES C CXX CUDA
+    NAMESPACE morpheus::
+    DOCUMENTATION doc_string
+    FINAL_CODE_BLOCK code_string
+)
diff --git a/morpheus/_lib/common/__init__.pyi b/morpheus/_lib/common/__init__.pyi
index ffa65aa302..3a27d05002 100644
--- a/morpheus/_lib/common/__init__.pyi
+++ b/morpheus/_lib/common/__init__.pyi
@@ -7,6 +7,7 @@
 from __future__ import annotations
 import morpheus._lib.common
 import typing
+import os
 
 __all__ = [
     "FiberQueue",
@@ -190,6 +191,10 @@ class TypeId():
     UINT8: morpheus._lib.common.TypeId # value = <TypeId.UINT8: 5>
     __members__: dict # value = {'EMPTY': <TypeId.EMPTY: 0>, 'INT8': <TypeId.INT8: 1>, 'INT16': <TypeId.INT16: 2>, 'INT32': <TypeId.INT32: 3>, 'INT64': <TypeId.INT64: 4>, 'UINT8': <TypeId.UINT8: 5>, 'UINT16': <TypeId.UINT16: 6>, 'UINT32': <TypeId.UINT32: 7>, 'UINT64': <TypeId.UINT64: 8>, 'FLOAT32': <TypeId.FLOAT32: 9>, 'FLOAT64': <TypeId.FLOAT64: 10>, 'BOOL8': <TypeId.BOOL8: 11>, 'STRING': <TypeId.STRING: 12>}
     pass
+@typing.overload
+def determine_file_type(filename: os.PathLike) -> FileTypes:
+    pass
+@typing.overload
 def determine_file_type(filename: str) -> FileTypes:
     pass
 def read_file_to_df(filename: str, file_type: FileTypes = FileTypes.Auto) -> object:
@@ -198,4 +203,4 @@ def typeid_to_numpy_str(arg0: TypeId) -> str:
     pass
 def write_df_to_file(df: object, filename: str, file_type: FileTypes = FileTypes.Auto, **kwargs) -> None:
     pass
-__version__ = '23.11.0'
+__version__ = '24.3.0'
diff --git a/morpheus/_lib/common/module.cpp b/morpheus/_lib/common/module.cpp
index c378c3a4d1..0c2ae40914 100644
--- a/morpheus/_lib/common/module.cpp
+++ b/morpheus/_lib/common/module.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -37,7 +37,10 @@
 #include <pybind11/attr.h>
 #include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>  // for return_value_policy::reference
+// for pathlib.Path -> std::filesystem::path conversions
+#include <pybind11/stl/filesystem.h>  // IWYU pragma: keep
 
+#include <filesystem>  // for std::filesystem::path
 #include <memory>
 #include <sstream>
 #include <string>
@@ -58,13 +61,29 @@ PYBIND11_MODULE(common, _module)
     CudfHelper::load();
 
     LoaderRegistry::register_factory_fn(
-        "file", [](nlohmann::json config) { return std::make_unique<FileDataLoader>(config); }, false);
+        "file",
+        [](nlohmann::json config) {
+            return std::make_unique<FileDataLoader>(config);
+        },
+        false);
     LoaderRegistry::register_factory_fn(
-        "grpc", [](nlohmann::json config) { return std::make_unique<GRPCDataLoader>(config); }, false);
+        "grpc",
+        [](nlohmann::json config) {
+            return std::make_unique<GRPCDataLoader>(config);
+        },
+        false);
     LoaderRegistry::register_factory_fn(
-        "payload", [](nlohmann::json config) { return std::make_unique<PayloadDataLoader>(config); }, false);
+        "payload",
+        [](nlohmann::json config) {
+            return std::make_unique<PayloadDataLoader>(config);
+        },
+        false);
     LoaderRegistry::register_factory_fn(
-        "rest", [](nlohmann::json config) { return std::make_unique<RESTDataLoader>(config); }, false);
+        "rest",
+        [](nlohmann::json config) {
+            return std::make_unique<RESTDataLoader>(config);
+        },
+        false);
 
     py::class_<TensorObject>(_module, "Tensor")
         .def_property_readonly("__cuda_array_interface__", &TensorObjectInterfaceProxy::cuda_array_interface)
@@ -106,9 +125,15 @@ PYBIND11_MODULE(common, _module)
         .value("CSV", FileTypes::CSV)
         .value("PARQUET", FileTypes::PARQUET);
 
-    _module.def("typeid_to_numpy_str", [](TypeId tid) { return DType(tid).type_str(); });
+    _module.def("typeid_to_numpy_str", [](TypeId tid) {
+        return DType(tid).type_str();
+    });
 
-    _module.def("determine_file_type", &determine_file_type, py::arg("filename"));
+    _module.def(
+        "determine_file_type", py::overload_cast<const std::string&>(&determine_file_type), py::arg("filename"));
+    _module.def("determine_file_type",
+                py::overload_cast<const std::filesystem::path&>(&determine_file_type),
+                py::arg("filename"));
     _module.def("read_file_to_df", &read_file_to_df, py::arg("filename"), py::arg("file_type") = FileTypes::Auto);
     _module.def("write_df_to_file",
                 &SerializersProxy::write_df_to_file,
diff --git a/morpheus/_lib/cudf_helpers.pyx b/morpheus/_lib/cudf_helpers.pyx
index c27b5c5c7e..561b20fafe 100644
--- a/morpheus/_lib/cudf_helpers.pyx
+++ b/morpheus/_lib/cudf_helpers.pyx
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,9 +19,10 @@ from libcpp.string cimport string
 from libcpp.utility cimport move
 from libcpp.vector cimport vector
 
+from cudf._lib.column cimport Column
 from cudf._lib.cpp.io.types cimport table_with_metadata
 from cudf._lib.cpp.table.table_view cimport table_view
-from cudf._lib.utils cimport data_from_table_view
+from cudf._lib.cpp.types cimport size_type
 from cudf._lib.utils cimport data_from_unique_ptr
 from cudf._lib.utils cimport get_column_names
 from cudf._lib.utils cimport table_view_from_table
@@ -39,6 +40,7 @@ cdef extern from "morpheus/objects/table_info.hpp" namespace "morpheus" nogil:
         table_view table_view
         vector[string] index_names
         vector[string] column_names
+        vector[size_type] column_indices
 
 
 cdef public api:
@@ -69,7 +71,23 @@ cdef public api:
                 name = c_name.decode()
                 column_names.append(name if name != "" else None)
 
-        data, index = data_from_table_view(table_info.table_view, owner=owner, column_names=column_names, index_names=index_names)
+
+        column_indicies = []
+
+        for c_index in table_info.column_indices:
+            column_indicies.append(c_index)
+
+        try:
+            data, index = data_from_table_view_indexed(
+                table_info.table_view,
+                owner=owner,
+                column_names=column_names,
+                column_indices=column_indicies,
+                index_names=index_names
+            )
+        except Exception:
+            import traceback
+            print("error while converting libcudf table to cudf dataframe:", traceback.format_exc())
 
         return cudf.DataFrame._from_data(data, index)
 
@@ -103,3 +121,55 @@ cdef public api:
             column_names.push_back(str.encode(name))
 
         return TableInfoData(input_table_view, index_names, column_names)
+
+    cdef data_from_table_view_indexed(
+        table_view tv,
+        object owner,
+        object column_names,
+        object column_indices,
+        object index_names
+    ):
+        """
+        Given a ``cudf::table_view``, constructs a Frame from it,
+        along with referencing an ``owner`` Python object that owns the memory
+        lifetime. If ``owner`` is a Frame we reach inside of it and
+        reach inside of each ``cudf.Column`` to make the owner of each newly
+        created ``Buffer`` underneath the ``cudf.Column`` objects of the
+        created Frame the respective ``Buffer`` from the relevant
+        ``cudf.Column`` of the ``owner`` Frame
+        """
+        cdef size_type column_idx = 0
+        table_owner = isinstance(owner, cudf.core.frame.Frame)
+
+        # First construct the index, if any
+        index = None
+        if index_names is not None:
+            index_columns = []
+            for _ in index_names:
+                column_owner = owner
+                if table_owner:
+                    column_owner = owner._index._columns[column_idx]
+                index_columns.append(
+                    Column.from_column_view(
+                        tv.column(column_idx),
+                        column_owner
+                    )
+                )
+                column_idx += 1
+            index = cudf.core.index._index_from_data(
+                dict(zip(index_names, index_columns)))
+
+        # Construct the data dict
+        cdef size_type source_column_idx = 0
+        data_columns = []
+        for _ in column_names:
+            column_owner = owner
+            if table_owner:
+                column_owner = owner._columns[column_indices[source_column_idx]]
+            data_columns.append(
+                Column.from_column_view(tv.column(column_idx), column_owner)
+            )
+            column_idx += 1
+            source_column_idx += 1
+
+        return dict(zip(column_names, data_columns)), index
diff --git a/morpheus/_lib/cudf_helpers/__init__.pyi b/morpheus/_lib/cudf_helpers/__init__.pyi
index 03abb15c7f..d5e844de49 100644
--- a/morpheus/_lib/cudf_helpers/__init__.pyi
+++ b/morpheus/_lib/cudf_helpers/__init__.pyi
@@ -8,5 +8,5 @@ __all__ = [
 ]
 
 
-__pyx_capi__: dict # value = {'make_table_from_table_with_metadata': <capsule object "PyObject *(cudf::io::table_with_metadata, int)">, 'make_table_from_table_info_data': <capsule object "PyObject *(morpheus::TableInfoData, PyObject *)">, 'make_table_info_data_from_table': <capsule object "morpheus::TableInfoData (PyObject *)">}
+__pyx_capi__: dict # value = {'make_table_from_table_with_metadata': <capsule object "PyObject *(cudf::io::table_with_metadata, int)">, 'make_table_from_table_info_data': <capsule object "PyObject *(morpheus::TableInfoData, PyObject *)">, 'make_table_info_data_from_table': <capsule object "morpheus::TableInfoData (PyObject *)">, 'data_from_table_view_indexed': <capsule object "PyObject *(cudf::table_view, PyObject *, PyObject *, PyObject *, PyObject *)">}
 __test__ = {}
diff --git a/morpheus/_lib/doca/CMakeLists.txt b/morpheus/_lib/doca/CMakeLists.txt
index cf3cafa17f..9cdf7a7e44 100644
--- a/morpheus/_lib/doca/CMakeLists.txt
+++ b/morpheus/_lib/doca/CMakeLists.txt
@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
@@ -50,7 +50,7 @@ target_link_libraries(morpheus_doca
 file(GLOB_RECURSE morpheus_doca_public_headers
   LIST_DIRECTORIES FALSE
   CONFIGURE_DEPENDS
-  "${CMAKE_CURRENT_SOURCE_DIR}/include/*.hpp"
+  "${CMAKE_CURRENT_SOURCE_DIR}/include/morpheus/doca/*"
 )
 
 # Add headers to target sources file_set so they can be installed
@@ -59,6 +59,7 @@ target_sources(morpheus_doca
   PUBLIC
     FILE_SET public_headers
     TYPE HEADERS
+    BASE_DIRS "${CMAKE_CURRENT_SOURCE_DIR}/include"
     FILES
       ${morpheus_doca_public_headers}
 )
@@ -76,17 +77,23 @@ set_target_properties(morpheus_doca
     CUDA_SEPARABLE_COMPILATION ON
 )
 
+if (MORPHEUS_PYTHON_INPLACE_BUILD)
+  morpheus_utils_inplace_build_copy(morpheus_doca ${CMAKE_CURRENT_SOURCE_DIR})
+endif()
+
+# ##################################################################################################
+# - install targets --------------------------------------------------------------------------------
+
+# Get the library directory in a cross-platform way
+rapids_cmake_install_lib_dir(lib_dir)
+
 install(
   TARGETS
     morpheus_doca
   EXPORT
-    ${PROJECT_NAME}-exports
+    ${PROJECT_NAME}-core-exports
+  LIBRARY
+    DESTINATION ${lib_dir}
   FILE_SET
     public_headers
-  COMPONENT
-    Wheel
 )
-
-if (MORPHEUS_PYTHON_INPLACE_BUILD)
-  morpheus_utils_inplace_build_copy(morpheus_doca ${CMAKE_CURRENT_SOURCE_DIR})
-endif()
diff --git a/morpheus/_lib/doca/__init__.pyi b/morpheus/_lib/doca/__init__.pyi
index 0771198a88..28f6282983 100644
--- a/morpheus/_lib/doca/__init__.pyi
+++ b/morpheus/_lib/doca/__init__.pyi
@@ -10,5 +10,5 @@ __all__ = [
 
 
 class DocaSourceStage(mrc.core.segment.SegmentObject):
-    def __init__(self, builder: mrc.core.segment.Builder, name: str, nic_pci_address: str, gpu_pci_address: str) -> None: ...
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, nic_pci_address: str, gpu_pci_address: str, traffic_type: str) -> None: ...
     pass
diff --git a/morpheus/_lib/doca/include/morpheus/doca/common.hpp b/morpheus/_lib/doca/include/morpheus/doca/common.hpp
new file mode 100644
index 0000000000..b2da26b088
--- /dev/null
+++ b/morpheus/_lib/doca/include/morpheus/doca/common.hpp
@@ -0,0 +1,61 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include <cstdint>
+#include <memory>
+#include <string>
+#include <type_traits>
+#include <vector>
+
+uint32_t const PACKETS_PER_THREAD   = 4;
+uint32_t const THREADS_PER_BLOCK    = 1024;  // 512
+uint32_t const PACKETS_PER_BLOCK    = PACKETS_PER_THREAD * THREADS_PER_BLOCK;
+uint32_t const PACKET_RX_TIMEOUT_NS = 1000000;  // 1ms //500us
+
+uint32_t const MAX_PKT_RECEIVE = PACKETS_PER_BLOCK;
+uint32_t const MAX_PKT_SIZE    = 4096;
+uint32_t const MAX_PKT_NUM     = 65536;
+uint32_t const MAX_QUEUE       = 4;
+uint32_t const MAX_SEM_X_QUEUE = 32;
+
+enum doca_traffic_type
+{
+    DOCA_TRAFFIC_TYPE_UDP = 0,
+    DOCA_TRAFFIC_TYPE_TCP = 1,
+};
+
+struct packets_info
+{
+    int32_t packet_count_out;
+    int32_t payload_size_total_out;
+
+    char* payload_buffer_out;
+    int32_t* payload_sizes_out;
+
+    int64_t* src_mac_out;
+    int64_t* dst_mac_out;
+    int64_t* src_ip_out;
+    int64_t* dst_ip_out;
+    uint16_t* src_port_out;
+    uint16_t* dst_port_out;
+    int32_t* tcp_flags_out;
+    int32_t* ether_type_out;
+    int32_t* next_proto_id_out;
+    uint32_t* timestamp_out;
+};
\ No newline at end of file
diff --git a/morpheus/_lib/doca/include/doca_context.hpp b/morpheus/_lib/doca/include/morpheus/doca/doca_context.hpp
similarity index 85%
rename from morpheus/_lib/doca/include/doca_context.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/doca_context.hpp
index 4f6a3f739a..018c7aca94 100644
--- a/morpheus/_lib/doca/include/doca_context.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/doca_context.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,16 +17,14 @@
 
 #pragma once
 
-#include "error.hpp"
-#include "rte_context.hpp"
+#include "morpheus/doca/common.hpp"
+#include "morpheus/doca/error.hpp"
+#include "morpheus/doca/rte_context.hpp"
 
 #include <doca_eth_rxq.h>
 #include <doca_flow.h>
 #include <doca_gpunetio.h>
-
-#include <memory>
-#include <string>
-#include <type_traits>
+#include <doca_log.h>
 
 #define GPU_PAGE_SIZE (1UL << 16)
 
@@ -40,11 +38,11 @@ struct DocaContext
   private:
     doca_gpu* m_gpu;
     doca_dev* m_dev;
-    doca_pci_bdf m_pci_bdf;
     doca_flow_port* m_flow_port;
     uint16_t m_nic_port;
     uint32_t m_max_queue_count;
     std::unique_ptr<RTEContext> m_rte_context;
+    doca_log_backend* sdk_log;
 
   public:
     DocaContext(std::string nic_addr, std::string gpu_addr);
diff --git a/morpheus/_lib/doca/include/doca_mem.hpp b/morpheus/_lib/doca/include/morpheus/doca/doca_mem.hpp
similarity index 93%
rename from morpheus/_lib/doca/include/doca_mem.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/doca_mem.hpp
index 255e55e562..a290326529 100644
--- a/morpheus/_lib/doca/include/doca_mem.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/doca_mem.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,8 +17,8 @@
 
 #pragma once
 
-#include "doca_context.hpp"
-#include "error.hpp"
+#include "morpheus/doca/doca_context.hpp"
+#include "morpheus/doca/error.hpp"
 
 #include <doca_gpunetio.h>
 
diff --git a/morpheus/_lib/doca/include/doca_rx_pipe.hpp b/morpheus/_lib/doca/include/morpheus/doca/doca_rx_pipe.hpp
similarity index 77%
rename from morpheus/_lib/doca/include/doca_rx_pipe.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/doca_rx_pipe.hpp
index 45c33d2d4a..4c7940ac22 100644
--- a/morpheus/_lib/doca/include/doca_rx_pipe.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/doca_rx_pipe.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,10 +17,8 @@
 
 #pragma once
 
-#include "doca_context.hpp"
-#include "doca_rx_queue.hpp"
-
-#include <memory>
+#include "morpheus/doca/doca_context.hpp"
+#include "morpheus/doca/doca_rx_queue.hpp"
 
 namespace morpheus::doca {
 
@@ -39,12 +37,15 @@ struct DocaRxPipe
 {
   private:
     std::shared_ptr<DocaContext> m_context;
-    std::shared_ptr<DocaRxQueue> m_rxq;
+    std::vector<std::shared_ptr<morpheus::doca::DocaRxQueue>> m_rxq;
+    enum doca_traffic_type m_traffic_type;
     doca_flow_pipe* m_pipe;
     doca_flow_pipe* m_root_pipe;
 
   public:
-    DocaRxPipe(std::shared_ptr<DocaContext> context, std::shared_ptr<DocaRxQueue> rxq);
+    DocaRxPipe(std::shared_ptr<DocaContext> context,
+               std::vector<std::shared_ptr<morpheus::doca::DocaRxQueue>> rxq,
+               doca_traffic_type const type);
     ~DocaRxPipe();
 };
 
diff --git a/morpheus/_lib/doca/include/doca_rx_queue.hpp b/morpheus/_lib/doca/include/morpheus/doca/doca_rx_queue.hpp
similarity index 84%
rename from morpheus/_lib/doca/include/doca_rx_queue.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/doca_rx_queue.hpp
index 68caf9a7f7..537061954c 100644
--- a/morpheus/_lib/doca/include/doca_rx_queue.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/doca_rx_queue.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,14 +17,12 @@
 
 #pragma once
 
-#include "doca_context.hpp"
-#include "doca_mem.hpp"
+#include "morpheus/doca/doca_context.hpp"
+#include "morpheus/doca/doca_mem.hpp"
 
 #include <doca_eth_rxq.h>
 #include <doca_gpunetio.h>
 
-#include <memory>
-
 namespace morpheus::doca {
 
 /**
@@ -38,9 +36,9 @@ struct DocaRxQueue
     std::shared_ptr<DocaContext> m_context;
     doca_gpu_eth_rxq* m_rxq_info_gpu;
     doca_eth_rxq* m_rxq_info_cpu;
-    doca_mmap* m_packet_buffer;
+    doca_mmap* m_packet_mmap;
     doca_ctx* m_doca_ctx;
-    std::unique_ptr<DocaMem<void>> m_packet_mem;
+    std::unique_ptr<DocaMem<void>> m_packet_memory;
 
   public:
     DocaRxQueue(std::shared_ptr<DocaContext> context);
diff --git a/morpheus/_lib/doca/include/doca_semaphore.hpp b/morpheus/_lib/doca/include/morpheus/doca/doca_semaphore.hpp
similarity index 86%
rename from morpheus/_lib/doca/include/doca_semaphore.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/doca_semaphore.hpp
index 37401b33ec..635455b442 100644
--- a/morpheus/_lib/doca/include/doca_semaphore.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/doca_semaphore.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,9 +17,7 @@
 
 #pragma once
 
-#include "doca_context.hpp"
-
-#include <memory>
+#include "morpheus/doca/doca_context.hpp"
 
 namespace morpheus::doca {
 
@@ -43,6 +41,9 @@ struct DocaSemaphore
 
     doca_gpu_semaphore_gpu* gpu_ptr();
     uint16_t size();
+    void* get_info_cpu(uint32_t idx);
+    bool is_ready(uint32_t idx);
+    void set_free(uint32_t idx);
 };
 
 }  // namespace morpheus::doca
diff --git a/morpheus/_lib/doca/include/doca_source.hpp b/morpheus/_lib/doca/include/morpheus/doca/doca_source.hpp
similarity index 78%
rename from morpheus/_lib/doca/include/doca_source.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/doca_source.hpp
index 1d5d6a98bf..90882d10b5 100644
--- a/morpheus/_lib/doca/include/doca_source.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/doca_source.hpp
@@ -1,5 +1,5 @@
 /**
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,6 +17,7 @@
 
 #pragma once
 
+#include "morpheus/doca/common.hpp"
 #include "morpheus/messages/meta.hpp"
 
 #include <mrc/segment/builder.hpp>
@@ -32,7 +33,6 @@ struct DocaContext;
 struct DocaRxQueue;
 struct DocaRxPipe;
 struct DocaSemaphore;
-
 }  // namespace doca
 
 #pragma GCC visibility push(default)
@@ -49,15 +49,19 @@ class DocaSourceStage : public mrc::pymrc::PythonSource<std::shared_ptr<MessageM
     using typename base_t::source_type_t;
     using typename base_t::subscriber_fn_t;
 
-    DocaSourceStage(std::string const& nic_pci_address, std::string const& gpu_pci_address);
+    DocaSourceStage(std::string const& nic_pci_address,
+                    std::string const& gpu_pci_address,
+                    std::string const& traffic_type);
 
   private:
     subscriber_fn_t build();
 
     std::shared_ptr<morpheus::doca::DocaContext> m_context;
-    std::shared_ptr<morpheus::doca::DocaRxQueue> m_rxq;
+    std::vector<std::shared_ptr<morpheus::doca::DocaRxQueue>> m_rxq;
+    std::vector<std::shared_ptr<morpheus::doca::DocaSemaphore>> m_semaphore;
     std::shared_ptr<morpheus::doca::DocaRxPipe> m_rxpipe;
-    std::shared_ptr<morpheus::doca::DocaSemaphore> m_semaphore;
+    enum doca_traffic_type m_traffic_type;
+    rmm::cuda_stream rstream;
 };
 
 /****** DocaSourceStageInterfaceProxy***********************/
@@ -72,7 +76,8 @@ struct DocaSourceStageInterfaceProxy
     static std::shared_ptr<mrc::segment::Object<DocaSourceStage>> init(mrc::segment::Builder& builder,
                                                                        std::string const& name,
                                                                        std::string const& nic_pci_address,
-                                                                       std::string const& gpu_pci_address);
+                                                                       std::string const& gpu_pci_address,
+                                                                       std::string const& traffic_type);
 };
 
 #pragma GCC visibility pop
diff --git a/morpheus/_lib/doca/include/doca_source_kernels.hpp b/morpheus/_lib/doca/include/morpheus/doca/doca_source_kernels.hpp
similarity index 63%
rename from morpheus/_lib/doca/include/doca_source_kernels.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/doca_source_kernels.hpp
index ffcd7650d3..ffd5714991 100644
--- a/morpheus/_lib/doca/include/doca_source_kernels.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/doca_source_kernels.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -41,24 +41,10 @@ std::unique_ptr<cudf::column> integers_to_mac(
     rmm::cuda_stream_view stream        = cudf::detail::default_stream_value,
     rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
-void packet_receive_kernel(doca_gpu_eth_rxq* rxq_info,
-                           doca_gpu_semaphore_gpu* sem_in,
-                           int32_t sem_count,
-                           int32_t* sem_idx,
-                           int32_t* packet_count_out,
-                           char* payload_buffer_out,
-                           int32_t* payload_size_total_out,
-                           int32_t* payload_sizes_out,
-                           int64_t* src_mac_out,
-                           int64_t* dst_mac_out,
-                           int64_t* src_ip_out,
-                           int64_t* dst_ip_out,
-                           uint16_t* src_port_out,
-                           uint16_t* dst_port_out,
-                           int32_t* tcp_flags_out,
-                           int32_t* ether_type_out,
-                           int32_t* next_proto_id_out,
-                           uint32_t* timestamp_out,
+void packet_receive_kernel(doca_gpu_eth_rxq* rxq,
+                           doca_gpu_semaphore_gpu* sem,
+                           uint16_t sem_idx,
+                           bool is_tcp,
                            uint32_t* exit_condition,
                            cudaStream_t stream);
 
diff --git a/morpheus/_lib/doca/include/error.hpp b/morpheus/_lib/doca/include/morpheus/doca/error.hpp
similarity index 69%
rename from morpheus/_lib/doca/include/error.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/error.hpp
index d6daf3c9c7..db396f1fbc 100644
--- a/morpheus/_lib/doca/include/error.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/error.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,8 +17,9 @@
 
 #pragma once
 
+#include "morpheus/utilities/string_util.hpp"
+
 #include <doca_error.h>
-#include <morpheus/utilities/string_util.hpp>
 
 #include <stdexcept>
 
@@ -38,8 +39,8 @@ namespace detail {
 
 inline void throw_doca_error(doca_error_t error, const char* file, unsigned int line)
 {
-    throw morpheus::DocaError(MORPHEUS_CONCAT_STR(
-        "DOCA error encountered at: " << file << ":" << line << ": " << error << " " << doca_get_error_string(error)));
+    throw morpheus::DocaError(MORPHEUS_CONCAT_STR("DOCA error encountered at: " << file << ":" << line << ": " << error
+                                                                                << " " << doca_error_get_descr(error)));
 }
 
 inline void throw_rte_error(int error, const char* file, unsigned int line)
@@ -51,22 +52,22 @@ inline void throw_rte_error(int error, const char* file, unsigned int line)
 
 }  // namespace morpheus
 
-#define DOCA_TRY(call)                                                      \
+#define DOCA_TRY(call)                                                        \
+    do                                                                        \
+    {                                                                         \
+        doca_error_t ret_doca = (call);                                       \
+        if (DOCA_SUCCESS != ret_doca)                                         \
+        {                                                                     \
+            morpheus::detail::throw_doca_error(ret_doca, __FILE__, __LINE__); \
+        }                                                                     \
+    } while (0);
+
+#define RTE_TRY(call)                                                       \
     do                                                                      \
     {                                                                       \
-        doca_error_t const status = (call);                                 \
-        if (DOCA_SUCCESS != status)                                         \
+        int ret_rte = (call);                                               \
+        if (ret_rte < 0)                                                    \
         {                                                                   \
-            morpheus::detail::throw_doca_error(status, __FILE__, __LINE__); \
+            morpheus::detail::throw_rte_error(ret_rte, __FILE__, __LINE__); \
         }                                                                   \
     } while (0);
-
-#define RTE_TRY(call)                                                      \
-    do                                                                     \
-    {                                                                      \
-        int const status = (call);                                         \
-        if (status < 0)                                                    \
-        {                                                                  \
-            morpheus::detail::throw_rte_error(status, __FILE__, __LINE__); \
-        }                                                                  \
-    } while (0);
diff --git a/morpheus/_lib/doca/include/rte_context.hpp b/morpheus/_lib/doca/include/morpheus/doca/rte_context.hpp
similarity index 93%
rename from morpheus/_lib/doca/include/rte_context.hpp
rename to morpheus/_lib/doca/include/morpheus/doca/rte_context.hpp
index c8c447e14d..28ab636568 100644
--- a/morpheus/_lib/doca/include/rte_context.hpp
+++ b/morpheus/_lib/doca/include/morpheus/doca/rte_context.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/doca/module.cpp b/morpheus/_lib/doca/module.cpp
index 7f3dbce367..4aab98aaa1 100644
--- a/morpheus/_lib/doca/module.cpp
+++ b/morpheus/_lib/doca/module.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-#include "doca_source.hpp"
+#include "morpheus/doca/doca_source.hpp"
 
 #include <mrc/segment/builder.hpp>  // IWYU pragma: keep
 #include <mrc/segment/object.hpp>
@@ -41,7 +41,8 @@ PYBIND11_MODULE(doca, m)
              py::arg("builder"),
              py::arg("name"),
              py::arg("nic_pci_address"),
-             py::arg("gpu_pci_address"));
+             py::arg("gpu_pci_address"),
+             py::arg("traffic_type"));
 }
 
 }  // namespace morpheus
diff --git a/morpheus/_lib/doca/src/doca_context.cpp b/morpheus/_lib/doca/src/doca_context.cpp
index bcb1fdb712..0ec12c3c07 100644
--- a/morpheus/_lib/doca/src/doca_context.cpp
+++ b/morpheus/_lib/doca/src/doca_context.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,11 +15,10 @@
  * limitations under the License.
  */
 
-#include "doca_context.hpp"
-
-#include "common.hpp"
-#include "error.hpp"
+#include "morpheus/doca/doca_context.hpp"
 
+#include "morpheus/doca/common.hpp"
+#include "morpheus/doca/error.hpp"
 #include "morpheus/utilities/error.hpp"
 
 #include <cuda_runtime.h>
@@ -45,86 +44,47 @@ namespace {
 #define FLOW_NB_COUNTERS 524228 /* 1024 x 512 */
 #define MAX_PORT_STR_LEN 128    /* Maximal length of port name */
 
-doca_error_t parse_pci_addr(std::string const& addr, doca_pci_bdf& bdf)
-{
-    uint32_t tmpu;
-
-    auto tmps = std::array<char, 4>();
-
-    if (addr.length() != 7 || addr[2] != ':' || addr[5] != '.')
-        return DOCA_ERROR_INVALID_VALUE;
-
-    tmps[0] = addr[0];
-    tmps[1] = addr[1];
-    tmps[2] = '\0';
-    tmpu    = strtoul(tmps.cbegin(), nullptr, 16);
-
-    if ((tmpu & 0xFFFFFF00) != 0)
-    {
-        return DOCA_ERROR_INVALID_VALUE;
-    }
-
-    bdf.bus = tmpu;
-
-    tmps[0] = addr[3];
-    tmps[1] = addr[4];
-    tmps[2] = '\0';
-    tmpu    = strtoul(tmps.cbegin(), nullptr, 16);
-
-    if ((tmpu & 0xFFFFFFE0) != 0)
-    {
-        return DOCA_ERROR_INVALID_VALUE;
-    }
-
-    bdf.device = tmpu;
-
-    tmps[0] = addr[6];
-    tmps[1] = '\0';
-    tmpu    = strtoul(tmps.cbegin(), nullptr, 16);
-    if ((tmpu & 0xFFFFFFF8) != 0)
-        return DOCA_ERROR_INVALID_VALUE;
-    bdf.function = tmpu;
-
-    return DOCA_SUCCESS;
-}
-
 using jobs_check_t = doca_error_t (*)(doca_devinfo*);
 
-doca_error_t open_doca_device_with_pci(const doca_pci_bdf* value, jobs_check_t func, doca_dev** retval)
+static doca_error_t open_doca_device_with_pci(const char* pcie_value, struct doca_dev** retval)
 {
-    doca_devinfo** dev_list;
+    struct doca_devinfo** dev_list;
     uint32_t nb_devs;
-    doca_pci_bdf buf;
+    doca_error_t res;
     size_t i;
+    uint8_t is_addr_equal = 0;
 
     /* Set default return value */
-    *retval = nullptr;
+    *retval = NULL;
 
-    DOCA_TRY(doca_devinfo_list_create(&dev_list, &nb_devs));
+    res = doca_devinfo_create_list(&dev_list, &nb_devs);
+    if (res != DOCA_SUCCESS)
+    {
+        LOG(ERROR) << "Failed to load doca devices list";
+        return res;
+    }
 
     /* Search */
     for (i = 0; i < nb_devs; i++)
     {
-        DOCA_TRY(doca_devinfo_get_pci_addr(dev_list[i], &buf));
-        if (buf.raw == value->raw)
+        res = doca_devinfo_is_equal_pci_addr(dev_list[i], pcie_value, &is_addr_equal);
+        if (res == DOCA_SUCCESS && is_addr_equal)
         {
-            /* If any special capabilities are needed */
-            if (func != nullptr && func(dev_list[i]) != DOCA_SUCCESS)
-                continue;
-
             /* if device can be opened */
-            auto res = doca_dev_open(dev_list[i], retval);
+            res = doca_dev_open(dev_list[i], retval);
             if (res == DOCA_SUCCESS)
             {
-                doca_devinfo_list_destroy(dev_list);
+                doca_devinfo_destroy_list(dev_list);
                 return res;
             }
         }
     }
 
-    doca_devinfo_list_destroy(dev_list);
+    MORPHEUS_FAIL("Matching device not found");
+    res = DOCA_ERROR_NOT_FOUND;
 
-    return DOCA_ERROR_NOT_FOUND;
+    doca_devinfo_destroy_list(dev_list);
+    return res;
 }
 
 doca_flow_port* init_doca_flow(uint16_t port_id, uint8_t rxq_num)
@@ -136,11 +96,11 @@ doca_flow_port* init_doca_flow(uint16_t port_id, uint8_t rxq_num)
     rte_eth_dev_info dev_info  = {nullptr};
     rte_eth_conf eth_conf      = {
              .rxmode =
-                 {
+            {
                      .mtu = 2048, /* Not really used, just to initialize DPDK */
             },
              .txmode =
-                 {
+            {
                      .offloads = RTE_ETH_TX_OFFLOAD_IPV4_CKSUM | RTE_ETH_TX_OFFLOAD_UDP_CKSUM | RTE_ETH_TX_OFFLOAD_TCP_CKSUM,
             },
     };
@@ -179,7 +139,7 @@ doca_flow_port* init_doca_flow(uint16_t port_id, uint8_t rxq_num)
     RTE_TRY(rte_eth_dev_start(port_id));
 
     /* Initialize doca flow framework */
-    rxq_flow_cfg.queues = rxq_num;
+    rxq_flow_cfg.pipe_queues = rxq_num;
     /*
      * HWS: Hardware steering
      * Isolated: don't create RSS rule for DPDK created RX queues
@@ -203,38 +163,6 @@ doca_flow_port* init_doca_flow(uint16_t port_id, uint8_t rxq_num)
 
 namespace morpheus::doca {
 
-static doca_error_t get_dpdk_port_id_doca_dev(doca_dev* dev_input, uint16_t* port_id)
-{
-    doca_dev* dev_local = nullptr;
-    doca_pci_bdf pci_addr_local;
-    doca_pci_bdf pci_addr_input;
-    uint16_t dpdk_port_id;
-
-    if (dev_input == nullptr || port_id == nullptr)
-        return DOCA_ERROR_INVALID_VALUE;
-
-    *port_id = RTE_MAX_ETHPORTS;
-
-    for (dpdk_port_id = 0; dpdk_port_id < RTE_MAX_ETHPORTS; dpdk_port_id++)
-    {
-        /* search for the probed devices */
-        if (!rte_eth_dev_is_valid_port(dpdk_port_id))
-            continue;
-
-        DOCA_TRY(doca_dpdk_port_as_dev(dpdk_port_id, &dev_local));
-        DOCA_TRY(doca_devinfo_get_pci_addr(doca_dev_as_devinfo(dev_local), &pci_addr_local));
-        DOCA_TRY(doca_devinfo_get_pci_addr(doca_dev_as_devinfo(dev_input), &pci_addr_input));
-
-        if (pci_addr_local.raw == pci_addr_input.raw)
-        {
-            *port_id = dpdk_port_id;
-            break;
-        }
-    }
-
-    return DOCA_SUCCESS;
-}
-
 DocaContext::DocaContext(std::string nic_addr, std::string gpu_addr) : m_max_queue_count(1)
 {
     char* nic_addr_c = new char[nic_addr.size() + 1];
@@ -248,16 +176,13 @@ DocaContext::DocaContext(std::string nic_addr, std::string gpu_addr) : m_max_que
 
     m_rte_context = std::make_unique<RTEContext>();
 
-    DOCA_TRY(parse_pci_addr(nic_addr_c, m_pci_bdf));
-    DOCA_TRY(open_doca_device_with_pci(&m_pci_bdf, nullptr, &m_dev));
-    DOCA_TRY(doca_dpdk_port_probe(m_dev, "dv_flow_en=2"));
-    DOCA_TRY(get_dpdk_port_id_doca_dev(m_dev, &m_nic_port));
-
-    if (m_nic_port == RTE_MAX_ETHPORTS)
-    {
-        throw std::runtime_error("No DPDK port matches the DOCA device");
-    }
+    /* Register a logger backend for internal SDK errors and warnings */
+    // DOCA_TRY(doca_log_backend_create_with_file_sdk(stderr, &sdk_log));
+    // DOCA_TRY(doca_log_backend_set_sdk_level(sdk_log, DOCA_LOG_LEVEL_DEBUG));
 
+    DOCA_TRY(open_doca_device_with_pci(nic_addr_c, &m_dev));
+    DOCA_TRY(doca_dpdk_port_probe(m_dev, "dv_flow_en=2"));
+    DOCA_TRY(doca_dpdk_get_first_port_id(m_dev, &m_nic_port));
     DOCA_TRY(doca_gpu_create(gpu_addr_c, &m_gpu));
 
     m_flow_port = init_doca_flow(m_nic_port, m_max_queue_count);
@@ -273,13 +198,14 @@ DocaContext::DocaContext(std::string nic_addr, std::string gpu_addr) : m_max_que
 
 DocaContext::~DocaContext()
 {
+    doca_flow_port_stop(m_flow_port);
+    doca_flow_destroy();
+
     if (m_gpu != nullptr)
     {
         auto doca_ret = doca_gpu_destroy(m_gpu);
         if (doca_ret != DOCA_SUCCESS)
-        {
             LOG(WARNING) << "DOCA cleanup failed (" << doca_ret << ")" << std::endl;
-        }
     }
 }
 
diff --git a/morpheus/_lib/doca/src/doca_rx_pipe.cpp b/morpheus/_lib/doca/src/doca_rx_pipe.cpp
index f5bf67a118..32f00253a2 100644
--- a/morpheus/_lib/doca/src/doca_rx_pipe.cpp
+++ b/morpheus/_lib/doca/src/doca_rx_pipe.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,53 +15,72 @@
  * limitations under the License.
  */
 
-#include "doca_rx_pipe.hpp"
+#include "morpheus/doca/doca_rx_pipe.hpp"
 
 #include <glog/logging.h>
 #include <netinet/in.h>
 
 namespace morpheus::doca {
 
-DocaRxPipe::DocaRxPipe(std::shared_ptr<DocaContext> context, std::shared_ptr<DocaRxQueue> rxq) :
+/* Create more Queues/Different Flows */
+DocaRxPipe::DocaRxPipe(std::shared_ptr<DocaContext> context,
+                       std::vector<std::shared_ptr<morpheus::doca::DocaRxQueue>> rxq,
+                       enum doca_traffic_type const type) :
   m_context(context),
   m_rxq(rxq),
+  m_traffic_type(type),
   m_pipe(nullptr)
 {
-    auto rss_queues = std::array<uint16_t, 1>();
-    doca_eth_rxq_get_flow_queue_id(rxq->rxq_info_cpu(), &(rss_queues[0]));
+    auto rss_queues = std::array<uint16_t, MAX_QUEUE>();
+    for (int idx = 0; idx < m_rxq.size(); idx++)
+        doca_eth_rxq_get_flow_queue_id(m_rxq[idx]->rxq_info_cpu(), &(rss_queues[idx]));
 
     doca_flow_match match_mask{0};
     doca_flow_match match{};
-    match.outer.l3_type        = DOCA_FLOW_L3_TYPE_IP4;
-    match.outer.ip4.next_proto = IPPROTO_TCP;
-    match.outer.l4_type_ext    = DOCA_FLOW_L4_TYPE_EXT_TCP;
+    match.outer.l3_type = DOCA_FLOW_L3_TYPE_IP4;
+    if (m_traffic_type == DOCA_TRAFFIC_TYPE_TCP)
+    {
+        match.outer.ip4.next_proto = IPPROTO_TCP;
+        match.outer.l4_type_ext    = DOCA_FLOW_L4_TYPE_EXT_TCP;
+    }
+    else
+    {
+        match.outer.ip4.next_proto = IPPROTO_UDP;
+        match.outer.l4_type_ext    = DOCA_FLOW_L4_TYPE_EXT_UDP;
+    }
 
     doca_flow_fwd fwd{};
-    fwd.type            = DOCA_FLOW_FWD_RSS;
-    fwd.rss_outer_flags = DOCA_FLOW_RSS_IPV4 | DOCA_FLOW_RSS_TCP;
-    fwd.rss_queues      = rss_queues.begin();
-    fwd.num_of_queues   = 1;
+    fwd.type = DOCA_FLOW_FWD_RSS;
+
+    if (m_traffic_type == DOCA_TRAFFIC_TYPE_TCP)
+        fwd.rss_outer_flags = DOCA_FLOW_RSS_IPV4 | DOCA_FLOW_RSS_TCP;
+    else
+        fwd.rss_outer_flags = DOCA_FLOW_RSS_IPV4 | DOCA_FLOW_RSS_UDP;
+    fwd.rss_queues    = rss_queues.begin();
+    fwd.num_of_queues = m_rxq.size();
 
     doca_flow_fwd miss_fwd{};
     miss_fwd.type = DOCA_FLOW_FWD_DROP;
 
     doca_flow_monitor monitor{};
-    monitor.flags = DOCA_FLOW_MONITOR_COUNT;
+    monitor.counter_type = DOCA_FLOW_RESOURCE_TYPE_NON_SHARED;
 
     doca_flow_pipe_cfg pipe_cfg{};
-    pipe_cfg.attr.name       = "GPU_RXQ_TCP_PIPE";
-    pipe_cfg.attr.type       = DOCA_FLOW_PIPE_BASIC;
-    pipe_cfg.attr.nb_actions = 0;
-    pipe_cfg.attr.is_root    = false;
-    pipe_cfg.match           = &match;
-    pipe_cfg.match_mask      = &match_mask;
-    pipe_cfg.monitor         = &monitor;
-    pipe_cfg.port            = context->flow_port();
+    pipe_cfg.attr.name                   = "GPU_RXQ_PIPE";
+    pipe_cfg.attr.enable_strict_matching = true;
+    pipe_cfg.attr.type                   = DOCA_FLOW_PIPE_BASIC;
+    pipe_cfg.attr.nb_actions             = 0;
+    pipe_cfg.attr.is_root                = false;
+    pipe_cfg.match                       = &match;
+    pipe_cfg.match_mask                  = &match_mask;
+    pipe_cfg.monitor                     = &monitor;
+    pipe_cfg.port                        = context->flow_port();
 
     DOCA_TRY(doca_flow_pipe_create(&pipe_cfg, &fwd, &miss_fwd, &m_pipe));
 
     doca_flow_pipe_entry* placeholder_entry = nullptr;
-    DOCA_TRY(doca_flow_pipe_add_entry(0, m_pipe, nullptr, nullptr, nullptr, nullptr, 0, nullptr, &placeholder_entry));
+    DOCA_TRY(doca_flow_pipe_add_entry(
+        0, m_pipe, &match, nullptr, nullptr, nullptr, DOCA_FLOW_NO_WAIT, nullptr, &placeholder_entry));
     DOCA_TRY(doca_flow_entries_process(context->flow_port(), 0, 0, 0));
 
     uint32_t priority_high = 1;
@@ -69,37 +88,50 @@ DocaRxPipe::DocaRxPipe(std::shared_ptr<DocaContext> context, std::shared_ptr<Doc
 
     doca_flow_match root_match_mask = {0};
     doca_flow_monitor root_monitor  = {};
-    root_monitor.flags              = DOCA_FLOW_MONITOR_COUNT;
+    root_monitor.counter_type       = DOCA_FLOW_RESOURCE_TYPE_NON_SHARED;
 
-    doca_flow_pipe_cfg root_pipe_cfg = {};
-    root_pipe_cfg.attr.name          = "ROOT_PIPE";
-    root_pipe_cfg.attr.is_root       = true;
-    root_pipe_cfg.attr.type          = DOCA_FLOW_PIPE_CONTROL;
-    root_pipe_cfg.monitor            = &root_monitor;
-    root_pipe_cfg.match_mask         = &root_match_mask;
-    root_pipe_cfg.port               = context->flow_port();
+    doca_flow_pipe_cfg root_pipe_cfg          = {};
+    root_pipe_cfg.attr.name                   = "ROOT_PIPE";
+    root_pipe_cfg.attr.enable_strict_matching = true;
+    root_pipe_cfg.attr.is_root                = true;
+    root_pipe_cfg.attr.type                   = DOCA_FLOW_PIPE_CONTROL;
+    root_pipe_cfg.monitor                     = &root_monitor;
+    root_pipe_cfg.match_mask                  = &root_match_mask;
+    root_pipe_cfg.port                        = context->flow_port();
 
     DOCA_TRY(doca_flow_pipe_create(&root_pipe_cfg, nullptr, nullptr, &m_root_pipe));
 
-    struct doca_flow_match tcp_match_gpu = {};
-    tcp_match_gpu.outer.l3_type          = DOCA_FLOW_L3_TYPE_IP4;
-    tcp_match_gpu.outer.l4_type_ext      = DOCA_FLOW_L4_TYPE_EXT_TCP;
-
-    struct doca_flow_fwd tcp_fwd_gpu = {};
-    tcp_fwd_gpu.type                 = DOCA_FLOW_FWD_PIPE;
-    tcp_fwd_gpu.next_pipe            = m_pipe;
-
+    struct doca_flow_match root_match_gpu = {};
+    struct doca_flow_fwd root_fwd_gpu     = {};
     doca_flow_pipe_entry* root_tcp_entry_gpu;
 
+    if (m_traffic_type == DOCA_TRAFFIC_TYPE_TCP)
+    {
+        root_match_gpu.outer.l3_type     = DOCA_FLOW_L3_TYPE_IP4;
+        root_match_gpu.outer.l4_type_ext = DOCA_FLOW_L4_TYPE_EXT_TCP;
+        root_fwd_gpu.type                = DOCA_FLOW_FWD_PIPE;
+        root_fwd_gpu.next_pipe           = m_pipe;
+    }
+    else
+    {
+        root_match_gpu.outer.l3_type     = DOCA_FLOW_L3_TYPE_IP4;
+        root_match_gpu.outer.l4_type_ext = DOCA_FLOW_L4_TYPE_EXT_UDP;
+        root_fwd_gpu.type                = DOCA_FLOW_FWD_PIPE;
+        root_fwd_gpu.next_pipe           = m_pipe;
+    }
+
     DOCA_TRY(doca_flow_pipe_control_add_entry(0,
-                                              priority_low,
+                                              0, /*priority_low,*/
                                               m_root_pipe,
-                                              &tcp_match_gpu,
+                                              &root_match_gpu,
+                                              nullptr,
+                                              nullptr,
+                                              nullptr,
                                               nullptr,
                                               nullptr,
                                               nullptr,
+                                              &root_fwd_gpu,
                                               nullptr,
-                                              &tcp_fwd_gpu,
                                               &root_tcp_entry_gpu));
 
     DOCA_TRY(doca_flow_entries_process(context->flow_port(), 0, 0, 0));
diff --git a/morpheus/_lib/doca/src/doca_rx_queue.cpp b/morpheus/_lib/doca/src/doca_rx_queue.cpp
index 7d41796e67..5b802e871d 100644
--- a/morpheus/_lib/doca/src/doca_rx_queue.cpp
+++ b/morpheus/_lib/doca/src/doca_rx_queue.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,11 +15,10 @@
  * limitations under the License.
  */
 
-#include "doca_rx_queue.hpp"
-
-#include "common.hpp"
-#include "error.hpp"
+#include "morpheus/doca/doca_rx_queue.hpp"
 
+#include "morpheus/doca/common.hpp"
+#include "morpheus/doca/error.hpp"
 #include "morpheus/utilities/error.hpp"
 
 #include <glog/logging.h>
@@ -30,32 +29,29 @@ DocaRxQueue::DocaRxQueue(std::shared_ptr<DocaContext> context) :
   m_context(context),
   m_rxq_info_gpu(nullptr),
   m_rxq_info_cpu(nullptr),
-  m_packet_buffer(nullptr),
+  m_packet_mmap(nullptr),
   m_doca_ctx(nullptr)
 {
-    DOCA_TRY(doca_eth_rxq_create(&m_rxq_info_cpu));
-    DOCA_TRY(doca_eth_rxq_set_num_packets(m_rxq_info_cpu, MAX_PKT_NUM));
-    DOCA_TRY(doca_eth_rxq_set_max_packet_size(m_rxq_info_cpu, MAX_PKT_SIZE));
     uint32_t cyclic_buffer_size;
-    DOCA_TRY(doca_eth_rxq_get_pkt_buffer_size(m_rxq_info_cpu, &cyclic_buffer_size));
-    DOCA_TRY(doca_mmap_create(nullptr, &m_packet_buffer));
-    DOCA_TRY(doca_mmap_dev_add(m_packet_buffer, context->dev()));
+    DOCA_TRY(doca_eth_rxq_create(context->dev(), MAX_PKT_NUM, MAX_PKT_SIZE, &(m_rxq_info_cpu)));
+    DOCA_TRY(doca_eth_rxq_set_type(m_rxq_info_cpu, DOCA_ETH_RXQ_TYPE_CYCLIC));
+    DOCA_TRY(doca_eth_rxq_estimate_packet_buf_size(
+        DOCA_ETH_RXQ_TYPE_CYCLIC, 0, 0, MAX_PKT_SIZE, MAX_PKT_NUM, 0, &cyclic_buffer_size));
+    DOCA_TRY(doca_mmap_create(&m_packet_mmap));
+    DOCA_TRY(doca_mmap_add_dev(m_packet_mmap, context->dev()));
 
-    m_packet_mem = std::make_unique<DocaMem<void>>(m_context, cyclic_buffer_size, DOCA_GPU_MEM_GPU);
+    m_packet_memory = std::make_unique<DocaMem<void>>(m_context, cyclic_buffer_size, DOCA_GPU_MEM_TYPE_GPU);
 
-    DOCA_TRY(doca_mmap_set_memrange(m_packet_buffer, m_packet_mem->gpu_ptr(), cyclic_buffer_size));
-    DOCA_TRY(doca_mmap_set_permissions(m_packet_buffer, DOCA_ACCESS_LOCAL_READ_WRITE));
-    DOCA_TRY(doca_mmap_start(m_packet_buffer));
-    DOCA_TRY(doca_eth_rxq_set_pkt_buffer(m_rxq_info_cpu, m_packet_buffer, 0, cyclic_buffer_size));
+    DOCA_TRY(doca_mmap_set_memrange(m_packet_mmap, m_packet_memory->gpu_ptr(), cyclic_buffer_size));
+    DOCA_TRY(doca_mmap_set_permissions(m_packet_mmap, DOCA_ACCESS_FLAG_LOCAL_READ_WRITE));
+    DOCA_TRY(doca_mmap_start(m_packet_mmap));
+    DOCA_TRY(doca_eth_rxq_set_pkt_buf(m_rxq_info_cpu, m_packet_mmap, 0, cyclic_buffer_size));
 
     m_doca_ctx = doca_eth_rxq_as_doca_ctx(m_rxq_info_cpu);
 
     if (m_doca_ctx == nullptr)
-    {
         MORPHEUS_FAIL("unable to rxq as doca ctx ?");
-    }
 
-    DOCA_TRY(doca_ctx_dev_add(m_doca_ctx, context->dev()));
     DOCA_TRY(doca_ctx_set_datapath_on_gpu(m_doca_ctx, context->gpu()));
     DOCA_TRY(doca_ctx_start(m_doca_ctx));
     DOCA_TRY(doca_eth_rxq_get_gpu_handle(m_rxq_info_cpu, &m_rxq_info_gpu));
@@ -63,31 +59,24 @@ DocaRxQueue::DocaRxQueue(std::shared_ptr<DocaContext> context) :
 
 DocaRxQueue::~DocaRxQueue()
 {
-    if (m_doca_ctx != nullptr)
-    {
-        auto doca_ret = doca_ctx_dev_rm(m_doca_ctx, m_context->dev());
-        if (doca_ret != DOCA_SUCCESS)
-        {
-            LOG(WARNING) << "doca_ctx_dev_rm failed (" << doca_ret << ")" << std::endl;
-        }
-    }
+    doca_error_t doca_ret;
 
     if (m_rxq_info_cpu != nullptr)
     {
-        auto doca_ret = doca_eth_rxq_destroy(m_rxq_info_cpu);
+        doca_ret = doca_ctx_stop(m_doca_ctx);
+        if (doca_ret != DOCA_SUCCESS)
+            LOG(WARNING) << "doca_eth_rxq_destroy failed (" << doca_ret << ")" << std::endl;
+
+        doca_ret = doca_eth_rxq_destroy(m_rxq_info_cpu);
         if (doca_ret != DOCA_SUCCESS)
-        {
             LOG(WARNING) << "doca_eth_rxq_destroy failed (" << doca_ret << ")" << std::endl;
-        }
     }
 
-    if (m_packet_buffer != nullptr)
+    if (m_packet_mmap != nullptr)
     {
-        auto doca_ret = doca_mmap_destroy(m_packet_buffer);
+        doca_ret = doca_mmap_destroy(m_packet_mmap);
         if (doca_ret != DOCA_SUCCESS)
-        {
             LOG(WARNING) << "doca_mmap_destroy failed (" << doca_ret << ")" << std::endl;
-        }
     }
 }
 
diff --git a/morpheus/_lib/doca/src/doca_semaphore.cpp b/morpheus/_lib/doca/src/doca_semaphore.cpp
index 9d953313ef..d0da096d7c 100644
--- a/morpheus/_lib/doca/src/doca_semaphore.cpp
+++ b/morpheus/_lib/doca/src/doca_semaphore.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-#include "doca_semaphore.hpp"
+#include "morpheus/doca/doca_semaphore.hpp"
 
 namespace morpheus::doca {
 
@@ -24,8 +24,10 @@ DocaSemaphore::DocaSemaphore(std::shared_ptr<DocaContext> context, uint16_t size
   m_size(size)
 {
     DOCA_TRY(doca_gpu_semaphore_create(m_context->gpu(), &m_semaphore));
-    DOCA_TRY(doca_gpu_semaphore_set_memory_type(m_semaphore, DOCA_GPU_MEM_CPU_GPU));
+    DOCA_TRY(doca_gpu_semaphore_set_memory_type(m_semaphore, DOCA_GPU_MEM_TYPE_CPU_GPU));
     DOCA_TRY(doca_gpu_semaphore_set_items_num(m_semaphore, size));
+    DOCA_TRY(doca_gpu_semaphore_set_custom_info(
+        m_semaphore, sizeof(struct packets_info), DOCA_GPU_MEM_TYPE_CPU_GPU));  // GPU_CPU
     DOCA_TRY(doca_gpu_semaphore_start(m_semaphore));
     DOCA_TRY(doca_gpu_semaphore_get_gpu_handle(m_semaphore, &m_semaphore_gpu));
 }
@@ -45,4 +47,25 @@ uint16_t DocaSemaphore::size()
     return m_size;
 }
 
+void* DocaSemaphore::get_info_cpu(uint32_t idx)
+{
+    void* addr;
+    DOCA_TRY(doca_gpu_semaphore_get_custom_info_addr(m_semaphore, idx, (void**)&(addr)));
+    return addr;
+}
+
+bool DocaSemaphore::is_ready(uint32_t idx)
+{
+    doca_gpu_semaphore_status status;
+    DOCA_TRY(doca_gpu_semaphore_get_status(m_semaphore, idx, &status));
+    return (status == DOCA_GPU_SEMAPHORE_STATUS_READY) ? true : false;
+}
+
+void DocaSemaphore::set_free(uint32_t idx)
+{
+    doca_gpu_semaphore_status status;
+    DOCA_TRY(doca_gpu_semaphore_set_status(m_semaphore, idx, DOCA_GPU_SEMAPHORE_STATUS_FREE));
+    return;
+}
+
 }  // namespace morpheus::doca
diff --git a/morpheus/_lib/doca/src/doca_source.cpp b/morpheus/_lib/doca/src/doca_source.cpp
index d264a9b00c..b855f82dcc 100644
--- a/morpheus/_lib/doca/src/doca_source.cpp
+++ b/morpheus/_lib/doca/src/doca_source.cpp
@@ -1,5 +1,5 @@
 /**
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-#include "doca_source.hpp"
+#include "morpheus/doca/doca_source.hpp"
 
-#include "common.hpp"
-#include "doca_context.hpp"
-#include "doca_rx_pipe.hpp"
-#include "doca_rx_queue.hpp"
-#include "doca_semaphore.hpp"
-#include "doca_source_kernels.hpp"
+#include "morpheus/doca/doca_context.hpp"
+#include "morpheus/doca/doca_rx_pipe.hpp"
+#include "morpheus/doca/doca_rx_queue.hpp"
+#include "morpheus/doca/doca_semaphore.hpp"
+#include "morpheus/doca/doca_source_kernels.hpp"
+#include "morpheus/utilities/error.hpp"
 
 #include <cudf/column/column_factories.hpp>
 #include <cudf/column/column_view.hpp>
@@ -68,52 +68,137 @@ std::optional<uint32_t> ip_to_int(std::string const& ip_address)
     return std::nullopt;
 }
 
+#define debug_get_timestamp(ts) clock_gettime(CLOCK_REALTIME, (ts))
+
 namespace morpheus {
 
-DocaSourceStage::DocaSourceStage(std::string const& nic_pci_address, std::string const& gpu_pci_address) :
+DocaSourceStage::DocaSourceStage(std::string const& nic_pci_address,
+                                 std::string const& gpu_pci_address,
+                                 std::string const& traffic_type) :
   PythonSource(build())
 {
     m_context = std::make_shared<morpheus::doca::DocaContext>(nic_pci_address, gpu_pci_address);
 
-    m_rxq       = std::make_shared<morpheus::doca::DocaRxQueue>(m_context);
-    m_semaphore = std::make_shared<morpheus::doca::DocaSemaphore>(m_context, 1024);
-    m_rxpipe    = std::make_shared<morpheus::doca::DocaRxPipe>(m_context, m_rxq);
+    m_traffic_type = DOCA_TRAFFIC_TYPE_UDP;
+    if (traffic_type == "tcp")
+        m_traffic_type = DOCA_TRAFFIC_TYPE_TCP;
+
+    m_rxq.reserve(MAX_QUEUE);
+    m_semaphore.reserve(MAX_QUEUE);
+    for (int idx = 0; idx < MAX_QUEUE; idx++)
+    {
+        m_rxq.push_back(std::make_shared<morpheus::doca::DocaRxQueue>(m_context));
+        m_semaphore.push_back(std::make_shared<morpheus::doca::DocaSemaphore>(m_context, MAX_SEM_X_QUEUE));
+    }
+
+    m_rxpipe = std::make_shared<morpheus::doca::DocaRxPipe>(m_context, m_rxq, m_traffic_type);
+}
+
+static uint64_t now_ns()
+{
+    struct timespec t;
+    if (clock_gettime(CLOCK_REALTIME, &t) != 0)
+        return 0;
+    return (uint64_t)t.tv_nsec + (uint64_t)t.tv_sec * 1000 * 1000 * 1000;
 }
 
 DocaSourceStage::subscriber_fn_t DocaSourceStage::build()
 {
     return [this](rxcpp::subscriber<source_type_t> output) {
-        auto semaphore_idx_d      = rmm::device_scalar<int32_t>(0, rmm::cuda_stream_default);
-        auto packet_count_d       = rmm::device_scalar<int32_t>(0, rmm::cuda_stream_default);
-        auto payload_buffer_d     = rmm::device_uvector<char>(MAX_PKT_RECEIVE * MAX_PKT_SIZE, rmm::cuda_stream_default);
-        auto payload_size_total_d = rmm::device_scalar<int32_t>(0, rmm::cuda_stream_default);
-        auto payload_sizes_d      = rmm::device_uvector<int32_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-
-        auto src_mac_out_d       = rmm::device_uvector<int64_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto dst_mac_out_d       = rmm::device_uvector<int64_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto src_ip_out_d        = rmm::device_uvector<int64_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto dst_ip_out_d        = rmm::device_uvector<int64_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto src_port_out_d      = rmm::device_uvector<uint16_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto dst_port_out_d      = rmm::device_uvector<uint16_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto tcp_flags_out_d     = rmm::device_uvector<int32_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto ether_type_out_d    = rmm::device_uvector<int32_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto next_proto_id_out_d = rmm::device_uvector<int32_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto timestamp_out_d     = rmm::device_uvector<uint32_t>(MAX_PKT_RECEIVE, rmm::cuda_stream_default);
-        auto exit_condition = std::make_unique<morpheus::doca::DocaMem<uint32_t>>(m_context, 1, DOCA_GPU_MEM_GPU_CPU);
-
-        auto fixed_width_inputs_table_view = cudf::table_view(std::vector<cudf::column_view>{
-            cudf::column_view(cudf::device_span<const int64_t>(src_mac_out_d)),
-            cudf::column_view(cudf::device_span<const int64_t>(dst_mac_out_d)),
-            cudf::column_view(cudf::device_span<const int64_t>(src_ip_out_d)),
-            cudf::column_view(cudf::device_span<const int64_t>(dst_ip_out_d)),
-            cudf::column_view(cudf::device_span<const uint16_t>(src_port_out_d)),
-            cudf::column_view(cudf::device_span<const uint16_t>(dst_port_out_d)),
-            cudf::column_view(cudf::device_span<const int32_t>(tcp_flags_out_d)),
-            cudf::column_view(cudf::device_span<const int32_t>(ether_type_out_d)),
-            cudf::column_view(cudf::device_span<const int32_t>(next_proto_id_out_d)),
-            cudf::column_view(cudf::device_span<const uint32_t>(timestamp_out_d)),
+        struct packets_info* pkt_ptr;
+        int sem_idx          = 0;
+        cudaStream_t rstream = nullptr;
+        cudaStream_t pstream = nullptr;
+        cudf::table_view* fixed_width_inputs_table_view[MAX_SEM_X_QUEUE];
+
+        std::vector<rmm::device_uvector<char>> payload_buffer_d;
+        std::vector<rmm::device_uvector<int32_t>> payload_sizes_d;
+        std::vector<rmm::device_uvector<int64_t>> src_mac_out_d;
+        std::vector<rmm::device_uvector<int64_t>> dst_mac_out_d;
+        std::vector<rmm::device_uvector<int64_t>> src_ip_out_d;
+        std::vector<rmm::device_uvector<int64_t>> dst_ip_out_d;
+        std::vector<rmm::device_uvector<uint16_t>> src_port_out_d;
+        std::vector<rmm::device_uvector<uint16_t>> dst_port_out_d;
+        std::vector<rmm::device_uvector<int32_t>> tcp_flags_out_d;
+        std::vector<rmm::device_uvector<int32_t>> ether_type_out_d;
+        std::vector<rmm::device_uvector<int32_t>> next_proto_id_out_d;
+        std::vector<rmm::device_uvector<uint32_t>> timestamp_out_d;
+
+        int thread_idx = mrc::runnable::Context::get_runtime_context().rank();
+
+        if (thread_idx >= MAX_QUEUE)
+        {
+            MORPHEUS_FAIL("More CPU threads than allowed queues");
+        }
+
+        payload_buffer_d.reserve(MAX_SEM_X_QUEUE);
+        payload_sizes_d.reserve(MAX_SEM_X_QUEUE);
+        src_mac_out_d.reserve(MAX_SEM_X_QUEUE);
+        dst_mac_out_d.reserve(MAX_SEM_X_QUEUE);
+        src_ip_out_d.reserve(MAX_SEM_X_QUEUE);
+        dst_ip_out_d.reserve(MAX_SEM_X_QUEUE);
+        src_port_out_d.reserve(MAX_SEM_X_QUEUE);
+        dst_port_out_d.reserve(MAX_SEM_X_QUEUE);
+        tcp_flags_out_d.reserve(MAX_SEM_X_QUEUE);
+        ether_type_out_d.reserve(MAX_SEM_X_QUEUE);
+        next_proto_id_out_d.reserve(MAX_SEM_X_QUEUE);
+        timestamp_out_d.reserve(MAX_SEM_X_QUEUE);
+
+        // Dedicated CUDA stream for the receiver kernel
+        cudaStreamCreateWithFlags(&rstream, cudaStreamNonBlocking);
+        cudaStreamCreateWithFlags(&pstream, cudaStreamNonBlocking);
+        auto pstream_cpp = rmm::cuda_stream_view(reinterpret_cast<cudaStream_t>(pstream));
+        mrc::Unwinder ensure_cleanup([rstream, pstream]() {
+            // Ensure that the stream gets cleaned up even if we error
+            cudaStreamDestroy(rstream);
+            cudaStreamDestroy(pstream);
         });
 
+        for (int idxs = 0; idxs < MAX_SEM_X_QUEUE; idxs++)
+        {
+            payload_buffer_d.push_back(rmm::device_uvector<char>(MAX_PKT_RECEIVE * MAX_PKT_SIZE, pstream_cpp));
+            payload_sizes_d.push_back(rmm::device_uvector<int32_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            src_mac_out_d.push_back(rmm::device_uvector<int64_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            dst_mac_out_d.push_back(rmm::device_uvector<int64_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            src_ip_out_d.push_back(rmm::device_uvector<int64_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            dst_ip_out_d.push_back(rmm::device_uvector<int64_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            src_port_out_d.push_back(rmm::device_uvector<uint16_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            dst_port_out_d.push_back(rmm::device_uvector<uint16_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            tcp_flags_out_d.push_back(rmm::device_uvector<int32_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            ether_type_out_d.push_back(rmm::device_uvector<int32_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            next_proto_id_out_d.push_back(rmm::device_uvector<int32_t>(MAX_PKT_RECEIVE, pstream_cpp));
+            timestamp_out_d.push_back(rmm::device_uvector<uint32_t>(MAX_PKT_RECEIVE, pstream_cpp));
+
+            pkt_ptr = static_cast<struct packets_info*>(m_semaphore[thread_idx]->get_info_cpu(idxs));
+            pkt_ptr->payload_buffer_out = payload_buffer_d[idxs].data();
+            pkt_ptr->payload_sizes_out  = payload_sizes_d[idxs].data();
+            pkt_ptr->src_mac_out        = src_mac_out_d[idxs].data();
+            pkt_ptr->dst_mac_out        = dst_mac_out_d[idxs].data();
+            pkt_ptr->src_ip_out         = src_ip_out_d[idxs].data();
+            pkt_ptr->dst_ip_out         = dst_ip_out_d[idxs].data();
+            pkt_ptr->src_port_out       = src_port_out_d[idxs].data();
+            pkt_ptr->dst_port_out       = dst_port_out_d[idxs].data();
+            pkt_ptr->tcp_flags_out      = tcp_flags_out_d[idxs].data();
+            pkt_ptr->ether_type_out     = ether_type_out_d[idxs].data();
+            pkt_ptr->next_proto_id_out  = next_proto_id_out_d[idxs].data();
+            pkt_ptr->timestamp_out      = timestamp_out_d[idxs].data();
+
+            fixed_width_inputs_table_view[idxs] = new cudf::table_view(std::vector<cudf::column_view>{
+                cudf::column_view(cudf::device_span<const int64_t>(src_mac_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const int64_t>(dst_mac_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const int64_t>(src_ip_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const int64_t>(dst_ip_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const uint16_t>(src_port_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const uint16_t>(dst_port_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const int32_t>(tcp_flags_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const int32_t>(ether_type_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const int32_t>(next_proto_id_out_d[idxs])),
+                cudf::column_view(cudf::device_span<const uint32_t>(timestamp_out_d[idxs])),
+            });
+        }
+
+        auto exit_condition =
+            std::make_unique<morpheus::doca::DocaMem<uint32_t>>(m_context, 1, DOCA_GPU_MEM_TYPE_GPU_CPU);
         DOCA_GPUNETIO_VOLATILE(*(exit_condition->cpu_ptr())) = 0;
 
         auto cancel_thread = std::thread([&] {
@@ -129,97 +214,134 @@ DocaSourceStage::subscriber_fn_t DocaSourceStage::build()
                 continue;
             }
 
-            morpheus::doca::packet_receive_kernel(m_rxq->rxq_info_gpu(),
-                                                  m_semaphore->gpu_ptr(),
-                                                  m_semaphore->size(),
-                                                  semaphore_idx_d.data(),
-                                                  packet_count_d.data(),
-                                                  payload_buffer_d.data(),
-                                                  payload_size_total_d.data(),
-                                                  payload_sizes_d.data(),
-                                                  src_mac_out_d.data(),
-                                                  dst_mac_out_d.data(),
-                                                  src_ip_out_d.data(),
-                                                  dst_ip_out_d.data(),
-                                                  src_port_out_d.data(),
-                                                  dst_port_out_d.data(),
-                                                  tcp_flags_out_d.data(),
-                                                  ether_type_out_d.data(),
-                                                  next_proto_id_out_d.data(),
-                                                  timestamp_out_d.data(),
+            // printf("Launching kernel with idx0 %d idx1 %d idx2 %d\n", sem_idx[0], sem_idx[1], sem_idx[2]);
+            // const auto start_kernel = now_ns();
+            morpheus::doca::packet_receive_kernel(m_rxq[thread_idx]->rxq_info_gpu(),
+                                                  m_semaphore[thread_idx]->gpu_ptr(),
+                                                  sem_idx,
+                                                  (m_traffic_type == DOCA_TRAFFIC_TYPE_TCP) ? true : false,
                                                   exit_condition->gpu_ptr(),
-                                                  rmm::cuda_stream_default);
-
-            cudaStreamSynchronize(rmm::cuda_stream_default);
-
-            auto packet_count = packet_count_d.value(rmm::cuda_stream_default);
+                                                  rstream);
+            cudaStreamSynchronize(rstream);
 
-            if (packet_count == 0)
+            if (m_semaphore[thread_idx]->is_ready(sem_idx))
             {
-                continue;
-            }
-
-            auto payload_size_total = payload_size_total_d.value(rmm::cuda_stream_default);
-
-            // gather payload data
-
-            auto payload_col = doca::gather_payload(packet_count, payload_buffer_d.data(), payload_sizes_d.data());
-
-            auto iota_col = [packet_count]() {
-                using scalar_type_t = cudf::scalar_type_t<uint32_t>;
-                auto zero = cudf::make_numeric_scalar(cudf::data_type(cudf::data_type{cudf::type_to_id<uint32_t>()}));
-                static_cast<scalar_type_t*>(zero.get())->set_value(0);
-                zero->set_valid_async(false);
-                return cudf::sequence(packet_count, *zero);
-            }();
-
-            auto gathered_table    = cudf::gather(fixed_width_inputs_table_view, iota_col->view());
-            auto gathered_metadata = cudf::io::table_metadata();
-            auto gathered_columns  = gathered_table->release();
-
-            // post-processing for mac addresses
-            auto src_mac_col     = gathered_columns[0].release();
-            auto src_mac_str_col = morpheus::doca::integers_to_mac(src_mac_col->view());
-            gathered_columns[0].reset(src_mac_str_col.release());
+                // const auto start = now_ns();
+                // LOG(WARNING) << "CPU READY sem " << idxs << " queue " << thread_idx << std::endl;
 
-            auto dst_mac_col     = gathered_columns[1].release();
-            auto dst_mac_str_col = morpheus::doca::integers_to_mac(dst_mac_col->view());
-            gathered_columns[1].reset(dst_mac_str_col.release());
+                pkt_ptr = static_cast<struct packets_info*>(m_semaphore[thread_idx]->get_info_cpu(sem_idx));
 
-            // post-processing for ip addresses
-            auto src_ip_col     = gathered_columns[2].release();
-            auto src_ip_str_col = cudf::strings::integers_to_ipv4(src_ip_col->view());
-            gathered_columns[2].reset(src_ip_str_col.release());
+                // const auto table_stop = now_ns();
 
-            auto dst_ip_col     = gathered_columns[3].release();
-            auto dst_ip_str_col = cudf::strings::integers_to_ipv4(dst_ip_col->view());
-            gathered_columns[3].reset(dst_ip_str_col.release());
-
-            gathered_columns.emplace_back(std::move(payload_col));
-
-            // assemble metadata
-            gathered_metadata.schema_info.emplace_back("src_mac");
-            gathered_metadata.schema_info.emplace_back("dst_mac");
-            gathered_metadata.schema_info.emplace_back("src_ip");
-            gathered_metadata.schema_info.emplace_back("dst_ip");
-            gathered_metadata.schema_info.emplace_back("src_port");
-            gathered_metadata.schema_info.emplace_back("dst_port");
-            gathered_metadata.schema_info.emplace_back("tcp_flags");
-            gathered_metadata.schema_info.emplace_back("ether_type");
-            gathered_metadata.schema_info.emplace_back("next_proto");
-            gathered_metadata.schema_info.emplace_back("timestamp");
-            gathered_metadata.schema_info.emplace_back("data");
-
-            gathered_table = std::make_unique<cudf::table>(std::move(gathered_columns));
-
-            auto gathered_table_w_metadata =
-                cudf::io::table_with_metadata{std::move(gathered_table), std::move(gathered_metadata)};
-
-            auto meta = MessageMeta::create_from_cpp(std::move(gathered_table_w_metadata), 0);
-
-            cudaStreamSynchronize(rmm::cuda_stream_default);
-
-            output.on_next(std::move(meta));
+                auto packet_count       = pkt_ptr->packet_count_out;
+                auto payload_size_total = pkt_ptr->payload_size_total_out;
+
+                // LOG(WARNING) << "CPU packet_count " << packet_count << " payload_size_total " << payload_size_total
+                // << std::endl;
+
+                // Should not be necessary
+                if (packet_count == 0)
+                    continue;
+
+                // gather payload data
+                auto payload_col = doca::gather_payload(
+                    packet_count, pkt_ptr->payload_buffer_out, pkt_ptr->payload_sizes_out, pstream_cpp);
+
+                // const auto gather_payload_stop = now_ns();
+
+                auto iota_col = [packet_count]() {
+                    using scalar_type_t = cudf::scalar_type_t<uint32_t>;
+                    auto zero =
+                        cudf::make_numeric_scalar(cudf::data_type(cudf::data_type{cudf::type_to_id<uint32_t>()}));
+                    static_cast<scalar_type_t*>(zero.get())->set_value(0);
+                    zero->set_valid_async(false);
+                    return cudf::sequence(packet_count, *zero);
+                }();
+
+                // Accept the stream now?
+                auto gathered_table   = cudf::gather(*fixed_width_inputs_table_view[sem_idx],
+                                                   iota_col->view(),
+                                                   cudf::out_of_bounds_policy::DONT_CHECK,
+                                                   pstream_cpp);
+                auto gathered_columns = gathered_table->release();
+
+                // const auto table_create_stop = now_ns();
+
+                // post-processing for mac addresses
+                auto src_mac_col = gathered_columns[0].release();
+                // Accept the stream now?
+                auto src_mac_str_col = morpheus::doca::integers_to_mac(src_mac_col->view(), pstream_cpp);
+                gathered_columns[0].reset(src_mac_str_col.release());
+
+                auto dst_mac_col     = gathered_columns[1].release();
+                auto dst_mac_str_col = morpheus::doca::integers_to_mac(dst_mac_col->view(), pstream_cpp);
+                gathered_columns[1].reset(dst_mac_str_col.release());
+
+                // post-processing for ip addresses
+                auto src_ip_col = gathered_columns[2].release();
+                // Accept the stream now?
+                auto src_ip_str_col = cudf::strings::integers_to_ipv4(src_ip_col->view(), pstream_cpp);
+                gathered_columns[2].reset(src_ip_str_col.release());
+
+                auto dst_ip_col = gathered_columns[3].release();
+                // Accept the stream now?
+                auto dst_ip_str_col = cudf::strings::integers_to_ipv4(dst_ip_col->view(), pstream_cpp);
+                gathered_columns[3].reset(dst_ip_str_col.release());
+
+                gathered_columns.emplace_back(std::move(payload_col));
+
+                // const auto gathered_columns_stop = now_ns();
+
+                auto gathered_metadata = cudf::io::table_metadata();
+                // assemble metadata
+                gathered_metadata.schema_info.emplace_back("src_mac");
+                gathered_metadata.schema_info.emplace_back("dst_mac");
+                gathered_metadata.schema_info.emplace_back("src_ip");
+                gathered_metadata.schema_info.emplace_back("dst_ip");
+                gathered_metadata.schema_info.emplace_back("src_port");
+                gathered_metadata.schema_info.emplace_back("dst_port");
+                gathered_metadata.schema_info.emplace_back("tcp_flags");
+                gathered_metadata.schema_info.emplace_back("ether_type");
+                gathered_metadata.schema_info.emplace_back("next_proto");
+                gathered_metadata.schema_info.emplace_back("timestamp");
+                gathered_metadata.schema_info.emplace_back("data");
+
+                // After this point buffers can be reused -> copies actual packets' data
+                gathered_table = std::make_unique<cudf::table>(std::move(gathered_columns));
+
+                // const auto gather_table_meta = now_ns();
+
+                auto gathered_table_w_metadata =
+                    cudf::io::table_with_metadata{std::move(gathered_table), std::move(gathered_metadata)};
+
+                // const auto create_message_cpp = now_ns();
+
+                auto meta = MessageMeta::create_from_cpp(std::move(gathered_table_w_metadata), 0);
+
+                // Do we still need this synchronize?
+                //  const auto gather_meta_stop = now_ns();
+
+                cudaStreamSynchronize(pstream_cpp);
+                output.on_next(std::move(meta));
+
+                m_semaphore[thread_idx]->set_free(sem_idx);
+                sem_idx = (sem_idx + 1) % MAX_SEM_X_QUEUE;
+
+                // const auto end = now_ns();
+                // LOG(WARNING) << "Queue " << thread_idx
+                //             << " packets " << packet_count
+                //             << " kernel time ns " << start - start_kernel
+                //             << " CPU time ns " << end - start
+                //             << " table creation ns " << table_stop - start
+                //             << " gather payload ns " << gather_payload_stop - table_stop
+                //             << " table create ns " << table_create_stop - gather_payload_stop
+                //             << " gather column ns " << gathered_columns_stop - table_create_stop
+                //             << " gather meta schema ns " << gather_table_meta - gathered_columns_stop
+                //             << " gather meta table ns " << create_message_cpp - gather_table_meta
+                //             << " create message cpp ns " << gather_meta_stop - create_message_cpp
+                //             << " final ns " << end - gather_meta_stop
+                //             << std::endl;
+            }
         }
 
         cancel_thread.join();
@@ -232,9 +354,10 @@ std::shared_ptr<mrc::segment::Object<DocaSourceStage>> DocaSourceStageInterfaceP
     mrc::segment::Builder& builder,
     std::string const& name,
     std::string const& nic_pci_address,
-    std::string const& gpu_pci_address)
+    std::string const& gpu_pci_address,
+    std::string const& traffic_type)
 {
-    return builder.construct_object<DocaSourceStage>(name, nic_pci_address, gpu_pci_address);
+    return builder.construct_object<DocaSourceStage>(name, nic_pci_address, gpu_pci_address, traffic_type);
 }
 
 }  // namespace morpheus
diff --git a/morpheus/_lib/doca/src/doca_source_kernels.cu b/morpheus/_lib/doca/src/doca_source_kernels.cu
index a4ab3681ce..773539e14b 100644
--- a/morpheus/_lib/doca/src/doca_source_kernels.cu
+++ b/morpheus/_lib/doca/src/doca_source_kernels.cu
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-#include "common.hpp"
+#include "morpheus/doca/common.hpp"
 
 #include "morpheus/utilities/error.hpp"
 
@@ -47,97 +47,130 @@
 #define ETHER_ADDR_LEN  6 /**< Length of Ethernet address. */
 
 #define BYTE_SWAP16(v) \
-	((((uint16_t)(v) & UINT16_C(0x00ff)) << 8) | (((uint16_t)(v) & UINT16_C(0xff00)) >> 8))
+    ((((uint16_t)(v) & UINT16_C(0x00ff)) << 8) | (((uint16_t)(v) & UINT16_C(0xff00)) >> 8))
 
 #define TCP_PROTOCOL_ID 0x6
 #define UDP_PROTOCOL_ID 0x11
+#define TIMEOUT_NS 500000 //500us
 
 enum tcp_flags {
-	TCP_FLAG_FIN = (1 << 0),
-	/* set tcp packet with Fin flag */
-	TCP_FLAG_SYN = (1 << 1),
-	/* set tcp packet with Syn flag */
-	TCP_FLAG_RST = (1 << 2),
-	/* set tcp packet with Rst flag */
-	TCP_FLAG_PSH = (1 << 3),
-	/* set tcp packet with Psh flag */
-	TCP_FLAG_ACK = (1 << 4),
-	/* set tcp packet with Ack flag */
-	TCP_FLAG_URG = (1 << 5),
-	/* set tcp packet with Urg flag */
-	TCP_FLAG_ECE = (1 << 6),
-	/* set tcp packet with ECE flag */
-	TCP_FLAG_CWR = (1 << 7),
-	/* set tcp packet with CQE flag */
+    TCP_FLAG_FIN = (1 << 0),
+    /* set tcp packet with Fin flag */
+    TCP_FLAG_SYN = (1 << 1),
+    /* set tcp packet with Syn flag */
+    TCP_FLAG_RST = (1 << 2),
+    /* set tcp packet with Rst flag */
+    TCP_FLAG_PSH = (1 << 3),
+    /* set tcp packet with Psh flag */
+    TCP_FLAG_ACK = (1 << 4),
+    /* set tcp packet with Ack flag */
+    TCP_FLAG_URG = (1 << 5),
+    /* set tcp packet with Urg flag */
+    TCP_FLAG_ECE = (1 << 6),
+    /* set tcp packet with ECE flag */
+    TCP_FLAG_CWR = (1 << 7),
+    /* set tcp packet with CQE flag */
 };
 
 struct ether_hdr {
-	uint8_t d_addr_bytes[ETHER_ADDR_LEN];	/* Destination addr bytes in tx order */
-	uint8_t s_addr_bytes[ETHER_ADDR_LEN];	/* Source addr bytes in tx order */
-	uint16_t ether_type;			/* Frame type */
+    uint8_t d_addr_bytes[ETHER_ADDR_LEN];	/* Destination addr bytes in tx order */
+    uint8_t s_addr_bytes[ETHER_ADDR_LEN];	/* Source addr bytes in tx order */
+    uint16_t ether_type;			/* Frame type */
 } __attribute__((__packed__));
 
 struct ipv4_hdr {
-	uint8_t version_ihl;		/* version and header length */
-	uint8_t  type_of_service;	/* type of service */
-	uint16_t total_length;		/* length of packet */
-	uint16_t packet_id;		/* packet ID */
-	uint16_t fragment_offset;	/* fragmentation offset */
-	uint8_t  time_to_live;		/* time to live */
-	uint8_t  next_proto_id;		/* protocol ID */
-	uint16_t hdr_checksum;		/* header checksum */
-	uint32_t src_addr;		/* source address */
-	uint32_t dst_addr;		/* destination address */
+    uint8_t version_ihl;		/* version and header length */
+    uint8_t  type_of_service;	/* type of service */
+    uint16_t total_length;		/* length of packet */
+    uint16_t packet_id;		/* packet ID */
+    uint16_t fragment_offset;	/* fragmentation offset */
+    uint8_t  time_to_live;		/* time to live */
+    uint8_t  next_proto_id;		/* protocol ID */
+    uint16_t hdr_checksum;		/* header checksum */
+    uint32_t src_addr;		/* source address */
+    uint32_t dst_addr;		/* destination address */
 } __attribute__((__packed__));
 
 struct tcp_hdr {
-	uint16_t src_port;	/* TCP source port */
-	uint16_t dst_port;	/* TCP destination port */
-	uint32_t sent_seq;	/* TX data sequence number */
-	uint32_t recv_ack;	/* RX data acknowledgment sequence number */
-	uint8_t dt_off;		/* Data offset */
-	uint8_t tcp_flags;	/* TCP flags */
-	uint16_t rx_win;	/* RX flow control window */
-	uint16_t cksum;		/* TCP checksum */
-	uint16_t tcp_urp;	/* TCP urgent pointer, if any */
+    uint16_t src_port;	/* TCP source port */
+    uint16_t dst_port;	/* TCP destination port */
+    uint32_t sent_seq;	/* TX data sequence number */
+    uint32_t recv_ack;	/* RX data acknowledgment sequence number */
+    uint8_t dt_off;		/* Data offset */
+    uint8_t tcp_flags;	/* TCP flags */
+    uint16_t rx_win;	/* RX flow control window */
+    uint16_t cksum;		/* TCP checksum */
+    uint16_t tcp_urp;	/* TCP urgent pointer, if any */
 } __attribute__((__packed__));
 
 struct eth_ip_tcp_hdr {
-	struct ether_hdr l2_hdr;	/* Ethernet header */
-	struct ipv4_hdr l3_hdr;		/* IP header */
-	struct tcp_hdr l4_hdr;		/* TCP header */
+    struct ether_hdr l2_hdr;	/* Ethernet header */
+    struct ipv4_hdr l3_hdr;		/* IP header */
+    struct tcp_hdr l4_hdr;		/* TCP header */
+} __attribute__((__packed__));
+
+struct udp_hdr {
+    uint16_t src_port;	/* UDP source port */
+    uint16_t dst_port;	/* UDP destination port */
+    uint16_t dgram_len;	/* UDP datagram length */
+    uint16_t dgram_cksum;	/* UDP datagram checksum */
+} __attribute__((__packed__));
+
+struct eth_ip_udp_hdr {
+    struct ether_hdr l2_hdr;	/* Ethernet header */
+    struct ipv4_hdr l3_hdr;		/* IP header */
+    struct udp_hdr l4_hdr;		/* UDP header */
 } __attribute__((__packed__));
 
 __device__ __inline__ int
 raw_to_tcp(const uintptr_t buf_addr, struct eth_ip_tcp_hdr **hdr, uint8_t **packet_data)
 {
-	(*hdr) = (struct eth_ip_tcp_hdr *) buf_addr;
-	(*packet_data) = (uint8_t *) (buf_addr + sizeof(struct ether_hdr) + sizeof(struct ipv4_hdr) + (((*hdr)->l4_hdr.dt_off >> 4) * sizeof(int)));
+    (*hdr) = (struct eth_ip_tcp_hdr *) buf_addr;
+    (*packet_data) = (uint8_t *) (buf_addr + sizeof(struct ether_hdr) + sizeof(struct ipv4_hdr) + (((*hdr)->l4_hdr.dt_off >> 4) * sizeof(int)));
 
-	return 0;
+    return 0;
+}
+
+__device__ __inline__ int
+raw_to_udp(const uintptr_t buf_addr, struct eth_ip_udp_hdr **hdr, uint8_t **packet_data)
+{
+    (*hdr) = (struct eth_ip_udp_hdr *) buf_addr;
+    (*packet_data) = (uint8_t *) (buf_addr + sizeof(struct eth_ip_udp_hdr));
+
+    return 0;
 }
 
 __device__ __forceinline__ uint8_t
 gpu_ipv4_hdr_len(const struct ipv4_hdr& packet_l3)
 {
-	return (uint8_t)((packet_l3.version_ihl & RTE_IPV4_HDR_IHL_MASK) * RTE_IPV4_IHL_MULTIPLIER);
+    return (uint8_t)((packet_l3.version_ihl & RTE_IPV4_HDR_IHL_MASK) * RTE_IPV4_IHL_MULTIPLIER);
 };
 
 __device__ __forceinline__ uint32_t
 get_packet_size(ipv4_hdr& packet_l3)
 {
-  return static_cast<int32_t>(BYTE_SWAP16(packet_l3.total_length));
+    return static_cast<int32_t>(BYTE_SWAP16(packet_l3.total_length));
 }
 
 __device__ __forceinline__ int32_t
-get_payload_size(ipv4_hdr& packet_l3, tcp_hdr& packet_l4)
+get_payload_tcp_size(ipv4_hdr& packet_l3, tcp_hdr& packet_l4)
 {
-  auto packet_size       = get_packet_size(packet_l3);
-  auto ip_header_length  = gpu_ipv4_hdr_len(packet_l3);
-  auto tcp_header_length = static_cast<int32_t>(packet_l4.dt_off >> 4) * sizeof(int32_t);
-  auto payload_size      = packet_size - ip_header_length - tcp_header_length;
+    auto packet_size       = get_packet_size(packet_l3);
+    auto ip_header_length  = gpu_ipv4_hdr_len(packet_l3);
+    auto tcp_header_length = static_cast<int32_t>(packet_l4.dt_off >> 4) * sizeof(int32_t);
+    auto payload_size      = packet_size - ip_header_length - tcp_header_length;
 
-  return payload_size;
+    return payload_size;
+}
+
+__device__ __forceinline__ int32_t
+get_payload_udp_size(ipv4_hdr& packet_l3, udp_hdr& packet_l4)
+{
+    auto packet_size       = get_packet_size(packet_l3);
+    auto ip_header_length  = gpu_ipv4_hdr_len(packet_l3);
+    auto payload_size      = packet_size - ip_header_length - sizeof(struct udp_hdr);
+
+    return payload_size;
 }
 
 __device__ char to_hex_16(uint8_t value)
@@ -147,7 +180,7 @@ __device__ char to_hex_16(uint8_t value)
 
 __device__ int64_t mac_bytes_to_int64(uint8_t* mac)
 {
-  return static_cast<uint64_t>(mac[0]) << 40
+    return static_cast<uint64_t>(mac[0]) << 40
         | static_cast<uint64_t>(mac[1]) << 32
         | static_cast<uint32_t>(mac[2]) << 24
         | static_cast<uint32_t>(mac[3]) << 16
@@ -157,247 +190,273 @@ __device__ int64_t mac_bytes_to_int64(uint8_t* mac)
 
 __device__ int64_t mac_int64_to_chars(int64_t mac, char* out)
 {
-  uint8_t mac_0 = (mac >> 40) & (0xFF);
-  out[0]  = to_hex_16(mac_0 / 16);
-  out[1]  = to_hex_16(mac_0 % 16);
-  out[2]  = ':';
-
-  uint8_t mac_1 = (mac >> 32) & (0xFF);
-  out[3]  = to_hex_16(mac_1 / 16);
-  out[4]  = to_hex_16(mac_1 % 16);
-  out[5]  = ':';
-
-  uint8_t mac_2 = (mac >> 24) & (0xFF);
-  out[6]  = to_hex_16(mac_2 / 16);
-  out[7]  = to_hex_16(mac_2 % 16);
-  out[8]  = ':';
-
-  uint8_t mac_3 = (mac >> 16) & (0xFF);
-  out[9]  = to_hex_16(mac_3 / 16);
-  out[10] = to_hex_16(mac_3 % 16);
-  out[11] = ':';
-
-  uint8_t mac_4 = (mac >> 8) & (0xFF);
-  out[12] = to_hex_16(mac_4 / 16);
-  out[13] = to_hex_16(mac_4 % 16);
-  out[14] = ':';
-
-  uint8_t mac_5 = (mac >> 0) & (0xFF);
-  out[15] = to_hex_16(mac_5 / 16);
-  out[16] = to_hex_16(mac_5 % 16);
+    uint8_t mac_0 = (mac >> 40) & (0xFF);
+    out[0]  = to_hex_16(mac_0 / 16);
+    out[1]  = to_hex_16(mac_0 % 16);
+    out[2]  = ':';
+
+    uint8_t mac_1 = (mac >> 32) & (0xFF);
+    out[3]  = to_hex_16(mac_1 / 16);
+    out[4]  = to_hex_16(mac_1 % 16);
+    out[5]  = ':';
+
+    uint8_t mac_2 = (mac >> 24) & (0xFF);
+    out[6]  = to_hex_16(mac_2 / 16);
+    out[7]  = to_hex_16(mac_2 % 16);
+    out[8]  = ':';
+
+    uint8_t mac_3 = (mac >> 16) & (0xFF);
+    out[9]  = to_hex_16(mac_3 / 16);
+    out[10] = to_hex_16(mac_3 % 16);
+    out[11] = ':';
+
+    uint8_t mac_4 = (mac >> 8) & (0xFF);
+    out[12] = to_hex_16(mac_4 / 16);
+    out[13] = to_hex_16(mac_4 % 16);
+    out[14] = ':';
+
+    uint8_t mac_5 = (mac >> 0) & (0xFF);
+    out[15] = to_hex_16(mac_5 / 16);
+    out[16] = to_hex_16(mac_5 % 16);
 }
 
 __device__ uint32_t tcp_parse_timestamp(rte_tcp_hdr const *tcp)
 {
-	const uint8_t *tcp_opt = (typeof(tcp_opt))tcp + RTE_TCP_MIN_HDR_LEN;
-	const uint8_t *tcp_data = (typeof(tcp_data))tcp + static_cast<int32_t>(tcp->dt_off * sizeof(int32_t));
-
-  while (tcp_opt < tcp_data) {
-    switch(tcp_opt[0]) {
-      case RTE_TCP_OPT_END:
-        return 0;
-      case RTE_TCP_OPT_NOP:
-        tcp_opt++;
-        continue;
-      case RTE_TCP_OPT_TIMESTAMP:
-        return (static_cast<uint32_t>(tcp_opt[2]) << 24)
-            | (static_cast<uint32_t>(tcp_opt[3]) << 16)
-            | (static_cast<uint32_t>(tcp_opt[4]) << 8)
-            | (static_cast<uint32_t>(tcp_opt[5]) << 0);
-      default:
-        if (tcp_opt[1] == 0) {
-          return 0;
-        } else {
-          tcp_opt += tcp_opt[1];
+    const uint8_t *tcp_opt = (typeof(tcp_opt))tcp + RTE_TCP_MIN_HDR_LEN;
+    const uint8_t *tcp_data = (typeof(tcp_data))tcp + static_cast<int32_t>(tcp->dt_off * sizeof(int32_t));
+
+    while (tcp_opt < tcp_data) {
+        switch(tcp_opt[0]) {
+            case RTE_TCP_OPT_END:
+            return 0;
+            case RTE_TCP_OPT_NOP:
+            tcp_opt++;
+            continue;
+            case RTE_TCP_OPT_TIMESTAMP:
+            return (static_cast<uint32_t>(tcp_opt[2]) << 24)
+                | (static_cast<uint32_t>(tcp_opt[3]) << 16)
+                | (static_cast<uint32_t>(tcp_opt[4]) << 8)
+                | (static_cast<uint32_t>(tcp_opt[5]) << 0);
+            default:
+            if (tcp_opt[1] == 0) {
+                return 0;
+            } else {
+                tcp_opt += tcp_opt[1];
+            }
+            continue;
         }
-        continue;
     }
-  }
 
-	return 0;
+    return 0;
 }
 
+#define DEVICE_GET_TIME(globaltimer) asm volatile("mov.u64 %0, %globaltimer;" : "=l"(globaltimer))
+
 __global__ void _packet_receive_kernel(
-  doca_gpu_eth_rxq*       rxq_info,
-  doca_gpu_semaphore_gpu* sem_in,
-  int32_t                 sem_count,
-  int32_t*                sem_idx,
-  int32_t*                packet_count_out,
-  char*                   payload_buffer_out,
-  int32_t*                payload_size_total_out,
-  int32_t*                payload_sizes_out,
-  int64_t*                src_mac_out,
-  int64_t*                dst_mac_out,
-  int64_t*                src_ip_out,
-  int64_t*                dst_ip_out,
-  uint16_t*               src_port_out,
-  uint16_t*               dst_port_out,
-  int32_t*                tcp_flags_out,
-  int32_t*                ether_type_out,
-  int32_t*                next_proto_id_out,
-  uint32_t*               timestamp_out,
-  uint32_t*               exit_condition
+    doca_gpu_eth_rxq*       rxq,
+    doca_gpu_semaphore_gpu* sem,
+    uint16_t sem_idx,
+    const bool is_tcp,
+    uint32_t* exit_condition
 )
 {
-  // Specialize BlockReduce for a 1D block of 128 threads of type int
-  using BlockReduce = cub::BlockReduce<int32_t, THREADS_PER_BLOCK>;
-
-  // Allocate shared memory for BlockReduce
-  __shared__ typename BlockReduce::TempStorage temp_storage;
-
-  if (threadIdx.x == 0)
-  {
-    *packet_count_out = 0;
-    *payload_size_total_out = 0;
-  }
-
-  __shared__ uint32_t packet_count_received;
-  __shared__ uint64_t packet_offset_received;
-  __shared__ doca_gpu_semaphore_status sem_status;
-
-  while (true)
-  {
-    auto ret = doca_gpu_dev_sem_get_status(sem_in, *sem_idx, &sem_status);
-
-    if (ret != DOCA_SUCCESS) {
-      DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
-      return;
-    }
-
-    if (DOCA_GPUNETIO_VOLATILE(*exit_condition) == 1)
-    {
-      return;
-    }
-
-    if (sem_status == DOCA_GPU_SEMAPHORE_STATUS_FREE)
-    {
-      break;
-    }
-  }
-
-  __syncthreads();
-
-  DOCA_GPUNETIO_VOLATILE(packet_count_received) = 0;
-
-  __syncthreads();
-
-  auto ret = doca_gpu_dev_eth_rxq_receive_block(
-    rxq_info,
-    PACKETS_PER_BLOCK,
-    PACKET_RX_TIMEOUT_NS,
-    &packet_count_received,
-    &packet_offset_received
-  );
-
-  if (ret != DOCA_SUCCESS) {
-    DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
-    return;
-  }
-
-  __threadfence();
-  __syncthreads();
-
-  if (DOCA_GPUNETIO_VOLATILE(packet_count_received) == 0) {
-    return;
-  }
-
-  __threadfence();
-  __syncthreads();
-
-  int32_t payload_sizes[PACKETS_PER_THREAD];
-  int32_t payload_flags[PACKETS_PER_THREAD];
-
-  for (auto i = 0; i < PACKETS_PER_THREAD; i++)
-  {
-    auto packet_idx = threadIdx.x * PACKETS_PER_THREAD + i;
-
-    if (packet_idx >= DOCA_GPUNETIO_VOLATILE(packet_count_received)) {
-      payload_sizes[i] = 0;
-      payload_flags[i] = 0;
-      continue;
-    }
-
+    __shared__ uint32_t packet_count_received;
+    __shared__ uint64_t packet_offset_received;
+    __shared__ struct packets_info *pkt_info;
+    // Specialize BlockReduce for a 1D block of 128 threads of type int
+    using BlockReduce = cub::BlockReduce<int32_t, THREADS_PER_BLOCK>;
+    // Allocate shared memory for BlockReduce
+    __shared__ typename BlockReduce::TempStorage temp_storage;
+#if RUN_PERSISTENT
+    doca_gpu_semaphore_status sem_status;
+#endif
+    int32_t _payload_sizes[PACKETS_PER_THREAD];
+    int32_t _payload_flags[PACKETS_PER_THREAD];
     doca_gpu_buf *buf_ptr;
-    doca_gpu_dev_eth_rxq_get_buf(rxq_info, DOCA_GPUNETIO_VOLATILE(packet_offset_received) + packet_idx, &buf_ptr);
-
     uintptr_t buf_addr;
-    doca_gpu_dev_buf_get_addr(buf_ptr, &buf_addr);
-
-    struct eth_ip_tcp_hdr *hdr;
+    doca_error_t doca_ret;
+    struct eth_ip_tcp_hdr *hdr_tcp;
+    struct eth_ip_udp_hdr *hdr_udp;
     uint8_t *payload;
-		raw_to_tcp(buf_addr, &hdr, &payload);
+    // unsigned long long rx_start = 0, rx_stop = 0, pkt_proc = 0, reduce_stop =0, reduce_start = 0;
 
-    auto payload_size = get_payload_size(hdr->l3_hdr, hdr->l4_hdr);
-
-    for(auto j = 0; j < payload_size; j++)
-    {
-      payload_buffer_out[packet_idx * MAX_PKT_SIZE + j] = payload[j];
-    }
-
-    payload_sizes[i] = payload_size;
-    payload_flags[i] = 1;
-
-    payload_sizes_out[packet_idx] = payload_size;
-
-    // mac address
-    src_mac_out[packet_idx] = mac_bytes_to_int64(hdr->l2_hdr.s_addr_bytes);
-    dst_mac_out[packet_idx] = mac_bytes_to_int64(hdr->l2_hdr.d_addr_bytes);
-
-    // ip address
+    // IP address conversion
     auto ip_to_int64 = []__device__(auto address){
-      return (address & 0x000000ff) << 24
-      | (address & 0x0000ff00) << 8
-      | (address & 0x00ff0000) >> 8
-      | (address & 0xff000000) >> 24;
+    return (address & 0x000000ff) << 24
+            | (address & 0x0000ff00) << 8
+            | (address & 0x00ff0000) >> 8
+            | (address & 0xff000000) >> 24;
     };
 
-    src_ip_out[packet_idx] = ip_to_int64(hdr->l3_hdr.src_addr);
-    dst_ip_out[packet_idx] = ip_to_int64(hdr->l3_hdr.dst_addr);
-
-    // ports
-    src_port_out[packet_idx] = BYTE_SWAP16(hdr->l4_hdr.src_port);
-    dst_port_out[packet_idx] = BYTE_SWAP16(hdr->l4_hdr.dst_port);
-
-    // tcp flags
-    tcp_flags_out[packet_idx] = static_cast<int32_t> (hdr->l4_hdr.tcp_flags);
-
-    // frame type
-    ether_type_out[packet_idx] = static_cast<int32_t> (hdr->l2_hdr.ether_type);
-
-    // protocol id
-    next_proto_id_out[packet_idx] = static_cast<int32_t> (hdr->l3_hdr.next_proto_id);
-
-    auto now = cuda::std::chrono::system_clock::now();
-    auto now_ms = cuda::std::chrono::time_point_cast<cuda::std::chrono::milliseconds>(now);
-    auto epoch = now_ms.time_since_epoch();
-    timestamp_out[packet_idx] = epoch.count();
-  }
-
-  auto payload_size_total = BlockReduce(temp_storage).Sum(payload_sizes);
-
-  __syncthreads();
-
-  auto packet_count = BlockReduce(temp_storage).Sum(payload_flags);
+    //Initial semaphore index 0, assume it's free!
+    doca_ret = doca_gpu_dev_semaphore_get_custom_info_addr(sem, sem_idx, (void **)&pkt_info);
+    if (doca_ret != DOCA_SUCCESS) {
+        printf("Error %d doca_gpu_dev_semaphore_get_custom_info_addr\n", doca_ret);
+        DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
+        return;
+    }
 
-  __syncthreads();
+    if (threadIdx.x == 0) {
+        DOCA_GPUNETIO_VOLATILE(pkt_info->packet_count_out) = 0;
+        DOCA_GPUNETIO_VOLATILE(pkt_info->payload_size_total_out) = 0;
+        DOCA_GPUNETIO_VOLATILE(packet_count_received) = 0;
+    }
+    __syncthreads();
+
+    // do {
+        // if (threadIdx.x == 0) DEVICE_GET_TIME(rx_start);
+        doca_ret = doca_gpu_dev_eth_rxq_receive_block(rxq, PACKETS_PER_BLOCK, PACKET_RX_TIMEOUT_NS, &packet_count_received, &packet_offset_received);
+        if (doca_ret != DOCA_SUCCESS) [[unlikely]] {
+            DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
+            return;
+        }
+        __threadfence();
+        if (DOCA_GPUNETIO_VOLATILE(packet_count_received) == 0)
+            return;
+
+        // if (threadIdx.x == 0)
+        //   printf("Block %d sem id %d received %d\n", blockIdx.x, sem_idx, DOCA_GPUNETIO_VOLATILE(packet_count_received));
+        // if (threadIdx.x == 0) DEVICE_GET_TIME(rx_stop);
+
+        for (auto i = 0; i < PACKETS_PER_THREAD; i++) {
+            auto packet_idx = threadIdx.x * PACKETS_PER_THREAD + i;
+            if (packet_idx >= DOCA_GPUNETIO_VOLATILE(packet_count_received)) {
+                _payload_sizes[i] = 0;
+                _payload_flags[i] = 0;
+                continue;
+            }
+
+            doca_ret = doca_gpu_dev_eth_rxq_get_buf(rxq, DOCA_GPUNETIO_VOLATILE(packet_offset_received) + packet_idx, &buf_ptr);
+            if (doca_ret != DOCA_SUCCESS) [[unlikely]] {
+                DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
+                return;
+            }
+
+            doca_ret = doca_gpu_dev_buf_get_addr(buf_ptr, &buf_addr);
+            if (doca_ret != DOCA_SUCCESS) [[unlikely]] {
+                DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
+                return;
+            }
+
+            if (is_tcp) {
+                raw_to_tcp(buf_addr, &hdr_tcp, &payload);
+                //Payload
+                auto payload_size = get_payload_tcp_size(hdr_tcp->l3_hdr, hdr_tcp->l4_hdr);
+                for(auto j = 0; j < payload_size; j++)
+                    pkt_info->payload_buffer_out[packet_idx * MAX_PKT_SIZE + j] = payload[j];
+                _payload_sizes[i] = payload_size;
+                _payload_flags[i] = 1;
+                pkt_info->payload_sizes_out[packet_idx] = payload_size;
+                // mac address
+                pkt_info->src_mac_out[packet_idx] = mac_bytes_to_int64(hdr_tcp->l2_hdr.s_addr_bytes);
+                pkt_info->dst_mac_out[packet_idx] = mac_bytes_to_int64(hdr_tcp->l2_hdr.d_addr_bytes);
+                // ip address
+                pkt_info->src_ip_out[packet_idx] = ip_to_int64(hdr_tcp->l3_hdr.src_addr);
+                pkt_info->dst_ip_out[packet_idx] = ip_to_int64(hdr_tcp->l3_hdr.dst_addr);
+                // ports
+                pkt_info->src_port_out[packet_idx] = BYTE_SWAP16(hdr_tcp->l4_hdr.src_port);
+                pkt_info->dst_port_out[packet_idx] = BYTE_SWAP16(hdr_tcp->l4_hdr.dst_port);
+                // tcp flags
+                pkt_info->tcp_flags_out[packet_idx] = static_cast<int32_t> (hdr_tcp->l4_hdr.tcp_flags);
+                // frame type
+                pkt_info->ether_type_out[packet_idx] = static_cast<int32_t> (hdr_tcp->l2_hdr.ether_type);
+                // protocol id
+                pkt_info->next_proto_id_out[packet_idx] = static_cast<int32_t> (hdr_tcp->l3_hdr.next_proto_id);
+            } else {
+                raw_to_udp(buf_addr, &hdr_udp, &payload);
+                //Payload
+                auto payload_size = get_payload_udp_size(hdr_udp->l3_hdr, hdr_udp->l4_hdr);
+                for(auto j = 0; j < payload_size; j++)
+                    pkt_info->payload_buffer_out[packet_idx * MAX_PKT_SIZE + j] = payload[j];
+                _payload_sizes[i] = payload_size;
+                _payload_flags[i] = 1;
+                pkt_info->payload_sizes_out[packet_idx] = payload_size;
+                // mac address
+                pkt_info->src_mac_out[packet_idx] = mac_bytes_to_int64(hdr_udp->l2_hdr.s_addr_bytes);
+                pkt_info->dst_mac_out[packet_idx] = mac_bytes_to_int64(hdr_udp->l2_hdr.d_addr_bytes);
+                // ip address
+                pkt_info->src_ip_out[packet_idx] = ip_to_int64(hdr_udp->l3_hdr.src_addr);
+                pkt_info->dst_ip_out[packet_idx] = ip_to_int64(hdr_udp->l3_hdr.dst_addr);
+                // ports
+                pkt_info->src_port_out[packet_idx] = BYTE_SWAP16(hdr_udp->l4_hdr.src_port);
+                pkt_info->dst_port_out[packet_idx] = BYTE_SWAP16(hdr_udp->l4_hdr.dst_port);
+                // frame type
+                pkt_info->ether_type_out[packet_idx] = static_cast<int32_t> (hdr_udp->l2_hdr.ether_type);
+                // protocol id
+                pkt_info->next_proto_id_out[packet_idx] = static_cast<int32_t> (hdr_udp->l3_hdr.next_proto_id);
+            }
+
+            auto now = cuda::std::chrono::system_clock::now();
+            auto now_ms = cuda::std::chrono::time_point_cast<cuda::std::chrono::milliseconds>(now);
+            auto epoch = now_ms.time_since_epoch();
+            pkt_info->timestamp_out[packet_idx] = epoch.count();
+        }
 
-  if (threadIdx.x == 0)
-  {
-    *packet_count_out = packet_count;
-    *payload_size_total_out = payload_size_total;
-  }
+        // if (threadIdx.x == 0) DEVICE_GET_TIME(reduce_start);
+        auto payload_size_total = BlockReduce(temp_storage).Sum(_payload_sizes);
+        __syncthreads();
+        auto packet_count = BlockReduce(temp_storage).Sum(_payload_flags);
+        __syncthreads();
+        // if (threadIdx.x == 0) DEVICE_GET_TIME(reduce_stop);
+
+        if (threadIdx.x == 0) {
+            // DEVICE_GET_TIME(pkt_proc);
+            DOCA_GPUNETIO_VOLATILE(pkt_info->packet_count_out) = packet_count;
+            DOCA_GPUNETIO_VOLATILE(pkt_info->payload_size_total_out) = payload_size_total;
+            // printf("Block %d Update semaphore %d with %d packets %d size\n",
+            //   blockIdx.x,
+            //   sem_idx, DOCA_GPUNETIO_VOLATILE(pkt_info->packet_count_out), DOCA_GPUNETIO_VOLATILE(pkt_info->payload_size_total_out));
+            doca_ret = doca_gpu_dev_semaphore_set_status(sem, sem_idx, DOCA_GPU_SEMAPHORE_STATUS_READY);
+            if (doca_ret != DOCA_SUCCESS) {
+                printf("Error %d doca_gpu_dev_semaphore_set_status\n", doca_ret);
+                DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
+                // break;
+            }
+
+            // printf("CUDA rx time %ld proc time %ld pkt conv %ld block reduce %ld\n",
+            //         rx_stop - rx_start,
+            //         pkt_proc - rx_stop,
+            //         reduce_start - rx_stop,
+            //         reduce_stop - reduce_start);
+        }
+        __syncthreads();
+
+#if RUN_PERSISTENT
+        // sem_idx = (sem_idx+1)%MAX_SEM_X_QUEUE;
+
+        // Get packets' info from next semaphore
+        // if (threadIdx.x == 0) {
+            // do {
+            //     doca_ret = doca_gpu_dev_semaphore_get_status(sem, sem_idx, &sem_status);
+            //     if (doca_ret != DOCA_SUCCESS) {
+            //         printf("Error %d doca_gpu_dev_semaphore_get_status\n", doca_ret);
+            //         DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
+            //         break;
+            //     }
+
+            //     if (sem_status == DOCA_GPU_SEMAPHORE_STATUS_FREE) {
+            //         doca_ret = doca_gpu_dev_semaphore_get_custom_info_addr(sem, sem_idx, (void **)&pkt_info);
+            //         if (doca_ret != DOCA_SUCCESS) {
+            //             printf("Error %d doca_gpu_dev_semaphore_get_custom_info_addr\n", doca_ret);
+            //             DOCA_GPUNETIO_VOLATILE(*exit_condition) = 1;
+            //         }
+
+            //         DOCA_GPUNETIO_VOLATILE(pkt_info->packet_count_out) = 0;
+            //         DOCA_GPUNETIO_VOLATILE(pkt_info->payload_size_total_out) = 0;
+            //         DOCA_GPUNETIO_VOLATILE(packet_count_received) = 0;
+
+            //         break;
+            //     }
+            // } while (DOCA_GPUNETIO_VOLATILE(*exit_condition) == 0);
+          // }
+        // __syncthreads();
+    // } while (DOCA_GPUNETIO_VOLATILE(*exit_condition) == 0)
 
   if (threadIdx.x == 0)
-  {
-    doca_gpu_dev_sem_set_status(
-      sem_in,
-      *sem_idx,
-      DOCA_GPU_SEMAPHORE_STATUS_FREE
-    );
-  }
-
-  __threadfence();
-  __syncthreads();
+    doca_gpu_dev_sem_set_status(sem_in, *sem_idx, DOCA_GPU_SEMAPHORE_STATUS_FREE);
+  // __threadfence();
+  // __syncthreads();
+#endif
 }
 
 __global__ void _packet_gather_kernel(
@@ -502,13 +561,9 @@ std::unique_ptr<cudf::column> integers_to_mac(
   }
 
   auto const_17_itr = thrust::constant_iterator<cudf::size_type>(17);
-  // this transform iterator is a workaround for a compilation issue caused by passing a plain constant iteartor
-  auto offsets_transformer = [] __device__(auto item) -> cudf::size_type { return item;};
-  auto offsets_transformer_itr = thrust::make_transform_iterator(const_17_itr, offsets_transformer);
-
   auto [offsets_column, bytes] = cudf::detail::make_offsets_child_column(
-    offsets_transformer_itr,
-    offsets_transformer_itr + strings_count,
+    const_17_itr,
+    const_17_itr + strings_count,
     stream,
     mr
   );
@@ -526,8 +581,6 @@ std::unique_ptr<cudf::column> integers_to_mac(
     integers_to_mac_fn{d_column, d_offsets, d_chars}
   );
 
-  CHECK_CUDA(stream);
-
   return cudf::make_strings_column(strings_count,
     std::move(offsets_column),
     std::move(chars_column),
@@ -568,55 +621,15 @@ void cuda_memory_test2()
 }
 
 void packet_receive_kernel(
-  doca_gpu_eth_rxq*       rxq_info,
-  doca_gpu_semaphore_gpu* sem_in,
-  int32_t                 sem_count,
-  int32_t*                sem_idx,
-  int32_t*                packet_count_out,
-  char*                   payload_buffer_out,
-  int32_t*                payload_size_total_out,
-  int32_t*                payload_sizes_out,
-  int64_t*                src_mac_out,
-  int64_t*                dst_mac_out,
-  int64_t*                src_ip_out,
-  int64_t*                dst_ip_out,
-  uint16_t*               src_port_out,
-  uint16_t*               dst_port_out,
-  int32_t*                tcp_flags_out,
-  int32_t*                ether_type_out,
-  int32_t*                next_proto_id_out,
-  uint32_t*               timestamp_out,
+  doca_gpu_eth_rxq*       rxq,
+  doca_gpu_semaphore_gpu* sem,
+  uint16_t sem_idx,
+  bool is_tcp,
   uint32_t*               exit_condition,
   cudaStream_t            stream
 )
 {
-  _packet_receive_kernel<<<1, THREADS_PER_BLOCK, 0, stream>>>(
-    rxq_info,
-    sem_in,
-    sem_count,
-    sem_idx,
-    packet_count_out,
-    payload_buffer_out,
-    payload_size_total_out,
-    payload_sizes_out,
-    src_mac_out,
-    dst_mac_out,
-    src_ip_out,
-    dst_ip_out,
-    src_port_out,
-    dst_port_out,
-    tcp_flags_out,
-    ether_type_out,
-    next_proto_id_out,
-    timestamp_out,
-    exit_condition
-  );
-
-  CHECK_CUDA(stream);
-
-  cuda_memory_test1();
-
-  CHECK_CUDA(stream);
+  _packet_receive_kernel<<<1, THREADS_PER_BLOCK, 0, stream>>>(rxq, sem, sem_idx, is_tcp, exit_condition);
 }
 
 std::unique_ptr<cudf::column> gather_payload(
@@ -643,12 +656,6 @@ std::unique_ptr<cudf::column> gather_payload(
     d_chars
   );
 
-  CHECK_CUDA(stream);
-
-  cuda_memory_test2();
-
-  CHECK_CUDA(stream);
-
   return cudf::make_strings_column(packet_count,
     std::move(offsets_column),
     std::move(chars_column),
diff --git a/morpheus/_lib/doca/src/rte_context.cpp b/morpheus/_lib/doca/src/rte_context.cpp
index 8576cb0444..705da11235 100644
--- a/morpheus/_lib/doca/src/rte_context.cpp
+++ b/morpheus/_lib/doca/src/rte_context.cpp
@@ -1,5 +1,5 @@
 /**
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-#include "rte_context.hpp"
+#include "morpheus/doca/rte_context.hpp"
 
-#include "error.hpp"
+#include "morpheus/doca/error.hpp"
 
 #include <glog/logging.h>
 #include <rte_eal.h>
diff --git a/morpheus/_lib/include/morpheus/io/data_loader.hpp b/morpheus/_lib/include/morpheus/io/data_loader.hpp
index e2e26248e1..b833d7b7e6 100644
--- a/morpheus/_lib/include/morpheus/io/data_loader.hpp
+++ b/morpheus/_lib/include/morpheus/io/data_loader.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/io/data_loader_registry.hpp b/morpheus/_lib/include/morpheus/io/data_loader_registry.hpp
index ccfaa4b3ef..1c038c2617 100644
--- a/morpheus/_lib/include/morpheus/io/data_loader_registry.hpp
+++ b/morpheus/_lib/include/morpheus/io/data_loader_registry.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,7 +24,6 @@
 #include <pybind11/pytypes.h>
 
 #include <functional>
-#include <map>
 #include <memory>
 #include <string>
 
diff --git a/morpheus/_lib/include/morpheus/io/deserializers.hpp b/morpheus/_lib/include/morpheus/io/deserializers.hpp
index 05910fa857..d98cad6e9a 100644
--- a/morpheus/_lib/include/morpheus/io/deserializers.hpp
+++ b/morpheus/_lib/include/morpheus/io/deserializers.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/io/loaders/all.hpp b/morpheus/_lib/include/morpheus/io/loaders/all.hpp
index dc5d822fa8..88feaec340 100644
--- a/morpheus/_lib/include/morpheus/io/loaders/all.hpp
+++ b/morpheus/_lib/include/morpheus/io/loaders/all.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/io/loaders/file.hpp b/morpheus/_lib/include/morpheus/io/loaders/file.hpp
index 390064175d..63c977889f 100644
--- a/morpheus/_lib/include/morpheus/io/loaders/file.hpp
+++ b/morpheus/_lib/include/morpheus/io/loaders/file.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/io/loaders/grpc.hpp b/morpheus/_lib/include/morpheus/io/loaders/grpc.hpp
index 80c2c1e5c1..1bfceab839 100644
--- a/morpheus/_lib/include/morpheus/io/loaders/grpc.hpp
+++ b/morpheus/_lib/include/morpheus/io/loaders/grpc.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/io/loaders/lambda.hpp b/morpheus/_lib/include/morpheus/io/loaders/lambda.hpp
index d17b87d1ae..4280cdacf6 100644
--- a/morpheus/_lib/include/morpheus/io/loaders/lambda.hpp
+++ b/morpheus/_lib/include/morpheus/io/loaders/lambda.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/io/loaders/payload.hpp b/morpheus/_lib/include/morpheus/io/loaders/payload.hpp
index 87847adccc..7ba30636c8 100644
--- a/morpheus/_lib/include/morpheus/io/loaders/payload.hpp
+++ b/morpheus/_lib/include/morpheus/io/loaders/payload.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/io/loaders/rest.hpp b/morpheus/_lib/include/morpheus/io/loaders/rest.hpp
index d011218de6..06363b4fc2 100644
--- a/morpheus/_lib/include/morpheus/io/loaders/rest.hpp
+++ b/morpheus/_lib/include/morpheus/io/loaders/rest.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/io/serializers.hpp b/morpheus/_lib/include/morpheus/io/serializers.hpp
index ed37e2c4e5..031a7d02e1 100644
--- a/morpheus/_lib/include/morpheus/io/serializers.hpp
+++ b/morpheus/_lib/include/morpheus/io/serializers.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/llm/fwd.hpp b/morpheus/_lib/include/morpheus/llm/fwd.hpp
index 5011218bfa..c05be89cce 100644
--- a/morpheus/_lib/include/morpheus/llm/fwd.hpp
+++ b/morpheus/_lib/include/morpheus/llm/fwd.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/llm/input_map.hpp b/morpheus/_lib/include/morpheus/llm/input_map.hpp
index 4845901821..7bc7c1750f 100644
--- a/morpheus/_lib/include/morpheus/llm/input_map.hpp
+++ b/morpheus/_lib/include/morpheus/llm/input_map.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,7 +22,7 @@
 
 #include <memory>
 #include <string>
-#include <variant>
+#include <tuple>
 #include <vector>
 
 namespace morpheus::llm {
diff --git a/morpheus/_lib/include/morpheus/llm/llm_context.hpp b/morpheus/_lib/include/morpheus/llm/llm_context.hpp
index 26aeaf4b61..e182e00606 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_context.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_context.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,10 +18,9 @@
 #pragma once
 
 #include "morpheus/export.h"
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/input_map.hpp"
 #include "morpheus/llm/llm_task.hpp"
-#include "morpheus/messages/control.hpp"
-#include "morpheus/utilities/json_types.hpp"
 
 #include <mrc/types.hpp>
 #include <nlohmann/json.hpp>
diff --git a/morpheus/_lib/include/morpheus/llm/llm_engine.hpp b/morpheus/_lib/include/morpheus/llm/llm_engine.hpp
index 69ecc293eb..3bec97bdd3 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_engine.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_engine.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,10 +20,7 @@
 #include "morpheus/export.h"
 #include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/input_map.hpp"
-#include "morpheus/llm/llm_context.hpp"
 #include "morpheus/llm/llm_node.hpp"
-#include "morpheus/llm/llm_task_handler.hpp"
-#include "morpheus/messages/control.hpp"
 #include "morpheus/types.hpp"
 
 #include <memory>
diff --git a/morpheus/_lib/include/morpheus/llm/llm_lambda_node.hpp b/morpheus/_lib/include/morpheus/llm/llm_lambda_node.hpp
index 6bda7a8f16..e1d4a8d8fe 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_lambda_node.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_lambda_node.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/llm/llm_node.hpp b/morpheus/_lib/include/morpheus/llm/llm_node.hpp
index e288c27c68..a0a5d6ea33 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_node.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_node.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/llm/llm_node_base.hpp b/morpheus/_lib/include/morpheus/llm/llm_node_base.hpp
index e0495c55d3..b93bb655f4 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_node_base.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_node_base.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/llm/llm_node_runner.hpp b/morpheus/_lib/include/morpheus/llm/llm_node_runner.hpp
index 03613d3ffa..d15c2d41f9 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_node_runner.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_node_runner.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,7 +20,6 @@
 #include "morpheus/export.h"
 #include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/input_map.hpp"
-#include "morpheus/llm/llm_node_base.hpp"
 #include "morpheus/types.hpp"
 
 #include <memory>
diff --git a/morpheus/_lib/include/morpheus/llm/llm_task.hpp b/morpheus/_lib/include/morpheus/llm/llm_task.hpp
index 8430dd973f..4e6746f5f3 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_task.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_task.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/llm/llm_task_handler.hpp b/morpheus/_lib/include/morpheus/llm/llm_task_handler.hpp
index 4cd61b4fcf..2f30515dd8 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_task_handler.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_task_handler.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/llm/llm_task_handler_runner.hpp b/morpheus/_lib/include/morpheus/llm/llm_task_handler_runner.hpp
index a5c879be29..d840c4f3ae 100644
--- a/morpheus/_lib/include/morpheus/llm/llm_task_handler_runner.hpp
+++ b/morpheus/_lib/include/morpheus/llm/llm_task_handler_runner.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/llm/utils.hpp b/morpheus/_lib/include/morpheus/llm/utils.hpp
index 63e4f11f0f..a5529220e9 100644
--- a/morpheus/_lib/include/morpheus/llm/utils.hpp
+++ b/morpheus/_lib/include/morpheus/llm/utils.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/control.hpp b/morpheus/_lib/include/morpheus/messages/control.hpp
index e80b7c9f48..2eb45dea7e 100644
--- a/morpheus/_lib/include/morpheus/messages/control.hpp
+++ b/morpheus/_lib/include/morpheus/messages/control.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,19 +17,19 @@
 
 #pragma once
 
-#include "morpheus/messages/memory/tensor_memory.hpp"
-#include "morpheus/messages/meta.hpp"
+#include "morpheus/messages/meta.hpp"  // for MessageMeta
 
-#include <nlohmann/json.hpp>
-#include <pybind11/pytypes.h>
+#include <nlohmann/json.hpp>   // for json, basic_json
+#include <pybind11/pytypes.h>  // for object, dict, list, none
 
-#include <map>
-#include <memory>
-#include <optional>
-#include <string>
+#include <chrono>    // for system_clock, time_point
+#include <map>       // for map
+#include <memory>    // for shared_ptr
+#include <optional>  // for optional
+#include <string>    // for string
+#include <vector>    // for vector
 
 namespace morpheus {
-class MessageMeta;
 
 #pragma GCC visibility push(default)
 enum class ControlMessageType
@@ -161,6 +161,11 @@ enum class ControlMessageType
 //     std::shared_ptr<TensorMemory> m_tensors;
 // };
 
+class TensorMemory;
+
+// System-clock for better compatibility with pybind11/chrono
+using time_point_t = std::chrono::time_point<std::chrono::system_clock>;
+
 /**
  * @brief Class representing a control message for coordinating data processing tasks.
  *
@@ -172,7 +177,8 @@ class ControlMessage
 {
   public:
     ControlMessage();
-    ControlMessage(const nlohmann::json& config);
+    explicit ControlMessage(const nlohmann::json& config);
+
     ControlMessage(const ControlMessage& other);  // Copies config and metadata, but not payload
 
     /**
@@ -185,7 +191,7 @@ class ControlMessage
      * @brief Get the configuration object for the control message.
      * @return A const reference to the json object containing configuration information.
      */
-    const nlohmann::json& config() const;
+    [[nodiscard]] const nlohmann::json& config() const;
 
     /**
      * @brief Add a task of the given type to the control message.
@@ -199,19 +205,19 @@ class ControlMessage
      * @param task_type A string indicating the type of the task.
      * @return True if a task of the given type exists, false otherwise.
      */
-    bool has_task(const std::string& task_type) const;
+    [[nodiscard]] bool has_task(const std::string& task_type) const;
 
     /**
      * @brief Remove and return a task of the given type from the control message.
      * @param task_type A string indicating the type of the task.
      * @return A json object describing the task.
      */
-    const nlohmann::json remove_task(const std::string& task_type);
+    nlohmann::json remove_task(const std::string& task_type);
 
     /**
      * @brief Get the tasks for the control message.
      */
-    const nlohmann::json& get_tasks() const;
+    [[nodiscard]] const nlohmann::json& get_tasks() const;
 
     /**
      * @brief Add a key-value pair to the metadata for the control message.
@@ -225,39 +231,90 @@ class ControlMessage
      * @param key A string indicating the metadata key.
      * @return True if the metadata key exists, false otherwise.
      */
-    bool has_metadata(const std::string& key) const;
+    [[nodiscard]] bool has_metadata(const std::string& key) const;
 
     /**
      * @brief Get the metadata for the control message.
      */
-    const nlohmann::json& get_metadata() const;
+    [[nodiscard]] nlohmann::json get_metadata() const;
 
     /**
      * @brief Get the metadata value for the given key from the control message.
+     * If the key does not exist, the behavior depends on the fail_on_nonexist parameter.
+     *
      * @param key A string indicating the metadata key.
-     * @return A json object describing the metadata value.
+     * @param fail_on_nonexist If true, throws an exception when the key does not exist.
+     *                         If false, returns std::nullopt for non-existing keys.
+     * @return An optional json object describing the metadata value if it exists.
      */
-    const nlohmann::json get_metadata(const std::string& key) const;
+    [[nodiscard]] nlohmann::json get_metadata(const std::string& key, bool fail_on_nonexist = false) const;
 
     /**
-     * @brief Get all metadata keys for the control message.
-     * @return A json object containing all metadata keys and values.
+     * @brief Lists all metadata keys currently stored in the control message.
+     *
+     * This method retrieves a list of all metadata keys present in the control message.
+     * Metadata within a control message typically includes supplementary information
+     * such as configuration settings, operational parameters, or annotations that
+     * are not directly part of the message payload but are crucial for processing
+     * or understanding the message.
+     *
+     * @return A std::vector<std::string> containing the keys of all metadata entries
+     *         in the control message. If no metadata has been set, the returned vector
+     *         will be empty.
      */
-    const nlohmann::json list_metadata() const;
+    [[nodiscard]] std::vector<std::string> list_metadata() const;
 
     /**
-     * @brief Set the payload object for the control message.
+     * @brief Retrieves the current payload object of the control message.
+     *
+     * This method returns a shared pointer to the current payload object associated
+     * with this control message. The payload object encapsulates metadata or data
+     * specific to this message instance.
+     *
+     * @return A shared pointer to the MessageMeta instance representing the message payload.
+     * @brief Get the payload object for the control message.
      * @param payload
      * A shared pointer to the message payload.
      */
     std::shared_ptr<MessageMeta> payload();
 
     /**
-     * @brief Set the payload object
-     * @param payload
+     * @brief Assigns a new payload object to the control message.
+     *
+     * Sets the payload of the control message to the provided MessageMeta instance.
+     * The payload contains data or metadata pertinent to the message. Using a shared
+     * pointer ensures that the payload is managed efficiently with automatic reference
+     * counting.
+     *
+     * @param payload A shared pointer to the MessageMeta instance to be set as the new payload.
      */
     void payload(const std::shared_ptr<MessageMeta>& payload);
 
+    /**
+     * @brief Retrieves the tensor memory associated with the control message.
+     *
+     * This method returns a shared pointer to the TensorMemory object linked with
+     * the control message, if any. TensorMemory typically contains or references
+     * tensors or other large data blobs relevant to the message's purpose.
+     *
+     * @return A shared pointer to the TensorMemory instance associated with the message,
+     *         or nullptr if no tensor memory is set.
+     */
+    std::shared_ptr<TensorMemory> tensors();
+
+    /**
+     * @brief Associates tensor memory with the control message.
+     *
+     * Sets the tensor memory for the control message to the provided TensorMemory instance.
+     * This tensor memory can contain tensors or large data blobs pertinent to the message.
+     * Utilizing a shared pointer facilitates efficient memory management through automatic
+     * reference counting.
+     *
+     * @param tensor_memory A shared pointer to the TensorMemory instance to be associated
+     *                      with the control message.
+     */
+    void tensors(const std::shared_ptr<TensorMemory>& tensor_memory);
+
     /**
      * @brief Get the type of task associated with the control message.
      * @return An enum value indicating the task type.
@@ -271,43 +328,189 @@ class ControlMessage
      */
     void task_type(ControlMessageType task_type);
 
+    /**
+     * @brief Sets a timestamp for a specific key.
+     *
+     * This method stores a timestamp associated with a unique identifier,
+     * If the key already exists, its timestamp will be updated to the new value.
+     *
+     * @param key The specific key for which the timestamp is to be set.
+     * @param timestamp The timestamp to be associated with the key.
+     */
+    void set_timestamp(const std::string& key, time_point_t timestamp_ns);
+
+    /**
+     * @brief Retrieves the timestamp for a specific key.
+     *
+     * Attempts to find and return the timestamp associated with the specified key.
+     * If the key does not exist, the method's behavior is determined by the fail_if_nonexist flag.
+     *
+     * @param key The specific key for which the timestamp is requested.
+     * @param fail_if_nonexist If true, the method throws an exception if the timestamp doesn't exist.
+     *                         If false, returns std::nullopt for non-existing timestamps.
+     * @return An optional containing the timestamp if found, or std::nullopt
+     * otherwise.
+     */
+    std::optional<time_point_t> get_timestamp(const std::string& key, bool fail_if_nonexist = false);
+
+    /**
+     * @brief Retrieves timestamps for all keys that match a regex pattern.
+     *
+     * Searches for the specified for keys that match the provided regex filter and returns
+     * a map of these keys and their associated timestamps.
+     *
+     * @param regex_filter A regular expression pattern that keys must match to be included in the result.
+     * @return A map containing the matching key and their timestamps. The map will be empty if no matches are found.
+     */
+    std::map<std::string, time_point_t> filter_timestamp(const std::string& regex_filter);
+
   private:
     static const std::string s_config_schema;                          // NOLINT
     static std::map<std::string, ControlMessageType> s_task_type_map;  // NOLINT
 
     ControlMessageType m_cm_type{ControlMessageType::NONE};
     std::shared_ptr<MessageMeta> m_payload{nullptr};
+    std::shared_ptr<TensorMemory> m_tensors{nullptr};
 
     nlohmann::json m_tasks{};
     nlohmann::json m_config{};
+
+    std::map<std::string, time_point_t> m_timestamps{};
 };
 
 struct ControlMessageProxy
 {
+    /**
+     * @brief Creates a new ControlMessage instance from a configuration dictionary.
+     * @param config A pybind11::dict representing the configuration for the ControlMessage.
+     * @return A shared_ptr to a newly created ControlMessage instance.
+     */
     static std::shared_ptr<ControlMessage> create(pybind11::dict& config);
+
+    /**
+     * @brief Creates a new ControlMessage instance as a copy of an existing one.
+     * @param other A shared_ptr to another ControlMessage instance to copy.
+     * @return A shared_ptr to the newly copied ControlMessage instance.
+     */
     static std::shared_ptr<ControlMessage> create(std::shared_ptr<ControlMessage> other);
 
+    /**
+     * @brief Creates a deep copy of the ControlMessage instance.
+     * @param self Reference to the underlying ControlMessage object.
+     * @return A shared_ptr to the copied ControlMessage instance.
+     */
     static std::shared_ptr<ControlMessage> copy(ControlMessage& self);
 
+    /**
+     * @brief Retrieves the configuration of the ControlMessage as a dictionary.
+     * @param self Reference to the underlying ControlMessage object.
+     * @return A pybind11::dict representing the ControlMessage's configuration.
+     */
     static pybind11::dict config(ControlMessage& self);
 
-    // Required for proxy conversion of json -> dict in python
+    /**
+     * @brief Updates the configuration of the ControlMessage from a dictionary.
+     * @param self Reference to the underlying ControlMessage object.
+     * @param config A pybind11::dict representing the new configuration.
+     */
     static void config(ControlMessage& self, pybind11::dict& config);
 
+    /**
+     * @brief Adds a task to the ControlMessage.
+     * @param self Reference to the underlying ControlMessage object.
+     * @param type The type of the task to be added.
+     * @param task A pybind11::dict representing the task to be added.
+     */
     static void add_task(ControlMessage& self, const std::string& type, pybind11::dict& task);
+
+    /**
+     * @brief Removes and returns a task of the given type from the ControlMessage.
+     * @param self Reference to the underlying ControlMessage object.
+     * @param type The type of the task to be removed.
+     * @return A pybind11::dict representing the removed task.
+     */
     static pybind11::dict remove_task(ControlMessage& self, const std::string& type);
+
+    /**
+     * @brief Retrieves all tasks from the ControlMessage.
+     * @param self Reference to the underlying ControlMessage object.
+     * @return A pybind11::dict containing all tasks.
+     */
     static pybind11::dict get_tasks(ControlMessage& self);
 
     /**
-     * @brief Set a metadata key-value pair -- value must be json serializable
-     * @param self
-     * @param key
-     * @param value
+     * @brief Sets a metadata key-value pair.
+     * @param self Reference to the underlying ControlMessage object.
+     * @param key The key for the metadata entry.
+     * @param value The value for the metadata entry, must be JSON serializable.
      */
     static void set_metadata(ControlMessage& self, const std::string& key, pybind11::object& value);
-    static pybind11::object get_metadata(ControlMessage& self, std::optional<std::string> const& key);
 
-    static pybind11::dict list_metadata(ControlMessage& self);
+    /**
+     * @brief Retrieves a metadata value by key, with an optional default value.
+     *
+     * @param self Reference to the underlying ControlMessage object.
+     * @param key The key for the metadata entry. If not provided, retrieves all metadata.
+     * @param default_value An optional default value to return if the key does not exist.
+     * @return The value associated with the key, the default value if the key is not found, or all metadata if the key
+     * is not provided.
+     */
+    static pybind11::object get_metadata(ControlMessage& self,
+                                         const pybind11::object& key,
+                                         pybind11::object default_value);
+
+    /**
+     * @brief Lists all metadata keys of the ControlMessage.
+     * @param self Reference to the underlying ControlMessage object.
+     * @return A pybind11::list containing all metadata keys.
+     */
+    static pybind11::list list_metadata(ControlMessage& self);
+
+    /**
+     * @brief Set the payload object given a Python instance of MessageMeta
+     * @param meta
+     */
+    static void payload_from_python_meta(ControlMessage& self, const pybind11::object& meta);
+
+    /**
+     * @brief Sets a timestamp for a given key.
+     * @param self Reference to the underlying ControlMessage object.
+     * @param key The key associated with the timestamp.
+     * @param timestamp A datetime.datetime object representing the timestamp.
+     *
+     * This method directly takes a datetime.datetime object from Python and sets the corresponding
+     * std::chrono::system_clock::time_point for the specified key in the ControlMessage object.
+     */
+    static void set_timestamp(ControlMessage& self, const std::string& key, pybind11::object timestamp);
+
+    /**
+     * @brief Retrieves the timestamp for a specific key from the ControlMessage object.
+     *
+     * @param self Reference to the underlying ControlMessage object.
+     * @param key The specific key for which the timestamp is requested.
+     * @param fail_if_nonexist Determines the behavior when the requested timestamp does not exist.
+     *                         If true, an exception is thrown. If false, py::none is returned.
+     * @return A datetime.datetime object representing the timestamp if found, or py::none if not found
+     *         and fail_if_nonexist is false.
+     *
+     * This method fetches the timestamp associated with the specified key and returns it as a
+     * datetime.datetime object in Python. If the timestamp does not exist and fail_if_nonexist is true,
+     * an exception is raised.
+     */
+    static pybind11::object get_timestamp(ControlMessage& self, const std::string& key, bool fail_if_nonexist = false);
+
+    /**
+     * @brief Retrieves timestamps for all keys that match a regex pattern from the ControlMessage object.
+     *
+     * @param self Reference to the underlying ControlMessage object.
+     * @param regex_filter The regex pattern that keys must match to be included in the result.
+     * @return A Python dictionary of matching keys and their timestamps as datetime.datetime objects.
+     *
+     * This method retrieves all timestamps within the ControlMessage object that match a specified
+     * regex pattern. Each key and its associated timestamp are returned in a Python dictionary, with
+     * timestamps represented as datetime.datetime objects.
+     */
+    static pybind11::dict filter_timestamp(ControlMessage& self, const std::string& regex_filter);
 };
 
 #pragma GCC visibility pop
diff --git a/morpheus/_lib/include/morpheus/messages/memory/inference_memory.hpp b/morpheus/_lib/include/morpheus/messages/memory/inference_memory.hpp
index a7f8686e2b..70ab9c538a 100644
--- a/morpheus/_lib/include/morpheus/messages/memory/inference_memory.hpp
+++ b/morpheus/_lib/include/morpheus/messages/memory/inference_memory.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/memory/inference_memory_fil.hpp b/morpheus/_lib/include/morpheus/messages/memory/inference_memory_fil.hpp
index 2ab9a2f82e..0fb7b2882b 100644
--- a/morpheus/_lib/include/morpheus/messages/memory/inference_memory_fil.hpp
+++ b/morpheus/_lib/include/morpheus/messages/memory/inference_memory_fil.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,6 +17,7 @@
 
 #pragma once
 
+#include "morpheus/export.h"
 #include "morpheus/messages/memory/inference_memory.hpp"
 #include "morpheus/objects/tensor_object.hpp"
 #include "morpheus/types.hpp"  // for TensorIndex
@@ -34,12 +35,11 @@ namespace morpheus {
  * @{
  * @file
  */
-
 /**
  * This is a container class for data that needs to be submitted to the inference server for FIL category
  * usecases.
  */
-class InferenceMemoryFIL : public InferenceMemory
+class MORPHEUS_EXPORT InferenceMemoryFIL : public InferenceMemory
 {
   public:
     /**
diff --git a/morpheus/_lib/include/morpheus/messages/memory/inference_memory_nlp.hpp b/morpheus/_lib/include/morpheus/messages/memory/inference_memory_nlp.hpp
index 12be7a4370..156c8f091f 100644
--- a/morpheus/_lib/include/morpheus/messages/memory/inference_memory_nlp.hpp
+++ b/morpheus/_lib/include/morpheus/messages/memory/inference_memory_nlp.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/memory/response_memory.hpp b/morpheus/_lib/include/morpheus/messages/memory/response_memory.hpp
index 3eb34fb145..69f243a2db 100644
--- a/morpheus/_lib/include/morpheus/messages/memory/response_memory.hpp
+++ b/morpheus/_lib/include/morpheus/messages/memory/response_memory.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/memory/response_memory_probs.hpp b/morpheus/_lib/include/morpheus/messages/memory/response_memory_probs.hpp
index 787e746456..f5f105fe4c 100644
--- a/morpheus/_lib/include/morpheus/messages/memory/response_memory_probs.hpp
+++ b/morpheus/_lib/include/morpheus/messages/memory/response_memory_probs.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/memory/tensor_memory.hpp b/morpheus/_lib/include/morpheus/messages/memory/tensor_memory.hpp
index 9972fef5fd..bdee9f4397 100644
--- a/morpheus/_lib/include/morpheus/messages/memory/tensor_memory.hpp
+++ b/morpheus/_lib/include/morpheus/messages/memory/tensor_memory.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/meta.hpp b/morpheus/_lib/include/morpheus/messages/meta.hpp
index 8b73bbfc6f..11439b7e10 100644
--- a/morpheus/_lib/include/morpheus/messages/meta.hpp
+++ b/morpheus/_lib/include/morpheus/messages/meta.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,6 +19,7 @@
 
 #include "morpheus/objects/data_table.hpp"  // for IDataTable
 #include "morpheus/objects/table_info.hpp"
+#include "morpheus/objects/tensor_object.hpp"
 #include "morpheus/types.hpp"  // for TensorIndex
 
 #include <cudf/io/types.hpp>
@@ -30,6 +31,7 @@
 #include <vector>
 
 namespace morpheus {
+
 #pragma GCC visibility push(default)
 /****** Component public implementations ******************/
 /****** MessageMeta****************************************/
@@ -64,6 +66,38 @@ class MessageMeta
      */
     virtual TableInfo get_info() const;
 
+    /**
+     * @brief Get the info object for a specific column
+     *
+     * @param col_name The name of the column to slice
+     * @return TableInfo The table info containing only the column specified
+     */
+    virtual TableInfo get_info(const std::string& col_name) const;
+
+    /**
+     * @brief Get the info object for a specific set of columns
+     *
+     * @param column_names The names of the columns to slice
+     * @return TableInfo The table info containing only the columns specified, in the order specified
+     */
+    virtual TableInfo get_info(const std::vector<std::string>& column_names) const;
+
+    /**
+     * @brief Set the data for a single column from a TensorObject
+     *
+     * @param col_name The name of the column to set
+     * @param tensor The tensor to set the column to
+     */
+    virtual void set_data(const std::string& col_name, TensorObject tensor);
+
+    /**
+     * @brief Set the data for multiple columns from a vector of TensorObjects
+     *
+     * @param column_names The names of the columns to set
+     * @param tensors The tensors to set the columns to
+     */
+    virtual void set_data(const std::vector<std::string>& column_names, const std::vector<TensorObject>& tensors);
+
     /**
      * TODO(Documentation)
      */
@@ -171,6 +205,15 @@ struct MessageMetaInterfaceProxy
      */
     static std::shared_ptr<MessageMeta> init_python(pybind11::object&& data_frame);
 
+    /**
+     * @brief Initialize MessageMeta cpp object with a given a MessageMeta python objectand returns shared pointer as
+     * the result
+     *
+     * @param meta : Python MesageMeta object
+     * @return std::shared_ptr<MessageMeta>
+     */
+    static std::shared_ptr<MessageMeta> init_python_meta(const pybind11::object& meta);
+
     /**
      * @brief Get messages count
      *
@@ -179,6 +222,51 @@ struct MessageMetaInterfaceProxy
      */
     static TensorIndex count(MessageMeta& self);
 
+    /**
+     * @brief Gets a DataFrame for all columns
+     *
+     * @param self The MessageMeta instance
+     * @return pybind11::object A python DataFrame containing the info for all columns
+     */
+    static pybind11::object get_data(MessageMeta& self);
+
+    /**
+     * @brief Get a Series for a single column
+     *
+     * @param self The MessageMeta instance
+     * @param col_name The name of the column to get
+     * @return pybind11::object A python Series containing the info for the specified column
+     */
+    static pybind11::object get_data(MessageMeta& self, std::string col_name);
+
+    /**
+     * @brief Get a DataFrame for a set of columns
+     *
+     * @param self The MessageMeta instance
+     * @param columns The names of the columns to get
+     * @return pybind11::object A python DataFrame containing the info for the specified columns, in the order specified
+     */
+    static pybind11::object get_data(MessageMeta& self, std::vector<std::string> columns);
+
+    /**
+     * @brief Gets a DataFrame for all columns. This is only used for overload resolution from python
+     *
+     * @param self The MessageMeta instance
+     * @param none_obj An object of None
+     * @return pybind11::object A python DataFrame containing the info for all columns
+     */
+    static pybind11::object get_data(MessageMeta& self, pybind11::none none_obj);
+
+    /**
+     * @brief Set the values for one or more columns from a python object
+     *
+     * @param self The MessageMeta instance
+     * @param columns The names of the columns to set
+     * @param value The value to set the columns to. This can be a scalar, a list, a numpy array, a Series, or a
+     * DataFrame. The dimension must match the number of columns according to DataFrame broadcasting rules.
+     */
+    static void set_data(MessageMeta& self, pybind11::object columns, pybind11::object value);
+
     static std::vector<std::string> get_column_names(MessageMeta& self);
 
     /**
@@ -188,6 +276,7 @@ struct MessageMetaInterfaceProxy
      * @return pybind11::object A `DataFrame` object
      */
     static pybind11::object get_data_frame(MessageMeta& self);
+
     static pybind11::object df_property(MessageMeta& self);
 
     static MutableTableCtxMgr mutable_dataframe(MessageMeta& self);
diff --git a/morpheus/_lib/include/morpheus/messages/multi.hpp b/morpheus/_lib/include/morpheus/messages/multi.hpp
index e7659b52c4..b4cf6a05a9 100644
--- a/morpheus/_lib/include/morpheus/messages/multi.hpp
+++ b/morpheus/_lib/include/morpheus/messages/multi.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/multi_inference.hpp b/morpheus/_lib/include/morpheus/messages/multi_inference.hpp
index 2ceb8ac73c..9b89997ef9 100644
--- a/morpheus/_lib/include/morpheus/messages/multi_inference.hpp
+++ b/morpheus/_lib/include/morpheus/messages/multi_inference.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/multi_inference_fil.hpp b/morpheus/_lib/include/morpheus/messages/multi_inference_fil.hpp
index b1bdac40a7..c0ee61275f 100644
--- a/morpheus/_lib/include/morpheus/messages/multi_inference_fil.hpp
+++ b/morpheus/_lib/include/morpheus/messages/multi_inference_fil.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/multi_inference_nlp.hpp b/morpheus/_lib/include/morpheus/messages/multi_inference_nlp.hpp
index c4007051e2..a3d24d8aa2 100644
--- a/morpheus/_lib/include/morpheus/messages/multi_inference_nlp.hpp
+++ b/morpheus/_lib/include/morpheus/messages/multi_inference_nlp.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/multi_response.hpp b/morpheus/_lib/include/morpheus/messages/multi_response.hpp
index 53dbfa047d..c6765424f1 100644
--- a/morpheus/_lib/include/morpheus/messages/multi_response.hpp
+++ b/morpheus/_lib/include/morpheus/messages/multi_response.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/multi_response_probs.hpp b/morpheus/_lib/include/morpheus/messages/multi_response_probs.hpp
index a85ac5ad77..085eab6a6b 100644
--- a/morpheus/_lib/include/morpheus/messages/multi_response_probs.hpp
+++ b/morpheus/_lib/include/morpheus/messages/multi_response_probs.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/messages/multi_tensor.hpp b/morpheus/_lib/include/morpheus/messages/multi_tensor.hpp
index b8247403eb..30de97cb17 100644
--- a/morpheus/_lib/include/morpheus/messages/multi_tensor.hpp
+++ b/morpheus/_lib/include/morpheus/messages/multi_tensor.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/modules/data_loader_module.hpp b/morpheus/_lib/include/morpheus/modules/data_loader_module.hpp
index 259c74c9af..29b5793099 100644
--- a/morpheus/_lib/include/morpheus/modules/data_loader_module.hpp
+++ b/morpheus/_lib/include/morpheus/modules/data_loader_module.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/data_table.hpp b/morpheus/_lib/include/morpheus/objects/data_table.hpp
index 42d3ae8d65..bc4dea4585 100644
--- a/morpheus/_lib/include/morpheus/objects/data_table.hpp
+++ b/morpheus/_lib/include/morpheus/objects/data_table.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/dev_mem_info.hpp b/morpheus/_lib/include/morpheus/objects/dev_mem_info.hpp
index 31776945ab..67179b070f 100644
--- a/morpheus/_lib/include/morpheus/objects/dev_mem_info.hpp
+++ b/morpheus/_lib/include/morpheus/objects/dev_mem_info.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/dtype.hpp b/morpheus/_lib/include/morpheus/objects/dtype.hpp
index 852603ae9f..aa8c42e92f 100644
--- a/morpheus/_lib/include/morpheus/objects/dtype.hpp
+++ b/morpheus/_lib/include/morpheus/objects/dtype.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/factory_registry.hpp b/morpheus/_lib/include/morpheus/objects/factory_registry.hpp
index f1c60f055b..15f7d0ff05 100644
--- a/morpheus/_lib/include/morpheus/objects/factory_registry.hpp
+++ b/morpheus/_lib/include/morpheus/objects/factory_registry.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/fiber_queue.hpp b/morpheus/_lib/include/morpheus/objects/fiber_queue.hpp
index cd97851bfc..f64f0a9928 100644
--- a/morpheus/_lib/include/morpheus/objects/fiber_queue.hpp
+++ b/morpheus/_lib/include/morpheus/objects/fiber_queue.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/file_types.hpp b/morpheus/_lib/include/morpheus/objects/file_types.hpp
index ac38bc3dbd..329ade91ef 100644
--- a/morpheus/_lib/include/morpheus/objects/file_types.hpp
+++ b/morpheus/_lib/include/morpheus/objects/file_types.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,6 +18,7 @@
 #pragma once
 
 #include <cstdint>
+#include <filesystem>  // for path
 #include <ostream>
 #include <stdexcept>
 #include <string>
@@ -84,6 +85,15 @@ static inline std::ostream& operator<<(std::ostream& os, const FileTypes& f)
  */
 FileTypes determine_file_type(const std::string& filename);
 
+/**
+ * @brief Determines the file type from a filename based on extension. For example, my_file.json would return
+ * `FileTypes::JSON`.
+ *
+ * @param filename path to a file. Does not need to exist
+ * @return FileTypes
+ */
+FileTypes determine_file_type(const std::filesystem::path& filename);
+
 #pragma GCC visibility pop
 
 /** @} */  // end of group
diff --git a/morpheus/_lib/include/morpheus/objects/filter_source.hpp b/morpheus/_lib/include/morpheus/objects/filter_source.hpp
index a39bc4b789..7034b0c224 100644
--- a/morpheus/_lib/include/morpheus/objects/filter_source.hpp
+++ b/morpheus/_lib/include/morpheus/objects/filter_source.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/memory_descriptor.hpp b/morpheus/_lib/include/morpheus/objects/memory_descriptor.hpp
index 3d692a4a5c..83d98fc2bd 100644
--- a/morpheus/_lib/include/morpheus/objects/memory_descriptor.hpp
+++ b/morpheus/_lib/include/morpheus/objects/memory_descriptor.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,7 +20,8 @@
 #include "morpheus/export.h"
 
 #include <rmm/cuda_stream_view.hpp>
-#include <rmm/mr/device/device_memory_resource.hpp>
+
+#include "cuda/memory_resource"
 
 /**
  * @brief Struct describing device memory resources.
@@ -35,8 +36,8 @@ struct MORPHEUS_EXPORT MemoryDescriptor
      * @param stream
      * @param memory_resource
      */
-    MemoryDescriptor(rmm::cuda_stream_view stream                  = rmm::cuda_stream_per_thread,
-                     rmm::mr::device_memory_resource* mem_resource = nullptr);
+    MemoryDescriptor(rmm::cuda_stream_view stream,
+                     cuda::mr::async_resource_ref<cuda::mr::device_accessible> mem_resource);
     MemoryDescriptor(MemoryDescriptor& other)  = default;
     MemoryDescriptor(MemoryDescriptor&& other) = default;
 
@@ -44,5 +45,5 @@ struct MORPHEUS_EXPORT MemoryDescriptor
     rmm::cuda_stream_view cuda_stream;
 
     // Memory resource
-    rmm::mr::device_memory_resource* memory_resource;
+    cuda::mr::async_resource_ref<cuda::mr::device_accessible> memory_resource;
 };
diff --git a/morpheus/_lib/include/morpheus/objects/mutable_table_ctx_mgr.hpp b/morpheus/_lib/include/morpheus/objects/mutable_table_ctx_mgr.hpp
index ba5b14ccf0..42bda09738 100644
--- a/morpheus/_lib/include/morpheus/objects/mutable_table_ctx_mgr.hpp
+++ b/morpheus/_lib/include/morpheus/objects/mutable_table_ctx_mgr.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/python_data_table.hpp b/morpheus/_lib/include/morpheus/objects/python_data_table.hpp
index 3ea3e499e4..9944fa5302 100644
--- a/morpheus/_lib/include/morpheus/objects/python_data_table.hpp
+++ b/morpheus/_lib/include/morpheus/objects/python_data_table.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/rmm_tensor.hpp b/morpheus/_lib/include/morpheus/objects/rmm_tensor.hpp
index a6c33c7054..48e18fe045 100644
--- a/morpheus/_lib/include/morpheus/objects/rmm_tensor.hpp
+++ b/morpheus/_lib/include/morpheus/objects/rmm_tensor.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/table_info.hpp b/morpheus/_lib/include/morpheus/objects/table_info.hpp
index d692a28166..d4e719abd2 100644
--- a/morpheus/_lib/include/morpheus/objects/table_info.hpp
+++ b/morpheus/_lib/include/morpheus/objects/table_info.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -185,9 +185,9 @@ struct MORPHEUS_EXPORT MutableTableInfo : public TableInfoBase
      * lifetime of `MutableTableInfo`. Use this method when it is necessary to make changes to the python object using
      * the python API. The python object must be returned via `return_obj` before `MutableTableInfo` goes out of scope.
      *
-     * @return pybind11::object
+     * @return std::unique_ptr<pybind11::object>
      */
-    pybind11::object checkout_obj();
+    std::unique_ptr<pybind11::object> checkout_obj();
 
     /**
      * @brief Returns the checked out python object from `checkout_obj`. Each call to `checkout_obj` needs a
@@ -195,7 +195,7 @@ struct MORPHEUS_EXPORT MutableTableInfo : public TableInfoBase
      *
      * @param obj
      */
-    void return_obj(pybind11::object&& obj);
+    void return_obj(std::unique_ptr<pybind11::object>&& obj);
 
     /**
      * @brief Replaces the index in the underlying dataframe if the existing one is not unique and monotonic. The old
diff --git a/morpheus/_lib/include/morpheus/objects/table_info_data.hpp b/morpheus/_lib/include/morpheus/objects/table_info_data.hpp
index cbf506f552..088a9bbcd1 100644
--- a/morpheus/_lib/include/morpheus/objects/table_info_data.hpp
+++ b/morpheus/_lib/include/morpheus/objects/table_info_data.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,6 +20,7 @@
 #include <cudf/table/table_view.hpp>
 #include <cudf/types.hpp>  // for size_type
 
+#include <numeric>
 #include <string>
 #include <vector>
 
@@ -40,11 +41,25 @@ struct TableInfoData
       table_view(std::move(view)),
       index_names(std::move(indices)),
       column_names(std::move(columns))
+    {
+        std::vector<cudf::size_type> col_indices(column_names.size());
+        std::iota(col_indices.begin(), col_indices.end(), 0);
+        column_indices = std::move(col_indices);
+    }
+    TableInfoData(cudf::table_view view,
+                  std::vector<std::string> indices,
+                  std::vector<std::string> columns,
+                  std::vector<cudf::size_type> col_indicies) :
+      table_view(std::move(view)),
+      index_names(std::move(indices)),
+      column_names(std::move(columns)),
+      column_indices(std::move(col_indicies))
     {}
 
     cudf::table_view table_view;
     std::vector<std::string> index_names;
     std::vector<std::string> column_names;
+    std::vector<cudf::size_type> column_indices;
 };
 
 }  // namespace morpheus
diff --git a/morpheus/_lib/include/morpheus/objects/tensor.hpp b/morpheus/_lib/include/morpheus/objects/tensor.hpp
index 0717793c89..93f5fe3aba 100644
--- a/morpheus/_lib/include/morpheus/objects/tensor.hpp
+++ b/morpheus/_lib/include/morpheus/objects/tensor.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,6 +21,7 @@
 #include "morpheus/objects/tensor_object.hpp"
 #include "morpheus/types.hpp"  // for ShapeType, TensorIndex, TensorSize
 
+#include <rmm/cuda_stream_view.hpp>
 #include <rmm/device_buffer.hpp>
 
 #include <cstdint>  // for uint8_t
diff --git a/morpheus/_lib/include/morpheus/objects/tensor_object.hpp b/morpheus/_lib/include/morpheus/objects/tensor_object.hpp
index 0be6574d37..f3548075a2 100644
--- a/morpheus/_lib/include/morpheus/objects/tensor_object.hpp
+++ b/morpheus/_lib/include/morpheus/objects/tensor_object.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/triton_in_out.hpp b/morpheus/_lib/include/morpheus/objects/triton_in_out.hpp
index bd3fd1c9a8..906b5cdc56 100644
--- a/morpheus/_lib/include/morpheus/objects/triton_in_out.hpp
+++ b/morpheus/_lib/include/morpheus/objects/triton_in_out.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/objects/wrapped_tensor.hpp b/morpheus/_lib/include/morpheus/objects/wrapped_tensor.hpp
index befcbc3ec2..d035744c07 100644
--- a/morpheus/_lib/include/morpheus/objects/wrapped_tensor.hpp
+++ b/morpheus/_lib/include/morpheus/objects/wrapped_tensor.hpp
@@ -1,6 +1,6 @@
 
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/pybind11/input_map.hpp b/morpheus/_lib/include/morpheus/pybind11/input_map.hpp
index 719f1fcf70..eaa9371d0c 100644
--- a/morpheus/_lib/include/morpheus/pybind11/input_map.hpp
+++ b/morpheus/_lib/include/morpheus/pybind11/input_map.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/pybind11/json.hpp b/morpheus/_lib/include/morpheus/pybind11/json.hpp
index 37fa8dc5e2..ae87c0c8cd 100644
--- a/morpheus/_lib/include/morpheus/pybind11/json.hpp
+++ b/morpheus/_lib/include/morpheus/pybind11/json.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -99,7 +99,8 @@ struct type_caster<nlohmann::json_dict>
             return false;
         }
 
-        value = mrc::pymrc::cast_from_pyobject(pybind11::reinterpret_borrow<pybind11::object>(src));
+        value = static_cast<const nlohmann::json_dict>(
+            mrc::pymrc::cast_from_pyobject(pybind11::reinterpret_borrow<pybind11::object>(src)));
 
         return true;
     }
@@ -145,7 +146,8 @@ struct type_caster<nlohmann::json_list>
             return false;
         }
 
-        value = mrc::pymrc::cast_from_pyobject(pybind11::reinterpret_borrow<pybind11::object>(src));
+        value = static_cast<const nlohmann::json_list>(
+            mrc::pymrc::cast_from_pyobject(pybind11::reinterpret_borrow<pybind11::object>(src)));
 
         return true;
     }
diff --git a/morpheus/_lib/include/morpheus/stages/add_classification.hpp b/morpheus/_lib/include/morpheus/stages/add_classification.hpp
index 88c37fb973..d37981c342 100644
--- a/morpheus/_lib/include/morpheus/stages/add_classification.hpp
+++ b/morpheus/_lib/include/morpheus/stages/add_classification.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,15 +17,18 @@
 
 #pragma once
 
-#include "morpheus/stages/add_scores_stage_base.hpp"
+#include "morpheus/messages/control.hpp"              // for ControlMessage
+#include "morpheus/messages/multi_response.hpp"       // for MultiResponseMessage
+#include "morpheus/stages/add_scores_stage_base.hpp"  // for AddScoresStageBase
 
-#include <mrc/segment/builder.hpp>
-#include <mrc/segment/object.hpp>
+#include <mrc/segment/builder.hpp>  // for Builder
+#include <mrc/segment/object.hpp>   // for Object
+#include <rxcpp/rx.hpp>             // for trace_activity
 
 #include <cstddef>  // for size_t
-#include <map>
-#include <memory>
-#include <string>
+#include <map>      // for map
+#include <memory>   // for shared_ptr
+#include <string>   // for string
 
 namespace morpheus {
 
@@ -43,7 +46,8 @@ namespace morpheus {
  * @brief Add detected classifications to each message. Classification labels based on probabilities calculated in
  * inference stage. Label indexes will be looked up in the idx2label property.
  */
-class AddClassificationsStage : public AddScoresStageBase
+template <typename InputT, typename OutputT>
+class AddClassificationsStage : public AddScoresStageBase<InputT, OutputT>
 {
   public:
     /**
@@ -55,6 +59,11 @@ class AddClassificationsStage : public AddScoresStageBase
     AddClassificationsStage(std::map<std::size_t, std::string> idx2label, float threshold);
 };
 
+using AddClassificationsStageMM =  // NOLINT(readability-identifier-naming)
+    AddClassificationsStage<MultiResponseMessage, MultiResponseMessage>;
+using AddClassificationsStageCM =  // NOLINT(readability-identifier-naming)
+    AddClassificationsStage<ControlMessage, ControlMessage>;
+
 /****** AddClassificationStageInterfaceProxy******************/
 /**
  * @brief Interface proxy, used to insulate python bindings.
@@ -62,15 +71,33 @@ class AddClassificationsStage : public AddScoresStageBase
 struct AddClassificationStageInterfaceProxy
 {
     /**
-     * @brief Create and initialize a AddClassificationStage, and return the result
+     * @brief Create and initialize a AddClassificationStage that receives MultiResponseMessage and emits
+     * MultiResponseMessage, and return the result
+     *
+     * @param builder : Pipeline context object reference
+     * @param name : Name of a stage reference
+     * @param idx2label : Index to classification labels map
+     * @param threshold : Threshold to consider true/false for each class
+     * @return std::shared_ptr<mrc::segment::Object<AddClassificationsStage<MultiResponseMessage,
+     * MultiResponseMessage>>>
+     */
+    static std::shared_ptr<mrc::segment::Object<AddClassificationsStage<MultiResponseMessage, MultiResponseMessage>>>
+    init_multi(mrc::segment::Builder& builder,
+               const std::string& name,
+               std::map<std::size_t, std::string> idx2label,
+               float threshold);
+
+    /**
+     * @brief Create and initialize a AddClassificationStage that receives ControlMessage and emits ControlMessage, and
+     * return the result
      *
      * @param builder : Pipeline context object reference
      * @param name : Name of a stage reference
      * @param idx2label : Index to classification labels map
      * @param threshold : Threshold to consider true/false for each class
-     * @return std::shared_ptr<mrc::segment::Object<AddClassificationsStage>>
+     * @return std::shared_ptr<mrc::segment::Object<AddClassificationsStage<ControlMessage, ControlMessage>>>
      */
-    static std::shared_ptr<mrc::segment::Object<AddClassificationsStage>> init(
+    static std::shared_ptr<mrc::segment::Object<AddClassificationsStage<ControlMessage, ControlMessage>>> init_cm(
         mrc::segment::Builder& builder,
         const std::string& name,
         std::map<std::size_t, std::string> idx2label,
diff --git a/morpheus/_lib/include/morpheus/stages/add_scores.hpp b/morpheus/_lib/include/morpheus/stages/add_scores.hpp
index fb393a51d1..df133606cb 100644
--- a/morpheus/_lib/include/morpheus/stages/add_scores.hpp
+++ b/morpheus/_lib/include/morpheus/stages/add_scores.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,15 +17,18 @@
 
 #pragma once
 
-#include "morpheus/stages/add_scores_stage_base.hpp"
+#include "morpheus/messages/control.hpp"              // for ControlMessage
+#include "morpheus/messages/multi_response.hpp"       // for MultiResponseMessage
+#include "morpheus/stages/add_scores_stage_base.hpp"  // for AddScoresStageBase
 
-#include <mrc/segment/builder.hpp>
-#include <mrc/segment/object.hpp>
+#include <mrc/segment/builder.hpp>  // for Builder
+#include <mrc/segment/object.hpp>   // for Object
+#include <rxcpp/rx.hpp>             // for trace_activity
 
 #include <cstddef>  // for size_t
-#include <map>
-#include <memory>
-#include <string>
+#include <map>      // for map
+#include <memory>   // for shared_ptr
+#include <string>   // for string
 
 namespace morpheus {
 /****** Component public implementations *******************/
@@ -42,7 +45,8 @@ namespace morpheus {
  * @brief Add probability scores to each message. Score labels based on probabilities calculated in inference stage.
  * Label indexes will be looked up in the idx2label property.
  */
-class AddScoresStage : public AddScoresStageBase
+template <typename InputT, typename OutputT>
+class AddScoresStage : public AddScoresStageBase<InputT, OutputT>
 {
   public:
     /**
@@ -53,6 +57,11 @@ class AddScoresStage : public AddScoresStageBase
     AddScoresStage(std::map<std::size_t, std::string> idx2label);
 };
 
+using AddScoresStageMM =  // NOLINT(readability-identifier-naming)
+    AddScoresStage<MultiResponseMessage, MultiResponseMessage>;
+using AddScoresStageCM =  // NOLINT(readability-identifier-naming)
+    AddScoresStage<ControlMessage, ControlMessage>;
+
 /****** AddScoresStageInterfaceProxy******************/
 /**
  * @brief Interface proxy, used to insulate python bindings.
@@ -60,17 +69,30 @@ class AddScoresStage : public AddScoresStageBase
 struct AddScoresStageInterfaceProxy
 {
     /**
-     * @brief Create and initialize a AddScoresStage, and return the result
+     * @brief Create and initialize a AddScoresStage that receives MultiResponseMessage and emits MultiResponseMessage,
+     * and return the result
+     *
+     * @param builder : Pipeline context object reference
+     * @param name : Name of a stage reference
+     * @param num_class_labels : Number of classification labels
+     * @param idx2label : Index to classification labels map
+     * @return std::shared_ptr<mrc::segment::Object<AddScoresStage<MultiResponseMessage, MultiResponseMessage>>>
+     */
+    static std::shared_ptr<mrc::segment::Object<AddScoresStage<MultiResponseMessage, MultiResponseMessage>>> init_multi(
+        mrc::segment::Builder& builder, const std::string& name, std::map<std::size_t, std::string> idx2label);
+
+    /**
+     * @brief Create and initialize a AddScoresStage that receives ControlMessage and emits ControlMessage,
+     * and return the result
      *
      * @param builder : Pipeline context object reference
      * @param name : Name of a stage reference
      * @param num_class_labels : Number of classification labels
      * @param idx2label : Index to classification labels map
-     * @return std::shared_ptr<mrc::segment::Object<AddScoresStage>>
+     * @return std::shared_ptr<mrc::segment::Object<AddScoresStage<ControlMessage, ControlMessage>>>
      */
-    static std::shared_ptr<mrc::segment::Object<AddScoresStage>> init(mrc::segment::Builder& builder,
-                                                                      const std::string& name,
-                                                                      std::map<std::size_t, std::string> idx2label);
+    static std::shared_ptr<mrc::segment::Object<AddScoresStage<ControlMessage, ControlMessage>>> init_cm(
+        mrc::segment::Builder& builder, const std::string& name, std::map<std::size_t, std::string> idx2label);
 };
 
 #pragma GCC visibility pop
diff --git a/morpheus/_lib/include/morpheus/stages/add_scores_stage_base.hpp b/morpheus/_lib/include/morpheus/stages/add_scores_stage_base.hpp
index d033e14ec2..da8dff1214 100644
--- a/morpheus/_lib/include/morpheus/stages/add_scores_stage_base.hpp
+++ b/morpheus/_lib/include/morpheus/stages/add_scores_stage_base.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,25 +17,21 @@
 
 #pragma once
 
-#include "morpheus/messages/multi_response.hpp"  // for MultiResponseMessage
+#include "morpheus/messages/control.hpp"
+#include "morpheus/messages/multi_response.hpp"
 
 #include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/sink_properties.hpp>
-#include <mrc/node/source_properties.hpp>
-#include <mrc/types.hpp>
 #include <pymrc/node.hpp>
 #include <rxcpp/rx.hpp>
 
-#include <cstddef>  // for size_t
+#include <cstddef>
 #include <map>
 #include <memory>
 #include <optional>
 #include <string>
 #include <thread>
-#include <vector>
+
+// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
 
 namespace morpheus {
 /****** Component public implementations *******************/
@@ -51,11 +47,11 @@ namespace morpheus {
 /**
  * @brief Base class for both `AddScoresStage` and `AddClassificationStage`
  */
-class AddScoresStageBase
-  : public mrc::pymrc::PythonNode<std::shared_ptr<MultiResponseMessage>, std::shared_ptr<MultiResponseMessage>>
+template <typename InputT, typename OutputT>
+class AddScoresStageBase : public mrc::pymrc::PythonNode<std::shared_ptr<InputT>, std::shared_ptr<OutputT>>
 {
   public:
-    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<MultiResponseMessage>, std::shared_ptr<MultiResponseMessage>>;
+    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<InputT>, std::shared_ptr<OutputT>>;
     using typename base_t::sink_type_t;
     using typename base_t::source_type_t;
     using typename base_t::subscribe_fn_t;
@@ -68,12 +64,14 @@ class AddScoresStageBase
      */
     AddScoresStageBase(std::map<std::size_t, std::string> idx2label, std::optional<float> threshold);
 
-  private:
     /**
      * Called every time a message is passed to this stage
      */
     source_type_t on_data(sink_type_t x);
 
+  private:
+    void on_multi_response_message(std::shared_ptr<MultiResponseMessage> x);
+    void on_control_message(std::shared_ptr<ControlMessage> x);
     std::map<std::size_t, std::string> m_idx2label;
     std::optional<float> m_threshold;
 
@@ -81,6 +79,11 @@ class AddScoresStageBase
     std::size_t m_min_col_count;
 };
 
+using AddScoresStageBaseMM =  // NOLINT(readability-identifier-naming)
+    AddScoresStageBase<MultiResponseMessage, MultiResponseMessage>;
+using AddScoresStageBaseCM =  // NOLINT(readability-identifier-naming)
+    AddScoresStageBase<ControlMessage, ControlMessage>;
+
 #pragma GCC visibility pop
 /** @} */  // end of group
 }  // namespace morpheus
diff --git a/morpheus/_lib/include/morpheus/stages/deserialize.hpp b/morpheus/_lib/include/morpheus/stages/deserialize.hpp
index 0f1b88d535..9b93547132 100644
--- a/morpheus/_lib/include/morpheus/stages/deserialize.hpp
+++ b/morpheus/_lib/include/morpheus/stages/deserialize.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,32 +17,31 @@
 
 #pragma once
 
+#include "morpheus/messages/control.hpp"
 #include "morpheus/messages/meta.hpp"
 #include "morpheus/messages/multi.hpp"
-#include "morpheus/types.hpp"  // for TensorIndex
-
-#include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/sink_properties.hpp>
-#include <mrc/node/source_properties.hpp>
+#include "morpheus/types.hpp"                  // for TensorIndex
+#include "morpheus/utilities/python_util.hpp"  // for show_warning_message
+#include "morpheus/utilities/string_util.hpp"  // for MORPHEUS_CONCAT_STR
+
+#include <glog/logging.h>
 #include <mrc/segment/builder.hpp>
 #include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
+#include <nlohmann/json.hpp>
+#include <pybind11/pytypes.h>  // for object
+#include <pyerrors.h>          // for PyExc_RuntimeWarning
 #include <pymrc/node.hpp>
 #include <rxcpp/rx.hpp>
-// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
 
-#include <map>
+#include <algorithm>  // IWYU pragma: keep for std::min
+#include <exception>  // for exception_ptr
 #include <memory>
+#include <sstream>  // IWYU pragma: keep for glog
 #include <string>
-#include <thread>
-#include <vector>
+#include <utility>  // for pair
 
 namespace morpheus {
 /****** Component public implementations *******************/
-/****** DeserializationStage********************************/
 
 /**
  * @addtogroup stages
@@ -51,15 +50,26 @@ namespace morpheus {
  */
 
 #pragma GCC visibility push(default)
-/**
- * @brief Slices incoming Dataframes into smaller `batch_size`'d chunks. This stage accepts the `MessageMeta` output
- * from `FileSourceStage`/`KafkaSourceStage` stages breaking them up into into `MultiMessage`'s. This should be one of
- * the first stages after the `Source` object.
- */
-class DeserializeStage : public mrc::pymrc::PythonNode<std::shared_ptr<MessageMeta>, std::shared_ptr<MultiMessage>>
+using cm_task_t = std::pair<std::string, nlohmann::json>;
+
+void make_output_message(std::shared_ptr<MessageMeta>& incoming_message,
+                         TensorIndex start,
+                         TensorIndex stop,
+                         cm_task_t* task,
+                         std::shared_ptr<MultiMessage>& windowed_message);
+
+void make_output_message(std::shared_ptr<MessageMeta>& incoming_message,
+                         TensorIndex start,
+                         TensorIndex stop,
+                         cm_task_t* task,
+                         std::shared_ptr<ControlMessage>& windowed_message);
+
+/****** DeserializationStage********************************/
+template <typename OutputT>
+class DeserializeStage : public mrc::pymrc::PythonNode<std::shared_ptr<MessageMeta>, std::shared_ptr<OutputT>>
 {
   public:
-    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<MessageMeta>, std::shared_ptr<MultiMessage>>;
+    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<MessageMeta>, std::shared_ptr<OutputT>>;
     using typename base_t::sink_type_t;
     using typename base_t::source_type_t;
     using typename base_t::subscribe_fn_t;
@@ -69,17 +79,22 @@ class DeserializeStage : public mrc::pymrc::PythonNode<std::shared_ptr<MessageMe
      *
      * @param batch_size Number of messages to be divided into each batch
      * @param ensure_sliceable_index Whether or not to call `ensure_sliceable_index()` on all incoming `MessageMeta`
+     * @param task Optional task to be added to all outgoing `ControlMessage`s, ignored when `OutputT` is `MultiMessage`
      */
-    DeserializeStage(TensorIndex batch_size, bool ensure_sliceable_index = true);
+    DeserializeStage(TensorIndex batch_size,
+                     bool ensure_sliceable_index     = true,
+                     std::unique_ptr<cm_task_t> task = nullptr) :
+      base_t(base_t::op_factory_from_sub_fn(build_operator())),
+      m_batch_size(batch_size),
+      m_ensure_sliceable_index(ensure_sliceable_index),
+      m_task(std::move(task)){};
 
   private:
-    /**
-     * TODO(Documentation)
-     */
     subscribe_fn_t build_operator();
 
     TensorIndex m_batch_size;
     bool m_ensure_sliceable_index{true};
+    std::unique_ptr<cm_task_t> m_task{nullptr};
 };
 
 /****** DeserializationStageInterfaceProxy******************/
@@ -89,18 +104,88 @@ class DeserializeStage : public mrc::pymrc::PythonNode<std::shared_ptr<MessageMe
 struct DeserializeStageInterfaceProxy
 {
     /**
-     * @brief Create and initialize a DeserializationStage, and return the result
+     * @brief Create and initialize a DeserializationStage that emits MultiMessage's, and return the result
      *
      * @param builder : Pipeline context object reference
      * @param name : Name of a stage reference
      * @param batch_size : Number of messages to be divided into each batch
-     * @return std::shared_ptr<mrc::segment::Object<DeserializeStage>>
+     * @param ensure_sliceable_index Whether or not to call `ensure_sliceable_index()` on all incoming `MessageMeta`
+     * @return std::shared_ptr<mrc::segment::Object<DeserializeStage<MultiMessage>>>
      */
-    static std::shared_ptr<mrc::segment::Object<DeserializeStage>> init(mrc::segment::Builder& builder,
-                                                                        const std::string& name,
-                                                                        TensorIndex batch_size,
-                                                                        bool ensure_sliceable_index);
+    static std::shared_ptr<mrc::segment::Object<DeserializeStage<MultiMessage>>> init_multi(
+        mrc::segment::Builder& builder, const std::string& name, TensorIndex batch_size, bool ensure_sliceable_index);
+
+    /**
+     * @brief Create and initialize a DeserializationStage that emits ControlMessage's, and return the result.
+     * If `task_type` is not None, `task_payload` must also be not None, and vice versa.
+     *
+     * @param builder : Pipeline context object reference
+     * @param name : Name of a stage reference
+     * @param batch_size : Number of messages to be divided into each batch
+     * @param ensure_sliceable_index Whether or not to call `ensure_sliceable_index()` on all incoming `MessageMeta`
+     * @param task_type : Optional task type to be added to all outgoing messages
+     * @param task_payload : Optional json object describing the task to be added to all outgoing messages
+     * @return std::shared_ptr<mrc::segment::Object<DeserializeStage<ControlMessage>>>
+     */
+    static std::shared_ptr<mrc::segment::Object<DeserializeStage<ControlMessage>>> init_cm(
+        mrc::segment::Builder& builder,
+        const std::string& name,
+        TensorIndex batch_size,
+        bool ensure_sliceable_index,
+        const pybind11::object& task_type,
+        const pybind11::object& task_payload);
 };
+
+template <typename OutputT>
+typename DeserializeStage<OutputT>::subscribe_fn_t DeserializeStage<OutputT>::build_operator()
+{
+    return [this](rxcpp::observable<sink_type_t> input, rxcpp::subscriber<source_type_t> output) {
+        return input.subscribe(rxcpp::make_observer<sink_type_t>(
+            [this, &output](sink_type_t incoming_message) {
+                if (!incoming_message->has_sliceable_index())
+                {
+                    if (m_ensure_sliceable_index)
+                    {
+                        auto old_index_name = incoming_message->ensure_sliceable_index();
+
+                        if (old_index_name.has_value())
+                        {
+                            // Generate a warning
+                            LOG(WARNING) << MORPHEUS_CONCAT_STR(
+                                "Incoming MessageMeta does not have a unique and monotonic index. Updating index "
+                                "to be unique. Existing index will be retained in column '"
+                                << *old_index_name << "'");
+                        }
+                    }
+                    else
+                    {
+                        utilities::show_warning_message(
+                            "Detected a non-sliceable index on an incoming MessageMeta. Performance when taking slices "
+                            "of messages may be degraded. Consider setting `ensure_sliceable_index==True`",
+                            PyExc_RuntimeWarning);
+                    }
+                }
+                // Loop over the MessageMeta and create sub-batches
+                for (TensorIndex i = 0; i < incoming_message->count(); i += this->m_batch_size)
+                {
+                    std::shared_ptr<OutputT> windowed_message{nullptr};
+                    make_output_message(incoming_message,
+                                        i,
+                                        std::min(i + this->m_batch_size, incoming_message->count()),
+                                        m_task.get(),
+                                        windowed_message);
+                    output.on_next(std::move(windowed_message));
+                }
+            },
+            [&](std::exception_ptr error_ptr) {
+                output.on_error(error_ptr);
+            },
+            [&]() {
+                output.on_completed();
+            }));
+    };
+}
+
 #pragma GCC visibility pop
 /** @} */  // end of group
 }  // namespace morpheus
diff --git a/morpheus/_lib/include/morpheus/stages/file_source.hpp b/morpheus/_lib/include/morpheus/stages/file_source.hpp
index 4e6fb2f541..6ed1ea4852 100644
--- a/morpheus/_lib/include/morpheus/stages/file_source.hpp
+++ b/morpheus/_lib/include/morpheus/stages/file_source.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,23 +20,17 @@
 #include "morpheus/messages/meta.hpp"
 
 #include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/source_properties.hpp>
 #include <mrc/segment/builder.hpp>
 #include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
 #include <pybind11/pytypes.h>
 #include <pymrc/node.hpp>
 #include <rxcpp/rx.hpp>  // for apply, make_subscriber, observable_member, is_on_error<>::not_void, is_on_next_of<>::not_void, trace_activity
 
-#include <map>
+#include <filesystem>  // for path
 #include <memory>
 #include <optional>
 #include <string>
 #include <thread>
-#include <vector>  // for vector
 
 namespace morpheus {
 /****** Component public implementations *******************/
@@ -98,6 +92,11 @@ struct FileSourceStageInterfaceProxy
                                                                        std::string filename,
                                                                        int repeat                   = 1,
                                                                        pybind11::dict parser_kwargs = pybind11::dict());
+    static std::shared_ptr<mrc::segment::Object<FileSourceStage>> init(mrc::segment::Builder& builder,
+                                                                       const std::string& name,
+                                                                       std::filesystem::path filename,
+                                                                       int repeat                   = 1,
+                                                                       pybind11::dict parser_kwargs = pybind11::dict());
 };
 #pragma GCC visibility pop
 /** @} */  // end of group
diff --git a/morpheus/_lib/include/morpheus/stages/filter_detection.hpp b/morpheus/_lib/include/morpheus/stages/filter_detection.hpp
index eb79319d7c..092a7c37de 100644
--- a/morpheus/_lib/include/morpheus/stages/filter_detection.hpp
+++ b/morpheus/_lib/include/morpheus/stages/filter_detection.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,14 +22,8 @@
 #include "morpheus/objects/filter_source.hpp"
 
 #include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/sink_properties.hpp>
-#include <mrc/node/source_properties.hpp>
 #include <mrc/segment/builder.hpp>
 #include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
 #include <pymrc/node.hpp>
 #include <rxcpp/rx.hpp>
 
@@ -38,7 +32,6 @@
 #include <memory>
 #include <string>
 #include <thread>
-#include <vector>
 
 namespace morpheus {
 /****** Component public implementations *******************/
diff --git a/morpheus/_lib/include/morpheus/stages/http_server_source_stage.hpp b/morpheus/_lib/include/morpheus/stages/http_server_source_stage.hpp
index 603ad16edb..c311b6aae6 100644
--- a/morpheus/_lib/include/morpheus/stages/http_server_source_stage.hpp
+++ b/morpheus/_lib/include/morpheus/stages/http_server_source_stage.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,25 +22,18 @@
 
 #include <boost/fiber/buffered_channel.hpp>  // for buffered_channel
 #include <boost/fiber/context.hpp>           // for context
-#include <boost/fiber/future/future.hpp>
-#include <cudf/io/types.hpp>               // for table_with_metadata
-#include <mrc/node/rx_sink_base.hpp>       // for RxSinkBase
-#include <mrc/node/rx_source_base.hpp>     // for RxSourceBase
-#include <mrc/node/source_properties.hpp>  // for channel::Status, SourceProperties<>::source_type_t
-#include <mrc/segment/builder.hpp>         // for segment::Builder
-#include <mrc/segment/object.hpp>          // for segment::Object
-#include <mrc/types.hpp>                   // for SegmentAddress
-#include <pymrc/node.hpp>                  // for PythonSource
-#include <rxcpp/rx.hpp>                    // for subscriber
+#include <cudf/io/types.hpp>                 // for table_with_metadata
+#include <mrc/segment/builder.hpp>           // for segment::Builder
+#include <mrc/segment/object.hpp>            // for segment::Object
+#include <pymrc/node.hpp>                    // for PythonSource
+#include <rxcpp/rx.hpp>                      // for subscriber
 
 #include <chrono>   // for duration
 #include <cstddef>  // for size_t
 #include <cstdint>  // for int64_t
-#include <map>
-#include <memory>  // for shared_ptr & unique_ptr
-#include <ratio>   // for std::milli
-#include <string>  // for string & to_string
-#include <vector>
+#include <memory>   // for shared_ptr & unique_ptr
+#include <ratio>    // for std::milli
+#include <string>   // for string & to_string
 // IWYU thinks we're using thread::operator<<
 // IWYU pragma: no_include <thread>
 
diff --git a/morpheus/_lib/include/morpheus/stages/inference_client_stage.hpp b/morpheus/_lib/include/morpheus/stages/inference_client_stage.hpp
new file mode 100644
index 0000000000..24d142184d
--- /dev/null
+++ b/morpheus/_lib/include/morpheus/stages/inference_client_stage.hpp
@@ -0,0 +1,168 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include "morpheus/export.h"
+#include "morpheus/messages/multi_inference.hpp"
+#include "morpheus/messages/multi_response.hpp"
+#include "morpheus/types.hpp"
+
+#include <mrc/coroutines/async_generator.hpp>
+#include <mrc/coroutines/scheduler.hpp>
+#include <mrc/coroutines/task.hpp>
+#include <mrc/segment/builder.hpp>
+#include <mrc/segment/object.hpp>
+#include <pybind11/pybind11.h>
+#include <pymrc/asyncio_runnable.hpp>
+
+#include <cstdint>
+#include <map>
+#include <memory>
+#include <mutex>
+#include <string>
+#include <vector>
+
+namespace morpheus {
+
+struct MORPHEUS_EXPORT TensorModelMapping
+{
+    /**
+     * @brief The field name to/from the model used for mapping
+     */
+    std::string model_field_name;
+
+    /**
+     * @brief The field name to/from the tensor used for mapping
+     */
+    std::string tensor_field_name;
+};
+
+class MORPHEUS_EXPORT IInferenceClientSession
+{
+  public:
+    virtual ~IInferenceClientSession() = default;
+    /**
+      @brief Gets the inference input mappings
+    */
+    virtual std::vector<TensorModelMapping> get_input_mappings(std::vector<TensorModelMapping> input_map_overrides) = 0;
+
+    /**
+      @brief Gets the inference output mappings
+    */
+    virtual std::vector<TensorModelMapping> get_output_mappings(
+        std::vector<TensorModelMapping> output_map_overrides) = 0;
+
+    /**
+      @brief Invokes a single tensor inference
+    */
+    virtual mrc::coroutines::Task<TensorMap> infer(TensorMap&& inputs) = 0;
+};
+
+class MORPHEUS_EXPORT IInferenceClient
+{
+  public:
+    virtual ~IInferenceClient() = default;
+    /**
+      @brief Creates an inference session.
+    */
+    virtual std::unique_ptr<IInferenceClientSession> create_session() = 0;
+};
+
+/**
+ * @addtogroup stages
+ * @{
+ * @file
+ */
+
+/**
+ * @brief Perform inference with Triton Inference Server.
+ * This class specifies which inference implementation category (Ex: NLP/FIL) is needed for inferencing.
+ */
+class MORPHEUS_EXPORT InferenceClientStage
+  : public mrc::pymrc::AsyncioRunnable<std::shared_ptr<MultiInferenceMessage>, std::shared_ptr<MultiResponseMessage>>
+{
+  public:
+    using sink_type_t   = std::shared_ptr<MultiInferenceMessage>;
+    using source_type_t = std::shared_ptr<MultiResponseMessage>;
+
+    /**
+     * @brief Construct a new Inference Client Stage object
+     *
+     * @param client : Inference client instance.
+     * @param model_name : Name of the model specifies which model can handle the inference requests that are sent to
+     * Triton inference
+     * @param needs_logits : Determines if logits are required.
+     * @param inout_mapping : Dictionary used to map pipeline input/output names to Triton input/output names. Use this
+     * if the Morpheus names do not match the model.
+     */
+    InferenceClientStage(std::unique_ptr<IInferenceClient>&& client,
+                         std::string model_name,
+                         bool needs_logits,
+                         std::vector<TensorModelMapping> input_mapping,
+                         std::vector<TensorModelMapping> output_mapping);
+
+    /**
+     * Process a single MultiInferenceMessage by running the constructor-provided inference client against it's Tensor,
+     * and yields the result as a MultiResponseMessage
+     */
+    mrc::coroutines::AsyncGenerator<std::shared_ptr<MultiResponseMessage>> on_data(
+        std::shared_ptr<MultiInferenceMessage>&& data, std::shared_ptr<mrc::coroutines::Scheduler> on) override;
+
+  private:
+    std::string m_model_name;
+    std::shared_ptr<IInferenceClient> m_client;
+    std::shared_ptr<IInferenceClientSession> m_session;
+    bool m_needs_logits{true};
+    std::vector<TensorModelMapping> m_input_mapping;
+    std::vector<TensorModelMapping> m_output_mapping;
+    std::mutex m_session_mutex;
+
+    int32_t m_retry_max = 10;
+};
+
+/****** InferenceClientStageInferenceProxy******************/
+/**
+ * @brief Interface proxy, used to insulate python bindings.
+ */
+struct MORPHEUS_EXPORT InferenceClientStageInterfaceProxy
+{
+    /**
+     * @brief Create and initialize a InferenceClientStage, and return the result
+     *
+     * @param builder : Pipeline context object reference
+     * @param name : Name of a stage reference
+     * @param model_name : Name of the model specifies which model can handle the inference requests that are sent to
+     * Triton inference
+     * @param server_url : Triton server URL.
+     * @param needs_logits : Determines if logits are required.
+     * @param inout_mapping : Dictionary used to map pipeline input/output names to Triton input/output names. Use this
+     * if the Morpheus names do not match the model.
+     * @return std::shared_ptr<mrc::segment::Object<InferenceClientStage>>
+     */
+    static std::shared_ptr<mrc::segment::Object<InferenceClientStage>> init(
+        mrc::segment::Builder& builder,
+        const std::string& name,
+        std::string model_name,
+        std::string server_url,
+        bool needs_logits,
+        std::map<std::string, std::string> input_mapping,
+        std::map<std::string, std::string> output_mapping);
+};
+/** @} */  // end of group
+
+}  // namespace morpheus
diff --git a/morpheus/_lib/include/morpheus/stages/kafka_source.hpp b/morpheus/_lib/include/morpheus/stages/kafka_source.hpp
index 3770797d84..909c9c7527 100644
--- a/morpheus/_lib/include/morpheus/stages/kafka_source.hpp
+++ b/morpheus/_lib/include/morpheus/stages/kafka_source.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,15 +21,10 @@
 #include "morpheus/types.hpp"
 
 #include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
 #include <cudf/io/types.hpp>
 #include <librdkafka/rdkafkacpp.h>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/source_properties.hpp>
 #include <mrc/segment/builder.hpp>
 #include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
 #include <pybind11/pytypes.h>
 #include <pymrc/node.hpp>
 #include <rxcpp/rx.hpp>  // for apply, make_subscriber, observable_member, is_on_error<>::not_void, is_on_next_of<>::not_void, trace_activity
diff --git a/morpheus/_lib/include/morpheus/stages/preallocate.hpp b/morpheus/_lib/include/morpheus/stages/preallocate.hpp
index 02885a06d7..30b6b186c6 100644
--- a/morpheus/_lib/include/morpheus/stages/preallocate.hpp
+++ b/morpheus/_lib/include/morpheus/stages/preallocate.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/stages/preprocess_fil.hpp b/morpheus/_lib/include/morpheus/stages/preprocess_fil.hpp
index 235e754dbd..982ebca09d 100644
--- a/morpheus/_lib/include/morpheus/stages/preprocess_fil.hpp
+++ b/morpheus/_lib/include/morpheus/stages/preprocess_fil.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,29 +17,24 @@
 
 #pragma once
 
+#include "morpheus/messages/control.hpp"
 #include "morpheus/messages/multi.hpp"
 #include "morpheus/messages/multi_inference.hpp"
 #include "morpheus/objects/table_info.hpp"
 
 #include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/sink_properties.hpp>
-#include <mrc/node/source_properties.hpp>
 #include <mrc/segment/builder.hpp>
 #include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
 #include <pymrc/node.hpp>
-#include <rxcpp/rx.hpp>  // for apply, make_subscriber, observable_member, is_on_error<>::not_void, is_on_next_of<>::not_void, from
-// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
+#include <rxcpp/rx.hpp>
 
-#include <map>
 #include <memory>
 #include <string>
 #include <thread>
 #include <vector>
 
+// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
+
 namespace morpheus {
 
 /****** Component public implementations *******************/
@@ -55,11 +50,11 @@ namespace morpheus {
 /**
  * @brief FIL input data for inference
  */
-class PreprocessFILStage
-  : public mrc::pymrc::PythonNode<std::shared_ptr<MultiMessage>, std::shared_ptr<MultiInferenceMessage>>
+template <typename InputT, typename OutputT>
+class PreprocessFILStage : public mrc::pymrc::PythonNode<std::shared_ptr<InputT>, std::shared_ptr<OutputT>>
 {
   public:
-    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<MultiMessage>, std::shared_ptr<MultiInferenceMessage>>;
+    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<InputT>, std::shared_ptr<OutputT>>;
     using typename base_t::sink_type_t;
     using typename base_t::source_type_t;
     using typename base_t::subscribe_fn_t;
@@ -71,35 +66,54 @@ class PreprocessFILStage
      */
     PreprocessFILStage(const std::vector<std::string>& features);
 
-  private:
     /**
-     * TODO(Documentation)
+     * Called every time a message is passed to this stage
      */
-    subscribe_fn_t build_operator();
+    source_type_t on_data(sink_type_t x);
 
+  private:
+    std::shared_ptr<MultiInferenceMessage> on_multi_message(std::shared_ptr<MultiMessage> x);
+    std::shared_ptr<ControlMessage> on_control_message(std::shared_ptr<ControlMessage> x);
+    void transform_bad_columns(std::vector<std::string>& fea_cols, morpheus::MutableTableInfo& mutable_info);
     TableInfo fix_bad_columns(sink_type_t x);
 
     std::vector<std::string> m_fea_cols;
     std::string m_vocab_file;
 };
 
+using PreprocessFILStageMM =  // NOLINT(readability-identifier-naming)
+    PreprocessFILStage<MultiMessage, MultiInferenceMessage>;
+using PreprocessFILStageCM =  // NOLINT(readability-identifier-naming)
+    PreprocessFILStage<ControlMessage, ControlMessage>;
+
 /****** PreprocessFILStageInferenceProxy********************/
 /**
  * @brief Interface proxy, used to insulate python bindings.
  */
 struct PreprocessFILStageInterfaceProxy
 {
+    /**
+     * @brief Create and initialize a PreprocessFILStage that receives MultiMessage and emits MultiInferenceMessage,
+     * and return the result
+     *
+     * @param builder : Pipeline context object reference
+     * @param name : Name of a stage reference
+     * @param features : Reference to the features that are required for model inference
+     * @return std::shared_ptr<mrc::segment::Object<PreprocessFILStage<MultiMessage, MultiInferenceMessage>>>
+     */
+    static std::shared_ptr<mrc::segment::Object<PreprocessFILStage<MultiMessage, MultiInferenceMessage>>> init_multi(
+        mrc::segment::Builder& builder, const std::string& name, const std::vector<std::string>& features);
+
     /**
      * @brief Create and initialize a PreprocessFILStage, and return the result
      *
      * @param builder : Pipeline context object reference
      * @param name : Name of a stage reference
      * @param features : Reference to the features that are required for model inference
-     * @return std::shared_ptr<mrc::segment::Object<PreprocessFILStage>>
+     * @return std::shared_ptr<mrc::segment::Object<PreprocessFILStage<ControlMessage, ControlMessage>>>
      */
-    static std::shared_ptr<mrc::segment::Object<PreprocessFILStage>> init(mrc::segment::Builder& builder,
-                                                                          const std::string& name,
-                                                                          const std::vector<std::string>& features);
+    static std::shared_ptr<mrc::segment::Object<PreprocessFILStage<ControlMessage, ControlMessage>>> init_cm(
+        mrc::segment::Builder& builder, const std::string& name, const std::vector<std::string>& features);
 };
 #pragma GCC visibility pop
 /** @} */  // end of group
diff --git a/morpheus/_lib/include/morpheus/stages/preprocess_nlp.hpp b/morpheus/_lib/include/morpheus/stages/preprocess_nlp.hpp
index 8922eefaac..c6c03f7311 100644
--- a/morpheus/_lib/include/morpheus/stages/preprocess_nlp.hpp
+++ b/morpheus/_lib/include/morpheus/stages/preprocess_nlp.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,28 +17,25 @@
 
 #pragma once
 
-#include "morpheus/messages/multi.hpp"
-#include "morpheus/messages/multi_inference.hpp"
+#include "morpheus/messages/control.hpp"          // for ControlMessage
+#include "morpheus/messages/multi.hpp"            // for MultiMessage
+#include "morpheus/messages/multi_inference.hpp"  // for MultiInferenceMessage
 
-#include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/sink_properties.hpp>
-#include <mrc/node/source_properties.hpp>
-#include <mrc/segment/builder.hpp>
-#include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
-#include <pymrc/node.hpp>
-#include <rxcpp/rx.hpp>  // for apply, make_subscriber, observable_member, is_on_error<>::not_void, is_on_next_of<>::not_void, from
-// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
+#include <boost/fiber/context.hpp>                   // for operator<<
+#include <cudf/strings/strings_column_view.hpp>      // for strings_column_view
+#include <mrc/segment/builder.hpp>                   // for Builder
+#include <mrc/segment/object.hpp>                    // for Object
+#include <nvtext/subword_tokenize.hpp>               // for tokenizer_result
+#include <pymrc/node.hpp>                            // for PythonNode
+#include <rmm/mr/device/device_memory_resource.hpp>  // for device_memory_resource
+#include <rxcpp/rx.hpp>                              // for observable_member, trace_activity, decay_t
 
 #include <cstdint>  // for uint32_t
-#include <map>
-#include <memory>
-#include <string>
-#include <thread>
-#include <vector>
+#include <memory>   // for shared_ptr, allocator
+#include <string>   // for string
+#include <thread>   // for operator<<
+
+// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
 
 namespace morpheus {
 /****** Component public implementations *******************/
@@ -54,11 +51,11 @@ namespace morpheus {
 /**
  * @brief NLP input data for inference
  */
-class PreprocessNLPStage
-  : public mrc::pymrc::PythonNode<std::shared_ptr<MultiMessage>, std::shared_ptr<MultiInferenceMessage>>
+template <typename InputT, typename OutputT>
+class PreprocessNLPStage : public mrc::pymrc::PythonNode<std::shared_ptr<InputT>, std::shared_ptr<OutputT>>
 {
   public:
-    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<MultiMessage>, std::shared_ptr<MultiInferenceMessage>>;
+    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<InputT>, std::shared_ptr<OutputT>>;
     using typename base_t::sink_type_t;
     using typename base_t::source_type_t;
     using typename base_t::subscribe_fn_t;
@@ -89,12 +86,21 @@ class PreprocessNLPStage
                        int stride         = -1,
                        std::string column = "data");
 
-  private:
     /**
-     * TODO(Documentation)
+     * Called every time a message is passed to this stage
      */
-    subscribe_fn_t build_operator();
+    source_type_t on_data(sink_type_t x);
 
+  private:
+    std::shared_ptr<MultiInferenceMessage> on_multi_message(std::shared_ptr<MultiMessage> x);
+    std::shared_ptr<ControlMessage> on_control_message(std::shared_ptr<ControlMessage> x);
+    nvtext::tokenizer_result subword_tokenize(const std::string& vocab_hash_file,
+                                              uint32_t sequence_length,
+                                              bool do_lower_case,
+                                              bool truncation,
+                                              cudf::strings_column_view const& string_col,
+                                              int stride,
+                                              rmm::mr::device_memory_resource* mr);
     std::string m_vocab_hash_file;
     std::string m_column;
     uint32_t m_sequence_length;
@@ -104,6 +110,11 @@ class PreprocessNLPStage
     int m_stride{-1};
 };
 
+using PreprocessNLPStageMM =  // NOLINT(readability-identifier-naming)
+    PreprocessNLPStage<MultiMessage, MultiInferenceMessage>;
+using PreprocessNLPStageCM =  // NOLINT(readability-identifier-naming)
+    PreprocessNLPStage<ControlMessage, ControlMessage>;
+
 /****** PreprocessNLPStageInferenceProxy********************/
 /**
  * @brief Interface proxy, used to insulate python bindings.
@@ -111,7 +122,40 @@ class PreprocessNLPStage
 struct PreprocessNLPStageInterfaceProxy
 {
     /**
-     * @brief Create and initialize a ProcessNLPStage, and return the result
+     * @brief Create and initialize a ProcessNLPStage that receives MultiMessage and emits MultiInferenceMessage, and
+     * return the result
+     *
+     * @param builder : Pipeline context object reference
+     * @param name : Name of a stage reference
+     * @param vocab_hash_file : Path to hash file containing vocabulary of words with token-ids. This can be created
+     * from the raw vocabulary using the `cudf.utils.hash_vocab_utils.hash_vocab` function.
+     * @param sequence_length : Sequence Length to use (We add to special tokens for NER classification job).
+     * @param truncation : If set to true, strings will be truncated and padded to max_length. Each input string will
+     * result in exactly one output sequence. If set to false, there may be multiple output sequences when the
+     * max_length is smaller than generated tokens.
+     * @param do_lower_case : If set to true, original text will be lowercased before encoding.
+     * @param add_special_token : Whether or not to encode the sequences with the special tokens of the BERT
+     * classification model.
+     * @param stride : If `truncation` == False and the tokenized string is larger than max_length, the sequences
+     * containing the overflowing token-ids can contain duplicated token-ids from the main sequence. If max_length is
+     * equal to stride there are no duplicated-id tokens. If stride is 80% of max_length, 20% of the first sequence will
+     * be repeated on the second sequence and so on until the entire sentence is encoded.
+     * @param column : Name of the string column to operate on, defaults to "data".
+     * @return std::shared_ptr<mrc::segment::Object<PreprocessNLPStage<MultiMessage, MultiInferenceMessage>>>
+     */
+    static std::shared_ptr<mrc::segment::Object<PreprocessNLPStage<MultiMessage, MultiInferenceMessage>>> init_multi(
+        mrc::segment::Builder& builder,
+        const std::string& name,
+        std::string vocab_hash_file,
+        uint32_t sequence_length,
+        bool truncation,
+        bool do_lower_case,
+        bool add_special_token,
+        int stride         = -1,
+        std::string column = "data");
+    /**
+     * @brief Create and initialize a ProcessNLPStage that receives ControlMessage and emits ControlMessage, and return
+     * the result
      *
      * @param builder : Pipeline context object reference
      * @param name : Name of a stage reference
@@ -129,18 +173,20 @@ struct PreprocessNLPStageInterfaceProxy
      * equal to stride there are no duplicated-id tokens. If stride is 80% of max_length, 20% of the first sequence will
      * be repeated on the second sequence and so on until the entire sentence is encoded.
      * @param column : Name of the string column to operate on, defaults to "data".
-     * @return std::shared_ptr<mrc::segment::Object<PreprocessNLPStage>>
+     * @return std::shared_ptr<mrc::segment::Object<PreprocessNLPStage<ControlMessage, ControlMessage>>>
      */
-    static std::shared_ptr<mrc::segment::Object<PreprocessNLPStage>> init(mrc::segment::Builder& builder,
-                                                                          const std::string& name,
-                                                                          std::string vocab_hash_file,
-                                                                          uint32_t sequence_length,
-                                                                          bool truncation,
-                                                                          bool do_lower_case,
-                                                                          bool add_special_token,
-                                                                          int stride         = -1,
-                                                                          std::string column = "data");
+    static std::shared_ptr<mrc::segment::Object<PreprocessNLPStage<ControlMessage, ControlMessage>>> init_cm(
+        mrc::segment::Builder& builder,
+        const std::string& name,
+        std::string vocab_hash_file,
+        uint32_t sequence_length,
+        bool truncation,
+        bool do_lower_case,
+        bool add_special_token,
+        int stride         = -1,
+        std::string column = "data");
 };
+
 #pragma GCC visibility pop
 /** @} */  // end of group
 }  // namespace morpheus
diff --git a/morpheus/_lib/include/morpheus/stages/serialize.hpp b/morpheus/_lib/include/morpheus/stages/serialize.hpp
index 51608290bc..36921feeb6 100644
--- a/morpheus/_lib/include/morpheus/stages/serialize.hpp
+++ b/morpheus/_lib/include/morpheus/stages/serialize.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,29 +17,24 @@
 
 #pragma once
 
+#include "morpheus/messages/control.hpp"
 #include "morpheus/messages/meta.hpp"  // for MessageMeta
 #include "morpheus/messages/multi.hpp"
 
 #include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/sink_properties.hpp>
-#include <mrc/node/source_properties.hpp>
 #include <mrc/segment/builder.hpp>
 #include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
 #include <pymrc/node.hpp>
 #include <rxcpp/rx.hpp>  // for apply, make_subscriber, observable_member, is_on_error<>::not_void, is_on_next_of<>::not_void, from
-// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
 
-#include <map>
 #include <memory>
 #include <regex>
 #include <string>
 #include <thread>
 #include <vector>  // for vector
 
+// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
+
 namespace morpheus {
 /****** Component public implementations *******************/
 /****** SerializeStage********************************/
@@ -55,10 +50,11 @@ namespace morpheus {
  * @brief Include & exclude columns from messages. This class filters columns from a `MultiMessage` object emitting a
  * `MessageMeta`.
  */
-class SerializeStage : public mrc::pymrc::PythonNode<std::shared_ptr<MultiMessage>, std::shared_ptr<MessageMeta>>
+template <typename InputT>
+class SerializeStage : public mrc::pymrc::PythonNode<std::shared_ptr<InputT>, std::shared_ptr<MessageMeta>>
 {
   public:
-    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<MultiMessage>, std::shared_ptr<MessageMeta>>;
+    using base_t = mrc::pymrc::PythonNode<std::shared_ptr<InputT>, std::shared_ptr<MessageMeta>>;
     using typename base_t::sink_type_t;
     using typename base_t::source_type_t;
     using typename base_t::subscribe_fn_t;
@@ -94,6 +90,9 @@ class SerializeStage : public mrc::pymrc::PythonNode<std::shared_ptr<MultiMessag
     std::vector<std::string> m_column_names;
 };
 
+using SerializeStageMM = SerializeStage<MultiMessage>;    // NOLINT(readability-identifier-naming)
+using SerializeStageCM = SerializeStage<ControlMessage>;  // NOLINT(readability-identifier-naming)
+
 /****** WriteToFileStageInterfaceProxy******************/
 /**
  * @brief Interface proxy, used to insulate python bindings.
@@ -111,11 +110,28 @@ struct SerializeStageInterfaceProxy
      * the same columns as the first message received.
      * @return std::shared_ptr<mrc::segment::Object<SerializeStage>>
      */
-    static std::shared_ptr<mrc::segment::Object<SerializeStage>> init(mrc::segment::Builder& builder,
-                                                                      const std::string& name,
-                                                                      const std::vector<std::string>& include,
-                                                                      const std::vector<std::string>& exclude,
-                                                                      bool fixed_columns = true);
+    static std::shared_ptr<mrc::segment::Object<SerializeStageMM>> init_mm(mrc::segment::Builder& builder,
+                                                                           const std::string& name,
+                                                                           const std::vector<std::string>& include,
+                                                                           const std::vector<std::string>& exclude,
+                                                                           bool fixed_columns = true);
+
+    /**
+     * @brief Create and initialize a SerializeStage, and return the result
+     *
+     * @param builder : Pipeline context object reference
+     * @param name : Name of a stage reference
+     * @param include : Reference to the attributes that are required send to downstream stage.
+     * @param exclude : Reference to the attributes that are not required send to downstream stage.
+     * @param fixed_columns : When `True` `SerializeStage` will assume that the Dataframe in all messages contain
+     * the same columns as the first message received.
+     * @return std::shared_ptr<mrc::segment::Object<SerializeStage>>
+     */
+    static std::shared_ptr<mrc::segment::Object<SerializeStageCM>> init_cm(mrc::segment::Builder& builder,
+                                                                           const std::string& name,
+                                                                           const std::vector<std::string>& include,
+                                                                           const std::vector<std::string>& exclude,
+                                                                           bool fixed_columns = true);
 };
 
 #pragma GCC visibility pop
diff --git a/morpheus/_lib/include/morpheus/stages/triton_inference.hpp b/morpheus/_lib/include/morpheus/stages/triton_inference.hpp
index f337cf560a..923a75e2b7 100644
--- a/morpheus/_lib/include/morpheus/stages/triton_inference.hpp
+++ b/morpheus/_lib/include/morpheus/stages/triton_inference.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,141 +17,175 @@
 
 #pragma once
 
-#include "morpheus/messages/multi_inference.hpp"
-#include "morpheus/messages/multi_response.hpp"  // for MultiResponseMessage
+#include "morpheus/export.h"
 #include "morpheus/objects/triton_in_out.hpp"
+#include "morpheus/stages/inference_client_stage.hpp"
 #include "morpheus/types.hpp"
 
-#include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
 #include <http_client.h>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/sink_properties.hpp>
-#include <mrc/node/source_properties.hpp>
-#include <mrc/segment/builder.hpp>
-#include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
-#include <pymrc/node.hpp>
-#include <rxcpp/rx.hpp>  // for apply, make_subscriber, observable_member, is_on_error<>::not_void, is_on_next_of<>::not_void, from
+#include <mrc/coroutines/task.hpp>
+
+#include <cstdint>
 // IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
 
-#include <map>
 #include <memory>
 #include <string>
-#include <thread>
 #include <vector>
 
 namespace morpheus {
 /****** Component public implementations *******************/
 /****** InferenceClientStage********************************/
 
-/**
- * @addtogroup stages
- * @{
- * @file
- */
+struct MORPHEUS_EXPORT TritonInferInput
+{
+    /**
+     * @brief The name of the triton inference input
+     */
+    std::string name;
 
-#pragma GCC visibility push(default)
-/**
- * @brief Perform inference with Triton Inference Server.
- * This class specifies which inference implementation category (Ex: NLP/FIL) is needed for inferencing.
- */
-class InferenceClientStage
-  : public mrc::pymrc::PythonNode<std::shared_ptr<MultiInferenceMessage>, std::shared_ptr<MultiResponseMessage>>
+    /**
+     * @brief The shape of the triton inference input
+     */
+    std::vector<int64_t> shape;
+
+    /**
+     * @brief The type of the triton inference input
+     */
+    std::string type;
+
+    /**
+     * @brief The triton inference input data
+     */
+    std::vector<uint8_t> data;
+};
+
+struct MORPHEUS_EXPORT TritonInferRequestedOutput
+{
+    std::string name;
+};
+
+class MORPHEUS_EXPORT ITritonClient
 {
   public:
-    using base_t =
-        mrc::pymrc::PythonNode<std::shared_ptr<MultiInferenceMessage>, std::shared_ptr<MultiResponseMessage>>;
-    using typename base_t::sink_type_t;
-    using typename base_t::source_type_t;
-    using typename base_t::subscribe_fn_t;
-
-    /**
-     * @brief Construct a new Inference Client Stage object
-     *
-     * @param model_name : Name of the model specifies which model can handle the inference requests that are sent to
-     * Triton inference
-     * @param server_url : Triton server URL.
-     * @param force_convert_inputs : Instructs the stage to convert the incoming data to the same format that Triton is
-     * expecting. If set to False, data will only be converted if it would not result in the loss of data.
-     * @param use_shared_memory : Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using
-     * CUDA IPC reduces network transfer time but requires that Morpheus and Triton are located on the same machine.
-     * @param needs_logits : Determines if logits are required.
-     * @param inout_mapping : Dictionary used to map pipeline input/output names to Triton input/output names. Use this
-     * if the Morpheus names do not match the model.
-     */
-    InferenceClientStage(std::string model_name,
-                         std::string server_url,
-                         bool force_convert_inputs,
-                         bool use_shared_memory,
-                         bool needs_logits,
-                         std::map<std::string, std::string> inout_mapping = {});
+    virtual ~ITritonClient() = default;
 
+    /**
+     * @brief Checks if Triton Server is live
+     */
+    virtual triton::client::Error is_server_live(bool* live) = 0;
+
+    /**
+     * @brief Checks if Triton Server is ready
+     */
+    virtual triton::client::Error is_server_ready(bool* ready) = 0;
+
+    /**
+     * @brief Checks if the given model is ready
+     */
+    virtual triton::client::Error is_model_ready(bool* ready, std::string& model_name) = 0;
+
+    /**
+     * @brief Gets metadata for the given model
+     */
+    virtual triton::client::Error model_metadata(std::string* model_metadata, std::string& model_name) = 0;
+
+    /**
+     * @brief Gets the config for the given model
+     */
+    virtual triton::client::Error model_config(std::string* model_config, std::string& model_name) = 0;
+
+    /**
+     * @brief Runs Triton Server inference given the model options, inputs, and outputs
+     */
+    virtual triton::client::Error async_infer(triton::client::InferenceServerHttpClient::OnCompleteFn callback,
+                                              const triton::client::InferOptions& options,
+                                              const std::vector<TritonInferInput>& inputs,
+                                              const std::vector<TritonInferRequestedOutput>& outputs) = 0;
+};
+
+class MORPHEUS_EXPORT HttpTritonClient : public ITritonClient
+{
   private:
+    std::unique_ptr<triton::client::InferenceServerHttpClient> m_client;
+
+  public:
+    HttpTritonClient(std::string server_url);
+
     /**
-     * TODO(Documentation)
+     * @brief Checks if Triton Server is live using HTTP protocal
      */
-    bool is_default_grpc_port(std::string& server_url);
+    triton::client::Error is_server_live(bool* live) override;
 
     /**
-     * TODO(Documentation)
+     * @brief Checks if Triton Server is ready using HTTP protocal
      */
-    void connect_with_server();
+    triton::client::Error is_server_ready(bool* ready) override;
 
     /**
-     * TODO(Documentation)
+     * @brief Checks if the given model is ready using HTTP protocal
      */
-    subscribe_fn_t build_operator();
+    triton::client::Error is_model_ready(bool* ready, std::string& model_name) override;
+
+    /**
+     * @brief Gets the config for the given model using HTTP protocal
+     */
+    triton::client::Error model_config(std::string* model_config, std::string& model_name) override;
+
+    /**
+     * @brief Gets metadata for the given model using HTTP protocal
+     */
+    triton::client::Error model_metadata(std::string* model_metadata, std::string& model_name) override;
+
+    /**
+     * @brief Runs Triton Server inference given the model options, inputs, and outputs, using HTTP protocal
+     */
+    triton::client::Error async_infer(triton::client::InferenceServerHttpClient::OnCompleteFn callback,
+                                      const triton::client::InferOptions& options,
+                                      const std::vector<TritonInferInput>& inputs,
+                                      const std::vector<TritonInferRequestedOutput>& outputs) override;
+};
 
+class MORPHEUS_EXPORT TritonInferenceClientSession : public IInferenceClientSession
+{
+  private:
     std::string m_model_name;
-    std::string m_server_url;
-    bool m_force_convert_inputs;
-    bool m_use_shared_memory;
-    bool m_needs_logits{true};
-    std::map<std::string, std::string> m_inout_mapping;
-
-    // Below are settings created during handshake with server
-    // std::shared_ptr<triton::client::InferenceServerHttpClient> m_client;
+    TensorIndex m_max_batch_size = -1;
     std::vector<TritonInOut> m_model_inputs;
     std::vector<TritonInOut> m_model_outputs;
-    triton::client::InferOptions m_options;
-    TensorIndex m_max_batch_size{-1};
+    std::shared_ptr<ITritonClient> m_client;
+
+  public:
+    TritonInferenceClientSession(std::shared_ptr<ITritonClient> client, std::string model_name);
+
+    /**
+      @brief Gets the inference input mappings for Triton
+    */
+    std::vector<TensorModelMapping> get_input_mappings(std::vector<TensorModelMapping> input_map_overrides) override;
+
+    /**
+      @brief Gets the inference output mappings for Triton
+    */
+    std::vector<TensorModelMapping> get_output_mappings(std::vector<TensorModelMapping> output_map_overrides) override;
+
+    /**
+      @brief Invokes a single tensor inference using the constructor-provided ITritonClient
+    */
+    mrc::coroutines::Task<TensorMap> infer(TensorMap&& inputs) override;
 };
 
-/****** InferenceClientStageInferenceProxy******************/
-/**
- * @brief Interface proxy, used to insulate python bindings.
- */
-struct InferenceClientStageInterfaceProxy
+class MORPHEUS_EXPORT TritonInferenceClient : public IInferenceClient
 {
+  private:
+    std::shared_ptr<ITritonClient> m_client;
+    std::string m_model_name;
+
+  public:
+    TritonInferenceClient(std::unique_ptr<ITritonClient>&& client, std::string model_name);
+
     /**
-     * @brief Create and initialize a InferenceClientStage, and return the result
-     *
-     * @param builder : Pipeline context object reference
-     * @param name : Name of a stage reference
-     * @param model_name : Name of the model specifies which model can handle the inference requests that are sent to
-     * Triton inference
-     * @param server_url : Triton server URL.
-     * @param force_convert_inputs : Instructs the stage to convert the incoming data to the same format that Triton is
-     * expecting. If set to False, data will only be converted if it would not result in the loss of data.
-     * @param use_shared_memory : Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using
-     * CUDA IPC reduces network transfer time but requires that Morpheus and Triton are located on the same machine.
-     * @param needs_logits : Determines if logits are required.
-     * @param inout_mapping : Dictionary used to map pipeline input/output names to Triton input/output names. Use this
-     * if the Morpheus names do not match the model.
-     * @return std::shared_ptr<mrc::segment::Object<InferenceClientStage>>
-     */
-    static std::shared_ptr<mrc::segment::Object<InferenceClientStage>> init(
-        mrc::segment::Builder& builder,
-        const std::string& name,
-        std::string model_name,
-        std::string server_url,
-        bool force_convert_inputs,
-        bool use_shared_memory,
-        bool needs_logits,
-        std::map<std::string, std::string> inout_mapping);
+      @brief Creates a TritonInferenceClientSession
+    */
+    std::unique_ptr<IInferenceClientSession> create_session() override;
 };
-#pragma GCC visibility pop
-/** @} */  // end of group
+
 }  // namespace morpheus
diff --git a/morpheus/_lib/include/morpheus/stages/write_to_file.hpp b/morpheus/_lib/include/morpheus/stages/write_to_file.hpp
index 56e6310f1b..8efb212488 100644
--- a/morpheus/_lib/include/morpheus/stages/write_to_file.hpp
+++ b/morpheus/_lib/include/morpheus/stages/write_to_file.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,24 +21,16 @@
 #include "morpheus/objects/file_types.hpp"
 
 #include <boost/fiber/context.hpp>
-#include <boost/fiber/future/future.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/node/sink_properties.hpp>
-#include <mrc/node/source_properties.hpp>
 #include <mrc/segment/builder.hpp>
 #include <mrc/segment/object.hpp>
-#include <mrc/types.hpp>
 #include <pymrc/node.hpp>
 #include <rxcpp/rx.hpp>
 
 #include <fstream>
 #include <functional>  // for function
-#include <map>
 #include <memory>
 #include <string>
 #include <thread>
-#include <vector>
 
 namespace morpheus {
 /****** Component public implementations *******************/
diff --git a/morpheus/_lib/include/morpheus/types.hpp b/morpheus/_lib/include/morpheus/types.hpp
index b75af6b71f..fa64a4d221 100644
--- a/morpheus/_lib/include/morpheus/types.hpp
+++ b/morpheus/_lib/include/morpheus/types.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/cudf_util.hpp b/morpheus/_lib/include/morpheus/utilities/cudf_util.hpp
index 39d361cbb0..5eb6636919 100644
--- a/morpheus/_lib/include/morpheus/utilities/cudf_util.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/cudf_util.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/cupy_util.hpp b/morpheus/_lib/include/morpheus/utilities/cupy_util.hpp
index e7c2394d71..e197d9e9e4 100644
--- a/morpheus/_lib/include/morpheus/utilities/cupy_util.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/cupy_util.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -43,8 +43,6 @@ struct CupyUtil
     using tensor_map_t    = std::map<std::string, TensorObject>;
     using py_tensor_map_t = std::map<std::string, pybind11::object>;
 
-    static pybind11::object cp_module;  // handle to cupy module
-
     /**
      * @brief Import and return the cupy module. Requires GIL to have already been aqcuired.
      *
diff --git a/morpheus/_lib/include/morpheus/utilities/error.hpp b/morpheus/_lib/include/morpheus/utilities/error.hpp
index 1471dde7eb..f831183641 100644
--- a/morpheus/_lib/include/morpheus/utilities/error.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/error.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/http_server.hpp b/morpheus/_lib/include/morpheus/utilities/http_server.hpp
index 388fc50c35..89117cbab9 100644
--- a/morpheus/_lib/include/morpheus/utilities/http_server.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/http_server.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,12 +17,12 @@
 
 #pragma once
 
-#include <boost/asio/io_context.hpp>    // for io_context
-#include <boost/asio/ip/tcp.hpp>        // for tcp, tcp::acceptor, tcp::endpoint, tcp::socket
-#include <boost/beast/core/error.hpp>   // for error_code
-#include <boost/beast/http/verb.hpp>    // for verb
-#include <boost/system/error_code.hpp>  // for error_code
-#include <pybind11/pytypes.h>           // for pybind11::function
+#include <boost/asio/io_context.hpp>   // for io_context
+#include <boost/asio/ip/tcp.hpp>       // for tcp, tcp::acceptor, tcp::endpoint, tcp::socket
+#include <boost/beast/core/error.hpp>  // for error_code
+#include <boost/beast/http/verb.hpp>   // for verb
+#include <boost/system/detail/error_code.hpp>
+#include <pybind11/pytypes.h>  // for pybind11::function
 
 #include <atomic>      // for atomic
 #include <chrono>      // for seconds
@@ -46,6 +46,7 @@ namespace morpheus {
 #pragma GCC visibility push(default)
 
 class Listener;
+
 using on_complete_cb_fn_t = std::function<void(const boost::system::error_code& /* error message */)>;
 
 /**
diff --git a/morpheus/_lib/include/morpheus/utilities/json_types.hpp b/morpheus/_lib/include/morpheus/utilities/json_types.hpp
index 39217976bb..bf7769ba97 100644
--- a/morpheus/_lib/include/morpheus/utilities/json_types.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/json_types.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/matx_util.hpp b/morpheus/_lib/include/morpheus/utilities/matx_util.hpp
index 04691b3b46..0622c5b507 100644
--- a/morpheus/_lib/include/morpheus/utilities/matx_util.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/matx_util.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/python_util.hpp b/morpheus/_lib/include/morpheus/utilities/python_util.hpp
index cb725ae5d9..6fc258d912 100644
--- a/morpheus/_lib/include/morpheus/utilities/python_util.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/python_util.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -27,6 +27,7 @@ using PyObject = _object;  // NOLINT(readability-identifier-naming)
 
 namespace morpheus::utilities {
 
+#pragma GCC visibility push(default)
 /**
  * @brief Shows a python warning using the `warnings.warn` module. These warnings can be suppressed and work different
  * than `logger.warn()`
@@ -38,5 +39,6 @@ namespace morpheus::utilities {
 void show_warning_message(const std::string& deprecation_message,
                           PyObject* category  = nullptr,
                           ssize_t stack_level = 1);
+#pragma GCC visibility pop
 
 }  // namespace morpheus::utilities
diff --git a/morpheus/_lib/include/morpheus/utilities/stage_util.hpp b/morpheus/_lib/include/morpheus/utilities/stage_util.hpp
index 3e09ba5cab..ce8ad6a7f3 100644
--- a/morpheus/_lib/include/morpheus/utilities/stage_util.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/stage_util.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/string_util.hpp b/morpheus/_lib/include/morpheus/utilities/string_util.hpp
index 34b7756221..c8a39ef3d2 100644
--- a/morpheus/_lib/include/morpheus/utilities/string_util.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/string_util.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/table_util.hpp b/morpheus/_lib/include/morpheus/utilities/table_util.hpp
index b8ea0c0070..b8797901ea 100644
--- a/morpheus/_lib/include/morpheus/utilities/table_util.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/table_util.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/tensor_util.hpp b/morpheus/_lib/include/morpheus/utilities/tensor_util.hpp
index e747749247..c6393e17e7 100644
--- a/morpheus/_lib/include/morpheus/utilities/tensor_util.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/tensor_util.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/include/morpheus/utilities/type_traits.hpp b/morpheus/_lib/include/morpheus/utilities/type_traits.hpp
index cb488d059d..a871729a9d 100644
--- a/morpheus/_lib/include/morpheus/utilities/type_traits.hpp
+++ b/morpheus/_lib/include/morpheus/utilities/type_traits.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/llm/CMakeLists.txt b/morpheus/_lib/llm/CMakeLists.txt
index 3a2f1f4fe2..ab2d3672bc 100644
--- a/morpheus/_lib/llm/CMakeLists.txt
+++ b/morpheus/_lib/llm/CMakeLists.txt
@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
diff --git a/morpheus/_lib/llm/__init__.pyi b/morpheus/_lib/llm/__init__.pyi
index e961645ea1..4b6e287d20 100644
--- a/morpheus/_lib/llm/__init__.pyi
+++ b/morpheus/_lib/llm/__init__.pyi
@@ -210,7 +210,7 @@ class LLMTaskHandler():
     def __init__(self) -> None: ...
     def get_input_names(self) -> typing.List[str]: 
         """
-        Get the input names for the task handler. 
+        Get the input names for the task handler.
 
         Returns
         -------
@@ -231,4 +231,4 @@ class LLMTaskHandler():
         Task[Optional[list[ControlMessage]]]
         """
     pass
-__version__ = '23.11.0'
+__version__ = '24.3.0'
diff --git a/morpheus/_lib/llm/include/py_llm_engine.hpp b/morpheus/_lib/llm/include/py_llm_engine.hpp
index 63bb91f546..dcf3f18a67 100644
--- a/morpheus/_lib/llm/include/py_llm_engine.hpp
+++ b/morpheus/_lib/llm/include/py_llm_engine.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,9 +19,9 @@
 
 #include "py_llm_node.hpp"
 
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/input_map.hpp"
 #include "morpheus/llm/llm_engine.hpp"
-#include "morpheus/llm/llm_task_handler.hpp"
 
 #include <pybind11/pytypes.h>
 
diff --git a/morpheus/_lib/llm/include/py_llm_engine_stage.hpp b/morpheus/_lib/llm/include/py_llm_engine_stage.hpp
index e76c89a5fa..447b868a35 100644
--- a/morpheus/_lib/llm/include/py_llm_engine_stage.hpp
+++ b/morpheus/_lib/llm/include/py_llm_engine_stage.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -94,7 +94,7 @@ class MORPHEUS_EXPORT PyLLMEngineStage
 
   private:
     mrc::coroutines::AsyncGenerator<std::shared_ptr<ControlMessage>> on_data(
-        std::shared_ptr<ControlMessage>&& data) override
+        std::shared_ptr<ControlMessage>&& data, std::shared_ptr<mrc::coroutines::Scheduler> on) override
     {
         auto result = co_await m_engine->run(std::move(data));
 
diff --git a/morpheus/_lib/llm/include/py_llm_lambda_node.hpp b/morpheus/_lib/llm/include/py_llm_lambda_node.hpp
index 6e3424d92b..267be84785 100644
--- a/morpheus/_lib/llm/include/py_llm_lambda_node.hpp
+++ b/morpheus/_lib/llm/include/py_llm_lambda_node.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,7 +17,7 @@
 
 #pragma once
 
-#include "morpheus/llm/llm_context.hpp"
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/llm_node_base.hpp"
 #include "morpheus/types.hpp"
 
diff --git a/morpheus/_lib/llm/include/py_llm_node.hpp b/morpheus/_lib/llm/include/py_llm_node.hpp
index a78c8d5476..bf02e03e2d 100644
--- a/morpheus/_lib/llm/include/py_llm_node.hpp
+++ b/morpheus/_lib/llm/include/py_llm_node.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/llm/include/py_llm_node_base.hpp b/morpheus/_lib/llm/include/py_llm_node_base.hpp
index 403ee24c76..527899726b 100644
--- a/morpheus/_lib/llm/include/py_llm_node_base.hpp
+++ b/morpheus/_lib/llm/include/py_llm_node_base.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/llm/include/py_llm_task_handler.hpp b/morpheus/_lib/llm/include/py_llm_task_handler.hpp
index 379a1a4ed4..6a8f37fb7d 100644
--- a/morpheus/_lib/llm/include/py_llm_task_handler.hpp
+++ b/morpheus/_lib/llm/include/py_llm_task_handler.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/llm/module.cpp b/morpheus/_lib/llm/module.cpp
index 23d4950d2e..93065156f8 100644
--- a/morpheus/_lib/llm/module.cpp
+++ b/morpheus/_lib/llm/module.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,6 +22,7 @@
 #include "py_llm_engine_stage.hpp"
 #include "py_llm_lambda_node.hpp"
 
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/input_map.hpp"
 #include "morpheus/llm/llm_context.hpp"
 #include "morpheus/llm/llm_engine.hpp"
@@ -34,14 +35,13 @@
 #include "morpheus/pybind11/input_map.hpp"  // IWYU pragma: keep
 #include "morpheus/pybind11/json.hpp"       // IWYU pragma: keep
 #include "morpheus/utilities/cudf_util.hpp"
-#include "morpheus/utilities/json_types.hpp"
 #include "morpheus/version.hpp"
 
+#include <mrc/segment/object.hpp>
 #include <mrc/utils/string_utils.hpp>
 #include <nlohmann/detail/exceptions.hpp>
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
-#include <pybind11/detail/common.h>
+#include <pybind11/attr.h>
 #include <pybind11/functional.h>  // IWYU pragma: keep
 #include <pybind11/pybind11.h>    // for arg, init, class_, module_, str_attr_accessor, PYBIND11_MODULE, pybind11
 #include <pybind11/pytypes.h>     // for dict, sequence
@@ -54,7 +54,6 @@
 #include <stdexcept>
 #include <string>
 #include <utility>
-#include <variant>
 #include <vector>
 
 namespace morpheus::llm {
@@ -301,8 +300,8 @@ PYBIND11_MODULE(llm, _module)
         .def("get_input_names",
              &LLMTaskHandler::get_input_names,
              R"pbdoc(
-                Get the input names for the task handler. 
-                
+                Get the input names for the task handler.
+
                 Returns
                 -------
                 list[str]
diff --git a/morpheus/_lib/llm/src/py_llm_engine.cpp b/morpheus/_lib/llm/src/py_llm_engine.cpp
index 0a26f1051b..5e6267456d 100644
--- a/morpheus/_lib/llm/src/py_llm_engine.cpp
+++ b/morpheus/_lib/llm/src/py_llm_engine.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,6 +19,8 @@
 
 #include "py_llm_task_handler.hpp"
 
+#include "morpheus/llm/llm_task_handler.hpp"
+
 #include <pybind11/pybind11.h>
 
 #include <utility>
diff --git a/morpheus/_lib/llm/src/py_llm_lambda_node.cpp b/morpheus/_lib/llm/src/py_llm_lambda_node.cpp
index fb127c72a2..eae9a7bdc7 100644
--- a/morpheus/_lib/llm/src/py_llm_lambda_node.cpp
+++ b/morpheus/_lib/llm/src/py_llm_lambda_node.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,11 +21,10 @@
 
 #include "morpheus/llm/llm_context.hpp"
 #include "morpheus/llm/llm_node_base.hpp"
-#include "morpheus/utilities/json_types.hpp"
 #include "morpheus/utilities/string_util.hpp"
 
+#include <glog/logging.h>
 #include <mrc/coroutines/task.hpp>  // IWYU pragma: keep
-#include <pybind11/cast.h>
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>
 #include <pybind11/stl.h>
diff --git a/morpheus/_lib/llm/src/py_llm_node.cpp b/morpheus/_lib/llm/src/py_llm_node.cpp
index d22659fb61..8daa839ac5 100644
--- a/morpheus/_lib/llm/src/py_llm_node.cpp
+++ b/morpheus/_lib/llm/src/py_llm_node.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,7 +19,6 @@
 
 #include "morpheus/llm/input_map.hpp"
 #include "morpheus/llm/llm_engine.hpp"
-#include "morpheus/llm/llm_node_base.hpp"
 
 #include <mrc/coroutines/task.hpp>  // IWYU pragma: keep
 #include <pybind11/pybind11.h>
diff --git a/morpheus/_lib/llm/src/py_llm_node_base.cpp b/morpheus/_lib/llm/src/py_llm_node_base.cpp
index d3b5f79d6c..8d42dd5388 100644
--- a/morpheus/_lib/llm/src/py_llm_node_base.cpp
+++ b/morpheus/_lib/llm/src/py_llm_node_base.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,7 +17,7 @@
 
 #include "py_llm_node_base.hpp"
 
-#include "morpheus/llm/llm_context.hpp"
+#include "morpheus/llm/llm_context.hpp"  // IWYU pragma: keep
 #include "morpheus/llm/llm_engine.hpp"
 #include "morpheus/llm/llm_node.hpp"
 #include "morpheus/llm/llm_node_base.hpp"
diff --git a/morpheus/_lib/llm/src/py_llm_task_handler.cpp b/morpheus/_lib/llm/src/py_llm_task_handler.cpp
index b70f95cf49..79884995bd 100644
--- a/morpheus/_lib/llm/src/py_llm_task_handler.cpp
+++ b/morpheus/_lib/llm/src/py_llm_task_handler.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,7 +17,8 @@
 
 #include "py_llm_task_handler.hpp"
 
-#include "morpheus/llm/llm_context.hpp"
+#include "morpheus/llm/llm_context.hpp"   // IWYU pragma: keep
+#include "morpheus/messages/control.hpp"  // IWYU pragma: keep
 
 #include <mrc/coroutines/task.hpp>  // IWYU pragma: keep
 #include <pybind11/pybind11.h>
diff --git a/morpheus/_lib/messages/__init__.pyi b/morpheus/_lib/messages/__init__.pyi
index 362ca78944..2bf358d0e1 100644
--- a/morpheus/_lib/messages/__init__.pyi
+++ b/morpheus/_lib/messages/__init__.pyi
@@ -49,21 +49,39 @@ class ControlMessage():
     @typing.overload
     def config(self, config: dict) -> None: ...
     def copy(self) -> ControlMessage: ...
-    def get_metadata(self, key: typing.Optional[str] = None) -> object: ...
+    def filter_timestamp(self, regex_filter: str) -> dict: 
+        """
+        Retrieve timestamps matching a regex filter within a given group.
+        """
+    def get_metadata(self, key: object = None, default_value: object = None) -> object: ...
     def get_tasks(self) -> dict: ...
+    def get_timestamp(self, key: str, fail_if_nonexist: bool = False) -> object: 
+        """
+        Retrieve the timestamp for a given group and key. Returns None if the timestamp does not exist and fail_if_nonexist is False.
+        """
     def has_metadata(self, key: str) -> bool: ...
     def has_task(self, task_type: str) -> bool: ...
-    def list_metadata(self) -> dict: ...
+    def list_metadata(self) -> list: ...
     @typing.overload
     def payload(self) -> MessageMeta: ...
     @typing.overload
     def payload(self, arg0: MessageMeta) -> None: ...
+    @typing.overload
+    def payload(self, meta: object) -> None: ...
     def remove_task(self, task_type: str) -> dict: ...
     def set_metadata(self, key: str, value: object) -> None: ...
+    def set_timestamp(self, key: str, timestamp: object) -> None: 
+        """
+        Set a timestamp for a given key and group.
+        """
     @typing.overload
     def task_type(self) -> ControlMessageType: ...
     @typing.overload
     def task_type(self, task_type: ControlMessageType) -> None: ...
+    @typing.overload
+    def tensors(self) -> TensorMemory: ...
+    @typing.overload
+    def tensors(self, arg0: TensorMemory) -> None: ...
     pass
 class ControlMessageType():
     """
@@ -166,10 +184,19 @@ class MessageMeta():
     def copy_dataframe(self) -> object: ...
     def ensure_sliceable_index(self) -> typing.Optional[str]: ...
     def get_column_names(self) -> typing.List[str]: ...
+    @typing.overload
+    def get_data(self) -> object: ...
+    @typing.overload
+    def get_data(self, columns: None) -> object: ...
+    @typing.overload
+    def get_data(self, columns: str) -> object: ...
+    @typing.overload
+    def get_data(self, columns: typing.List[str]) -> object: ...
     def has_sliceable_index(self) -> bool: ...
     @staticmethod
     def make_from_file(arg0: str) -> MessageMeta: ...
     def mutable_dataframe(self) -> MutableTableCtxMgr: ...
+    def set_data(self, arg0: object, arg1: object) -> None: ...
     @property
     def count(self) -> int:
         """
@@ -331,4 +358,4 @@ class InferenceMemoryFIL(InferenceMemory, TensorMemory):
     def seq_ids(self, arg1: object) -> None:
         pass
     pass
-__version__ = '23.11.0'
+__version__ = '24.3.0'
diff --git a/morpheus/_lib/messages/module.cpp b/morpheus/_lib/messages/module.cpp
index a6cbd2e711..7132e2192f 100644
--- a/morpheus/_lib/messages/module.cpp
+++ b/morpheus/_lib/messages/module.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -35,19 +35,11 @@
 #include "morpheus/messages/multi_tensor.hpp"
 #include "morpheus/objects/data_table.hpp"
 #include "morpheus/objects/mutable_table_ctx_mgr.hpp"
-#include "morpheus/types.hpp"  // for TensorIndex
 #include "morpheus/utilities/cudf_util.hpp"
 #include "morpheus/utilities/string_util.hpp"
 #include "morpheus/version.hpp"
 
-#include <boost/fiber/future/future.hpp>
-#include <mrc/channel/status.hpp>  // for Status
 #include <mrc/edge/edge_connector.hpp>
-#include <mrc/node/rx_sink_base.hpp>
-#include <mrc/node/rx_source_base.hpp>
-#include <mrc/types.hpp>
-#include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
 #include <pybind11/functional.h>  // IWYU pragma: keep
 #include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
@@ -57,9 +49,7 @@
 #include <pymrc/utils.hpp>  // for pymrc::import
 #include <rxcpp/rx.hpp>
 
-#include <array>
 #include <filesystem>
-#include <map>
 #include <memory>
 #include <sstream>
 #include <string>
@@ -111,6 +101,14 @@ PYBIND11_MODULE(messages, _module)
     mrc::edge::EdgeConnector<std::shared_ptr<morpheus::MessageMeta>, mrc::pymrc::PyObjectHolder>::register_converter();
     mrc::edge::EdgeConnector<mrc::pymrc::PyObjectHolder, std::shared_ptr<morpheus::MessageMeta>>::register_converter();
 
+    mrc::edge::EdgeConnector<std::shared_ptr<morpheus::MultiMessage>, mrc::pymrc::PyObjectHolder>::register_converter();
+    mrc::edge::EdgeConnector<mrc::pymrc::PyObjectHolder, std::shared_ptr<morpheus::MultiMessage>>::register_converter();
+
+    mrc::edge::EdgeConnector<std::shared_ptr<morpheus::MultiInferenceMessage>,
+                             mrc::pymrc::PyObjectHolder>::register_converter();
+    mrc::edge::EdgeConnector<mrc::pymrc::PyObjectHolder,
+                             std::shared_ptr<morpheus::MultiInferenceMessage>>::register_converter();
+
     // EdgeConnectors for derived classes of MultiMessage to MultiMessage
     mrc::edge::EdgeConnector<std::shared_ptr<morpheus::MultiTensorMessage>,
                              std::shared_ptr<morpheus::MultiMessage>>::register_converter();
@@ -231,6 +229,22 @@ PYBIND11_MODULE(messages, _module)
         .def(py::init<>(&MessageMetaInterfaceProxy::init_python), py::arg("df"))
         .def_property_readonly("count", &MessageMetaInterfaceProxy::count)
         .def_property_readonly("df", &MessageMetaInterfaceProxy::df_property, py::return_value_policy::move)
+        .def("get_data",
+             py::overload_cast<MessageMeta&>(&MessageMetaInterfaceProxy::get_data),
+             py::return_value_policy::move)
+        .def("get_data",
+             py::overload_cast<MessageMeta&, std::string>(&MessageMetaInterfaceProxy::get_data),
+             py::return_value_policy::move,
+             py::arg("columns"))
+        .def("get_data",
+             py::overload_cast<MessageMeta&, std::vector<std::string>>(&MessageMetaInterfaceProxy::get_data),
+             py::return_value_policy::move,
+             py::arg("columns"))
+        .def("get_data",
+             py::overload_cast<MessageMeta&, pybind11::none>(&MessageMetaInterfaceProxy::get_data),
+             py::return_value_policy::move,
+             py::arg("columns"))
+        .def("set_data", &MessageMetaInterfaceProxy::set_data, py::return_value_policy::move)
         .def("get_column_names", &MessageMetaInterfaceProxy::get_column_names)
         .def("copy_dataframe", &MessageMetaInterfaceProxy::get_data_frame, py::return_value_policy::move)
         .def("mutable_dataframe", &MessageMetaInterfaceProxy::mutable_dataframe, py::return_value_policy::move)
@@ -368,7 +382,6 @@ PYBIND11_MODULE(messages, _module)
         .value("NONE", ControlMessageType::INFERENCE)
         .value("TRAINING", ControlMessageType::TRAINING);
 
-    // TODO(Devin): Circle back on return value policy choices
     py::class_<ControlMessage, std::shared_ptr<ControlMessage>>(_module, "ControlMessage")
         .def(py::init<>())
         .def(py::init(py::overload_cast<py::dict&>(&ControlMessageProxy::create)))
@@ -379,13 +392,37 @@ PYBIND11_MODULE(messages, _module)
              py::arg("config"))
         .def("config", pybind11::overload_cast<ControlMessage&>(&ControlMessageProxy::config))
         .def("copy", &ControlMessageProxy::copy)
-        .def("get_metadata", &ControlMessageProxy::get_metadata, py::arg("key") = py::none())
+        .def("get_metadata",
+             &ControlMessageProxy::get_metadata,
+             py::arg("key")           = py::none(),
+             py::arg("default_value") = py::none())
         .def("get_tasks", &ControlMessageProxy::get_tasks)
+        .def("filter_timestamp",
+             py::overload_cast<ControlMessage&, const std::string&>(&ControlMessageProxy::filter_timestamp),
+             "Retrieve timestamps matching a regex filter within a given group.",
+             py::arg("regex_filter"))
+        .def("get_timestamp",
+             py::overload_cast<ControlMessage&, const std::string&, bool>(&ControlMessageProxy::get_timestamp),
+             "Retrieve the timestamp for a given group and key. Returns None if the timestamp does not exist and "
+             "fail_if_nonexist is False.",
+             py::arg("key"),
+             py::arg("fail_if_nonexist") = false)
+        .def("set_timestamp",
+             &ControlMessageProxy::set_timestamp,
+             "Set a timestamp for a given key and group.",
+             py::arg("key"),
+             py::arg("timestamp"))
         .def("has_metadata", &ControlMessage::has_metadata, py::arg("key"))
         .def("has_task", &ControlMessage::has_task, py::arg("task_type"))
         .def("list_metadata", &ControlMessageProxy::list_metadata)
-        .def("payload", pybind11::overload_cast<>(&ControlMessage::payload), py::return_value_policy::move)
+        .def("payload", pybind11::overload_cast<>(&ControlMessage::payload))
         .def("payload", pybind11::overload_cast<const std::shared_ptr<MessageMeta>&>(&ControlMessage::payload))
+        .def(
+            "payload",
+            pybind11::overload_cast<ControlMessage&, const py::object&>(&ControlMessageProxy::payload_from_python_meta),
+            py::arg("meta"))
+        .def("tensors", pybind11::overload_cast<>(&ControlMessage::tensors))
+        .def("tensors", pybind11::overload_cast<const std::shared_ptr<TensorMemory>&>(&ControlMessage::tensors))
         .def("remove_task", &ControlMessageProxy::remove_task, py::arg("task_type"))
         .def("set_metadata", &ControlMessageProxy::set_metadata, py::arg("key"), py::arg("value"))
         .def("task_type", pybind11::overload_cast<>(&ControlMessage::task_type))
diff --git a/morpheus/_lib/modules/__init__.pyi b/morpheus/_lib/modules/__init__.pyi
index 1821428f3e..fe23ae9de3 100644
--- a/morpheus/_lib/modules/__init__.pyi
+++ b/morpheus/_lib/modules/__init__.pyi
@@ -14,4 +14,4 @@ __all__ = [
 ]
 
 
-__version__ = '23.11.0'
+__version__ = '24.3.0'
diff --git a/morpheus/_lib/modules/module.cpp b/morpheus/_lib/modules/module.cpp
index 33e0de09d3..1c7dc4811c 100644
--- a/morpheus/_lib/modules/module.cpp
+++ b/morpheus/_lib/modules/module.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,12 +20,9 @@
 #include "morpheus/version.hpp"
 
 #include <mrc/modules/module_registry_util.hpp>
-#include <nlohmann/json.hpp>
-#include <pybind11/cast.h>      // for object_api::operator(), object::cast
 #include <pybind11/pybind11.h>  // for arg, init, class_, module_, str_attr_accessor, PYBIND11_MODULE, pybind11
 #include <pybind11/pytypes.h>
 
-#include <array>  // for array
 #include <sstream>
 #include <vector>
 
diff --git a/morpheus/_lib/src/io/data_loader.cpp b/morpheus/_lib/src/io/data_loader.cpp
index 5cd038032b..183e77bded 100644
--- a/morpheus/_lib/src/io/data_loader.cpp
+++ b/morpheus/_lib/src/io/data_loader.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/io/data_loader_registry.cpp b/morpheus/_lib/src/io/data_loader_registry.cpp
index 0bb3ac447b..c9a61d6e52 100644
--- a/morpheus/_lib/src/io/data_loader_registry.cpp
+++ b/morpheus/_lib/src/io/data_loader_registry.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,14 +24,12 @@
 
 #include <glog/logging.h>
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
-#include <pybind11/gil.h>
+#include <pybind11/gil.h>  // for gil_scoped_acquire
 #include <pybind11/pybind11.h>
 #include <pymrc/utils.hpp>
 
-#include <array>
 #include <iostream>
-#include <utility>
+#include <utility>  // for move
 
 namespace morpheus {
 template class FactoryRegistry<Loader>;
diff --git a/morpheus/_lib/src/io/deserializers.cpp b/morpheus/_lib/src/io/deserializers.cpp
index 0cd129f191..4704b1ba3d 100644
--- a/morpheus/_lib/src/io/deserializers.cpp
+++ b/morpheus/_lib/src/io/deserializers.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/io/loaders/file.cpp b/morpheus/_lib/src/io/loaders/file.cpp
index cf73fa5ad9..dab17a20e6 100644
--- a/morpheus/_lib/src/io/loaders/file.cpp
+++ b/morpheus/_lib/src/io/loaders/file.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,14 +22,12 @@
 
 #include <glog/logging.h>
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
 #include <pymrc/utilities/object_cache.hpp>
 
 #include <algorithm>
-#include <array>
 #include <cctype>
 #include <filesystem>
 #include <iostream>
@@ -131,4 +129,4 @@ std::shared_ptr<ControlMessage> FileDataLoader::load(std::shared_ptr<ControlMess
     message->payload(MessageMeta::create_from_python(std::move(dataframe)));
     return message;
 }
-}  // namespace morpheus
\ No newline at end of file
+}  // namespace morpheus
diff --git a/morpheus/_lib/src/io/loaders/grpc.cpp b/morpheus/_lib/src/io/loaders/grpc.cpp
index 2040d5a0db..5d8101e7bf 100644
--- a/morpheus/_lib/src/io/loaders/grpc.cpp
+++ b/morpheus/_lib/src/io/loaders/grpc.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/io/loaders/lambda.cpp b/morpheus/_lib/src/io/loaders/lambda.cpp
index f26c7ed7f4..99faaf8241 100644
--- a/morpheus/_lib/src/io/loaders/lambda.cpp
+++ b/morpheus/_lib/src/io/loaders/lambda.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/io/loaders/payload.cpp b/morpheus/_lib/src/io/loaders/payload.cpp
index 08019d242d..a996a7915e 100644
--- a/morpheus/_lib/src/io/loaders/payload.cpp
+++ b/morpheus/_lib/src/io/loaders/payload.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/io/loaders/rest.cpp b/morpheus/_lib/src/io/loaders/rest.cpp
index 244e05847f..4e2bfe0b00 100644
--- a/morpheus/_lib/src/io/loaders/rest.cpp
+++ b/morpheus/_lib/src/io/loaders/rest.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,16 +21,15 @@
 #include "morpheus/messages/meta.hpp"
 
 #include <boost/asio.hpp>
-#include <boost/asio/basic_stream_socket.hpp>
+#include <boost/asio/any_io_executor.hpp>
 #include <boost/asio/io_context.hpp>
-#include <boost/asio/ip/basic_resolver.hpp>
 #include <boost/asio/ip/tcp.hpp>
 #include <boost/beast/core.hpp>
-#include <boost/beast/core/basic_stream.hpp>
 #include <boost/beast/core/buffers_to_string.hpp>
 #include <boost/beast/core/error.hpp>
 #include <boost/beast/core/flat_buffer.hpp>
-#include <boost/beast/core/string_type.hpp>
+#include <boost/beast/core/multi_buffer.hpp>
+#include <boost/beast/core/rate_policy.hpp>
 #include <boost/beast/core/tcp_stream.hpp>
 #include <boost/beast/http.hpp>
 #include <boost/beast/http/basic_dynamic_body.hpp>
@@ -43,18 +42,18 @@
 #include <boost/beast/http/string_body.hpp>
 #include <boost/beast/http/verb.hpp>
 #include <boost/beast/version.hpp>
-#include <boost/system/error_code.hpp>
-#include <boost/utility/string_view.hpp>
+#include <boost/intrusive/detail/algo_type.hpp>
+#include <boost/intrusive/link_mode.hpp>
+#include <boost/system/detail/errc.hpp>
+#include <boost/system/detail/error_code.hpp>
 #include <glog/logging.h>
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
 #include <pymrc/utilities/object_cache.hpp>
 
 #include <algorithm>
-#include <array>
 #include <cctype>
 #include <chrono>
 #include <memory>
diff --git a/morpheus/_lib/src/io/serializers.cpp b/morpheus/_lib/src/io/serializers.cpp
index cf7f1d78cd..54234f1592 100644
--- a/morpheus/_lib/src/io/serializers.cpp
+++ b/morpheus/_lib/src/io/serializers.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -28,10 +28,9 @@
 #include <cudf/table/table_view.hpp>
 #include <cudf/types.hpp>
 #include <glog/logging.h>
-#include <pybind11/cast.h>
+#include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
 #include <pybind11/stl.h>  // IWYU pragma: keep
-#include <rmm/mr/device/per_device_resource.hpp>
 
 #include <cstddef>  // for size_t
 #include <fstream>
@@ -114,7 +113,7 @@ void table_to_csv(
         options_builder = options_builder.names(column_names);
     }
 
-    cudf::io::write_csv(options_builder.build(), rmm::mr::get_current_device_resource());
+    cudf::io::write_csv(options_builder.build());
 
     if (flush)
     {
@@ -158,9 +157,13 @@ void table_to_json(const TableInfoData& tbl, std::ostream& out_stream, bool incl
 
     OStreamSink sink(out_stream);
     auto destination     = cudf::io::sink_info(&sink);
-    auto options_builder = cudf::io::json_writer_options_builder(destination, tbl_view).metadata(tbl_meta).lines(true);
+    auto options_builder = cudf::io::json_writer_options_builder(destination, tbl_view)
+                               .metadata(tbl_meta)
+                               .lines(true)
+                               .include_nulls(true)
+                               .na_rep("null");
 
-    cudf::io::write_json(options_builder.build(), rmm::mr::get_current_device_resource());
+    cudf::io::write_json(options_builder.build());
 
     if (flush)
     {
diff --git a/morpheus/_lib/src/llm/input_map.cpp b/morpheus/_lib/src/llm/input_map.cpp
index 8ef323319b..4f27a3235d 100644
--- a/morpheus/_lib/src/llm/input_map.cpp
+++ b/morpheus/_lib/src/llm/input_map.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,16 +20,9 @@
 #include "morpheus/llm/llm_node_runner.hpp"
 
 #include <glog/logging.h>
-#include <nlohmann/json.hpp>
 
-#include <algorithm>
-#include <cstddef>
-#include <iterator>
-#include <regex>
-#include <set>
 #include <sstream>
-#include <stdexcept>
-#include <string_view>
+#include <utility>
 
 namespace morpheus::llm {
 
diff --git a/morpheus/_lib/src/llm/llm_context.cpp b/morpheus/_lib/src/llm/llm_context.cpp
index 1060461f12..e4989936bb 100644
--- a/morpheus/_lib/src/llm/llm_context.cpp
+++ b/morpheus/_lib/src/llm/llm_context.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/llm/llm_engine.cpp b/morpheus/_lib/src/llm/llm_engine.cpp
index cea0e89c74..e0b05c10a6 100644
--- a/morpheus/_lib/src/llm/llm_engine.cpp
+++ b/morpheus/_lib/src/llm/llm_engine.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,9 +17,12 @@
 
 #include "morpheus/llm/llm_engine.hpp"
 
+#include "morpheus/llm/llm_context.hpp"
 #include "morpheus/llm/llm_task.hpp"
+#include "morpheus/llm/llm_task_handler.hpp"
 #include "morpheus/llm/llm_task_handler_runner.hpp"
 #include "morpheus/llm/utils.hpp"
+#include "morpheus/messages/control.hpp"
 
 #include <mrc/coroutines/task.hpp>  // IWYU pragma: keep
 #include <nlohmann/json.hpp>
diff --git a/morpheus/_lib/src/llm/llm_node.cpp b/morpheus/_lib/src/llm/llm_node.cpp
index d4c9bf90c2..7c82269f44 100644
--- a/morpheus/_lib/src/llm/llm_node.cpp
+++ b/morpheus/_lib/src/llm/llm_node.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/llm/llm_node_runner.cpp b/morpheus/_lib/src/llm/llm_node_runner.cpp
index 112f5b4f92..3624eb0b34 100644
--- a/morpheus/_lib/src/llm/llm_node_runner.cpp
+++ b/morpheus/_lib/src/llm/llm_node_runner.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,6 +18,7 @@
 #include "morpheus/llm/llm_node_runner.hpp"
 
 #include "morpheus/llm/llm_context.hpp"
+#include "morpheus/llm/llm_node_base.hpp"
 #include "morpheus/llm/utils.hpp"
 #include "morpheus/utilities/string_util.hpp"
 
diff --git a/morpheus/_lib/src/llm/llm_task.cpp b/morpheus/_lib/src/llm/llm_task.cpp
index 4fd7efb8ac..566dca8ed3 100644
--- a/morpheus/_lib/src/llm/llm_task.cpp
+++ b/morpheus/_lib/src/llm/llm_task.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/llm/llm_task_handler_runner.cpp b/morpheus/_lib/src/llm/llm_task_handler_runner.cpp
index 72f1b427ee..92b71a981c 100644
--- a/morpheus/_lib/src/llm/llm_task_handler_runner.cpp
+++ b/morpheus/_lib/src/llm/llm_task_handler_runner.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/llm/utils.cpp b/morpheus/_lib/src/llm/utils.cpp
index 3e38002ce6..8addc5c4a8 100644
--- a/morpheus/_lib/src/llm/utils.cpp
+++ b/morpheus/_lib/src/llm/utils.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,7 +18,6 @@
 #include "morpheus/llm/utils.hpp"
 
 #include "morpheus/llm/input_map.hpp"
-#include "morpheus/llm/llm_node_runner.hpp"
 #include "morpheus/utilities/string_util.hpp"
 
 #include <glog/logging.h>
@@ -26,6 +25,7 @@
 
 #include <algorithm>
 #include <cstddef>
+#include <functional>
 #include <iterator>
 #include <regex>
 #include <set>
diff --git a/morpheus/_lib/src/messages/control.cpp b/morpheus/_lib/src/messages/control.cpp
index 8f0c569ba4..0edece274d 100644
--- a/morpheus/_lib/src/messages/control.cpp
+++ b/morpheus/_lib/src/messages/control.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,15 +17,22 @@
 
 #include "morpheus/messages/control.hpp"
 
+#include "morpheus/messages/meta.hpp"
+
 #include <glog/logging.h>
+#include <pybind11/chrono.h>  // IWYU pragma: keep
+#include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
 #include <pymrc/utils.hpp>
 
 #include <optional>
 #include <ostream>
+#include <regex>
 #include <stdexcept>
+#include <utility>
 
 namespace py = pybind11;
+using namespace py::literals;
 
 namespace morpheus {
 
@@ -56,7 +63,6 @@ const nlohmann::json& ControlMessage::config() const
 
 void ControlMessage::add_task(const std::string& task_type, const nlohmann::json& task)
 {
-    // TODO(Devin) Schema check
     VLOG(20) << "Adding task of type " << task_type << " to control message" << task.dump(4);
     auto _task_type = s_task_type_map.contains(task_type) ? s_task_type_map[task_type] : ControlMessageType::NONE;
 
@@ -83,9 +89,9 @@ const nlohmann::json& ControlMessage::get_tasks() const
     return m_tasks;
 }
 
-const nlohmann::json ControlMessage::list_metadata() const
+std::vector<std::string> ControlMessage::list_metadata() const
 {
-    nlohmann::json key_list = nlohmann::json::array();
+    std::vector<std::string> key_list{};
 
     for (auto it = m_config["metadata"].begin(); it != m_config["metadata"].end(); ++it)
     {
@@ -110,17 +116,31 @@ bool ControlMessage::has_metadata(const std::string& key) const
     return m_config["metadata"].contains(key);
 }
 
-const nlohmann::json& ControlMessage::get_metadata() const
+nlohmann::json ControlMessage::get_metadata() const
 {
-    return m_config["metadata"];
+    auto metadata = m_config["metadata"];
+
+    return metadata;
 }
 
-const nlohmann::json ControlMessage::get_metadata(const std::string& key) const
+nlohmann::json ControlMessage::get_metadata(const std::string& key, bool fail_on_nonexist) const
 {
-    return m_config["metadata"].at(key);
+    // Assuming m_metadata is a std::map<std::string, nlohmann::json> storing metadata
+    auto metadata = m_config["metadata"];
+    auto it       = metadata.find(key);
+    if (it != metadata.end())
+    {
+        return metadata.at(key);
+    }
+    else if (fail_on_nonexist)
+    {
+        throw std::runtime_error("Metadata key does not exist: " + key);
+    }
+
+    return {};
 }
 
-const nlohmann::json ControlMessage::remove_task(const std::string& task_type)
+nlohmann::json ControlMessage::remove_task(const std::string& task_type)
 {
     auto& task_set = m_tasks.at(task_type);
     auto iter_task = task_set.begin();
@@ -136,6 +156,43 @@ const nlohmann::json ControlMessage::remove_task(const std::string& task_type)
     throw std::runtime_error("No tasks of type " + task_type + " found");
 }
 
+void ControlMessage::set_timestamp(const std::string& key, time_point_t timestamp_ns)
+{
+    // Insert or update the timestamp in the map
+    m_timestamps[key] = timestamp_ns;
+}
+
+std::map<std::string, time_point_t> ControlMessage::filter_timestamp(const std::string& regex_filter)
+{
+    std::map<std::string, time_point_t> matching_timestamps;
+    std::regex filter(regex_filter);
+
+    for (const auto& [key, timestamp] : m_timestamps)
+    {
+        // Check if the key matches the regex
+        if (std::regex_search(key, filter))
+        {
+            matching_timestamps[key] = timestamp;
+        }
+    }
+
+    return matching_timestamps;
+}
+
+std::optional<time_point_t> ControlMessage::get_timestamp(const std::string& key, bool fail_if_nonexist)
+{
+    auto it = m_timestamps.find(key);
+    if (it != m_timestamps.end())
+    {
+        return it->second;  // Return the found timestamp
+    }
+    else if (fail_if_nonexist)
+    {
+        throw std::runtime_error("Timestamp for the specified key does not exist.");
+    }
+    return std::nullopt;
+}
+
 void ControlMessage::config(const nlohmann::json& config)
 {
     if (config.contains("type"))
@@ -171,10 +228,6 @@ void ControlMessage::config(const nlohmann::json& config)
 
 std::shared_ptr<MessageMeta> ControlMessage::payload()
 {
-    // auto temp = std::move(m_payload);
-    //  TODO(Devin): Decide if we copy or steal the payload
-    //  m_payload = nullptr;
-
     return m_payload;
 }
 
@@ -183,6 +236,16 @@ void ControlMessage::payload(const std::shared_ptr<MessageMeta>& payload)
     m_payload = payload;
 }
 
+std::shared_ptr<TensorMemory> ControlMessage::tensors()
+{
+    return m_tensors;
+}
+
+void ControlMessage::tensors(const std::shared_ptr<TensorMemory>& tensors)
+{
+    m_tensors = tensors;
+}
+
 ControlMessageType ControlMessage::task_type()
 {
     return m_cm_type;
@@ -234,14 +297,23 @@ py::dict ControlMessageProxy::config(ControlMessage& self)
     return dict;
 }
 
-py::object ControlMessageProxy::get_metadata(ControlMessage& self, std::optional<std::string> const& key)
+py::object ControlMessageProxy::get_metadata(ControlMessage& self,
+                                             const py::object& key,
+                                             pybind11::object default_value)
 {
-    if (key == std::nullopt)
+    if (key.is_none())
+    {
+        auto metadata = self.get_metadata();
+        return mrc::pymrc::cast_from_json(metadata);
+    }
+
+    auto value = self.get_metadata(py::cast<std::string>(key), false);
+    if (value.empty())
     {
-        return mrc::pymrc::cast_from_json(self.get_metadata());
+        return default_value;
     }
 
-    return mrc::pymrc::cast_from_json(self.get_metadata(key.value()));
+    return mrc::pymrc::cast_from_json(value);
 }
 
 void ControlMessageProxy::set_metadata(ControlMessage& self, const std::string& key, pybind11::object& value)
@@ -249,11 +321,65 @@ void ControlMessageProxy::set_metadata(ControlMessage& self, const std::string&
     self.set_metadata(key, mrc::pymrc::cast_from_pyobject(value));
 }
 
-py::dict ControlMessageProxy::list_metadata(ControlMessage& self)
+py::list ControlMessageProxy::list_metadata(ControlMessage& self)
 {
-    auto dict = mrc::pymrc::cast_from_json(self.list_metadata());
+    auto keys = self.list_metadata();
+    py::list py_keys;
+    for (const auto& key : keys)
+    {
+        py_keys.append(py::str(key));
+    }
+    return py_keys;
+}
 
-    return dict;
+py::dict ControlMessageProxy::filter_timestamp(ControlMessage& self, const std::string& regex_filter)
+{
+    auto cpp_map = self.filter_timestamp(regex_filter);
+    py::dict py_dict;
+    for (const auto& [key, timestamp] : cpp_map)
+    {
+        // Directly use the timestamp as datetime.datetime in Python
+        py_dict[py::str(key)] = timestamp;
+    }
+    return py_dict;
+}
+
+// Get a specific timestamp and return it as datetime.datetime or None
+py::object ControlMessageProxy::get_timestamp(ControlMessage& self, const std::string& key, bool fail_if_nonexist)
+{
+    try
+    {
+        auto timestamp_opt = self.get_timestamp(key, fail_if_nonexist);
+        if (timestamp_opt)
+        {
+            // Directly return the timestamp as datetime.datetime in Python
+            return py::cast(*timestamp_opt);
+        }
+
+        return py::none();
+    } catch (const std::runtime_error& e)
+    {
+        if (fail_if_nonexist)
+        {
+            throw py::value_error(e.what());
+        }
+        return py::none();
+    }
+}
+
+// Set a timestamp using a datetime.datetime object from Python
+void ControlMessageProxy::set_timestamp(ControlMessage& self, const std::string& key, py::object timestamp_ns)
+{
+    if (!py::isinstance<py::none>(timestamp_ns))
+    {
+        // Convert Python datetime.datetime to std::chrono::system_clock::time_point before setting
+        auto _timestamp_ns = timestamp_ns.cast<time_point_t>();
+        self.set_timestamp(key, _timestamp_ns);
+    }
+    else
+    {
+        throw std::runtime_error("Timestamp cannot be None");
+    }
 }
 
 void ControlMessageProxy::config(ControlMessage& self, py::dict& config)
@@ -261,4 +387,9 @@ void ControlMessageProxy::config(ControlMessage& self, py::dict& config)
     self.config(mrc::pymrc::cast_from_pyobject(config));
 }
 
+void ControlMessageProxy::payload_from_python_meta(ControlMessage& self, const pybind11::object& meta)
+{
+    self.payload(MessageMetaInterfaceProxy::init_python_meta(meta));
+}
+
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/messages/memory/inference_memory.cpp b/morpheus/_lib/src/messages/memory/inference_memory.cpp
index f3e1c10cd5..cc434ed9ca 100644
--- a/morpheus/_lib/src/messages/memory/inference_memory.cpp
+++ b/morpheus/_lib/src/messages/memory/inference_memory.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,11 +17,10 @@
 
 #include "morpheus/messages/memory/inference_memory.hpp"
 
-// for TensorObject
 #include "morpheus/objects/tensor_object.hpp"  // IWYU pragma: keep
 #include "morpheus/utilities/cupy_util.hpp"    // for CupyUtil::cupy_to_tensors, CupyUtil::py_tensor_map_t
 
-#include <pybind11/cast.h>
+#include <pybind11/pybind11.h>
 #include <pybind11/stl.h>  // IWYU pragma: keep
 
 #include <string>
diff --git a/morpheus/_lib/src/messages/memory/inference_memory_fil.cpp b/morpheus/_lib/src/messages/memory/inference_memory_fil.cpp
index 039744295f..5c0f550ae7 100644
--- a/morpheus/_lib/src/messages/memory/inference_memory_fil.cpp
+++ b/morpheus/_lib/src/messages/memory/inference_memory_fil.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/messages/memory/inference_memory_nlp.cpp b/morpheus/_lib/src/messages/memory/inference_memory_nlp.cpp
index ccbc95545c..cc4fd2b041 100644
--- a/morpheus/_lib/src/messages/memory/inference_memory_nlp.cpp
+++ b/morpheus/_lib/src/messages/memory/inference_memory_nlp.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/messages/memory/response_memory.cpp b/morpheus/_lib/src/messages/memory/response_memory.cpp
index 908ca7c247..2949b7c8f0 100644
--- a/morpheus/_lib/src/messages/memory/response_memory.cpp
+++ b/morpheus/_lib/src/messages/memory/response_memory.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,7 +19,7 @@
 
 #include "morpheus/utilities/cupy_util.hpp"
 
-#include <pybind11/cast.h>
+#include <pybind11/pybind11.h>
 #include <pybind11/stl.h>  // IWYU pragma: keep
 
 #include <string>
diff --git a/morpheus/_lib/src/messages/memory/response_memory_probs.cpp b/morpheus/_lib/src/messages/memory/response_memory_probs.cpp
index 4e143bcf16..8280277e6d 100644
--- a/morpheus/_lib/src/messages/memory/response_memory_probs.cpp
+++ b/morpheus/_lib/src/messages/memory/response_memory_probs.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/messages/memory/tensor_memory.cpp b/morpheus/_lib/src/messages/memory/tensor_memory.cpp
index d6855c83cb..f3da72e487 100644
--- a/morpheus/_lib/src/messages/memory/tensor_memory.cpp
+++ b/morpheus/_lib/src/messages/memory/tensor_memory.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,7 +22,7 @@
 #include "morpheus/utilities/stage_util.hpp"
 #include "morpheus/utilities/string_util.hpp"  // for MORPHEUS_CONCAT_STR
 
-#include <pybind11/cast.h>
+#include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>  // for attribute_error, key_error
 #include <pybind11/stl.h>      // IWYU pragma: keep
 
diff --git a/morpheus/_lib/src/messages/meta.cpp b/morpheus/_lib/src/messages/meta.cpp
index a0b86c23fd..dfb8dfbd47 100644
--- a/morpheus/_lib/src/messages/meta.cpp
+++ b/morpheus/_lib/src/messages/meta.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,23 +18,32 @@
 #include "morpheus/messages/meta.hpp"
 
 #include "morpheus/io/deserializers.hpp"
+#include "morpheus/objects/dtype.hpp"  // for DType
 #include "morpheus/objects/mutable_table_ctx_mgr.hpp"
 #include "morpheus/objects/python_data_table.hpp"
 #include "morpheus/objects/table_info.hpp"
+#include "morpheus/objects/tensor_object.hpp"
 #include "morpheus/utilities/cudf_util.hpp"
 
+#include <cuda_runtime.h>               // for cudaMemcpy, cudaMemcpy2D, cudaMemcpyKind
+#include <cudf/column/column_view.hpp>  // for column_view
 #include <cudf/io/types.hpp>
+#include <cudf/types.hpp>  // for type_id, data_type, size_type
 #include <glog/logging.h>
+#include <mrc/cuda/common.hpp>  // for __check_cuda_errors, MRC_CHECK_CUDA
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
 #include <pyerrors.h>  // for PyExc_DeprecationWarning
 #include <warnings.h>  // for PyErr_WarnEx
 
+#include <cstddef>  // for size_t
+#include <cstdint>  // for uint8_t
 #include <memory>
 #include <optional>
 #include <ostream>    // for operator<< needed by glog
 #include <stdexcept>  // for runtime_error
+#include <tuple>      // for make_tuple, tuple
 #include <utility>
 // We're already including pybind11.h and don't need to include cast.
 // For some reason IWYU also thinks we need array for the `isinsance` call.
@@ -44,6 +53,7 @@
 namespace morpheus {
 
 namespace py = pybind11;
+using namespace py::literals;
 
 /****** Component public implementations *******************/
 /****** MessageMeta ****************************************/
@@ -58,6 +68,77 @@ TableInfo MessageMeta::get_info() const
     return this->m_data->get_info();
 }
 
+TableInfo MessageMeta::get_info(const std::string& col_name) const
+{
+    auto full_info = this->m_data->get_info();
+
+    return full_info.get_slice(0, full_info.num_rows(), {col_name});
+}
+
+TableInfo MessageMeta::get_info(const std::vector<std::string>& column_names) const
+{
+    auto full_info = this->m_data->get_info();
+
+    return full_info.get_slice(0, full_info.num_rows(), column_names);
+}
+
+void MessageMeta::set_data(const std::string& col_name, TensorObject tensor)
+{
+    this->set_data({col_name}, {tensor});
+}
+
+void MessageMeta::set_data(const std::vector<std::string>& column_names, const std::vector<TensorObject>& tensors)
+{
+    CHECK_EQ(column_names.size(), tensors.size()) << "Column names and tensors must be the same size";
+
+    TableInfo table_meta;
+    try
+    {
+        table_meta = this->get_info(column_names);
+    } catch (const std::runtime_error& e)
+    {
+        std::ostringstream err_msg;
+        err_msg << e.what() << " Ensure that the stage that needs this column has populated the '_needed_columns' "
+                << "attribute and that at least one stage in the current segment is using the PreallocatorMixin to "
+                << "ensure all needed columns have been allocated.";
+        throw std::runtime_error(err_msg.str());
+    }
+
+    for (std::size_t i = 0; i < tensors.size(); ++i)
+    {
+        const auto& cv            = table_meta.get_column(i);
+        const auto table_type_id  = cv.type().id();
+        const auto tensor_type    = DType(tensors[i].dtype());
+        const auto tensor_type_id = tensor_type.cudf_type_id();
+        const auto row_stride     = tensors[i].stride(0);
+
+        CHECK(tensors[i].count() == cv.size() &&
+              (table_type_id == tensor_type_id ||
+               (table_type_id == cudf::type_id::BOOL8 && tensor_type_id == cudf::type_id::UINT8)));
+
+        const auto item_size = tensors[i].dtype().item_size();
+
+        // Dont use cv.data<>() here since that does not account for the size of each element
+        auto data_start = const_cast<uint8_t*>(cv.head<uint8_t>()) + cv.offset() * item_size;
+
+        if (row_stride == 1)
+        {
+            // column major just use cudaMemcpy
+            MRC_CHECK_CUDA(cudaMemcpy(data_start, tensors[i].data(), tensors[i].bytes(), cudaMemcpyDeviceToDevice));
+        }
+        else
+        {
+            MRC_CHECK_CUDA(cudaMemcpy2D(data_start,
+                                        item_size,
+                                        tensors[i].data(),
+                                        row_stride * item_size,
+                                        item_size,
+                                        cv.size(),
+                                        cudaMemcpyDeviceToDevice));
+        }
+    }
+}
+
 MutableTableInfo MessageMeta::get_mutable_info() const
 {
     return this->m_data->get_mutable_info();
@@ -144,20 +225,184 @@ std::shared_ptr<MessageMeta> MessageMetaInterfaceProxy::init_python(py::object&&
         }
         else
         {
-            throw pybind11::value_error("Dataframe is not a cudf or pandas dataframe");
+            // check to see if its a Python MessageMeta object
+            auto msg_meta_cls = py::module_::import("morpheus.messages").attr("MessageMeta");
+            if (py::isinstance(data_frame, msg_meta_cls))
+            {
+                return init_python_meta(data_frame);
+            }
+            else
+            {
+                throw pybind11::value_error("Dataframe is not a cudf or pandas dataframe");
+            }
         }
     }
 
     return MessageMeta::create_from_python(std::move(data_frame));
 }
 
+std::shared_ptr<MessageMeta> MessageMetaInterfaceProxy::init_python_meta(const py::object& meta)
+{
+    // check to see if its a Python MessageMeta object
+    auto msg_meta_cls = py::module_::import("morpheus.messages").attr("MessageMeta");
+    if (py::isinstance(meta, msg_meta_cls))
+    {
+        DVLOG(10) << "Converting Python impl of MessageMeta to C++ impl";
+        return init_python(meta.attr("copy_dataframe")());
+    }
+    else
+    {
+        throw pybind11::value_error("meta is not a Python instance of MestageMeta");
+    }
+}
+
 TensorIndex MessageMetaInterfaceProxy::count(MessageMeta& self)
 {
     return self.count();
 }
 
+pybind11::object MessageMetaInterfaceProxy::get_data(MessageMeta& self)
+{
+    // Need to release the GIL before calling `get_meta()`
+    pybind11::gil_scoped_release no_gil;
+
+    // Get the column and convert to cudf
+    auto info = self.get_info();
+
+    // Convert to a python datatable. Automatically gets the GIL
+    return CudfHelper::table_from_table_info(info);
+}
+
+pybind11::object MessageMetaInterfaceProxy::get_data(MessageMeta& self, std::string col_name)
+{
+    TableInfo info;
+
+    {
+        // Need to release the GIL before calling `get_meta()`
+        pybind11::gil_scoped_release no_gil;
+
+        // Get the column and convert to cudf
+        info = self.get_info(col_name);
+    }
+
+    auto py_table = CudfHelper::table_from_table_info(info);
+
+    // Now convert it to a series by selecting only the column
+    return py_table[col_name.c_str()];
+}
+
+pybind11::object MessageMetaInterfaceProxy::get_data(MessageMeta& self, std::vector<std::string> columns)
+{
+    // Need to release the GIL before calling `get_meta()`
+    pybind11::gil_scoped_release no_gil;
+
+    // Get the column and convert to cudf
+    auto info = self.get_info(columns);
+
+    // Convert to a python datatable. Automatically gets the GIL
+    return CudfHelper::table_from_table_info(info);
+}
+
+pybind11::object MessageMetaInterfaceProxy::get_data(MessageMeta& self, pybind11::none none_obj)
+{
+    // Just offload to the overload without columns. This overload is needed to match the python interface
+    return MessageMetaInterfaceProxy::get_data(self);
+}
+
+std::tuple<py::object, py::object> get_indexers(MessageMeta& self,
+                                                py::object df,
+                                                py::object columns,
+                                                cudf::size_type num_rows)
+{
+    auto row_indexer = pybind11::slice(pybind11::int_(0), pybind11::int_(num_rows), pybind11::none());
+
+    if (columns.is_none())
+    {
+        columns = df.attr("columns").attr("to_list")();
+    }
+    else if (pybind11::isinstance<pybind11::str>(columns))
+    {
+        // Convert a single string into a list so all versions return tables, not series
+        pybind11::list col_list;
+
+        col_list.append(columns);
+
+        columns = std::move(col_list);
+    }
+
+    auto column_indexer = df.attr("columns").attr("get_indexer_for")(columns);
+
+    return std::make_tuple(row_indexer, column_indexer);
+}
+
+void MessageMetaInterfaceProxy::set_data(MessageMeta& self, pybind11::object columns, pybind11::object value)
+{
+    // Need to release the GIL before calling `get_meta()`
+    pybind11::gil_scoped_release no_gil;
+
+    auto mutable_info = self.get_mutable_info();
+    auto num_rows     = mutable_info.num_rows();
+
+    // Need the GIL for the remainder
+    pybind11::gil_scoped_acquire gil;
+
+    auto pdf = mutable_info.checkout_obj();
+    auto& df = *pdf;
+
+    auto [row_indexer, column_indexer] = get_indexers(self, df, columns, num_rows);
+
+    // Check to see if this is adding a column. If so, we need to use .loc instead of .iloc
+    if (column_indexer.contains(-1))
+    {
+        // cudf is really bad at adding new columns. Need to use loc with a unique and monotonic index
+        py::object saved_index = df.attr("index");
+
+        // Check to see if we can use slices
+        if (!(saved_index.attr("is_unique").cast<bool>() && (saved_index.attr("is_monotonic_increasing").cast<bool>() ||
+                                                             saved_index.attr("is_monotonic_decreasing").cast<bool>())))
+        {
+            df.attr("reset_index")("drop"_a = true, "inplace"_a = true);
+        }
+        else
+        {
+            // Erase the saved index so we dont reset it
+            saved_index = py::none();
+        }
+
+        // Perform the update via slices
+        df.attr("loc")[pybind11::make_tuple(df.attr("index")[row_indexer], columns)] = value;
+
+        // Reset the index if we changed it
+        if (!saved_index.is_none())
+        {
+            df.attr("set_index")(saved_index, "inplace"_a = true);
+        }
+    }
+    else
+    {
+        // If we only have one column, convert it to a series (broadcasts work with more types on a series)
+        if (pybind11::len(column_indexer) == 1)
+        {
+            column_indexer = column_indexer.cast<py::list>()[0];
+        }
+
+        try
+        {
+            // Use iloc
+            df.attr("iloc")[pybind11::make_tuple(row_indexer, column_indexer)] = value;
+        } catch (py::error_already_set)
+        {
+            // Try this as a fallback. Works better for strings. See issue #286
+            df[columns].attr("iloc")[row_indexer] = value;
+        }
+    }
+
+    mutable_info.return_obj(std::move(pdf));
+}
+
 std::vector<std::string> MessageMetaInterfaceProxy::get_column_names(MessageMeta& self)
 {
+    pybind11::gil_scoped_release no_gil;
     return self.get_column_names();
 }
 
diff --git a/morpheus/_lib/src/messages/multi.cpp b/morpheus/_lib/src/messages/multi.cpp
index 2f89a5978c..6e42e839d7 100644
--- a/morpheus/_lib/src/messages/multi.cpp
+++ b/morpheus/_lib/src/messages/multi.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -32,20 +32,17 @@
 #include <cudf/types.hpp>
 #include <glog/logging.h>       // for CHECK
 #include <mrc/cuda/common.hpp>  // for MRC_CHECK_CUDA
-#include <pybind11/cast.h>
+#include <pybind11/cast.h>      // IWYU pragma: keep
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
-#include <rmm/mr/device/per_device_resource.hpp>  // for get_current_device_resource
 
 #include <algorithm>  // for transform
-#include <array>      // needed for pybind11::make_tuple
 #include <cstddef>    // for size_t
 #include <cstdint>    // for uint8_t
 #include <sstream>
 #include <stdexcept>  // for runtime_error
 #include <tuple>
-#include <type_traits>
 #include <utility>
 // IWYU pragma: no_include <unordered_map>
 
@@ -166,8 +163,7 @@ std::shared_ptr<MessageMeta> MultiMessage::copy_meta_ranges(const std::vector<Ra
 
     auto table_view                     = table_info.get_view();
     auto sliced_views                   = cudf::slice(table_view, cudf_ranges);
-    cudf::io::table_with_metadata table = {cudf::concatenate(sliced_views, rmm::mr::get_current_device_resource()),
-                                           std::move(metadata)};
+    cudf::io::table_with_metadata table = {cudf::concatenate(sliced_views), std::move(metadata)};
 
     return MessageMeta::create_from_cpp(std::move(table), 1);
 }
@@ -377,7 +373,8 @@ void MultiMessageInterfaceProxy::set_meta(MultiMessage& self, pybind11::object c
     // Need the GIL for the remainder
     pybind11::gil_scoped_acquire gil;
 
-    auto df = mutable_info.checkout_obj();
+    auto pdf = mutable_info.checkout_obj();
+    auto& df = *pdf;
 
     auto [row_indexer, column_indexer] = get_indexers(self, df, columns);
 
@@ -427,7 +424,7 @@ void MultiMessageInterfaceProxy::set_meta(MultiMessage& self, pybind11::object c
         }
     }
 
-    mutable_info.return_obj(std::move(df));
+    mutable_info.return_obj(std::move(pdf));
 }
 
 std::shared_ptr<MultiMessage> MultiMessageInterfaceProxy::get_slice(MultiMessage& self,
diff --git a/morpheus/_lib/src/messages/multi_inference.cpp b/morpheus/_lib/src/messages/multi_inference.cpp
index 7569d2a0ac..6664e27550 100644
--- a/morpheus/_lib/src/messages/multi_inference.cpp
+++ b/morpheus/_lib/src/messages/multi_inference.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/messages/multi_inference_fil.cpp b/morpheus/_lib/src/messages/multi_inference_fil.cpp
index f582ebbc1c..af255778b7 100644
--- a/morpheus/_lib/src/messages/multi_inference_fil.cpp
+++ b/morpheus/_lib/src/messages/multi_inference_fil.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/messages/multi_inference_nlp.cpp b/morpheus/_lib/src/messages/multi_inference_nlp.cpp
index 4b31bc11bc..0c0e85d560 100644
--- a/morpheus/_lib/src/messages/multi_inference_nlp.cpp
+++ b/morpheus/_lib/src/messages/multi_inference_nlp.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/messages/multi_response.cpp b/morpheus/_lib/src/messages/multi_response.cpp
index a37a041957..bb1f7205c7 100644
--- a/morpheus/_lib/src/messages/multi_response.cpp
+++ b/morpheus/_lib/src/messages/multi_response.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/messages/multi_response_probs.cpp b/morpheus/_lib/src/messages/multi_response_probs.cpp
index b59a4f97b2..4b643ceb94 100644
--- a/morpheus/_lib/src/messages/multi_response_probs.cpp
+++ b/morpheus/_lib/src/messages/multi_response_probs.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/messages/multi_tensor.cpp b/morpheus/_lib/src/messages/multi_tensor.cpp
index 880e16a715..1d9db00efd 100644
--- a/morpheus/_lib/src/messages/multi_tensor.cpp
+++ b/morpheus/_lib/src/messages/multi_tensor.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/modules/data_loader_module.cpp b/morpheus/_lib/src/modules/data_loader_module.cpp
index 7ea55387c6..2abf1edda8 100644
--- a/morpheus/_lib/src/modules/data_loader_module.cpp
+++ b/morpheus/_lib/src/modules/data_loader_module.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,8 +17,6 @@
 
 #include "morpheus/modules/data_loader_module.hpp"
 
-#include "rxcpp/operators/rx-map.hpp"
-
 #include "morpheus/io/data_loader_registry.hpp"
 #include "morpheus/messages/control.hpp"
 
@@ -26,18 +24,17 @@
 #include <mrc/modules/segment_modules.hpp>
 #include <mrc/node/rx_node.hpp>
 #include <mrc/segment/builder.hpp>
+#include <mrc/segment/object.hpp>
 #include <mrc/utils/type_utils.hpp>
 #include <nlohmann/json.hpp>
 #include <rxcpp/rx.hpp>
 // IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
 
-#include <map>
 #include <memory>
 #include <ostream>
 #include <stdexcept>
 #include <string>
 #include <utility>
-#include <vector>
 
 using namespace mrc::modules;
 using nlohmann::json;
diff --git a/morpheus/_lib/src/objects/data_table.cpp b/morpheus/_lib/src/objects/data_table.cpp
index e294463cb8..f4f7fd855d 100644
--- a/morpheus/_lib/src/objects/data_table.cpp
+++ b/morpheus/_lib/src/objects/data_table.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/objects/dev_mem_info.cpp b/morpheus/_lib/src/objects/dev_mem_info.cpp
index b656e3d31d..444764d063 100644
--- a/morpheus/_lib/src/objects/dev_mem_info.cpp
+++ b/morpheus/_lib/src/objects/dev_mem_info.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/objects/dtype.cpp b/morpheus/_lib/src/objects/dtype.cpp
index fe1adbd82c..912a945b3a 100644
--- a/morpheus/_lib/src/objects/dtype.cpp
+++ b/morpheus/_lib/src/objects/dtype.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/objects/fiber_queue.cpp b/morpheus/_lib/src/objects/fiber_queue.cpp
index ede030095a..de223b58cd 100644
--- a/morpheus/_lib/src/objects/fiber_queue.cpp
+++ b/morpheus/_lib/src/objects/fiber_queue.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/objects/file_types.cpp b/morpheus/_lib/src/objects/file_types.cpp
index b99af5a3b9..20f8ca956e 100644
--- a/morpheus/_lib/src/objects/file_types.cpp
+++ b/morpheus/_lib/src/objects/file_types.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -49,4 +49,9 @@ FileTypes determine_file_type(const std::string& filename)
     }
 }
 
+FileTypes determine_file_type(const std::filesystem::path& filename)
+{
+    return determine_file_type(filename.string());
+}
+
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/objects/memory_descriptor.cpp b/morpheus/_lib/src/objects/memory_descriptor.cpp
index 49753ef098..3329bee6bc 100644
--- a/morpheus/_lib/src/objects/memory_descriptor.cpp
+++ b/morpheus/_lib/src/objects/memory_descriptor.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,16 +17,12 @@
 
 #include "morpheus/objects/memory_descriptor.hpp"
 
-#include <rmm/mr/device/per_device_resource.hpp>  // for get_current_device_resource
+#include <rmm/cuda_stream_view.hpp>
 
 #include <utility>  // for move
 
-MemoryDescriptor::MemoryDescriptor(rmm::cuda_stream_view stream, rmm::mr::device_memory_resource* mem_resource) :
+MemoryDescriptor::MemoryDescriptor(rmm::cuda_stream_view stream,
+                                   cuda::mr::async_resource_ref<cuda::mr::device_accessible> mem_resource) :
   cuda_stream(std::move(stream)),
   memory_resource(mem_resource)
-{
-    if (memory_resource == nullptr)
-    {
-        memory_resource = rmm::mr::get_current_device_resource();
-    }
-}
+{}
diff --git a/morpheus/_lib/src/objects/mutable_table_ctx_mgr.cpp b/morpheus/_lib/src/objects/mutable_table_ctx_mgr.cpp
index a0cdc01ed6..b895252767 100644
--- a/morpheus/_lib/src/objects/mutable_table_ctx_mgr.cpp
+++ b/morpheus/_lib/src/objects/mutable_table_ctx_mgr.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,6 +22,7 @@
 #include <pybind11/gil.h>
 #include <pybind11/pytypes.h>
 
+#include <memory>
 #include <utility>
 
 namespace morpheus {
@@ -39,13 +40,16 @@ py::object MutableTableCtxMgr::enter()
     // Release the GIL
     py::gil_scoped_release no_gil;
     m_table    = std::make_unique<MutableTableInfo>(std::move(m_meta_msg.get_mutable_info()));
-    m_py_table = std::make_unique<py::object>(std::move(m_table->checkout_obj()));
+    m_py_table = m_table->checkout_obj();
     return *m_py_table;
 }
 
 void MutableTableCtxMgr::exit(const py::object& type, const py::object& value, const py::object& traceback)
 {
-    m_table->return_obj(std::move(*m_py_table.release()));
+    std::unique_ptr<pybind11::object> ptr{nullptr};
+    m_py_table.swap(ptr);
+
+    m_table->return_obj(std::move(ptr));
     m_table.reset(nullptr);
 }
 
diff --git a/morpheus/_lib/src/objects/python_data_table.cpp b/morpheus/_lib/src/objects/python_data_table.cpp
index 276906330a..478aa1f284 100644
--- a/morpheus/_lib/src/objects/python_data_table.cpp
+++ b/morpheus/_lib/src/objects/python_data_table.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,11 +20,9 @@
 #include "morpheus/utilities/cudf_util.hpp"
 
 #include <cudf/types.hpp>
-#include <pybind11/cast.h>  // for object::cast
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>
 
-#include <array>
 #include <utility>
 
 namespace morpheus {
diff --git a/morpheus/_lib/src/objects/rmm_tensor.cpp b/morpheus/_lib/src/objects/rmm_tensor.cpp
index aaa9d81965..7abd593392 100644
--- a/morpheus/_lib/src/objects/rmm_tensor.cpp
+++ b/morpheus/_lib/src/objects/rmm_tensor.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/objects/table_info.cpp b/morpheus/_lib/src/objects/table_info.cpp
index ab25ebc213..9661e42b97 100644
--- a/morpheus/_lib/src/objects/table_info.cpp
+++ b/morpheus/_lib/src/objects/table_info.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -29,7 +29,6 @@
 #include <pybind11/stl.h>  // IWYU pragma: keep
 
 #include <algorithm>  // for find, transform
-#include <array>      // needed for pybind11::make_tuple
 #include <cstddef>    // for size_t
 #include <iterator>   // for back_insert_iterator, back_inserter
 #include <memory>
@@ -78,13 +77,12 @@ TableInfoData get_table_info_data_slice(const TableInfoData& table,
     // Start with our table view
     auto table_view_out = table.table_view;
 
+    std::vector<cudf::size_type> col_indices;
+    std::vector<cudf::size_type> col_indices_mapppings;
+
     // If the columns are different, calculate the new slice
     if (column_names != table.column_names)
     {
-        std::vector<cudf::size_type> col_indices;
-
-        std::vector<std::string> new_column_names;
-
         // Append the indices column idx by default
         for (cudf::size_type i = 0; i < table.index_names.size(); ++i)
         {
@@ -94,7 +92,7 @@ TableInfoData get_table_info_data_slice(const TableInfoData& table,
         std::transform(column_names.begin(),
                        column_names.end(),
                        std::back_inserter(col_indices),
-                       [&table, &new_column_names](const std::string& c) {
+                       [&table, &col_indices_mapppings](const std::string& c) {
                            auto found_col = std::find(table.column_names.begin(), table.column_names.end(), c);
 
                            if (found_col == table.column_names.end())
@@ -102,10 +100,11 @@ TableInfoData get_table_info_data_slice(const TableInfoData& table,
                                throw py::key_error("Unknown column: " + c);
                            }
 
-                           // Add the found column to the metadata
-                           new_column_names.push_back(c);
+                           auto idx = (found_col - table.column_names.begin());
+
+                           col_indices_mapppings.push_back(idx);
 
-                           return (found_col - table.column_names.begin() + table.index_names.size());
+                           return idx + table.index_names.size();
                        });
 
         table_view_out = table_view_out.select(col_indices);
@@ -117,6 +116,12 @@ TableInfoData get_table_info_data_slice(const TableInfoData& table,
         table_view_out = cudf::slice(table_view_out, {start, stop})[0];
     }
 
+    if (col_indices_mapppings.size() > 0)
+    {
+        // Create a new TableInfoData
+        return {table_view_out, table.index_names, column_names, col_indices_mapppings};
+    }
+
     // Create a new TableInfoData
     return {table_view_out, table.index_names, column_names};
 }
@@ -276,31 +281,36 @@ void MutableTableInfo::insert_missing_columns(const std::vector<std::tuple<std::
     }
 }
 
-py::object MutableTableInfo::checkout_obj()
+std::unique_ptr<pybind11::object> MutableTableInfo::checkout_obj()
 {
     // Get a copy increasing the ref count
     py::object checked_out_obj = this->get_parent()->get_py_object();
 
     m_checked_out_ref_count = checked_out_obj.ref_count();
 
-    return checked_out_obj;
+    auto ptr = std::make_unique<py::object>(std::move(checked_out_obj));
+
+    return ptr;
 }
 
-void MutableTableInfo::return_obj(py::object&& obj)
+void MutableTableInfo::return_obj(std::unique_ptr<pybind11::object>&& obj)
 {
+    obj.reset(nullptr);
     m_checked_out_ref_count = -1;
 }
 
 std::optional<std::string> MutableTableInfo::ensure_sliceable_index()
 {
     std::optional<std::string> old_index_col_name{"_index_"};
-    auto py_df = this->checkout_obj();
+    auto ptr_df = this->checkout_obj();
     {
         py::gil_scoped_acquire gil;
+        auto& py_df   = *ptr_df;
         auto df_index = py_df.attr("index");
 
         // Check to see if we actually need the change
-        if (df_index.attr("is_unique").cast<bool>() && df_index.attr("is_monotonic").cast<bool>())
+        if (df_index.attr("is_unique").cast<bool>() && (df_index.attr("is_monotonic_increasing").cast<bool>() ||
+                                                        df_index.attr("is_monotonic_decreasing").cast<bool>()))
         {
             // Set the outputname to nullopt
             old_index_col_name = std::nullopt;
@@ -320,7 +330,7 @@ std::optional<std::string> MutableTableInfo::ensure_sliceable_index()
         }
     }
 
-    this->return_obj(std::move(py_df));
+    this->return_obj(std::move(ptr_df));
 
     // If we made a change, update the index and column list
     if (old_index_col_name.has_value())
diff --git a/morpheus/_lib/src/objects/tensor.cpp b/morpheus/_lib/src/objects/tensor.cpp
index 55a0851152..19a6741d48 100644
--- a/morpheus/_lib/src/objects/tensor.cpp
+++ b/morpheus/_lib/src/objects/tensor.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/objects/tensor_object.cpp b/morpheus/_lib/src/objects/tensor_object.cpp
index 79ea0a0c4e..3f152f620c 100644
--- a/morpheus/_lib/src/objects/tensor_object.cpp
+++ b/morpheus/_lib/src/objects/tensor_object.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/objects/wrapped_tensor.cpp b/morpheus/_lib/src/objects/wrapped_tensor.cpp
index 474189e283..b593cc6c97 100644
--- a/morpheus/_lib/src/objects/wrapped_tensor.cpp
+++ b/morpheus/_lib/src/objects/wrapped_tensor.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,13 +18,11 @@
 #include "morpheus/objects/wrapped_tensor.hpp"
 
 #include "morpheus/objects/tensor_object.hpp"  // for TensorObject
-#include "morpheus/types.hpp"                  // for ShapeType
 #include "morpheus/utilities/cupy_util.hpp"
 
-#include <pybind11/cast.h>
+#include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
 
-#include <array>    // needed for make_tuple
 #include <cstdint>  // for uintptr_t
 #include <utility>
 #include <vector>  // get_shape & get_stride return vectors
diff --git a/morpheus/_lib/src/stages/add_classification.cpp b/morpheus/_lib/src/stages/add_classification.cpp
index 03f3ace60f..7bdb5e2eec 100644
--- a/morpheus/_lib/src/stages/add_classification.cpp
+++ b/morpheus/_lib/src/stages/add_classification.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,6 +20,8 @@
 #include "mrc/segment/builder.hpp"
 #include "mrc/segment/object.hpp"
 
+#include "morpheus/messages/control.hpp"
+
 #include <cstddef>
 #include <memory>
 #include <optional>
@@ -31,18 +33,32 @@ namespace morpheus {
 
 // Component public implementations
 // ************ AddClassificationStage **************************** //
-AddClassificationsStage::AddClassificationsStage(std::map<std::size_t, std::string> idx2label, float threshold) :
-  AddScoresStageBase(std::move(idx2label), threshold)
+template <typename InputT, typename OutputT>
+AddClassificationsStage<InputT, OutputT>::AddClassificationsStage(std::map<std::size_t, std::string> idx2label,
+                                                                  float threshold) :
+  AddScoresStageBase<InputT, OutputT>(std::move(idx2label), threshold)
 {}
 
+template class AddClassificationsStage<MultiResponseMessage, MultiResponseMessage>;
+template class AddClassificationsStage<ControlMessage, ControlMessage>;
+
 // ************ AddClassificationStageInterfaceProxy ************* //
-std::shared_ptr<mrc::segment::Object<AddClassificationsStage>> AddClassificationStageInterfaceProxy::init(
+std::shared_ptr<mrc::segment::Object<AddClassificationsStageMM>> AddClassificationStageInterfaceProxy::init_multi(
+    mrc::segment::Builder& builder,
+    const std::string& name,
+    std::map<std::size_t, std::string> idx2label,
+    float threshold)
+{
+    return builder.construct_object<AddClassificationsStageMM>(name, idx2label, threshold);
+}
+
+std::shared_ptr<mrc::segment::Object<AddClassificationsStageCM>> AddClassificationStageInterfaceProxy::init_cm(
     mrc::segment::Builder& builder,
     const std::string& name,
     std::map<std::size_t, std::string> idx2label,
     float threshold)
 {
-    return builder.construct_object<AddClassificationsStage>(name, idx2label, threshold);
+    return builder.construct_object<AddClassificationsStageCM>(name, idx2label, threshold);
 }
 
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/stages/add_scores.cpp b/morpheus/_lib/src/stages/add_scores.cpp
index e7d1a31c0e..bd5eb69b19 100644
--- a/morpheus/_lib/src/stages/add_scores.cpp
+++ b/morpheus/_lib/src/stages/add_scores.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,6 +20,7 @@
 #include "mrc/segment/builder.hpp"
 #include "mrc/segment/object.hpp"
 
+#include "morpheus/messages/control.hpp"
 #include "morpheus/stages/add_scores_stage_base.hpp"
 
 #include <cstddef>  // for size_t
@@ -34,15 +35,25 @@ namespace morpheus {
 
 // Component public implementations
 // ************ AddScoresStage **************************** //
-AddScoresStage::AddScoresStage(std::map<std::size_t, std::string> idx2label) :
-  AddScoresStageBase(std::move(idx2label), std::nullopt)
+template <typename InputT, typename OutputT>
+AddScoresStage<InputT, OutputT>::AddScoresStage(std::map<std::size_t, std::string> idx2label) :
+  AddScoresStageBase<InputT, OutputT>(std::move(idx2label), std::nullopt)
 {}
 
+template class AddScoresStage<MultiResponseMessage, MultiResponseMessage>;
+template class AddScoresStage<ControlMessage, ControlMessage>;
+
 // ************ AddScoresStageInterfaceProxy ************* //
-std::shared_ptr<mrc::segment::Object<AddScoresStage>> AddScoresStageInterfaceProxy::init(
+std::shared_ptr<mrc::segment::Object<AddScoresStageMM>> AddScoresStageInterfaceProxy::init_multi(
+    mrc::segment::Builder& builder, const std::string& name, std::map<std::size_t, std::string> idx2label)
+{
+    return builder.construct_object<AddScoresStageMM>(name, std::move(idx2label));
+}
+
+std::shared_ptr<mrc::segment::Object<AddScoresStageCM>> AddScoresStageInterfaceProxy::init_cm(
     mrc::segment::Builder& builder, const std::string& name, std::map<std::size_t, std::string> idx2label)
 {
-    return builder.construct_object<AddScoresStage>(name, std::move(idx2label));
+    return builder.construct_object<AddScoresStageCM>(name, std::move(idx2label));
 }
 
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/stages/add_scores_stage_base.cpp b/morpheus/_lib/src/stages/add_scores_stage_base.cpp
index 67f5389439..b7ff58ca67 100644
--- a/morpheus/_lib/src/stages/add_scores_stage_base.cpp
+++ b/morpheus/_lib/src/stages/add_scores_stage_base.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,30 +17,29 @@
 
 #include "morpheus/stages/add_scores_stage_base.hpp"
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/sink_properties.hpp"
-#include "mrc/node/source_properties.hpp"
-#include "mrc/types.hpp"
-#include "pymrc/node.hpp"
-#include "rxcpp/operators/rx-map.hpp"
-
-#include "morpheus/objects/dtype.hpp"  // for DType
-#include "morpheus/objects/tensor.hpp"
-#include "morpheus/objects/tensor_object.hpp"  // for TensorObject
-#include "morpheus/types.hpp"                  // for TensorIndex
-#include "morpheus/utilities/matx_util.hpp"
-#include "morpheus/utilities/string_util.hpp"
-#include "morpheus/utilities/tensor_util.hpp"  // for TensorUtils::get_element_stride
-
-#include <glog/logging.h>
-#include <rxcpp/rx.hpp>
-
-#include <cstddef>
-#include <iterator>
-#include <memory>
-#include <ostream>  // needed for logging
-#include <utility>  // for move
+#include "morpheus/messages/memory/tensor_memory.hpp"  // for TensorMemory
+#include "morpheus/messages/meta.hpp"
+#include "morpheus/messages/multi_response.hpp"  // for MultiResponseMessage
+#include "morpheus/objects/dtype.hpp"            // for DType
+#include "morpheus/objects/tensor.hpp"           // for Tensor
+#include "morpheus/objects/tensor_object.hpp"    // for TensorObject
+#include "morpheus/types.hpp"                    // for TensorIndex
+#include "morpheus/utilities/matx_util.hpp"      // for MatxUtil
+#include "morpheus/utilities/string_util.hpp"    // for StringUtil
+#include "morpheus/utilities/tensor_util.hpp"    // for TensorUtils
+
+#include <glog/logging.h>  // for CHECK, COMPACT_GOOGLE_LOG_FATAL, LogMessageFatal, COMP...
+#include <rxcpp/rx.hpp>    // for observable_member, trace_activity, decay_t, operator|
+
+#include <cstddef>      // for size_t
+#include <iterator>     // for reverse_iterator
+#include <memory>       // for shared_ptr, allocator, __shared_ptr_access
+#include <ostream>      // for basic_ostream, operator<<, basic_ostream::operator<<
+#include <stdexcept>    // for runtime_error
+#include <type_traits>  // for is_same_v
+#include <typeinfo>     // for type_info
+#include <utility>      // for move, pair
+#include <vector>       // for vector
 // IWYU thinks we need __alloc_traits<>::value_type for vector assignments
 // IWYU pragma: no_include <ext/alloc_traits.h>
 // IWYU pragma: no_include <operators/rx-map.hpp>
@@ -49,18 +48,46 @@ namespace morpheus {
 
 // Component public implementations
 // ************ AddClassificationStage **************************** //
-AddScoresStageBase::AddScoresStageBase(std::map<std::size_t, std::string> idx2label, std::optional<float> threshold) :
-  PythonNode(),
+template <typename InputT, typename OutputT>
+AddScoresStageBase<InputT, OutputT>::AddScoresStageBase(std::map<std::size_t, std::string> idx2label,
+                                                        std::optional<float> threshold) :
+  base_t(),
   m_idx2label(std::move(idx2label)),
   m_threshold(threshold),
   m_min_col_count(m_idx2label.rbegin()->first)  // Ordered map's largest key will be the last entry
 {
-    this->pipe(rxcpp::operators::map([this](sink_type_t x) { return this->on_data(std::move(x)); }));
+    this->pipe(rxcpp::operators::map([this](sink_type_t x) {
+        return this->on_data(std::move(x));
+    }));
 }
 
-AddScoresStageBase::source_type_t AddScoresStageBase::on_data(sink_type_t x)
+template <typename InputT, typename OutputT>
+AddScoresStageBase<InputT, OutputT>::source_type_t AddScoresStageBase<InputT, OutputT>::on_data(sink_type_t x)
 {
-    auto probs        = x->get_probs_tensor();
+    if constexpr (std::is_same_v<sink_type_t, std::shared_ptr<MultiResponseMessage>>)
+    {
+        this->on_multi_response_message(x);
+    }
+    else if constexpr (std::is_same_v<sink_type_t, std::shared_ptr<ControlMessage>>)
+    {
+        this->on_control_message(x);
+    }
+    // sink_type_t not supported
+    else
+    {
+        std::string error_msg{"AddScoresStageBase receives unsupported input type: " + std::string(typeid(x).name())};
+        LOG(ERROR) << error_msg;
+        throw std::runtime_error(error_msg);
+    }
+    return x;
+}
+
+template <>
+void AddScoresStageBase<MultiResponseMessage, MultiResponseMessage>::on_multi_response_message(
+    std::shared_ptr<MultiResponseMessage> x)
+{
+    auto probs = x->get_probs_tensor();
+
     const auto& shape = probs.get_shape();
 
     // Depending on the input the stride is given in bytes or elements, convert to elements
@@ -104,8 +131,59 @@ AddScoresStageBase::source_type_t AddScoresStageBase::on_data(sink_type_t x)
     }
 
     x->set_meta(columns, tensors);
+}
 
-    return x;
+template <>
+void AddScoresStageBase<ControlMessage, ControlMessage>::on_control_message(std::shared_ptr<ControlMessage> x)
+{
+    // The default of probs_tensor_name is "probs"
+    auto probs        = x->tensors()->get_tensor("probs");
+    const auto& shape = probs.get_shape();
+
+    // Depending on the input the stride is given in bytes or elements, convert to elements
+    auto stride = TensorUtils::get_element_stride(probs.get_stride());
+
+    CHECK(shape.size() == 2 && shape[1] > m_min_col_count)
+        << "Model output did not contain enough columns to fufill the requested labels. Label "
+           "indexes: "
+        << StringUtil::map_to_str(m_idx2label.begin(), m_idx2label.end()) << ", Model output columns: " << shape[1];
+
+    const auto num_rows    = shape[0];
+    const auto num_columns = shape[1];
+
+    TensorObject output_tensor;
+
+    if (m_threshold.has_value())
+    {
+        auto thresh_bool_buffer = MatxUtil::threshold(
+            {probs.data(), probs.dtype(), probs.get_memory(), probs.get_shape(), probs.get_stride()},
+            *m_threshold,
+            false);
+
+        output_tensor.swap(Tensor::create(thresh_bool_buffer, DType::create<bool>(), shape, stride));
+    }
+    else
+    {
+        output_tensor.swap(std::move(probs));
+    }
+
+    std::vector<std::string> columns;
+    std::vector<TensorObject> tensors;
+
+    std::size_t i = 0;
+    for (const auto& [column_num, column_name] : m_idx2label)
+    {
+        columns.push_back(column_name);
+        tensors.emplace_back(output_tensor.slice({0, static_cast<TensorIndex>(column_num)},
+                                                 {num_rows, static_cast<TensorIndex>(column_num + 1)}));
+
+        ++i;
+    }
+
+    x->payload()->set_data(columns, tensors);
 }
 
+template class AddScoresStageBase<MultiResponseMessage, MultiResponseMessage>;
+template class AddScoresStageBase<ControlMessage, ControlMessage>;
+
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/stages/deserialize.cpp b/morpheus/_lib/src/stages/deserialize.cpp
index ce88068c00..c5356251e0 100644
--- a/morpheus/_lib/src/stages/deserialize.cpp
+++ b/morpheus/_lib/src/stages/deserialize.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,91 +17,69 @@
 
 #include "morpheus/stages/deserialize.hpp"
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/sink_properties.hpp"
-#include "mrc/node/source_properties.hpp"
-#include "mrc/segment/object.hpp"
-#include "mrc/types.hpp"
-
+#include "morpheus/messages/control.hpp"
 #include "morpheus/types.hpp"
-#include "morpheus/utilities/python_util.hpp"
-#include "morpheus/utilities/string_util.hpp"
-
-#include <glog/logging.h>
-#include <mrc/segment/builder.hpp>
-#include <pyerrors.h>
-#include <pymrc/node.hpp>
-#include <rxcpp/rx.hpp>
 
-#include <algorithm>  // for min
-#include <exception>
-#include <functional>
-#include <memory>
-#include <optional>
-#include <sstream>
-#include <utility>
+#include <pybind11/pybind11.h>
+#include <pymrc/utils.hpp>  // for cast_from_pyobject
+// IWYU pragma: no_include "rxcpp/sources/rx-iterate.hpp"
 
 namespace morpheus {
-// Component public implementations
-// ************ DeserializationStage **************************** //
-DeserializeStage::DeserializeStage(TensorIndex batch_size, bool ensure_sliceable_index) :
-  PythonNode(base_t::op_factory_from_sub_fn(build_operator())),
-  m_batch_size(batch_size),
-  m_ensure_sliceable_index(ensure_sliceable_index)
-{}
 
-DeserializeStage::subscribe_fn_t DeserializeStage::build_operator()
+void make_output_message(std::shared_ptr<MessageMeta>& incoming_message,
+                         TensorIndex start,
+                         TensorIndex stop,
+                         cm_task_t* task,
+                         std::shared_ptr<MultiMessage>& windowed_message)
 {
-    return [this](rxcpp::observable<sink_type_t> input, rxcpp::subscriber<source_type_t> output) {
-        return input.subscribe(rxcpp::make_observer<sink_type_t>(
-            [this, &output](sink_type_t x) {
-                if (!x->has_sliceable_index())
-                {
-                    if (m_ensure_sliceable_index)
-                    {
-                        auto old_index_name = x->ensure_sliceable_index();
-
-                        if (old_index_name.has_value())
-                        {
-                            // Generate a warning
-                            LOG(WARNING) << MORPHEUS_CONCAT_STR(
-                                "Incoming MessageMeta does not have a unique and monotonic index. Updating index "
-                                "to be unique. Existing index will be retained in column '"
-                                << *old_index_name << "'");
-                        }
-                    }
-                    else
-                    {
-                        utilities::show_warning_message(
-                            "Detected a non-sliceable index on an incoming MessageMeta. Performance when taking slices "
-                            "of messages may be degraded. Consider setting `ensure_sliceable_index==True`",
-                            PyExc_RuntimeWarning);
-                    }
-                }
-
-                // Make one large MultiMessage
-                auto full_message = std::make_shared<MultiMessage>(x, 0, x->count());
+    DCHECK_EQ(task, nullptr) << "Task is not supported for MultiMessage";
+    auto sliced_msg = std::make_shared<MultiMessage>(incoming_message, start, stop - start);
+    windowed_message.swap(sliced_msg);
+}
 
-                // Loop over the MessageMeta and create sub-batches
-                for (TensorIndex i = 0; i < x->count(); i += this->m_batch_size)
-                {
-                    auto next = full_message->get_slice(i, std::min(i + this->m_batch_size, x->count()));
+void make_output_message(std::shared_ptr<MessageMeta>& incoming_message,
+                         TensorIndex start,
+                         TensorIndex stop,
+                         cm_task_t* task,
+                         std::shared_ptr<ControlMessage>& windowed_message)
+{
+    auto slidced_meta = std::make_shared<SlicedMessageMeta>(incoming_message, start, stop);
+    auto message      = std::make_shared<ControlMessage>();
+    message->payload(slidced_meta);
+    if (task)
+    {
+        message->add_task(task->first, task->second);
+    }
 
-                    output.on_next(std::move(next));
-                }
-            },
-            [&](std::exception_ptr error_ptr) { output.on_error(error_ptr); },
-            [&]() { output.on_completed(); }));
-    };
+    windowed_message.swap(message);
 }
 
-// ************ DeserializationStageInterfaceProxy ************* //
-std::shared_ptr<mrc::segment::Object<DeserializeStage>> DeserializeStageInterfaceProxy::init(
+std::shared_ptr<mrc::segment::Object<DeserializeStage<MultiMessage>>> DeserializeStageInterfaceProxy::init_multi(
     mrc::segment::Builder& builder, const std::string& name, TensorIndex batch_size, bool ensure_sliceable_index)
 {
-    auto stage = builder.construct_object<DeserializeStage>(name, batch_size, ensure_sliceable_index);
+    return builder.construct_object<DeserializeStage<MultiMessage>>(name, batch_size, ensure_sliceable_index, nullptr);
+}
+
+std::shared_ptr<mrc::segment::Object<DeserializeStage<ControlMessage>>> DeserializeStageInterfaceProxy::init_cm(
+    mrc::segment::Builder& builder,
+    const std::string& name,
+    TensorIndex batch_size,
+    bool ensure_sliceable_index,
+    const pybind11::object& task_type,
+    const pybind11::object& task_payload)
+{
+    std::unique_ptr<cm_task_t> task{nullptr};
+
+    if (!task_type.is_none() && !task_payload.is_none())
+    {
+        task = std::make_unique<cm_task_t>(pybind11::cast<std::string>(task_type),
+                                           mrc::pymrc::cast_from_pyobject(task_payload));
+    }
+
+    auto stage = builder.construct_object<DeserializeStage<ControlMessage>>(
+        name, batch_size, ensure_sliceable_index, std::move(task));
 
     return stage;
 }
+
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/stages/file_source.cpp b/morpheus/_lib/src/stages/file_source.cpp
index 0bb9870fea..84a59f5f12 100644
--- a/morpheus/_lib/src/stages/file_source.cpp
+++ b/morpheus/_lib/src/stages/file_source.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,11 +17,7 @@
 
 #include "morpheus/stages/file_source.hpp"
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/source_properties.hpp"
 #include "mrc/segment/object.hpp"
-#include "mrc/types.hpp"
 #include "pymrc/node.hpp"
 
 #include "morpheus/io/deserializers.hpp"
@@ -32,12 +28,12 @@
 #include <cudf/types.hpp>
 #include <glog/logging.h>
 #include <mrc/segment/builder.hpp>
-#include <pybind11/cast.h>
+#include <pybind11/cast.h>  // IWYU pragma: keep
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>  // for str_attr_accessor
 #include <pybind11/pytypes.h>   // for pybind11::int_
 
-#include <functional>
+#include <filesystem>
 #include <memory>
 #include <optional>
 #include <sstream>
@@ -133,4 +129,14 @@ std::shared_ptr<mrc::segment::Object<FileSourceStage>> FileSourceStageInterfaceP
 
     return stage;
 }
+
+std::shared_ptr<mrc::segment::Object<FileSourceStage>> FileSourceStageInterfaceProxy::init(
+    mrc::segment::Builder& builder,
+    const std::string& name,
+    std::filesystem::path filename,
+    int repeat,
+    pybind11::dict parser_kwargs)
+{
+    return init(builder, name, filename.string(), repeat, std::move(parser_kwargs));
+}
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/stages/filter_detection.cpp b/morpheus/_lib/src/stages/filter_detection.cpp
index 9be104c88f..199d716e5b 100644
--- a/morpheus/_lib/src/stages/filter_detection.cpp
+++ b/morpheus/_lib/src/stages/filter_detection.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,13 +17,8 @@
 
 #include "morpheus/stages/filter_detection.hpp"  // IWYU pragma: accosiated
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/sink_properties.hpp"
-#include "mrc/node/source_properties.hpp"
 #include "mrc/segment/builder.hpp"
 #include "mrc/segment/object.hpp"
-#include "mrc/types.hpp"
 #include "pymrc/node.hpp"
 
 #include "morpheus/messages/multi_tensor.hpp"
@@ -39,9 +34,11 @@
 #include <cuda_runtime.h>  // for cudaMemcpy, cudaMemcpyDeviceToDevice, cudaMemcpyDeviceToHost
 #include <cudf/column/column_view.hpp>
 #include <cudf/types.hpp>
-#include <glog/logging.h>         // for CHECK, CHECK_NE
-#include <mrc/cuda/common.hpp>    // for MRC_CHECK_CUDA
+#include <glog/logging.h>       // for CHECK, CHECK_NE
+#include <mrc/cuda/common.hpp>  // for MRC_CHECK_CUDA
+#include <rmm/cuda_stream_view.hpp>
 #include <rmm/device_buffer.hpp>  // for device_buffer
+#include <rmm/mr/device/per_device_resource.hpp>
 
 #include <cstddef>
 #include <cstdint>  // for uint8_t
@@ -51,6 +48,7 @@
 #include <ostream>  // needed for glog
 #include <string>
 #include <utility>  // for pair
+#include <vector>
 // IWYU thinks we need ext/new_allocator.h for size_t for some reason
 // IWYU pragma: no_include <ext/new_allocator.h>
 
@@ -98,7 +96,7 @@ DevMemInfo FilterDetectionsStage::get_column_filter_source(const std::shared_ptr
     return {
         data,
         std::move(dtype),
-        std::make_shared<MemoryDescriptor>(),
+        std::make_shared<MemoryDescriptor>(rmm::cuda_stream_per_thread, rmm::mr::get_current_device_resource()),
         {num_rows, 1},
         {1, 0},
     };
@@ -111,11 +109,15 @@ FilterDetectionsStage::subscribe_fn_t FilterDetectionsStage::build_operator()
 
         if (m_filter_source == FilterSource::TENSOR)
         {
-            get_filter_source = [this](auto x) { return get_tensor_filter_source(x); };
+            get_filter_source = [this](auto x) {
+                return get_tensor_filter_source(x);
+            };
         }
         else
         {
-            get_filter_source = [this](auto x) { return get_column_filter_source(x); };
+            get_filter_source = [this](auto x) {
+                return get_column_filter_source(x);
+            };
         }
 
         return input.subscribe(rxcpp::make_observer<sink_type_t>(
@@ -190,8 +192,12 @@ FilterDetectionsStage::subscribe_fn_t FilterDetectionsStage::build_operator()
                     output.on_next(x->copy_ranges(selected_ranges, num_selected_rows));
                 }
             },
-            [&](std::exception_ptr error_ptr) { output.on_error(error_ptr); },
-            [&]() { output.on_completed(); }));
+            [&](std::exception_ptr error_ptr) {
+                output.on_error(error_ptr);
+            },
+            [&]() {
+                output.on_completed();
+            }));
     };
 }
 
diff --git a/morpheus/_lib/src/stages/http_server_source_stage.cpp b/morpheus/_lib/src/stages/http_server_source_stage.cpp
index b555251369..65cc0968f8 100644
--- a/morpheus/_lib/src/stages/http_server_source_stage.cpp
+++ b/morpheus/_lib/src/stages/http_server_source_stage.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,13 +22,12 @@
 #include <cudf/io/json.hpp>                   // for json_reader_options & read_json
 #include <glog/logging.h>                     // for CHECK & LOG
 
-#include <exception>   // for std::exception
-#include <functional>  // for function
-#include <sstream>     // needed by GLOG
-#include <stdexcept>   // for std::runtime_error
-#include <thread>      // for std::this_thread::sleep_for
-#include <tuple>       // for make_tuple
-#include <utility>     // for std::move
+#include <exception>  // for std::exception
+#include <sstream>    // needed by GLOG
+#include <stdexcept>  // for std::runtime_error
+#include <thread>     // for std::this_thread::sleep_for
+#include <tuple>      // for make_tuple
+#include <utility>    // for std::move
 // IWYU thinks we need more boost headers than we need as int_to_status is defined in status.hpp
 // IWYU pragma: no_include <boost/beast/http.hpp>
 
diff --git a/morpheus/_lib/src/stages/inference_client_stage.cpp b/morpheus/_lib/src/stages/inference_client_stage.cpp
new file mode 100644
index 0000000000..069ccd557e
--- /dev/null
+++ b/morpheus/_lib/src/stages/inference_client_stage.cpp
@@ -0,0 +1,293 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "morpheus/stages/inference_client_stage.hpp"
+
+#include "morpheus/messages/memory/response_memory.hpp"
+#include "morpheus/messages/memory/tensor_memory.hpp"
+#include "morpheus/objects/dev_mem_info.hpp"
+#include "morpheus/objects/dtype.hpp"
+#include "morpheus/objects/tensor.hpp"
+#include "morpheus/objects/tensor_object.hpp"
+#include "morpheus/stages/triton_inference.hpp"
+#include "morpheus/utilities/matx_util.hpp"
+
+#include <boost/fiber/policy.hpp>
+#include <cuda_runtime.h>
+#include <glog/logging.h>
+#include <mrc/cuda/common.hpp>
+
+#include <chrono>
+#include <compare>
+#include <coroutine>
+#include <mutex>
+#include <ostream>
+#include <ratio>
+#include <utility>
+
+namespace {
+
+static morpheus::ShapeType get_seq_ids(const morpheus::InferenceClientStage::sink_type_t& message)
+{
+    // Take a copy of the sequence Ids allowing us to map rows in the response to rows in the dataframe
+    // The output tensors we store in `reponse_memory` will all be of the same length as the the
+    // dataframe. seq_ids has three columns, but we are only interested in the first column.
+    auto seq_ids         = message->get_input("seq_ids");
+    const auto item_size = seq_ids.dtype().item_size();
+
+    morpheus::ShapeType host_seq_ids(message->count);
+    MRC_CHECK_CUDA(cudaMemcpy2D(host_seq_ids.data(),
+                                item_size,
+                                seq_ids.data(),
+                                seq_ids.stride(0) * item_size,
+                                item_size,
+                                host_seq_ids.size(),
+                                cudaMemcpyDeviceToHost));
+
+    return host_seq_ids;
+}
+
+static void reduce_outputs(const morpheus::InferenceClientStage::sink_type_t& x, morpheus::TensorMap& output_tensors)
+{
+    // When our tensor lengths are longer than our dataframe we will need to use the seq_ids array to
+    // lookup how the values should map back into the dataframe.
+    auto host_seq_ids = get_seq_ids(x);
+
+    for (auto& mapping : output_tensors)
+    {
+        auto& output_tensor = mapping.second;
+
+        morpheus::ShapeType shape  = output_tensor.get_shape();
+        morpheus::ShapeType stride = output_tensor.get_stride();
+
+        morpheus::ShapeType reduced_shape{shape};
+        reduced_shape[0] = x->mess_count;
+
+        auto reduced_buffer = morpheus::MatxUtil::reduce_max(
+            morpheus::DevMemInfo{
+                output_tensor.data(), output_tensor.dtype(), output_tensor.get_memory(), shape, stride},
+            host_seq_ids,
+            0,
+            reduced_shape);
+
+        output_tensor.swap(
+            morpheus::Tensor::create(std::move(reduced_buffer), output_tensor.dtype(), reduced_shape, stride, 0));
+    }
+}
+
+static void apply_logits(morpheus::TensorMap& output_tensors)
+{
+    for (auto& mapping : output_tensors)
+    {
+        auto& output_tensor = mapping.second;
+
+        auto shape  = output_tensor.get_shape();
+        auto stride = output_tensor.get_stride();
+
+        auto output_buffer = morpheus::MatxUtil::logits(morpheus::DevMemInfo{
+            output_tensor.data(), output_tensor.dtype(), output_tensor.get_memory(), shape, stride});
+
+        // For logits the input and output shapes will be the same
+        output_tensor.swap(morpheus::Tensor::create(std::move(output_buffer), output_tensor.dtype(), shape, stride, 0));
+    }
+}
+
+}  // namespace
+
+namespace morpheus {
+
+InferenceClientStage::InferenceClientStage(std::unique_ptr<IInferenceClient>&& client,
+                                           std::string model_name,
+                                           bool needs_logits,
+                                           std::vector<TensorModelMapping> input_mapping,
+                                           std::vector<TensorModelMapping> output_mapping) :
+  m_model_name(std::move(model_name)),
+  m_client(std::move(client)),
+  m_needs_logits(needs_logits),
+  m_input_mapping(std::move(input_mapping)),
+  m_output_mapping(std::move(output_mapping))
+{}
+
+struct ExponentialBackoff
+{
+    std::shared_ptr<mrc::coroutines::Scheduler> m_on;
+    std::chrono::milliseconds m_delay;
+    std::chrono::milliseconds m_delay_max;
+
+    ExponentialBackoff(std::shared_ptr<mrc::coroutines::Scheduler> on,
+                       std::chrono::milliseconds delay_initial,
+                       std::chrono::milliseconds delay_max) :
+      m_on(std::move(on)),
+      m_delay(delay_initial),
+      m_delay_max(delay_max)
+    {}
+
+    mrc::coroutines::Task<> yield()
+    {
+        if (m_delay > m_delay_max)
+        {
+            m_delay = m_delay_max;
+        }
+
+        co_await m_on->yield_for(m_delay);
+
+        m_delay *= 2;
+    }
+};
+
+mrc::coroutines::AsyncGenerator<std::shared_ptr<MultiResponseMessage>> InferenceClientStage::on_data(
+    std::shared_ptr<MultiInferenceMessage>&& x, std::shared_ptr<mrc::coroutines::Scheduler> on)
+{
+    int32_t retry_count = 0;
+
+    using namespace std::chrono_literals;
+
+    auto backoff = ExponentialBackoff(on, 100ms, 4000ms);
+
+    while (true)
+    {
+        auto message_session = m_session;
+
+        try
+        {
+            // Using the `count` which is the number of rows in the inference tensors. We will check later if this
+            // doesn't match the number of rows in the dataframe (`mess_count`). This happens when the size of the
+            // input is too large and needs to be broken up in chunks in the pre-process stage. When this is the
+            // case we will reduce the rows in the response outputs such that we have a single response for each
+            // row int he dataframe.
+            // TensorMap output_tensors;
+            // buffer_map_t output_buffers;
+
+            if (message_session == nullptr)
+            {
+                auto lock = std::unique_lock(m_session_mutex);
+
+                if (m_session == nullptr)
+                {
+                    m_session = m_client->create_session();
+                }
+
+                message_session = m_session;
+            }
+
+            // We want to prevent entering this section of code if the session is being reset, but we also want this
+            // section of code to be entered simultanously by multiple coroutines. To accomplish this, we use a shared
+            // lock instead of a unique lock.
+
+            TensorMap model_input_tensors;
+
+            for (auto mapping : message_session->get_input_mappings(m_input_mapping))
+            {
+                if (x->memory->has_tensor(mapping.tensor_field_name))
+                {
+                    model_input_tensors[mapping.model_field_name].swap(x->get_input(mapping.tensor_field_name));
+                }
+            }
+
+            auto model_output_tensors = co_await message_session->infer(std::move(model_input_tensors));
+
+            co_await on->yield();
+
+            if (x->mess_count != x->count)
+            {
+                reduce_outputs(x, model_output_tensors);
+            }
+
+            // If we need to do logits, do that here
+            if (m_needs_logits)
+            {
+                apply_logits(model_output_tensors);
+            }
+
+            TensorMap output_tensor_map;
+
+            for (auto mapping : message_session->get_output_mappings(m_output_mapping))
+            {
+                auto pos = model_output_tensors.find(mapping.model_field_name);
+
+                if (pos != model_output_tensors.end())
+                {
+                    output_tensor_map[mapping.tensor_field_name].swap(
+                        std::move(model_output_tensors[mapping.model_field_name]));
+
+                    model_output_tensors.erase(pos);
+                }
+            }
+
+            // Final output of all mini-batches
+            auto response_mem = std::make_shared<ResponseMemory>(x->mess_count, std::move(output_tensor_map));
+
+            auto response = std::make_shared<MultiResponseMessage>(
+                x->meta, x->mess_offset, x->mess_count, std::move(response_mem), 0, response_mem->count);
+
+            co_yield std::move(response);
+
+            co_return;
+
+        } catch (...)
+        {
+            auto lock = std::unique_lock(m_session_mutex);
+
+            if (m_session == message_session)
+            {
+                m_session.reset();
+            }
+
+            if (m_retry_max >= 0 and ++retry_count > m_retry_max)
+            {
+                throw;
+            }
+
+            LOG(WARNING) << "Exception while processing message for InferenceClientStage, attempting retry.";
+        }
+
+        co_await backoff.yield();
+    }
+}
+
+// ************ InferenceClientStageInterfaceProxy********* //
+std::shared_ptr<mrc::segment::Object<InferenceClientStage>> InferenceClientStageInterfaceProxy::init(
+    mrc::segment::Builder& builder,
+    const std::string& name,
+    std::string server_url,
+    std::string model_name,
+    bool needs_logits,
+    std::map<std::string, std::string> input_mappings,
+    std::map<std::string, std::string> output_mappings)
+{
+    std::vector<TensorModelMapping> input_mappings_{};
+    std::vector<TensorModelMapping> output_mappings_{};
+
+    for (auto& mapping : input_mappings)
+    {
+        input_mappings_.emplace_back(TensorModelMapping{mapping.first, mapping.second});
+    }
+
+    for (auto& mapping : output_mappings)
+    {
+        output_mappings_.emplace_back(TensorModelMapping{mapping.first, mapping.second});
+    }
+
+    auto triton_client           = std::make_unique<HttpTritonClient>(server_url);
+    auto triton_inference_client = std::make_unique<TritonInferenceClient>(std::move(triton_client), model_name);
+    auto stage                   = builder.construct_object<InferenceClientStage>(
+        name, std::move(triton_inference_client), model_name, needs_logits, input_mappings_, output_mappings_);
+
+    return stage;
+}
+
+}  // namespace morpheus
diff --git a/morpheus/_lib/src/stages/kafka_source.cpp b/morpheus/_lib/src/stages/kafka_source.cpp
index 7d97396447..1bb6ea369d 100644
--- a/morpheus/_lib/src/stages/kafka_source.cpp
+++ b/morpheus/_lib/src/stages/kafka_source.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,9 +17,6 @@
 
 #include "morpheus/stages/kafka_source.hpp"
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/source_properties.hpp"
 #include "mrc/segment/object.hpp"
 #include "pymrc/utilities/function_wrappers.hpp"  // for PyFuncWrapper
 
@@ -36,7 +33,7 @@
 #include <mrc/segment/builder.hpp>
 #include <mrc/types.hpp>  // for SharedFuture
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
+#include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
 #include <pymrc/node.hpp>
 
@@ -46,8 +43,7 @@
 #include <cstdint>
 #include <exception>
 #include <functional>
-#include <initializer_list>  // for initializer_list
-#include <iterator>          // for back_insert_iterator, back_inserter
+#include <iterator>  // for back_insert_iterator, back_inserter
 #include <list>
 #include <memory>
 #include <mutex>
@@ -210,8 +206,12 @@ void KafkaSourceStage__Rebalancer::rebalance_cb(RdKafka::KafkaConsumer* consumer
     std::vector<RdKafka::TopicPartition*> current_assignment;
     CHECK_KAFKA(consumer->assignment(current_assignment), RdKafka::ERR_NO_ERROR, "Error retrieving current assignment");
 
-    auto old_partition_ids = foreach_map(current_assignment, [](const auto& x) { return x->partition(); });
-    auto new_partition_ids = foreach_map(partitions, [](const auto& x) { return x->partition(); });
+    auto old_partition_ids = foreach_map(current_assignment, [](const auto& x) {
+        return x->partition();
+    });
+    auto new_partition_ids = foreach_map(partitions, [](const auto& x) {
+        return x->partition();
+    });
 
     if (err == RdKafka::ERR__ASSIGN_PARTITIONS)
     {
@@ -334,8 +334,12 @@ KafkaSourceStage::subscriber_fn_t KafkaSourceStage::build()
         std::size_t records_emitted = 0;
         // Build rebalancer
         KafkaSourceStage__Rebalancer rebalancer(
-            [this]() { return this->batch_timeout_ms(); },
-            [this]() { return this->max_batch_size(); },
+            [this]() {
+                return this->batch_timeout_ms();
+            },
+            [this]() {
+                return this->max_batch_size();
+            },
             [this](const std::string str_to_display) {
                 auto& ctx = mrc::runnable::Context::get_runtime_context();
                 return MORPHEUS_CONCAT_STR(ctx.info() << " " << str_to_display);
@@ -552,8 +556,9 @@ std::unique_ptr<RdKafka::KafkaConsumer> KafkaSourceStage::create_consumer(RdKafk
 
         auto const& parts = *(topic->partitions());
 
-        std::transform(
-            parts.cbegin(), parts.cend(), std::back_inserter(part_ids), [](auto const& part) { return part->id(); });
+        std::transform(parts.cbegin(), parts.cend(), std::back_inserter(part_ids), [](auto const& part) {
+            return part->id();
+        });
 
         auto toppar_list = foreach_map(parts, [&topic](const auto& part) {
             return std::unique_ptr<RdKafka::TopicPartition>{
@@ -561,20 +566,24 @@ std::unique_ptr<RdKafka::KafkaConsumer> KafkaSourceStage::create_consumer(RdKafk
         });
 
         std::vector<RdKafka::TopicPartition*> toppar_ptrs =
-            foreach_map(toppar_list, [](const std::unique_ptr<RdKafka::TopicPartition>& x) { return x.get(); });
+            foreach_map(toppar_list, [](const std::unique_ptr<RdKafka::TopicPartition>& x) {
+                return x.get();
+            });
 
         // Query Kafka to populate the TopicPartitions with the desired offsets
         CHECK_KAFKA(
             consumer->committed(toppar_ptrs, 2000), RdKafka::ERR_NO_ERROR, "Failed retrieve Kafka committed offsets");
 
-        auto committed =
-            foreach_map(toppar_list, [](const std::unique_ptr<RdKafka::TopicPartition>& x) { return x->offset(); });
+        auto committed = foreach_map(toppar_list, [](const std::unique_ptr<RdKafka::TopicPartition>& x) {
+            return x->offset();
+        });
 
         // Query Kafka to populate the TopicPartitions with the desired offsets
         CHECK_KAFKA(consumer->position(toppar_ptrs), RdKafka::ERR_NO_ERROR, "Failed retrieve Kafka positions");
 
-        auto positions =
-            foreach_map(toppar_list, [](const std::unique_ptr<RdKafka::TopicPartition>& x) { return x->offset(); });
+        auto positions = foreach_map(toppar_list, [](const std::unique_ptr<RdKafka::TopicPartition>& x) {
+            return x->offset();
+        });
 
         auto watermarks = foreach_map(toppar_list, [&consumer](const std::unique_ptr<RdKafka::TopicPartition>& x) {
             int64_t low;
diff --git a/morpheus/_lib/src/stages/preprocess_fil.cpp b/morpheus/_lib/src/stages/preprocess_fil.cpp
index 8e3245b6f2..978e7557eb 100644
--- a/morpheus/_lib/src/stages/preprocess_fil.cpp
+++ b/morpheus/_lib/src/stages/preprocess_fil.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,198 +17,297 @@
 
 #include "morpheus/stages/preprocess_fil.hpp"
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/sink_properties.hpp"
-#include "mrc/node/source_properties.hpp"
-#include "mrc/segment/object.hpp"
-#include "mrc/types.hpp"
-
-#include "morpheus/messages/memory/inference_memory_fil.hpp"
-#include "morpheus/messages/meta.hpp"         // for MessageMeta
-#include "morpheus/objects/dev_mem_info.hpp"  // for DevMemInfo
-#include "morpheus/objects/dtype.hpp"
-#include "morpheus/objects/table_info.hpp"  // for TableInfo
-#include "morpheus/objects/tensor.hpp"
-#include "morpheus/objects/tensor_object.hpp"  // for TensorObject
-#include "morpheus/types.hpp"                  // for TensorIndex
-#include "morpheus/utilities/matx_util.hpp"
-
-#include <cuda_runtime.h>               // for cudaMemcpy, cudaMemcpyDeviceToDevice
-#include <cudf/column/column.hpp>       // for column, column::contents
+#include "mrc/segment/object.hpp"  // for Object
+
+#include "morpheus/messages/control.hpp"                      // for ControlMessage
+#include "morpheus/messages/memory/inference_memory_fil.hpp"  // for InferenceMemoryFIL
+#include "morpheus/messages/memory/tensor_memory.hpp"         // for TensorMemory
+#include "morpheus/messages/meta.hpp"                         // for MessageMeta
+#include "morpheus/messages/multi.hpp"                        // for MultiMessage
+#include "morpheus/messages/multi_inference.hpp"              // for MultiInferenceMessage
+#include "morpheus/objects/dev_mem_info.hpp"                  // for DevMemInfo
+#include "morpheus/objects/dtype.hpp"                         // for DType, TypeId
+#include "morpheus/objects/table_info.hpp"                    // for TableInfo, MutableTableInfo
+#include "morpheus/objects/tensor.hpp"                        // for Tensor
+#include "morpheus/objects/tensor_object.hpp"                 // for TensorObject
+#include "morpheus/types.hpp"                                 // for TensorIndex
+#include "morpheus/utilities/matx_util.hpp"                   // for MatxUtil
+
+#include <cuda_runtime.h>               // for cudaMemcpy, cudaMemcpyKind
+#include <cudf/column/column.hpp>       // for column
 #include <cudf/column/column_view.hpp>  // for column_view
-#include <cudf/types.hpp>
-#include <cudf/unary.hpp>
-#include <mrc/cuda/common.hpp>  // for MRC_CHECK_CUDA
-#include <mrc/segment/builder.hpp>
-#include <pybind11/cast.h>  // for object_api::operator(), operator""_a
-#include <pybind11/gil.h>
-#include <pybind11/pybind11.h>  // for str_attr_accessor, arg
-#include <pybind11/pytypes.h>
-#include <pymrc/node.hpp>
-#include <rmm/cuda_stream_view.hpp>  // for cuda_stream_per_thread
-#include <rmm/device_buffer.hpp>     // for device_buffer
-
-#include <array>
-#include <cstddef>
-#include <exception>
-#include <functional>
-#include <memory>
-#include <utility>
+#include <cudf/types.hpp>               // for type_id, data_type
+#include <cudf/unary.hpp>               // for cast
+#include <glog/logging.h>               // for COMPACT_GOOGLE_LOG_ERROR, LOG, LogMessage
+#include <mrc/cuda/common.hpp>          // for __check_cuda_errors, MRC_CHECK_CUDA
+#include <mrc/segment/builder.hpp>      // for Builder
+#include <pybind11/gil.h>               // for gil_scoped_acquire
+#include <pybind11/pybind11.h>          // for object_api::operator(), operator""_a, arg
+#include <pybind11/pytypes.h>           // for object, str, object_api, generic_item, literals
+#include <rmm/cuda_stream_view.hpp>     // for cuda_stream_per_thread
+#include <rmm/device_buffer.hpp>        // for device_buffer
+
+#include <algorithm>    // for find
+#include <cstddef>      // for size_t
+#include <memory>       // for shared_ptr, __shared_ptr_access, allocator, mak...
+#include <stdexcept>    // for runtime_error
+#include <type_traits>  // for is_same_v
+#include <typeinfo>     // for type_info
+#include <utility>      // for move
 
 namespace morpheus {
 // Component public implementations
 // ************ PreprocessFILStage ************************* //
-PreprocessFILStage::PreprocessFILStage(const std::vector<std::string>& features) :
-  PythonNode(base_t::op_factory_from_sub_fn(build_operator())),
+template <typename InputT, typename OutputT>
+PreprocessFILStage<InputT, OutputT>::PreprocessFILStage(const std::vector<std::string>& features) :
+  base_t(rxcpp::operators::map([this](sink_type_t x) {
+      return this->on_data(std::move(x));
+  })),
   m_fea_cols(std::move(features))
 {}
 
-PreprocessFILStage::subscribe_fn_t PreprocessFILStage::build_operator()
+template <typename InputT, typename OutputT>
+void PreprocessFILStage<InputT, OutputT>::transform_bad_columns(std::vector<std::string>& fea_cols,
+                                                                morpheus::MutableTableInfo& mutable_info)
 {
-    return [this](rxcpp::observable<sink_type_t> input, rxcpp::subscriber<source_type_t> output) {
-        return input.subscribe(rxcpp::make_observer<sink_type_t>(
-            [&output, this](sink_type_t x) {
-                // Make sure to
-                auto df_meta = this->fix_bad_columns(x);
-
-                auto packed_data = std::make_shared<rmm::device_buffer>(
-                    m_fea_cols.size() * x->mess_count * sizeof(float), rmm::cuda_stream_per_thread);
-
-                for (size_t i = 0; i < df_meta.num_columns(); ++i)
-                {
-                    auto curr_col = df_meta.get_column(i);
-
-                    auto curr_ptr = static_cast<float*>(packed_data->data()) + i * df_meta.num_rows();
-
-                    // Check if we are something other than float
-                    if (curr_col.type().id() != cudf::type_id::FLOAT32)
-                    {
-                        auto float_data = cudf::cast(curr_col, cudf::data_type(cudf::type_id::FLOAT32))->release();
-
-                        // Do the copy here before it goes out of scope
-                        MRC_CHECK_CUDA(cudaMemcpy(curr_ptr,
-                                                  float_data.data->data(),
-                                                  df_meta.num_rows() * sizeof(float),
-                                                  cudaMemcpyDeviceToDevice));
-                    }
-                    else
-                    {
-                        MRC_CHECK_CUDA(cudaMemcpy(curr_ptr,
-                                                  curr_col.data<float>(),
-                                                  df_meta.num_rows() * sizeof(float),
-                                                  cudaMemcpyDeviceToDevice));
-                    }
-                }
-
-                // Need to convert from row major to column major
-                // Easiest way to do this is to transpose the data from [fea_len, row_count] to [row_count, fea_len]
-                auto transposed_data =
-                    MatxUtil::transpose(DevMemInfo{packed_data,
-                                                   TypeId::FLOAT32,
-                                                   {static_cast<TensorIndex>(m_fea_cols.size()), x->mess_count},
-                                                   {x->mess_count, 1}});
-
-                // Create the tensor which will be row-major and size [row_count, fea_len]
-                auto input__0 = Tensor::create(transposed_data,
-                                               DType::create<float>(),
-                                               {x->mess_count, static_cast<TensorIndex>(m_fea_cols.size())},
-                                               {},
-                                               0);
-
-                auto seq_id_dtype = DType::create<TensorIndex>();
-                auto seq_ids      = Tensor::create(MatxUtil::create_seq_ids(x->mess_count,
-                                                                       m_fea_cols.size(),
-                                                                       seq_id_dtype.type_id(),
-                                                                       input__0.get_memory(),
-                                                                       x->mess_offset),
-                                              seq_id_dtype,
-                                                   {x->mess_count, 3},
-                                                   {},
-                                              0);
-
-                // Build the results
-                auto memory =
-                    std::make_shared<InferenceMemoryFIL>(x->mess_count, std::move(input__0), std::move(seq_ids));
-
-                auto next = std::make_shared<MultiInferenceMessage>(
-                    x->meta, x->mess_offset, x->mess_count, std::move(memory), 0, memory->count);
-
-                output.on_next(std::move(next));
-            },
-            [&](std::exception_ptr error_ptr) {
-                output.on_error(error_ptr);
-            },
-            [&]() {
-                output.on_completed();
-            }));
-    };
+    auto df_meta_col_names = mutable_info.get_column_names();
+    std::vector<std::string> bad_cols;
+    // Only check the feature columns. Leave the rest unchanged
+    for (auto& fea_col : fea_cols)
+    {
+        // Find the index of the column in the dataframe
+        auto col_idx =
+            std::find(df_meta_col_names.begin(), df_meta_col_names.end(), fea_col) - df_meta_col_names.begin();
+
+        if (col_idx == df_meta_col_names.size())
+        {
+            // This feature was not found. Ignore it.
+            continue;
+        }
+
+        if (mutable_info.get_column(col_idx).type().id() == cudf::type_id::STRING)
+        {
+            bad_cols.push_back(fea_col);
+        }
+    }
+
+    // Exit early if there is nothing to do
+    if (!bad_cols.empty())
+    {
+        // Need to ensure all string columns have been converted to numbers. This requires running a
+        // regex which is too difficult to do from C++ at this time. So grab the GIL, make the
+        // conversions, and release. This is horribly inefficient, but so is the JSON lines format for
+        // this workflow
+        using namespace pybind11::literals;
+        pybind11::gil_scoped_acquire gil;
+
+        // pybind11::object df = x->meta->get_py_table();
+        auto pdf = mutable_info.checkout_obj();
+        auto& df = *pdf;
+
+        std::string regex = R"((\d+))";
+
+        for (auto c : bad_cols)
+        {
+            df[pybind11::str(c)] = df[pybind11::str(c)]
+                                       .attr("str")
+                                       .attr("extract")(pybind11::str(regex), "expand"_a = true)
+                                       .attr("astype")(pybind11::str("float32"));
+        }
+
+        mutable_info.return_obj(std::move(pdf));
+    }
 }
 
-TableInfo PreprocessFILStage::fix_bad_columns(sink_type_t x)
+template <typename InputT, typename OutputT>
+TableInfo PreprocessFILStage<InputT, OutputT>::fix_bad_columns(sink_type_t x)
 {
-    std::vector<std::string> bad_cols;
+    if constexpr (std::is_same_v<sink_type_t, std::shared_ptr<MultiMessage>>)
+    {
+        {
+            // Get the mutable info for the entire meta object so we only do this once per dataframe
+            auto mutable_info = x->meta->get_mutable_info();
+            transform_bad_columns(this->m_fea_cols, mutable_info);
+        }
 
+        // Now re-get the meta
+        return x->get_meta(m_fea_cols);
+    }
+    else if constexpr (std::is_same_v<sink_type_t, std::shared_ptr<ControlMessage>>)
     {
-        // Get the mutable info for the entire meta object so we only do this once per dataframe
-        auto mutable_info      = x->meta->get_mutable_info();
-        auto df_meta_col_names = mutable_info.get_column_names();
+        {
+            // Get the mutable info for the entire meta object so we only do this once per dataframe
+            auto mutable_info = x->payload()->get_mutable_info();
+            transform_bad_columns(this->m_fea_cols, mutable_info);
+        }
 
-        // Only check the feature columns. Leave the rest unchanged
-        for (auto& fea_col : m_fea_cols)
+        // Now re-get the meta
+        return x->payload()->get_info(m_fea_cols);
+    }
+    // sink_type_t not supported
+    else
+    {
+        std::string error_msg{"PreProcessFILStage receives unsupported input type: " + std::string(typeid(x).name())};
+        LOG(ERROR) << error_msg;
+        throw std::runtime_error(error_msg);
+    }
+}
+
+template <typename InputT, typename OutputT>
+PreprocessFILStage<InputT, OutputT>::source_type_t PreprocessFILStage<InputT, OutputT>::on_data(sink_type_t x)
+{
+    if constexpr (std::is_same_v<sink_type_t, std::shared_ptr<MultiMessage>>)
+    {
+        return on_multi_message(x);
+    }
+    else if constexpr (std::is_same_v<sink_type_t, std::shared_ptr<ControlMessage>>)
+    {
+        return on_control_message(x);
+    }
+    // sink_type_t not supported
+    else
+    {
+        std::string error_msg{"PreProcessFILStage receives unsupported input type: " + std::string(typeid(x).name())};
+        LOG(ERROR) << error_msg;
+        throw std::runtime_error(error_msg);
+    }
+}
+
+template <>
+std::shared_ptr<MultiInferenceMessage> PreprocessFILStage<MultiMessage, MultiInferenceMessage>::on_multi_message(
+    std::shared_ptr<MultiMessage> x)
+{
+    auto packed_data = std::make_shared<rmm::device_buffer>(m_fea_cols.size() * x->mess_count * sizeof(float),
+                                                            rmm::cuda_stream_per_thread);
+    auto df_meta     = this->fix_bad_columns(x);
+    for (size_t i = 0; i < df_meta.num_columns(); ++i)
+    {
+        auto curr_col = df_meta.get_column(i);
+
+        auto curr_ptr = static_cast<float*>(packed_data->data()) + i * df_meta.num_rows();
+
+        // Check if we are something other than float
+        if (curr_col.type().id() != cudf::type_id::FLOAT32)
         {
-            // Find the index of the column in the dataframe
-            auto col_idx =
-                std::find(df_meta_col_names.begin(), df_meta_col_names.end(), fea_col) - df_meta_col_names.begin();
-
-            if (col_idx == df_meta_col_names.size())
-            {
-                // This feature was not found. Ignore it.
-                continue;
-            }
-
-            if (mutable_info.get_column(col_idx).type().id() == cudf::type_id::STRING)
-            {
-                bad_cols.push_back(fea_col);
-            }
+            auto float_data = cudf::cast(curr_col, cudf::data_type(cudf::type_id::FLOAT32))->release();
+
+            // Do the copy here before it goes out of scope
+            MRC_CHECK_CUDA(cudaMemcpy(
+                curr_ptr, float_data.data->data(), df_meta.num_rows() * sizeof(float), cudaMemcpyDeviceToDevice));
         }
+        else
+        {
+            MRC_CHECK_CUDA(cudaMemcpy(curr_ptr,
+                                      curr_col.template data<float>(),
+                                      df_meta.num_rows() * sizeof(float),
+                                      cudaMemcpyDeviceToDevice));
+        }
+    }
+
+    // Need to convert from row major to column major
+    // Easiest way to do this is to transpose the data from [fea_len, row_count] to [row_count, fea_len]
+    auto transposed_data = MatxUtil::transpose(DevMemInfo{packed_data,
+                                                          TypeId::FLOAT32,
+                                                          {static_cast<TensorIndex>(m_fea_cols.size()), x->mess_count},
+                                                          {x->mess_count, 1}});
+
+    // Create the tensor which will be row-major and size [row_count, fea_len]
+    auto input__0 = Tensor::create(
+        transposed_data, DType::create<float>(), {x->mess_count, static_cast<TensorIndex>(m_fea_cols.size())}, {}, 0);
+
+    auto seq_id_dtype = DType::create<TensorIndex>();
+    auto seq_ids      = Tensor::create(
+        MatxUtil::create_seq_ids(
+            x->mess_count, m_fea_cols.size(), seq_id_dtype.type_id(), input__0.get_memory(), x->mess_offset),
+        seq_id_dtype,
+        {x->mess_count, 3},
+        {},
+        0);
+
+    // Build the results
+    auto memory = std::make_shared<InferenceMemoryFIL>(x->mess_count, std::move(input__0), std::move(seq_ids));
+
+    auto next = std::make_shared<MultiInferenceMessage>(
+        x->meta, x->mess_offset, x->mess_count, std::move(memory), 0, memory->count);
+
+    return next;
+}
 
-        // Exit early if there is nothing to do
-        if (!bad_cols.empty())
+template <>
+std::shared_ptr<ControlMessage> PreprocessFILStage<ControlMessage, ControlMessage>::on_control_message(
+    std::shared_ptr<ControlMessage> x)
+{
+    auto num_rows = x->payload()->get_info().num_rows();
+    auto packed_data =
+        std::make_shared<rmm::device_buffer>(m_fea_cols.size() * num_rows * sizeof(float), rmm::cuda_stream_per_thread);
+    auto df_meta = this->fix_bad_columns(x);
+    for (size_t i = 0; i < df_meta.num_columns(); ++i)
+    {
+        auto curr_col = df_meta.get_column(i);
+
+        auto curr_ptr = static_cast<float*>(packed_data->data()) + i * df_meta.num_rows();
+
+        // Check if we are something other than float
+        if (curr_col.type().id() != cudf::type_id::FLOAT32)
         {
-            // Need to ensure all string columns have been converted to numbers. This requires running a
-            // regex which is too difficult to do from C++ at this time. So grab the GIL, make the
-            // conversions, and release. This is horribly inefficient, but so is the JSON lines format for
-            // this workflow
-            using namespace pybind11::literals;
-            pybind11::gil_scoped_acquire gil;
-
-            // pybind11::object df = x->meta->get_py_table();
-            auto df = mutable_info.checkout_obj();
-
-            std::string regex = R"((\d+))";
-
-            for (auto c : bad_cols)
-            {
-                df[pybind11::str(c)] = df[pybind11::str(c)]
-                                           .attr("str")
-                                           .attr("extract")(pybind11::str(regex), "expand"_a = true)
-                                           .attr("astype")(pybind11::str("float32"));
-            }
-
-            mutable_info.return_obj(std::move(df));
+            auto float_data = cudf::cast(curr_col, cudf::data_type(cudf::type_id::FLOAT32))->release();
+
+            // Do the copy here before it goes out of scope
+            MRC_CHECK_CUDA(cudaMemcpy(
+                curr_ptr, float_data.data->data(), df_meta.num_rows() * sizeof(float), cudaMemcpyDeviceToDevice));
+        }
+        else
+        {
+            MRC_CHECK_CUDA(cudaMemcpy(curr_ptr,
+                                      curr_col.template data<float>(),
+                                      df_meta.num_rows() * sizeof(float),
+                                      cudaMemcpyDeviceToDevice));
         }
     }
 
-    // Now re-get the meta
-    return x->get_meta(m_fea_cols);
+    // Need to convert from row major to column major
+    // Easiest way to do this is to transpose the data from [fea_len, row_count] to [row_count, fea_len]
+    auto transposed_data = MatxUtil::transpose(DevMemInfo{
+        packed_data, TypeId::FLOAT32, {static_cast<TensorIndex>(m_fea_cols.size()), num_rows}, {num_rows, 1}});
+
+    // Create the tensor which will be row-major and size [row_count, fea_len]
+    auto input__0 = Tensor::create(
+        transposed_data, DType::create<float>(), {num_rows, static_cast<TensorIndex>(m_fea_cols.size())}, {}, 0);
+
+    auto seq_id_dtype = DType::create<TensorIndex>();
+    auto seq_ids      = Tensor::create(
+        MatxUtil::create_seq_ids(num_rows, m_fea_cols.size(), seq_id_dtype.type_id(), input__0.get_memory(), 0),
+        seq_id_dtype,
+        {num_rows, 3},
+        {},
+        0);
+
+    // Build the results
+    auto memory = std::make_shared<TensorMemory>(num_rows);
+    memory->set_tensor("input__0", std::move(input__0));
+    memory->set_tensor("seq_ids", std::move(seq_ids));
+    auto next = x;
+    next->tensors(memory);
+
+    return next;
 }
 
+template class PreprocessFILStage<MultiMessage, MultiInferenceMessage>;
+template class PreprocessFILStage<ControlMessage, ControlMessage>;
+
 // ************ PreprocessFILStageInterfaceProxy *********** //
-std::shared_ptr<mrc::segment::Object<PreprocessFILStage>> PreprocessFILStageInterfaceProxy::init(
+std::shared_ptr<mrc::segment::Object<PreprocessFILStageMM>> PreprocessFILStageInterfaceProxy::init_multi(
+    mrc::segment::Builder& builder, const std::string& name, const std::vector<std::string>& features)
+{
+    auto stage = builder.construct_object<PreprocessFILStageMM>(name, features);
+
+    return stage;
+}
+
+std::shared_ptr<mrc::segment::Object<PreprocessFILStageCM>> PreprocessFILStageInterfaceProxy::init_cm(
     mrc::segment::Builder& builder, const std::string& name, const std::vector<std::string>& features)
 {
-    auto stage = builder.construct_object<PreprocessFILStage>(name, features);
+    auto stage = builder.construct_object<PreprocessFILStageCM>(name, features);
 
     return stage;
 }
diff --git a/morpheus/_lib/src/stages/preprocess_nlp.cpp b/morpheus/_lib/src/stages/preprocess_nlp.cpp
index deb9186be7..75fd794103 100644
--- a/morpheus/_lib/src/stages/preprocess_nlp.cpp
+++ b/morpheus/_lib/src/stages/preprocess_nlp.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,184 +17,295 @@
 
 #include "morpheus/stages/preprocess_nlp.hpp"
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/sink_properties.hpp"
-#include "mrc/node/source_properties.hpp"
-#include "mrc/segment/object.hpp"
-#include "mrc/types.hpp"
+#include "mrc/segment/object.hpp"  // for Object
 
+#include "morpheus/messages/control.hpp"                  // for ControlMessage
 #include "morpheus/messages/memory/inference_memory.hpp"  // for InferenceMemory
-#include "morpheus/messages/multi_inference.hpp"
-#include "morpheus/objects/dev_mem_info.hpp"
-#include "morpheus/objects/dtype.hpp"
-#include "morpheus/objects/table_info.hpp"  // for TableInfo
-#include "morpheus/objects/tensor.hpp"
-#include "morpheus/types.hpp"  // for TensorIndex, TensorMap
-#include "morpheus/utilities/matx_util.hpp"
-
-#include <cudf/column/column.hpp>  // for column, column::contents
-#include <cudf/column/column_factories.hpp>
-#include <cudf/column/column_view.hpp>
-#include <cudf/filling.hpp>
-#include <cudf/reshape.hpp>
-#include <cudf/scalar/scalar.hpp>
-#include <cudf/strings/strings_column_view.hpp>  // for strings_column_view
-#include <cudf/table/table_view.hpp>
-#include <cudf/types.hpp>
-#include <cudf/unary.hpp>
-#include <mrc/segment/builder.hpp>
-#include <nvtext/normalize.hpp>
-#include <nvtext/subword_tokenize.hpp>
-#include <pymrc/node.hpp>
-#include <rmm/cuda_stream_view.hpp>
-#include <rmm/device_buffer.hpp>  // for device_buffer
-
-#include <cstdint>
-#include <exception>
-#include <functional>
-#include <map>
-#include <memory>
-#include <utility>
+#include "morpheus/messages/memory/tensor_memory.hpp"     // for TensorMemory
+#include "morpheus/messages/meta.hpp"
+#include "morpheus/messages/multi.hpp"            // for MultiMessage
+#include "morpheus/messages/multi_inference.hpp"  // for MultiInferenceMessage
+#include "morpheus/objects/dev_mem_info.hpp"      // for DevMemInfo
+#include "morpheus/objects/dtype.hpp"             // for DType
+#include "morpheus/objects/table_info.hpp"        // for TableInfo
+#include "morpheus/objects/tensor.hpp"            // for Tensor
+#include "morpheus/types.hpp"                     // for TensorIndex
+#include "morpheus/utilities/matx_util.hpp"       // for MatxUtil
+
+#include <cudf/column/column.hpp>                 // for column
+#include <cudf/column/column_factories.hpp>       // for make_column_from_scalar
+#include <cudf/column/column_view.hpp>            // for column_view
+#include <cudf/filling.hpp>                       // for sequence
+#include <cudf/reshape.hpp>                       // for interleave_columns
+#include <cudf/scalar/scalar.hpp>                 // for numeric_scalar
+#include <cudf/strings/strings_column_view.hpp>   // for strings_column_view
+#include <cudf/table/table_view.hpp>              // for table_view
+#include <cudf/types.hpp>                         // for type_id, data_type
+#include <cudf/unary.hpp>                         // for cast
+#include <glog/logging.h>                         // for COMPACT_GOOGLE_LOG_ERROR, LOG, LogMessage
+#include <mrc/segment/builder.hpp>                // for Builder
+#include <nvtext/normalize.hpp>                   // for normalize_spaces
+#include <nvtext/subword_tokenize.hpp>            // for tokenizer_result, load_vocabulary_file, subword_tok...
+#include <rmm/cuda_stream_view.hpp>               // for cuda_stream_default
+#include <rmm/device_buffer.hpp>                  // for device_buffer
+#include <rmm/mr/device/per_device_resource.hpp>  // for get_current_device_resource
+
+#include <cstdint>      // for uint32_t, int32_t
+#include <memory>       // for shared_ptr, unique_ptr, __shared_ptr_access, make_s...
+#include <stdexcept>    // for runtime_error
+#include <type_traits>  // for is_same_v
+#include <typeinfo>     // for type_info
+#include <utility>      // for move
+#include <vector>       // for vector
 
 namespace morpheus {
 // Component public implementations
 // ************ PreprocessNLPStage ************************* //
-PreprocessNLPStage::PreprocessNLPStage(std::string vocab_hash_file,
-                                       uint32_t sequence_length,
-                                       bool truncation,
-                                       bool do_lower_case,
-                                       bool add_special_token,
-                                       int stride,
-                                       std::string column) :
-  PythonNode(base_t::op_factory_from_sub_fn(build_operator())),
+template <typename InputT, typename OutputT>
+PreprocessNLPStage<InputT, OutputT>::PreprocessNLPStage(std::string vocab_hash_file,
+                                                        uint32_t sequence_length,
+                                                        bool truncation,
+                                                        bool do_lower_case,
+                                                        bool add_special_token,
+                                                        int stride,
+                                                        std::string column) :
+  base_t(rxcpp::operators::map([this](sink_type_t x) {
+      return this->on_data(std::move(x));
+  })),
   m_vocab_hash_file(std::move(vocab_hash_file)),
   m_sequence_length(sequence_length),
   m_truncation(truncation),
   m_do_lower_case(do_lower_case),
   m_add_special_token(add_special_token),
-  m_stride(stride),
   m_column(std::move(column))
-{}
+{
+    // Auto calc stride to be 75% of sequence length
+    if (stride < 0)
+    {
+        stride = m_sequence_length / 2;
+        stride = stride + stride / 2;
+    }
+
+    m_stride = stride;
+}
+
+template <typename InputT, typename OutputT>
+PreprocessNLPStage<InputT, OutputT>::source_type_t PreprocessNLPStage<InputT, OutputT>::on_data(sink_type_t x)
+{
+    if constexpr (std::is_same_v<sink_type_t, std::shared_ptr<MultiMessage>>)
+    {
+        return this->on_multi_message(x);
+    }
+    else if constexpr (std::is_same_v<sink_type_t, std::shared_ptr<ControlMessage>>)
+    {
+        return this->on_control_message(x);
+    }
+    // sink_type_t not supported
+    else
+    {
+        std::string error_msg{"PreProcessNLPStage receives unsupported input type: " + std::string(typeid(x).name())};
+        LOG(ERROR) << error_msg;
+        throw std::runtime_error(error_msg);
+    }
+}
+
+template <>
+std::shared_ptr<MultiInferenceMessage> PreprocessNLPStage<MultiMessage, MultiInferenceMessage>::on_multi_message(
+    std::shared_ptr<MultiMessage> x)
+{
+    // Convert to string view
+    auto meta = x->get_meta(this->m_column);
+
+    auto col        = meta.get_column(0);
+    auto string_col = cudf::strings_column_view{col};
+
+    auto token_results = subword_tokenize(this->m_vocab_hash_file,
+                                          this->m_sequence_length,
+                                          this->m_do_lower_case,
+                                          this->m_truncation,
+                                          string_col,
+                                          this->m_stride,
+                                          rmm::mr::get_current_device_resource());
+
+    // Build the results
+    auto memory = std::make_shared<InferenceMemory>(token_results.nrows_tensor);
+
+    TensorIndex length = token_results.tensor_token_ids->size() / token_results.sequence_length;
+    auto input_ids_released =
+        cudf::cast(token_results.tensor_token_ids->view(), cudf::data_type(cudf::type_id::INT32))->release();
+
+    memory->set_tensor("input_ids",
+                       Tensor::create(std::move(input_ids_released.data),
+                                      DType::create<int32_t>(),
+                                      {length, static_cast<TensorIndex>(token_results.sequence_length)},
+                                      {},
+                                      0));
+
+    length = token_results.tensor_attention_mask->size() / token_results.sequence_length;
+    auto input_mask_released =
+        cudf::cast(token_results.tensor_attention_mask->view(), cudf::data_type(cudf::type_id::INT32))->release();
+    memory->set_tensor("input_mask",
+                       Tensor::create(std::move(input_mask_released.data),
+                                      DType::create<int32_t>(),
+                                      {length, static_cast<TensorIndex>(token_results.sequence_length)},
+                                      {},
+                                      0));
+
+    auto tensor_index_dtype = DType::create<TensorIndex>();
+    length                  = token_results.tensor_metadata->size() / 3;
+    auto seq_ids_released =
+        cudf::cast(token_results.tensor_metadata->view(), cudf::data_type(tensor_index_dtype.cudf_type_id()))
+            ->release();
+
+    std::shared_ptr<rmm::device_buffer> seq_ids_data = std::move(seq_ids_released.data);
+
+    if (x->mess_offset > 0)
+    {
+        // Add an offset to the seq_ids so the message IDs line up
+        MatxUtil::offset_seq_ids(DevMemInfo{seq_ids_data, tensor_index_dtype.type_id(), {length, 3}, {1, 3}},
+                                 x->mess_offset);
+    }
+
+    memory->set_tensor("seq_ids", Tensor::create(seq_ids_data, tensor_index_dtype, {length, 3}, {}, 0));
+
+    auto next = std::make_shared<MultiInferenceMessage>(
+        x->meta, x->mess_offset, x->mess_count, std::move(memory), 0, memory->count);
+
+    return std::move(next);
+}
+
+template <>
+std::shared_ptr<ControlMessage> PreprocessNLPStage<ControlMessage, ControlMessage>::on_control_message(
+    std::shared_ptr<ControlMessage> x)
+{
+    // Convert to string view
+    auto meta = x->payload()->get_info(this->m_column);
+
+    auto col        = meta.get_column(0);
+    auto string_col = cudf::strings_column_view{col};
+
+    auto token_results = subword_tokenize(this->m_vocab_hash_file,
+                                          this->m_sequence_length,
+                                          this->m_do_lower_case,
+                                          this->m_truncation,
+                                          string_col,
+                                          this->m_stride,
+                                          rmm::mr::get_current_device_resource());
+
+    // Build the results
+    auto memory = std::make_shared<TensorMemory>(token_results.nrows_tensor);
+
+    TensorIndex length = token_results.tensor_token_ids->size() / token_results.sequence_length;
+    auto input_ids_released =
+        cudf::cast(token_results.tensor_token_ids->view(), cudf::data_type(cudf::type_id::INT32))->release();
+    memory->set_tensor("input_ids",
+                       Tensor::create(std::move(input_ids_released.data),
+                                      DType::create<int32_t>(),
+                                      {length, static_cast<TensorIndex>(token_results.sequence_length)},
+                                      {},
+                                      0));
+
+    length = token_results.tensor_attention_mask->size() / token_results.sequence_length;
+    auto input_mask_released =
+        cudf::cast(token_results.tensor_attention_mask->view(), cudf::data_type(cudf::type_id::INT32))->release();
+    memory->set_tensor("input_mask",
+                       Tensor::create(std::move(input_mask_released.data),
+                                      DType::create<int32_t>(),
+                                      {length, static_cast<TensorIndex>(token_results.sequence_length)},
+                                      {},
+                                      0));
 
-PreprocessNLPStage::subscribe_fn_t PreprocessNLPStage::build_operator()
+    auto tensor_index_dtype = DType::create<TensorIndex>();
+    length                  = token_results.tensor_metadata->size() / 3;
+    auto seq_ids_released =
+        cudf::cast(token_results.tensor_metadata->view(), cudf::data_type(tensor_index_dtype.cudf_type_id()))
+            ->release();
+
+    std::shared_ptr<rmm::device_buffer> seq_ids_data = std::move(seq_ids_released.data);
+
+    memory->set_tensor("seq_ids", Tensor::create(seq_ids_data, tensor_index_dtype, {length, 3}, {}, 0));
+
+    auto next = x;
+    next->tensors(memory);
+
+    return std::move(next);
+}
+
+template <typename InputT, typename OutputT>
+nvtext::tokenizer_result PreprocessNLPStage<InputT, OutputT>::subword_tokenize(
+    const std::string& vocab_hash_file,
+    uint32_t sequence_length,
+    bool do_lower_case,
+    bool truncation,
+    cudf::strings_column_view const& string_col,
+    int stride,
+    rmm::mr::device_memory_resource* mr)
 {
-    return [this](rxcpp::observable<sink_type_t> input, rxcpp::subscriber<source_type_t> output) {
-        uint32_t stride = m_stride;
-
-        // Auto calc stride to be 75% of sequence length
-        if (stride < 0)
-        {
-            stride = m_sequence_length / 2;
-            stride = stride + stride / 2;
-        }
-
-        return input.subscribe(rxcpp::make_observer<sink_type_t>(
-            [this, &output, stride](sink_type_t x) {
-                // Convert to string view
-                auto meta       = x->get_meta(this->m_column);
-                auto col        = meta.get_column(0);
-                auto string_col = cudf::strings_column_view{col};
-
-                // Create the hashed vocab
-                thread_local std::unique_ptr<nvtext::hashed_vocabulary> vocab =
-                    nvtext::load_vocabulary_file(this->m_vocab_hash_file);
-
-                // remove leading and trailing whitespace
-                auto normalized_col      = nvtext::normalize_spaces(string_col);
-                auto normalized_col_view = cudf::strings_column_view{normalized_col->view()};
-
-                // Perform the tokenizer
-                nvtext::tokenizer_result token_results;
-
-                if (normalized_col_view.chars_size() > 0)
-                {
-                    token_results = nvtext::subword_tokenize(normalized_col_view,
-                                                             *vocab,
-                                                             this->m_sequence_length,
-                                                             stride,
-                                                             this->m_do_lower_case,
-                                                             this->m_truncation,
-                                                             normalized_col_view.size() * 2);
-                }
-                else
-                {
-                    // workaround for a situation where the input strings contain either no characters or only
-                    // whitespace
-                    auto zero = cudf::numeric_scalar<uint32_t>(0, true, rmm::cuda_stream_default);
-                    auto ids =
-                        cudf::make_column_from_scalar(zero, this->m_sequence_length * normalized_col_view.size());
-                    auto mask =
-                        cudf::make_column_from_scalar(zero, this->m_sequence_length * normalized_col_view.size());
-                    auto metadata = [&]() {
-                        auto iota   = cudf::sequence(normalized_col_view.size(), zero);
-                        auto zeroes = cudf::make_column_from_scalar(zero, normalized_col_view.size());
-                        return cudf::interleave_columns(cudf::table_view{
-                            std::vector<cudf::column_view>{iota->view(), zeroes->view(), zeroes->view()}});
-                    }();
-
-                    token_results = nvtext::tokenizer_result{static_cast<uint32_t>(normalized_col_view.size()),
-                                                             this->m_sequence_length,
-                                                             std::move(ids),
-                                                             std::move(mask),
-                                                             std::move(metadata)};
-                }
-
-                // Build the results
-                auto memory = std::make_shared<InferenceMemory>(token_results.nrows_tensor);
-
-                TensorIndex length = token_results.tensor_token_ids->size() / token_results.sequence_length;
-                auto input_ids_released =
-                    cudf::cast(token_results.tensor_token_ids->view(), cudf::data_type(cudf::type_id::INT32))
-                        ->release();
-
-                memory->set_tensor("input_ids",
-                                   Tensor::create(std::move(input_ids_released.data),
-                                                  DType::create<int32_t>(),
-                                                  {length, static_cast<TensorIndex>(token_results.sequence_length)},
-                                                  {},
-                                                  0));
-
-                length = token_results.tensor_attention_mask->size() / token_results.sequence_length;
-                auto input_mask_released =
-                    cudf::cast(token_results.tensor_attention_mask->view(), cudf::data_type(cudf::type_id::INT32))
-                        ->release();
-                memory->set_tensor("input_mask",
-                                   Tensor::create(std::move(input_mask_released.data),
-                                                  DType::create<int32_t>(),
-                                                  {length, static_cast<TensorIndex>(token_results.sequence_length)},
-                                                  {},
-                                                  0));
-
-                auto tensor_index_dtype = DType::create<TensorIndex>();
-                length                  = token_results.tensor_metadata->size() / 3;
-                auto seq_ids_released   = cudf::cast(token_results.tensor_metadata->view(),
-                                                   cudf::data_type(tensor_index_dtype.cudf_type_id()))
-                                            ->release();
-
-                std::shared_ptr<rmm::device_buffer> seq_ids_data = std::move(seq_ids_released.data);
-
-                if (x->mess_offset > 0)
-                {
-                    // Add an offset to the seq_ids so the message IDs line up
-                    MatxUtil::offset_seq_ids(
-                        DevMemInfo{seq_ids_data, tensor_index_dtype.type_id(), {length, 3}, {1, 3}}, x->mess_offset);
-                }
-
-                memory->set_tensor("seq_ids", Tensor::create(seq_ids_data, tensor_index_dtype, {length, 3}, {}, 0));
-
-                auto next = std::make_shared<MultiInferenceMessage>(
-                    x->meta, x->mess_offset, x->mess_count, std::move(memory), 0, memory->count);
-
-                output.on_next(std::move(next));
-            },
-            [&](std::exception_ptr error_ptr) { output.on_error(error_ptr); },
-            [&]() { output.on_completed(); }));
-    };
+    // Create the hashed vocab
+    thread_local std::unique_ptr<nvtext::hashed_vocabulary> vocab = nvtext::load_vocabulary_file(vocab_hash_file);
+
+    // remove leading and trailing whitespace
+    auto normalized_col      = nvtext::normalize_spaces(string_col);
+    auto normalized_col_view = cudf::strings_column_view{normalized_col->view()};
+
+    // Perform the tokenizer
+    nvtext::tokenizer_result token_results;
+
+    if (normalized_col_view.chars_size(rmm::cuda_stream_default) > 0)
+    {
+        token_results = nvtext::subword_tokenize(normalized_col_view,
+                                                 *vocab,
+                                                 sequence_length,
+                                                 stride,
+                                                 do_lower_case,
+                                                 truncation,
+                                                 rmm::mr::get_current_device_resource());
+    }
+    else
+    {
+        // workaround for a situation where the input strings contain either no characters or only
+        // whitespace
+        auto zero     = cudf::numeric_scalar<uint32_t>(0, true, rmm::cuda_stream_default);
+        auto ids      = cudf::make_column_from_scalar(zero, sequence_length * normalized_col_view.size());
+        auto mask     = cudf::make_column_from_scalar(zero, sequence_length * normalized_col_view.size());
+        auto metadata = [&]() {
+            auto iota   = cudf::sequence(normalized_col_view.size(), zero);
+            auto zeroes = cudf::make_column_from_scalar(zero, normalized_col_view.size());
+            return cudf::interleave_columns(
+                cudf::table_view{std::vector<cudf::column_view>{iota->view(), zeroes->view(), zeroes->view()}});
+        }();
+
+        token_results = nvtext::tokenizer_result{static_cast<uint32_t>(normalized_col_view.size()),
+                                                 sequence_length,
+                                                 std::move(ids),
+                                                 std::move(mask),
+                                                 std::move(metadata)};
+    }
+    return token_results;
 }
 
+template class PreprocessNLPStage<MultiMessage, MultiInferenceMessage>;
+template class PreprocessNLPStage<ControlMessage, ControlMessage>;
+
 // ************ PreprocessNLPStageInterfaceProxy *********** //
-std::shared_ptr<mrc::segment::Object<PreprocessNLPStage>> PreprocessNLPStageInterfaceProxy::init(
+std::shared_ptr<mrc::segment::Object<PreprocessNLPStageMM>> PreprocessNLPStageInterfaceProxy::init_multi(
+    mrc::segment::Builder& builder,
+    const std::string& name,
+    std::string vocab_hash_file,
+    uint32_t sequence_length,
+    bool truncation,
+    bool do_lower_case,
+    bool add_special_token,
+    int stride,
+    std::string column)
+{
+    auto stage = builder.construct_object<PreprocessNLPStageMM>(
+        name, vocab_hash_file, sequence_length, truncation, do_lower_case, add_special_token, stride, column);
+
+    return stage;
+}
+
+std::shared_ptr<mrc::segment::Object<PreprocessNLPStageCM>> PreprocessNLPStageInterfaceProxy::init_cm(
     mrc::segment::Builder& builder,
     const std::string& name,
     std::string vocab_hash_file,
@@ -205,7 +316,7 @@ std::shared_ptr<mrc::segment::Object<PreprocessNLPStage>> PreprocessNLPStageInte
     int stride,
     std::string column)
 {
-    auto stage = builder.construct_object<PreprocessNLPStage>(
+    auto stage = builder.construct_object<PreprocessNLPStageCM>(
         name, vocab_hash_file, sequence_length, truncation, do_lower_case, add_special_token, stride, column);
 
     return stage;
diff --git a/morpheus/_lib/src/stages/serialize.cpp b/morpheus/_lib/src/stages/serialize.cpp
index c1958faa47..fb612cd0b0 100644
--- a/morpheus/_lib/src/stages/serialize.cpp
+++ b/morpheus/_lib/src/stages/serialize.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,23 +17,18 @@
 
 #include "morpheus/stages/serialize.hpp"
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/sink_properties.hpp"
-#include "mrc/node/source_properties.hpp"
 #include "mrc/segment/builder.hpp"
 #include "mrc/segment/object.hpp"
-#include "mrc/types.hpp"
-#include "pymrc/node.hpp"
 
 #include "morpheus/messages/meta.hpp"
-#include "morpheus/objects/table_info.hpp"
+#include "morpheus/objects/table_info.hpp"  // for TableInfo
 
 #include <exception>
-#include <functional>
 #include <memory>
 #include <string>
-#include <utility>  // for move
+#include <type_traits>  // for is_same_v
+#include <utility>      // for move
+
 // IWYU thinks basic_stringbuf & map are needed for the regex constructor
 // IWYU pragma: no_include <map>
 // IWYU pragma: no_include <sstream>
@@ -43,27 +38,29 @@ namespace morpheus {
 constexpr std::regex_constants::syntax_option_type RegexOptions =
     std::regex_constants::ECMAScript | std::regex_constants::icase;
 
-// Component public implementations
-// ************ WriteToFileStage **************************** //
-SerializeStage::SerializeStage(const std::vector<std::string>& include,
-                               const std::vector<std::string>& exclude,
-                               bool fixed_columns) :
-  PythonNode(base_t::op_factory_from_sub_fn(build_operator())),
+template <typename InputT>
+SerializeStage<InputT>::SerializeStage(const std::vector<std::string>& include,
+                                       const std::vector<std::string>& exclude,
+                                       bool fixed_columns) :
+  base_t(base_t::op_factory_from_sub_fn(build_operator())),
   m_fixed_columns{fixed_columns}
 {
     make_regex_objs(include, m_include);
     make_regex_objs(exclude, m_exclude);
 }
 
-void SerializeStage::make_regex_objs(const std::vector<std::string>& regex_strs, std::vector<std::regex>& regex_objs)
+template <typename InputT>
+void SerializeStage<InputT>::make_regex_objs(const std::vector<std::string>& regex_strs,
+                                             std::vector<std::regex>& regex_objs)
 {
     for (const auto& s : regex_strs)
     {
-        regex_objs.emplace_back(std::regex{s, RegexOptions});
+        regex_objs.emplace_back(s, RegexOptions);
     }
 }
 
-bool SerializeStage::match_column(const std::vector<std::regex>& patterns, const std::string& column) const
+template <typename InputT>
+bool SerializeStage<InputT>::match_column(const std::vector<std::regex>& patterns, const std::string& column) const
 {
     for (const auto& re : patterns)
     {
@@ -75,7 +72,8 @@ bool SerializeStage::match_column(const std::vector<std::regex>& patterns, const
     return false;
 }
 
-bool SerializeStage::include_column(const std::string& column) const
+template <typename InputT>
+bool SerializeStage<InputT>::include_column(const std::string& column) const
 {
     if (m_include.empty())
     {
@@ -87,12 +85,14 @@ bool SerializeStage::include_column(const std::string& column) const
     }
 }
 
-bool SerializeStage::exclude_column(const std::string& column) const
+template <typename InputT>
+bool SerializeStage<InputT>::exclude_column(const std::string& column) const
 {
     return match_column(m_exclude, column);
 }
 
-std::shared_ptr<SlicedMessageMeta> SerializeStage::get_meta(sink_type_t& msg)
+template <typename InputT>
+std::shared_ptr<SlicedMessageMeta> SerializeStage<InputT>::get_meta(sink_type_t& msg)
 {
     // If none of the columns match the include regex patterns or are all are excluded this has the effect
     // of including all of the rows since calling msg->get_meta({}) will return a view with all columns.
@@ -100,7 +100,19 @@ std::shared_ptr<SlicedMessageMeta> SerializeStage::get_meta(sink_type_t& msg)
     if (!m_fixed_columns || m_column_names.empty())
     {
         m_column_names.clear();
-        for (const auto& c : msg->get_meta().get_column_names())
+
+        std::vector<std::string> column_names;
+
+        if constexpr (std::is_same_v<InputT, MultiMessage>)
+        {
+            column_names = msg->get_meta().get_column_names();
+        }
+        else
+        {
+            column_names = msg->payload()->get_info().get_column_names();
+        }
+
+        for (const auto& c : column_names)
         {
             if (include_column(c) && !exclude_column(c))
             {
@@ -109,11 +121,19 @@ std::shared_ptr<SlicedMessageMeta> SerializeStage::get_meta(sink_type_t& msg)
         }
     }
 
-    return std::make_shared<SlicedMessageMeta>(
-        msg->meta, msg->mess_offset, msg->mess_offset + msg->mess_count, m_column_names);
+    if constexpr (std::is_same_v<InputT, MultiMessage>)
+    {
+        return std::make_shared<SlicedMessageMeta>(
+            msg->meta, msg->mess_offset, msg->mess_offset + msg->mess_count, m_column_names);
+    }
+    else
+    {
+        return std::make_shared<SlicedMessageMeta>(msg->payload(), 0, msg->payload()->count(), m_column_names);
+    }
 }
 
-SerializeStage::subscribe_fn_t SerializeStage::build_operator()
+template <typename InputT>
+SerializeStage<InputT>::subscribe_fn_t SerializeStage<InputT>::build_operator()
 {
     return [this](rxcpp::observable<sink_type_t> input, rxcpp::subscriber<source_type_t> output) {
         return input.subscribe(rxcpp::make_observer<sink_type_t>(
@@ -122,21 +142,41 @@ SerializeStage::subscribe_fn_t SerializeStage::build_operator()
 
                 output.on_next(std::move(next_meta));
             },
-            [&](std::exception_ptr error_ptr) { output.on_error(error_ptr); },
-            [&]() { output.on_completed(); }));
+            [&](std::exception_ptr error_ptr) {
+                output.on_error(error_ptr);
+            },
+            [&]() {
+                output.on_completed();
+            }));
     };
 }
 
-// ************ WriteToFileStageInterfaceProxy ************* //
-std::shared_ptr<mrc::segment::Object<SerializeStage>> SerializeStageInterfaceProxy::init(
+template class SerializeStage<MultiMessage>;
+template class SerializeStage<ControlMessage>;
+
+// ************ SerializeStageInterfaceProxy ************* //
+std::shared_ptr<mrc::segment::Object<SerializeStageMM>> SerializeStageInterfaceProxy::init_mm(
     mrc::segment::Builder& builder,
     const std::string& name,
     const std::vector<std::string>& include,
     const std::vector<std::string>& exclude,
     bool fixed_columns)
 {
-    auto stage = builder.construct_object<SerializeStage>(name, include, exclude, fixed_columns);
+    auto stage = builder.construct_object<SerializeStageMM>(name, include, exclude, fixed_columns);
 
     return stage;
 }
+
+std::shared_ptr<mrc::segment::Object<SerializeStageCM>> SerializeStageInterfaceProxy::init_cm(
+    mrc::segment::Builder& builder,
+    const std::string& name,
+    const std::vector<std::string>& include,
+    const std::vector<std::string>& exclude,
+    bool fixed_columns)
+{
+    auto stage = builder.construct_object<SerializeStageCM>(name, include, exclude, fixed_columns);
+
+    return stage;
+}
+
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/stages/triton_inference.cpp b/morpheus/_lib/src/stages/triton_inference.cpp
index 2767070d47..6464c3be5d 100644
--- a/morpheus/_lib/src/stages/triton_inference.cpp
+++ b/morpheus/_lib/src/stages/triton_inference.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,45 +17,33 @@
 
 #include "morpheus/stages/triton_inference.hpp"
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/sink_properties.hpp"
-#include "mrc/node/source_properties.hpp"
-#include "mrc/segment/builder.hpp"
-#include "mrc/segment/object.hpp"
-#include "mrc/types.hpp"
-
-#include "morpheus/messages/memory/response_memory.hpp"
-#include "morpheus/messages/memory/tensor_memory.hpp"  // for TensorMemory
-#include "morpheus/objects/dev_mem_info.hpp"           // for DevMemInfo
-#include "morpheus/objects/dtype.hpp"                  // for DType
-#include "morpheus/objects/tensor.hpp"                 // for Tensor::create
-#include "morpheus/objects/tensor_object.hpp"          // for TensorObject
-#include "morpheus/objects/triton_in_out.hpp"          // for TritonInOut
-#include "morpheus/types.hpp"                          // for TensorIndex, TensorMap
-#include "morpheus/utilities/matx_util.hpp"            // for MatxUtil::logits, MatxUtil::reduce_max
-#include "morpheus/utilities/stage_util.hpp"           // for foreach_map
-#include "morpheus/utilities/string_util.hpp"          // for MORPHEUS_CONCAT_STR
-#include "morpheus/utilities/tensor_util.hpp"          // for get_elem_count
+#include "morpheus/objects/dtype.hpp"          // for DType
+#include "morpheus/objects/tensor.hpp"         // for Tensor::create
+#include "morpheus/objects/tensor_object.hpp"  // for TensorObject
+#include "morpheus/objects/triton_in_out.hpp"  // for TritonInOut
+#include "morpheus/types.hpp"                  // for TensorIndex, TensorMap
+#include "morpheus/utilities/string_util.hpp"  // for MORPHEUS_CONCAT_STR
+#include "morpheus/utilities/tensor_util.hpp"  // for get_elem_count
 
 #include <cuda_runtime.h>  // for cudaMemcpy, cudaMemcpy2D, cudaMemcpyDeviceToHost, cudaMemcpyHostToDevice
 #include <glog/logging.h>
 #include <http_client.h>
 #include <mrc/cuda/common.hpp>  // for MRC_CHECK_CUDA
 #include <nlohmann/json.hpp>
-#include <pymrc/node.hpp>
 #include <rmm/cuda_stream_view.hpp>  // for cuda_stream_per_thread
 #include <rmm/device_buffer.hpp>     // for device_buffer
 
 #include <algorithm>  // for min
+#include <coroutine>
 #include <cstddef>
-#include <cstdint>
-#include <exception>
 #include <functional>
+#include <map>
 #include <memory>
 #include <sstream>
 #include <stdexcept>  // for runtime_error, out_of_range
+#include <string>
 #include <utility>
+#include <vector>
 // IWYU pragma: no_include <initializer_list>
 
 /**
@@ -64,17 +52,14 @@
  * @file
  */
 
+namespace {
+
 /**
  * @brief Checks the status object returned by a Triton client call logging any potential errors.
  *
  */
 #define CHECK_TRITON(method) ::InferenceClientStage__check_triton_errors(method, #method, __FILE__, __LINE__);
 
-namespace {
-
-using namespace morpheus;
-using buffer_map_t = std::map<std::string, std::shared_ptr<rmm::device_buffer>>;
-
 // Component-private free functions.
 void InferenceClientStage__check_triton_errors(triton::client::Error status,
                                                const std::string& methodName,
@@ -91,298 +76,89 @@ void InferenceClientStage__check_triton_errors(triton::client::Error status,
     }
 }
 
-void build_output_tensors(TensorIndex count,
-                          const std::vector<TritonInOut>& model_outputs,
-                          buffer_map_t& output_buffers,
-                          TensorMap& output_tensors)
-{
-    // Create the output memory blocks
-    for (auto& model_output : model_outputs)
-    {
-        ShapeType total_shape = model_output.shape;
-
-        // First dimension will always end up being the number of rows in the dataframe
-        total_shape[0]  = count;
-        auto elem_count = TensorUtils::get_elem_count(total_shape);
-
-        // Create the output memory
-        auto output_buffer = std::make_shared<rmm::device_buffer>(elem_count * model_output.datatype.item_size(),
-                                                                  rmm::cuda_stream_per_thread);
-
-        output_buffers[model_output.mapped_name] = output_buffer;
-
-        // Triton results are always in row-major as required by the KServe protocol
-        // https://github.com/kserve/kserve/blob/master/docs/predict-api/v2/required_api.md#tensor-data
-        ShapeType stride{total_shape[1], 1};
-        output_tensors[model_output.mapped_name].swap(
-            Tensor::create(std::move(output_buffer), model_output.datatype, total_shape, stride, 0));
-    }
-}
-
-ShapeType get_seq_ids(const InferenceClientStage::sink_type_t& message)
-{
-    // Take a copy of the sequence Ids allowing us to map rows in the response to rows in the dataframe
-    // The output tensors we store in `reponse_memory` will all be of the same length as the the
-    // dataframe. seq_ids has three columns, but we are only interested in the first column.
-    auto seq_ids         = message->get_input("seq_ids");
-    const auto item_size = seq_ids.dtype().item_size();
-
-    ShapeType host_seq_ids(message->count);
-    MRC_CHECK_CUDA(cudaMemcpy2D(host_seq_ids.data(),
-                                item_size,
-                                seq_ids.data(),
-                                seq_ids.stride(0) * item_size,
-                                item_size,
-                                host_seq_ids.size(),
-                                cudaMemcpyDeviceToHost));
-
-    return host_seq_ids;
-}
+using namespace morpheus;
+using buffer_map_t = std::map<std::string, std::shared_ptr<rmm::device_buffer>>;
 
-std::pair<std::shared_ptr<triton::client::InferInput>, std::vector<uint8_t>> build_input(
-    const InferenceClientStage::sink_type_t& msg_slice, const TritonInOut& model_input)
+static bool is_default_grpc_port(std::string& server_url)
 {
-    DCHECK(msg_slice->memory->has_tensor(model_input.mapped_name))
-        << "Model input '" << model_input.mapped_name << "' not found in InferenceMemory";
-
-    auto const& inp_tensor = msg_slice->get_input(model_input.mapped_name);
-
-    // Convert to the right type. Make shallow if necessary
-    auto final_tensor = inp_tensor.as_type(model_input.datatype);
-
-    std::vector<uint8_t> inp_data = final_tensor.get_host_data();
-
-    // Test
-    triton::client::InferInput* inp_ptr;
-
-    triton::client::InferInput::Create(
-        &inp_ptr, model_input.name, {inp_tensor.shape(0), inp_tensor.shape(1)}, model_input.datatype.triton_str());
-
-    std::shared_ptr<triton::client::InferInput> inp_shared;
-    inp_shared.reset(inp_ptr);
-
-    inp_ptr->AppendRaw(inp_data);
+    // Check if we are the default gRPC port of 8001 and try 8000 for http client instead
+    size_t colon_loc = server_url.find_last_of(':');
 
-    return std::make_pair(inp_shared, std::move(inp_data));
-}
+    if (colon_loc == -1)
+    {
+        return false;
+    }
 
-std::shared_ptr<const triton::client::InferRequestedOutput> build_output(const TritonInOut& model_output)
-{
-    triton::client::InferRequestedOutput* out_ptr;
+    // Check if the port matches 8001
+    if (server_url.size() < colon_loc + 1 || server_url.substr(colon_loc + 1) != "8001")
+    {
+        return false;
+    }
 
-    triton::client::InferRequestedOutput::Create(&out_ptr, model_output.name);
-    std::shared_ptr<const triton::client::InferRequestedOutput> out_shared;
-    out_shared.reset(out_ptr);
+    // It matches, change to 8000
+    server_url = server_url.substr(0, colon_loc) + ":8000";
 
-    return out_shared;
+    return true;
 }
 
-void reduce_outputs(const InferenceClientStage::sink_type_t& x, buffer_map_t& output_buffers, TensorMap& output_tensors)
+struct TritonInferOperation
 {
-    // When our tensor lengths are longer than our dataframe we will need to use the seq_ids array to
-    // lookup how the values should map back into the dataframe.
-    auto host_seq_ids = get_seq_ids(x);
-
-    TensorMap reduced_outputs;
-
-    for (const auto& output : output_tensors)
+    bool await_ready() const noexcept
     {
-        auto& tensor = output.second;
-
-        ShapeType shape  = tensor.get_shape();
-        ShapeType stride = tensor.get_stride();
-
-        ShapeType reduced_shape{shape};
-        reduced_shape[0] = x->mess_count;
-
-        auto& buffer = output_buffers[output.first];
-        auto reduced_buffer =
-            MatxUtil::reduce_max(DevMemInfo{buffer, tensor.dtype(), shape, stride}, host_seq_ids, 0, reduced_shape);
-
-        output_buffers[output.first] = reduced_buffer;
-
-        reduced_outputs[output.first].swap(
-            Tensor::create(std::move(reduced_buffer), tensor.dtype(), reduced_shape, stride, 0));
+        return false;
     }
 
-    output_tensors = std::move(reduced_outputs);
-}
-
-void apply_logits(buffer_map_t& output_buffers, TensorMap& output_tensors)
-{
-    TensorMap logit_outputs;
-
-    for (const auto& output : output_tensors)
+    void await_suspend(std::coroutine_handle<> handle)
     {
-        auto& input_tensor = output.second;
-
-        auto shape  = input_tensor.get_shape();
-        auto stride = input_tensor.get_stride();
-
-        auto& buffer = output_buffers[output.first];
-
-        auto output_buffer = MatxUtil::logits(DevMemInfo{buffer, input_tensor.dtype(), shape, stride});
-
-        output_buffers[output.first] = output_buffer;
+        CHECK_TRITON(m_client.async_infer(
+            [this, handle](triton::client::InferResult* result) {
+                m_result.reset(result);
+                handle();
+            },
+            m_options,
+            m_inputs,
+            m_outputs));
+    }
 
-        // For logits the input and output shapes will be the same
-        logit_outputs[output.first].swap(
-            Tensor::create(std::move(output_buffer), input_tensor.dtype(), shape, stride, 0));
+    std::unique_ptr<triton::client::InferResult> await_resume()
+    {
+        return std::move(m_result);
     }
 
-    output_tensors = std::move(logit_outputs);
-}
+    ITritonClient& m_client;
+    triton::client::InferOptions const& m_options;
+    std::vector<TritonInferInput> const& m_inputs;
+    std::vector<TritonInferRequestedOutput> const& m_outputs;
+    std::unique_ptr<triton::client::InferResult> m_result;
+};
 
 }  // namespace
 
 namespace morpheus {
-// Component public implementations
-// ************ InferenceClientStage ************************* //
-InferenceClientStage::InferenceClientStage(std::string model_name,
-                                           std::string server_url,
-                                           bool force_convert_inputs,
-                                           bool use_shared_memory,
-                                           bool needs_logits,
-                                           std::map<std::string, std::string> inout_mapping) :
-  PythonNode(base_t::op_factory_from_sub_fn(build_operator())),
-  m_model_name(std::move(model_name)),
-  m_server_url(std::move(server_url)),
-  m_force_convert_inputs(force_convert_inputs),
-  m_use_shared_memory(use_shared_memory),
-  m_needs_logits(needs_logits),
-  m_inout_mapping(std::move(inout_mapping)),
-  m_options(m_model_name)
-{
-    // Connect with the server to setup the inputs/outputs
-    this->connect_with_server();  // TODO(Devin)
-}
-
-InferenceClientStage::subscribe_fn_t InferenceClientStage::build_operator()
-{
-    return [this](rxcpp::observable<sink_type_t> input, rxcpp::subscriber<source_type_t> output) {
-        std::unique_ptr<triton::client::InferenceServerHttpClient> client;
-
-        CHECK_TRITON(triton::client::InferenceServerHttpClient::Create(&client, m_server_url, false));
-
-        return input.subscribe(rxcpp::make_observer<sink_type_t>(
-            [this, &output, &client](sink_type_t x) {
-                // Using the `count` which is the number of rows in the inference tensors. We will check later if this
-                // doesn't match the number of rows in the dataframe (`mess_count`). This happens when the size of the
-                // input is too large and needs to be broken up in chunks in the pre-process stage. When this is the
-                // case we will reduce the rows in the response outputs such that we have a single response for each
-                // row int he dataframe.
-                TensorMap output_tensors;
-                buffer_map_t output_buffers;
-                build_output_tensors(x->count, m_model_outputs, output_buffers, output_tensors);
-
-                for (TensorIndex start = 0; start < x->count; start += m_max_batch_size)
-                {
-                    triton::client::InferInput* input1;
-
-                    TensorIndex stop = std::min(start + m_max_batch_size, x->count);
-
-                    sink_type_t mini_batch_input = x->get_slice(start, stop);
-
-                    // Iterate on the model inputs in case the model takes less than what tensors are available
-                    std::vector<std::pair<std::shared_ptr<triton::client::InferInput>, std::vector<uint8_t>>>
-                        saved_inputs = foreach_map(m_model_inputs, [&mini_batch_input](auto const& model_input) {
-                            return (build_input(mini_batch_input, model_input));
-                        });
-
-                    std::vector<std::shared_ptr<const triton::client::InferRequestedOutput>> saved_outputs =
-                        foreach_map(m_model_outputs, [](auto const& model_output) {
-                            // Generate the outputs to be requested.
-                            return build_output(model_output);
-                        });
-
-                    std::vector<triton::client::InferInput*> inputs =
-                        foreach_map(saved_inputs, [](auto x) { return x.first.get(); });
-
-                    std::vector<const triton::client::InferRequestedOutput*> outputs =
-                        foreach_map(saved_outputs, [](auto x) { return x.get(); });
-
-                    auto results = std::unique_ptr<triton::client::InferResult>([&]() {
-                        triton::client::InferResult* results;
-                        CHECK_TRITON(client->Infer(&results, m_options, inputs, outputs));
-                        return results;
-                    }());
-
-                    for (auto& model_output : m_model_outputs)
-                    {
-                        std::vector<int64_t> output_shape;
-
-                        CHECK_TRITON(results->Shape(model_output.name, &output_shape));
-
-                        // Make sure we have at least 2 dims
-                        while (output_shape.size() < 2)
-                        {
-                            output_shape.push_back(1);
-                        }
-
-                        const uint8_t* output_ptr = nullptr;
-                        size_t output_ptr_size    = 0;
-                        CHECK_TRITON(results->RawData(model_output.name, &output_ptr, &output_ptr_size));
-
-                        auto output_tensor = output_tensors[model_output.mapped_name].slice({start, 0}, {stop, -1});
-
-                        DCHECK_EQ(stop - start, output_shape[0]);
-                        DCHECK_EQ(output_tensor.bytes(), output_ptr_size);
-                        DCHECK_NOTNULL(output_ptr);
-                        DCHECK_NOTNULL(output_tensor.data());
-
-                        MRC_CHECK_CUDA(
-                            cudaMemcpy(output_tensor.data(), output_ptr, output_ptr_size, cudaMemcpyHostToDevice));
-                    }
-                }
-
-                if (x->mess_count != x->count)
-                {
-                    reduce_outputs(x, output_buffers, output_tensors);
-                }
-
-                // If we need to do logits, do that here
-                if (m_needs_logits)
-                {
-                    apply_logits(output_buffers, output_tensors);
-                }
-
-                // Final output of all mini-batches
-                auto response_mem = std::make_shared<ResponseMemory>(x->mess_count, std::move(output_tensors));
-                auto response     = std::make_shared<MultiResponseMessage>(
-                    x->meta, x->mess_offset, x->mess_count, std::move(response_mem), 0, response_mem->count);
-
-                output.on_next(std::move(response));
-            },
-            [&](std::exception_ptr error_ptr) { output.on_error(error_ptr); },
-            [&]() { output.on_completed(); }));
-    };
-}
 
-void InferenceClientStage::connect_with_server()
+HttpTritonClient::HttpTritonClient(std::string server_url)
 {
-    std::string server_url = m_server_url;
-
     std::unique_ptr<triton::client::InferenceServerHttpClient> client;
 
-    auto result = triton::client::InferenceServerHttpClient::Create(&client, server_url, false);
+    CHECK_TRITON(triton::client::InferenceServerHttpClient::Create(&client, server_url, false));
 
-    // Now load the input/outputs for the model
-    bool is_server_live = false;
+    bool is_server_live;
 
-    triton::client::Error status = client->IsServerLive(&is_server_live);
+    auto status = client->IsServerLive(&is_server_live);
 
-    if (!status.IsOk())
+    if (not status.IsOk())
     {
-        if (this->is_default_grpc_port(server_url))
+        std::string new_server_url = server_url;
+        if (is_default_grpc_port(new_server_url))
         {
-            LOG(WARNING) << "Failed to connect to Triton at '" << m_server_url
+            LOG(WARNING) << "Failed to connect to Triton at '" << server_url
                          << "'. Default gRPC port of (8001) was detected but C++ "
                             "InferenceClientStage uses HTTP protocol. Retrying with default HTTP port (8000)";
 
             // We are using the default gRPC port, try the default HTTP
             std::unique_ptr<triton::client::InferenceServerHttpClient> unique_client;
 
-            auto result = triton::client::InferenceServerHttpClient::Create(&unique_client, server_url, false);
+            CHECK_TRITON(triton::client::InferenceServerHttpClient::Create(&unique_client, new_server_url, false));
 
             client = std::move(unique_client);
 
@@ -392,44 +168,130 @@ void InferenceClientStage::connect_with_server()
         {
             throw std::runtime_error(MORPHEUS_CONCAT_STR(
                 "Failed to connect to Triton at '"
-                << m_server_url
+                << server_url
                 << "'. Received 'Unsupported Protocol' error. Are you using the right port? The C++ "
                    "InferenceClientStage uses Triton's HTTP protocol instead of gRPC. Ensure you have "
                    "specified the HTTP port (Default 8000)."));
         }
 
-        if (!status.IsOk())
+        if (not status.IsOk())
             throw std::runtime_error(
                 MORPHEUS_CONCAT_STR("Unable to connect to Triton at '"
-                                    << m_server_url << "'. Check the URL and port and ensure the server is running."));
+                                    << server_url << "'. Check the URL and port and ensure the server is running."));
+    }
+
+    m_client = std::move(client);
+}
+
+triton::client::Error HttpTritonClient::is_server_live(bool* live)
+{
+    return m_client->IsServerLive(live);
+}
+
+triton::client::Error HttpTritonClient::is_server_ready(bool* ready)
+{
+    return m_client->IsServerReady(ready);
+}
+
+triton::client::Error HttpTritonClient::is_model_ready(bool* ready, std::string& model_name)
+{
+    return m_client->IsModelReady(ready, model_name);
+}
+
+triton::client::Error HttpTritonClient::model_config(std::string* model_config, std::string& model_name)
+{
+    return m_client->ModelConfig(model_config, model_name);
+}
+
+triton::client::Error HttpTritonClient::model_metadata(std::string* model_metadata, std::string& model_name)
+{
+    return m_client->ModelMetadata(model_metadata, model_name);
+}
+
+triton::client::Error HttpTritonClient::async_infer(triton::client::InferenceServerHttpClient::OnCompleteFn callback,
+                                                    const triton::client::InferOptions& options,
+                                                    const std::vector<TritonInferInput>& inputs,
+                                                    const std::vector<TritonInferRequestedOutput>& outputs)
+{
+    std::vector<std::unique_ptr<triton::client::InferInput>> inference_inputs;
+    std::vector<triton::client::InferInput*> inference_input_ptrs;
+
+    for (auto& input : inputs)
+    {
+        triton::client::InferInput* inference_input_ptr;
+        triton::client::InferInput::Create(&inference_input_ptr, input.name, input.shape, input.type);
+
+        inference_input_ptr->AppendRaw(input.data);
+
+        inference_input_ptrs.emplace_back(inference_input_ptr);
+        inference_inputs.emplace_back(inference_input_ptr);
+    }
+
+    std::vector<std::unique_ptr<const triton::client::InferRequestedOutput>> inference_outputs;
+    std::vector<const triton::client::InferRequestedOutput*> inference_output_ptrs;
+
+    for (auto& output : outputs)
+    {
+        triton::client::InferRequestedOutput* inference_output_ptr;
+        triton::client::InferRequestedOutput::Create(&inference_output_ptr, output.name);
+        inference_output_ptrs.emplace_back(inference_output_ptr);
+        inference_outputs.emplace_back(inference_output_ptr);
     }
 
-    // Save this for new clients
-    m_server_url = server_url;
+    triton::client::InferResult* result;
+
+    auto status = m_client->Infer(&result, options, inference_input_ptrs, inference_output_ptrs);
+
+    callback(result);
+
+    return status;
+
+    // TODO(cwharris): either fix tests or make this ENV-flagged, as AsyncInfer gives different results.
+
+    // return m_client->AsyncInfer(
+    //     [callback](triton::client::InferResult* result) {
+    //         callback(result);
+    //     },
+    //     options,
+    //     inference_input_ptrs,
+    //     inference_output_ptrs);
+}
+
+TritonInferenceClientSession::TritonInferenceClientSession(std::shared_ptr<ITritonClient> client,
+                                                           std::string model_name) :
+  m_client(std::move(client)),
+  m_model_name(std::move(model_name))
+{
+    // Now load the input/outputs for the model
 
-    if (!is_server_live)
+    bool is_server_live = false;
+    CHECK_TRITON(m_client->is_server_live(&is_server_live));
+    if (not is_server_live)
+    {
         throw std::runtime_error("Server is not live");
+    }
 
     bool is_server_ready = false;
-    CHECK_TRITON(client->IsServerReady(&is_server_ready));
-
-    if (!is_server_ready)
+    CHECK_TRITON(m_client->is_server_ready(&is_server_ready));
+    if (not is_server_ready)
+    {
         throw std::runtime_error("Server is not ready");
+    }
 
     bool is_model_ready = false;
-    CHECK_TRITON(client->IsModelReady(&is_model_ready, this->m_model_name));
-
-    if (!is_model_ready)
+    CHECK_TRITON(m_client->is_model_ready(&is_model_ready, this->m_model_name));
+    if (not is_model_ready)
+    {
         throw std::runtime_error("Model is not ready");
+    }
 
     std::string model_metadata_json;
-    CHECK_TRITON(client->ModelMetadata(&model_metadata_json, this->m_model_name));
+    CHECK_TRITON(m_client->model_metadata(&model_metadata_json, this->m_model_name));
 
     auto model_metadata = nlohmann::json::parse(model_metadata_json);
 
     std::string model_config_json;
-    CHECK_TRITON(client->ModelConfig(&model_config_json, this->m_model_name));
-
+    CHECK_TRITON(m_client->model_config(&model_config_json, this->m_model_name));
     auto model_config = nlohmann::json::parse(model_config_json);
 
     if (model_config.contains("max_batch_size"))
@@ -455,18 +317,11 @@ void InferenceClientStage::connect_with_server()
             bytes *= y;
         }
 
-        auto mapped_name = input.at("name").get<std::string>();
-
-        if (m_inout_mapping.find(mapped_name) != m_inout_mapping.end())
-        {
-            mapped_name = m_inout_mapping[mapped_name];
-        }
-
         m_model_inputs.push_back(TritonInOut{input.at("name").get<std::string>(),
                                              bytes,
                                              DType::from_triton(input.at("datatype").get<std::string>()),
                                              shape,
-                                             mapped_name,
+                                             "",
                                              0});
     }
 
@@ -488,54 +343,161 @@ void InferenceClientStage::connect_with_server()
             bytes *= y;
         }
 
-        auto mapped_name = output.at("name").get<std::string>();
+        m_model_outputs.push_back(TritonInOut{output.at("name").get<std::string>(), bytes, dtype, shape, "", 0});
+    }
+}
+
+std::vector<TensorModelMapping> TritonInferenceClientSession::get_input_mappings(
+    std::vector<TensorModelMapping> input_map_overrides)
+{
+    auto mappings = std::vector<TensorModelMapping>();
+
+    for (auto map : m_model_inputs)
+    {
+        mappings.emplace_back(TensorModelMapping(map.name, map.name));
+    }
+
+    for (auto override : input_map_overrides)
+    {
+        mappings.emplace_back(override);
+    }
+
+    return mappings;
+};
+
+std::vector<TensorModelMapping> TritonInferenceClientSession::get_output_mappings(
+    std::vector<TensorModelMapping> output_map_overrides)
+{
+    auto mappings = std::vector<TensorModelMapping>();
+
+    for (auto map : m_model_outputs)
+    {
+        mappings.emplace_back(TensorModelMapping(map.name, map.name));
+    }
+
+    for (auto override : output_map_overrides)
+    {
+        auto pos = std::find_if(mappings.begin(), mappings.end(), [override](TensorModelMapping m) {
+            return m.model_field_name == override.model_field_name;
+        });
 
-        if (m_inout_mapping.find(mapped_name) != m_inout_mapping.end())
+        if (pos != mappings.end())
         {
-            mapped_name = m_inout_mapping[mapped_name];
+            mappings.erase(pos);
         }
 
-        m_model_outputs.push_back(
-            TritonInOut{output.at("name").get<std::string>(), bytes, dtype, shape, mapped_name, 0});
+        mappings.emplace_back(override);
     }
+
+    return mappings;
 }
 
-bool InferenceClientStage::is_default_grpc_port(std::string& server_url)
+mrc::coroutines::Task<TensorMap> TritonInferenceClientSession::infer(TensorMap&& inputs)
 {
-    // Check if we are the default gRPC port of 8001 and try 8000 for http client instead
-    size_t colon_loc = server_url.find_last_of(':');
+    CHECK_EQ(inputs.size(), m_model_inputs.size()) << "Input tensor count does not match model input count";
 
-    if (colon_loc == -1)
+    auto element_count = inputs.begin()->second.shape(0);
+
+    for (auto& input : inputs)
     {
-        return false;
+        CHECK_EQ(element_count, input.second.shape(0)) << "Input tensors are different sizes";
     }
 
-    // Check if the port matches 8001
-    if (server_url.size() < colon_loc + 1 || server_url.substr(colon_loc + 1) != "8001")
+    TensorMap model_output_tensors;
+
+    // create full inference output
+    for (auto& model_output : m_model_outputs)
     {
-        return false;
+        ShapeType full_output_shape    = model_output.shape;
+        full_output_shape[0]           = element_count;
+        auto full_output_element_count = TensorUtils::get_elem_count(full_output_shape);
+
+        auto full_output_buffer = std::make_shared<rmm::device_buffer>(
+            full_output_element_count * model_output.datatype.item_size(), rmm::cuda_stream_per_thread);
+
+        ShapeType stride{full_output_shape[1], 1};
+
+        model_output_tensors[model_output.name].swap(
+            Tensor::create(std::move(full_output_buffer), model_output.datatype, full_output_shape, stride, 0));
     }
 
-    // It matches, change to 8000
-    server_url = server_url.substr(0, colon_loc) + ":8000";
+    // process all batches
 
-    return true;
-}
+    for (TensorIndex start = 0; start < element_count; start += m_max_batch_size)
+    {
+        TensorIndex stop = std::min(start + m_max_batch_size, static_cast<TensorIndex>(element_count));
 
-// ************ InferenceClientStageInterfaceProxy********* //
-std::shared_ptr<mrc::segment::Object<InferenceClientStage>> InferenceClientStageInterfaceProxy::init(
-    mrc::segment::Builder& builder,
-    const std::string& name,
-    std::string model_name,
-    std::string server_url,
-    bool force_convert_inputs,
-    bool use_shared_memory,
-    bool needs_logits,
-    std::map<std::string, std::string> inout_mapping)
-{
-    auto stage = builder.construct_object<InferenceClientStage>(
-        name, model_name, server_url, force_convert_inputs, use_shared_memory, needs_logits, inout_mapping);
+        // create batch inputs
+
+        std::vector<TritonInferInput> inference_inputs;
+
+        for (auto model_input : m_model_inputs)
+        {
+            auto inference_input_slice =
+                inputs[model_input.name].slice({start, 0}, {stop, -1}).as_type(model_input.datatype);
+
+            inference_inputs.emplace_back(
+                TritonInferInput{model_input.name,
+                                 {inference_input_slice.shape(0), inference_input_slice.shape(1)},
+                                 model_input.datatype.triton_str(),
+                                 inference_input_slice.get_host_data()});
+        }
+
+        // create batch outputs
+
+        std::vector<TritonInferRequestedOutput> outputs;
 
-    return stage;
+        for (auto model_output : m_model_outputs)
+        {
+            outputs.emplace_back(TritonInferRequestedOutput{model_output.name});
+        }
+
+        // infer batch results
+
+        auto options = triton::client::InferOptions(m_model_name);
+
+        auto results = co_await TritonInferOperation(*m_client, options, inference_inputs, outputs);
+
+        // verify batch results and copy to full output tensors
+
+        for (auto model_output : m_model_outputs)
+        {
+            auto output_tensor = model_output_tensors[model_output.name].slice({start, 0}, {stop, -1});
+
+            std::vector<int64_t> output_shape;
+
+            CHECK_TRITON(results->Shape(model_output.name, &output_shape));
+
+            // Make sure we have at least 2 dims
+            while (output_shape.size() < 2)
+            {
+                output_shape.push_back(1);
+            }
+
+            const uint8_t* output_ptr = nullptr;
+            size_t output_ptr_size    = 0;
+            CHECK_TRITON(results->RawData(model_output.name, &output_ptr, &output_ptr_size));
+
+            DCHECK_EQ(stop - start, output_shape[0]);
+            DCHECK_EQ(output_tensor.bytes(), output_ptr_size);
+            DCHECK_NOTNULL(output_ptr);            // NOLINT
+            DCHECK_NOTNULL(output_tensor.data());  // NOLINT
+
+            MRC_CHECK_CUDA(cudaMemcpy(output_tensor.data(), output_ptr, output_ptr_size, cudaMemcpyHostToDevice));
+        }
+    }
+
+    co_return model_output_tensors;
+};
+
+TritonInferenceClient::TritonInferenceClient(std::unique_ptr<ITritonClient>&& client, std::string model_name) :
+  m_client(std::move(client)),
+  m_model_name(std::move(model_name))
+{}
+
+std::unique_ptr<IInferenceClientSession> TritonInferenceClient::create_session()
+{
+    return std::make_unique<TritonInferenceClientSession>(m_client, m_model_name);
 }
+
 }  // namespace morpheus
diff --git a/morpheus/_lib/src/stages/write_to_file.cpp b/morpheus/_lib/src/stages/write_to_file.cpp
index 597b948e7e..327c09df8b 100644
--- a/morpheus/_lib/src/stages/write_to_file.cpp
+++ b/morpheus/_lib/src/stages/write_to_file.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,15 +15,10 @@
  * limitations under the License.
  */
 
-#include "morpheus/stages/write_to_file.hpp"  // IWYU pragma: accosiated
+#include "morpheus/stages/write_to_file.hpp"  // IWYU pragma: associated
 
-#include "mrc/node/rx_sink_base.hpp"
-#include "mrc/node/rx_source_base.hpp"
-#include "mrc/node/sink_properties.hpp"
-#include "mrc/node/source_properties.hpp"
 #include "mrc/segment/builder.hpp"
 #include "mrc/segment/object.hpp"
-#include "mrc/types.hpp"
 #include "pymrc/node.hpp"
 
 #include "morpheus/io/serializers.hpp"
@@ -55,15 +50,21 @@ WriteToFileStage::WriteToFileStage(
     switch (file_type)
     {
     case FileTypes::JSON: {
-        m_write_func = [this](auto&& PH1) { write_json(std::forward<decltype(PH1)>(PH1)); };
+        m_write_func = [this](auto&& PH1) {
+            write_json(std::forward<decltype(PH1)>(PH1));
+        };
         break;
     }
     case FileTypes::CSV: {
-        m_write_func = [this](auto&& PH1) { write_csv(std::forward<decltype(PH1)>(PH1)); };
+        m_write_func = [this](auto&& PH1) {
+            write_csv(std::forward<decltype(PH1)>(PH1));
+        };
         break;
     }
     case FileTypes::PARQUET: {
-        m_write_func = [this](auto&& PH1) { write_parquet(std::forward<decltype(PH1)>(PH1)); };
+        m_write_func = [this](auto&& PH1) {
+            write_parquet(std::forward<decltype(PH1)>(PH1));
+        };
         break;
     }
     case FileTypes::Auto:
diff --git a/morpheus/_lib/src/utilities/cudf_util.cpp b/morpheus/_lib/src/utilities/cudf_util.cpp
index 8ce7157039..fbc86ad0d2 100644
--- a/morpheus/_lib/src/utilities/cudf_util.cpp
+++ b/morpheus/_lib/src/utilities/cudf_util.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/utilities/cupy_util.cpp b/morpheus/_lib/src/utilities/cupy_util.cpp
index e66a07235d..ebc40e022a 100644
--- a/morpheus/_lib/src/utilities/cupy_util.cpp
+++ b/morpheus/_lib/src/utilities/cupy_util.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -23,8 +23,7 @@
 #include "morpheus/utilities/tensor_util.hpp"
 
 #include <cuda_runtime.h>
-#include <glog/logging.h>  // for COMPACT_GOOGLE_LOG_FATAL, DCHECK, LogMessageFatal
-#include <pybind11/cast.h>
+#include <glog/logging.h>         // for COMPACT_GOOGLE_LOG_FATAL, DCHECK, LogMessageFatal
 #include <pybind11/functional.h>  // IWYU pragma: keep
 #include <pybind11/gil.h>         // IWYU pragma: keep
 #include <pybind11/pybind11.h>
@@ -33,7 +32,6 @@
 #include <rmm/cuda_stream_view.hpp>  // for cuda_stream_per_thread
 #include <rmm/device_buffer.hpp>     // for device_buffer
 
-#include <array>    // for array
 #include <cstdint>  // for uintptr_t
 #include <memory>   // for make_shared
 #include <optional>
@@ -46,20 +44,10 @@ namespace morpheus {
 
 namespace py = pybind11;
 
-pybind11::object CupyUtil::cp_module = pybind11::none();
-
 pybind11::module_ CupyUtil::get_cp()
 {
     DCHECK(PyGILState_Check() != 0);
-
-    if (cp_module.is_none())
-    {
-        cp_module = pybind11::module_::import("cupy");
-    }
-
-    auto m = pybind11::cast<pybind11::module_>(cp_module);
-
-    return m;
+    return pybind11::cast<pybind11::module_>(pybind11::module_::import("cupy"));
 }
 
 bool CupyUtil::is_cupy_array(pybind11::object test_obj)
diff --git a/morpheus/_lib/src/utilities/http_server.cpp b/morpheus/_lib/src/utilities/http_server.cpp
index 3d4d4d2efd..a6a58fd69c 100644
--- a/morpheus/_lib/src/utilities/http_server.cpp
+++ b/morpheus/_lib/src/utilities/http_server.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES.
  * All rights reserved. SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,36 +21,35 @@
 
 #include "pymrc/utilities/function_wrappers.hpp"  // for PyFuncWrapper
 
-#include <boost/asio.hpp>                         // for dispatch, make_address
-#include <boost/asio/basic_socket_acceptor.hpp>   // for basic_socket_acceptor<>::executor_type
-#include <boost/asio/basic_stream_socket.hpp>     // for basic_stream_socket
-#include <boost/asio/execution/any_executor.hpp>  // for any_executor
-#include <boost/asio/ip/tcp.hpp>                  // for acceptor, endpoint, socket,
+#include <boost/asio.hpp>  // for dispatch, make_address
+#include <boost/asio/any_io_executor.hpp>
+#include <boost/asio/basic_socket_acceptor.hpp>  // for basic_socket_acceptor<>::executor_type
+#include <boost/asio/basic_stream_socket.hpp>    // for basic_stream_socket
+#include <boost/asio/dispatch.hpp>
+#include <boost/asio/ip/tcp.hpp>       // for acceptor, endpoint, socket,
 #include <boost/asio/socket_base.hpp>  // for socket_base::reuse_address, socket_base, socket_base::max_listen_connections
 #include <boost/asio/strand.hpp>       // for strand, make_strand, operator==
 #include <boost/beast/core.hpp>        // for bind_front_handler, error_code, flat_buffer, tcp_stream
-#include <boost/beast/core/basic_stream.hpp>  // for basic_stream<>::socket_type
 #include <boost/beast/core/bind_handler.hpp>  // for bind_front_handler
 #include <boost/beast/core/error.hpp>         // for error_code
 #include <boost/beast/core/flat_buffer.hpp>   // for flat_buffer
-#include <boost/beast/core/string_type.hpp>   // for string_view
-#include <boost/beast/core/tcp_stream.hpp>    // for tcp_stream
-#include <boost/beast/http.hpp>               // for read_async, request, response, verb, write_async
-#include <boost/beast/http/error.hpp>         // for error, error::end_of_stream
-#include <boost/beast/http/field.hpp>         // for field, field::content_type
-#include <boost/beast/http/message.hpp>       // for message, response, request
-#include <boost/beast/http/parser.hpp>        // for request_parser, parser
-#include <boost/beast/http/status.hpp>        // for status, status::not_found
-#include <boost/beast/http/string_body.hpp>   // for string_body, basic_string_body, basic_string_body<>::value_type
-#include <boost/beast/http/verb.hpp>          // for verb, operator<<, verb::unknown
-#include <boost/utility/string_view.hpp>      // for basic_string_view, operator<<, operator==
-#include <glog/logging.h>                     // for CHECK and LOG
-#include <pybind11/cast.h>                    // for cast
+#include <boost/beast/core/rate_policy.hpp>
+#include <boost/beast/core/tcp_stream.hpp>  // for tcp_stream
+#include <boost/beast/http.hpp>             // for read_async, request, response, verb, write_async
+#include <boost/beast/http/error.hpp>       // for error, error::end_of_stream
+#include <boost/beast/http/field.hpp>       // for field, field::content_type
+#include <boost/beast/http/fields.hpp>
+#include <boost/beast/http/message.hpp>      // for message, response, request
+#include <boost/beast/http/parser.hpp>       // for request_parser, parser
+#include <boost/beast/http/status.hpp>       // for status, status::not_found
+#include <boost/beast/http/string_body.hpp>  // for string_body, basic_string_body, basic_string_body<>::value_type
+#include <boost/beast/http/verb.hpp>         // for verb, operator<<, verb::unknown
+#include <boost/core/detail/string_view.hpp>
+#include <glog/logging.h>  // for CHECK and LOG
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>  // IWYU pragma: keep
 #include <pybind11/pytypes.h>
 
-#include <array>        // for array (indirectly used by the wrapped python callback function)
 #include <exception>    // for exception
 #include <ostream>      // needed for glog
 #include <stdexcept>    // for runtime_error, length_error
diff --git a/morpheus/_lib/src/utilities/matx_util.cu b/morpheus/_lib/src/utilities/matx_util.cu
index bc5a0bd8eb..a1dc626242 100644
--- a/morpheus/_lib/src/utilities/matx_util.cu
+++ b/morpheus/_lib/src/utilities/matx_util.cu
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -105,10 +105,12 @@ struct MatxUtil__MatxCreateSegIds
         auto output_tensor = matx::make_tensor<OutputT>(static_cast<OutputT*>(output_data), shape);
 
         auto col0      = output_tensor.template Slice<1>({0, 0}, {matx::matxEnd, matx::matxDropDim});
+        auto col1      = output_tensor.template Slice<1>({0, 1}, {matx::matxEnd, matx::matxDropDim});
         auto col2      = output_tensor.template Slice<1>({0, 2}, {matx::matxEnd, matx::matxDropDim});
         auto range_col = matx::range<0, tensorShape_1d, OutputT>({element_count}, start_idx, 1);
 
         (col0 = range_col).run(stream.value());
+        (col1 = 0).run(stream.value());
         (col2 = fea_len - 1).run(stream.value());
     }
 };
@@ -269,16 +271,10 @@ struct MatxUtil__MatxThreshold
         auto input_tensor =
             matx::make_tensor<InputT, matx::DefaultDescriptor<2>>(static_cast<InputT*>(input_data), std::move(desc));
 
-        // Tmp array to hold max value
-        auto max_tensor = matx::make_tensor<InputT>(output_shape);
-
-        // row-wise reduction
-        matx::rmax(max_tensor, input_tensor, stream.value());
-
         auto output_tensor = matx::make_tensor<bool>(static_cast<bool*>(output_data), output_shape);
 
         // Convert max value to bool
-        (output_tensor = max_tensor > (InputT)threshold).run(stream.value());
+        (output_tensor = matx::rmax(input_tensor, {1}) > (InputT)threshold).run(stream.value());
     }
 
     /**
@@ -363,12 +359,10 @@ struct MatxUtil__MatxReduceMax
                      matx::index_t output_idx)
     {
         auto input_slice = input_tensor.Slice({start, 0}, {stop, matx::matxEnd});
-        auto tmp_tensor  = matx::make_tensor<InputT>({num_cols});
-
-        matx::rmax(tmp_tensor, input_slice.Permute({1, 0}), stream.value());
 
         auto output_slice = output_tensor.template Slice<1>({output_idx, 0}, {matx::matxDropDim, matx::matxEnd});
-        (output_slice = tmp_tensor).run(stream.value());
+
+        (output_slice = matx::rmax(input_slice.Permute({1, 0}))).run(stream.value());
     }
 };
 }  // namespace
diff --git a/morpheus/_lib/src/utilities/python_util.cpp b/morpheus/_lib/src/utilities/python_util.cpp
index ac080867b5..82f7907fc2 100644
--- a/morpheus/_lib/src/utilities/python_util.cpp
+++ b/morpheus/_lib/src/utilities/python_util.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/utilities/string_util.cpp b/morpheus/_lib/src/utilities/string_util.cpp
index 4d52517de0..845091b639 100644
--- a/morpheus/_lib/src/utilities/string_util.cpp
+++ b/morpheus/_lib/src/utilities/string_util.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/utilities/table_util.cpp b/morpheus/_lib/src/utilities/table_util.cpp
index c6cb832772..1c93493d92 100644
--- a/morpheus/_lib/src/utilities/table_util.cpp
+++ b/morpheus/_lib/src/utilities/table_util.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/src/utilities/tensor_util.cpp b/morpheus/_lib/src/utilities/tensor_util.cpp
index 876dcd043e..ef5b5dce97 100644
--- a/morpheus/_lib/src/utilities/tensor_util.cpp
+++ b/morpheus/_lib/src/utilities/tensor_util.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,7 +24,6 @@
 #include <experimental/iterator>  // for make_ostream_joiner
 #include <ostream>      // for operator<<, ostream, stringstream
 #include <string>       // for char_traits, string
-#include <type_traits>  // for decay_t
 #include <vector>       // for vector
 
 namespace morpheus {
diff --git a/morpheus/_lib/stages/__init__.pyi b/morpheus/_lib/stages/__init__.pyi
index a9e8ac6445..3a5a442202 100644
--- a/morpheus/_lib/stages/__init__.pyi
+++ b/morpheus/_lib/stages/__init__.pyi
@@ -11,11 +11,15 @@ import typing
 from morpheus._lib.common import FilterSource
 import morpheus._lib.common
 import mrc.core.segment
+import os
 
 __all__ = [
-    "AddClassificationsStage",
-    "AddScoresStage",
-    "DeserializeStage",
+    "AddClassificationsControlMessageStage",
+    "AddClassificationsMultiResponseMessageStage",
+    "AddScoresControlMessageStage",
+    "AddScoresMultiResponseMessageStage",
+    "DeserializeControlMessageStage",
+    "DeserializeMultiMessageStage",
     "FileSourceStage",
     "FilterDetectionsStage",
     "FilterSource",
@@ -24,23 +28,38 @@ __all__ = [
     "KafkaSourceStage",
     "PreallocateMessageMetaStage",
     "PreallocateMultiMessageStage",
-    "PreprocessFILStage",
-    "PreprocessNLPStage",
-    "SerializeStage",
+    "PreprocessFILControlMessageStage",
+    "PreprocessFILMultiMessageStage",
+    "PreprocessNLPControlMessageStage",
+    "PreprocessNLPMultiMessageStage",
+    "SerializeControlMessageStage",
+    "SerializeMultiMessageStage",
     "WriteToFileStage"
 ]
 
 
-class AddClassificationsStage(mrc.core.segment.SegmentObject):
+class AddClassificationsControlMessageStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, idx2label: typing.Dict[int, str], threshold: float) -> None: ...
     pass
-class AddScoresStage(mrc.core.segment.SegmentObject):
+class AddClassificationsMultiResponseMessageStage(mrc.core.segment.SegmentObject):
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, idx2label: typing.Dict[int, str], threshold: float) -> None: ...
+    pass
+class AddScoresControlMessageStage(mrc.core.segment.SegmentObject):
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, idx2label: typing.Dict[int, str]) -> None: ...
+    pass
+class AddScoresMultiResponseMessageStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, idx2label: typing.Dict[int, str]) -> None: ...
     pass
-class DeserializeStage(mrc.core.segment.SegmentObject):
+class DeserializeControlMessageStage(mrc.core.segment.SegmentObject):
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, batch_size: int, ensure_sliceable_index: bool = True, task_type: object = None, task_payload: object = None) -> None: ...
+    pass
+class DeserializeMultiMessageStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, batch_size: int, ensure_sliceable_index: bool = True) -> None: ...
     pass
 class FileSourceStage(mrc.core.segment.SegmentObject):
+    @typing.overload
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, filename: os.PathLike, repeat: int, parser_kwargs: dict) -> None: ...
+    @typing.overload
     def __init__(self, builder: mrc.core.segment.Builder, name: str, filename: str, repeat: int, parser_kwargs: dict) -> None: ...
     pass
 class FilterDetectionsStage(mrc.core.segment.SegmentObject):
@@ -50,7 +69,7 @@ class HttpServerSourceStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, bind_address: str = '127.0.0.1', port: int = 8080, endpoint: str = '/message', method: str = 'POST', accept_status: int = 201, sleep_time: float = 0.10000000149011612, queue_timeout: int = 5, max_queue_size: int = 1024, num_server_threads: int = 1, max_payload_size: int = 10485760, request_timeout: int = 30, lines: bool = False, stop_after: int = 0) -> None: ...
     pass
 class InferenceClientStage(mrc.core.segment.SegmentObject):
-    def __init__(self, builder: mrc.core.segment.Builder, name: str, model_name: str, server_url: str, force_convert_inputs: bool, use_shared_memory: bool, needs_logits: bool, inout_mapping: typing.Dict[str, str] = {}) -> None: ...
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, server_url: str, model_name: str, needs_logits: bool, input_mapping: typing.Dict[str, str] = {}, output_mapping: typing.Dict[str, str] = {}) -> None: ...
     pass
 class KafkaSourceStage(mrc.core.segment.SegmentObject):
     @typing.overload
@@ -64,16 +83,25 @@ class PreallocateMessageMetaStage(mrc.core.segment.SegmentObject):
 class PreallocateMultiMessageStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, needed_columns: typing.List[typing.Tuple[str, morpheus._lib.common.TypeId]]) -> None: ...
     pass
-class PreprocessFILStage(mrc.core.segment.SegmentObject):
+class PreprocessFILControlMessageStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, features: typing.List[str]) -> None: ...
     pass
-class PreprocessNLPStage(mrc.core.segment.SegmentObject):
+class PreprocessFILMultiMessageStage(mrc.core.segment.SegmentObject):
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, features: typing.List[str]) -> None: ...
+    pass
+class PreprocessNLPControlMessageStage(mrc.core.segment.SegmentObject):
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, vocab_hash_file: str, sequence_length: int, truncation: bool, do_lower_case: bool, add_special_token: bool, stride: int, column: str) -> None: ...
+    pass
+class PreprocessNLPMultiMessageStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, vocab_hash_file: str, sequence_length: int, truncation: bool, do_lower_case: bool, add_special_token: bool, stride: int, column: str) -> None: ...
     pass
-class SerializeStage(mrc.core.segment.SegmentObject):
+class SerializeControlMessageStage(mrc.core.segment.SegmentObject):
+    def __init__(self, builder: mrc.core.segment.Builder, name: str, include: typing.List[str], exclude: typing.List[str], fixed_columns: bool = True) -> None: ...
+    pass
+class SerializeMultiMessageStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, include: typing.List[str], exclude: typing.List[str], fixed_columns: bool = True) -> None: ...
     pass
 class WriteToFileStage(mrc.core.segment.SegmentObject):
     def __init__(self, builder: mrc.core.segment.Builder, name: str, filename: str, mode: str = 'w', file_type: morpheus._lib.common.FileTypes = FileTypes.Auto, include_index_col: bool = True, flush: bool = False) -> None: ...
     pass
-__version__ = '23.11.0'
+__version__ = '24.3.0'
diff --git a/morpheus/_lib/stages/module.cpp b/morpheus/_lib/stages/module.cpp
index 1505ad0d71..7b0d7ea293 100644
--- a/morpheus/_lib/stages/module.cpp
+++ b/morpheus/_lib/stages/module.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,36 +15,41 @@
  * limitations under the License.
  */
 
+#include "morpheus/messages/control.hpp"
 #include "morpheus/messages/meta.hpp"
 #include "morpheus/messages/multi.hpp"
-#include "morpheus/objects/file_types.hpp"  // for FileTypes
+#include "morpheus/objects/file_types.hpp"
 #include "morpheus/stages/add_classification.hpp"
 #include "morpheus/stages/add_scores.hpp"
 #include "morpheus/stages/deserialize.hpp"
 #include "morpheus/stages/file_source.hpp"
 #include "morpheus/stages/filter_detection.hpp"
 #include "morpheus/stages/http_server_source_stage.hpp"
+#include "morpheus/stages/inference_client_stage.hpp"
 #include "morpheus/stages/kafka_source.hpp"
 #include "morpheus/stages/preallocate.hpp"
 #include "morpheus/stages/preprocess_fil.hpp"
 #include "morpheus/stages/preprocess_nlp.hpp"
 #include "morpheus/stages/serialize.hpp"
-#include "morpheus/stages/triton_inference.hpp"
 #include "morpheus/stages/write_to_file.hpp"
 #include "morpheus/utilities/cudf_util.hpp"
-#include "morpheus/utilities/http_server.hpp"  // for DefaultMaxPayloadSize
+#include "morpheus/utilities/http_server.hpp"
 #include "morpheus/version.hpp"
 
+#include <mrc/segment/builder.hpp>
 #include <mrc/segment/object.hpp>
 #include <mrc/utils/string_utils.hpp>
-#include <pybind11/attr.h>      // for multiple_inheritance
-#include <pybind11/pybind11.h>  // for arg, init, class_, module_, str_attr_accessor, PYBIND11_MODULE, pybind11
-#include <pybind11/pytypes.h>   // for dict, sequence
-#include <pymrc/utils.hpp>      // for pymrc::import
+#include <pybind11/attr.h>            // for multiple_inheritance
+#include <pybind11/pybind11.h>        // for arg, init, class_, module_, str_attr_accessor, PYBIND11_MODULE, pybind11
+#include <pybind11/pytypes.h>         // for dict, sequence
+#include <pybind11/stl/filesystem.h>  // IWYU pragma: keep
+#include <pymrc/utils.hpp>            // for pymrc::import
 #include <rxcpp/rx.hpp>
 
+#include <filesystem>
 #include <memory>
 #include <sstream>
+#include <string>
 
 namespace morpheus {
 namespace py = pybind11;
@@ -67,38 +72,80 @@ PYBIND11_MODULE(stages, _module)
 
     mrc::pymrc::from_import(_module, "morpheus._lib.common", "FilterSource");
 
-    py::class_<mrc::segment::Object<AddClassificationsStage>,
+    py::class_<mrc::segment::Object<AddClassificationsStageMM>,
                mrc::segment::ObjectProperties,
-               std::shared_ptr<mrc::segment::Object<AddClassificationsStage>>>(
-        _module, "AddClassificationsStage", py::multiple_inheritance())
-        .def(py::init<>(&AddClassificationStageInterfaceProxy::init),
+               std::shared_ptr<mrc::segment::Object<AddClassificationsStageMM>>>(
+        _module, "AddClassificationsMultiResponseMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&AddClassificationStageInterfaceProxy::init_multi),
              py::arg("builder"),
              py::arg("name"),
              py::arg("idx2label"),
              py::arg("threshold"));
 
-    py::class_<mrc::segment::Object<AddScoresStage>,
+    py::class_<mrc::segment::Object<AddClassificationsStageCM>,
                mrc::segment::ObjectProperties,
-               std::shared_ptr<mrc::segment::Object<AddScoresStage>>>(
-        _module, "AddScoresStage", py::multiple_inheritance())
-        .def(
-            py::init<>(&AddScoresStageInterfaceProxy::init), py::arg("builder"), py::arg("name"), py::arg("idx2label"));
+               std::shared_ptr<mrc::segment::Object<AddClassificationsStageCM>>>(
+        _module, "AddClassificationsControlMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&AddClassificationStageInterfaceProxy::init_cm),
+             py::arg("builder"),
+             py::arg("name"),
+             py::arg("idx2label"),
+             py::arg("threshold"));
+
+    py::class_<mrc::segment::Object<AddScoresStageMM>,
+               mrc::segment::ObjectProperties,
+               std::shared_ptr<mrc::segment::Object<AddScoresStageMM>>>(
+        _module, "AddScoresMultiResponseMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&AddScoresStageInterfaceProxy::init_multi),
+             py::arg("builder"),
+             py::arg("name"),
+             py::arg("idx2label"));
+
+    py::class_<mrc::segment::Object<AddScoresStageCM>,
+               mrc::segment::ObjectProperties,
+               std::shared_ptr<mrc::segment::Object<AddScoresStageCM>>>(
+        _module, "AddScoresControlMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&AddScoresStageInterfaceProxy::init_cm),
+             py::arg("builder"),
+             py::arg("name"),
+             py::arg("idx2label"));
 
-    py::class_<mrc::segment::Object<DeserializeStage>,
+    py::class_<mrc::segment::Object<DeserializeStage<MultiMessage>>,
                mrc::segment::ObjectProperties,
-               std::shared_ptr<mrc::segment::Object<DeserializeStage>>>(
-        _module, "DeserializeStage", py::multiple_inheritance())
-        .def(py::init<>(&DeserializeStageInterfaceProxy::init),
+               std::shared_ptr<mrc::segment::Object<DeserializeStage<MultiMessage>>>>(
+        _module, "DeserializeMultiMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&DeserializeStageInterfaceProxy::init_multi),
              py::arg("builder"),
              py::arg("name"),
              py::arg("batch_size"),
              py::arg("ensure_sliceable_index") = true);
 
+    py::class_<mrc::segment::Object<DeserializeStage<ControlMessage>>,
+               mrc::segment::ObjectProperties,
+               std::shared_ptr<mrc::segment::Object<DeserializeStage<ControlMessage>>>>(
+        _module, "DeserializeControlMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&DeserializeStageInterfaceProxy::init_cm),
+             py::arg("builder"),
+             py::arg("name"),
+             py::arg("batch_size"),
+             py::arg("ensure_sliceable_index") = true,
+             py::arg("task_type")              = py::none(),
+             py::arg("task_payload")           = py::none());
+
     py::class_<mrc::segment::Object<FileSourceStage>,
                mrc::segment::ObjectProperties,
                std::shared_ptr<mrc::segment::Object<FileSourceStage>>>(
         _module, "FileSourceStage", py::multiple_inheritance())
-        .def(py::init<>(&FileSourceStageInterfaceProxy::init),
+        .def(py::init(py::overload_cast<mrc::segment::Builder&, const std::string&, std::string, int, py::dict>(
+                 &FileSourceStageInterfaceProxy::init)),
+             py::arg("builder"),
+             py::arg("name"),
+             py::arg("filename"),
+             py::arg("repeat"),
+             py::arg("parser_kwargs"))
+        .def(py::init(
+                 py::overload_cast<mrc::segment::Builder&, const std::string&, std::filesystem::path, int, py::dict>(
+                     &FileSourceStageInterfaceProxy::init)),
              py::arg("builder"),
              py::arg("name"),
              py::arg("filename"),
@@ -124,12 +171,11 @@ PYBIND11_MODULE(stages, _module)
         .def(py::init<>(&InferenceClientStageInterfaceProxy::init),
              py::arg("builder"),
              py::arg("name"),
-             py::arg("model_name"),
              py::arg("server_url"),
-             py::arg("force_convert_inputs"),
-             py::arg("use_shared_memory"),
+             py::arg("model_name"),
              py::arg("needs_logits"),
-             py::arg("inout_mapping") = py::dict());
+             py::arg("input_mapping")  = py::dict(),
+             py::arg("output_mapping") = py::dict());
 
     py::class_<mrc::segment::Object<KafkaSourceStage>,
                mrc::segment::ObjectProperties,
@@ -178,20 +224,44 @@ PYBIND11_MODULE(stages, _module)
              py::arg("name"),
              py::arg("needed_columns"));
 
-    py::class_<mrc::segment::Object<PreprocessFILStage>,
+    py::class_<mrc::segment::Object<PreprocessFILStageMM>,
                mrc::segment::ObjectProperties,
-               std::shared_ptr<mrc::segment::Object<PreprocessFILStage>>>(
-        _module, "PreprocessFILStage", py::multiple_inheritance())
-        .def(py::init<>(&PreprocessFILStageInterfaceProxy::init),
+               std::shared_ptr<mrc::segment::Object<PreprocessFILStageMM>>>(
+        _module, "PreprocessFILMultiMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&PreprocessFILStageInterfaceProxy::init_multi),
              py::arg("builder"),
              py::arg("name"),
              py::arg("features"));
 
-    py::class_<mrc::segment::Object<PreprocessNLPStage>,
+    py::class_<mrc::segment::Object<PreprocessFILStageCM>,
                mrc::segment::ObjectProperties,
-               std::shared_ptr<mrc::segment::Object<PreprocessNLPStage>>>(
-        _module, "PreprocessNLPStage", py::multiple_inheritance())
-        .def(py::init<>(&PreprocessNLPStageInterfaceProxy::init),
+               std::shared_ptr<mrc::segment::Object<PreprocessFILStageCM>>>(
+        _module, "PreprocessFILControlMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&PreprocessFILStageInterfaceProxy::init_cm),
+             py::arg("builder"),
+             py::arg("name"),
+             py::arg("features"));
+
+    py::class_<mrc::segment::Object<PreprocessNLPStageMM>,
+               mrc::segment::ObjectProperties,
+               std::shared_ptr<mrc::segment::Object<PreprocessNLPStageMM>>>(
+        _module, "PreprocessNLPMultiMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&PreprocessNLPStageInterfaceProxy::init_multi),
+             py::arg("builder"),
+             py::arg("name"),
+             py::arg("vocab_hash_file"),
+             py::arg("sequence_length"),
+             py::arg("truncation"),
+             py::arg("do_lower_case"),
+             py::arg("add_special_token"),
+             py::arg("stride"),
+             py::arg("column"));
+
+    py::class_<mrc::segment::Object<PreprocessNLPStageCM>,
+               mrc::segment::ObjectProperties,
+               std::shared_ptr<mrc::segment::Object<PreprocessNLPStageCM>>>(
+        _module, "PreprocessNLPControlMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&PreprocessNLPStageInterfaceProxy::init_cm),
              py::arg("builder"),
              py::arg("name"),
              py::arg("vocab_hash_file"),
@@ -223,11 +293,22 @@ PYBIND11_MODULE(stages, _module)
              py::arg("lines")              = false,
              py::arg("stop_after")         = 0);
 
-    py::class_<mrc::segment::Object<SerializeStage>,
+    py::class_<mrc::segment::Object<SerializeStageMM>,
+               mrc::segment::ObjectProperties,
+               std::shared_ptr<mrc::segment::Object<SerializeStageMM>>>(
+        _module, "SerializeMultiMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&SerializeStageInterfaceProxy::init_mm),
+             py::arg("builder"),
+             py::arg("name"),
+             py::arg("include"),
+             py::arg("exclude"),
+             py::arg("fixed_columns") = true);
+
+    py::class_<mrc::segment::Object<SerializeStageCM>,
                mrc::segment::ObjectProperties,
-               std::shared_ptr<mrc::segment::Object<SerializeStage>>>(
-        _module, "SerializeStage", py::multiple_inheritance())
-        .def(py::init<>(&SerializeStageInterfaceProxy::init),
+               std::shared_ptr<mrc::segment::Object<SerializeStageCM>>>(
+        _module, "SerializeControlMessageStage", py::multiple_inheritance())
+        .def(py::init<>(&SerializeStageInterfaceProxy::init_cm),
              py::arg("builder"),
              py::arg("name"),
              py::arg("include"),
diff --git a/morpheus/_lib/tests/CMakeLists.txt b/morpheus/_lib/tests/CMakeLists.txt
index 3f21202e82..7e71bd2eb1 100644
--- a/morpheus/_lib/tests/CMakeLists.txt
+++ b/morpheus/_lib/tests/CMakeLists.txt
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,7 +20,6 @@ find_package(pybind11 REQUIRED)
 include(GoogleTest)
 
 # Cuda Test
-
 add_executable(test_cuda
   test_cuda.cu
 )
@@ -41,19 +40,11 @@ set_target_properties(test_cuda
     CUDA_STANDARD_REQUIRED ON
 )
 
-install(
-  TARGETS
-    test_cuda
-  RUNTIME DESTINATION
-    "${MORPHEUS_LIB_INSTALL_DIR}/tests"
-  COMPONENT Wheel
-)
-
 # Morpheus Test Utilities
-
 add_library(
   morpheus_test_utilities
     test_utils/common.cpp
+    test_utils/tensor_utils.cpp
 )
 
 target_link_libraries(
@@ -63,9 +54,14 @@ target_link_libraries(
     morpheus
 )
 
-# Morpheus Tests
+# Ensure that the python executable is defined for the tests
+target_compile_definitions(morpheus_test_utilities
+  PRIVATE
+    PYTHON_EXECUTABLE="${PYTHON_EXECUTABLE}"
+)
 
-function (add_morpheus_test)
+# Morpheus Tests
+function(add_morpheus_test)
   set(options)
   set(oneValueArgs NAME)
   set(multiValueArgs FILES)
@@ -82,6 +78,7 @@ function (add_morpheus_test)
       GTest::gtest_main
       morpheus_test_utilities
       pybind11::embed
+      TritonClient::httpclient_static
   )
 
   gtest_discover_tests(test_${MORPHEUS_TEST_NAME})
@@ -92,15 +89,6 @@ function (add_morpheus_test)
       CUDA_STANDARD 17
       CUDA_STANDARD_REQUIRED ON
   )
-
-  install(
-    TARGETS
-      test_${MORPHEUS_TEST_NAME}
-    RUNTIME DESTINATION
-      "${MORPHEUS_LIB_INSTALL_DIR}/tests"
-    COMPONENT Wheel
-  )
-
 endfunction()
 
 add_morpheus_test(
@@ -167,12 +155,27 @@ add_morpheus_test(
     test_multi_slices.cpp
 )
 
+add_morpheus_test(
+  NAME stages
+  FILES
+    stages/test_preprocess_nlp.cpp
+    stages/test_preprocess_fil.cpp
+    stages/test_add_scores.cpp
+    stages/test_add_classification.cpp
+)
+
 add_morpheus_test(
   NAME tensor
   FILES
     test_tensor.cpp
 )
 
+add_morpheus_test(
+  NAME triton_inference_stage
+  FILES
+    stages/test_triton_inference_stage.cpp
+)
+
 add_morpheus_test(
   NAME type_util
   FILES
diff --git a/morpheus/_lib/tests/io/test_data_loader.cpp b/morpheus/_lib/tests/io/test_data_loader.cpp
index c81d5186b5..c60dae5508 100644
--- a/morpheus/_lib/tests/io/test_data_loader.cpp
+++ b/morpheus/_lib/tests/io/test_data_loader.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,7 +25,7 @@
 
 #include <gtest/gtest.h>
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
+#include <pybind11/embed.h>
 #include <unistd.h>
 
 #include <cstdlib>
diff --git a/morpheus/_lib/tests/io/test_data_loader_registry.cpp b/morpheus/_lib/tests/io/test_data_loader_registry.cpp
index bd0c85c92d..bd8c0256e7 100644
--- a/morpheus/_lib/tests/io/test_data_loader_registry.cpp
+++ b/morpheus/_lib/tests/io/test_data_loader_registry.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -23,7 +23,7 @@
 
 #include <gtest/gtest.h>
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
+#include <pybind11/embed.h>
 
 #include <memory>
 #include <stdexcept>
@@ -55,12 +55,15 @@ TEST_F(TestDataLoaderRegistry, LoaderRegistryRegisterLoaderTest)
     // Should be able to overwrite an existing loader if we request it
     EXPECT_NO_THROW(LoaderRegistry::register_factory_fn(
         "LoaderRegistryRegisterLoaderTest",
-        [](nlohmann::json config) { return std::make_unique<PayloadDataLoader>(config); },
+        [](nlohmann::json config) {
+            return std::make_unique<PayloadDataLoader>(config);
+        },
         false));
 
-    EXPECT_THROW(LoaderRegistry::register_factory_fn(
-                     "LoaderRegistryRegisterLoaderTest",
-                     [](nlohmann::json config) { return std::make_unique<PayloadDataLoader>(config); }),
+    EXPECT_THROW(LoaderRegistry::register_factory_fn("LoaderRegistryRegisterLoaderTest",
+                                                     [](nlohmann::json config) {
+                                                         return std::make_unique<PayloadDataLoader>(config);
+                                                     }),
                  std::runtime_error);
 }
 
diff --git a/morpheus/_lib/tests/io/test_io.hpp b/morpheus/_lib/tests/io/test_io.hpp
index b849b42a0f..192651874c 100644
--- a/morpheus/_lib/tests/io/test_io.hpp
+++ b/morpheus/_lib/tests/io/test_io.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/tests/io/test_loaders.cpp b/morpheus/_lib/tests/io/test_loaders.cpp
index 441d91d3b7..67ae9a1c87 100644
--- a/morpheus/_lib/tests/io/test_loaders.cpp
+++ b/morpheus/_lib/tests/io/test_loaders.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -26,7 +26,7 @@
 
 #include <gtest/gtest.h>
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
+#include <pybind11/embed.h>
 #include <unistd.h>
 
 #include <cstdlib>
diff --git a/morpheus/_lib/tests/llm/test_llm_context.cpp b/morpheus/_lib/tests/llm/test_llm_context.cpp
index 4c4fff24c3..50d67492c3 100644
--- a/morpheus/_lib/tests/llm/test_llm_context.cpp
+++ b/morpheus/_lib/tests/llm/test_llm_context.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,23 +17,18 @@
 
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
 
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/input_map.hpp"
 #include "morpheus/llm/llm_context.hpp"
-#include "morpheus/llm/llm_lambda_node.hpp"
-#include "morpheus/llm/llm_node.hpp"
-#include "morpheus/llm/llm_node_runner.hpp"
 #include "morpheus/llm/llm_task.hpp"
-#include "morpheus/types.hpp"
+#include "morpheus/messages/control.hpp"
 
 #include <gtest/gtest.h>
 #include <mrc/channel/forward.hpp>
-#include <mrc/coroutines/sync_wait.hpp>
 #include <nlohmann/json.hpp>
 
-#include <coroutine>
 #include <memory>
 #include <stdexcept>
-#include <string>
 
 using namespace morpheus;
 using namespace morpheus::test;
@@ -341,4 +336,4 @@ TEST_F(TestLLMContext, MultipleInputMappingsBothInvalid)
     ASSERT_THROW(child_ctx.get_input("input1"), std::runtime_error);
     ASSERT_THROW(child_ctx.get_input("input2"), std::runtime_error);
     ASSERT_THROW(child_ctx.get_inputs(), std::runtime_error);
-}
\ No newline at end of file
+}
diff --git a/morpheus/_lib/tests/llm/test_llm_engine.cpp b/morpheus/_lib/tests/llm/test_llm_engine.cpp
index 5df25a372a..c33e7c1b03 100644
--- a/morpheus/_lib/tests/llm/test_llm_engine.cpp
+++ b/morpheus/_lib/tests/llm/test_llm_engine.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,6 +17,7 @@
 
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
 
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/llm_context.hpp"
 #include "morpheus/llm/llm_engine.hpp"
 #include "morpheus/llm/llm_lambda_node.hpp"
diff --git a/morpheus/_lib/tests/llm/test_llm_node.cpp b/morpheus/_lib/tests/llm/test_llm_node.cpp
index 24a11d0140..ccf7de8d13 100644
--- a/morpheus/_lib/tests/llm/test_llm_node.cpp
+++ b/morpheus/_lib/tests/llm/test_llm_node.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,7 +17,7 @@
 
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
 
-#include "morpheus/llm/input_map.hpp"
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/llm_context.hpp"
 #include "morpheus/llm/llm_lambda_node.hpp"
 #include "morpheus/llm/llm_node.hpp"
diff --git a/morpheus/_lib/tests/llm/test_llm_node_runner.cpp b/morpheus/_lib/tests/llm/test_llm_node_runner.cpp
index 7a16263077..a2256bb0bf 100644
--- a/morpheus/_lib/tests/llm/test_llm_node_runner.cpp
+++ b/morpheus/_lib/tests/llm/test_llm_node_runner.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,6 +17,7 @@
 
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
 
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/input_map.hpp"
 #include "morpheus/llm/llm_context.hpp"
 #include "morpheus/llm/llm_lambda_node.hpp"
@@ -34,6 +35,7 @@
 #include <memory>
 #include <stdexcept>
 #include <string>
+#include <tuple>
 
 using namespace morpheus;
 using namespace morpheus::test;
diff --git a/morpheus/_lib/tests/llm/test_llm_task.cpp b/morpheus/_lib/tests/llm/test_llm_task.cpp
index 4fe803a7ef..7f609995f4 100644
--- a/morpheus/_lib/tests/llm/test_llm_task.cpp
+++ b/morpheus/_lib/tests/llm/test_llm_task.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,6 +20,7 @@
 #include "morpheus/llm/llm_task.hpp"
 
 #include <gtest/gtest.h>
+#include <nlohmann/json.hpp>
 
 using namespace morpheus;
 using namespace morpheus::test;
diff --git a/morpheus/_lib/tests/llm/test_llm_task_handler_runner.cpp b/morpheus/_lib/tests/llm/test_llm_task_handler_runner.cpp
index 0466f918a2..c04f2ca3bf 100644
--- a/morpheus/_lib/tests/llm/test_llm_task_handler_runner.cpp
+++ b/morpheus/_lib/tests/llm/test_llm_task_handler_runner.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,24 +17,24 @@
 
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
 
+#include "morpheus/llm/fwd.hpp"
 #include "morpheus/llm/input_map.hpp"
 #include "morpheus/llm/llm_context.hpp"
-#include "morpheus/llm/llm_lambda_node.hpp"
-#include "morpheus/llm/llm_node.hpp"
-#include "morpheus/llm/llm_node_runner.hpp"
 #include "morpheus/llm/llm_task.hpp"
 #include "morpheus/llm/llm_task_handler.hpp"
 #include "morpheus/llm/llm_task_handler_runner.hpp"
+#include "morpheus/messages/control.hpp"
 #include "morpheus/types.hpp"
 
 #include <gtest/gtest.h>
 #include <mrc/channel/forward.hpp>
 #include <mrc/coroutines/sync_wait.hpp>
-#include <mrc/coroutines/task.hpp>
+#include <mrc/coroutines/task.hpp>  // IWYU pragma: keep
+#include <nlohmann/json.hpp>
 
 #include <coroutine>
 #include <memory>
-#include <stdexcept>
+#include <optional>
 #include <string>
 
 using namespace morpheus;
diff --git a/morpheus/_lib/tests/llm/test_utils.cpp b/morpheus/_lib/tests/llm/test_utils.cpp
index 75003488bd..10bc0b1013 100644
--- a/morpheus/_lib/tests/llm/test_utils.cpp
+++ b/morpheus/_lib/tests/llm/test_utils.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,19 +18,11 @@
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
 
 #include "morpheus/llm/input_map.hpp"
-#include "morpheus/llm/llm_context.hpp"
-#include "morpheus/llm/llm_lambda_node.hpp"
-#include "morpheus/llm/llm_node.hpp"
-#include "morpheus/llm/llm_node_runner.hpp"
-#include "morpheus/llm/llm_task.hpp"
 #include "morpheus/llm/utils.hpp"
 #include "morpheus/types.hpp"
 
 #include <gtest/gtest.h>
-#include <mrc/channel/forward.hpp>
-#include <mrc/coroutines/sync_wait.hpp>
 
-#include <coroutine>
 #include <memory>
 #include <stdexcept>
 #include <string>
diff --git a/morpheus/_lib/tests/messages/test_control_message.cpp b/morpheus/_lib/tests/messages/test_control_message.cpp
index 734707f1fb..11eb5353b2 100644
--- a/morpheus/_lib/tests/messages/test_control_message.cpp
+++ b/morpheus/_lib/tests/messages/test_control_message.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,21 +16,31 @@
  */
 
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
-#include "test_messages.hpp"
+#include "test_messages.hpp"         // for TestMessages
 
-#include "morpheus/messages/control.hpp"
-#include "morpheus/messages/meta.hpp"
+#include "morpheus/messages/control.hpp"               // for ControlMessage
+#include "morpheus/messages/memory/tensor_memory.hpp"  // for TensorMemory
+#include "morpheus/messages/meta.hpp"                  // for MessageMeta
 
-#include <gtest/gtest.h>
-#include <nlohmann/json.hpp>
+#include <gtest/gtest.h>      // for Message, TestPartResult, AssertionResult, TestInfo
+#include <nlohmann/json.hpp>  // for basic_json, json_ref, json
 
-#include <memory>
-#include <stdexcept>
-#include <string>
+#include <algorithm>  // for find
+#include <chrono>     // for system_clock
+#include <map>        // for map
+#include <memory>     // for allocator, make_shared, shared_ptr
+#include <optional>   // for optional
+#include <stdexcept>  // for runtime_error
+#include <string>     // for operator<=>, string, char_traits, basic_string
+#include <vector>     // for vector
 
 using namespace morpheus;
 using namespace morpheus::test;
 
+using clock_type_t = std::chrono::system_clock;
+
+using TestControlMessage = morpheus::test::TestMessages;  // NOLINT(readability-identifier-naming)
+
 TEST_F(TestControlMessage, InitializationTest)
 {
     auto msg_one = ControlMessage();
@@ -48,6 +58,76 @@ TEST_F(TestControlMessage, InitializationTest)
     ASSERT_EQ(msg_two.has_task("load"), true);
 }
 
+TEST_F(TestControlMessage, SetAndGetMetadata)
+{
+    auto msg = ControlMessage();
+
+    nlohmann::json value = {{"property", "value"}};
+    std::string key      = "testKey";
+
+    // Set metadata
+    msg.set_metadata(key, value);
+
+    // Verify metadata can be retrieved and matches what was set
+    EXPECT_TRUE(msg.has_metadata(key));
+    auto retrievedValue = msg.get_metadata(key, true);
+    EXPECT_EQ(value, retrievedValue);
+
+    // Verify listing metadata includes the key
+    auto keys = msg.list_metadata();
+    auto it   = std::find(keys.begin(), keys.end(), key);
+    EXPECT_NE(it, keys.end());
+}
+
+// Test for overwriting metadata
+TEST_F(TestControlMessage, OverwriteMetadata)
+{
+    auto msg = ControlMessage();
+
+    nlohmann::json value1 = {{"initial", "data"}};
+    nlohmann::json value2 = {{"updated", "data"}};
+    std::string key       = "overwriteKey";
+
+    // Set initial metadata
+    msg.set_metadata(key, value1);
+
+    // Overwrite metadata
+    msg.set_metadata(key, value2);
+
+    // Verify metadata was overwritten
+    auto retrievedValue = msg.get_metadata(key, false);
+    EXPECT_EQ(value2, retrievedValue);
+}
+
+// Test retrieving metadata when it does not exist
+TEST_F(TestControlMessage, GetNonexistentMetadata)
+{
+    auto msg = ControlMessage();
+
+    std::string key = "nonexistentKey";
+
+    // Attempt to retrieve metadata that does not exist
+    EXPECT_FALSE(msg.has_metadata(key));
+    EXPECT_THROW(auto const x = msg.get_metadata(key, true), std::runtime_error);
+    EXPECT_NO_THROW(auto const x = msg.get_metadata(key, false));  // Should not throw, but return empty json
+}
+
+// Test retrieving all metadata
+TEST_F(TestControlMessage, GetAllMetadata)
+{
+    auto msg = ControlMessage();
+
+    // Setup - add some metadata
+    msg.set_metadata("key1", {{"data", "value1"}});
+    msg.set_metadata("key2", {{"data", "value2"}});
+
+    // Retrieve all metadata
+    auto metadata = msg.get_metadata();
+    EXPECT_EQ(2, metadata.size());  // Assuming get_metadata() returns a json object with all metadata
+    EXPECT_TRUE(metadata.contains("key1"));
+    EXPECT_TRUE(metadata.contains("key2"));
+}
+
 TEST_F(TestControlMessage, SetMessageTest)
 {
     auto msg = ControlMessage();
@@ -131,4 +211,126 @@ TEST_F(TestControlMessage, PayloadTest)
     msg.payload(data_payload);
 
     ASSERT_EQ(msg.payload(), data_payload);
-}
\ No newline at end of file
+}
+
+TEST_F(TestControlMessage, SetAndGetTimestamp)
+{
+    auto msg = ControlMessage();
+
+    // Test setting a timestamp
+    auto start = clock_type_t::now();
+    msg.set_timestamp("group1::key1", start);
+
+    auto result = msg.get_timestamp("group1::key1", false);
+    ASSERT_TRUE(result.has_value());
+
+    // Direct comparison since we're using time points now
+    EXPECT_EQ(start, result.value());
+}
+
+TEST_F(TestControlMessage, GetTimestampWithRegex)
+{
+    auto start = clock_type_t::now();
+    auto msg   = ControlMessage();
+
+    // Set two timestamps slightly apart
+    msg.set_timestamp("group1::key1", start);
+    auto later = clock_type_t::now();
+    msg.set_timestamp("group1::key2", later);
+
+    auto result = msg.filter_timestamp("group1::key.*");
+    ASSERT_EQ(2, result.size());
+
+    // Check using the actual time points
+    EXPECT_EQ(start, result["group1::key1"]);
+    EXPECT_EQ(later, result["group1::key2"]);
+
+    auto resultSingle = msg.filter_timestamp("group1::key1");
+    ASSERT_EQ(1, resultSingle.size());
+    EXPECT_EQ(start, resultSingle["group1::key1"]);
+}
+
+TEST_F(TestControlMessage, GetTimestampNonExistentKey)
+{
+    auto msg = ControlMessage();
+
+    auto result = msg.get_timestamp("group1::nonexistent", false);
+    EXPECT_FALSE(result.has_value());
+
+    EXPECT_THROW(
+        {
+            try
+            {
+                msg.get_timestamp("group1::nonexistent", true);
+            } catch (const std::runtime_error& e)
+            {
+                EXPECT_STREQ("Timestamp for the specified key does not exist.", e.what());
+                throw;
+            }
+        },
+        std::runtime_error);
+}
+
+TEST_F(TestControlMessage, UpdateTimestamp)
+{
+    auto msg = ControlMessage();
+
+    auto start = clock_type_t::now();
+    msg.set_timestamp("group1::key1", start);
+    auto later = clock_type_t::now();
+    msg.set_timestamp("group1::key1", later);
+
+    auto result = msg.get_timestamp("group1::key1", false);
+    ASSERT_TRUE(result.has_value());
+
+    // Check using the actual time points for update
+    EXPECT_EQ(later, result.value());
+}
+
+// Test setting and getting Ten:sorMemory
+TEST_F(TestControlMessage, SetAndGetTensorMemory)
+{
+    auto msg = ControlMessage();
+
+    auto tensorMemory = std::make_shared<TensorMemory>(0);
+    // Optionally, modify tensorMemory here if it has any mutable state to test
+
+    // Set the tensor memory
+    msg.tensors(tensorMemory);
+
+    // Retrieve the tensor memory
+    auto retrievedTensorMemory = msg.tensors();
+
+    // Verify that the retrieved tensor memory matches what was set
+    EXPECT_EQ(tensorMemory, retrievedTensorMemory);
+}
+
+// Test setting TensorMemory to nullptr
+TEST_F(TestControlMessage, SetTensorMemoryToNull)
+{
+    auto msg = ControlMessage();
+
+    // Set tensor memory to a valid object first
+    msg.tensors(std::make_shared<TensorMemory>(0));
+
+    // Now set it to nullptr
+    msg.tensors(nullptr);
+
+    // Retrieve the tensor memory
+    auto retrievedTensorMemory = msg.tensors();
+
+    // Verify that the retrieved tensor memory is nullptr
+    EXPECT_EQ(nullptr, retrievedTensorMemory);
+}
+
+// Test retrieving TensorMemory when none has been set
+TEST_F(TestControlMessage, GetTensorMemoryWhenNoneSet)
+{
+    auto msg = ControlMessage();
+
+    // Attempt to retrieve tensor memory without setting it first
+    auto retrievedTensorMemory = msg.tensors();
+
+    // Verify that the retrieved tensor memory is nullptr
+    EXPECT_EQ(nullptr, retrievedTensorMemory);
+}
diff --git a/morpheus/_lib/tests/messages/test_dev_doc_ex3.cpp b/morpheus/_lib/tests/messages/test_dev_doc_ex3.cpp
index e73ea55570..397cd21c26 100644
--- a/morpheus/_lib/tests/messages/test_dev_doc_ex3.cpp
+++ b/morpheus/_lib/tests/messages/test_dev_doc_ex3.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -23,12 +23,10 @@
 #include "morpheus/utilities/cudf_util.hpp"  // for CudfHelper
 
 #include <gtest/gtest.h>
-#include <pybind11/cast.h>      // for cast
 #include <pybind11/gil.h>       // for gil_scoped_release, gil_scoped_acquire
 #include <pybind11/pybind11.h>  // IWYU pragma: keep
 #include <pybind11/pytypes.h>   // for object, object_api, literals
 
-#include <array>    // for array
 #include <memory>   // for shared_ptr
 #include <utility>  // for move
 
@@ -68,7 +66,7 @@ TEST_F(TestDevDocEx3, TestPyObjFromMultiMesg)
             auto df = mutable_info.checkout_obj();
 
             // Maka a copy of the original DataFrame
-            auto copied_df = df.attr("copy")("deep"_a = true);
+            auto copied_df = df->attr("copy")("deep"_a = true);
 
             // Now that we are done with `df` return it to the owner
             mutable_info.return_obj(std::move(df));
@@ -94,7 +92,7 @@ TEST_F(TestDevDocEx3, TestPyObjFromMultiMesg)
         auto result_df = result_mutable_info.checkout_obj();
 
         // orig_df.eq(result_df).all().all()
-        auto is_true = orig_df.attr("eq")(result_df).attr("all")().attr("all")();
+        auto is_true = orig_df->attr("eq")(*result_df).attr("all")().attr("all")();
         EXPECT_TRUE(is_true.cast<bool>());
 
         orig_mutable_info.return_obj(std::move(orig_df));
diff --git a/morpheus/_lib/tests/messages/test_message_meta.cpp b/morpheus/_lib/tests/messages/test_message_meta.cpp
new file mode 100644
index 0000000000..9724704c1c
--- /dev/null
+++ b/morpheus/_lib/tests/messages/test_message_meta.cpp
@@ -0,0 +1,67 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "../test_utils/common.hpp"  // IWYU pragma: associated
+#include "test_messages.hpp"
+
+#include "morpheus/io/deserializers.hpp"  // for load_table_from_file, prepare_df_index
+#include "morpheus/messages/meta.hpp"     // for MessageMeta and SlicedMessageMeta
+#include "morpheus/objects/rmm_tensor.hpp"
+#include "morpheus/objects/table_info.hpp"   // for TableInfo
+#include "morpheus/utilities/cudf_util.hpp"  // for CudfHelper
+
+#include <gtest/gtest.h>
+#include <mrc/cuda/common.hpp>
+#include <pybind11/gil.h>       // for gil_scoped_release, gil_scoped_acquire
+#include <pybind11/pybind11.h>  // IWYU pragma: keep
+
+#include <filesystem>  // for std::filesystem::path
+#include <memory>      // for shared_ptr
+#include <utility>     // for move
+
+using namespace morpheus;
+
+using TestMessageMeta = morpheus::test::TestMessages;  // NOLINT(readability-identifier-naming)
+
+TEST_F(TestMessageMeta, SetMetaWithColumnName)
+{
+    pybind11::gil_scoped_release no_gil;
+    auto test_data_dir               = test::get_morpheus_root() / "tests/tests_data";
+    std::filesystem::path input_file = test_data_dir / "csv_sample.csv";
+
+    auto table = load_table_from_file(input_file);
+    auto meta  = MessageMeta::create_from_cpp(std::move(table));
+
+    const std::size_t count = 3;
+    DType int_type(TypeId::INT64);
+    std::vector<int64_t> expected_ints{4, 5, 6};
+    auto buffer = std::make_shared<rmm::device_buffer>(count * int_type.item_size(), rmm::cuda_stream_per_thread);
+
+    MRC_CHECK_CUDA(cudaMemcpy(buffer->data(), expected_ints.data(), buffer->size(), cudaMemcpyHostToDevice));
+
+    ShapeType shape{3, 1};
+    auto tensor = std::make_shared<RMMTensor>(buffer, 0, int_type, shape);
+    TensorObject tensor_object(tensor);
+    meta->set_data("int", tensor_object);
+
+    std::vector<int64_t> actual_ints(expected_ints.size());
+
+    auto cm_int_meta = meta->get_info().get_column(0);
+    MRC_CHECK_CUDA(
+        cudaMemcpy(actual_ints.data(), cm_int_meta.data<int64_t>(), count * sizeof(int64_t), cudaMemcpyDeviceToHost));
+    EXPECT_EQ(expected_ints, actual_ints);
+}
diff --git a/morpheus/_lib/tests/messages/test_messages.hpp b/morpheus/_lib/tests/messages/test_messages.hpp
index 47706202e2..cf53f6ea2a 100644
--- a/morpheus/_lib/tests/messages/test_messages.hpp
+++ b/morpheus/_lib/tests/messages/test_messages.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,7 +19,26 @@
 
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
 
+#include "morpheus/utilities/cudf_util.hpp"  // for CudfHelper
+
+#include <pybind11/gil.h>
+
 namespace morpheus::test {
 
-using TestControlMessage = TestWithPythonInterpreter;  // NOLINT
-}  // namespace morpheus::test
\ No newline at end of file
+class TestMessages : public morpheus::test::TestWithPythonInterpreter
+{
+  protected:
+    void SetUp() override
+    {
+        morpheus::test::TestWithPythonInterpreter::SetUp();
+        {
+            pybind11::gil_scoped_acquire gil;
+
+            // Initially I ran into an issue bootstrapping cudf, I was able to work-around the issue, details in:
+            // https://github.com/rapidsai/cudf/issues/12862
+            CudfHelper::load();
+        }
+    }
+};
+
+}  // namespace morpheus::test
diff --git a/morpheus/_lib/tests/messages/test_sliced_message_meta.cpp b/morpheus/_lib/tests/messages/test_sliced_message_meta.cpp
index 12fc351e27..d7e18d3bd9 100644
--- a/morpheus/_lib/tests/messages/test_sliced_message_meta.cpp
+++ b/morpheus/_lib/tests/messages/test_sliced_message_meta.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,11 +16,11 @@
  */
 
 #include "../test_utils/common.hpp"  // IWYU pragma: associated
+#include "test_messages.hpp"
 
-#include "morpheus/io/deserializers.hpp"     // for load_table_from_file, prepare_df_index
-#include "morpheus/messages/meta.hpp"        // for MessageMeta and SlicedMessageMeta
-#include "morpheus/objects/table_info.hpp"   // for TableInfo
-#include "morpheus/utilities/cudf_util.hpp"  // for CudfHelper
+#include "morpheus/io/deserializers.hpp"    // for load_table_from_file, prepare_df_index
+#include "morpheus/messages/meta.hpp"       // for MessageMeta and SlicedMessageMeta
+#include "morpheus/objects/table_info.hpp"  // for TableInfo
 
 #include <gtest/gtest.h>
 #include <pybind11/gil.h>       // for gil_scoped_release, gil_scoped_acquire
@@ -32,21 +32,7 @@
 
 using namespace morpheus;
 
-class TestSlicedMessageMeta : public morpheus::test::TestWithPythonInterpreter
-{
-  protected:
-    void SetUp() override
-    {
-        morpheus::test::TestWithPythonInterpreter::SetUp();
-        {
-            pybind11::gil_scoped_acquire gil;
-
-            // Initially I ran into an issue bootstrapping cudf, I was able to work-around the issue, details in:
-            // https://github.com/rapidsai/cudf/issues/12862
-            CudfHelper::load();
-        }
-    }
-};
+using TestSlicedMessageMeta = morpheus::test::TestMessages;  // NOLINT(readability-identifier-naming)
 
 TEST_F(TestSlicedMessageMeta, TestCount)
 {
diff --git a/morpheus/_lib/tests/modules/test_data_loader_module.cpp b/morpheus/_lib/tests/modules/test_data_loader_module.cpp
index 0f0c0618ad..5615657d05 100644
--- a/morpheus/_lib/tests/modules/test_data_loader_module.cpp
+++ b/morpheus/_lib/tests/modules/test_data_loader_module.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -39,7 +39,6 @@
 
 #include <cstddef>
 #include <fstream>
-#include <map>
 #include <memory>
 #include <utility>
 
diff --git a/morpheus/_lib/tests/modules/test_modules.hpp b/morpheus/_lib/tests/modules/test_modules.hpp
index 94a9f3934d..453464462e 100644
--- a/morpheus/_lib/tests/modules/test_modules.hpp
+++ b/morpheus/_lib/tests/modules/test_modules.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/tests/stages/test_add_classification.cpp b/morpheus/_lib/tests/stages/test_add_classification.cpp
new file mode 100644
index 0000000000..8570edd7ac
--- /dev/null
+++ b/morpheus/_lib/tests/stages/test_add_classification.cpp
@@ -0,0 +1,137 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "../test_utils/common.hpp"  // for get_morpheus_root, TEST_CLASS, morpheus
+
+#include "morpheus/messages/control.hpp"               // for ControlMessage
+#include "morpheus/messages/memory/tensor_memory.hpp"  // for TensorMemory
+#include "morpheus/messages/meta.hpp"                  // for MessageMeta
+#include "morpheus/messages/multi_response.hpp"        // for MultiResponseMessage
+#include "morpheus/objects/dtype.hpp"                  // for DType
+#include "morpheus/objects/table_info.hpp"             // for TableInfo
+#include "morpheus/objects/tensor.hpp"                 // for Tensor
+#include "morpheus/stages/add_classification.hpp"      // for AddClassificationsStage
+#include "morpheus/types.hpp"                          // for TensorIndex
+
+#include <cuda_runtime.h>                      // for cudaMemcpy, cudaMemcpyKind
+#include <cudf/column/column_view.hpp>         // for column_view
+#include <cudf/io/csv.hpp>                     // for csv_reader_options_builder, read_csv, csv_reader_options
+#include <cudf/io/types.hpp>                   // for source_info, table_with_metadata
+#include <cudf/types.hpp>                      // for data_type
+#include <cudf/utilities/type_dispatcher.hpp>  // for type_to_id
+#include <gtest/gtest.h>                       // for EXPECT_EQ, Message, TestInfo, TestPartResult, TEST_F
+#include <mrc/cuda/common.hpp>                 // for __check_cuda_errors, MRC_CHECK_CUDA
+#include <pybind11/gil.h>                      // for gil_scoped_release
+#include <rmm/cuda_stream_view.hpp>            // for cuda_stream_per_thread
+#include <rmm/device_buffer.hpp>               // for device_buffer
+
+#include <cstddef>     // for size_t
+#include <cstdint>     // for uint8_t
+#include <filesystem>  // for operator/, path
+#include <map>         // for map
+#include <memory>      // for make_shared, allocator, __shared_ptr_access, shared_ptr
+#include <string>      // for string
+#include <utility>     // for move
+#include <vector>      // for vector
+
+using namespace morpheus;
+
+TEST_CLASS_WITH_PYTHON(AddClassification);
+
+template <typename T>
+auto convert_to_host(rmm::device_buffer& buffer)
+{
+    std::vector<T> host_buffer(buffer.size() / sizeof(T));
+
+    MRC_CHECK_CUDA(cudaMemcpy(host_buffer.data(), buffer.data(), buffer.size(), cudaMemcpyDeviceToHost));
+
+    return host_buffer;
+}
+
+TEST_F(TestAddClassification, TestProcessControlMessageAndMultiResponseMessage)
+{
+    pybind11::gil_scoped_release no_gil;
+    auto test_data_dir               = test::get_morpheus_root() / "tests/tests_data";
+    std::filesystem::path input_file = test_data_dir / "bools.csv";
+
+    TensorIndex cols_size  = 3;
+    TensorIndex mess_count = 3;
+
+    double threshold = 0.4;
+
+    auto packed_data_host = std::vector<double>{
+        0.1,
+        0.2,
+        0.3,  // All below
+        0.5,
+        0.0,
+        0.0,  // Only one above
+        0.7,
+        0.1,
+        0.9  // All above
+    };
+
+    auto packed_data = std::make_shared<rmm::device_buffer>(
+        packed_data_host.data(), cols_size * mess_count * sizeof(double), rmm::cuda_stream_per_thread);
+
+    cudf::io::csv_reader_options read_opts = cudf::io::csv_reader_options::builder(cudf::io::source_info(input_file))
+                                                 .dtypes({cudf::data_type(cudf::data_type{cudf::type_to_id<bool>()})})
+                                                 .header(0);
+    auto meta_mm = MessageMeta::create_from_cpp(cudf::io::read_csv(read_opts));
+
+    std::map<std::size_t, std::string> idx2label = {{0, "bool"}};
+
+    // Create MultiResponseMessage
+    auto tensor        = Tensor::create(packed_data, DType::create<double>(), {mess_count, cols_size}, {}, 0);
+    auto tensor_memory = std::make_shared<TensorMemory>(mess_count);
+    tensor_memory->set_tensor("probs", std::move(tensor));
+    auto mm = std::make_shared<MultiResponseMessage>(std::move(meta_mm), 0, mess_count, std::move(tensor_memory));
+
+    // Create PreProcessMultiMessageStage
+    auto mm_stage    = std::make_shared<AddClassificationsStageMM>(idx2label, 0.4);
+    auto mm_response = mm_stage->on_data(mm);
+
+    // Create a separate dataframe from a file (otherwise they will overwrite eachother)
+    auto meta_cm = MessageMeta::create_from_cpp(cudf::io::read_csv(read_opts));
+
+    // Create ControlMessage
+    auto cm = std::make_shared<ControlMessage>();
+    cm->payload(std::move(meta_cm));
+    auto cm_tensor        = Tensor::create(packed_data, DType::create<double>(), {mess_count, cols_size}, {}, 0);
+    auto cm_tensor_memory = std::make_shared<TensorMemory>(mess_count);
+    cm_tensor_memory->set_tensor("probs", std::move(cm_tensor));
+    cm->tensors(cm_tensor_memory);
+
+    // Create PreProcessControlMessageStage
+    auto cm_stage    = std::make_shared<AddClassificationsStageCM>(idx2label, 0.4);
+    auto cm_response = cm_stage->on_data(cm);
+
+    // Verify the output meta
+    std::vector<uint8_t> expected_meta = {'\0', '\x1', '\x1'};
+    auto mm_meta                       = mm_response->get_meta().get_column(0);
+    auto cm_meta                       = cm_response->payload()->get_info().get_column(0);
+
+    // std::vector<bool> is a template specialization which does not have data() method, use std::vector<uint8_t> here
+    std::vector<uint8_t> mm_meta_host(mm_meta.size());
+    std::vector<uint8_t> cm_meta_host(cm_meta.size());
+    MRC_CHECK_CUDA(
+        cudaMemcpy(mm_meta_host.data(), mm_meta.data<bool>(), mm_meta.size() * sizeof(bool), cudaMemcpyDeviceToHost));
+    MRC_CHECK_CUDA(
+        cudaMemcpy(cm_meta_host.data(), cm_meta.data<bool>(), cm_meta.size() * sizeof(bool), cudaMemcpyDeviceToHost));
+    EXPECT_EQ(mm_meta_host, expected_meta);
+    EXPECT_EQ(mm_meta_host, cm_meta_host);
+}
diff --git a/morpheus/_lib/tests/stages/test_add_scores.cpp b/morpheus/_lib/tests/stages/test_add_scores.cpp
new file mode 100644
index 0000000000..1bfd3a79b1
--- /dev/null
+++ b/morpheus/_lib/tests/stages/test_add_scores.cpp
@@ -0,0 +1,118 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "../test_utils/common.hpp"  // for get_morpheus_root, TEST_CLASS, morpheus
+#include "../test_utils/tensor_utils.hpp"
+
+#include "morpheus/io/deserializers.hpp"               // for load_table_from_file
+#include "morpheus/messages/control.hpp"               // for ControlMessage
+#include "morpheus/messages/memory/tensor_memory.hpp"  // for TensorMemory
+#include "morpheus/messages/meta.hpp"                  // for MessageMeta
+#include "morpheus/messages/multi_response.hpp"        // for MultiResponseMessage
+#include "morpheus/objects/dtype.hpp"                  // for DType
+#include "morpheus/objects/table_info.hpp"             // for TableInfo
+#include "morpheus/objects/tensor.hpp"                 // for Tensor
+#include "morpheus/stages/add_scores.hpp"              // for AddScoresStage
+#include "morpheus/stages/preallocate.hpp"
+#include "morpheus/types.hpp"  // for TensorIndex
+
+#include <gtest/gtest.h>             // for EXPECT_EQ, Message, TestInfo, TestPartResult, TEST_F
+#include <pybind11/gil.h>            // for gil_scoped_release
+#include <rmm/cuda_stream_view.hpp>  // for cuda_stream_per_thread
+#include <rmm/device_buffer.hpp>     // for device_buffer
+
+#include <cstddef>     // for size_t
+#include <filesystem>  // for operator/, path
+#include <map>         // for map
+#include <memory>      // for make_shared, allocator, __shared_ptr_access, shared_ptr
+#include <string>      // for string
+#include <tuple>
+#include <utility>  // for move
+#include <vector>   // for vector
+
+using namespace morpheus::test;
+
+using namespace morpheus;
+
+TEST_CLASS_WITH_PYTHON(AddScores);
+
+TEST_F(TestAddScores, TestProcessControlMessageAndMultiResponseMessage)
+{
+    pybind11::gil_scoped_release no_gil;
+    auto test_data_dir               = test::get_morpheus_root() / "tests/tests_data";
+    std::filesystem::path input_file = test_data_dir / "floats.csv";
+
+    TensorIndex cols_size  = 2;
+    TensorIndex mess_count = 3;
+
+    auto packed_data_host = std::vector<double>{
+        0.1,
+        1.0,
+        0,
+        23456,
+        1.4013e-45,
+        9.3e5,
+    };
+
+    auto packed_data = std::make_shared<rmm::device_buffer>(
+        packed_data_host.data(), cols_size * mess_count * sizeof(double), rmm::cuda_stream_per_thread);
+
+    // Create a dataframe from a file
+    auto meta_mm = MessageMeta::create_from_cpp(load_table_from_file(input_file));
+    preallocate(meta_mm, {{"colA", TypeId::FLOAT64}, {"colB", TypeId::FLOAT64}});
+
+    std::map<std::size_t, std::string> idx2label = {{0, "colA"}, {1, "colB"}};
+
+    // Create MultiResponseMessage
+    auto tensor        = Tensor::create(packed_data, DType::create<double>(), {mess_count, cols_size}, {}, 0);
+    auto tensor_memory = std::make_shared<TensorMemory>(mess_count);
+    tensor_memory->set_tensor("probs", std::move(tensor));
+    auto mm = std::make_shared<MultiResponseMessage>(std::move(meta_mm), 0, mess_count, std::move(tensor_memory));
+
+    // Create PreProcessMultiMessageStage
+    auto mm_stage    = std::make_shared<AddScoresStageMM>(idx2label);
+    auto mm_response = mm_stage->on_data(mm);
+
+    // Create a separate dataframe from a file (otherwise they will overwrite eachother)
+    auto meta_cm = MessageMeta::create_from_cpp(load_table_from_file(input_file));
+    preallocate(meta_cm, {{"colA", TypeId::FLOAT64}, {"colB", TypeId::FLOAT64}});
+
+    // Create ControlMessage
+    auto cm = std::make_shared<ControlMessage>();
+    cm->payload(std::move(meta_cm));
+    auto cm_tensor        = Tensor::create(packed_data, DType::create<double>(), {mess_count, cols_size}, {}, 0);
+    auto cm_tensor_memory = std::make_shared<TensorMemory>(mess_count);
+    cm_tensor_memory->set_tensor("probs", std::move(cm_tensor));
+    cm->tensors(cm_tensor_memory);
+
+    // Create PreProcessControlMessageStage
+    auto cm_stage    = std::make_shared<AddScoresStageCM>(idx2label);
+    auto cm_response = cm_stage->on_data(cm);
+
+    // Verify the output meta
+    std::vector<double> expected_colA = {0.1, 0, 1.4013e-45};
+    std::vector<double> expected_colB = {1.0, 23456, 9.3e5};
+
+    auto mm_table = mm_response->get_meta(std::vector<std::string>{"colA", "colB"});
+    auto cm_table = cm_response->payload()->get_info(std::vector<std::string>{"colA", "colB"});
+
+    assert_eq_device_to_host(mm_table.get_column(0), expected_colA);
+    assert_eq_device_to_host(mm_table.get_column(1), expected_colB);
+
+    assert_eq_device_to_host(cm_table.get_column(0), expected_colA);
+    assert_eq_device_to_host(cm_table.get_column(1), expected_colB);
+}
diff --git a/morpheus/_lib/tests/stages/test_preprocess_fil.cpp b/morpheus/_lib/tests/stages/test_preprocess_fil.cpp
new file mode 100644
index 0000000000..d290a81c3e
--- /dev/null
+++ b/morpheus/_lib/tests/stages/test_preprocess_fil.cpp
@@ -0,0 +1,99 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "../test_utils/common.hpp"  // for get_morpheus_root, TEST_CLASS, morpheus
+
+#include "morpheus/io/deserializers.hpp"               // for load_table_from_file
+#include "morpheus/messages/control.hpp"               // for ControlMessage
+#include "morpheus/messages/memory/tensor_memory.hpp"  // for TensorMemory
+#include "morpheus/messages/meta.hpp"                  // for MessageMeta
+#include "morpheus/messages/multi.hpp"                 // for MultiMessage
+#include "morpheus/messages/multi_inference.hpp"       // for MultiInferenceMessage
+#include "morpheus/objects/tensor_object.hpp"          // for TensorObject
+#include "morpheus/stages/preprocess_fil.hpp"          // for PreprocessFILStage, PreprocessFILStageCC, PreprocessFI...
+#include "morpheus/types.hpp"                          // for TensorIndex
+
+#include <cuda_runtime.h>       // for cudaMemcpy, cudaMemcpyKind
+#include <gtest/gtest.h>        // for EXPECT_EQ, Message, TestPartResult, TestInfo, TEST_F
+#include <mrc/cuda/common.hpp>  // for __check_cuda_errors, MRC_CHECK_CUDA
+#include <pybind11/gil.h>       // for gil_scoped_release
+
+#include <filesystem>  // for path, operator/
+#include <memory>      // for allocator, make_shared, __shared_ptr_access, shared_ptr
+#include <string>      // for string
+#include <utility>     // for move
+#include <vector>      // for vector
+
+using namespace morpheus;
+
+TEST_CLASS_WITH_PYTHON(PreprocessFIL);
+
+TEST_F(TestPreprocessFIL, TestProcessControlMessageAndMultiMessage)
+{
+    pybind11::gil_scoped_release no_gil;
+    auto test_data_dir               = test::get_morpheus_root() / "tests/tests_data";
+    std::filesystem::path input_file = test_data_dir / "float_str.csv";
+
+    // Create a dataframe from a file
+    auto cm_table = load_table_from_file(input_file);
+    auto cm_meta  = MessageMeta::create_from_cpp(std::move(cm_table));
+
+    auto mm_table = load_table_from_file(input_file);
+    auto mm_meta  = MessageMeta::create_from_cpp(std::move(mm_table));
+
+    // Create ControlMessage
+    auto cm = std::make_shared<ControlMessage>();
+    cm->payload(cm_meta);
+
+    // Create PreProcessControlMessageStage
+    auto cm_stage    = std::make_shared<PreprocessFILStageCM>(std::vector<std::string>{"float_str1", "float_str2"});
+    auto cm_response = cm_stage->on_data(cm);
+
+    // Create MultiMessage
+    auto mm = std::make_shared<MultiMessage>(mm_meta);
+    // Create PreProcessMultiMessageStage
+    auto mm_stage    = std::make_shared<PreprocessFILStageMM>(std::vector<std::string>{"float_str1", "float_str2"});
+    auto mm_response = mm_stage->on_data(mm);
+
+    auto cm_tensors = cm_response->tensors();
+    auto mm_tensors = mm_response->memory;
+
+    // Verify output tensors
+    std::vector<float> expected_input__0 = {1, 4, 2, 5, 3, 6};
+    auto cm_input__0                     = cm_tensors->get_tensor("input__0");
+    auto mm_input__0                     = mm_tensors->get_tensor("input__0");
+    std::vector<float> cm_input__0_host(cm_input__0.count());
+    std::vector<float> mm_input__0_host(mm_input__0.count());
+    MRC_CHECK_CUDA(cudaMemcpy(
+        cm_input__0_host.data(), cm_input__0.data(), cm_input__0.count() * sizeof(float), cudaMemcpyDeviceToHost));
+    MRC_CHECK_CUDA(cudaMemcpy(
+        mm_input__0_host.data(), mm_input__0.data(), mm_input__0.count() * sizeof(float), cudaMemcpyDeviceToHost));
+    EXPECT_EQ(expected_input__0, cm_input__0_host);
+    EXPECT_EQ(cm_input__0_host, mm_input__0_host);
+
+    std::vector<TensorIndex> expected_seq_ids = {0, 0, 1, 1, 0, 1, 2, 0, 1};
+    auto cm_seq_ids                           = cm_tensors->get_tensor("seq_ids");
+    auto mm_seq_ids                           = mm_tensors->get_tensor("seq_ids");
+    std::vector<TensorIndex> cm_seq_ids_host(cm_seq_ids.count());
+    std::vector<TensorIndex> mm_seq_ids_host(mm_seq_ids.count());
+    MRC_CHECK_CUDA(cudaMemcpy(
+        cm_seq_ids_host.data(), cm_seq_ids.data(), cm_seq_ids.count() * sizeof(TensorIndex), cudaMemcpyDeviceToHost));
+    MRC_CHECK_CUDA(cudaMemcpy(
+        mm_seq_ids_host.data(), mm_seq_ids.data(), mm_seq_ids.count() * sizeof(TensorIndex), cudaMemcpyDeviceToHost));
+    EXPECT_EQ(expected_seq_ids, cm_seq_ids_host);
+    EXPECT_EQ(cm_seq_ids_host, mm_seq_ids_host);
+}
diff --git a/morpheus/_lib/tests/stages/test_preprocess_nlp.cpp b/morpheus/_lib/tests/stages/test_preprocess_nlp.cpp
new file mode 100644
index 0000000000..229c593c18
--- /dev/null
+++ b/morpheus/_lib/tests/stages/test_preprocess_nlp.cpp
@@ -0,0 +1,129 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "../test_utils/common.hpp"  // for get_morpheus_root, TestWithPythonInterpreter, morpheus
+
+#include "morpheus/io/deserializers.hpp"               // for load_table_from_file
+#include "morpheus/messages/control.hpp"               // for ControlMessage
+#include "morpheus/messages/memory/tensor_memory.hpp"  // for TensorMemory
+#include "morpheus/messages/meta.hpp"                  // for MessageMeta
+#include "morpheus/messages/multi.hpp"                 // for MultiMessage
+#include "morpheus/messages/multi_inference.hpp"       // for MultiInferenceMessage
+#include "morpheus/objects/tensor_object.hpp"          // for TensorObject
+#include "morpheus/stages/preprocess_nlp.hpp"          // for PreprocessNLPStage, PreprocessNLPStageCC, PreprocessNL...
+#include "morpheus/types.hpp"                          // for TensorIndex
+
+#include <cuda_runtime.h>       // for cudaMemcpy, cudaMemcpyKind
+#include <gtest/gtest.h>        // for EXPECT_EQ, Message, TestPartResult, TestInfo, TEST_F
+#include <mrc/cuda/common.hpp>  // for __check_cuda_errors, MRC_CHECK_CUDA
+#include <pybind11/gil.h>       // for gil_scoped_acquire, gil_scoped_release
+
+#include <cstdint>     // for int32_t
+#include <filesystem>  // for operator/, path
+#include <memory>      // for allocator, make_shared, __shared_ptr_access, shared_ptr
+#include <utility>     // for move
+#include <vector>      // for vector
+
+using namespace morpheus;
+
+TEST_CLASS_WITH_PYTHON(PreprocessNLP);
+
+TEST_F(TestPreprocessNLP, TestProcessControlMessageAndMultiMessage)
+{
+    pybind11::gil_scoped_release no_gil;
+    auto test_data_dir               = test::get_morpheus_root() / "tests/tests_data";
+    std::filesystem::path input_file = test_data_dir / "countries_sample.csv";
+
+    auto test_vocab_hash_file_dir         = test::get_morpheus_root() / "morpheus/data";
+    std::filesystem::path vocab_hash_file = test_vocab_hash_file_dir / "bert-base-cased-hash.txt";
+
+    // Create a dataframe from a file
+    auto table = load_table_from_file(input_file);
+    auto meta  = MessageMeta::create_from_cpp(std::move(table));
+
+    // Create ControlMessage
+    auto cm = std::make_shared<ControlMessage>();
+    cm->payload(meta);
+
+    // Create PreProcessControlMessageStage
+    auto cm_stage = std::make_shared<PreprocessNLPStageCM>(vocab_hash_file /*vocab_hash_file*/,
+                                                           1 /*sequence_length*/,
+                                                           false /*truncation*/,
+                                                           false /*do_lower_case*/,
+                                                           false /*add_special_token*/,
+                                                           1 /*stride*/,
+                                                           "country" /*column*/);
+
+    auto cm_response = cm_stage->on_data(cm);
+
+    // Create MultiMessage
+    auto mm = std::make_shared<MultiMessage>(meta);
+
+    // Create PreProcessMultiMessageStage
+    auto mm_stage    = std::make_shared<PreprocessNLPStageMM>(vocab_hash_file /*vocab_hash_file*/,
+                                                           1 /*sequence_length*/,
+                                                           false /*truncation*/,
+                                                           false /*do_lower_case*/,
+                                                           false /*add_special_token*/,
+                                                           1 /*stride*/,
+                                                           "country" /*column*/);
+    auto mm_response = mm_stage->on_data(mm);
+
+    auto cm_tensors = cm_response->tensors();
+    auto mm_tensors = mm_response->memory;
+
+    // Verify output tensors
+    std::vector<int32_t> expected_input_ids = {6469, 10278, 11347, 1262, 27583, 13833};
+    auto cm_input_ids                       = cm_tensors->get_tensor("input_ids");
+    auto mm_input_ids                       = mm_tensors->get_tensor("input_ids");
+    std::vector<int32_t> cm_input_ids_host(cm_input_ids.count());
+    std::vector<int32_t> mm_input_ids_host(mm_input_ids.count());
+    MRC_CHECK_CUDA(cudaMemcpy(
+        cm_input_ids_host.data(), cm_input_ids.data(), cm_input_ids.count() * sizeof(int32_t), cudaMemcpyDeviceToHost));
+    MRC_CHECK_CUDA(cudaMemcpy(
+        mm_input_ids_host.data(), mm_input_ids.data(), mm_input_ids.count() * sizeof(int32_t), cudaMemcpyDeviceToHost));
+    EXPECT_EQ(expected_input_ids, cm_input_ids_host);
+    EXPECT_EQ(cm_input_ids_host, mm_input_ids_host);
+
+    std::vector<int32_t> expected_input_mask = {1, 1, 1, 1, 1, 1};
+    auto cm_input_mask                       = cm_tensors->get_tensor("input_mask");
+    auto mm_input_mask                       = mm_tensors->get_tensor("input_mask");
+    std::vector<int32_t> cm_input_mask_host(cm_input_mask.count());
+    std::vector<int32_t> mm_input_mask_host(mm_input_mask.count());
+    MRC_CHECK_CUDA(cudaMemcpy(cm_input_mask_host.data(),
+                              cm_input_mask.data(),
+                              cm_input_mask.count() * sizeof(int32_t),
+                              cudaMemcpyDeviceToHost));
+    MRC_CHECK_CUDA(cudaMemcpy(mm_input_mask_host.data(),
+                              mm_input_mask.data(),
+                              mm_input_mask.count() * sizeof(int32_t),
+                              cudaMemcpyDeviceToHost));
+    EXPECT_EQ(expected_input_mask, cm_input_mask_host);
+    EXPECT_EQ(cm_input_mask_host, mm_input_mask_host);
+
+    std::vector<int32_t> expected_seq_ids = {0, 0, 0, 1, 0, 0, 2, 0, 0, 3, 0, 0, 3, 0, 0, 4, 0, 0};
+    auto cm_seq_ids                       = cm_tensors->get_tensor("seq_ids");
+    auto mm_seq_ids                       = mm_tensors->get_tensor("seq_ids");
+    std::vector<TensorIndex> cm_seq_ids_host(cm_seq_ids.count());
+    std::vector<TensorIndex> mm_seq_ids_host(mm_seq_ids.count());
+    MRC_CHECK_CUDA(cudaMemcpy(
+        cm_seq_ids_host.data(), cm_seq_ids.data(), cm_seq_ids.count() * sizeof(TensorIndex), cudaMemcpyDeviceToHost));
+    MRC_CHECK_CUDA(cudaMemcpy(
+        mm_seq_ids_host.data(), mm_seq_ids.data(), mm_seq_ids.count() * sizeof(TensorIndex), cudaMemcpyDeviceToHost));
+    EXPECT_EQ(expected_seq_ids, cm_seq_ids_host);
+    EXPECT_EQ(cm_seq_ids_host, mm_seq_ids_host);
+}
diff --git a/morpheus/_lib/tests/stages/test_triton_inference_stage.cpp b/morpheus/_lib/tests/stages/test_triton_inference_stage.cpp
new file mode 100644
index 0000000000..c7a566b011
--- /dev/null
+++ b/morpheus/_lib/tests/stages/test_triton_inference_stage.cpp
@@ -0,0 +1,343 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "../test_utils/common.hpp"  // IWYU pragma: associated
+
+#include "morpheus/messages/memory/tensor_memory.hpp"
+#include "morpheus/messages/meta.hpp"
+#include "morpheus/messages/multi_inference.hpp"
+#include "morpheus/messages/multi_response.hpp"
+#include "morpheus/objects/dtype.hpp"
+#include "morpheus/objects/tensor.hpp"
+#include "morpheus/objects/tensor_object.hpp"
+#include "morpheus/stages/inference_client_stage.hpp"
+#include "morpheus/stages/triton_inference.hpp"
+#include "morpheus/types.hpp"
+#include "morpheus/utilities/cudf_util.hpp"
+
+#include <cuda_runtime.h>
+#include <cudf/column/column.hpp>
+#include <cudf/column/column_factories.hpp>
+#include <cudf/column/column_view.hpp>
+#include <cudf/io/types.hpp>
+#include <cudf/table/table.hpp>
+#include <cudf/types.hpp>
+#include <cudf/utilities/type_dispatcher.hpp>
+#include <gtest/gtest.h>
+#include <http_client.h>
+#include <mrc/coroutines/task.hpp>
+#include <mrc/coroutines/test_scheduler.hpp>
+#include <pybind11/gil.h>
+#include <rmm/cuda_stream_view.hpp>
+#include <rmm/device_buffer.hpp>
+
+#include <cstdint>
+#include <functional>
+#include <map>
+#include <memory>
+#include <numeric>
+#include <stdexcept>
+#include <unordered_map>
+#include <utility>
+
+class FakeInferResult : public triton::client::InferResult
+{
+  private:
+    std::map<std::string, std::vector<int32_t>> m_output_values;
+
+  public:
+    FakeInferResult(std::map<std::string, std::vector<int32_t>> output_values) :
+      m_output_values(std::move(output_values))
+    {}
+
+    triton::client::Error RequestStatus() const override
+    {
+        throw std::runtime_error("RequestStatus not implemented");
+    }
+
+    std::string DebugString() const override
+    {
+        throw std::runtime_error("DebugString not implemented");
+    }
+
+    triton::client::Error Id(std::string* id) const override
+    {
+        throw std::runtime_error("Id not implemented");
+    }
+
+    triton::client::Error ModelName(std::string* name) const override
+    {
+        throw std::runtime_error("ModelName not implemented");
+    }
+
+    triton::client::Error ModelVersion(std::string* version) const override
+    {
+        throw std::runtime_error("ModelVersion not implemented");
+    }
+
+    triton::client::Error Shape(const std::string& output_name, std::vector<int64_t>* shape) const override
+    {
+        shape = new std::vector<int64_t>({0, 0});  // this is technically a leak
+
+        return triton::client::Error::Success;
+    }
+
+    triton::client::Error Datatype(const std::string& output_name, std::string* datatype) const override
+    {
+        throw std::runtime_error("Datatype not implemented");
+    }
+
+    triton::client::Error StringData(const std::string& output_name,
+                                     std::vector<std::string>* string_result) const override
+    {
+        throw std::runtime_error("StringData not implemented");
+    }
+
+    triton::client::Error RawData(const std::string& output_name, const uint8_t** buf, size_t* byte_size) const override
+    {
+        auto& output = m_output_values.at(output_name);
+        *byte_size   = output.size() * sizeof(int32_t);
+        *buf         = reinterpret_cast<uint8_t*>(const_cast<int32_t*>(output.data()));
+        return triton::client::Error::Success;
+    }
+};
+
+class FakeTritonClient : public morpheus::ITritonClient
+{
+  private:
+    bool m_is_server_live_has_errored  = false;
+    bool m_is_server_live              = false;
+    bool m_is_server_ready_has_errored = false;
+    bool m_is_server_ready             = false;
+    bool m_is_model_ready_has_errored  = false;
+    bool m_is_model_ready              = false;
+    bool m_model_config_has_errored    = false;
+    bool m_model_metadata_has_errored  = false;
+    bool m_async_infer_has_errored     = false;
+
+  public:
+    triton::client::Error is_server_live(bool* live) override
+    {
+        if (not m_is_server_live_has_errored)
+        {
+            m_is_server_live_has_errored = true;
+            return triton::client::Error("is_server_live error");
+        }
+
+        *live = m_is_server_live;
+
+        if (not m_is_server_live)
+        {
+            m_is_server_live = true;
+        }
+
+        return triton::client::Error::Success;
+    }
+
+    triton::client::Error is_server_ready(bool* ready) override
+    {
+        if (not m_is_server_ready_has_errored)
+        {
+            m_is_server_ready_has_errored = true;
+            return triton::client::Error("is_server_ready error");
+        }
+
+        *ready = m_is_server_live;
+
+        if (not m_is_server_ready)
+        {
+            m_is_server_ready = true;
+        }
+
+        return triton::client::Error::Success;
+    }
+
+    triton::client::Error is_model_ready(bool* ready, std::string& model_name) override
+    {
+        if (not m_is_model_ready_has_errored)
+        {
+            m_is_model_ready_has_errored = true;
+            return triton::client::Error("is_model_ready error");
+        }
+
+        *ready = m_is_model_ready;
+
+        if (not m_is_model_ready)
+        {
+            m_is_model_ready = true;
+        }
+
+        return triton::client::Error::Success;
+    }
+
+    triton::client::Error model_config(std::string* model_config, std::string& model_name) override
+    {
+        if (not m_model_config_has_errored)
+        {
+            m_model_config_has_errored = true;
+            return triton::client::Error("model_config error");
+        }
+
+        *model_config = R"({
+            "max_batch_size": 100
+        })";
+
+        return triton::client::Error::Success;
+    }
+
+    triton::client::Error model_metadata(std::string* model_metadata, std::string& model_name) override
+    {
+        if (not m_model_metadata_has_errored)
+        {
+            m_model_metadata_has_errored = true;
+            return triton::client::Error("model_metadata error");
+        }
+
+        *model_metadata = R"({
+            "inputs":[
+                {
+                    "name":"seq_ids",
+                    "shape": [0, 1],
+                    "datatype":"INT32"
+                }
+            ],
+            "outputs":[
+                {
+                    "name":"seq_ids",
+                    "shape": [0, 1],
+                    "datatype":"INT32"
+                }
+            ]})";
+
+        return triton::client::Error::Success;
+    }
+
+    triton::client::Error async_infer(triton::client::InferenceServerHttpClient::OnCompleteFn callback,
+                                      const triton::client::InferOptions& options,
+                                      const std::vector<morpheus::TritonInferInput>& inputs,
+                                      const std::vector<morpheus::TritonInferRequestedOutput>& outputs) override
+    {
+        if (not m_async_infer_has_errored)
+        {
+            m_async_infer_has_errored = true;
+            return triton::client::Error("async_infer error");
+        }
+
+        callback(new FakeInferResult({{"seq_ids", std::vector<int32_t>({0, 1, 2, 3, 4, 5, 6, 7, 8, 9})}}));
+
+        return triton::client::Error::Success;
+    }
+};
+
+class TestTritonInferenceStage : public morpheus::test::TestWithPythonInterpreter
+{
+  protected:
+    void SetUp() override
+    {
+        morpheus::test::TestWithPythonInterpreter::SetUp();
+        {
+            pybind11::gil_scoped_acquire gil;
+
+            // Initially I ran into an issue bootstrapping cudf, I was able to work-around the issue, details in:
+            // https://github.com/rapidsai/cudf/issues/12862
+            morpheus::CudfHelper::load();
+        }
+    }
+};
+
+cudf::io::table_with_metadata create_test_table_with_metadata(uint32_t rows)
+{
+    cudf::data_type cudf_data_type{cudf::type_to_id<int>()};
+
+    auto column = cudf::make_fixed_width_column(cudf_data_type, rows);
+
+    std::vector<int> data(rows);
+    std::iota(data.begin(), data.end(), 0);
+
+    cudaMemcpy(column->mutable_view().data<int>(),
+               data.data(),
+               data.size() * sizeof(int),
+               cudaMemcpyKind::cudaMemcpyHostToDevice);
+
+    std::vector<std::unique_ptr<cudf::column>> columns;
+
+    columns.emplace_back(std::move(column));
+
+    auto table = std::make_unique<cudf::table>(std::move(columns));
+
+    auto index_info   = cudf::io::column_name_info{""};
+    auto column_names = std::vector<cudf::io::column_name_info>({{index_info}});
+    auto metadata     = cudf::io::table_metadata{std::move(column_names), {}, {}};
+
+    return cudf::io::table_with_metadata{std::move(table), metadata};
+}
+
+TEST_F(TestTritonInferenceStage, SingleRow)
+{
+    cudf::data_type cudf_data_type{cudf::type_to_id<int>()};
+
+    const std::size_t count = 10;
+    const auto dtype        = morpheus::DType::create<int>();
+
+    // Create a 10-number sequence id vector and store them in the tensor.
+    auto buffer = std::make_shared<rmm::device_buffer>(count * dtype.item_size(), rmm::cuda_stream_per_thread);
+    std::vector<int> seq_ids({0, 1, 2, 3, 4, 5, 6, 7, 8, 9});
+    cudaMemcpy(buffer->data(), seq_ids.data(), count * sizeof(int), cudaMemcpyKind::cudaMemcpyHostToDevice);
+    auto tensors = morpheus::TensorMap();
+    tensors["seq_ids"].swap(morpheus::Tensor::create(buffer, dtype, {count, 1}, {}));
+
+    // create the MultiInferenceMessage using the sequence id tensor.
+    auto memory  = std::make_shared<morpheus::TensorMemory>(count, std::move(tensors));
+    auto table   = create_test_table_with_metadata(count);
+    auto meta    = morpheus::MessageMeta::create_from_cpp(std::move(table), 1);
+    auto message = std::make_shared<morpheus::MultiInferenceMessage>(meta, 0, count, memory);
+
+    // create the fake triton client used for testing.
+    auto triton_client           = std::make_unique<FakeTritonClient>();
+    auto triton_inference_client = std::make_unique<morpheus::TritonInferenceClient>(std::move(triton_client), "");
+    auto stage = morpheus::InferenceClientStage(std::move(triton_inference_client), "", false, {}, {});
+
+    // manually invoke the stage and iterate through the inference responses
+    auto on           = std::make_shared<mrc::coroutines::TestScheduler>();
+    auto results_task = [](auto& stage, auto message, auto on)
+        -> mrc::coroutines::Task<std::vector<std::shared_ptr<morpheus::MultiResponseMessage>>> {
+        std::vector<std::shared_ptr<morpheus::MultiResponseMessage>> results;
+
+        auto responses_generator = stage.on_data(std::move(message), on);
+
+        auto iter = co_await responses_generator.begin();
+
+        while (iter != responses_generator.end())
+        {
+            results.emplace_back(std::move(*iter));
+
+            co_await ++iter;
+        }
+
+        co_return results;
+    }(stage, message, on);
+
+    results_task.resume();
+
+    while (on->resume_next()) {}
+
+    ASSERT_NO_THROW(results_task.promise().result());
+
+    auto results = results_task.promise().result();
+
+    ASSERT_EQ(results.size(), 1);
+}
diff --git a/morpheus/_lib/tests/test_cuda.cu b/morpheus/_lib/tests/test_cuda.cu
index 5ec0114454..3627e641c5 100644
--- a/morpheus/_lib/tests/test_cuda.cu
+++ b/morpheus/_lib/tests/test_cuda.cu
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/tests/test_deserializers.cpp b/morpheus/_lib/tests/test_deserializers.cpp
index 9829f297d8..128f8eae7b 100644
--- a/morpheus/_lib/tests/test_deserializers.cpp
+++ b/morpheus/_lib/tests/test_deserializers.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/tests/test_dev_mem_info.cpp b/morpheus/_lib/tests/test_dev_mem_info.cpp
index a9ef0c5d31..8b0a8b8a65 100644
--- a/morpheus/_lib/tests/test_dev_mem_info.cpp
+++ b/morpheus/_lib/tests/test_dev_mem_info.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,6 +22,7 @@
 #include "morpheus/objects/memory_descriptor.hpp"
 #include "morpheus/types.hpp"  // for ShapeType, TensorIndex
 
+#include <cuda/memory_resource>
 #include <gtest/gtest.h>  // for AssertionResult, SuiteApiResolver, TestInfo, EXPECT_TRUE, Message, TEST_F, Test, TestFactoryImpl, TestPartResult
 #include <rmm/cuda_stream_view.hpp>
 #include <rmm/device_buffer.hpp>
@@ -33,7 +34,6 @@
 
 #include <cstddef>  // for size_t
 #include <memory>   // shared_ptr
-#include <vector>   // for vector
 // IWYU pragma: no_include "thrust/iterator/iterator_facade.h"
 // IWYU pragma: no_include <unordered_map>
 
@@ -86,7 +86,8 @@ TEST_F(TestDevMemInfo, RmmBufferConstructor)
     EXPECT_EQ(dm.data(), static_cast<u_int8_t*>(buffer->data()) + Dtype.item_size());
 
     EXPECT_EQ(dm.memory()->cuda_stream, rmm::cuda_stream_legacy);
-    EXPECT_EQ(dm.memory()->memory_resource, mem_resource.get());
+    EXPECT_EQ(dm.memory()->memory_resource,
+              static_cast<cuda::mr::async_resource_ref<cuda::mr::device_accessible>>(mem_resource.get()));
 }
 
 TEST_F(TestDevMemInfo, VoidPtrConstructor)
@@ -122,7 +123,8 @@ TEST_F(TestDevMemInfo, VoidPtrConstructor)
     EXPECT_EQ(dm.data(), static_cast<u_int8_t*>(buffer->data()) + Dtype.item_size());
 
     EXPECT_EQ(dm.memory()->cuda_stream, rmm::cuda_stream_legacy);
-    EXPECT_EQ(dm.memory()->memory_resource, mem_resource.get());
+    EXPECT_EQ(dm.memory()->memory_resource,
+              static_cast<cuda::mr::async_resource_ref<cuda::mr::device_accessible>>(mem_resource.get()));
 }
 
 TEST_F(TestDevMemInfo, MakeNewBuffer)
@@ -137,5 +139,6 @@ TEST_F(TestDevMemInfo, MakeNewBuffer)
     auto new_buff               = dm.make_new_buffer(buff_size);
     EXPECT_EQ(new_buff->size(), buff_size);
     EXPECT_EQ(new_buff->stream(), rmm::cuda_stream_legacy);
-    EXPECT_EQ(new_buff->memory_resource(), mem_resource.get());
+    EXPECT_EQ(new_buff->memory_resource(),
+              static_cast<cuda::mr::async_resource_ref<cuda::mr::device_accessible>>(mem_resource.get()));
 }
diff --git a/morpheus/_lib/tests/test_file_in_out.cpp b/morpheus/_lib/tests/test_file_in_out.cpp
index 6f8a89c685..552e5bb8a7 100644
--- a/morpheus/_lib/tests/test_file_in_out.cpp
+++ b/morpheus/_lib/tests/test_file_in_out.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -32,7 +32,6 @@
 #include <filesystem>
 #include <fstream>  // IWYU pragma: keep
 #include <memory>   // for shared_ptr
-#include <sstream>  // for stringstream
 #include <string>
 #include <utility>  // for move
 #include <vector>
diff --git a/morpheus/_lib/tests/test_matx_util.cpp b/morpheus/_lib/tests/test_matx_util.cpp
index 11dce22fad..0adea89898 100644
--- a/morpheus/_lib/tests/test_matx_util.cpp
+++ b/morpheus/_lib/tests/test_matx_util.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/tests/test_multi_slices.cpp b/morpheus/_lib/tests/test_multi_slices.cpp
index 3752b5d039..94506ba7d1 100644
--- a/morpheus/_lib/tests/test_multi_slices.cpp
+++ b/morpheus/_lib/tests/test_multi_slices.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/tests/test_tensor.cpp b/morpheus/_lib/tests/test_tensor.cpp
index 16db893ccc..dd6dbc96ae 100644
--- a/morpheus/_lib/tests/test_tensor.cpp
+++ b/morpheus/_lib/tests/test_tensor.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,6 +25,7 @@
 #include "morpheus/types.hpp"                      // for ShapeType, TensorIndex
 #include "morpheus/utilities/tensor_util.hpp"      // for TensorUtils
 
+#include <cuda/memory_resource>
 #include <cuda_runtime.h>
 #include <gtest/gtest.h>  // for AssertionResult, SuiteApiResolver, TestInfo, EXPECT_TRUE, Message, TEST_F, Test, TestFactoryImpl, TestPartResult
 #include <mrc/cuda/common.hpp>
@@ -36,6 +37,7 @@
 #include <memory>   // shared_ptr
 #include <string>   // for allocator, operator==, basic_string, string
 #include <vector>   // for vector
+
 // IWYU pragma: no_include "morpheus/utilities/string_util.hpp"
 // IWYU thinks we need ext/new_allocator.h for size_t for some reason
 // IWYU pragma: no_include <ext/new_allocator.h>
@@ -150,7 +152,9 @@ TEST_F(TestTensor, Create)
 
     EXPECT_NE(tensor.get_memory(), nullptr);
     EXPECT_EQ(tensor.get_memory()->cuda_stream, rmm::cuda_stream_per_thread);
-    EXPECT_EQ(tensor.get_memory()->memory_resource, rmm::mr::get_current_device_resource());
+    EXPECT_EQ(
+        tensor.get_memory()->memory_resource,
+        static_cast<cuda::mr::async_resource_ref<cuda::mr::device_accessible>>(rmm::mr::get_current_device_resource()));
 }
 
 TEST_F(TestTensor, UtilsValidateShapeAndStride)
diff --git a/morpheus/_lib/tests/test_type_util.cpp b/morpheus/_lib/tests/test_type_util.cpp
index 5da4afa93a..521a704bb0 100644
--- a/morpheus/_lib/tests/test_type_util.cpp
+++ b/morpheus/_lib/tests/test_type_util.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/_lib/tests/test_utils/common.cpp b/morpheus/_lib/tests/test_utils/common.cpp
index 05eb1cbe14..1c8eb86fa8 100644
--- a/morpheus/_lib/tests/test_utils/common.cpp
+++ b/morpheus/_lib/tests/test_utils/common.cpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2018-2023, NVIDIA CORPORATION &
+ * SPDX-FileCopyrightText: Copyright (c) 2018-2024, NVIDIA CORPORATION &
  * AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -23,31 +23,37 @@
 #include "morpheus/io/loaders/payload.hpp"
 #include "morpheus/io/loaders/rest.hpp"
 #include "morpheus/messages/meta.hpp"
+#include "morpheus/utilities/cudf_util.hpp"
 #include "morpheus/utilities/string_util.hpp"
 
+#include <cpython/initconfig.h>  // for PyStatus_Exception, PyConfig_Clear, PyConfig_InitPythonConfig
 #include <nlohmann/json.hpp>
-#include <pybind11/cast.h>
-#include <pybind11/embed.h>
 #include <pybind11/gil.h>
 #include <pybind11/pybind11.h>
 #include <pybind11/pytypes.h>
+#include <pylifecycle.h>  // for Py_InitializeFromConfig
 
-#include <array>
 #include <cassert>
+#include <codecvt>  // for codecvt_utf8_utf16
 #include <cstdlib>
 #include <ctime>
 #include <filesystem>
+#include <locale>
 #include <sstream>
 #include <stdexcept>
 #include <utility>
 
+#ifndef PYTHON_EXECUTABLE
+    #error PYTHON_EXECUTABLE must be defined to run tests
+#endif
+
 namespace morpheus::test {
 
 bool TestWithPythonInterpreter::m_initialized = false;
 
 void TestWithPythonInterpreter::SetUp()
 {
-    initialize_interpreter();
+    this->initialize_interpreter();
 
     LoaderRegistry::register_factory_fn(
         "file",
@@ -73,6 +79,11 @@ void TestWithPythonInterpreter::SetUp()
             return std::make_unique<RESTDataLoader>(config);
         },
         false);
+
+    pybind11::gil_scoped_acquire gil;
+
+    // Ensure that the cudf helpers are loaded so we can convert dataframes to MessageMeta
+    CudfHelper::load();
 }
 
 void TestWithPythonInterpreter::TearDown() {}
@@ -81,7 +92,43 @@ void TestWithPythonInterpreter::initialize_interpreter() const
 {
     if (!m_initialized)
     {
-        pybind11::initialize_interpreter();
+        using namespace std::string_literals;
+
+        // NOTE: We manually initialize the Python interpreter here because we need to specify the Python executable to
+        // use in order to enable virtual environments. Otherwise, the Python interpreter will be initialized with the
+        // default executable, which may not be the one we want to use (and will make it difficult to discover why tests
+        // are failing).
+        PyConfig config;
+        PyConfig_InitPythonConfig(&config);
+
+        // Create a wstring from the PYTHON_EXECUTABLE string
+        std::wstring_convert<std::codecvt_utf8_utf16<wchar_t>> converter;
+
+        auto python_exe_w = converter.from_bytes(PYTHON_EXECUTABLE);
+
+        // Set the program name to the python executable to ensure any virtualenvs are loaded correctly
+        PyStatus status = PyConfig_SetString(&config, &config.program_name, python_exe_w.data());
+        if (PyStatus_Exception(status))
+        {
+            throw std::runtime_error("Failed to set Python program name to "s + PYTHON_EXECUTABLE);
+        }
+
+        // Load the remainder of the configuration
+        status = PyConfig_Read(&config);
+        if (PyStatus_Exception(status))
+        {
+            throw std::runtime_error("Failed to read Python configuration");
+        }
+
+        status = Py_InitializeFromConfig(&config);
+        if (PyStatus_Exception(status))
+        {
+            throw std::runtime_error("Failed to initialize Python interpreter");
+        }
+
+        // Cleanup the configuration object
+        PyConfig_Clear(&config);
+
         m_initialized = true;
     }
 }
diff --git a/morpheus/_lib/tests/test_utils/common.hpp b/morpheus/_lib/tests/test_utils/common.hpp
index e7e4d66981..5413b1f898 100644
--- a/morpheus/_lib/tests/test_utils/common.hpp
+++ b/morpheus/_lib/tests/test_utils/common.hpp
@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-FileCopyrightText: Copyright (c) 2018-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -32,6 +32,10 @@
         void SetUp() override {}                                                     \
     }
 
+#define TEST_CLASS_WITH_PYTHON(name)                                                                           \
+    class __attribute__((visibility("default"))) Test##name : public morpheus::test::TestWithPythonInterpreter \
+    {}
+
 namespace morpheus {
 class MessageMeta;
 }
diff --git a/morpheus/_lib/doca/include/common.hpp b/morpheus/_lib/tests/test_utils/tensor_utils.cpp
similarity index 52%
rename from morpheus/_lib/doca/include/common.hpp
rename to morpheus/_lib/tests/test_utils/tensor_utils.cpp
index 3072413b9e..a5e65ef994 100644
--- a/morpheus/_lib/doca/include/common.hpp
+++ b/morpheus/_lib/tests/test_utils/tensor_utils.cpp
@@ -1,6 +1,6 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
- * SPDX-License-Identifier: Apache-2.0
+ * SPDX-FileCopyrightText: Copyright (c) 2018-2024, NVIDIA CORPORATION &
+ * AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -15,15 +15,6 @@
  * limitations under the License.
  */
 
-#pragma once
+#include "./tensor_utils.hpp"
 
-#include <cstdint>
-
-uint32_t const PACKETS_PER_THREAD   = 4;
-uint32_t const THREADS_PER_BLOCK    = 512;
-uint32_t const PACKETS_PER_BLOCK    = PACKETS_PER_THREAD * THREADS_PER_BLOCK;
-uint32_t const PACKET_RX_TIMEOUT_NS = 5000;
-
-uint32_t const MAX_PKT_RECEIVE = PACKETS_PER_BLOCK;
-uint32_t const MAX_PKT_SIZE    = 8192;
-uint32_t const MAX_PKT_NUM     = 65536;
+namespace morpheus::test {}  // namespace morpheus::test
diff --git a/morpheus/_lib/tests/test_utils/tensor_utils.hpp b/morpheus/_lib/tests/test_utils/tensor_utils.hpp
new file mode 100644
index 0000000000..d7896607e2
--- /dev/null
+++ b/morpheus/_lib/tests/test_utils/tensor_utils.hpp
@@ -0,0 +1,84 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2018-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include <cuda_runtime.h>  // for cudaMemcpy, cudaMemcpyKind
+#include <cudf/column/column_view.hpp>
+#include <cudf/types.hpp>  // for data_type
+#include <cudf/utilities/type_dispatcher.hpp>
+#include <glog/logging.h>  // IWYU pragma: keep
+#include <gtest/gtest.h>   // IWYU pragma: keep
+#include <mrc/cuda/common.hpp>
+#include <rmm/device_buffer.hpp>
+
+#include <ostream>  // for char_traits, operator<<, basic_ostream
+#include <vector>
+
+namespace morpheus::test {
+
+template <typename T>
+auto convert_to_host(const rmm::device_buffer& buffer)
+{
+    std::vector<T> host_buffer(buffer.size() / sizeof(T));
+
+    MRC_CHECK_CUDA(cudaMemcpy(host_buffer.data(), buffer.data(), buffer.size(), cudaMemcpyDeviceToHost));
+
+    return host_buffer;
+}
+
+template <typename T>
+auto convert_to_host(const cudf::column_view& buffer)
+{
+    CHECK(buffer.type().id() == cudf::type_to_id<T>()) << "Column has different type than requested";
+
+    std::vector<T> host_buffer(buffer.size());
+
+    MRC_CHECK_CUDA(cudaMemcpy(host_buffer.data(), buffer.data<T>(), buffer.size() * sizeof(T), cudaMemcpyDeviceToHost));
+
+    return host_buffer;
+}
+
+template <typename T>
+void assert_eq_device_to_host(const rmm::device_buffer& device, const std::vector<T>& host)
+{
+    std::vector<T> device_on_host = convert_to_host<T>(device);
+
+    ASSERT_EQ(device_on_host, host);
+}
+
+template <typename T>
+void assert_eq_device_to_host(const cudf::column_view& device, const std::vector<T>& host)
+{
+    std::vector<T> device_on_host = convert_to_host<T>(device);
+
+    ASSERT_EQ(device_on_host, host);
+}
+
+template <typename T>
+void assert_eq_device_to_device(const cudf::column_view& device1, const cudf::column_view& device2)
+{
+    ASSERT_EQ(device1.size(), device2.size()) << "Columns have different sizes";
+    ASSERT_EQ(device1.type(), device2.type()) << "Columns have different types";
+
+    std::vector<T> device1_on_host = convert_to_host<T>(device1);
+    std::vector<T> device2_on_host = convert_to_host<T>(device2);
+
+    ASSERT_EQ(device1_on_host, device2_on_host);
+}
+
+}  // namespace morpheus::test
diff --git a/morpheus/cli/__init__.py b/morpheus/cli/__init__.py
index de500e2a3c..5d12ee93d5 100644
--- a/morpheus/cli/__init__.py
+++ b/morpheus/cli/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/cli/click_completion_tools.py b/morpheus/cli/click_completion_tools.py
index dbf17af413..47abda295b 100644
--- a/morpheus/cli/click_completion_tools.py
+++ b/morpheus/cli/click_completion_tools.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/cli/commands.py b/morpheus/cli/commands.py
index 99df8e1ff5..b8a64b4135 100644
--- a/morpheus/cli/commands.py
+++ b/morpheus/cli/commands.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -288,13 +288,22 @@ def install(**kwargs):
               type=bool,
               help=("Whether or not to use C++ node and message types or to prefer python. "
                     "Only use as a last resort if bugs are encountered"))
+@click.option('--manual_seed',
+              default=None,
+              type=click.IntRange(min=1),
+              envvar="MORPHEUS_MANUAL_SEED",
+              help=("Manually seed the random number generators used by Morpheus, useful for testing."))
 @prepare_command(parse_config=True)
 def run(ctx: click.Context, **kwargs):
     """Run subcommand, used for running a pipeline"""
     # Since the option isnt the same name as `should_use_cpp` anymore, manually set the value here.
     CppConfig.set_should_use_cpp(kwargs.pop("use_cpp", CppConfig.get_should_use_cpp()))
 
-    pass
+    manual_seed_val = kwargs.pop("manual_seed", None)
+    if manual_seed_val is not None:
+        from morpheus.utils.seed import manual_seed
+        logger.debug("Manually seeding random number generators to %d", manual_seed_val)
+        manual_seed(manual_seed_val)
 
 
 @click.group(chain=True,
@@ -675,7 +684,7 @@ def post_pipeline(ctx: click.Context, *args, **kwargs):
             "morpheus.stages.inference.auto_encoder_inference_stage.AutoEncoderInferenceStage",
             modes=AE_ONLY)
 add_command("inf-pytorch", "morpheus.stages.inference.pytorch_inference_stage.PyTorchInferenceStage", modes=NOT_AE)
-add_command("inf-triton", "morpheus.stages.inference.triton_inference_stage.TritonInferenceStage", modes=ALL)
+add_command("inf-triton", "morpheus.stages.inference.triton_inference_stage.TritonInferenceStage", modes=NOT_AE)
 add_command("mlflow-drift", "morpheus.stages.postprocess.ml_flow_drift_stage.MLFlowDriftStage", modes=NOT_AE)
 add_command("monitor", "morpheus.stages.general.monitor_stage.MonitorStage", modes=ALL)
 add_command("preprocess", "morpheus.stages.preprocess.preprocess_ae_stage.PreprocessAEStage", modes=AE_ONLY)
diff --git a/morpheus/cli/default_command_hooks.py b/morpheus/cli/default_command_hooks.py
index 835698d0a8..a4672135bb 100644
--- a/morpheus/cli/default_command_hooks.py
+++ b/morpheus/cli/default_command_hooks.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,6 +24,8 @@
 
 class DefaultCommandHooks:
 
+    # pylint:disable=no-value-for-parameter
+
     @hookimpl
     def morpheus_cli_collect_stage_names(self, mode: PipelineModes) -> typing.List[str]:
 
diff --git a/morpheus/cli/hookspecs.py b/morpheus/cli/hookspecs.py
index 0d2d5ec4c3..2126f985f5 100644
--- a/morpheus/cli/hookspecs.py
+++ b/morpheus/cli/hookspecs.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -23,6 +23,8 @@
 
 hookspec = pluggy.HookspecMarker("morpheus")
 
+# pylint:disable=unused-argument
+
 
 @hookspec
 def morpheus_cli_collect_stages(registry: StageRegistry):
diff --git a/morpheus/cli/plugin_manager.py b/morpheus/cli/plugin_manager.py
index 728b389bc3..d15ee70417 100644
--- a/morpheus/cli/plugin_manager.py
+++ b/morpheus/cli/plugin_manager.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -56,8 +56,8 @@ def _get_plugin_specs_as_list(self, specs: PluginSpec) -> typing.List[str]:
         # Direct specification.
         if isinstance(specs, collections.abc.Sequence):
             return list(specs)
-        raise RuntimeError("Plugins may be specified as a sequence or a ','-separated string of plugin names. Got: %r" %
-                           specs)
+        raise RuntimeError(
+            f"Plugins may be specified as a sequence or a ','-separated string of plugin names. Got: {specs}")
 
     def _ensure_plugins_loaded(self):
 
@@ -68,22 +68,23 @@ def _ensure_plugins_loaded(self):
         self.add_plugin_option(os.environ.get("MORPHEUS_PLUGINS"))
 
         # Loop over all specs and load the plugins
-        for s in self._plugin_specs:
+        for spec in self._plugin_specs:
             try:
-                if os.path.exists(s):
-                    mod_name = os.path.splitext(os.path.basename(s))[0]
-                    spec = importlib.util.spec_from_file_location(mod_name, s)
+                if os.path.exists(spec):
+                    mod_name = os.path.splitext(os.path.basename(spec))[0]
+                    spec = importlib.util.spec_from_file_location(mod_name, spec)
                     mod = importlib.util.module_from_spec(spec)
                     sys.modules[mod_name] = mod
                     spec.loader.exec_module(mod)
                 else:
-                    mod = importlib.import_module(s)
+                    mod = importlib.import_module(spec)
 
                 # Sucessfully loaded. Register
                 self._pm.register(mod)
 
             except ImportError as e:
-                raise ImportError(f'Error importing plugin "{s}": {e.args[0]}').with_traceback(e.__traceback__) from e
+                raise ImportError(f'Error importing plugin "{spec}": {e.args[0]}').with_traceback(
+                    e.__traceback__) from e
 
         # Finally, consider setuptools entrypoints
         self._pm.load_setuptools_entrypoints("morpheus")
@@ -104,6 +105,7 @@ def get_registered_stages(self) -> StageRegistry:
             self._stage_registry = GlobalStageRegistry.get()
 
             # Now call the plugin system to add stages as necessary
+            # pylint: disable=no-member
             self._pm.hook.morpheus_cli_collect_stages(registry=self._stage_registry)
 
         return self._stage_registry
diff --git a/morpheus/cli/register_stage.py b/morpheus/cli/register_stage.py
index 49e01c7248..d0c5a78925 100644
--- a/morpheus/cli/register_stage.py
+++ b/morpheus/cli/register_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -211,6 +211,11 @@ def set_options_param_type(options_kwargs: dict, annotation, doc_type: str):
         else:
             options_kwargs["type"] = annotation
 
+    elif (issubtype(annotation, dict)):
+        options_kwargs["multiple"] = True
+        options_kwargs["type"] = click.Tuple([str, str])
+        options_kwargs["callback"] = lambda ctx, param, value: dict(value)
+
     else:
         options_kwargs["type"] = annotation
 
@@ -265,7 +270,10 @@ def register_stage_inner(stage_class: _DecoratorType) -> _DecoratorType:
 
         nonlocal command_name
 
-        if (not hasattr(stage_class, "_morpheus_registered_stage")):
+        # A subclass of a stage that is already registered with the CLI will already have this attribute set,
+        # but the command name won't match.
+        if (not hasattr(stage_class, "_morpheus_registered_stage")
+                or stage_class._morpheus_registered_stage.name != command_name):
 
             # Determine the command name if it wasnt supplied
             if (command_name is None):
diff --git a/morpheus/cli/run.py b/morpheus/cli/run.py
index eb4d4e1bb6..ebd2b3c932 100644
--- a/morpheus/cli/run.py
+++ b/morpheus/cli/run.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -16,7 +16,7 @@
 
 def run_cli():
     """Main entrypoint for the CLI"""
-    from morpheus.cli.commands import cli
+    from morpheus.cli.commands import cli  # pylint: disable=cyclic-import
     cli(obj={}, auto_envvar_prefix='MORPHEUS', show_default=True, prog_name="morpheus")
 
 
diff --git a/morpheus/cli/stage_registry.py b/morpheus/cli/stage_registry.py
index d867154abc..12f0e55e5d 100644
--- a/morpheus/cli/stage_registry.py
+++ b/morpheus/cli/stage_registry.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -34,7 +34,7 @@ class StageInfo:
     def __post_init__(self):
         # If modes is None or empty, then convert it to all modes
         if (self.modes is None or len(self.modes) == 0):
-            self.modes = [x for x in PipelineModes]
+            self.modes = set(PipelineModes)
 
     def supports_mode(self, mode: PipelineModes):
         if (mode is None):
@@ -79,9 +79,8 @@ def _lazy_build(self):
         stage_class_info: StageInfo = getattr(stage_class, "_morpheus_registered_stage", None)
 
         if (stage_class_info is None):
-            raise RuntimeError(
-                "Class {} did not have attribute '_morpheus_registered_stage'. Did you use register_stage?".format(
-                    self.qualified_name))
+            raise RuntimeError(f"Class {self.qualified_name} did not have attribute '_morpheus_registered_stage'. \
+                Did you use register_stage?")
 
         return stage_class_info.build_command()
 
@@ -105,16 +104,16 @@ def _add_stage_info(self, mode: PipelineModes, stage: StageInfo):
         mode_stages = self._get_stages_for_mode(mode)
 
         if (stage.name in mode_stages):
-            # TODO: Figure out if this is something that only the unittests encounter
-            logging.debug("The stage '{}' has already been added for mode: {}".format(stage.name, mode))
+            # TODO(MDD): Figure out if this is something that only the unittests encounter
+            logging.debug("The stage %s has already been added for mode: %s", stage.name, mode)
 
         mode_stages[stage.name] = stage
 
     def add_stage_info(self, stage: StageInfo):
 
         # Loop over all modes for the stage
-        for m in stage.modes:
-            self._add_stage_info(m, stage)
+        for mode in stage.modes:
+            self._add_stage_info(mode, stage)
 
     def get_stage_info(self, stage_name: str, mode: PipelineModes = None, raise_missing=False) -> StageInfo:
 
@@ -122,9 +121,9 @@ def get_stage_info(self, stage_name: str, mode: PipelineModes = None, raise_miss
 
         if (stage_name not in mode_registered_stags):
             if (raise_missing):
-                raise RuntimeError("Could not find stage '{}' in registry".format(stage_name))
-            else:
-                return None
+                raise RuntimeError(f"Could not find stage '{stage_name}' in registry")
+
+            return None
 
         stage_info = mode_registered_stags[stage_name]
 
@@ -134,10 +133,9 @@ def get_stage_info(self, stage_name: str, mode: PipelineModes = None, raise_miss
 
         # Found but no match on mode
         if (raise_missing):
-            raise RuntimeError("Found stage '{}' in registry, but it does not support pipeline mode: {}".format(
-                stage_name, mode))
-        else:
-            return None
+            raise RuntimeError("Found stage '{stage_name}' in registry, but it does not support pipeline mode: {mode}")
+
+        return None
 
     def get_registered_names(self, mode: PipelineModes = None) -> typing.List[str]:
 
@@ -154,16 +152,16 @@ def _remove_stage_info(self, mode: PipelineModes, stage: StageInfo):
         mode_stages = self._get_stages_for_mode(mode)
 
         if (stage.name not in mode_stages):
-            # TODO: Figure out if this is something that only the unittests encounter
-            logging.debug("The stage '{}' has already been added for mode: {}".format(stage.name, mode))
+            # TODO(MDD): Figure out if this is something that only the unittests encounter
+            logging.debug("The stage '%s' has already been added for mode: %s", stage.name, mode)
 
         mode_stages.pop(stage.name)
 
     def remove_stage_info(self, stage: StageInfo):
 
         # Loop over all modes for the stage
-        for m in stage.modes:
-            self._remove_stage_info(m, stage)
+        for mode in stage.modes:
+            self._remove_stage_info(mode, stage)
 
 
 class GlobalStageRegistry:
diff --git a/morpheus/cli/utils.py b/morpheus/cli/utils.py
index 8552b37e94..bdb7989acb 100644
--- a/morpheus/cli/utils.py
+++ b/morpheus/cli/utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/common/__init__.py b/morpheus/common/__init__.py
index b600ffd556..01b1d97ba0 100644
--- a/morpheus/common/__init__.py
+++ b/morpheus/common/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
diff --git a/morpheus/config.py b/morpheus/config.py
index b6a6077770..074d1515aa 100644
--- a/morpheus/config.py
+++ b/morpheus/config.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/controllers/__init__.py b/morpheus/controllers/__init__.py
index 081b2ae826..66061e580b 100644
--- a/morpheus/controllers/__init__.py
+++ b/morpheus/controllers/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/controllers/elasticsearch_controller.py b/morpheus/controllers/elasticsearch_controller.py
index 058ad5ee7c..53aa0ef129 100644
--- a/morpheus/controllers/elasticsearch_controller.py
+++ b/morpheus/controllers/elasticsearch_controller.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,19 +17,17 @@
 
 import pandas as pd
 
-from morpheus.utils.verify_dependencies import _verify_deps
-
 logger = logging.getLogger(__name__)
 
-REQUIRED_DEPS = ('ESConnectionError', 'Elasticsearch', 'parallel_bulk')
+IMPORT_EXCEPTION = None
 IMPORT_ERROR_MESSAGE = "ElasticsearchController requires the elasticsearch package to be installed."
 
 try:
     from elasticsearch import ConnectionError as ESConnectionError
     from elasticsearch import Elasticsearch
     from elasticsearch.helpers import parallel_bulk
-except ImportError:
-    pass
+except ImportError as import_exc:
+    IMPORT_EXCEPTION = import_exc
 
 
 class ElasticsearchController:
@@ -47,7 +45,9 @@ class ElasticsearchController:
     """
 
     def __init__(self, connection_kwargs: dict, raise_on_exception: bool = False, refresh_period_secs: int = 2400):
-        _verify_deps(REQUIRED_DEPS, IMPORT_ERROR_MESSAGE, globals())
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
         self._client = None
         self._last_refresh_time = None
         self._raise_on_exception = raise_on_exception
diff --git a/morpheus/controllers/file_to_df_controller.py b/morpheus/controllers/file_to_df_controller.py
index 2839f4e3c2..c5b7e9a6c2 100644
--- a/morpheus/controllers/file_to_df_controller.py
+++ b/morpheus/controllers/file_to_df_controller.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/controllers/filter_detections_controller.py b/morpheus/controllers/filter_detections_controller.py
index c346fab0ae..ecd38a59b3 100644
--- a/morpheus/controllers/filter_detections_controller.py
+++ b/morpheus/controllers/filter_detections_controller.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/controllers/mlflow_model_writer_controller.py b/morpheus/controllers/mlflow_model_writer_controller.py
index bf935e8751..582c98b5ad 100644
--- a/morpheus/controllers/mlflow_model_writer_controller.py
+++ b/morpheus/controllers/mlflow_model_writer_controller.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/controllers/monitor_controller.py b/morpheus/controllers/monitor_controller.py
index b84b2e1f6a..aeb28adff1 100644
--- a/morpheus/controllers/monitor_controller.py
+++ b/morpheus/controllers/monitor_controller.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/controllers/rss_controller.py b/morpheus/controllers/rss_controller.py
index 3774bac9d4..5b9c36f369 100644
--- a/morpheus/controllers/rss_controller.py
+++ b/morpheus/controllers/rss_controller.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -19,22 +19,21 @@
 from dataclasses import dataclass
 from urllib.parse import urlparse
 
-import pandas as pd
 import requests
 import requests_cache
 
-from morpheus.utils.verify_dependencies import _verify_deps
+import cudf
 
 logger = logging.getLogger(__name__)
 
-REQUIRED_DEPS = ('BeautifulSoup', 'feedparser')
+IMPORT_EXCEPTION = None
 IMPORT_ERROR_MESSAGE = "RSSController requires the bs4 and feedparser packages to be installed"
 
 try:
     import feedparser
     from bs4 import BeautifulSoup
-except ImportError:
-    pass
+except ImportError as import_exc:
+    IMPORT_EXCEPTION = import_exc
 
 
 @dataclass
@@ -81,7 +80,9 @@ def __init__(self,
                  cache_dir: str = "./.cache/http",
                  cooldown_interval: int = 600,
                  request_timeout: float = 2.0):
-        _verify_deps(REQUIRED_DEPS, IMPORT_ERROR_MESSAGE, globals())
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
         if (isinstance(feed_input, str)):
             feed_input = [feed_input]
 
@@ -102,16 +103,23 @@ def __init__(self,
             run_indefinitely = any(RSSController.is_url(f) for f in self._feed_input)
 
         self._run_indefinitely = run_indefinitely
+        self._enable_cache = enable_cache
 
-        self._session = None
         if enable_cache:
             self._session = requests_cache.CachedSession(os.path.join(cache_dir, "RSSController.sqlite"),
                                                          backend="sqlite")
+        else:
+            self._session = requests.session()
+
+        self._session.headers.update({
+            "User-Agent":
+                "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36"
+        })
 
         self._feed_stats_dict = {
-            input:
+            url:
                 FeedStats(failure_count=0, success_count=0, last_failure=-1, last_success=-1, last_try_result="Unknown")
-            for input in self._feed_input
+            for url in self._feed_input
         }
 
     @property
@@ -119,14 +127,9 @@ def run_indefinitely(self):
         """Property that determines to run the source indefinitely"""
         return self._run_indefinitely
 
-    @property
-    def session_exist(self) -> bool:
-        """Property that indicates the existence of a session."""
-        return bool(self._session)
-
     def get_feed_stats(self, feed_url: str) -> FeedStats:
         """
-        Get feed input stats.
+        Get feed url stats.
 
         Parameters
         ----------
@@ -141,30 +144,20 @@ def get_feed_stats(self, feed_url: str) -> FeedStats:
         Raises
         ------
         ValueError
-            If the feed URL is not found in the feed input provided to the constructor.
+            If the feed URL is not found in the feed url provided to the constructor.
         """
         if feed_url not in self._feed_stats_dict:
-            raise ValueError("The feed URL is not part of the feed input provided to the constructor.")
+            raise ValueError("The feed URL is not part of the feed url provided to the constructor.")
 
         return self._feed_stats_dict[feed_url]
 
-    def _get_response_text(self, url: str) -> str:
-        if self.session_exist:
-            response = self._session.get(url)
-        else:
-            response = requests.get(url, timeout=self._request_timeout)
-
-        return response.text
-
     def _read_file_content(self, file_path: str) -> str:
         with open(file_path, 'r', encoding="utf-8") as file:
             return file.read()
 
-    def _try_parse_feed_with_beautiful_soup(self, feed_input: str, is_url: bool) -> "feedparser.FeedParserDict":
-
-        feed_input = self._get_response_text(feed_input) if is_url else self._read_file_content(feed_input)
+    def _try_parse_feed_with_beautiful_soup(self, feed_input: str) -> "feedparser.FeedParserDict":
 
-        soup = BeautifulSoup(feed_input, 'xml')
+        soup = BeautifulSoup(feed_input, features='xml')
 
         # Verify whether the given feed has 'item' or 'entry' tags.
         if soup.find('item'):
@@ -172,12 +165,23 @@ def _try_parse_feed_with_beautiful_soup(self, feed_input: str, is_url: bool) ->
         elif soup.find('entry'):
             items = soup.find_all("entry")
         else:
-            raise RuntimeError(f"Unable to find item or entry tags in {feed_input}.")
+            # Check if the current logging level is DEBUG
+            if (logger.getEffectiveLevel() == logging.DEBUG):
+                # If DEBUG, print feed_input in full
+                err_msg = f"Unable to find item or entry tags in response from {feed_input}."
+            else:
+                # If not DEBUG, truncate feed_input to 256 characters
+                truncated_input = (feed_input[:253] + '...') if len(feed_input) > 256 else feed_input
+                err_msg = (
+                    f"Unable to find item or entry tags in response from feed input (truncated, set logging to debug"
+                    f" for full output): {truncated_input}.")
+
+            raise RuntimeError(err_msg)
 
         feed_items = []
         for item in items:
             feed_item = {}
-            # Iterate over each children in an item
+            # Iterate over each child in an item
             for child in item.children:
                 if child.name is not None:
                     # If child link doesn't have a text, get it from href
@@ -187,7 +191,7 @@ def _try_parse_feed_with_beautiful_soup(self, feed_input: str, is_url: bool) ->
                             feed_item[child.name] = child.get('href', 'Unknown value')
                         else:
                             feed_item[child.name] = link_value
-                    # To be consistant with feedparser entries, rename guid to id
+                    # To be consistent with feedparser entries, rename guid to id
                     elif child.name == "guid":
                         feed_item["id"] = child.get_text()
                     else:
@@ -205,32 +209,28 @@ def _try_parse_feed(self, url: str) -> "feedparser.FeedParserDict":
 
         fallback = False
         cache_hit = False
-        is_url_with_session = is_url and self.session_exist
 
-        if is_url_with_session:
-            response = self._session.get(url)
-            cache_hit = response.from_cache
+        if is_url:
+            response = self._session.get(url, timeout=self._request_timeout)
             feed_input = response.text
+            if self._enable_cache:
+                cache_hit = response.from_cache
         else:
             feed_input = url
 
         feed = feedparser.parse(feed_input)
 
         if feed["bozo"]:
-            cache_hit = False
-
-            if is_url_with_session:
-                fallback = True
-                logger.info("Failed to parse feed: %s. Trying to parse using feedparser directly.", url)
-                feed = feedparser.parse(url)
-
-            if feed["bozo"]:
-                try:
-                    logger.info("Failed to parse feed: %s, %s. Try parsing feed manually", url, feed['bozo_exception'])
-                    feed = self._try_parse_feed_with_beautiful_soup(url, is_url)
-                except Exception:
-                    logger.error("Failed to parse the feed manually: %s", url)
-                    raise
+            fallback = True
+            try:
+                if not is_url:
+                    # Read file content
+                    feed_input = self._read_file_content(feed_input)
+                # Parse feed content with beautifulsoup
+                feed = self._try_parse_feed_with_beautiful_soup(feed_input)
+            except Exception:
+                logger.error("Failed to parse the feed manually: %s", url)
+                raise
 
         logger.debug("Parsed feed: %s. Cache hit: %s. Fallback: %s", url, cache_hit, fallback)
 
@@ -294,14 +294,14 @@ def fetch_dataframes(self):
                         entry_accumulator.append(entry)
 
                         if self._batch_size > 0 and len(entry_accumulator) >= self._batch_size:
-                            yield pd.DataFrame(entry_accumulator)
+                            yield cudf.DataFrame(entry_accumulator)
                             entry_accumulator.clear()
 
             self._previous_entries = current_entries
 
             # Yield any remaining entries.
             if entry_accumulator:
-                yield pd.DataFrame(entry_accumulator)
+                yield cudf.DataFrame(entry_accumulator)
             else:
                 logger.debug("No new entries found.")
 
@@ -312,17 +312,17 @@ def fetch_dataframes(self):
     @classmethod
     def is_url(cls, feed_input: str) -> bool:
         """
-        Check if the provided input is a valid URL.
+        Check if the provided url is a valid URL.
 
         Parameters
         ----------
         feed_input : str
-            The input string to be checked.
+            The url string to be checked.
 
         Returns
         -------
         bool
-            True if the input is a valid URL, False otherwise.
+            True if the url is a valid URL, False otherwise.
         """
         try:
             parsed_url = urlparse(feed_input)
diff --git a/morpheus/controllers/serialize_controller.py b/morpheus/controllers/serialize_controller.py
index 9750741a76..dd653b8325 100644
--- a/morpheus/controllers/serialize_controller.py
+++ b/morpheus/controllers/serialize_controller.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -16,6 +16,7 @@
 import re
 import typing
 
+from morpheus.messages import ControlMessage
 from morpheus.messages import MessageMeta
 from morpheus.messages import MultiMessage
 
@@ -62,7 +63,7 @@ def fixed_columns(self):
         return self._fixed_columns
 
     def convert_to_df(self,
-                      x: MultiMessage,
+                      x: typing.Union[MultiMessage, ControlMessage],
                       include_columns: typing.Pattern,
                       exclude_columns: typing.List[typing.Pattern]):
         """
@@ -70,8 +71,8 @@ def convert_to_df(self,
 
         Parameters
         ----------
-        x : `morpheus.pipeline.messages.MultiMessage`
-            MultiMessage instance that contains data.
+        x : `morpheus.pipeline.messages.MultiMessage` or `morpheus.pipeline.messages.ControlMessage`
+            MultiMessage or ControlMessage instance that contains data.
         include_columns : typing.Pattern
             Columns that are required send to downstream stage.
         exclude_columns : typing.List[typing.Pattern]
@@ -85,7 +86,10 @@ def convert_to_df(self,
             columns: typing.List[str] = []
 
             # Minimize access to x.meta.df
-            df_columns = list(x.meta.df.columns)
+            if isinstance(x, MultiMessage):
+                df_columns = list(x.meta.df.columns)
+            elif isinstance(x, ControlMessage):
+                df_columns = list(x.payload().get_column_names())
 
             # First build up list of included. If no include regex is specified, select all
             if (include_columns is None):
@@ -100,7 +104,10 @@ def convert_to_df(self,
             self._columns = columns
 
         # Get metadata from columns
-        df = x.get_meta(columns)
+        if isinstance(x, MultiMessage):
+            df = x.get_meta(self._columns)
+        elif isinstance(x, ControlMessage):
+            df = x.payload().get_data(columns)
 
         return MessageMeta(df=df)
 
diff --git a/morpheus/controllers/write_to_file_controller.py b/morpheus/controllers/write_to_file_controller.py
index 15bc014548..d27e944e45 100644
--- a/morpheus/controllers/write_to_file_controller.py
+++ b/morpheus/controllers/write_to_file_controller.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/io/__init__.py b/morpheus/io/__init__.py
index a8d02cec80..0b4cb91645 100644
--- a/morpheus/io/__init__.py
+++ b/morpheus/io/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/io/data_manager.py b/morpheus/io/data_manager.py
index b9bba252f5..5477842041 100644
--- a/morpheus/io/data_manager.py
+++ b/morpheus/io/data_manager.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/data_manager_loader.py b/morpheus/io/data_manager_loader.py
index 1b9f414133..fccb21bd2c 100644
--- a/morpheus/io/data_manager_loader.py
+++ b/morpheus/io/data_manager_loader.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/data_record.py b/morpheus/io/data_record.py
index b1b6699818..f8df7fdd9c 100644
--- a/morpheus/io/data_record.py
+++ b/morpheus/io/data_record.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/data_storage/__init__.py b/morpheus/io/data_storage/__init__.py
index 2a2c1e2264..c70c1078bf 100644
--- a/morpheus/io/data_storage/__init__.py
+++ b/morpheus/io/data_storage/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/data_storage/file_system.py b/morpheus/io/data_storage/file_system.py
index c1e8ed9784..f512f79b23 100644
--- a/morpheus/io/data_storage/file_system.py
+++ b/morpheus/io/data_storage/file_system.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/data_storage/in_memory.py b/morpheus/io/data_storage/in_memory.py
index d23cf310a7..d3a15e0215 100644
--- a/morpheus/io/data_storage/in_memory.py
+++ b/morpheus/io/data_storage/in_memory.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/data_storage_interface.py b/morpheus/io/data_storage_interface.py
index b89bb5bd94..78fba40c37 100644
--- a/morpheus/io/data_storage_interface.py
+++ b/morpheus/io/data_storage_interface.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/deserializers.py b/morpheus/io/deserializers.py
index 8eb5c666ea..293bc2a303 100644
--- a/morpheus/io/deserializers.py
+++ b/morpheus/io/deserializers.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/serializers.py b/morpheus/io/serializers.py
index 09d5829caf..8672383f9e 100644
--- a/morpheus/io/serializers.py
+++ b/morpheus/io/serializers.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/io/utils.py b/morpheus/io/utils.py
index 1f0d2012c5..7c4cfce260 100644
--- a/morpheus/io/utils.py
+++ b/morpheus/io/utils.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/llm/__init__.py b/morpheus/llm/__init__.py
index b6628fabab..5a06014cf1 100644
--- a/morpheus/llm/__init__.py
+++ b/morpheus/llm/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/llm/nodes/__init__.py b/morpheus/llm/nodes/__init__.py
index ce94db52fa..57bbf5c626 100644
--- a/morpheus/llm/nodes/__init__.py
+++ b/morpheus/llm/nodes/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/llm/nodes/extracter_node.py b/morpheus/llm/nodes/extracter_node.py
index 374753bcc4..b6ad8c5e0a 100644
--- a/morpheus/llm/nodes/extracter_node.py
+++ b/morpheus/llm/nodes/extracter_node.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -33,7 +33,7 @@ def get_input_names(self) -> list[str]:
         # This node does not receive its inputs from upstream nodes, but rather from the task itself
         return []
 
-    async def execute(self, context: LLMContext) -> LLMContext:
+    async def execute(self, context: LLMContext) -> LLMContext:  # pylint: disable=invalid-overridden-method
 
         # Get the keys from the task
         input_keys: list[str] = typing.cast(list[str], context.task()["input_keys"])
diff --git a/morpheus/llm/nodes/langchain_agent_node.py b/morpheus/llm/nodes/langchain_agent_node.py
index 3fbb018df0..ab2671dae8 100644
--- a/morpheus/llm/nodes/langchain_agent_node.py
+++ b/morpheus/llm/nodes/langchain_agent_node.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -66,9 +66,14 @@ async def _run_single(self, **kwargs: dict[str, typing.Any]) -> dict[str, typing
             return results
 
         # We are not dealing with a list, so run single
-        return await self._agent_executor.arun(**kwargs)
-
-    async def execute(self, context: LLMContext) -> LLMContext:
+        try:
+            return await self._agent_executor.arun(**kwargs)
+        except Exception as e:
+            error_msg = f"Error running agent: {e}"
+            logger.exception(error_msg)
+            return error_msg
+
+    async def execute(self, context: LLMContext) -> LLMContext:  # pylint: disable=invalid-overridden-method
 
         input_dict = context.get_inputs()
 
diff --git a/morpheus/llm/nodes/llm_generate_node.py b/morpheus/llm/nodes/llm_generate_node.py
index 33e5947daf..08a5198078 100644
--- a/morpheus/llm/nodes/llm_generate_node.py
+++ b/morpheus/llm/nodes/llm_generate_node.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -43,7 +43,7 @@ def __init__(self, llm_client: LLMClient) -> None:
     def get_input_names(self) -> list[str]:
         return self._llm_client.get_input_names()
 
-    async def execute(self, context: LLMContext) -> LLMContext:
+    async def execute(self, context: LLMContext) -> LLMContext:  # pylint: disable=invalid-overridden-method
 
         # Get the inputs
         inputs: dict[str, list[str]] = context.get_inputs()
diff --git a/morpheus/llm/nodes/prompt_template_node.py b/morpheus/llm/nodes/prompt_template_node.py
index 356f32baf0..65a834b3c5 100644
--- a/morpheus/llm/nodes/prompt_template_node.py
+++ b/morpheus/llm/nodes/prompt_template_node.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -66,7 +66,7 @@ def __init__(self, template: str, template_format: typing.Literal["f-string", "j
     def get_input_names(self):
         return self._input_names
 
-    async def execute(self, context: LLMContext):
+    async def execute(self, context: LLMContext):  # pylint: disable=invalid-overridden-method
 
         # Get the keys from the task
         input_dict = context.get_inputs()
diff --git a/morpheus/llm/nodes/rag_node.py b/morpheus/llm/nodes/rag_node.py
index 35ce18e3e4..38800a9925 100644
--- a/morpheus/llm/nodes/rag_node.py
+++ b/morpheus/llm/nodes/rag_node.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/llm/nodes/retriever_node.py b/morpheus/llm/nodes/retriever_node.py
index 5a9e563500..9d8df4109c 100644
--- a/morpheus/llm/nodes/retriever_node.py
+++ b/morpheus/llm/nodes/retriever_node.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -63,7 +63,7 @@ def get_input_names(self) -> list[str]:
 
         return ["query"]
 
-    async def execute(self, context: LLMContext):
+    async def execute(self, context: LLMContext):  # pylint: disable=invalid-overridden-method
         """
         Execute the retrieval process based on the provided context.
 
diff --git a/morpheus/llm/services/__init__.py b/morpheus/llm/services/__init__.py
index ce94db52fa..57bbf5c626 100644
--- a/morpheus/llm/services/__init__.py
+++ b/morpheus/llm/services/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/llm/services/llm_service.py b/morpheus/llm/services/llm_service.py
index a0fa8511b5..07c777c547 100644
--- a/morpheus/llm/services/llm_service.py
+++ b/morpheus/llm/services/llm_service.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -34,7 +34,7 @@ def get_input_names(self) -> list[str]:
         pass
 
     @abstractmethod
-    def generate(self, input_dict: dict[str, str]) -> str:
+    def generate(self, **input_dict) -> str:
         """
         Issue a request to generate a response based on a given prompt.
 
@@ -46,7 +46,7 @@ def generate(self, input_dict: dict[str, str]) -> str:
         pass
 
     @abstractmethod
-    async def generate_async(self, input_dict: dict[str, str]) -> str:
+    async def generate_async(self, **input_dict) -> str:
         """
         Issue an asynchronous request to generate a response based on a given prompt.
 
@@ -57,8 +57,20 @@ async def generate_async(self, input_dict: dict[str, str]) -> str:
         """
         pass
 
+    @typing.overload
     @abstractmethod
-    def generate_batch(self, inputs: dict[str, list[str]]) -> list[str]:
+    def generate_batch(self,
+                       inputs: dict[str, list],
+                       return_exceptions: typing.Literal[True] = True) -> list[str | BaseException]:
+        ...
+
+    @typing.overload
+    @abstractmethod
+    def generate_batch(self, inputs: dict[str, list], return_exceptions: typing.Literal[False] = False) -> list[str]:
+        ...
+
+    @abstractmethod
+    def generate_batch(self, inputs: dict[str, list], return_exceptions=False) -> list[str] | list[str | BaseException]:
         """
         Issue a request to generate a list of responses based on a list of prompts.
 
@@ -66,11 +78,29 @@ def generate_batch(self, inputs: dict[str, list[str]]) -> list[str]:
         ----------
         inputs : dict
             Inputs containing prompt data.
+        return_exceptions : bool
+            Whether to return exceptions in the output list or raise them immediately.
         """
         pass
 
+    @typing.overload
+    @abstractmethod
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions: typing.Literal[True] = True) -> list[str | BaseException]:
+        ...
+
+    @typing.overload
+    @abstractmethod
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions: typing.Literal[False] = False) -> list[str]:
+        ...
+
     @abstractmethod
-    async def generate_batch_async(self, inputs: dict[str, list[str]]) -> list[str]:
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions=False) -> list[str] | list[str | BaseException]:
         """
         Issue an asynchronous request to generate a list of responses based on a list of prompts.
 
@@ -78,6 +108,8 @@ async def generate_batch_async(self, inputs: dict[str, list[str]]) -> list[str]:
         ----------
         inputs : dict
             Inputs containing prompt data.
+        return_exceptions : bool
+            Whether to return exceptions in the output list or raise them immediately.
         """
         pass
 
@@ -88,7 +120,7 @@ class LLMService(ABC):
     """
 
     @abstractmethod
-    def get_client(self, model_name: str, **model_kwargs: dict[str, typing.Any]) -> LLMClient:
+    def get_client(self, *, model_name: str, **model_kwargs) -> LLMClient:
         """
         Returns a client for interacting with a specific model.
 
diff --git a/morpheus/llm/services/nemo_llm_service.py b/morpheus/llm/services/nemo_llm_service.py
index 2dc6e819d2..81fb4f9b97 100644
--- a/morpheus/llm/services/nemo_llm_service.py
+++ b/morpheus/llm/services/nemo_llm_service.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -16,24 +16,23 @@
 import logging
 import os
 import typing
+import warnings
 
 from morpheus.llm.services.llm_service import LLMClient
 from morpheus.llm.services.llm_service import LLMService
-from morpheus.utils.verify_dependencies import _verify_deps
 
 logger = logging.getLogger(__name__)
 
+IMPORT_EXCEPTION = None
 IMPORT_ERROR_MESSAGE = (
     "NemoLLM not found. Install it and other additional dependencies by running the following command:\n"
-    "`mamba install -n base -c conda-forge conda-merge`\n"
-    "`conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml "
-    "  docker/conda/environments/cuda${CUDA_VER}_examples.yml"
-    "  > .tmp/merged.yml && mamba env update -n morpheus --file .tmp/merged.yml`")
+    "`conda env update --solver=libmamba -n morpheus "
+    "--file conda/environments/dev_cuda-121_arch-x86_64.yaml --prune`")
 
 try:
     import nemollm
-except ImportError:
-    pass
+except ImportError as import_exc:
+    IMPORT_EXCEPTION = import_exc
 
 
 class NeMoLLMClient(LLMClient):
@@ -52,9 +51,13 @@ class NeMoLLMClient(LLMClient):
         Additional keyword arguments to pass to the model when generating text.
     """
 
-    def __init__(self, parent: "NeMoLLMService", model_name: str, **model_kwargs: dict[str, typing.Any]) -> None:
+    def __init__(self, parent: "NeMoLLMService", *, model_name: str, **model_kwargs) -> None:
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
         super().__init__()
-        _verify_deps(('nemollm', ), IMPORT_ERROR_MESSAGE, globals())
+
+        assert parent is not None, "Parent service cannot be None."
 
         self._parent = parent
         self._model_name = model_name
@@ -64,7 +67,7 @@ def __init__(self, parent: "NeMoLLMService", model_name: str, **model_kwargs: di
     def get_input_names(self) -> list[str]:
         return [self._prompt_key]
 
-    def generate(self, input_dict: dict[str, str]) -> str:
+    def generate(self, **input_dict) -> str:
         """
         Issue a request to generate a response based on a given prompt.
 
@@ -73,9 +76,9 @@ def generate(self, input_dict: dict[str, str]) -> str:
         input_dict : dict
             Input containing prompt data.
         """
-        return self.generate_batch({self._prompt_key: [input_dict[self._prompt_key]]})[0]
+        return self.generate_batch({self._prompt_key: [input_dict[self._prompt_key]]}, return_exceptions=False)[0]
 
-    async def generate_async(self, input_dict: dict[str, str]) -> str:
+    async def generate_async(self, **input_dict) -> str:
         """
         Issue an asynchronous request to generate a response based on a given prompt.
 
@@ -84,9 +87,20 @@ async def generate_async(self, input_dict: dict[str, str]) -> str:
         input_dict : dict
             Input containing prompt data.
         """
-        return (await self.generate_batch_async({self._prompt_key: [input_dict[self._prompt_key]]}))[0]
+        return (await self.generate_batch_async({self._prompt_key: [input_dict[self._prompt_key]]},
+                                                return_exceptions=False))[0]
+
+    @typing.overload
+    def generate_batch(self,
+                       inputs: dict[str, list],
+                       return_exceptions: typing.Literal[True] = True) -> list[str | BaseException]:
+        ...
+
+    @typing.overload
+    def generate_batch(self, inputs: dict[str, list], return_exceptions: typing.Literal[False] = False) -> list[str]:
+        ...
 
-    def generate_batch(self, inputs: dict[str, list[str]]) -> list[str]:
+    def generate_batch(self, inputs: dict[str, list], return_exceptions=False) -> list[str] | list[str | BaseException]:
         """
         Issue a request to generate a list of responses based on a list of prompts.
 
@@ -94,7 +108,17 @@ def generate_batch(self, inputs: dict[str, list[str]]) -> list[str]:
         ----------
         inputs : dict
             Inputs containing prompt data.
+        return_exceptions : bool
+            Whether to return exceptions in the output list or raise them immediately.
         """
+
+        # Note: We dont want to use the generate_multiple implementation from nemollm because there is no retry logic.
+        # As soon as one of the requests fails, the entire batch fails. Instead, we need to implement the functionality
+        # listed in issue #1555 For now, we generate a warning if `return_exceptions` is True.
+        if (return_exceptions):
+            warnings.warn("return_exceptions==True is not currently supported by the NeMoLLMClient. "
+                          "If an exception is raised for any item, the function will exit and raise that exception.")
+
         return typing.cast(
             list[str],
             self._parent._conn.generate_multiple(model=self._model_name,
@@ -102,7 +126,46 @@ def generate_batch(self, inputs: dict[str, list[str]]) -> list[str]:
                                                  return_type="text",
                                                  **self._model_kwargs))
 
-    async def generate_batch_async(self, inputs: dict[str, list[str]]) -> list[str]:
+    async def _process_one_async(self, prompt: str) -> str:
+        iterations = 0
+        errors = []
+
+        while iterations < self._parent._retry_count:
+            fut = await asyncio.wrap_future(
+                self._parent._conn.generate(model=self._model_name,
+                                            prompt=prompt,
+                                            return_type="async",
+                                            **self._model_kwargs))  # type: ignore
+
+            result: dict = nemollm.NemoLLM.post_process_generate_response(
+                fut, return_text_completion_only=False)  # type: ignore
+
+            if result.get('status', None) == 'fail':
+                iterations += 1
+                errors.append(result.get('msg', 'Unknown error'))
+                continue
+
+            return result['text']
+
+        raise RuntimeError(
+            f"Failed to generate response for prompt '{prompt}' after {self._parent._retry_count} attempts. "
+            f"Errors: {errors}")
+
+    @typing.overload
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions: typing.Literal[True] = True) -> list[str | BaseException]:
+        ...
+
+    @typing.overload
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions: typing.Literal[False] = False) -> list[str]:
+        ...
+
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions=False) -> list[str] | list[str | BaseException]:
         """
         Issue an asynchronous request to generate a list of responses based on a list of prompts.
 
@@ -110,52 +173,52 @@ async def generate_batch_async(self, inputs: dict[str, list[str]]) -> list[str]:
         ----------
         inputs : dict
             Inputs containing prompt data.
+        return_exceptions : bool
+            Whether to return exceptions in the output list or raise them immediately.
         """
         prompts = inputs[self._prompt_key]
-        futures = [
-            asyncio.wrap_future(
-                self._parent._conn.generate(self._model_name, p, return_type="async", **self._model_kwargs))
-            for p in prompts
-        ]
 
-        results = await asyncio.gather(*futures)
-
-        responses = []
-
-        for result in results:
-            result = nemollm.NemoLLM.post_process_generate_response(result, return_text_completion_only=False)
-            if result.get('status', None) == 'fail':
-                raise RuntimeError(result.get('msg', 'Unknown error'))
+        futures = [self._process_one_async(p) for p in prompts]
 
-            responses.append(result['text'])
+        results = await asyncio.gather(*futures, return_exceptions=return_exceptions)
 
-        return responses
+        return results
 
 
 class NeMoLLMService(LLMService):
     """
     A service for interacting with NeMo LLM models, this class should be used to create a client for a specific model.
-
-    Parameters
-    ----------
-    api_key : str, optional
-        The API key for the LLM service, by default None. If `None` the API key will be read from the `NGC_API_KEY`
-        environment variable. If neither are present an error will be raised.
-
-    org_id : str, optional
-        The organization ID for the LLM service, by default None. If `None` the organization ID will be read from the
-        `NGC_ORG_ID` environment variable. This value is only required if the account associated with the `api_key` is
-        a member of multiple NGC organizations.
     """
 
-    def __init__(self, *, api_key: str = None, org_id: str = None) -> None:
-        super().__init__()
-        _verify_deps(('nemollm', ), IMPORT_ERROR_MESSAGE, globals())
+    def __init__(self, *, api_key: str = None, org_id: str = None, retry_count=5) -> None:
+        """
+        Creates a service for interacting with NeMo LLM models.
 
+        Parameters
+        ----------
+        api_key : str, optional
+            The API key for the LLM service, by default None. If `None` the API key will be read from the `NGC_API_KEY`
+            environment variable. If neither are present an error will be raised., by default None
+        org_id : str, optional
+            The organization ID for the LLM service, by default None. If `None` the organization ID will be read from
+            the `NGC_ORG_ID` environment variable. This value is only required if the account associated with the
+            `api_key` is a member of multiple NGC organizations., by default None
+        retry_count : int, optional
+            The number of times to retry a request before raising an exception, by default 5
+
+        """
+
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
+        super().__init__()
         api_key = api_key if api_key is not None else os.environ.get("NGC_API_KEY", None)
         org_id = org_id if org_id is not None else os.environ.get("NGC_ORG_ID", None)
 
+        self._retry_count = retry_count
+
         self._conn = nemollm.NemoLLM(
+            api_host=os.environ.get("NGC_API_BASE", None),
             # The client must configure the authentication and authorization parameters
             # in accordance with the API server security policy.
             # Configure Bearer authorization
@@ -167,7 +230,7 @@ def __init__(self, *, api_key: str = None, org_id: str = None) -> None:
             org_id=org_id,
         )
 
-    def get_client(self, model_name: str, **model_kwargs: dict[str, typing.Any]) -> NeMoLLMClient:
+    def get_client(self, *, model_name: str, **model_kwargs) -> NeMoLLMClient:
         """
         Returns a client for interacting with a specific model. This method is the preferred way to create a client.
 
@@ -180,4 +243,4 @@ def get_client(self, model_name: str, **model_kwargs: dict[str, typing.Any]) ->
             Additional keyword arguments to pass to the model when generating text.
         """
 
-        return NeMoLLMClient(self, model_name, **model_kwargs)
+        return NeMoLLMClient(self, model_name=model_name, **model_kwargs)
diff --git a/morpheus/llm/services/openai_chat_service.py b/morpheus/llm/services/openai_chat_service.py
index 3c9411050f..3179d2474f 100644
--- a/morpheus/llm/services/openai_chat_service.py
+++ b/morpheus/llm/services/openai_chat_service.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -11,30 +11,58 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
 import asyncio
 import copy
 import logging
+import os
+import time
 import typing
+from contextlib import contextmanager
+from textwrap import dedent
+
+import appdirs
 
 from morpheus.llm.services.llm_service import LLMClient
 from morpheus.llm.services.llm_service import LLMService
-from morpheus.utils.verify_dependencies import _verify_deps
 
 logger = logging.getLogger(__name__)
 
-IMPORT_ERROR_MESSAGE = (
-    "OpenAIChatService & OpenAIChatClient require the openai package to be installed. "
-    "Install it by running the following command:\n"
-    "`mamba install -n base -c conda-forge conda-merge`\n"
-    "`conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml "
-    "  docker/conda/environments/cuda${CUDA_VER}_examples.yml"
-    "  > .tmp/merged.yml && mamba env update -n morpheus --file .tmp/merged.yml`")
+IMPORT_EXCEPTION = None
+IMPORT_ERROR_MESSAGE = ("OpenAIChatService & OpenAIChatClient require the openai package to be installed. "
+                        "Install it by running the following command:\n"
+                        "`conda env update --solver=libmamba -n morpheus "
+                        "--file conda/environments/dev_cuda-121_arch-x86_64.yaml --prune`")
 
 try:
     import openai
-except ImportError:
-    pass
+    import openai.types.chat
+    import openai.types.chat.chat_completion
+except ImportError as import_exc:
+    IMPORT_EXCEPTION = import_exc
+
+
+class _ApiLogger:
+    """
+    Simple class that allows passing back and forth the inputs and outputs of an API call via a context manager.
+    """
+
+    log_template: typing.ClassVar[str] = dedent("""
+        ============= MESSAGE %d START ==============
+                        --- Input ---
+        %s
+                        --- Output --- (%f ms)
+        %s
+        =============  MESSAGE %d END ==============
+        """).strip("\n")
+
+    def __init__(self, *, message_id: int, inputs: typing.Any) -> None:
+
+        self.message_id = message_id
+        self.inputs = inputs
+        self.outputs = None
+
+    def set_output(self, output: typing.Any) -> None:
+        self.outputs = output
 
 
 class OpenAIChatClient(LLMClient):
@@ -50,13 +78,31 @@ class OpenAIChatClient(LLMClient):
     set_assistant: bool, optional default=False
         When `True`, a second input field named `assistant` will be used to proide additional context to the model.
 
+    max_retries: int, optional default=10
+        The maximum number of retries to attempt when making a request to the OpenAI API.
+
     model_kwargs : dict[str, typing.Any]
         Additional keyword arguments to pass to the model when generating text.
     """
 
-    def __init__(self, model_name: str, set_assistant: bool = False, **model_kwargs: dict[str, typing.Any]) -> None:
+    _prompt_key: str = "prompt"
+    _assistant_key: str = "assistant"
+
+    def __init__(self,
+                 parent: "OpenAIChatService",
+                 *,
+                 model_name: str,
+                 set_assistant: bool = False,
+                 max_retries: int = 10,
+                 **model_kwargs) -> None:
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
         super().__init__()
-        _verify_deps(('openai', ), IMPORT_ERROR_MESSAGE, globals())
+
+        assert parent is not None, "Parent service cannot be None."
+
+        self._parent = parent
 
         self._model_name = model_name
         self._set_assistant = set_assistant
@@ -65,7 +111,10 @@ def __init__(self, model_name: str, set_assistant: bool = False, **model_kwargs:
 
         # Preserve original configuration.
         self._model_kwargs = copy.deepcopy(model_kwargs)
-        self._model_kwargs['temperature'] = model_kwargs.get('temperature', 0)
+
+        # Create the client objects for both sync and async
+        self._client = openai.OpenAI(max_retries=max_retries)
+        self._client_async = openai.AsyncOpenAI(max_retries=max_retries)
 
     def get_input_names(self) -> list[str]:
         input_names = [self._prompt_key]
@@ -74,40 +123,75 @@ def get_input_names(self) -> list[str]:
 
         return input_names
 
-    def _create_messages(self, prompt: str, assistant: str = None) -> list[dict[str, str]]:
-        messages = [
-            {
-                "role": "system", "content": "You are a helpful assistant."
-            },
-            {
-                "role": "user", "content": prompt
-            },
-        ]
+    @contextmanager
+    def _api_logger(self, inputs: typing.Any):
 
-        if (self._set_assistant):
+        message_id = self._parent._get_message_id()
+        start_time = time.time()
+
+        api_logger = _ApiLogger(message_id=message_id, inputs=inputs)
+
+        yield api_logger
+
+        end_time = time.time()
+        duration_ms = (end_time - start_time) * 1000.0
+
+        self._parent._logger.info(_ApiLogger.log_template,
+                                  message_id,
+                                  api_logger.inputs,
+                                  duration_ms,
+                                  api_logger.outputs,
+                                  message_id)
+
+    def _create_messages(self,
+                         prompt: str,
+                         assistant: str = None) -> list["openai.types.chat.ChatCompletionMessageParam"]:
+        messages: list[openai.types.chat.ChatCompletionMessageParam] = [{"role": "user", "content": prompt}]
+
+        if (self._set_assistant and assistant is not None):
             messages.append({"role": "assistant", "content": assistant})
 
         return messages
 
-    def _extract_completion(self, completion: "openai.openai_object.OpenAIObject") -> str:
-        choices = completion.get('choices', [])
+    def _extract_completion(self, completion: "openai.types.chat.chat_completion.ChatCompletion") -> str:
+        choices = completion.choices
         if len(choices) == 0:
             raise ValueError("No choices were returned from the model.")
 
-        content = choices[0].get('message', {}).get('content', None)
+        content = choices[0].message.content
         if content is None:
             raise ValueError("No content was returned from the model.")
 
         return content
 
-    def _generate(self, prompt: str, assistant: str = None) -> str:
-        messages = self._create_messages(prompt, assistant)
+    @typing.overload
+    def _generate(self,
+                  prompt: str,
+                  assistant: str = None,
+                  return_exceptions: typing.Literal[True] = True) -> str | BaseException:
+        ...
 
-        output = openai.ChatCompletion.create(model=self._model_name, messages=messages, **self._model_kwargs)
+    @typing.overload
+    def _generate(self, prompt: str, assistant: str = None, return_exceptions: typing.Literal[False] = False) -> str:
+        ...
 
-        return self._extract_completion(output)
+    def _generate(self, prompt: str, assistant: str = None, return_exceptions: bool = False):
+
+        try:
+            messages = self._create_messages(prompt, assistant)
+
+            output: openai.types.chat.chat_completion.ChatCompletion = self._client.chat.completions.create(
+                model=self._model_name, messages=messages, **self._model_kwargs)
 
-    def generate(self, input_dict: dict[str, str]) -> str:
+            return self._extract_completion(output)
+        except BaseException as e:
+
+            if return_exceptions:
+                return e
+
+            raise
+
+    def generate(self, **input_dict) -> str:
         """
         Issue a request to generate a response based on a given prompt.
 
@@ -116,16 +200,29 @@ def generate(self, input_dict: dict[str, str]) -> str:
         input_dict : dict
             Input containing prompt data.
         """
-        return self._generate(input_dict[self._prompt_key], input_dict.get(self._assistant_key))
+        return self._generate(input_dict[self._prompt_key],
+                              input_dict.get(self._assistant_key),
+                              return_exceptions=False)
 
     async def _generate_async(self, prompt: str, assistant: str = None) -> str:
+
         messages = self._create_messages(prompt, assistant)
 
-        output = await openai.ChatCompletion.acreate(model=self._model_name, messages=messages, **self._model_kwargs)
+        with self._api_logger(inputs=messages) as msg_logger:
+
+            try:
+                output = await self._client_async.chat.completions.create(model=self._model_name,
+                                                                          messages=messages,
+                                                                          **self._model_kwargs)
+            except Exception as exc:
+                self._parent._logger.error("Error generating completion: %s", exc)
+                raise
+
+            msg_logger.set_output(output)
 
         return self._extract_completion(output)
 
-    async def generate_async(self, input_dict: dict[str, str]) -> str:
+    async def generate_async(self, **input_dict) -> str:
         """
         Issue an asynchronous request to generate a response based on a given prompt.
 
@@ -136,7 +233,17 @@ async def generate_async(self, input_dict: dict[str, str]) -> str:
         """
         return await self._generate_async(input_dict[self._prompt_key], input_dict.get(self._assistant_key))
 
-    def generate_batch(self, inputs: dict[str, list[str]]) -> list[str]:
+    @typing.overload
+    def generate_batch(self,
+                       inputs: dict[str, list],
+                       return_exceptions: typing.Literal[True] = True) -> list[str | BaseException]:
+        ...
+
+    @typing.overload
+    def generate_batch(self, inputs: dict[str, list], return_exceptions: typing.Literal[False] = False) -> list[str]:
+        ...
+
+    def generate_batch(self, inputs: dict[str, list], return_exceptions=False) -> list[str] | list[str | BaseException]:
         """
         Issue a request to generate a list of responses based on a list of prompts.
 
@@ -144,6 +251,8 @@ def generate_batch(self, inputs: dict[str, list[str]]) -> list[str]:
         ----------
         inputs : dict
             Inputs containing prompt data.
+        return_exceptions : bool
+            Whether to return exceptions in the output list or raise them immediately.
         """
         prompts = inputs[self._prompt_key]
         assistants = None
@@ -155,11 +264,28 @@ def generate_batch(self, inputs: dict[str, list[str]]) -> list[str]:
         results = []
         for (i, prompt) in enumerate(prompts):
             assistant = assistants[i] if assistants is not None else None
-            results.append(self._generate(prompt, assistant))
+            if (return_exceptions):
+                results.append(self._generate(prompt, assistant, return_exceptions=True))
+            else:
+                results.append(self._generate(prompt, assistant, return_exceptions=False))
 
         return results
 
-    async def generate_batch_async(self, inputs: dict[str, list[str]]) -> list[str]:
+    @typing.overload
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions: typing.Literal[True] = True) -> list[str | BaseException]:
+        ...
+
+    @typing.overload
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions: typing.Literal[False] = False) -> list[str]:
+        ...
+
+    async def generate_batch_async(self,
+                                   inputs: dict[str, list],
+                                   return_exceptions=False) -> list[str] | list[str | BaseException]:
         """
         Issue an asynchronous request to generate a list of responses based on a list of prompts.
 
@@ -167,6 +293,8 @@ async def generate_batch_async(self, inputs: dict[str, list[str]]) -> list[str]:
         ----------
         inputs : dict
             Inputs containing prompt data.
+        return_exceptions : bool
+            Whether to return exceptions in the output list or raise them immediately.
         """
         prompts = inputs[self._prompt_key]
         assistants = None
@@ -180,7 +308,7 @@ async def generate_batch_async(self, inputs: dict[str, list[str]]) -> list[str]:
             assistant = assistants[i] if assistants is not None else None
             coros.append(self._generate_async(prompt, assistant))
 
-        return await asyncio.gather(*coros)
+        return await asyncio.gather(*coros, return_exceptions=return_exceptions)
 
 
 class OpenAIChatService(LLMService):
@@ -188,14 +316,59 @@ class OpenAIChatService(LLMService):
     A service for interacting with OpenAI Chat models, this class should be used to create clients.
     """
 
-    def __init__(self) -> None:
+    def __init__(self, *, default_model_kwargs: dict = None) -> None:
+        """
+        Creates a service for interacting with OpenAI Chat models, this class should be used to create clients.
+
+        Parameters
+        ----------
+        default_model_kwargs : dict, optional
+            Default arguments to use when creating a client via the `get_client` function. Any argument specified here
+            will automatically be used when calling `get_client`. Arguments specified in the `get_client` function will
+            overwrite default values specified here. This is useful to set model arguments before creating multiple
+            clients. By default None
+
+        Raises
+        ------
+        ImportError
+            If the `openai` library is not found in the python environment.
+        """
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
         super().__init__()
-        _verify_deps(('openai', ), IMPORT_ERROR_MESSAGE, globals())
+
+        self._default_model_kwargs = default_model_kwargs or {}
+
+        self._logger = logging.getLogger(f"{__package__}.{OpenAIChatService.__name__}")
+
+        # Dont propagate up to the default logger. Just log to file
+        self._logger.propagate = False
+
+        log_file = os.path.join(appdirs.user_log_dir(appauthor="NVIDIA", appname="morpheus"), "openai.log")
+
+        # Add a file handler
+        file_handler = logging.FileHandler(log_file)
+
+        self._logger.addHandler(file_handler)
+        self._logger.setLevel(logging.INFO)
+
+        self._logger.info("OpenAI Chat Service started.")
+
+        self._message_count = 0
+
+    def _get_message_id(self):
+
+        self._message_count += 1
+
+        return self._message_count
 
     def get_client(self,
+                   *,
                    model_name: str,
                    set_assistant: bool = False,
-                   **model_kwargs: dict[str, typing.Any]) -> OpenAIChatClient:
+                   max_retries: int = 10,
+                   **model_kwargs) -> OpenAIChatClient:
         """
         Returns a client for interacting with a specific model. This method is the preferred way to create a client.
 
@@ -207,8 +380,18 @@ def get_client(self,
         set_assistant: bool, optional default=False
             When `True`, a second input field named `assistant` will be used to proide additional context to the model.
 
+        max_retries: int, optional default=10
+            The maximum number of retries to attempt when making a request to the OpenAI API.
+
         model_kwargs : dict[str, typing.Any]
-            Additional keyword arguments to pass to the model when generating text.
+            Additional keyword arguments to pass to the model when generating text. Arguments specified here will
+            overwrite the `default_model_kwargs` set in the service constructor
         """
 
-        return OpenAIChatClient(model_name=model_name, set_assistant=set_assistant, **model_kwargs)
+        final_model_kwargs = {**self._default_model_kwargs, **model_kwargs}
+
+        return OpenAIChatClient(self,
+                                model_name=model_name,
+                                set_assistant=set_assistant,
+                                max_retries=max_retries,
+                                **final_model_kwargs)
diff --git a/morpheus/llm/task_handlers/__init__.py b/morpheus/llm/task_handlers/__init__.py
index ce94db52fa..57bbf5c626 100644
--- a/morpheus/llm/task_handlers/__init__.py
+++ b/morpheus/llm/task_handlers/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/llm/task_handlers/simple_task_handler.py b/morpheus/llm/task_handlers/simple_task_handler.py
index fa02908220..8f225581b3 100644
--- a/morpheus/llm/task_handlers/simple_task_handler.py
+++ b/morpheus/llm/task_handlers/simple_task_handler.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -43,6 +43,7 @@ def __init__(self, output_columns: list[str] = None) -> None:
     def get_input_names(self) -> list[str]:
         return self._output_columns
 
+    # pylint: disable=invalid-overridden-method
     async def try_handle(self, context: LLMContext) -> list[ControlMessage]:
 
         input_dict = context.get_inputs()
diff --git a/morpheus/loaders/__init__.py b/morpheus/loaders/__init__.py
index 2ee8b2f12a..2ad665c777 100644
--- a/morpheus/loaders/__init__.py
+++ b/morpheus/loaders/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/loaders/file_to_df_loader.py b/morpheus/loaders/file_to_df_loader.py
index 3915ebbd0f..27b162d130 100644
--- a/morpheus/loaders/file_to_df_loader.py
+++ b/morpheus/loaders/file_to_df_loader.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/loaders/fsspec_loader.py b/morpheus/loaders/fsspec_loader.py
index aab87e4b1a..cdf5fa8b5c 100644
--- a/morpheus/loaders/fsspec_loader.py
+++ b/morpheus/loaders/fsspec_loader.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -26,7 +26,7 @@
 
 logger = logging.getLogger(__name__)
 
-dask_cluster = None
+DASK_CLUSTER = None
 
 
 @register_loader(FSSPEC_LOADER)
diff --git a/morpheus/loaders/sql_loader.py b/morpheus/loaders/sql_loader.py
index 098d0df53c..1e90f5fe5d 100644
--- a/morpheus/loaders/sql_loader.py
+++ b/morpheus/loaders/sql_loader.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/messages/__init__.py b/morpheus/messages/__init__.py
index 173f0c50b8..8aa18813c3 100644
--- a/morpheus/messages/__init__.py
+++ b/morpheus/messages/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/messages/data_class_prop.py b/morpheus/messages/data_class_prop.py
index 48e6476fff..fd1bcca4bd 100644
--- a/morpheus/messages/data_class_prop.py
+++ b/morpheus/messages/data_class_prop.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -44,6 +44,7 @@ def __init__(self,
         self.fget = fget
         self.fset = fset
         self.fdel = fdel
+        self.name = None
         if doc is None and fget is not None:
             doc = fget.__doc__
         self.__doc__ = doc
diff --git a/morpheus/messages/memory/__init__.py b/morpheus/messages/memory/__init__.py
index 58fafe10d8..a90ae3ccf8 100644
--- a/morpheus/messages/memory/__init__.py
+++ b/morpheus/messages/memory/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/messages/memory/inference_memory.py b/morpheus/messages/memory/inference_memory.py
index 74147df864..9bdc7b6503 100644
--- a/morpheus/messages/memory/inference_memory.py
+++ b/morpheus/messages/memory/inference_memory.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -123,7 +123,7 @@ class InferenceMemoryAE(InferenceMemory, cpp_class=None):
 
     Parameters
     ----------
-    input : cupy.ndarray
+    inputs : cupy.ndarray
         Inference input.
     seq_ids : cupy.ndarray
         Ids used to index from an inference input to a message. Necessary since there can be more inference
@@ -134,5 +134,5 @@ class InferenceMemoryAE(InferenceMemory, cpp_class=None):
     seq_ids: dataclasses.InitVar[cp.ndarray] = DataClassProp(InferenceMemory._get_tensor_prop,
                                                              InferenceMemory.set_input)
 
-    def __init__(self, *, count: int, input: cp.ndarray, seq_ids: cp.ndarray):
-        super().__init__(count=count, tensors={'input': input, 'seq_ids': seq_ids})
+    def __init__(self, *, count: int, inputs: cp.ndarray, seq_ids: cp.ndarray):
+        super().__init__(count=count, tensors={'input': inputs, 'seq_ids': seq_ids})
diff --git a/morpheus/messages/memory/response_memory.py b/morpheus/messages/memory/response_memory.py
index ef1cb3f488..89bcc2f053 100644
--- a/morpheus/messages/memory/response_memory.py
+++ b/morpheus/messages/memory/response_memory.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/messages/memory/tensor_memory.py b/morpheus/messages/memory/tensor_memory.py
index faec04c7fe..103240b15f 100644
--- a/morpheus/messages/memory/tensor_memory.py
+++ b/morpheus/messages/memory/tensor_memory.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/messages/message_base.py b/morpheus/messages/message_base.py
index 00c690e28d..fd4c2c5b92 100644
--- a/morpheus/messages/message_base.py
+++ b/morpheus/messages/message_base.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -72,5 +72,5 @@ class MessageData(MessageBase):
     def __getstate__(self):
         return self.__dict__
 
-    def __setstate__(self, d):
-        self.__dict__ = d
+    def __setstate__(self, state):
+        self.__dict__ = state
diff --git a/morpheus/messages/message_meta.py b/morpheus/messages/message_meta.py
index 5352ef034f..4609795591 100644
--- a/morpheus/messages/message_meta.py
+++ b/morpheus/messages/message_meta.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -24,6 +24,7 @@
 
 import morpheus._lib.messages as _messages
 from morpheus.messages.message_base import MessageBase
+from morpheus.utils.type_aliases import DataFrameType
 
 logger = logging.getLogger(__name__)
 
@@ -78,23 +79,26 @@ class MessageMeta(MessageBase, cpp_class=_messages.MessageMeta):
         Input rows in dataframe.
 
     """
-    _df: pd.DataFrame = dataclasses.field(init=False)
+    _df: DataFrameType = dataclasses.field(init=False)
     _mutex: threading.RLock = dataclasses.field(init=False, repr=False)
 
-    def __init__(self, df: pd.DataFrame) -> None:
+    def __init__(self, df: DataFrameType) -> None:
         super().__init__()
+        if isinstance(df, MessageMeta):
+            df = df.copy_dataframe()
+
         self._mutex = threading.RLock()
         self._df = df
 
     @property
-    def df(self) -> pd.DataFrame:
+    def df(self) -> DataFrameType:
         msg = ("Warning the df property returns a copy, please use the copy_dataframe method or the mutable_dataframe "
                "context manager to modify the DataFrame in-place instead.")
 
         warnings.warn(msg, DeprecationWarning)
         return self.copy_dataframe()
 
-    def copy_dataframe(self) -> pd.DataFrame:
+    def copy_dataframe(self) -> DataFrameType:
         return self._df.copy(deep=True)
 
     def mutable_dataframe(self):
diff --git a/morpheus/messages/multi_ae_message.py b/morpheus/messages/multi_ae_message.py
index 96617aef9a..f7ae84b197 100644
--- a/morpheus/messages/multi_ae_message.py
+++ b/morpheus/messages/multi_ae_message.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/messages/multi_inference_ae_message.py b/morpheus/messages/multi_inference_ae_message.py
index 4110ba6fe6..e1605f1bcb 100644
--- a/morpheus/messages/multi_inference_ae_message.py
+++ b/morpheus/messages/multi_inference_ae_message.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/messages/multi_inference_message.py b/morpheus/messages/multi_inference_message.py
index 884d36678e..a3b563ca44 100644
--- a/morpheus/messages/multi_inference_message.py
+++ b/morpheus/messages/multi_inference_message.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/messages/multi_message.py b/morpheus/messages/multi_message.py
index 2f18de1c62..44e1bb6cba 100644
--- a/morpheus/messages/multi_message.py
+++ b/morpheus/messages/multi_message.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -186,7 +186,7 @@ def get_meta(self, columns: typing.Union[None, str, typing.List[str]] = None):
         ----------
         columns : typing.Union[None, str, typing.List[str]]
             Input column names. Returns all columns if `None` is specified. When a string is passed, a `Series` is
-            returned. Otherwise a `Dataframe` is returned.
+            returned. Otherwise, a `Dataframe` is returned.
 
         Returns
         -------
@@ -270,23 +270,29 @@ def set_meta(self, columns: typing.Union[None, str, typing.List[str]], value):
                 # cudf is really bad at adding new columns
                 if (isinstance(df, cudf.DataFrame)):
 
-                    saved_index = None
+                    # TODO(morpheus#1487): This logic no longer works in CUDF 24.04.
+                    # We should find a way to reinable the no-dropped-index path as
+                    # that should be more performant than dropping the index.
+                    # # saved_index = None
 
-                    # Check to see if we can use slices
-                    if (not (df.index.is_unique and
-                             (df.index.is_monotonic_increasing or df.index.is_monotonic_decreasing))):
-                        # Save the index and reset
-                        saved_index = df.index
+                    # # # Check to see if we can use slices
+                    # # if (not (df.index.is_unique and
+                    # #          (df.index.is_monotonic_increasing or df.index.is_monotonic_decreasing))):
+                    # #     # Save the index and reset
+                    # #     saved_index = df.index
+                    # #     df.reset_index(drop=True, inplace=True)
 
-                        df.reset_index(drop=True, inplace=True)
+                    # # # Perform the update via slices
+                    # # df.loc[df.index[row_indexer], columns] = value
 
-                    # Perform the update via slices
-                    df.loc[df.index[row_indexer], columns] = value
-
-                    # Reset the index if we changed it
-                    if (saved_index is not None):
-                        df.set_index(saved_index, inplace=True)
+                    # # # Reset the index if we changed it
+                    # # if (saved_index is not None):
+                    # #     df.set_index(saved_index, inplace=True)
 
+                    saved_index = df.index
+                    df.reset_index(drop=True, inplace=True)
+                    df.loc[df.index[row_indexer], columns] = value
+                    df.set_index(saved_index, inplace=True)
                 else:
                     # Need to determine the boolean mask to use indexes with df.loc
                     row_mask = self._ranges_to_mask(df, [(self.mess_offset, self.mess_offset + self.mess_count)])
diff --git a/morpheus/messages/multi_response_message.py b/morpheus/messages/multi_response_message.py
index 0ca3526990..51a81ce39b 100644
--- a/morpheus/messages/multi_response_message.py
+++ b/morpheus/messages/multi_response_message.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -186,7 +186,7 @@ def __init__(self,
                  user_id: str = None):
 
         if (user_id is None):
-            raise ValueError("Must define `user_id` when creating {}".format(self.__class__.__name__))
+            raise ValueError(f"Must define `user_id` when creating {self.__class__.__name__}")
 
         self.user_id = user_id
 
diff --git a/morpheus/messages/multi_tensor_message.py b/morpheus/messages/multi_tensor_message.py
index 952ea45a2c..573eee9bd8 100644
--- a/morpheus/messages/multi_tensor_message.py
+++ b/morpheus/messages/multi_tensor_message.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -28,7 +28,7 @@
 @dataclasses.dataclass
 class MultiTensorMessage(MultiMessage, cpp_class=_messages.MultiTensorMessage):
     """
-    This class contains several inference responses as well as the cooresponding message metadata.
+    This class contains several inference responses as well as the corresponding message metadata.
 
     Parameters
     ----------
@@ -113,7 +113,7 @@ def __getattr__(self, name: str) -> typing.Any:
 
         if hasattr(super(), "__getattr__"):
             return super().__getattr__(name)
-        raise AttributeError
+        raise AttributeError(f'No attribute named "{name}" exists')
 
     def _check_id_tensor(self):
 
diff --git a/morpheus/models/__init__.py b/morpheus/models/__init__.py
index a1dd01f33d..c2002fd3fb 100644
--- a/morpheus/models/__init__.py
+++ b/morpheus/models/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
diff --git a/morpheus/models/dfencoder/__init__.py b/morpheus/models/dfencoder/__init__.py
index c076c34b6d..f0e9776656 100644
--- a/morpheus/models/dfencoder/__init__.py
+++ b/morpheus/models/dfencoder/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/models/dfencoder/ae_module.py b/morpheus/models/dfencoder/ae_module.py
index d095800057..2422f07ae7 100644
--- a/morpheus/models/dfencoder/ae_module.py
+++ b/morpheus/models/dfencoder/ae_module.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/models/dfencoder/autoencoder.py b/morpheus/models/dfencoder/autoencoder.py
index 820362cf8d..df429bbdf5 100644
--- a/morpheus/models/dfencoder/autoencoder.py
+++ b/morpheus/models/dfencoder/autoencoder.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -233,6 +233,9 @@ def get_scaler(self, name):
         }
         return scalers[name]
 
+    def get_feature_count(self):
+        return len(self.numeric_fts) + len(self.binary_fts) + len(self.categorical_fts)
+
     def _init_numeric(self, df=None):
         """Initializes the numerical features of the model by either using preset numerical scaler parameters
         or by using the input data.
@@ -626,8 +629,10 @@ def preprocess_data(
         return preprocessed_data
 
     def compute_loss(self, num, bin, cat, target_df, should_log=True, _id=False):
+
         num_target, bin_target, codes = self.compute_targets(target_df)
-        return self.compute_loss_from_targets(
+
+        mse, bce, cce, net = self.compute_loss_from_targets(
             num=num,
             bin=bin,
             cat=cat,
@@ -638,6 +643,10 @@ def compute_loss(self, num, bin, cat, target_df, should_log=True, _id=False):
             _id=_id,
         )
 
+        net = net.cpu().item()
+
+        return mse, bce, cce, net
+
     def compute_loss_from_targets(self, num, bin, cat, num_target, bin_target, cat_target, should_log=True, _id=False):
         """Computes the loss from targets.
 
@@ -670,38 +679,45 @@ def compute_loss_from_targets(self, num, bin, cat, num_target, bin_target, cat_t
                 should_log = True
             else:
                 should_log = False
-        net_loss = []
-        mse_loss = self.mse(num, num_target)
-        net_loss += list(mse_loss.mean(dim=0).cpu().detach().numpy())
-        mse_loss = mse_loss.mean()
-        bce_loss = self.bce(bin, bin_target)
 
-        net_loss += list(bce_loss.mean(dim=0).cpu().detach().numpy())
-        bce_loss = bce_loss.mean()
-        cce_loss = []
-        for i, ft in enumerate(self.categorical_fts):
-            loss = self.cce(cat[i], cat_target[i])
-            loss = loss.mean()
-            cce_loss.append(loss)
-            val = loss.cpu().item()
-            net_loss += [val]
+        # Calculate the numerical loss (per feature)
+        mse_loss: torch.Tensor = self.mse(num, num_target).mean(dim=0)
+
+        # Calculate the binary loss (per feature)
+        bce_loss: torch.Tensor = self.bce(bin, bin_target).mean(dim=0)
+
+        # To calc the categorical loss, we need to average the loss of each categorical feature independently (since
+        # they will have a different number of categories)
+        cce_loss_list = []
+
+        for i in range(len(self.categorical_fts)):
+            # Take the full mean but ensure the output is a 1x1 tensor to make it easier to concatenate
+            cce_loss_list.append(self.cce(cat[i], cat_target[i]).mean(dim=0, keepdim=True))
+
+        if (len(cce_loss_list) > 0):
+            cce_loss = torch.cat(cce_loss_list)
+        else:
+            cce_loss = torch.Tensor().to(self.device)
+
+        # The net loss should have one loss per feature
+        net_loss = 0
+        for loss in [mse_loss, bce_loss, cce_loss]:
+            if len(loss) > 0:
+                net_loss += loss.sum()
+        net_loss /= self.get_feature_count()
+
         if should_log:
+            # Convert it to a list of numpy
+            net_loss_list = torch.cat((mse_loss, bce_loss, cce_loss)).tolist()
+
             if self.training:
-                self.logger.training_step(net_loss)
+                self.logger.training_step(net_loss_list)
             elif _id:
-                self.logger.id_val_step(net_loss)
+                self.logger.id_val_step(net_loss_list)
             elif not self.training:
-                self.logger.val_step(net_loss)
-
-        net_loss = np.array(net_loss).mean()
-        return mse_loss, bce_loss, cce_loss, net_loss
+                self.logger.val_step(net_loss_list)
 
-    def do_backward(self, mse, bce, cce):
-        # running `backward()` seperately on mse/bce/cce is equivalent to summing them up and run `backward()` once
-        loss_fn = mse + bce
-        for ls in cce:
-            loss_fn += ls
-        loss_fn.backward()
+        return mse_loss.mean(), bce_loss.mean(), cce_loss.mean(), net_loss
 
     def compute_baseline_performance(self, in_, out_):
         """
@@ -729,6 +745,7 @@ def compute_baseline_performance(self, in_, out_):
             codes_pred.append(pred)
         mse_loss, bce_loss, cce_loss, net_loss = self.compute_loss(num_pred, bin_pred, codes_pred, out_,
                                                                    should_log=False)
+
         if isinstance(self.logger, BasicLogger):
             self.logger.baseline_loss = net_loss
         return net_loss
@@ -981,11 +998,11 @@ def _fit_batch(self, input_swapped, num_target, bin_target, cat_target, **kwargs
             cat_target=cat_target,
             should_log=True,
         )
-        self.do_backward(mse, bce, cce)
+        net_loss.backward()
         self.optim.step()
         self.optim.zero_grad()
 
-        return net_loss
+        return net_loss.cpu().item()
 
     def _compute_baseline_performance_from_dataset(self, validation_dataset):
         self.eval()
@@ -1028,7 +1045,7 @@ def _compute_batch_baseline_performance(
             cat_target=cat_target,
             should_log=False
         )
-        return net_loss
+        return net_loss.cpu().item()
 
     def _validate_dataset(self, validation_dataset, rank=None):
         """Runs a validation loop on the given validation dataset, computing and returning the average loss of both the original
@@ -1108,7 +1125,7 @@ def _validate_batch(self, input_original, input_swapped, num_target, bin_target,
             cat_target=cat_target,
             should_log=True,
         )
-        return orig_net_loss, net_loss
+        return orig_net_loss.cpu().item(), net_loss.cpu().item()
 
     def _populate_loss_stats_from_dataset(self, dataset):
         """Populates the `self.feature_loss_stats` dict with feature losses computed using the provided dataset.
diff --git a/morpheus/models/dfencoder/dataframe.py b/morpheus/models/dfencoder/dataframe.py
index 5174e91e50..c15cc63543 100644
--- a/morpheus/models/dfencoder/dataframe.py
+++ b/morpheus/models/dfencoder/dataframe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/models/dfencoder/dataloader.py b/morpheus/models/dfencoder/dataloader.py
index 1b2e7ecec1..2e9f7cd560 100644
--- a/morpheus/models/dfencoder/dataloader.py
+++ b/morpheus/models/dfencoder/dataloader.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/models/dfencoder/distributed_ae.py b/morpheus/models/dfencoder/distributed_ae.py
index f92cc96df3..4c842f17b6 100644
--- a/morpheus/models/dfencoder/distributed_ae.py
+++ b/morpheus/models/dfencoder/distributed_ae.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/models/dfencoder/logging.py b/morpheus/models/dfencoder/logging.py
index c835221f97..fdec268c91 100644
--- a/morpheus/models/dfencoder/logging.py
+++ b/morpheus/models/dfencoder/logging.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/models/dfencoder/multiprocessing.py b/morpheus/models/dfencoder/multiprocessing.py
index 85e80eb789..38e35971a8 100644
--- a/morpheus/models/dfencoder/multiprocessing.py
+++ b/morpheus/models/dfencoder/multiprocessing.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/models/dfencoder/scalers.py b/morpheus/models/dfencoder/scalers.py
index ccd6c1cde0..04bed94fea 100644
--- a/morpheus/models/dfencoder/scalers.py
+++ b/morpheus/models/dfencoder/scalers.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/modules/__init__.py b/morpheus/modules/__init__.py
index fb5bb53025..6dead513c3 100644
--- a/morpheus/modules/__init__.py
+++ b/morpheus/modules/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/file_batcher.py b/morpheus/modules/file_batcher.py
index e18a464d97..05f0288096 100644
--- a/morpheus/modules/file_batcher.py
+++ b/morpheus/modules/file_batcher.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -80,7 +80,7 @@ def file_batcher(builder: mrc.Builder):
     sampling = config.get("sampling", None)
     sampling_rate_s = config.get("sampling_rate_s", None)
 
-    iso_date_regex_pattern = config.get("batch_iso_date_regex_pattern", DEFAULT_ISO_DATE_REGEX_PATTERN)
+    iso_date_regex_pattern = config.get("iso_date_regex_pattern", DEFAULT_ISO_DATE_REGEX_PATTERN)
     iso_date_regex = re.compile(iso_date_regex_pattern)
 
     if (sampling_rate_s is not None and sampling_rate_s > 0):
@@ -99,6 +99,7 @@ def file_batcher(builder: mrc.Builder):
         "sampling": sampling,
         "start_time": config.get("start_time"),
         "end_time": config.get("end_time"),
+        "iso_date_regex_pattern": iso_date_regex_pattern
     }
 
     default_file_to_df_opts = {
@@ -123,11 +124,19 @@ def build_period_batches(files: typing.List[str],
                              params: typing.Dict[any, any]) -> typing.List[typing.Tuple[typing.List[str], int]]:
         file_objects: fsspec.core.OpenFiles = fsspec.open_files(files)
 
+        nonlocal iso_date_regex_pattern
+        nonlocal iso_date_regex
+
+        if params["iso_date_regex_pattern"] != iso_date_regex_pattern:
+            iso_date_regex_pattern = params["iso_date_regex_pattern"]
+            iso_date_regex = re.compile(iso_date_regex_pattern)
+
         try:
             start_time = params["start_time"]
             end_time = params["end_time"]
             period = params["period"]
             sampling_rate_s = params["sampling_rate_s"]
+            sampling = params["sampling"]
 
             if not isinstance(start_time, (str, type(None))) or (start_time is not None
                                                                  and not re.match(r"\d{4}-\d{2}-\d{2}", start_time)):
@@ -137,14 +146,21 @@ def build_period_batches(files: typing.List[str],
                                                                and not re.match(r"\d{4}-\d{2}-\d{2}", end_time)):
                 raise ValueError(f"Invalid 'end_time' value: {end_time}")
 
-            if not isinstance(sampling_rate_s, int) or sampling_rate_s < 0:
-                raise ValueError(f"Invalid 'sampling_rate_s' value: {sampling_rate_s}")
+            if (sampling_rate_s is not None and sampling_rate_s > 0):
+                assert sampling is None, "Cannot set both sampling and sampling_rate_s at the same time"
+
+                # Show the deprecation message
+                warnings.warn(("The `sampling_rate_s` argument has been deprecated. "
+                               "Please use `sampling={sampling_rate_s}S` instead"),
+                              DeprecationWarning)
+
+                sampling = f"{sampling_rate_s}S"
 
             if (start_time is not None):
-                start_time = datetime.datetime.strptime(start_time, '%Y-%m-%d').replace(tzinfo=datetime.timezone.utc)
+                start_time = datetime.datetime.fromisoformat(start_time).replace(tzinfo=datetime.timezone.utc)
 
             if (end_time is not None):
-                end_time = datetime.datetime.strptime(end_time, '%Y-%m-%d').replace(tzinfo=datetime.timezone.utc)
+                end_time = datetime.datetime.fromisoformat(end_time).replace(tzinfo=datetime.timezone.utc)
 
         except Exception as exec_info:
             logger.error("Error parsing parameters: %s", (exec_info))
diff --git a/morpheus/modules/file_to_df.py b/morpheus/modules/file_to_df.py
index d7c053aef4..e9977ab8ac 100644
--- a/morpheus/modules/file_to_df.py
+++ b/morpheus/modules/file_to_df.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/filter_cm_failed.py b/morpheus/modules/filter_cm_failed.py
index 46be5478ed..e5bd54b535 100644
--- a/morpheus/modules/filter_cm_failed.py
+++ b/morpheus/modules/filter_cm_failed.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/filter_control_message.py b/morpheus/modules/filter_control_message.py
index bf72ab3d19..8ea2f6f5c0 100644
--- a/morpheus/modules/filter_control_message.py
+++ b/morpheus/modules/filter_control_message.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/filter_detections.py b/morpheus/modules/filter_detections.py
index 41a59639ac..94ef301862 100644
--- a/morpheus/modules/filter_detections.py
+++ b/morpheus/modules/filter_detections.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/from_control_message.py b/morpheus/modules/from_control_message.py
index 9f10fa9163..fd538fe12b 100644
--- a/morpheus/modules/from_control_message.py
+++ b/morpheus/modules/from_control_message.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/general/__init__.py b/morpheus/modules/general/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_monitor.py b/morpheus/modules/general/monitor.py
similarity index 66%
rename from examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_monitor.py
rename to morpheus/modules/general/monitor.py
index 7706af78c3..5cc545558d 100644
--- a/examples/digital_fingerprinting/production/morpheus/dfp/modules/dfp_monitor.py
+++ b/morpheus/modules/general/monitor.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,20 +17,21 @@
 from functools import partial
 
 import mrc
-from dfp.utils.module_ids import DFP_MONITOR
 from mrc.core import operators as ops
 from tqdm import tqdm
 
 from morpheus.controllers.monitor_controller import MonitorController
-from morpheus.utils.module_ids import MORPHEUS_MODULE_NAMESPACE
+from morpheus.utils.module_utils import ModuleLoaderFactory
 from morpheus.utils.module_utils import register_module
 from morpheus.utils.monitor_utils import MorpheusTqdm
 from morpheus.utils.monitor_utils import SilentMorpheusTqdm
 
 logger = logging.getLogger(f"morpheus.{__name__}")
 
+MonitorLoaderFactory = ModuleLoaderFactory("monitor", "morpheus")
 
-@register_module(DFP_MONITOR, MORPHEUS_MODULE_NAMESPACE)
+
+@register_module("monitor", "morpheus")
 def monitor(builder: mrc.Builder):
     """
     This module function is used for monitoring pipeline message rate.
@@ -38,25 +39,25 @@ def monitor(builder: mrc.Builder):
     Parameters
     ----------
     builder : mrc.Builder
-        Pipeline builder instance.
+        An mrc Builder object.
 
     Notes
     -----
-    Configurable parameters:
-        - description (str): Name to show for this Monitor Stage in the console window; Example: 'Progress';
-        Default: 'Progress'
-        - silence_monitors (bool): Slience the monitors on the console; Example: True; Default: False
-        - smoothing (float): Smoothing parameter to determine how much the throughput should be averaged.
-        0 = Instantaneous, 1 = Average.; Example: 0.01; Default: 0.05
-        - unit (str): Units to show in the rate value.; Example: 'messages'; Default: 'messages'
-        - delayed_start (bool): When delayed_start is enabled, the progress bar will not be shown until the first
-        message is received. Otherwise, the progress bar is shown on pipeline startup and will begin timing
-        immediately. In large pipelines, this option may be desired to give a more accurate timing;
-        Example: True; Default: False
-        - determine_count_fn_schema (str): Custom function for determining the count in a message. Gets called for
-        each message. Allows for correct counting of batched and sliced messages.; Example: func_str; Default: None
-        - log_level (str): Enable this stage when the configured log level is at `log_level` or lower;
-        Example: 'DEBUG'; Default: INFO
+        Configurable Parameters:
+            - description (str): Name for this Monitor Stage in the console window.
+              Example: 'Progress'; Default: 'Progress'.
+            - silence_monitors (bool): Silences the monitors on the console.
+              Example: True; Default: False.
+            - smoothing (float): Determines throughput smoothing. 0 = Instantaneous, 1 = Average.
+              Example: 0.01; Default: 0.05.
+            - unit (str): Units to display in the rate value.
+              Example: 'messages'; Default: 'messages'.
+            - delayed_start (bool): Delays the progress bar until the first message is received.
+              Useful for accurate timing in large pipelines. Example: True; Default: False.
+            - determine_count_fn_schema (str): Custom function for determining the count in a message,
+              suitable for batched and sliced messages. Example: func_str; Default: None.
+            - log_level (str): This stage is enabled when the configured log level is at `log_level`
+              or lower. Example: 'DEBUG'; Default: INFO.
     """
 
     config = builder.get_current_module_config()
@@ -102,11 +103,11 @@ def node_fn(obs: mrc.Observable, sub: mrc.Subscriber):
         # Set the monitor interval to 0 to use prevent using tqdms monitor
         tqdm.monitor_interval = 0
 
-    # Start the progress bar if we dont have a delayed start
+    # Start the progress bar if we don't have a delayed start
     if (not controller.delayed_start):
         controller.ensure_progress_bar()
 
-    node = builder.make_node(DFP_MONITOR, mrc.core.operators.build(node_fn))
+    node = builder.make_node("monitor", mrc.core.operators.build(node_fn))
 
     builder.register_module_input("input", node)
     builder.register_module_output("output", node)
diff --git a/morpheus/modules/input/__init__.py b/morpheus/modules/input/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/morpheus/modules/input/multi_file_source.py b/morpheus/modules/input/multi_file_source.py
new file mode 100644
index 0000000000..20b020e412
--- /dev/null
+++ b/morpheus/modules/input/multi_file_source.py
@@ -0,0 +1,181 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import time
+import typing
+
+import fsspec
+import mrc
+from pydantic import ValidationError
+
+from morpheus.modules.schemas.multi_file_source_schema import MultiFileSourceSchema
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+logger = logging.getLogger(f"morpheus.{__name__}")
+
+MultiFileSourceLoaderFactory = ModuleLoaderFactory("multi_file_source", "morpheus", MultiFileSourceSchema)
+
+
+def expand_paths_simple(filenames: typing.List[str]) -> typing.List[str]:
+    """
+    Expand to glob all files in any directories in the input filenames,
+    provided they actually exist.
+
+    Parameters
+    ----------
+    filenames : typing.List[str]
+        A list of filenames or directories to expand.
+
+    Returns
+    -------
+    typing.List[str]
+        A list of filenames with directories expanded to glob patterns.
+
+    Examples
+    --------
+    >>> expand_paths_simple(['/path/to/dir'])
+    ['/path/to/dir/*']
+
+    Notes
+    -----
+    If a filename in the list already contains a wildcard character (* or ?),
+    it is appended to the output list as is.
+    """
+    updated_list = []
+    fs_spec = fsspec.filesystem(protocol='file')
+    for file_name in filenames:
+        if '*' in file_name or '?' in file_name:
+            updated_list.append(file_name)
+            continue
+
+        if (not fs_spec.exists(file_name)):
+            updated_list.append(file_name)
+            continue
+
+        if fs_spec.isdir(file_name):
+            updated_list.append(f"{file_name}/*")
+        else:
+            updated_list.append(file_name)
+
+    return updated_list
+
+
+@register_module("multi_file_source", "morpheus")
+def _multi_file_source(builder: mrc.Builder):
+    """
+    Creates a file source module for the Morpheus builder. This module reads files
+    from a specified source and processes them accordingly.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        The Morpheus builder instance to attach this module to.
+
+    Raises
+    ------
+    ValueError
+        If the source_config does not contain a list of filenames.
+
+    Notes
+    -----
+    - The module configuration parameters include:
+        - 'filenames': List of filenames or wildcard paths to read from.
+        - 'watch_dir': Boolean indicating whether to watch the directory for changes.
+        - 'watch_interval': Time interval (in seconds) for watching the directory.
+        - 'batch_size': The number of files to process in a batch.
+    """
+    module_config = builder.get_current_module_config()
+    source_config = module_config.get('source_config', {})
+
+    try:
+        validated_config = MultiFileSourceSchema(**source_config)
+    except ValidationError as e:
+        # Format the error message for better readability
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid configuration for file_content_extractor: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    filenames = expand_paths_simple(validated_config.filenames)
+    watch_dir = validated_config.watch_dir
+    watch_interval = validated_config.watch_interval
+    batch_size = validated_config.batch_size
+
+    def polling_generate_frames_fsspec():
+        files_seen = set()
+
+        while True:
+            start_time = time.monotonic()
+            next_update_epoch = start_time + watch_interval
+
+            if not filenames:
+                # Log warning or handle the case where filenames is None or empty
+                logger.warning("No filenames provided. Skipping iteration.")
+                time.sleep(watch_interval)
+                continue
+
+            files = fsspec.open_files(filenames)
+
+            new_files = [file for file in files if file.full_name not in files_seen]
+
+            # Update files_seen with the new set of files
+            files_seen.update(file.full_name for file in new_files)
+
+            # Process new files in batches
+            batch = []
+            for file in new_files:
+                batch.append(file)
+                if len(batch) >= batch_size or time.monotonic() - start_time >= 1.0:
+                    yield fsspec.core.OpenFiles(batch, fs=files.fs)
+                    batch = []
+                    start_time = time.monotonic()
+
+            # Yield remaining files if any
+            if batch:
+                yield fsspec.core.OpenFiles(batch, fs=files.fs)
+
+            # Sleep until the next update epoch
+            sleep_duration = next_update_epoch - time.monotonic()
+            if sleep_duration > 0:
+                time.sleep(sleep_duration)
+
+    def generate_frames_fsspec():
+        # Check if filenames is None or empty
+        if (not filenames):
+            logger.warning("Multi-file-source was provided with no filenames for processing this is probably not what"
+                           "you want")
+            return
+
+        files = fsspec.open_files(filenames)
+
+        # Check if the provided filenames resulted in any files being opened
+        if len(files) == 0:
+            logger.warning("Multi-file-source did not match any of the provided filter strings: %s. %s",
+                           filenames,
+                           "This is probably not what you want.")
+            return
+
+        logger.info("File source exhausted, discovered %s files.", len(files))
+
+        yield files
+
+    if (watch_dir):
+        node = builder.make_source("multi_file_source", polling_generate_frames_fsspec)
+    else:
+        node = builder.make_source("multi_file_source", generate_frames_fsspec)
+
+    builder.register_module_output("output", node)
diff --git a/morpheus/modules/input/rss_source.py b/morpheus/modules/input/rss_source.py
new file mode 100644
index 0000000000..6133e3d673
--- /dev/null
+++ b/morpheus/modules/input/rss_source.py
@@ -0,0 +1,126 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import time
+
+import mrc
+from pydantic import ValidationError
+
+from morpheus.controllers.rss_controller import RSSController
+from morpheus.messages import MessageMeta
+from morpheus.modules.schemas.rss_source_schema import RSSSourceSchema
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+logger = logging.getLogger(__name__)
+
+RSSSourceLoaderFactory = ModuleLoaderFactory("rss_source", "morpheus", RSSSourceSchema)
+
+
+@register_module("rss_source", "morpheus")
+def _rss_source(builder: mrc.Builder):
+    """
+    A module for applying simple DataFrame schema transform policies.
+
+    This module reads the configuration to determine how to set data types for columns, select, or rename them in the
+    dataframe.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        The Morpheus pipeline builder object.
+
+    Notes
+    -------------
+    The configuration should be passed to the module through the `module_config` attribute of the builder. It should
+    contain a dictionary where each key is a column name, and the value is another dictionary with keys 'dtype' for
+    data type, 'op_type' for operation type ('select' or 'rename'), and optionally 'from' for the original column
+    name (if the column is to be renamed).
+
+    Example Configuration
+    ---------------------
+    {
+        "summary": {"dtype": "str", "op_type": "select"},
+        "title": {"dtype": "str", "op_type": "select"},
+        "content": {"from": "page_content", "dtype": "str", "op_type": "rename"},
+        "source": {"from": "link", "dtype": "str", "op_type": "rename"}
+    }
+    """
+
+    module_config = builder.get_current_module_config()
+    rss_config = module_config.get("rss_source", {})
+    try:
+        validated_config = RSSSourceSchema(**rss_config)
+    except ValidationError as e:
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid RSS source configuration: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    # Initialize RSSController with validated configuration
+    controller = RSSController(feed_input=validated_config.feed_input,
+                               run_indefinitely=validated_config.run_indefinitely,
+                               batch_size=validated_config.batch_size,
+                               enable_cache=validated_config.enable_cache,
+                               cache_dir=validated_config.cache_dir,
+                               cooldown_interval=validated_config.cooldown_interval_sec,
+                               request_timeout=validated_config.request_timeout_sec)
+
+    stop_requested = False
+
+    def fetch_feeds() -> MessageMeta:
+        """
+        Fetch RSS feed entries and yield as MessageMeta object.
+        """
+        nonlocal stop_requested
+        records_emitted = 0
+
+        while (not stop_requested):
+            try:
+                for df in controller.fetch_dataframes():
+                    df_size = len(df)
+
+                    if logger.isEnabledFor(logging.DEBUG):
+                        logger.info("Received %d new entries...", df_size)
+                        logger.info("Emitted %d records so far.", records_emitted)
+
+                    yield MessageMeta(df=df)
+
+                    records_emitted += df_size
+
+                    if (0 < validated_config.stop_after_sec <= records_emitted):
+                        stop_requested = True
+                        logger.info("Stop limit reached... preparing to halt the source.")
+                        break
+
+            except Exception as exc:
+                if not controller.run_indefinitely:
+                    logger.error("Failed either in the process of fetching or processing entries: %d.", exc)
+                    raise
+                logger.error("Failed either in the process of fetching or processing entries: %d.", exc)
+
+            if not controller.run_indefinitely:
+                stop_requested = True
+                continue
+
+            logger.info("Waiting for %d seconds before fetching again...", validated_config.interval_sec)
+            time.sleep(validated_config.interval_sec)
+
+        logger.info("RSS source exhausted, stopping.")
+
+    node = builder.make_source("fetch_feeds", fetch_feeds)
+
+    builder.register_module_output("output", node)
diff --git a/morpheus/modules/logical/__init__.py b/morpheus/modules/logical/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/morpheus/modules/mlflow_model_writer.py b/morpheus/modules/mlflow_model_writer.py
index 6c842d64d3..39846c4d0c 100644
--- a/morpheus/modules/mlflow_model_writer.py
+++ b/morpheus/modules/mlflow_model_writer.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/output/__init__.py b/morpheus/modules/output/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/morpheus/modules/output/write_to_vector_db.py b/morpheus/modules/output/write_to_vector_db.py
new file mode 100644
index 0000000000..c141aef7c6
--- /dev/null
+++ b/morpheus/modules/output/write_to_vector_db.py
@@ -0,0 +1,263 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import pickle
+import time
+import typing
+from dataclasses import dataclass
+
+import mrc
+from mrc.core import operators as ops
+from pydantic import ValidationError
+
+import cudf
+
+from morpheus.messages import ControlMessage
+from morpheus.messages import MultiMessage
+from morpheus.messages import MultiResponseMessage
+from morpheus.modules.schemas.write_to_vector_db_schema import WriteToVDBSchema
+from morpheus.service.vdb.milvus_client import DATA_TYPE_MAP
+from morpheus.service.vdb.utils import VectorDBServiceFactory
+from morpheus.service.vdb.vector_db_service import VectorDBService
+from morpheus.utils.module_ids import MORPHEUS_MODULE_NAMESPACE
+from morpheus.utils.module_ids import WRITE_TO_VECTOR_DB
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+logger = logging.getLogger(__name__)
+
+WriteToVectorDBLoaderFactory = ModuleLoaderFactory(WRITE_TO_VECTOR_DB, MORPHEUS_MODULE_NAMESPACE)
+
+
+def preprocess_vdb_resources(service, recreate: bool, resource_schemas: dict):
+    for resource_name, resource_schema_config in resource_schemas.items():
+        has_object = service.has_store_object(name=resource_name)
+
+        if (recreate and has_object):
+            # Delete the existing resource
+            service.drop(name=resource_name)
+            has_object = False
+
+        # Ensure that the resource exists
+        if (not has_object):
+            # TODO(Devin)
+            import pymilvus
+            schema_fields = []
+            for field_data in resource_schema_config["schema_conf"]["schema_fields"]:
+                if "dtype" in field_data:
+                    field_data["dtype"] = DATA_TYPE_MAP.get(field_data["dtype"])
+                    field_schema = pymilvus.FieldSchema(**field_data)
+                    schema_fields.append(field_schema.to_dict())
+                else:
+                    schema_fields.append(field_data)
+
+            resource_schema_config["schema_conf"]["schema_fields"] = schema_fields
+            # function that we need to call first to turn resource_kwargs into a milvus config spec.
+
+            service.create(name=resource_name, **resource_schema_config)
+
+
+@dataclass
+class AccumulationStats:
+    msg_count: int
+    last_insert_time: float
+    data: list[cudf.DataFrame]
+
+
+@register_module(WRITE_TO_VECTOR_DB, MORPHEUS_MODULE_NAMESPACE)
+def _write_to_vector_db(builder: mrc.Builder):
+    """
+    Deserializes incoming messages into either MultiMessage or ControlMessage format.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        The Morpheus builder instance to attach this module to.
+
+    Notes
+    -----
+    The `module_config` should contain:
+    - 'embedding_column_name': str, the name of the column containing embeddings (default is "embedding").
+    - 'recreate': bool, whether to recreate the resource if it already exists (default is False).
+    - 'service': str, the name of the service or a serialized instance of VectorDBService.
+    - 'is_service_serialized': bool, whether the provided service is serialized (default is False).
+    - 'default_resource_name': str, the name of the collection resource (must not be None or empty).
+    - 'resource_kwargs': dict, additional keyword arguments for resource creation.
+    - 'resource_schemas': dict, additional keyword arguments for resource creation.
+    - 'service_kwargs': dict, additional keyword arguments for VectorDBService creation.
+    - 'batch_size': int, accumulates messages until reaching the specified batch size for writing to VDB.
+    - 'write_time_interval': float, specifies the time interval (in seconds) for writing messages, or writing messages
+    when the accumulated batch size is reached.
+
+    Raises
+    ------
+    ValueError
+        If 'resource_name' is None or empty.
+        If 'service' is not provided or is not a valid service name or a serialized instance of VectorDBService.
+    """
+
+    module_config = builder.get_current_module_config()
+
+    try:
+        write_to_vdb_config = WriteToVDBSchema(**module_config)
+    except ValidationError as e:
+        # Format the error message for better readability
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid configuration for write_to_vector_db: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    embedding_column_name = write_to_vdb_config.embedding_column_name
+    recreate = write_to_vdb_config.recreate
+    service = write_to_vdb_config.service
+    is_service_serialized = write_to_vdb_config.is_service_serialized
+    default_resource_name = write_to_vdb_config.default_resource_name
+    resource_kwargs = write_to_vdb_config.resource_kwargs
+    resource_schemas = write_to_vdb_config.resource_schemas
+    service_kwargs = write_to_vdb_config.service_kwargs
+    batch_size = write_to_vdb_config.batch_size
+    write_time_interval = write_to_vdb_config.write_time_interval
+
+    # Check if service is serialized and convert if needed
+    # pylint: disable=not-a-mapping
+    service: VectorDBService = (pickle.loads(bytes(service, "latin1")) if is_service_serialized else
+                                VectorDBServiceFactory.create_instance(service_name=service, **service_kwargs))
+
+    preprocess_vdb_resources(service, recreate, resource_schemas)
+
+    accumulator_dict = {default_resource_name: AccumulationStats(msg_count=0, last_insert_time=-1, data=[])}
+
+    def on_completed():
+        final_df_references = []
+
+        # Pushing remaining messages
+        for key, accum_stats in accumulator_dict.items():
+            try:
+                if accum_stats.data:
+                    merged_df = cudf.concat(accum_stats.data)
+                    service.insert_dataframe(name=key, df=merged_df)
+                    final_df_references.append(accum_stats.data)
+            except Exception as e:
+                logger.error("Unable to upload dataframe entries to vector database: %s", e)
+        # Close vector database service connection
+        service.close()
+
+    def extract_df(msg: typing.Union[ControlMessage, MultiResponseMessage, MultiMessage]):
+        df = None
+        resource_name = None
+
+        if isinstance(msg, ControlMessage):
+            df = msg.payload().df
+            if (msg.has_metadata("vdb_resource")):
+                resource_name = msg.get_metadata("vdb_resource")
+            else:
+                resource_name = None
+        elif isinstance(msg, MultiResponseMessage):
+            df = msg.get_meta()
+            if df is not None and not df.empty:
+                embeddings = msg.get_probs_tensor()
+                df[embedding_column_name] = embeddings.tolist()
+        elif isinstance(msg, MultiMessage):
+            df = msg.get_meta()
+        else:
+            raise RuntimeError(f"Unexpected message type '{type(msg)}' was encountered.")
+
+        return df, resource_name
+
+    def on_data(msg: typing.Union[ControlMessage, MultiResponseMessage, MultiMessage]):
+        msg_resource_target = None
+        try:
+            df, msg_resource_target = extract_df(msg)
+
+            if df is not None and not df.empty:
+                if (not isinstance(df, cudf.DataFrame)):
+                    df = cudf.DataFrame(df)
+
+                df_size = len(df)
+                current_time = time.time()
+
+                # Use default resource name
+                if not msg_resource_target:
+                    msg_resource_target = default_resource_name
+                    if not service.has_store_object(msg_resource_target):
+                        logger.error("Resource not exists in the vector database: %s", msg_resource_target)
+                        raise ValueError(f"Resource not exists in the vector database: {msg_resource_target}")
+
+                if msg_resource_target in accumulator_dict:
+                    accumulator: AccumulationStats = accumulator_dict[msg_resource_target]
+                    accumulator.msg_count += df_size
+                    accumulator.data.append(df)
+                else:
+                    accumulator_dict[msg_resource_target] = AccumulationStats(msg_count=df_size,
+                                                                              last_insert_time=-1,
+                                                                              data=[df])
+
+                for key, accum_stats in accumulator_dict.items():
+                    if accum_stats.msg_count >= batch_size or (accum_stats.last_insert_time != -1 and
+                                                               (current_time - accum_stats.last_insert_time)
+                                                               >= write_time_interval):
+                        if accum_stats.data:
+                            merged_df = cudf.concat(accum_stats.data)
+
+                            # pylint: disable=not-a-mapping
+                            service.insert_dataframe(name=key, df=merged_df, **resource_kwargs)
+                            # Reset accumulator stats
+                            accum_stats.data.clear()
+                            accum_stats.last_insert_time = current_time
+                            accum_stats.msg_count = 0
+
+                        if (isinstance(msg, ControlMessage)):
+                            msg.set_metadata(
+                                "insert_response",
+                                {
+                                    "status": "inserted",
+                                    "accum_count": 0,
+                                    "insert_count": df_size,
+                                    "succ_count": df_size,
+                                    "err_count": 0
+                                })
+                    else:
+                        logger.debug("Accumulated %d rows for collection: %s", accum_stats.msg_count, key)
+                        if (isinstance(msg, ControlMessage)):
+                            msg.set_metadata(
+                                "insert_response",
+                                {
+                                    "status": "accumulated",
+                                    "accum_count": df_size,
+                                    "insert_count": 0,
+                                    "succ_count": 0,
+                                    "err_count": 0
+                                })
+
+                return msg
+
+        except Exception as exc:
+            logger.error("Unable to insert into collection: %s due to %s", msg_resource_target, exc)
+            # TODO(Devin): This behavior is likely buggy; we need to decide whether or not to collect control messages
+            # and output all of them when an accumulation is flushed, or to simply mark a control message as "done",
+            # even if it is just accumulated.
+            if (isinstance(msg, ControlMessage)):
+                msg.set_metadata("insert_response", {"status": "failed", "err_count": 1})
+
+        return msg
+
+    node = builder.make_node(WRITE_TO_VECTOR_DB,
+                             ops.map(on_data),
+                             ops.filter(lambda val: val is not None),
+                             ops.on_completed(on_completed))
+
+    builder.register_module_input("input", node)
+    builder.register_module_output("output", node)
diff --git a/morpheus/modules/payload_batcher.py b/morpheus/modules/payload_batcher.py
index 18e4a70506..ca62a252bd 100644
--- a/morpheus/modules/payload_batcher.py
+++ b/morpheus/modules/payload_batcher.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -147,7 +147,14 @@ def _batch_dataframe_by_group(df: cudf.DataFrame) -> typing.List[cudf.DataFrame]
             # Period object conversion is not supported in cudf
             df[period_column] = df[period_column].to_pandas().dt.to_period(period).astype('str')
 
-        groups = df.groupby(group_by_columns)
+        if len(group_by_columns) == 1:
+            # Avoid warning from cudf regardning an upcoming change of behavior when applying a groupby to a single
+            # element list.
+            group_by_columns_ = group_by_columns[0]
+        else:
+            group_by_columns_ = group_by_columns
+
+        groups = df.groupby(group_by_columns_)
 
         dfs = []
         for _, group in groups:
diff --git a/morpheus/modules/preprocess/__init__.py b/morpheus/modules/preprocess/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/morpheus/modules/preprocess/deserialize.py b/morpheus/modules/preprocess/deserialize.py
new file mode 100644
index 0000000000..6fe3f0df66
--- /dev/null
+++ b/morpheus/modules/preprocess/deserialize.py
@@ -0,0 +1,234 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import typing
+import warnings
+from functools import partial
+
+import mrc
+from mrc.core import operators as ops
+from pydantic import ValidationError
+
+from morpheus.messages import ControlMessage
+from morpheus.messages import MessageMeta
+from morpheus.messages import MultiMessage
+from morpheus.modules.schemas.deserialize_schema import DeserializeSchema
+from morpheus.utils.module_utils import ModuleLoaderFactory
+from morpheus.utils.module_utils import register_module
+
+logger = logging.getLogger(__name__)
+
+DeserializeLoaderFactory = ModuleLoaderFactory("deserialize", "morpheus")
+
+
+def _check_slicable_index(message: MessageMeta, ensure_sliceable_index: bool = True):
+    """
+    Checks and ensures that the message index is sliceable.
+
+    Parameters
+    ----------
+    message : MessageMeta
+        The message to check for a sliceable index.
+    ensure_sliceable_index : bool, optional
+        Whether to ensure the message has a sliceable index.
+
+    Returns
+    -------
+    MessageMeta
+        The original or modified message with a sliceable index.
+    """
+    if (not message):
+        return None
+
+    if (not message.has_sliceable_index()):
+        if (ensure_sliceable_index):
+            old_index_name = message.ensure_sliceable_index()
+
+            if (old_index_name):
+                logger.warning(("Incoming MessageMeta does not have a unique and monotonic index. "
+                                "Updating index to be unique. "
+                                "Existing index will be retained in column '%s'"),
+                               old_index_name)
+
+        else:
+            warnings.warn(
+                "Detected a non-sliceable index on an incoming MessageMeta. "
+                "Performance when taking slices of messages may be degraded. "
+                "Consider setting `ensure_sliceable_index==True`",
+                RuntimeWarning)
+
+    return message
+
+
+def _process_dataframe_to_multi_message(message: MessageMeta, batch_size: int,
+                                        ensure_sliceable_index: bool) -> typing.List[MultiMessage]:
+    """
+    Processes a DataFrame into a list of MultiMessage objects.
+
+    Parameters
+    ----------
+    message : MessageMeta
+        The message containing the DataFrame to process.
+    batch_size : int
+        The size of each batch.
+    ensure_sliceable_index : bool
+        Whether to ensure the message has a sliceable index.
+
+    Returns
+    -------
+    list of MultiMessage
+        A list of MultiMessage objects.
+    """
+
+    message = _check_slicable_index(message, ensure_sliceable_index)
+
+    full_message = MultiMessage(meta=message)
+
+    # Now break it up by batches
+    output = []
+
+    for i in range(0, full_message.mess_count, batch_size):
+        output.append(full_message.get_slice(i, min(i + batch_size, full_message.mess_count)))
+
+    return output
+
+
+def _process_dataframe_to_control_message(message: MessageMeta,
+                                          batch_size: int,
+                                          ensure_sliceable_index: bool,
+                                          task_tuple: tuple[str, dict] | None) -> typing.List[ControlMessage]:
+    """
+    Processes a DataFrame into a list of ControlMessage objects.
+
+    Parameters
+    ----------
+    message : MessageMeta
+        The message containing the DataFrame to process.
+    batch_size : int
+        The size of each batch.
+    ensure_sliceable_index : bool
+        Whether to ensure the message has a sliceable index.
+    task_tuple : tuple[str, dict] | None
+        Optional task to add to the ControlMessage.
+
+    Returns
+    -------
+    list of ControlMessage
+        A list of ControlMessage objects.
+    """
+    message = _check_slicable_index(message, ensure_sliceable_index)
+
+    # Now break it up by batches
+    output = []
+
+    if (message.count > batch_size):
+        df = message.copy_dataframe()
+
+        # Break the message meta into smaller chunks
+        for i in range(0, message.count, batch_size):
+
+            ctrl_msg = ControlMessage()
+
+            ctrl_msg.payload(MessageMeta(df=df.iloc[i:i + batch_size]))
+
+            if (task_tuple is not None):
+                ctrl_msg.add_task(task_type=task_tuple[0], task=task_tuple[1])
+
+            output.append(ctrl_msg)
+    else:
+        ctrl_msg = ControlMessage()
+
+        ctrl_msg.payload(MessageMeta(message.df))
+
+        if (task_tuple is not None):
+            ctrl_msg.add_task(task_type=task_tuple[0], task=task_tuple[1])
+
+        output.append(ctrl_msg)
+
+    return output
+
+
+@register_module("deserialize", "morpheus")
+def _deserialize(builder: mrc.Builder):
+    """
+    Deserializes incoming messages into either MultiMessage or ControlMessage format.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        The Morpheus builder instance to attach this module to.
+
+    Notes
+    -----
+    The `module_config` should contain:
+    - 'ensure_sliceable_index': bool, whether to ensure messages have a sliceable index.
+    - 'message_type': type, the type of message to output (MultiMessage or ControlMessage).
+    - 'task_type': str, optional, the type of task for ControlMessages.
+    - 'task_payload': dict, optional, the payload for the task in ControlMessages.
+    - 'batch_size': int, the size of batches for message processing.
+    - 'max_concurrency': int, optional, the maximum concurrency for processing.
+    - 'should_log_timestamp': bool, optional, whether to log timestamps.
+    """
+
+    module_config = builder.get_current_module_config()
+
+    # Validate the module configuration using the contract
+    try:
+        deserializer_config = DeserializeSchema(**module_config)
+    except ValidationError as e:
+        error_messages = '; '.join([f"{error['loc'][0]}: {error['msg']}" for error in e.errors()])
+        log_error_message = f"Invalid deserialize configuration: {error_messages}"
+        logger.error(log_error_message)
+
+        raise
+
+    ensure_sliceable_index = deserializer_config.ensure_sliceable_index
+    message_type = ControlMessage if deserializer_config.message_type == "ControlMessage" else MultiMessage
+    task_type = deserializer_config.task_type
+    task_payload = deserializer_config.task_payload
+    batch_size = deserializer_config.batch_size
+    # max_concurrency = deserializer_config.max_concurrency
+    # should_log_timestamp = deserializer_config.should_log_timestamp
+
+    if (task_type is not None) != (task_payload is not None):
+        raise ValueError("task_type and task_payload must be both specified or both None")
+
+    if (task_type is not None or task_payload is not None) and message_type != ControlMessage:
+        raise ValueError("task_type and task_payload can only be specified for ControlMessage")
+
+    if (message_type == MultiMessage):
+        map_func = partial(_process_dataframe_to_multi_message,
+                           batch_size=batch_size,
+                           ensure_sliceable_index=ensure_sliceable_index)
+    elif (message_type == ControlMessage):
+        if (task_type is not None and task_payload is not None):
+            task_tuple = (task_type, task_payload)
+        else:
+            task_tuple = None
+
+        map_func = partial(_process_dataframe_to_control_message,
+                           batch_size=batch_size,
+                           ensure_sliceable_index=ensure_sliceable_index,
+                           task_tuple=task_tuple)
+    else:
+        raise ValueError(f"Invalid message_type: {message_type}")
+
+    node = builder.make_node("deserialize",
+                             ops.map(map_func),
+                             ops.flatten(),
+                             ops.filter(lambda message: message is not None))
+
+    builder.register_module_input("input", node)
+    builder.register_module_output("output", node)
diff --git a/morpheus/modules/schemas/__init__.py b/morpheus/modules/schemas/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/morpheus/modules/schemas/deserialize_schema.py b/morpheus/modules/schemas/deserialize_schema.py
new file mode 100644
index 0000000000..06486ad152
--- /dev/null
+++ b/morpheus/modules/schemas/deserialize_schema.py
@@ -0,0 +1,35 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+from typing import Any
+from typing import Dict
+from typing import Optional
+
+from pydantic import BaseModel
+
+logger = logging.getLogger(__name__)
+
+
+class DeserializeSchema(BaseModel):
+    ensure_sliceable_index: bool = True
+    message_type: str = "MultiMessage"
+    task_type: Optional[str] = None
+    task_payload: Optional[Dict[Any, Any]] = None
+    batch_size: int = 1024
+    max_concurrency: int = 1
+    should_log_timestamp: bool = True
+
+    class Config:
+        extra = "forbid"
diff --git a/morpheus/modules/schemas/multi_file_source_schema.py b/morpheus/modules/schemas/multi_file_source_schema.py
new file mode 100644
index 0000000000..fdc36e0c36
--- /dev/null
+++ b/morpheus/modules/schemas/multi_file_source_schema.py
@@ -0,0 +1,31 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+from typing import List
+
+from pydantic import BaseModel
+from pydantic import Field
+
+logger = logging.getLogger(f"morpheus.{__name__}")
+
+
+class MultiFileSourceSchema(BaseModel):
+    filenames: List[str] = Field(default_factory=list)
+    watch_dir: bool = False
+    watch_interval: float = 1.0
+    batch_size: int = 128
+
+    class Config:
+        extra = "forbid"
diff --git a/morpheus/modules/schemas/rss_source_schema.py b/morpheus/modules/schemas/rss_source_schema.py
new file mode 100644
index 0000000000..b0468b1ace
--- /dev/null
+++ b/morpheus/modules/schemas/rss_source_schema.py
@@ -0,0 +1,36 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+from typing import List
+
+from pydantic import BaseModel
+from pydantic import Field
+
+logger = logging.getLogger(__name__)
+
+
+class RSSSourceSchema(BaseModel):
+    feed_input: List[str] = Field(default_factory=list)
+    run_indefinitely: bool = True
+    batch_size: int = 128
+    enable_cache: bool = False
+    cache_dir: str = "./.cache/http"
+    cooldown_interval_sec: int = 600
+    request_timeout_sec: float = 2.0
+    interval_sec: int = 600
+    stop_after_sec: int = 0
+
+    class Config:
+        extra = "forbid"
diff --git a/morpheus/modules/schemas/write_to_vector_db_schema.py b/morpheus/modules/schemas/write_to_vector_db_schema.py
new file mode 100644
index 0000000000..8000dabfbc
--- /dev/null
+++ b/morpheus/modules/schemas/write_to_vector_db_schema.py
@@ -0,0 +1,55 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+
+from pydantic import BaseModel
+from pydantic import Field
+from pydantic import validator
+
+from morpheus.utils.module_ids import MORPHEUS_MODULE_NAMESPACE
+from morpheus.utils.module_ids import WRITE_TO_VECTOR_DB
+from morpheus.utils.module_utils import ModuleLoaderFactory
+
+logger = logging.getLogger(__name__)
+
+WriteToVectorDBLoaderFactory = ModuleLoaderFactory(WRITE_TO_VECTOR_DB, MORPHEUS_MODULE_NAMESPACE)
+
+
+class WriteToVDBSchema(BaseModel):
+    embedding_column_name: str = "embedding"
+    recreate: bool = False
+    service: str = Field(default_factory=None)
+    is_service_serialized: bool = False
+    default_resource_name: str = Field(default_factory=None)
+    resource_schemas: dict = Field(default_factory=dict)
+    resource_kwargs: dict = Field(default_factory=dict)
+    service_kwargs: dict = Field(default_factory=dict)
+    batch_size: int = 1024
+    write_time_interval: float = 1.0
+
+    @validator('service', pre=True)
+    def validate_service(cls, to_validate):  # pylint: disable=no-self-argument
+        if not to_validate:
+            raise ValueError("Service must be a service name or a serialized instance of VectorDBService")
+        return to_validate
+
+    @validator('default_resource_name', pre=True)
+    def validate_resource_name(cls, to_validate):  # pylint: disable=no-self-argument
+        if not to_validate:
+            raise ValueError("Resource name must not be None or Empty.")
+        return to_validate
+
+    class Config:
+        extra = "forbid"
diff --git a/morpheus/modules/serialize.py b/morpheus/modules/serialize.py
index 9fd8b4bd31..31969a8f3a 100644
--- a/morpheus/modules/serialize.py
+++ b/morpheus/modules/serialize.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/to_control_message.py b/morpheus/modules/to_control_message.py
index 915d990ba2..2564f1a3ad 100644
--- a/morpheus/modules/to_control_message.py
+++ b/morpheus/modules/to_control_message.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/write_to_elasticsearch.py b/morpheus/modules/write_to_elasticsearch.py
index 9d64a5e186..28c8e0fcec 100644
--- a/morpheus/modules/write_to_elasticsearch.py
+++ b/morpheus/modules/write_to_elasticsearch.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/modules/write_to_file.py b/morpheus/modules/write_to_file.py
index c2a7b0b9b2..b0716ccd51 100644
--- a/morpheus/modules/write_to_file.py
+++ b/morpheus/modules/write_to_file.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/parsers/__init__.py b/morpheus/parsers/__init__.py
index 47b4d3b68e..12b56a0421 100644
--- a/morpheus/parsers/__init__.py
+++ b/morpheus/parsers/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/parsers/event_parser.py b/morpheus/parsers/event_parser.py
index dcf517bd8f..998232c130 100644
--- a/morpheus/parsers/event_parser.py
+++ b/morpheus/parsers/event_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/parsers/ip.py b/morpheus/parsers/ip.py
index 07b1d82b65..814d46f9dd 100644
--- a/morpheus/parsers/ip.py
+++ b/morpheus/parsers/ip.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/parsers/splunk_notable_parser.py b/morpheus/parsers/splunk_notable_parser.py
index eaac27e62a..10e781d903 100644
--- a/morpheus/parsers/splunk_notable_parser.py
+++ b/morpheus/parsers/splunk_notable_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/parsers/url_parser.py b/morpheus/parsers/url_parser.py
index 04eea30e47..bf3077a601 100644
--- a/morpheus/parsers/url_parser.py
+++ b/morpheus/parsers/url_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/parsers/windows_event_parser.py b/morpheus/parsers/windows_event_parser.py
index 7f6ebf6d6c..475c4a405d 100644
--- a/morpheus/parsers/windows_event_parser.py
+++ b/morpheus/parsers/windows_event_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/parsers/zeek.py b/morpheus/parsers/zeek.py
index 5ea856e267..44ef464e1f 100644
--- a/morpheus/parsers/zeek.py
+++ b/morpheus/parsers/zeek.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/pipeline/__init__.py b/morpheus/pipeline/__init__.py
index 86ffb4f7f4..169bddafe1 100644
--- a/morpheus/pipeline/__init__.py
+++ b/morpheus/pipeline/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,9 +15,25 @@
 All objects related to building and running a pipeline.
 """
 
+# Note: The pipeline module is unique in that we re-export all of the classes and functions from the submodules. To
+# avoid circular imports, we must import the classes in a specific order. And in each submodule, we should never import
+# the from pipeline submodules. Instead, we should import from the parent module as a namespace packag and then use the
+# fully qualified name to access the classes. For example, in morpheus/pipeline/stage.py:
+# Do not do this:
+# ```
+# from morpheus.pipeline.stage_base import StageBase
+# ```
+# Instead, do this:
+# ```
+# import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
+# class Stage(_pipeline.StageBase):
+# ```
+
 # These must be imported in a specific order
 # isort: off
 
+from morpheus.pipeline.boundary_stage_mixin import BoundaryStageMixin
+from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 from morpheus.pipeline.stage_schema import PortSchema
 from morpheus.pipeline.stage_schema import StageSchema
 from morpheus.pipeline.sender import Sender
diff --git a/examples/gnn_fraud_detection_pipeline/requirements.yml b/morpheus/pipeline/boundary_stage_mixin.py
similarity index 60%
rename from examples/gnn_fraud_detection_pipeline/requirements.yml
rename to morpheus/pipeline/boundary_stage_mixin.py
index e0f37be2cd..f721bcfa33 100644
--- a/examples/gnn_fraud_detection_pipeline/requirements.yml
+++ b/morpheus/pipeline/boundary_stage_mixin.py
@@ -1,11 +1,10 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
+# Copyright (c) 2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
-# http://www.apache.org/licenses/LICENSE-2.0
+#     http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
@@ -13,12 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-channels:
-    - rapidsai
-    - nvidia
-    - conda-forge
-    - dglteam/label/cu118
-    - defaults
-dependencies:
-    - cuml=23.06
-    - dgl=1.0.2
+from abc import ABC
+
+
+class BoundaryStageMixin(ABC):
+    """
+    Mixin intended to be added to both ingress and egress boundary stages, currently this only adds the ability to
+    identify boundary stages.
+    """
diff --git a/morpheus/pipeline/linear_pipeline.py b/morpheus/pipeline/linear_pipeline.py
index 4426a1ffad..7b8a4a767c 100644
--- a/morpheus/pipeline/linear_pipeline.py
+++ b/morpheus/pipeline/linear_pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,10 +15,8 @@
 import logging
 import typing
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.config import Config
-from morpheus.stages.boundary.linear_boundary_stage import LinearBoundaryEgressStage
-from morpheus.stages.boundary.linear_boundary_stage import LinearBoundaryIngressStage
 
 SinglePortStageT = typing.TypeVar("SinglePortStageT", bound=_pipeline.SinglePortStage)
 SourceT = typing.TypeVar("SourceT", bound=_pipeline.SourceStage)
@@ -138,6 +136,12 @@ def add_segment_boundary(self, data_type=None, as_shared_pointer=False):
         >>>
         >>> pipe.run()
         """
+
+        # Local imports to avoid circular dependencies
+        # pylint:disable=cyclic-import
+        from morpheus.stages.boundary.linear_boundary_stage import LinearBoundaryEgressStage
+        from morpheus.stages.boundary.linear_boundary_stage import LinearBoundaryIngressStage
+
         assert as_shared_pointer is False, "Shared pointers are not currently supported"
 
         if (len(self._linear_stages) == 0):
diff --git a/morpheus/pipeline/multi_message_stage.py b/morpheus/pipeline/multi_message_stage.py
index a9d49f9825..a5a45670e8 100644
--- a/morpheus/pipeline/multi_message_stage.py
+++ b/morpheus/pipeline/multi_message_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -14,11 +14,13 @@
 
 import logging
 import time
+import typing
 
 import mrc
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.messages import MultiMessage
 
 logger = logging.getLogger(__name__)
@@ -57,14 +59,17 @@ def _post_build_single(self, builder: mrc.Builder, out_node: mrc.SegmentObject)
 
             logger.info("Adding timestamp info for stage: '%s'", cached_name)
 
-            def post_timestamps(x: MultiMessage):
+            def post_timestamps(message: typing.Union[MultiMessage, ControlMessage]):
 
                 curr_time = _get_time_ms()
 
-                x.set_meta("_ts_" + cached_name, curr_time)
+                if (isinstance(message, MultiMessage)):
+                    message.set_meta("_ts_" + cached_name, curr_time)
+                else:
+                    message.set_metadata("_ts_" + cached_name, str(curr_time))
 
                 # Must return the original object
-                return x
+                return message
 
             # Only have one port
             post_ts = builder.make_node(self.unique_name + "-ts", post_timestamps)
diff --git a/morpheus/pipeline/pass_thru_type_mixin.py b/morpheus/pipeline/pass_thru_type_mixin.py
index 9033ccdb68..5473572180 100644
--- a/morpheus/pipeline/pass_thru_type_mixin.py
+++ b/morpheus/pipeline/pass_thru_type_mixin.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -14,7 +14,7 @@
 """Mixin for single port stages which receive and emit the same type."""
 from abc import ABC
 
-from morpheus.pipeline.stage_schema import StageSchema
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 
 
 class PassThruTypeMixin(ABC):
@@ -23,6 +23,6 @@ class PassThruTypeMixin(ABC):
     `typing.Any`, and who's output type is inferred from the output types of the parent stages.
     """
 
-    def compute_schema(self, schema: StageSchema):
+    def compute_schema(self, schema: _pipeline.StageSchema):
         for (port_idx, port_schema) in enumerate(schema.input_schemas):
             schema.output_schemas[port_idx].set_type(port_schema.get_type())
diff --git a/morpheus/pipeline/pipeline.py b/morpheus/pipeline/pipeline.py
index 568c848df4..180a9a2188 100644
--- a/morpheus/pipeline/pipeline.py
+++ b/morpheus/pipeline/pipeline.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,27 +17,32 @@
 import os
 import signal
 import sys
+import threading
 import typing
 from collections import OrderedDict
 from collections import defaultdict
+from enum import Enum
 from functools import partial
 
 import mrc
 import networkx
 from tqdm import tqdm
 
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.config import Config
-from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
-from morpheus.pipeline.receiver import Receiver
-from morpheus.pipeline.sender import Sender
-from morpheus.pipeline.source_stage import SourceStage
-from morpheus.pipeline.stage import Stage
-from morpheus.pipeline.stage_base import StageBase
 from morpheus.utils.type_utils import pretty_print_type_name
 
 logger = logging.getLogger(__name__)
 
-StageT = typing.TypeVar("StageT", bound=StageBase)
+StageT = typing.TypeVar("StageT", bound=_pipeline.StageBase)
+
+
+class PipelineState(Enum):
+    INITIALIZED = "initialized"
+    BUILT = "built"
+    STARTED = "started"
+    STOPPED = "stopped"
+    COMPLETED = "completed"
 
 
 class Pipeline():
@@ -55,16 +60,19 @@ class Pipeline():
     """
 
     def __init__(self, config: Config):
+
+        self._mutex = threading.RLock()
+
         self._source_count: int = None  # Maximum number of iterations for progress reporting. None = Unknown/Unlimited
 
         self._id_counter = 0
         self._num_threads = config.num_threads
 
         # Complete set of nodes across segments in this pipeline
-        self._stages: typing.Set[Stage] = set()
+        self._stages: typing.List[_pipeline.Stage] = []
 
         # Complete set of sources across segments in this pipeline
-        self._sources: typing.Set[SourceStage] = set()
+        self._sources: typing.List[_pipeline.SourceStage] = []
 
         # Dictionary containing segment information for this pipeline
         self._segments: typing.Dict = defaultdict(lambda: {"nodes": set(), "ingress_ports": [], "egress_ports": []})
@@ -74,19 +82,21 @@ def __init__(self, config: Config):
 
         self._segment_graphs = defaultdict(lambda: networkx.DiGraph())
 
-        self._is_built = False
-        self._is_started = False
+        self._state = PipelineState.INITIALIZED
 
         self._mrc_executor: mrc.Executor = None
 
         self._loop: asyncio.AbstractEventLoop = None
 
+        # Future that allows post_start to propagate exceptions back to pipeline
+        self._post_start_future: asyncio.Future = None
+
     @property
-    def is_built(self) -> bool:
-        return self._is_built
+    def state(self) -> PipelineState:
+        return self._state
 
     def _assert_not_built(self):
-        assert not self.is_built, "Pipeline has already been built. Cannot modify pipeline."
+        assert self._state == PipelineState.INITIALIZED, "Pipeline has already been built. Cannot modify pipeline."
 
     def add_stage(self, stage: StageT, segment_id: str = "main") -> StageT:
         """
@@ -107,12 +117,12 @@ def add_stage(self, stage: StageT, segment_id: str = "main") -> StageT:
         segment_graph = self._segment_graphs[segment_id]
 
         # Add to list of stages if it's a stage, not a source
-        if (isinstance(stage, Stage)):
+        if (isinstance(stage, _pipeline.Stage)):
             segment_nodes.add(stage)
-            self._stages.add(stage)
-        elif (isinstance(stage, SourceStage)):
+            self._stages.append(stage)
+        elif (isinstance(stage, _pipeline.SourceStage)):
             segment_nodes.add(stage)
-            self._sources.add(stage)
+            self._sources.append(stage)
         else:
             raise NotImplementedError(f"add_stage() failed. Unknown node type: {type(stage)}")
 
@@ -123,8 +133,8 @@ def add_stage(self, stage: StageT, segment_id: str = "main") -> StageT:
         return stage
 
     def add_edge(self,
-                 start: typing.Union[StageBase, Sender],
-                 end: typing.Union[Stage, Receiver],
+                 start: typing.Union[_pipeline.StageBase, _pipeline.Sender],
+                 end: typing.Union[_pipeline.Stage, _pipeline.Receiver],
                  segment_id: str = "main"):
         """
         Create an edge between two stages and add it to a segment in the pipeline.
@@ -143,7 +153,7 @@ def add_edge(self,
         """
         self._assert_not_built()
 
-        if (isinstance(start, StageBase)):
+        if (isinstance(start, _pipeline.StageBase)):
             assert len(start.output_ports) > 0, \
                 "Cannot call `add_edge` with a stage with no output ports as the `start` parameter"
             assert len(start.output_ports) == 1, \
@@ -151,10 +161,10 @@ def add_edge(self,
                  "instead `add_edge` must be called for each output port individually.")
             start_port = start.output_ports[0]
 
-        elif (isinstance(start, Sender)):
+        elif (isinstance(start, _pipeline.Sender)):
             start_port = start
 
-        if (isinstance(end, Stage)):
+        if (isinstance(end, _pipeline.Stage)):
             assert len(end.input_ports) > 0, \
                 "Cannot call `add_edge` with a stage with no input ports as the `end` parameter"
             assert len(end.input_ports) == 1, \
@@ -162,7 +172,7 @@ def add_edge(self,
                  "instead `add_edge` must be called for each input port individually.")
             end_port = end.input_ports[0]
 
-        elif (isinstance(end, Receiver)):
+        elif (isinstance(end, _pipeline.Receiver)):
             end_port = end
 
         start_port._output_receivers.append(end_port)
@@ -175,9 +185,9 @@ def add_edge(self,
                                end_port_idx=end_port.port_number)
 
     def add_segment_edge(self,
-                         egress_stage: Stage,
+                         egress_stage: _pipeline.BoundaryStageMixin,
                          egress_segment: str,
-                         ingress_stage: Stage,
+                         ingress_stage: _pipeline.BoundaryStageMixin,
                          ingress_segment: str,
                          port_pair: typing.Union[str, typing.Tuple[str, typing.Type, bool]]):
         """
@@ -205,6 +215,7 @@ def add_segment_edge(self,
                 * bool: If the type is a shared pointer (typically should be `False`)
         """
         self._assert_not_built()
+        assert isinstance(egress_stage, _pipeline.BoundaryStageMixin), "Egress stage must be a BoundaryStageMixin"
         egress_edges = self._segments[egress_segment]["egress_ports"]
         egress_edges.append({
             "port_pair": port_pair,
@@ -213,6 +224,7 @@ def add_segment_edge(self,
             "receiver_segment": ingress_segment
         })
 
+        assert isinstance(ingress_stage, _pipeline.BoundaryStageMixin), "Ingress stage must be a BoundaryStageMixin"
         ingress_edges = self._segments[ingress_segment]["ingress_ports"]
         ingress_edges.append({
             "port_pair": port_pair,
@@ -238,7 +250,7 @@ def _pre_build(self):
             # topo_sort provides a reasonable approximation.
             for stage in networkx.topological_sort(segment_graph):
                 needed_columns.update(stage.get_needed_columns())
-                if (isinstance(stage, PreallocatorMixin)):
+                if (isinstance(stage, _pipeline.PreallocatorMixin)):
                     preallocator_stages.append(stage)
 
                 if (stage.can_pre_build()):
@@ -260,7 +272,7 @@ def _pre_build(self):
             # Finally, execute the link phase (only necessary for circular pipelines)
             # for s in source_and_stages:
             for stage in segment_graph.nodes():
-                for port in typing.cast(StageBase, stage).input_ports:
+                for port in typing.cast(_pipeline.StageBase, stage).input_ports:
                     port.link_schema()
 
             logger.info("====Pre-Building Segment Complete!====")
@@ -276,7 +288,7 @@ def build(self):
         Once the pipeline has been constructed, this will start the pipeline by calling `Source.start` on the source
         object.
         """
-        assert not self._is_built, "Pipeline can only be built once!"
+        assert self._state == PipelineState.INITIALIZED, "Pipeline can only be built once!"
         assert len(self._sources) > 0, "Pipeline must have a source stage"
 
         self._pre_build()
@@ -316,7 +328,7 @@ def inner_build(builder: mrc.Builder, segment_id: str):
 
             # Finally, execute the link phase (only necessary for circular pipelines)
             for stage in segment_graph.nodes():
-                for port in typing.cast(StageBase, stage).input_ports:
+                for port in typing.cast(_pipeline.StageBase, stage).input_ports:
                     port.link_node(builder=builder)
 
             # Call the start method for the stages in this segment. Must run on the loop and wait for the result
@@ -338,19 +350,16 @@ def inner_build(builder: mrc.Builder, segment_id: str):
 
         self._mrc_executor.register_pipeline(mrc_pipeline)
 
-        self._is_built = True
+        with self._mutex:
+            self._state = PipelineState.BUILT
 
         logger.info("====Registering Pipeline Complete!====")
 
     async def _start(self):
-        assert self._is_built, "Pipeline must be built before starting"
-
-        # Only execute this once
-        if (self._is_started):
-            return
+        assert self._state == PipelineState.BUILT, "Pipeline must be built before starting"
 
-        # Stop from running this twice
-        self._is_started = True
+        with self._mutex:
+            self._state = PipelineState.STARTED
 
         # Save off the current loop so we can use it in async_start
         self._loop = asyncio.get_running_loop()
@@ -389,10 +398,35 @@ def term_signal():
 
         logger.info("====Pipeline Started====")
 
+        async def post_start(executor):
+
+            try:
+                # Make a local reference so the object doesn't go out of scope from a call to stop()
+                await executor.join_async()
+            except Exception:
+                logger.exception("Exception occurred in pipeline. Rethrowing")
+                raise
+            finally:
+                # Call join on all sources. This only occurs after all messages have been processed fully.
+                for source in list(self._sources):
+                    await source.join()
+
+                # Now call join on all stages
+                for stage in list(self._stages):
+                    await stage.join()
+
+                self._on_stop()
+
+                with self._mutex:
+                    self._state = PipelineState.COMPLETED
+
+        self._post_start_future = asyncio.create_task(post_start(self._mrc_executor))
+
     def stop(self):
         """
         Stops all running stages and the underlying MRC pipeline.
         """
+        assert self._state == PipelineState.STARTED, "Pipeline must be running to stop it"
 
         logger.info("====Stopping Pipeline====")
         for stage in list(self._sources) + list(self._stages):
@@ -400,52 +434,26 @@ def stop(self):
 
         self._mrc_executor.stop()
 
+        with self._mutex:
+            self._state = PipelineState.STOPPED
+
         logger.info("====Pipeline Stopped====")
         self._on_stop()
 
     async def join(self):
         """
-        Suspend execution all currently running stages and the MRC pipeline.
-        Typically called after `stop`.
+        Wait until pipeline completes upon which join methods of sources and stages will be called.
         """
-        try:
-            # If the pipeline failed any pre-flight checks self._mrc_executor will be None
-            if self._mrc_executor is None:
-                raise RuntimeError("Pipeline failed pre-flight checks.")
-
-            # Make a local reference so the object doesnt go out of scope from a call to stop()
-            executor = self._mrc_executor
-
-            await executor.join_async()
-        except Exception:
-            logger.exception("Exception occurred in pipeline. Rethrowing")
-            raise
-        finally:
-            # Make sure these are always shut down even if there was an error
-            for source in list(self._sources):
-                source.stop()
+        assert self._post_start_future is not None, "Pipeline must be started before joining"
 
-            # First wait for all sources to stop. This only occurs after all messages have been processed fully
-            for source in list(self._sources):
-                await source.join()
-
-            # Now that there is no more data, call stop on all stages to ensure shutdown (i.e., for stages that have
-            # their own worker loop thread)
-            for stage in list(self._stages):
-                stage.stop()
-
-            # Now call join on all stages
-            for stage in list(self._stages):
-                await stage.join()
-
-            self._on_stop()
+        await self._post_start_future
 
     def _on_stop(self):
         self._mrc_executor = None
 
-    async def _build_and_start(self):
+    async def build_and_start(self):
 
-        if (not self.is_built):
+        if (self._state == PipelineState.INITIALIZED):
             try:
                 self.build()
             except Exception:
@@ -457,8 +465,7 @@ async def _build_and_start(self):
     async def _async_start(self, stages: networkx.classes.reportviews.NodeView):
         # This method is called once for each segment in the pipeline executed on this host
         for stage in stages:
-            if (isinstance(stage, Stage)):
-                await stage.start_async()
+            await stage.start_async()
 
     def visualize(self, filename: str = None, **graph_kwargs):
         """
@@ -467,7 +474,7 @@ def visualize(self, filename: str = None, **graph_kwargs):
         exists it will be overwritten.  Requires the graphviz library.
         """
 
-        if not self._is_built:
+        if self._state == PipelineState.INITIALIZED:
             raise RuntimeError("Pipeline.visualize() requires that the Pipeline has been started before generating "
                                "the visualization. Please call Pipeline.build() or  Pipeline.run() before calling "
                                "Pipeline.visualize().")
@@ -499,7 +506,7 @@ def visualize(self, filename: str = None, **graph_kwargs):
         start_def_port = ":e" if is_lr else ":s"
         end_def_port = ":w" if is_lr else ":n"
 
-        def has_ports(node: StageBase, is_input):
+        def has_ports(node: _pipeline.StageBase, is_input):
             if (is_input):
                 return len(node.input_ports) > 0
 
@@ -510,7 +517,7 @@ def has_ports(node: StageBase, is_input):
             gv_subgraphs[segment_id] = graphviz.Digraph(f"cluster_{segment_id}")
             gv_subgraph = gv_subgraphs[segment_id]
             gv_subgraph.attr(label=segment_id)
-            for name, attrs in typing.cast(typing.Mapping[StageBase, dict],
+            for name, attrs in typing.cast(typing.Mapping[_pipeline.StageBase, dict],
                                            self._segment_graphs[segment_id].nodes).items():
                 node_attrs = attrs.copy()
 
@@ -549,7 +556,7 @@ def has_ports(node: StageBase, is_input):
         # Build up edges
         for segment_id in self._segments:
             gv_subgraph = gv_subgraphs[segment_id]
-            for e, attrs in typing.cast(typing.Mapping[typing.Tuple[StageBase, StageBase], dict],
+            for e, attrs in typing.cast(typing.Mapping[typing.Tuple[_pipeline.StageBase, _pipeline.StageBase], dict],
                                         self._segment_graphs[segment_id].edges()).items():  # noqa: E501
 
                 edge_attrs = {}
@@ -621,9 +628,7 @@ async def run_async(self):
         This function sets up the current asyncio loop, builds the pipeline, and awaits on it to complete.
         """
         try:
-            await self._build_and_start()
-
-            # Wait for completion
+            await self.build_and_start()
             await self.join()
 
         except KeyboardInterrupt:
@@ -632,9 +637,6 @@ async def run_async(self):
             # Stop the pipeline
             self.stop()
 
-            # Wait again for nice completion
-            await self.join()
-
         finally:
             # Shutdown the async generator sources and exit
             logger.info("====Pipeline Complete====")
diff --git a/morpheus/pipeline/preallocator_mixin.py b/morpheus/pipeline/preallocator_mixin.py
index 6f75b4d44b..61e9cd3702 100644
--- a/morpheus/pipeline/preallocator_mixin.py
+++ b/morpheus/pipeline/preallocator_mixin.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/pipeline/receiver.py b/morpheus/pipeline/receiver.py
index 0ecb745a65..fcc7d3f30f 100644
--- a/morpheus/pipeline/receiver.py
+++ b/morpheus/pipeline/receiver.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,7 +17,7 @@
 
 import mrc
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.utils.type_utils import greatest_ancestor
 
 logger = logging.getLogger(__name__)
diff --git a/morpheus/pipeline/sender.py b/morpheus/pipeline/sender.py
index 4981cf0177..701cac3250 100644
--- a/morpheus/pipeline/sender.py
+++ b/morpheus/pipeline/sender.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,7 +17,7 @@
 
 import mrc
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 
 logger = logging.getLogger(__name__)
 
diff --git a/morpheus/pipeline/single_output_source.py b/morpheus/pipeline/single_output_source.py
index 45784f6bf8..c9bd1fd826 100644
--- a/morpheus/pipeline/single_output_source.py
+++ b/morpheus/pipeline/single_output_source.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -18,7 +18,7 @@
 
 import mrc
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.config import Config
 from morpheus.utils.type_utils import pretty_print_type_name
 
diff --git a/morpheus/pipeline/single_port_stage.py b/morpheus/pipeline/single_port_stage.py
index c5e927ea2e..b9ea20aeeb 100644
--- a/morpheus/pipeline/single_port_stage.py
+++ b/morpheus/pipeline/single_port_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -19,7 +19,7 @@
 import mrc
 import typing_utils
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.config import Config
 from morpheus.utils.type_utils import pretty_print_type_name
 
diff --git a/morpheus/pipeline/source_stage.py b/morpheus/pipeline/source_stage.py
index e866ba3ed4..2778cf6590 100644
--- a/morpheus/pipeline/source_stage.py
+++ b/morpheus/pipeline/source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -18,7 +18,7 @@
 
 import mrc
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.config import Config
 
 logger = logging.getLogger(__name__)
diff --git a/morpheus/pipeline/stage.py b/morpheus/pipeline/stage.py
index 286fe6ab39..7c0bb0475f 100644
--- a/morpheus/pipeline/stage.py
+++ b/morpheus/pipeline/stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -13,11 +13,10 @@
 # limitations under the License.
 
 import logging
-import warnings
 
 import mrc
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 
 logger = logging.getLogger(__name__)
 
@@ -40,17 +39,5 @@ def _post_build(self, builder: mrc.Builder, out_ports_nodes: list[mrc.SegmentObj
     def _start(self):
         pass
 
-    async def start_async(self):
-        """
-        This function is called along with on_start during stage initialization. Allows stages to utilize the
-        asyncio loop if needed.
-        """
-        if (hasattr(self, 'on_start')):
-            warnings.warn(
-                "The on_start method is deprecated and may be removed in the future. "
-                "Please use start_async instead.",
-                DeprecationWarning)
-            self.on_start()
-
     def _on_complete(self, node):  # pylint: disable=unused-argument
         logger.info("Stage Complete: %s", self.name)
diff --git a/morpheus/pipeline/stage_base.py b/morpheus/pipeline/stage_base.py
index b0bbfe7daa..3aa3b2f450 100644
--- a/morpheus/pipeline/stage_base.py
+++ b/morpheus/pipeline/stage_base.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,12 +18,13 @@
 import inspect
 import logging
 import typing
+import warnings
 from abc import ABC
 from abc import abstractmethod
 
 import mrc
 
-import morpheus.pipeline as _pipeline
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.config import Config
 from morpheus.config import CppConfig
 from morpheus.utils.atomic_integer import AtomicInteger
@@ -75,6 +76,8 @@ class StageBase(ABC, collections.abc.Hashable):
 
     """
 
+    # pylint:disable=too-many-public-methods
+
     __ID_COUNTER = AtomicInteger(0)
 
     def __init__(self, config: Config):
@@ -96,6 +99,9 @@ def __init__(self, config: Config):
         # Mapping of {`column_name`: `TyepId`}
         self._needed_columns = collections.OrderedDict()
 
+        # Schema of the stage
+        self._schema = _pipeline.StageSchema(self)
+
     def __init_subclass__(cls) -> None:
 
         # Wrap __init__ to save the arg values
@@ -279,7 +285,7 @@ def supports_cpp_node(self):
 
     def _build_cpp_node(self):
         """
-        Specifies whether or not to build a C++ node. Only should be called during the build phase.
+        Specifies whether to build a C++ node. Only should be called during the build phase.
         """
         return CppConfig.get_should_use_cpp() and self.supports_cpp_node()
 
@@ -342,14 +348,15 @@ def _pre_build(self, do_propagate: bool = True):
         schema = _pipeline.StageSchema(self)
         self._pre_compute_schema(schema)
         self.compute_schema(schema)
+        self._schema = schema
 
-        assert len(schema.output_schemas) == len(self.output_ports), \
+        assert len(self._schema.output_schemas) == len(self.output_ports), \
             (f"Prebuild expected `schema.output_schemas` to be of length {len(self.output_ports)} "
-             f"(one for each output port), but got {len(schema.output_schemas)}.")
+             f"(one for each output port), but got {len(self._schema.output_schemas)}.")
 
-        schema._complete()
+        self._schema._complete()
 
-        for (port_idx, port_schema) in enumerate(schema.output_schemas):
+        for (port_idx, port_schema) in enumerate(self._schema.output_schemas):
             self.output_ports[port_idx].output_schema = port_schema
 
         self._is_pre_built = True
@@ -494,3 +501,15 @@ def _pre_compute_schema(self, schema: _pipeline.StageSchema):
         `compute_schema` being called.
         """
         pass
+
+    async def start_async(self):
+        """
+        This function is called along with on_start during stage initialization. Allows stages to utilize the
+        asyncio loop if needed.
+        """
+        if (hasattr(self, 'on_start')):
+            warnings.warn(
+                "The on_start method is deprecated and may be removed in the future. "
+                "Please use start_async instead.",
+                DeprecationWarning)
+            self.on_start()
diff --git a/morpheus/pipeline/stage_decorator.py b/morpheus/pipeline/stage_decorator.py
index 76481fa867..60531260e6 100644
--- a/morpheus/pipeline/stage_decorator.py
+++ b/morpheus/pipeline/stage_decorator.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -24,18 +24,15 @@
 
 import cudf
 
+import morpheus.pipeline as _pipeline  # pylint: disable=cyclic-import
 from morpheus.common import TypeId
 from morpheus.config import Config
 from morpheus.messages import MessageMeta
 from morpheus.messages import MultiMessage
-from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
-from morpheus.pipeline.single_output_source import SingleOutputSource
-from morpheus.pipeline.single_port_stage import SinglePortStage
-from morpheus.pipeline.stage_schema import StageSchema
 
 logger = logging.getLogger(__name__)
 GeneratorType = typing.Callable[..., collections.abc.Iterator[typing.Any]]
-ComputeSchemaType = typing.Callable[[StageSchema], None]
+ComputeSchemaType = typing.Callable[[_pipeline.StageSchema], None]
 
 
 def _get_name_from_fn(fn: typing.Callable) -> str:
@@ -71,7 +68,7 @@ def _validate_keyword_arguments(fn_name: str,
                              f"{fn_name} contains '{param.name}' that was not provided with a value")
 
 
-class WrappedFunctionSourceStage(SingleOutputSource):
+class WrappedFunctionSourceStage(_pipeline.SingleOutputSource):
     """
     Source stage that wraps a generator function as the method for generating messages.
 
@@ -109,14 +106,14 @@ def name(self) -> str:
     def supports_cpp_node(self) -> bool:
         return False
 
-    def compute_schema(self, schema: StageSchema):
+    def compute_schema(self, schema: _pipeline.StageSchema):
         self._compute_schema_fn(schema)
 
     def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
         return builder.make_source(self.unique_name, self._gen_fn)
 
 
-class PreAllocatedWrappedFunctionStage(PreallocatorMixin, WrappedFunctionSourceStage):
+class PreAllocatedWrappedFunctionStage(_pipeline.PreallocatorMixin, WrappedFunctionSourceStage):
     """
     Source stage that wraps a generator function as the method for generating messages.
 
@@ -184,11 +181,13 @@ def wrapper(config: Config, **kwargs) -> WrappedFunctionSourceStage:
         if isinstance(return_type, (typing.GenericAlias, typing._GenericAlias)):
             return_type = return_type.__args__[0]
 
-        if compute_schema_fn is None:  # pylint: disable=used-before-assignment
+        if compute_schema_fn is None:
 
-            def compute_schema_fn(schema: StageSchema):
+            def compute_schema_fn_inner(schema: _pipeline.StageSchema):
                 schema.output_schema.set_type(return_type)
 
+            compute_schema_fn = compute_schema_fn_inner
+
         _validate_keyword_arguments(name, signature, kwargs, param_iter=iter(signature.parameters.values()))
 
         bound_gen_fn = functools.partial(gen_fn, **kwargs)
@@ -209,7 +208,7 @@ def compute_schema_fn(schema: StageSchema):
     return wrapper
 
 
-class WrappedFunctionStage(SinglePortStage):
+class WrappedFunctionStage(_pipeline.SinglePortStage):
     """
     Stage that wraps a function to be used for processing messages.
 
@@ -262,7 +261,7 @@ def accepted_types(self) -> typing.Tuple:
     def supports_cpp_node(self) -> bool:
         return False
 
-    def compute_schema(self, schema: StageSchema):
+    def compute_schema(self, schema: _pipeline.StageSchema):
         self._compute_schema_fn(schema)
 
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
@@ -345,7 +344,7 @@ def wrapper(config: Config, **kwargs) -> WrappedFunctionStage:
                 raise ValueError(
                     "Stage functions must have either a return type annotation or specify a compute_schema_fn")
 
-            def compute_schema_fn(schema: StageSchema):
+            def compute_schema_fn_inner(schema: _pipeline.StageSchema):
                 if return_type is typing.Any:
                     out_type = schema.input_schema.get_type()
                 else:
@@ -353,6 +352,8 @@ def compute_schema_fn(schema: StageSchema):
 
                 schema.output_schema.set_type(out_type)
 
+            compute_schema_fn = compute_schema_fn_inner
+
         _validate_keyword_arguments(name, signature, kwargs, param_iter=param_iter)
 
         bound_on_data_fn = functools.partial(on_data_fn, **kwargs)
diff --git a/morpheus/pipeline/stage_schema.py b/morpheus/pipeline/stage_schema.py
index 5beb5c5547..6a4c6d56d7 100644
--- a/morpheus/pipeline/stage_schema.py
+++ b/morpheus/pipeline/stage_schema.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/service/__init__.py b/morpheus/service/__init__.py
index ce94db52fa..57bbf5c626 100644
--- a/morpheus/service/__init__.py
+++ b/morpheus/service/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/service/vdb/milvus_client.py b/morpheus/service/vdb/milvus_client.py
index 7f2436eb46..de5ab89a15 100644
--- a/morpheus/service/vdb/milvus_client.py
+++ b/morpheus/service/vdb/milvus_client.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -18,6 +18,25 @@
 from pymilvus import MilvusClient as PyMilvusClient
 from pymilvus.orm.mutation import MutationResult
 
+DATA_TYPE_MAP = {
+    "BOOL": 1,
+    "INT8": 2,
+    "INT16": 3,
+    "INT32": 4,
+    "INT64": 5,
+    "FLOAT": 10,
+    "DOUBLE": 11,
+    "STRING": 20,
+    "VARCHAR": 21,
+    "ARRAY": 22,
+    "JSON": 23,
+    "BINARY_VECTOR": 100,
+    "FLOAT_VECTOR": 101,
+    "FLOAT16_VECTOR": 102,
+    "BFLOAT16_VECTOR": 103,
+    "UNKNOWN": 999
+}
+
 
 def handle_exceptions(func_name: str, error_message: str) -> typing.Callable:
     """
diff --git a/morpheus/service/vdb/milvus_vector_db_service.py b/morpheus/service/vdb/milvus_vector_db_service.py
index ef1b741488..37cd82d1ba 100644
--- a/morpheus/service/vdb/milvus_vector_db_service.py
+++ b/morpheus/service/vdb/milvus_vector_db_service.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -26,11 +26,10 @@
 
 from morpheus.service.vdb.vector_db_service import VectorDBResourceService
 from morpheus.service.vdb.vector_db_service import VectorDBService
-from morpheus.utils.verify_dependencies import _verify_deps
 
 logger = logging.getLogger(__name__)
 
-REQUIRED_DEPS = ('pymilvus', 'MilvusClient', 'MutationResult')
+IMPORT_EXCEPTION = None
 IMPORT_ERROR_MESSAGE = "MilvusVectorDBResourceService requires the milvus and pymilvus packages to be installed."
 
 try:
@@ -38,8 +37,8 @@
     from pymilvus.orm.mutation import MutationResult
 
     from morpheus.service.vdb.milvus_client import MilvusClient  # pylint: disable=ungrouped-imports
-except ImportError:
-    pass
+except ImportError as import_exc:
+    IMPORT_EXCEPTION = import_exc
 
 
 class FieldSchemaEncoder(json.JSONEncoder):
@@ -226,7 +225,9 @@ class MilvusVectorDBResourceService(VectorDBResourceService):
     """
 
     def __init__(self, name: str, client: "MilvusClient") -> None:
-        _verify_deps(REQUIRED_DEPS, IMPORT_ERROR_MESSAGE, globals())
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
         super().__init__()
 
         self._name = name
@@ -697,7 +698,7 @@ def _build_schema_conf(self, df: typing.Union[cudf.DataFrame, pd.DataFrame]) ->
             df = df.to_pandas()
 
         # Loop over all of the columns of the first row and build the schema
-        for col_name, col_val in df.iloc[0].iteritems():
+        for col_name, col_val in df.iloc[0].items():
 
             field_dict = {
                 "name": col_name,
diff --git a/morpheus/service/vdb/utils.py b/morpheus/service/vdb/utils.py
index ba3db7776c..44d8fae889 100644
--- a/morpheus/service/vdb/utils.py
+++ b/morpheus/service/vdb/utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/service/vdb/vector_db_service.py b/morpheus/service/vdb/vector_db_service.py
index 4519437f03..8f2d346f55 100644
--- a/morpheus/service/vdb/vector_db_service.py
+++ b/morpheus/service/vdb/vector_db_service.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/__init__.py b/morpheus/stages/__init__.py
index 302c4e9948..4c3408f892 100644
--- a/morpheus/stages/__init__.py
+++ b/morpheus/stages/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/boundary/__init__.py b/morpheus/stages/boundary/__init__.py
index eb009db8fb..8e21d0157d 100644
--- a/morpheus/stages/boundary/__init__.py
+++ b/morpheus/stages/boundary/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/boundary/linear_boundary_stage.py b/morpheus/stages/boundary/linear_boundary_stage.py
index 14d1db1858..ad8db9ebc2 100644
--- a/morpheus/stages/boundary/linear_boundary_stage.py
+++ b/morpheus/stages/boundary/linear_boundary_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -19,6 +19,7 @@
 from mrc.core import operators as ops
 
 from morpheus.config import Config
+from morpheus.pipeline.boundary_stage_mixin import BoundaryStageMixin
 from morpheus.pipeline.pass_thru_type_mixin import PassThruTypeMixin
 from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 from morpheus.pipeline.single_output_source import SingleOutputSource
@@ -28,7 +29,7 @@
 logger = logging.getLogger(__name__)
 
 
-class LinearBoundaryEgressStage(PassThruTypeMixin, SinglePortStage):
+class LinearBoundaryEgressStage(BoundaryStageMixin, PassThruTypeMixin, SinglePortStage):
     """
     The LinearBoundaryEgressStage acts as an egress point from one linear segment to another. Given an existing linear
     pipeline that we want to connect to another segment, a linear boundary egress stage would be added, in conjunction
@@ -81,7 +82,7 @@ def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) ->
         return input_node
 
 
-class LinearBoundaryIngressStage(PreallocatorMixin, SingleOutputSource):
+class LinearBoundaryIngressStage(BoundaryStageMixin, PreallocatorMixin, SingleOutputSource):
     """
     The LinearBoundaryIngressStage acts as source ingress point from a corresponding egress in another linear segment.
     Given an existing linear pipeline that we want to connect to another segment, a linear boundary egress stage would
diff --git a/morpheus/stages/doca/__init__.py b/morpheus/stages/doca/__init__.py
index a85f01459c..4e2ceb5e98 100644
--- a/morpheus/stages/doca/__init__.py
+++ b/morpheus/stages/doca/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/doca/doca_source_stage.py b/morpheus/stages/doca/doca_source_stage.py
index f125a505f0..a49784499f 100644
--- a/morpheus/stages/doca/doca_source_stage.py
+++ b/morpheus/stages/doca/doca_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -47,6 +47,7 @@ def __init__(
         c: Config,
         nic_pci_address: str,
         gpu_pci_address: str,
+        traffic_type: str,
     ):
 
         super().__init__(c)
@@ -67,6 +68,10 @@ def __init__(
         self._max_concurrent = c.num_threads
         self._nic_pci_address = nic_pci_address
         self._gpu_pci_address = gpu_pci_address
+        self._traffic_type = traffic_type.lower()
+        if self._traffic_type not in ('udp', 'tcp'):
+            raise NotImplementedError("The Morpheus DOCA source stage allows a only udp or tcp types of traffic flow " +
+                                      traffic_type)
 
     @property
     def name(self) -> str:
@@ -86,6 +91,12 @@ def supports_cpp_node(self):
     def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
 
         if self._build_cpp_node():
-            return self._doca_source_class(builder, self.unique_name, self._nic_pci_address, self._gpu_pci_address)
+            node = self._doca_source_class(builder,
+                                           self.unique_name,
+                                           self._nic_pci_address,
+                                           self._gpu_pci_address,
+                                           self._traffic_type)
+            node.launch_options.pe_count = self._max_concurrent
+            return node
 
         raise NotImplementedError("Does not support Python nodes")
diff --git a/morpheus/stages/general/__init__.py b/morpheus/stages/general/__init__.py
index 4026a28c13..26e694a79e 100644
--- a/morpheus/stages/general/__init__.py
+++ b/morpheus/stages/general/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/general/buffer_stage.py b/morpheus/stages/general/buffer_stage.py
index b2cb9fa570..261b4cec82 100644
--- a/morpheus/stages/general/buffer_stage.py
+++ b/morpheus/stages/general/buffer_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -66,7 +66,8 @@ def supports_cpp_node(self):
         return False
 
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
-        # This stage is no longer needed and is just a pass thru stage
-        deprecated_stage_warning(logger, type(self), self.unique_name)
+        reason = "The stage is no longer required to manage backpressure and has been deprecated. It has no" \
+                 " effect acts as a pass through stage."
+        deprecated_stage_warning(logger, type(self), self.unique_name, reason=reason)
 
         return input_node
diff --git a/morpheus/stages/general/delay_stage.py b/morpheus/stages/general/delay_stage.py
index 9a61644e18..49768c32a2 100644
--- a/morpheus/stages/general/delay_stage.py
+++ b/morpheus/stages/general/delay_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -66,7 +66,8 @@ def supports_cpp_node(self):
         return False
 
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
-        # This stage is no longer needed and is just a pass thru stage
-        deprecated_stage_warning(logger, type(self), self.unique_name)
+        reason = "The stage is no longer required to manage backpressure and has been deprecated. It has no" \
+                 " effect acts as a pass through stage."
+        deprecated_stage_warning(logger, type(self), self.unique_name, reason=reason)
 
         return input_node
diff --git a/morpheus/stages/general/linear_modules_source.py b/morpheus/stages/general/linear_modules_source.py
new file mode 100644
index 0000000000..94a40e5460
--- /dev/null
+++ b/morpheus/stages/general/linear_modules_source.py
@@ -0,0 +1,98 @@
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import typing
+
+import mrc
+
+from morpheus.config import Config
+from morpheus.pipeline import SingleOutputSource
+from morpheus.pipeline.stage_schema import StageSchema
+from morpheus.utils.module_utils import ModuleLoader
+from morpheus.utils.module_utils import load_module
+
+logger = logging.getLogger(__name__)
+
+
+class LinearModuleSourceStage(SingleOutputSource):
+    """
+    A stage in the pipeline that serves as a linear module source.
+
+    This stage is responsible for integrating a module into the pipeline as a source stage.
+
+    Parameters
+    ----------
+    c : Config
+        The configuration object for the pipeline.
+    module_config : Union[Dict, ModuleDefinition]
+        The configuration for the module. This can be either a dictionary of configuration parameters or a
+        ModuleDefinition object.
+    output_port_name : str
+        The name of the output port of the module.
+    output_type : Any, optional
+        The type of the output.
+
+    Attributes
+    ----------
+    _output_type : Any
+        The output type of the stage.
+    _module_config : Union[Dict, ModuleDefinition]
+        The configuration of the module.
+    _output_port_name : str
+        The name of the module's output port.
+    _unique_name : str
+        The unique name of the module.
+    """
+
+    def __init__(self,
+                 c: Config,
+                 module_config: typing.Union[typing.Dict, ModuleLoader],
+                 output_port_name: str,
+                 output_type=typing.Any):
+        super().__init__(c)
+
+        self._output_type = output_type
+        self._module_config = module_config
+        self._output_port_name = output_port_name
+
+        if (isinstance(self._module_config, dict)):
+            self._unique_name = self._module_config.get("module_name", "linear_module_source")
+        else:
+            self._unique_name = self._module_config.name
+
+    @property
+    def name(self) -> str:
+        return self._unique_name
+
+    @property
+    def input_count(self) -> int:
+        return None
+
+    def supports_cpp_node(self) -> bool:
+        """Indicates whether this stage supports a C++ node"""
+        return False
+
+    def compute_schema(self, schema: StageSchema):
+        schema.output_schema.set_type(self._output_type)
+
+    def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
+        if (isinstance(self._module_config, dict)):
+            module = load_module(self._module_config, builder=builder)
+        else:
+            module = self._module_config.load(builder)
+
+        mod_out_node = module.output_port(self._output_port_name)
+
+        return mod_out_node
diff --git a/morpheus/stages/general/linear_modules_stage.py b/morpheus/stages/general/linear_modules_stage.py
index 8ff32fbd9d..344db83ced 100644
--- a/morpheus/stages/general/linear_modules_stage.py
+++ b/morpheus/stages/general/linear_modules_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -20,6 +20,7 @@
 from morpheus.config import Config
 from morpheus.pipeline.single_port_stage import SinglePortStage
 from morpheus.pipeline.stage_schema import StageSchema
+from morpheus.utils.module_utils import ModuleLoader
 from morpheus.utils.module_utils import load_module
 
 logger = logging.getLogger(__name__)
@@ -48,7 +49,7 @@ class LinearModulesStage(SinglePortStage):
 
     def __init__(self,
                  c: Config,
-                 module_config: typing.Dict,
+                 module_config: typing.Union[typing.Dict, ModuleLoader],
                  input_port_name: str,
                  output_port_name: str,
                  input_type=typing.Any,
@@ -62,9 +63,14 @@ def __init__(self,
         self._input_port_name = input_port_name
         self._output_port_name = output_port_name
 
+        if (isinstance(self._module_config, dict)):
+            self._unique_name = self._module_config.get("module_name", "linear_module_stage")
+        else:
+            self._unique_name = self._module_config.name
+
     @property
     def name(self) -> str:
-        return self._module_config.get("module_name", "linear_module")
+        return self._unique_name
 
     def supports_cpp_node(self):
         return False
@@ -95,9 +101,10 @@ def _get_cpp_module_node(self, builder: mrc.Builder) -> mrc.SegmentObject:
         raise NotImplementedError("No C++ node is available for this module type")
 
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
-
-        # Load module from the registry.
-        module = load_module(self._module_config, builder=builder)
+        if (isinstance(self._module_config, dict)):
+            module = load_module(self._module_config, builder=builder)
+        else:
+            module = self._module_config.load(builder)
 
         mod_in_node = module.input_port(self._input_port_name)
         mod_out_node = module.output_port(self._output_port_name)
diff --git a/morpheus/stages/general/monitor_stage.py b/morpheus/stages/general/monitor_stage.py
index 5d2c4a665e..cc3a96f33f 100644
--- a/morpheus/stages/general/monitor_stage.py
+++ b/morpheus/stages/general/monitor_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -99,7 +99,7 @@ def accepted_types(self) -> typing.Tuple:
     def supports_cpp_node(self):
         return False
 
-    def on_start(self):
+    async def start_async(self):
         """
         Starts the pipeline stage's progress bar.
         """
@@ -111,7 +111,7 @@ def on_start(self):
             if (not self._mc.delayed_start):
                 self._mc.ensure_progress_bar()
 
-    def stop(self):
+    async def join(self):
         """
         Clean up and close the progress bar.
         """
diff --git a/morpheus/stages/general/multi_port_modules_stage.py b/morpheus/stages/general/multi_port_modules_stage.py
index 6ac477fcfe..e0871cc871 100644
--- a/morpheus/stages/general/multi_port_modules_stage.py
+++ b/morpheus/stages/general/multi_port_modules_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/general/trigger_stage.py b/morpheus/stages/general/trigger_stage.py
index 0674ab77db..b8b754d910 100644
--- a/morpheus/stages/general/trigger_stage.py
+++ b/morpheus/stages/general/trigger_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/inference/__init__.py b/morpheus/stages/inference/__init__.py
index d1729d254b..219631f860 100644
--- a/morpheus/stages/inference/__init__.py
+++ b/morpheus/stages/inference/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/inference/auto_encoder_inference_stage.py b/morpheus/stages/inference/auto_encoder_inference_stage.py
index cc791f6ce9..24423222bd 100644
--- a/morpheus/stages/inference/auto_encoder_inference_stage.py
+++ b/morpheus/stages/inference/auto_encoder_inference_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -83,7 +83,7 @@ def calc_output_dims(self, x: MultiInferenceAEMessage) -> typing.Tuple:
         # reconstruction loss and zscore
         return (x.count, 2)
 
-    def process(self, batch: MultiInferenceAEMessage, cb: typing.Callable[[TensorMemory], None]):
+    def process(self, batch: MultiInferenceAEMessage, callback: typing.Callable[[TensorMemory], None]):
         """
         This function processes inference batch by using batch's model to calculate anomaly scores
         and adding results to response.
@@ -92,7 +92,7 @@ def process(self, batch: MultiInferenceAEMessage, cb: typing.Callable[[TensorMem
         ----------
         batch : `morpheus.pipeline.messages.MultiInferenceMessage`
             Batch of inference messages.
-        cb : typing.Callable[[`morpheus.pipeline.messages.TensorMemory`], None]
+        callback : typing.Callable[[`morpheus.pipeline.messages.TensorMemory`], None]
             Inference callback.
 
         """
@@ -130,7 +130,7 @@ def process(self, batch: MultiInferenceAEMessage, cb: typing.Callable[[TensorMem
 
         mem.explain_df = explain_df
 
-        cb(mem)
+        callback(mem)
 
 
 @register_stage("inf-pytorch", modes=[PipelineModes.AE])
diff --git a/morpheus/stages/inference/identity_inference_stage.py b/morpheus/stages/inference/identity_inference_stage.py
index 25eccc66b5..a163861c54 100644
--- a/morpheus/stages/inference/identity_inference_stage.py
+++ b/morpheus/stages/inference/identity_inference_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -47,17 +47,18 @@ def __init__(self, inf_queue: ProducerConsumerQueue, c: Config):
     def calc_output_dims(self, x: MultiInferenceMessage) -> typing.Tuple:
         return (x.count, self._seq_length)
 
-    def process(self, batch: MultiInferenceMessage, cb: typing.Callable[[TensorMemory], None]):
+    def process(self, batch: MultiInferenceMessage, callback: typing.Callable[[TensorMemory], None]):
 
-        def tmp(b: MultiInferenceMessage, f):
+        def tmp(batch: MultiInferenceMessage, f):
 
-            f(TensorMemory(
-                count=b.count,
-                tensors={'probs': cp.zeros((b.count, self._seq_length), dtype=cp.float32)},
-            ))
+            f(
+                TensorMemory(
+                    count=batch.count,
+                    tensors={'probs': cp.zeros((batch.count, self._seq_length), dtype=cp.float32)},
+                ))
 
         # Call directly instead of enqueing
-        tmp(batch, cb)
+        tmp(batch, callback)
 
 
 @register_stage("inf-identity", modes=[PipelineModes.FIL, PipelineModes.NLP, PipelineModes.OTHER])
diff --git a/morpheus/stages/inference/inference_stage.py b/morpheus/stages/inference/inference_stage.py
index e68eb6e721..e4111926e9 100644
--- a/morpheus/stages/inference/inference_stage.py
+++ b/morpheus/stages/inference/inference_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import logging
 import typing
 from abc import abstractmethod
 from functools import partial
@@ -21,14 +22,25 @@
 import mrc
 from mrc.core import operators as ops
 
+import cudf
+
+# pylint: disable=morpheus-incorrect-lib-from-import
+from morpheus._lib.messages import MessageMeta as CppMessageMeta
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
+from morpheus.messages import InferenceMemoryNLP
+from morpheus.messages import MessageMeta
 from morpheus.messages import MultiInferenceMessage
+from morpheus.messages import MultiInferenceNLPMessage
+from morpheus.messages import MultiMessage
 from morpheus.messages import MultiResponseMessage
 from morpheus.messages.memory.tensor_memory import TensorMemory
 from morpheus.pipeline.multi_message_stage import MultiMessageStage
 from morpheus.pipeline.stage_schema import StageSchema
 from morpheus.utils.producer_consumer_queue import ProducerConsumerQueue
 
+logger = logging.getLogger(__name__)
+
 
 class InferenceWorker:
     """
@@ -222,12 +234,27 @@ def py_inference_fn(obs: mrc.Observable, sub: mrc.Subscriber):
 
             outstanding_requests = 0
 
-            def on_next(x: MultiInferenceMessage):
+            def on_next(message: typing.Union[MultiInferenceMessage, ControlMessage]):
                 nonlocal outstanding_requests
+                _message = None
+                if (isinstance(message, ControlMessage)):
+                    _message = message
+                    tensors = message.tensors()
+                    memory_params: dict = message.get_metadata("inference_memory_params")
+                    inference_type: str = memory_params["inference_type"]
+
+                    if (inference_type == "nlp"):
+                        memory = InferenceMemoryNLP(count=tensors.count, **tensors.get_tensors())
+                        meta_message = MessageMeta(df=message.payload().df)
+                        multi_message = MultiMessage(meta=meta_message)
 
-                batches = self._split_batches(x, self._max_batch_size)
+                        message = MultiInferenceNLPMessage.from_message(multi_message, memory=memory)
+                    else:
+                        raise ValueError(f"Unsupported inference type for ControlMessage: {inference_type}")
 
-                output_message = worker.build_output_message(x)
+                batches = self._split_batches(message, self._max_batch_size)
+
+                output_message = worker.build_output_message(message)
 
                 fut_list = []
 
@@ -251,6 +278,16 @@ def set_output_fut(resp: TensorMemory, inner_batch, batch_future: mrc.Future):
                 for f in fut_list:
                     f.result()
 
+                # TODO(Devin): This is a hack to support ControlMessage side channel.
+                if (isinstance(_message, ControlMessage)):
+                    _df = cudf.DataFrame(output_message.get_meta())
+                    if (_df is not None and not _df.empty):
+                        embeddings = output_message.get_probs_tensor()
+                        _df["embedding"] = embeddings.tolist()
+                        _message_meta = CppMessageMeta(df=_df)
+                        _message.payload(_message_meta)
+                    output_message = _message
+
                 return output_message
 
             obs.pipe(ops.map(on_next)).subscribe(sub)
@@ -323,7 +360,6 @@ def _split_batches(x: MultiInferenceMessage, max_batch_size: int) -> typing.List
         out_resp = []
 
         for start, stop in out_batches:
-
             out_resp.append(x.get_slice(start, stop))
 
         assert len(out_resp) > 0
@@ -407,4 +443,4 @@ def _convert_one_response(output: MultiResponseMessage, inf: MultiInferenceMessa
             for i, idx in enumerate(mess_ids):
                 probs[idx, :] = cp.maximum(probs[idx, :], resp_probs[i, :])
 
-        return MultiResponseMessage.from_message(inf, memory=memory, offset=inf.offset, count=inf.mess_count)
+        return MultiResponseMessage.from_message(inf, memory=memory, offset=seq_offset, count=seq_count)
diff --git a/morpheus/stages/inference/pytorch_inference_stage.py b/morpheus/stages/inference/pytorch_inference_stage.py
index 9e7b3d7346..49a8cd730c 100644
--- a/morpheus/stages/inference/pytorch_inference_stage.py
+++ b/morpheus/stages/inference/pytorch_inference_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -60,6 +60,7 @@ def __init__(self, inf_queue: ProducerConsumerQueue, c: Config, model_filename:
         self._model_filename: str = model_filename
 
         self._model = None
+        self._outputs = {}
 
         # Use this to cache the output size
         self._output_size = None
@@ -85,7 +86,7 @@ def calc_output_dims(self, x: MultiInferenceMessage) -> typing.Tuple:
 
         return (x.count, self._outputs[list(self._outputs.keys())[0]].shape[1])
 
-    def process(self, batch: MultiInferenceMessage, cb: typing.Callable[[TensorMemory], None]):
+    def process(self, batch: MultiInferenceMessage, callback: typing.Callable[[TensorMemory], None]):
 
         # convert from cupy to torch tensor using dlpack
         input_ids = from_dlpack(batch.get_input("input_ids").astype(cp.float).toDlpack()).type(torch.long)
@@ -104,7 +105,7 @@ def process(self, batch: MultiInferenceMessage, cb: typing.Callable[[TensorMemor
         response_mem = TensorMemory(count=batch.count, tensors={'probs': probs_cp})
 
         # Return the response
-        cb(response_mem)
+        callback(response_mem)
 
 
 @register_stage("inf-pytorch", modes=[PipelineModes.FIL, PipelineModes.NLP, PipelineModes.OTHER])
diff --git a/morpheus/stages/inference/triton_inference_stage.py b/morpheus/stages/inference/triton_inference_stage.py
index 8caf42c91e..e5901363f9 100644
--- a/morpheus/stages/inference/triton_inference_stage.py
+++ b/morpheus/stages/inference/triton_inference_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -18,7 +18,6 @@
 import queue
 import typing
 import warnings
-from abc import abstractmethod
 from functools import lru_cache
 from functools import partial
 
@@ -46,7 +45,6 @@
 
 @lru_cache(None)
 def _notify_dtype_once(model_name: str, input_name: str, triton_dtype: cp.dtype, data_dtype: cp.dtype):
-
     can_convert = cp.can_cast(data_dtype, triton_dtype, casting="safe")
 
     msg = "Unexpected dtype for Triton input. "
@@ -203,10 +201,11 @@ class InputWrapper:
 
     """
 
-    def __init__(self,
-                 client: tritonclient.InferenceServerClient,
-                 model_name: str,
-                 config: typing.Dict[str, TritonInOut]):
+    def __init__(
+            self,
+            client: tritonclient.InferenceServerClient,  # pylint: disable=unused-argument
+            model_name: str,
+            config: typing.Dict[str, TritonInOut]):
         self._config = config.copy()
 
         self._total_bytes = 0
@@ -357,7 +356,7 @@ def __init__(self,
         super().__init__(client, model_name, config)
 
         # Now create the necessary shared memory bits
-        self.region_name = model_name + "_{}".format(ShmInputWrapper.total_count)
+        self.region_name = f"{model_name}_{ShmInputWrapper.total_count}"
         ShmInputWrapper.total_count += 1
 
         # Allocate the total memory
@@ -368,7 +367,7 @@ def __init__(self,
             self._config[key].ptr = cp.cuda.MemoryPointer(self._memory, self._config[key].offset)
 
         # Now get the registered IPC handle
-        self._ipc_handle = cp.cuda.runtime.ipcGetMemHandle(self._memory.ptr)
+        self._ipc_handle = cp.cuda.runtime.ipcGetMemHandle(self._memory.ptr)  # pylint: disable=c-extension-no-member
 
         # Finally, regester this memory with the server. Must be base64 for some reason???
         client.register_cuda_shared_memory(self.region_name, base64.b64encode(self._ipc_handle), 0, self._total_bytes)
@@ -405,9 +404,9 @@ def build_input(self, name: str, data: cp.ndarray, force_convert_inputs: bool) -
 
 
 # This class is exclusively run in the worker thread. Separating the classes helps keeps the threads separate
-class _TritonInferenceWorker(InferenceWorker):
+class TritonInferenceWorker(InferenceWorker):
     """
-    This is a base class for all Triton inference server requests.
+    Inference worker class for all Triton inference server requests.
 
     Parameters
     ----------
@@ -421,15 +420,17 @@ class _TritonInferenceWorker(InferenceWorker):
     server_url : str
         Triton server gRPC URL including the port.
     force_convert_inputs: bool
-        Whether or not to convert the inputs to the type specified by Triton. This will happen automatically if no
+        Whether to convert the inputs to the type specified by Triton. This will happen automatically if no
         data would be lost in the conversion (i.e., float -> double). Set this to True to convert the input even if
         data would be lost (i.e., double -> float).
-    inout_mapping : typing.Dict[str, str]
+    inout_mapping : dict[str, str]
         Dictionary used to map pipeline input/output names to Triton input/output names. Use this if the
         Morpheus names do not match the model.
     use_shared_memory: bool, default = False
-        Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using CUDA IPC reduces network
+        Whether to use CUDA Shared IPC Memory for transferring data to Triton. Using CUDA IPC reduces network
         transfer time but requires that Morpheus and Triton are located on the same machine.
+    needs_logits : bool, default = False
+        Determines whether a logits calculation is needed for the value returned by the Triton inference response.
     """
 
     def __init__(self,
@@ -438,28 +439,24 @@ def __init__(self,
                  model_name: str,
                  server_url: str,
                  force_convert_inputs: bool,
-                 inout_mapping: typing.Dict[str, str] = None,
-                 use_shared_memory: bool = False):
+                 input_mapping: dict[str, str] = None,
+                 output_mapping: dict[str, str] = None,
+                 use_shared_memory: bool = False,
+                 needs_logits: bool = False):
         super().__init__(inf_queue)
 
-        # Combine the class defaults with any user supplied ones
-        default_mapping = type(self).default_inout_mapping()
-
-        default_mapping.update(inout_mapping if inout_mapping is not None else {})
-
         self._model_name = model_name
         self._server_url = server_url
-        self._inout_mapping = default_mapping
+        self._input_mapping = input_mapping or {}
+        self._output_mapping = output_mapping or {}
         self._use_shared_memory = use_shared_memory
 
-        self._requires_seg_ids = False
-
         self._max_batch_size = c.model_max_batch_size
         self._fea_length = c.feature_length
         self._force_convert_inputs = force_convert_inputs
 
-        # Whether or not the returned value needs a logits calc for the response
-        self._needs_logits = type(self).needs_logits()
+        # Whether the returned value needs a logits calc for the response
+        self._needs_logits = needs_logits
 
         self._inputs: typing.Dict[str, TritonInOut] = {}
         self._outputs: typing.Dict[str, TritonInOut] = {}
@@ -472,18 +469,13 @@ def supports_cpp_node(cls):
         # Enable support by default
         return True
 
-    @classmethod
-    def needs_logits(cls):
-        return False
-
-    @classmethod
-    def default_inout_mapping(cls) -> typing.Dict[str, str]:
-        return {}
+    @property
+    def needs_logits(self) -> bool:
+        return self._needs_logits
 
     def init(self):
         """
         This function instantiate triton client and memory allocation for inference input and output.
-
         """
 
         self._triton_client = tritonclient.InferenceServerClient(url=self._server_url, verbose=False)
@@ -504,29 +496,29 @@ def init(self):
 
             # Make sure the inputs/outputs match our config
             if (int(model_meta["inputs"][0]["shape"][-1]) != self._fea_length):
-                raise RuntimeError("Mismatched Sequence Length. Config specified {} but model specified {}".format(
-                    self._fea_length, int(model_meta["inputs"][0]["shape"][-1])))
+                raise RuntimeError(f"Mismatched Sequence Length. Config specified {self._fea_length} but model"
+                                   f" specified {int(model_meta['inputs'][0]['shape'][-1])}")
 
             # Check batch size
             if (model_config.get("max_batch_size", 0) != self._max_batch_size):
 
-                # If the model is more, thats fine. Gen warning
+                # If the model is more, that's fine. Gen warning
                 if (model_config["max_batch_size"] > self._max_batch_size):
-                    warnings.warn(("Model max batch size ({}) is more than configured max batch size ({}). "
-                                   "May result in sub optimal performance").format(model_config["max_batch_size"],
-                                                                                   self._max_batch_size))
+                    warnings.warn(
+                        f"Model max batch size ({model_config['max_batch_size']}) is more than configured max batch "
+                        f"size ({self._max_batch_size}). May result in sub optimal performance")
 
                 # If the model is less, raise error. Cant send more to Triton than the max batch size
                 if (model_config["max_batch_size"] < self._max_batch_size):
                     raise RuntimeError(
-                        ("Model max batch size ({}) is less than configured max batch size ({}). "
-                         "Reduce max batch size to be less than or equal to model max batch size.").format(
-                             model_config["max_batch_size"], self._max_batch_size))
+                        f"Model max batch size ({model_config['max_batch_size']}) is less than configured max batch"
+                        f" size ({self._max_batch_size}). Reduce max batch size to be less than or equal to model max"
+                        " batch size.")
 
             shm_config = {}
 
-            def build_inout(x: dict):
-                b = np.dtype(triton_to_np_dtype(x["datatype"])).itemsize
+            def build_inout(x: dict, mapping: dict[str, str]):
+                num_bytes = np.dtype(triton_to_np_dtype(x["datatype"])).itemsize
 
                 shape = []
 
@@ -538,25 +530,23 @@ def build_inout(x: dict):
 
                     shape.append(y_int)
 
-                    b *= y_int
+                    num_bytes *= y_int
 
-                mapped_name = x["name"] if x["name"] not in self._inout_mapping else self._inout_mapping[x["name"]]
+                mapped_name = x["name"] if x["name"] not in mapping else mapping[x["name"]]
 
                 return TritonInOut(name=x["name"],
-                                   bytes=b,
+                                   bytes=num_bytes,
                                    datatype=x["datatype"],
                                    shape=shape,
                                    mapped_name=mapped_name)
 
             for x in model_meta["inputs"]:
-
-                self._inputs[x["name"]] = build_inout(x)
+                self._inputs[x["name"]] = build_inout(x, self._input_mapping)
 
             for x in model_meta["outputs"]:
-
                 assert x["name"] not in self._inputs, "Input/Output names must be unique from eachother"
 
-                self._outputs[x["name"]] = build_inout(x)
+                self._outputs[x["name"]] = build_inout(x, self._output_mapping)
 
             # Combine the inputs/outputs for the shared memory
             shm_config = {**self._inputs, **self._outputs}
@@ -573,17 +563,34 @@ def create_wrapper():
             self._mem_pool = ResourcePool(create_fn=create_wrapper, max_size=1000)
 
         except InferenceServerException as ex:
-            logger.exception("Exception occurred while coordinating with Triton. Exception message: \n{}\n".format(ex),
+            logger.exception("Exception occurred while coordinating with Triton. Exception message: \n%s\n",
+                             ex,
                              exc_info=ex)
             raise ex
 
     def calc_output_dims(self, x: MultiInferenceMessage) -> typing.Tuple:
         return (x.count, self._outputs[list(self._outputs.keys())[0]].shape[1])
 
-    @abstractmethod
-    def _build_response(self, batch: MultiInferenceMessage, result: tritonclient.InferResult) -> TensorMemory:
-        pass
+    def _build_response(
+            self,
+            batch: MultiInferenceMessage,  # pylint: disable=unused-argument
+            result: tritonclient.InferResult) -> TensorMemory:
+        output = {output.mapped_name: result.as_numpy(output.name) for output in self._outputs.values()}
+
+        # Make sure we have at least 2 dims
+        for key, val in output.items():
+            if (len(val.shape) == 1):
+                output[key] = np.expand_dims(val, 1)
+
+        if (self._needs_logits):
+            output = {key: 1.0 / (1.0 + np.exp(-val)) for key, val in output.items()}
+
+        return TensorMemory(
+            count=output["probs"].shape[0],
+            tensors={'probs': cp.array(output["probs"])}  # For now, only support one output
+        )
 
+    # pylint: disable=invalid-name
     def _infer_callback(self,
                         cb: typing.Callable[[TensorMemory], None],
                         m: InputWrapper,
@@ -603,7 +610,9 @@ def _infer_callback(self,
 
         self._mem_pool.return_obj(m)
 
-    def process(self, batch: MultiInferenceMessage, cb: typing.Callable[[TensorMemory], None]):
+    # pylint: enable=invalid-name
+
+    def process(self, batch: MultiInferenceMessage, callback: typing.Callable[[TensorMemory], None]):
         """
         This function sends batch of events as a requests to Triton inference server using triton client API.
 
@@ -611,7 +620,7 @@ def process(self, batch: MultiInferenceMessage, cb: typing.Callable[[TensorMemor
         ----------
         batch : `morpheus.pipeline.messages.MultiInferenceMessage`
             Mini-batch of inference messages.
-        cb : typing.Callable[[`morpheus.pipeline.messages.TensorMemory`], None]
+        callback : typing.Callable[[`morpheus.pipeline.messages.TensorMemory`], None]
             Callback to set the values for the inference response.
 
         """
@@ -628,329 +637,147 @@ def process(self, batch: MultiInferenceMessage, cb: typing.Callable[[TensorMemor
         # Inference call
         self._triton_client.async_infer(model_name=self._model_name,
                                         inputs=inputs,
-                                        callback=partial(self._infer_callback, cb, mem, batch),
+                                        callback=partial(self._infer_callback, callback, mem, batch),
                                         outputs=outputs)
 
 
-class TritonInferenceNLP(_TritonInferenceWorker):
-    """
-    This class extends TritonInference to deal with scenario-specific NLP models inference requests like building
-    response.
-
-    Parameters
-    ----------
-    inf_queue : `morpheus.utils.producer_consumer_queue.ProducerConsumerQueue`
-        Inference queue.
-    c : `morpheus.config.Config`
-        Pipeline configuration instance.
-    model_name : str
-        Name of the model specifies which model can handle the inference requests that are sent to Triton
-        inference server.
-    server_url : str
-        Triton server gRPC URL including the port.
-    force_convert_inputs : bool, default = False
-        Whether or not to convert the inputs to the type specified by Triton. This will happen automatically if no
-        data would be lost in the conversion (i.e., float -> double). Set this to True to convert the input even if
-        data would be lost (i.e., double -> float).
-    use_shared_memory : bool, default = False
-        Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using CUDA IPC reduces network
-        transfer time but requires that Morpheus and Triton are located on the same machine.
-    inout_mapping : typing.Dict[str, str]
-        Dictionary used to map pipeline input/output names to Triton input/output names. Use this if the
-        Morpheus names do not match the model.
-
+@register_stage("inf-triton", modes=[PipelineModes.NLP, PipelineModes.FIL, PipelineModes.OTHER])
+class TritonInferenceStage(InferenceStage):
     """
+    Perform inference with Triton Inference Server.
 
-    def __init__(self,
-                 inf_queue: ProducerConsumerQueue,
-                 c: Config,
-                 model_name: str,
-                 server_url: str,
-                 force_convert_inputs: bool = False,
-                 use_shared_memory: bool = False,
-                 inout_mapping: typing.Dict[str, str] = None):
-        super().__init__(inf_queue,
-                         c,
-                         model_name=model_name,
-                         server_url=server_url,
-                         force_convert_inputs=force_convert_inputs,
-                         use_shared_memory=use_shared_memory,
-                         inout_mapping=inout_mapping)
-
-    @classmethod
-    def needs_logits(cls):
-        """
-        Determines whether a logits calculation is needed for the value returned by the Triton inference response.
-        """
-        return True
-
-    @classmethod
-    def default_inout_mapping(cls) -> typing.Dict[str, str]:
-        """
-        Returns default dictionary used to map NLP pipeline input/output names to Triton input/output names
-
-        Returns
-        -------
-        default_inout_mapping : typing.Dict[str, str]
-            Dictionary with default input and output names.
-        """
-
-        # Some models use different names for the same thing. Set that here but allow user customization
-        return {
-            "attention_mask": "input_mask",
-            "output": "probs",
-        }
-
-    def _build_response(self, batch: MultiInferenceMessage, result: tritonclient.InferResult) -> TensorMemory:
-
-        output = {output.mapped_name: result.as_numpy(output.name) for output in self._outputs.values()}
-
-        if (self._needs_logits):
-            output = {key: 1.0 / (1.0 + np.exp(-val)) for key, val in output.items()}
-
-        mem = TensorMemory(
-            count=output["probs"].shape[0],
-            tensors={'probs': cp.array(output["probs"])}  # For now, only support one output
-        )
-
-        return mem
-
-
-class TritonInferenceFIL(_TritonInferenceWorker):
-    """
-    This class extends `TritonInference` to deal with scenario-specific FIL models inference requests like
-    building response.
+    This class specifies which inference implementation category (Ex: NLP/FIL) is needed for inferencing.
 
     Parameters
     ----------
-    inf_queue : `morpheus.utils.producer_consumer_queue.ProducerConsumerQueue`
-        Inference queue.
     c : `morpheus.config.Config`
         Pipeline configuration instance.
     model_name : str
-        Name of the model specifies which model can handle the inference requests that are sent to Triton
-        inference server.
+        Name of the model specifies which model can handle the inference requests that are sent to Triton inference
+        server.
     server_url : str
-        Triton server gRPC URL including the port.
+        Triton server URL.
     force_convert_inputs : bool, default = False
-        Whether or not to convert the inputs to the type specified by Triton. This will happen automatically if no
-        data would be lost in the conversion (i.e., float -> double). Set this to True to convert the input even if
-        data would be lost (i.e., double -> float).
-    use_shared_memory: bool, default = False
+        Instructs the stage to convert the incoming data to the same format that Triton is expecting. If set to False,
+        data will only be converted if it would not result in the loss of data.
+    use_shared_memory : bool, default = False, is_flag = True
         Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using CUDA IPC reduces network
         transfer time but requires that Morpheus and Triton are located on the same machine.
-    inout_mapping : typing.Dict[str, str]
-        Dictionary used to map pipeline input/output names to Triton input/output names. Use this if the
-        Morpheus names do not match the model.
-
-    """
-
-    def __init__(self,
-                 inf_queue: ProducerConsumerQueue,
-                 c: Config,
-                 model_name: str,
-                 server_url: str,
-                 force_convert_inputs: bool = False,
-                 use_shared_memory: bool = False,
-                 inout_mapping: typing.Dict[str, str] = None):
-        super().__init__(inf_queue,
-                         c,
-                         model_name=model_name,
-                         server_url=server_url,
-                         force_convert_inputs=force_convert_inputs,
-                         use_shared_memory=use_shared_memory,
-                         inout_mapping=inout_mapping)
+    needs_logits : bool, optional
+        Determines whether a logits calculation is needed for the value returned by the Triton inference response. If
+        undefined, the value will be inferred based on the pipeline mode, defaulting to `True` for NLP and `False` for
+        other modes.
+    inout_mapping : dict[str, str], optional
+        Dictionary used to map pipeline input/output names to Triton input/output names.
+        Use this if the Morpheus names do not match the model.
+        If undefined, a default mapping will be used based on the pipeline mode as follows:
 
-    @classmethod
-    def default_inout_mapping(cls) -> typing.Dict[str, str]:
-        """
-        Returns default dictionary used to map FIL pipeline input/output names to Triton input/output names
+        * `FIL`: `{"output__0": "probs"}`
 
-        Returns
-        -------
-        default_inout_mapping : typing.Dict[str, str]
-            Dictionary with default input and output names.
-        """
-        # Some models use different names for the same thing. Set that here but allow user customization
-        return {
-            "output__0": "probs",
-        }
+        * `NLP`: `{"attention_mask": "input_mask", "output": "probs"}`
 
-    def _build_response(self, batch: MultiInferenceMessage, result: tritonclient.InferResult) -> TensorMemory:
+        * All other modes: `{}`
 
-        output = {output.mapped_name: result.as_numpy(output.name) for output in self._outputs.values()}
-
-        for key, val in output.items():
-            if (len(val.shape) == 1):
-                output[key] = np.expand_dims(val, 1)
-
-        mem = TensorMemory(
-            count=output["probs"].shape[0],
-            tensors={'probs': cp.array(output["probs"])}  # For now, only support one output
-        )
+        From the command line this can be specified multiple times for each key/value pair, for example:
 
-        return mem
+            --inout-mapping mask input_mask --inout-mapping output probs
 
+        which will be inroduced as:
 
-class TritonInferenceAE(_TritonInferenceWorker):
+            inout_mapping={"mask": "input_mask", "output": "probs"}
     """
-    This class extends `TritonInference` to deal with inference processing specific to the AutoEncoder.
-
-    Parameters
-    ----------
-    inf_queue : `morpheus.utils.producer_consumer_queue.ProducerConsumerQueue`
-        Inference queue.
-    c : `morpheus.config.Config`
-        Pipeline configuration instance.
-    model_name : str
-        Name of the model specifies which model can handle the inference requests that are sent to Triton
-        inference server.
-    server_url : str
-        Triton server gRPC URL including the port.
-    force_convert_inputs : bool, default = False
-        Whether or not to convert the inputs to the type specified by Triton. This will happen automatically if no
-        data would be lost in the conversion (i.e., float -> double). Set this to True to convert the input even if
-        data would be lost (i.e., double -> float).
-    use_shared_memory: bool, default = False
-        Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using CUDA IPC reduces network
-        transfer time but requires that Morpheus and Triton are located on the same machine.
-    inout_mapping : typing.Dict[str, str]
-        Dictionary used to map pipeline input/output names to Triton input/output names. Use this if the
-        Morpheus names do not match the model.
 
-    """
+    _INFERENCE_WORKER_DEFAULT_INOUT_MAPPING = {
+        PipelineModes.FIL: {
+            "outputs": {
+                "output__0": "probs",
+            }
+        },
+        PipelineModes.NLP: {
+            "inputs": {
+                "attention_mask": "input_mask",
+            }, "outputs": {
+                "output": "probs",
+            }
+        }
+    }
 
     def __init__(self,
-                 inf_queue: ProducerConsumerQueue,
                  c: Config,
                  model_name: str,
                  server_url: str,
                  force_convert_inputs: bool = False,
                  use_shared_memory: bool = False,
-                 inout_mapping: typing.Dict[str, str] = None):
-        super().__init__(inf_queue,
-                         c,
-                         model_name=model_name,
-                         server_url=server_url,
-                         force_convert_inputs=force_convert_inputs,
-                         use_shared_memory=use_shared_memory,
-                         inout_mapping=inout_mapping)
-
-        import torch
+                 needs_logits: bool = None,
+                 inout_mapping: dict[str, str] = None,
+                 input_mapping: dict[str, str] = None,
+                 output_mapping: dict[str, str] = None):
+        super().__init__(c)
 
-        from morpheus.models.dfencoder import AutoEncoder
+        self._config = c
 
-        # Save the autoencoder path
-        with open(c.ae.autoencoder_path, 'rb') as in_strm:
-            self._autoencoder = AutoEncoder()
-            self._autoencoder.load_state_dict(torch.load(in_strm))
+        if needs_logits is None:
+            needs_logits = c.mode == PipelineModes.NLP
 
-            # Ensure that there is a label_smoothing property on cce. Necessary if pytorch version is different
-            if (not hasattr(self._autoencoder.cce, "label_smoothing")):
-                self._autoencoder.cce.label_smoothing = 0.0
+        input_mapping_ = self._INFERENCE_WORKER_DEFAULT_INOUT_MAPPING.get(c.mode, {}).get("inputs", {})
+        output_mapping_ = self._INFERENCE_WORKER_DEFAULT_INOUT_MAPPING.get(c.mode, {}).get("outputs", {})
 
-    @classmethod
-    def supports_cpp_node(cls):
-        # Enable support by default
-        return False
+        if inout_mapping:
 
-    def _build_response(self, batch: MultiInferenceMessage, result: tritonclient.InferResult) -> TensorMemory:
+            if input_mapping:
+                raise RuntimeError(
+                    "TritonInferenceStages' `inout_mapping` and `input_mapping` arguments cannot be used together`")
 
-        import torch
+            if output_mapping:
+                raise RuntimeError(
+                    "TritonInferenceStages' `inout_mapping` and `output_mapping` arguments cannot be used together`")
 
-        output = {output.mapped_name: result.as_numpy(output.name) for output in self._outputs.values()}
+            warnings.warn(("TritonInferenceStage's `inout_mapping` argument has been deprecated. "
+                           "Please use `input_mapping` and/or `output_mapping` instead"),
+                          DeprecationWarning)
 
-        data = self._autoencoder.prepare_df(batch.get_meta())
-        num_target, bin_target, codes = self._autoencoder.compute_targets(data)
-        mse_loss = self._autoencoder.mse(torch.as_tensor(output["num"], device='cuda'), num_target)
-        net_loss = [mse_loss.data]
-        bce_loss = self._autoencoder.bce(torch.as_tensor(output["bin"], device='cuda'), bin_target)
-        net_loss += [bce_loss.data]
-        cce_loss = []
-        for i, ft in enumerate(self._autoencoder.categorical_fts):
-            loss = self._autoencoder.cce(torch.as_tensor(output[ft], device='cuda'), codes[i])
-            cce_loss.append(loss)
-            net_loss += [loss.data.reshape(-1, 1)]
-
-        net_loss = torch.cat(net_loss, dim=1).mean(dim=1)
-        ae_scores = cp.asarray(net_loss)
-        ae_scores = ae_scores.reshape((batch.count, 1))
-
-        mem = TensorMemory(
-            count=batch.count,
-            tensors={'probs': ae_scores}  # For now, only support one output
-        )
+            input_mapping_.update(inout_mapping)
+            output_mapping_.update(inout_mapping)
 
-        return mem
+        if input_mapping is not None:
+            input_mapping_.update(input_mapping)
 
+        if output_mapping is not None:
+            output_mapping_.update(output_mapping)
 
-@register_stage("inf-triton")
-class TritonInferenceStage(InferenceStage):
-    """
-    Perform inference with Triton Inference Server.
-
-    This class specifies which inference implementation category (Ex: NLP/FIL) is needed for inferencing.
-
-    Parameters
-    ----------
-    c : `morpheus.config.Config`
-        Pipeline configuration instance.
-    model_name : str
-        Name of the model specifies which model can handle the inference requests that are sent to Triton inference
-        server.
-    server_url : str
-        Triton server URL.
-    force_convert_inputs : bool, default = False
-        Instructs the stage to convert the incoming data to the same format that Triton is expecting. If set to False,
-        data will only be converted if it would not result in the loss of data.
-    use_shared_memory : bool, default = False, is_flag = True
-        Whether or not to use CUDA Shared IPC Memory for transferring data to Triton. Using CUDA IPC reduces network
-        transfer time but requires that Morpheus and Triton are located on the same machine.
-    """
-
-    def __init__(self,
-                 c: Config,
-                 model_name: str,
-                 server_url: str,
-                 force_convert_inputs: bool = False,
-                 use_shared_memory: bool = False):
-        super().__init__(c)
-
-        self._config = c
-
-        self._kwargs = {
-            "model_name": model_name,
-            "server_url": server_url,
-            "force_convert_inputs": force_convert_inputs,
-            "use_shared_memory": use_shared_memory,
-        }
-
-        self._requires_seg_ids = False
+        self._server_url = server_url
+        self._model_name = model_name
+        self._force_convert_inputs = force_convert_inputs
+        self._use_shared_memory = use_shared_memory
+        self._input_mapping = input_mapping_
+        self._output_mapping = output_mapping_
+        self._needs_logits = needs_logits
 
-    def supports_cpp_node(self):
+    def supports_cpp_node(self) -> bool:
         # Get the value from the worker class
-        return self._get_worker_class().supports_cpp_node()
+        return TritonInferenceWorker.supports_cpp_node()
 
-    def _get_worker_class(self):
-        if (self._config.mode == PipelineModes.NLP):
-            return TritonInferenceNLP
-        elif (self._config.mode == PipelineModes.FIL):
-            return TritonInferenceFIL
-        elif (self._config.mode == PipelineModes.AE):
-            return TritonInferenceAE
-        else:
-            raise NotImplementedError("Unknown config mode")
-
-    def _get_inference_worker(self, inf_queue: ProducerConsumerQueue) -> InferenceWorker:
-
-        worker_cls = self._get_worker_class()
-
-        return worker_cls(inf_queue=inf_queue, c=self._config, **self._kwargs)
-
-    def _get_cpp_inference_node(self, builder: mrc.Builder):
+    def _get_inference_worker(self, inf_queue: ProducerConsumerQueue) -> TritonInferenceWorker:
+        """
+        Returns the worker for this stage. Authors of custom sub-classes can override this method to provide a custom
+        worker.
+        """
 
+        return TritonInferenceWorker(inf_queue=inf_queue,
+                                     c=self._config,
+                                     server_url=self._server_url,
+                                     model_name=self._model_name,
+                                     force_convert_inputs=self._force_convert_inputs,
+                                     use_shared_memory=self._use_shared_memory,
+                                     input_mapping=self._input_mapping,
+                                     output_mapping=self._output_mapping,
+                                     needs_logits=self._needs_logits)
+
+    def _get_cpp_inference_node(self, builder: mrc.Builder) -> mrc.SegmentObject:
         return _stages.InferenceClientStage(builder,
-                                            name=self.unique_name,
-                                            needs_logits=self._get_worker_class().needs_logits(),
-                                            inout_mapping=self._get_worker_class().default_inout_mapping(),
-                                            **self._kwargs)
+                                            self.unique_name,
+                                            self._server_url,
+                                            self._model_name,
+                                            self._needs_logits,
+                                            self._input_mapping,
+                                            self._output_mapping)
diff --git a/morpheus/stages/input/__init__.py b/morpheus/stages/input/__init__.py
index f80f5c5ca1..f5351f78ff 100644
--- a/morpheus/stages/input/__init__.py
+++ b/morpheus/stages/input/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/input/appshield_source_stage.py b/morpheus/stages/input/appshield_source_stage.py
index ea3858d8fb..3343bd30f9 100644
--- a/morpheus/stages/input/appshield_source_stage.py
+++ b/morpheus/stages/input/appshield_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/input/arxiv_source.py b/morpheus/stages/input/arxiv_source.py
index 9895232bef..c1ed77c0cb 100644
--- a/morpheus/stages/input/arxiv_source.py
+++ b/morpheus/stages/input/arxiv_source.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -36,10 +36,8 @@
 
 IMPORT_ERROR_MESSAGE = (
     "ArxivSource requires additional dependencies to be installed. Install them by running the following command: "
-    "`mamba install -n base -c conda-forge conda-merge`\n"
-    "`conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml "
-    "  docker/conda/environments/cuda${CUDA_VER}_examples.yml"
-    "  > .tmp/merged.yml && mamba env update -n morpheus --file .tmp/merged.yml`")
+    "`conda env update --solver=libmamba -n morpheus"
+    "--file conda/environments/all_cuda-121_arch-x86_64.yaml --prune`")
 
 
 @register_stage("from-arxiv")
@@ -48,10 +46,8 @@ class ArxivSource(PreallocatorMixin, SingleOutputSource):
     Source stage that downloads PDFs from arxiv and converts them to dataframes.
 
     This stage requires several additional dependencies to be installed. Install them by running the following command:
-    mamba install -n base -c conda-forge conda-merge
-    conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml
-    docker/conda/environments/cuda${CUDA_VER}_examples.yml
-    > .tmp/merged.yml && mamba env update -n morpheus --file .tmp/merged.yml
+    `conda env update --solver=libmamba -n morpheus "
+    "--file conda/environments/all_cuda-121_arch-x86_64.yaml --prune`
 
     Parameters
     ----------
diff --git a/morpheus/stages/input/autoencoder_source_stage.py b/morpheus/stages/input/autoencoder_source_stage.py
index fd0bc325ae..ba9cbcc1d3 100644
--- a/morpheus/stages/input/autoencoder_source_stage.py
+++ b/morpheus/stages/input/autoencoder_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/input/azure_source_stage.py b/morpheus/stages/input/azure_source_stage.py
index f08c518256..38661e3fc4 100644
--- a/morpheus/stages/input/azure_source_stage.py
+++ b/morpheus/stages/input/azure_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -107,7 +107,7 @@ def derive_features(df: pd.DataFrame, feature_columns: typing.List[str]):
             Dataframe with actual and derived columns.
         """
 
-        _DEFAULT_DATE = '1970-01-01T00:00:00.000000+00:00'
+        default_date = '1970-01-01T00:00:00.000000+00:00'
         timestamp_column = "createdDateTime"
         city_column = "locationcity"
         state_column = "locationstate"
@@ -117,7 +117,7 @@ def derive_features(df: pd.DataFrame, feature_columns: typing.List[str]):
         df = AzureSourceStage.change_columns(df)
         df['time'] = pd.to_datetime(df[timestamp_column], errors='coerce')
         df['day'] = df['time'].dt.date
-        df.fillna({'time': pd.to_datetime(_DEFAULT_DATE), 'day': pd.to_datetime(_DEFAULT_DATE).date()}, inplace=True)
+        df.fillna({'time': pd.to_datetime(default_date), 'day': pd.to_datetime(default_date).date()}, inplace=True)
         df.sort_values(by=['time'], inplace=True)
 
         overall_location_columns = [col for col in [city_column, state_column, country_column] if col is not None]
diff --git a/morpheus/stages/input/cloud_trail_source_stage.py b/morpheus/stages/input/cloud_trail_source_stage.py
index 0e72c28c76..cb27ce93f5 100644
--- a/morpheus/stages/input/cloud_trail_source_stage.py
+++ b/morpheus/stages/input/cloud_trail_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -116,11 +116,7 @@ def cleanup_df(df: pd.DataFrame, feature_columns: typing.List[str]):
         df["event_dt"] = pd.to_datetime(df["eventTime"])
 
         def remove_null(x):
-            """
-            Util function that cleans up data.
-            :param x:
-            :return:
-            """
+
             if isinstance(x, list):
                 if isinstance(x[0], dict):
                     key = list(x[0].keys())
@@ -128,11 +124,7 @@ def remove_null(x):
             return x
 
         def clean_column(cloudtrail_df):
-            """
-            Clean a certain column based on lists inside.
-            :param cloudtrail_df:
-            :return:
-            """
+
             col_name = 'requestParametersownersSetitems'
             if (col_name in cloudtrail_df):
                 cloudtrail_df[col_name] = cloudtrail_df[col_name].apply(lambda x: remove_null(x))
diff --git a/morpheus/stages/input/control_message_file_source_stage.py b/morpheus/stages/input/control_message_file_source_stage.py
index 173d7998ee..11fcdd4b10 100644
--- a/morpheus/stages/input/control_message_file_source_stage.py
+++ b/morpheus/stages/input/control_message_file_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/input/control_message_kafka_source_stage.py b/morpheus/stages/input/control_message_kafka_source_stage.py
index 9413e68966..602b360c8d 100644
--- a/morpheus/stages/input/control_message_kafka_source_stage.py
+++ b/morpheus/stages/input/control_message_kafka_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/input/databricks_deltalake_source_stage.py b/morpheus/stages/input/databricks_deltalake_source_stage.py
index f85639b770..4d6304641a 100644
--- a/morpheus/stages/input/databricks_deltalake_source_stage.py
+++ b/morpheus/stages/input/databricks_deltalake_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -24,19 +24,18 @@
 from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 from morpheus.pipeline.single_output_source import SingleOutputSource
 from morpheus.pipeline.stage_schema import StageSchema
-from morpheus.utils.verify_dependencies import _verify_deps
 
 logger = logging.getLogger(__name__)
 
-REQUIRED_DEPS = ('DatabricksSession', 'sf', 'Window')
+IMPORT_EXCEPTION = None
 IMPORT_ERROR_MESSAGE = "DatabricksDeltaLakeSourceStage requires the databricks-connect package to be installed."
 
 try:
     from databricks.connect import DatabricksSession
     from pyspark.sql import functions as sf
     from pyspark.sql.window import Window
-except ImportError:
-    pass
+except ImportError as import_exc:
+    IMPORT_EXCEPTION = import_exc
 
 
 @register_stage("from-databricks-deltalake")
@@ -67,7 +66,9 @@ def __init__(self,
                  databricks_host: str = None,
                  databricks_token: str = None,
                  databricks_cluster_id: str = None):
-        _verify_deps(REQUIRED_DEPS, IMPORT_ERROR_MESSAGE, globals())
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
         super().__init__(config)
         self.spark_query = spark_query
         self.spark = DatabricksSession.builder.remote(host=databricks_host,
diff --git a/morpheus/stages/input/duo_source_stage.py b/morpheus/stages/input/duo_source_stage.py
index e8f4709c91..8f5e9c86c0 100644
--- a/morpheus/stages/input/duo_source_stage.py
+++ b/morpheus/stages/input/duo_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/input/file_source_stage.py b/morpheus/stages/input/file_source_stage.py
index d05c8c2190..eb4630fb3e 100644
--- a/morpheus/stages/input/file_source_stage.py
+++ b/morpheus/stages/input/file_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -19,6 +19,8 @@
 
 import mrc
 
+# pylint: disable=morpheus-incorrect-lib-from-import
+from morpheus._lib.messages import MessageMeta as CppMessageMeta
 from morpheus.cli import register_stage
 from morpheus.common import FileTypes
 from morpheus.config import Config
@@ -55,7 +57,7 @@ class FileSourceStage(PreallocatorMixin, SingleOutputSource):
     repeat : int, default = 1, min = 1
         Repeats the input dataset multiple times. Useful to extend small datasets for debugging.
     filter_null : bool, default = True
-        Whether or not to filter rows with null 'data' column. Null values in the 'data' column can cause issues down
+        Whether to filter rows with null 'data' column. Null values in the 'data' column can cause issues down
         the line with processing. Setting this to True is recommended.
     parser_kwargs : dict, default = {}
         Extra options to pass to the file parser.
@@ -98,7 +100,7 @@ def input_count(self) -> int:
         return self._input_count
 
     def supports_cpp_node(self) -> bool:
-        """Indicates whether or not this stage supports a C++ node"""
+        """Indicates whether this stage supports a C++ node"""
         return True
 
     def compute_schema(self, schema: StageSchema):
@@ -129,8 +131,10 @@ def _generate_frames(self) -> typing.Iterable[MessageMeta]:
         )
 
         for i in range(self._repeat_count):
-
-            x = MessageMeta(df)
+            if (self._build_cpp_node()):
+                x = CppMessageMeta(df)
+            else:
+                x = MessageMeta(df)
 
             # If we are looping, copy the object. Do this before we push the object in case it changes
             if (i + 1 < self._repeat_count):
diff --git a/morpheus/stages/input/http_client_source_stage.py b/morpheus/stages/input/http_client_source_stage.py
index b6b8b833d3..5b6ab45252 100644
--- a/morpheus/stages/input/http_client_source_stage.py
+++ b/morpheus/stages/input/http_client_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/input/http_server_source_stage.py b/morpheus/stages/input/http_server_source_stage.py
index 9aa8df0be4..70e47eb873 100644
--- a/morpheus/stages/input/http_server_source_stage.py
+++ b/morpheus/stages/input/http_server_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -126,7 +126,7 @@ def name(self) -> str:
         return "from-http"
 
     def supports_cpp_node(self) -> bool:
-        """Indicates whether or not this stage supports C++ nodes."""
+        """Indicates whether this stage supports C++ nodes."""
         return True
 
     def compute_schema(self, schema: StageSchema):
diff --git a/morpheus/stages/input/in_memory_data_generation_stage.py b/morpheus/stages/input/in_memory_data_generation_stage.py
new file mode 100644
index 0000000000..a9f5d763ae
--- /dev/null
+++ b/morpheus/stages/input/in_memory_data_generation_stage.py
@@ -0,0 +1,65 @@
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+from typing import Any
+from typing import Callable
+from typing import Iterable
+from typing import Type
+
+import mrc
+
+from morpheus.config import Config
+from morpheus.pipeline.single_output_source import SingleOutputSource
+from morpheus.pipeline.stage_schema import StageSchema
+
+logger = logging.getLogger(f"morpheus.{__name__}")
+
+
+class InMemoryDataGenStage(SingleOutputSource):
+    """
+    Source stage that generates data in-memory using a provided iterable or generator function.
+
+    Parameters
+    ----------
+    c : `morpheus.config.Config`
+        Pipeline configuration instance.
+    data_source : Callable[[], Iterable[Any]]
+        An iterable or a generator function that yields data to be processed by the pipeline.
+    output_data_type : Type
+        The data type of the objects that the data_source yields.
+    """
+
+    def __init__(self, c: Config, data_source: Callable[[], Iterable[Any]], output_data_type: Type = Any):
+        super().__init__(c)
+        self._data_source = data_source
+        self._output_data_type = output_data_type
+
+    @property
+    def name(self) -> str:
+        return "in-memory-data-gen"
+
+    def compute_schema(self, schema: StageSchema):
+        # Set the output schema based on the OutputDataType
+        schema.output_schema.set_type(self._output_data_type)
+
+    def supports_cpp_node(self):
+        return False
+
+    def _generate_data(self) -> Iterable[Any]:
+        # Directly use the data source as it's already an iterable
+        return self._data_source()
+
+    def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
+        return builder.make_source(self.unique_name, self._generate_data())
diff --git a/morpheus/stages/input/in_memory_source_stage.py b/morpheus/stages/input/in_memory_source_stage.py
index 18da2deb18..5109f61800 100644
--- a/morpheus/stages/input/in_memory_source_stage.py
+++ b/morpheus/stages/input/in_memory_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -14,37 +14,52 @@
 
 import typing
 
-import mrc
-
 import cudf
 
 from morpheus.config import Config
 from morpheus.messages import MessageMeta
 from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
-from morpheus.pipeline.single_output_source import SingleOutputSource
 from morpheus.pipeline.stage_schema import StageSchema
+from morpheus.stages.input.in_memory_data_generation_stage import InMemoryDataGenStage
 
 
-class InMemorySourceStage(PreallocatorMixin, SingleOutputSource):
+class InMemorySourceStage(PreallocatorMixin, InMemoryDataGenStage):
     """
-    Input source that emits a pre-defined list of dataframes.
+    Input source that emits a pre-defined list of dataframes, derived from InMemoryDataGenStage.
 
     Parameters
     ----------
     c : `morpheus.config.Config`
         Pipeline configuration instance.
     dataframes : typing.List[cudf.DataFrame]
-        List of dataframes to emit wrapped in `MessageMeta` instances in order
+        List of dataframes to emit wrapped in `MessageMeta` instances in order.
     repeat : int, default = 1, min = 1
         Repeats the input dataset multiple times. Useful to extend small datasets for debugging.
     """
 
     def __init__(self, c: Config, dataframes: typing.List[cudf.DataFrame], repeat: int = 1):
-        super().__init__(c)
-
+        # Prepare a generator function based on the provided dataframes and repeat count
         self._dataframes = dataframes
         self._repeat_count = repeat
 
+        def _generate_frames() -> typing.Iterator[MessageMeta]:
+            for i in range(self._repeat_count):
+                for k, df in enumerate(self._dataframes):
+                    x = MessageMeta(df)
+
+                    # If we are looping, copy the object. Do this before we push the object in case it changes
+                    if (i + 1 < self._repeat_count):
+                        df = df.copy()
+
+                        # Shift the index to allow for unique indices without reading more data
+                        df.index += len(df)
+                        self._dataframes[k] = df
+
+                    yield x
+
+        # Initialize the base InMemoryDataGenStage with the generator function
+        super().__init__(c, data_source=_generate_frames, output_data_type=MessageMeta)
+
     @property
     def name(self) -> str:
         return "from-mem"
@@ -54,21 +69,3 @@ def supports_cpp_node(self) -> bool:
 
     def compute_schema(self, schema: StageSchema):
         schema.output_schema.set_type(MessageMeta)
-
-    def _generate_frames(self) -> typing.Iterator[MessageMeta]:
-        for i in range(self._repeat_count):
-            for k, df in enumerate(self._dataframes):
-                x = MessageMeta(df)
-
-                # If we are looping, copy the object. Do this before we push the object in case it changes
-                if (i + 1 < self._repeat_count):
-                    df = df.copy()
-
-                    # Shift the index to allow for unique indices without reading more data
-                    df.index += len(df)
-                    self._dataframes[k] = df
-
-                yield x
-
-    def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
-        return builder.make_source(self.unique_name, self._generate_frames())
diff --git a/morpheus/stages/input/kafka_source_stage.py b/morpheus/stages/input/kafka_source_stage.py
index fe63ef73ff..8893110cf8 100644
--- a/morpheus/stages/input/kafka_source_stage.py
+++ b/morpheus/stages/input/kafka_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/input/rss_source_stage.py b/morpheus/stages/input/rss_source_stage.py
index 586fa05883..31e408c290 100644
--- a/morpheus/stages/input/rss_source_stage.py
+++ b/morpheus/stages/input/rss_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -13,14 +13,13 @@
 # limitations under the License.
 
 import logging
-import time
 
 import mrc
 
 from morpheus.cli import register_stage
 from morpheus.config import Config
-from morpheus.controllers.rss_controller import RSSController
 from morpheus.messages import MessageMeta
+from morpheus.modules.input.rss_source import RSSSourceLoaderFactory
 from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 from morpheus.pipeline.single_output_source import SingleOutputSource
 from morpheus.pipeline.stage_schema import StageSchema
@@ -60,16 +59,14 @@ def __init__(self,
                  feed_input: list[str],
                  interval_secs: float = 600,
                  stop_after: int = 0,
-                 run_indefinitely: bool = None,
-                 batch_size: int = None,
+                 run_indefinitely: bool = False,
+                 batch_size: int = 32,
                  enable_cache: bool = False,
                  cache_dir: str = "./.cache/http",
                  cooldown_interval: int = 600,
                  request_timeout: float = 2.0):
         super().__init__(c)
         self._stop_requested = False
-        self._stop_after = stop_after
-        self._interval_secs = interval_secs
 
         if (batch_size is None):
             batch_size = c.pipeline_batch_size
@@ -80,14 +77,21 @@ def __init__(self,
 
             run_indefinitely = False
 
-        self._records_emitted = 0
-        self._controller = RSSController(feed_input=feed_input,
-                                         batch_size=batch_size,
-                                         run_indefinitely=run_indefinitely,
-                                         enable_cache=enable_cache,
-                                         cache_dir=cache_dir,
-                                         cooldown_interval=cooldown_interval,
-                                         request_timeout=request_timeout)
+        self._module_config = {
+            "rss_source": {
+                "feed_input": feed_input,
+                "interval_sec": interval_secs,
+                "stop_after_sec": stop_after,
+                "run_indefinitely": run_indefinitely,
+                "batch_size": batch_size,
+                "enable_cache": enable_cache,
+                "cache_dir": cache_dir,
+                "cooldown_interval_sec": cooldown_interval,
+                "request_timeout_sec": request_timeout
+            }
+        }
+
+        self._module_loader = RSSSourceLoaderFactory.get_instance("rss_source_stage", self._module_config)
 
     @property
     def name(self) -> str:
@@ -106,42 +110,9 @@ def supports_cpp_node(self):
     def compute_schema(self, schema: StageSchema):
         schema.output_schema.set_type(MessageMeta)
 
-    def _fetch_feeds(self) -> MessageMeta:
-        """
-        Fetch RSS feed entries and yield as MessageMeta object.
-        """
-
-        while (not self._stop_requested):
-            try:
-                for df in self._controller.fetch_dataframes():
-                    df_size = len(df)
-
-                    if logger.isEnabledFor(logging.DEBUG):
-                        logger.debug("Received %d new entries...", df_size)
-                        logger.debug("Emitted %d records so far.", self._records_emitted)
-
-                    yield MessageMeta(df=df)
-
-                    self._records_emitted += df_size
-
-                    if (self._stop_after > 0 and self._records_emitted >= self._stop_after):
-                        self._stop_requested = True
-                        logger.debug("Stop limit reached... preparing to halt the source.")
-                        break
-
-            except Exception as exc:
-                if not self._controller.run_indefinitely:
-                    logger.error("Failed either in the process of fetching or processing entries: %d.", exc)
-                    raise
-
-            if not self._controller.run_indefinitely:
-                self._stop_requested = True
-                continue
-
-            logger.debug("Waiting for %d seconds before fetching again...", self._interval_secs)
-            time.sleep(self._interval_secs)
+    def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
+        module = self._module_loader.load(builder=builder)
 
-        logger.debug("Source stopped.")
+        mod_out_node = module.output_port("output")
 
-    def _build_source(self, builder: mrc.Builder) -> mrc.SegmentObject:
-        return builder.make_source(self.unique_name, self._fetch_feeds)
+        return mod_out_node
diff --git a/morpheus/stages/llm/__init__.py b/morpheus/stages/llm/__init__.py
index 0222dd20a7..03dd619fdc 100644
--- a/morpheus/stages/llm/__init__.py
+++ b/morpheus/stages/llm/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/llm/llm_engine_stage.py b/morpheus/stages/llm/llm_engine_stage.py
index d40d7899f9..012681c3d4 100644
--- a/morpheus/stages/llm/llm_engine_stage.py
+++ b/morpheus/stages/llm/llm_engine_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/output/__init__.py b/morpheus/stages/output/__init__.py
index 13d6dfd796..d60542db66 100644
--- a/morpheus/stages/output/__init__.py
+++ b/morpheus/stages/output/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/output/compare_dataframe_stage.py b/morpheus/stages/output/compare_dataframe_stage.py
index dbc3646d7e..86ae3dc6ce 100644
--- a/morpheus/stages/output/compare_dataframe_stage.py
+++ b/morpheus/stages/output/compare_dataframe_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/output/http_client_sink_stage.py b/morpheus/stages/output/http_client_sink_stage.py
index 41991e02e2..d3cd8dbba3 100644
--- a/morpheus/stages/output/http_client_sink_stage.py
+++ b/morpheus/stages/output/http_client_sink_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/output/http_server_sink_stage.py b/morpheus/stages/output/http_server_sink_stage.py
index 458f821c67..2a0be0a298 100644
--- a/morpheus/stages/output/http_server_sink_stage.py
+++ b/morpheus/stages/output/http_server_sink_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -142,7 +142,7 @@ def supports_cpp_node(self):
         """Indicates whether or not this stage supports a C++ node."""
         return False
 
-    def on_start(self):
+    async def start_async(self):
         """Starts the HTTP server."""
         from morpheus.common import HttpServer
         self._server = HttpServer(parse_fn=self._request_handler,
diff --git a/morpheus/stages/output/in_memory_sink_stage.py b/morpheus/stages/output/in_memory_sink_stage.py
index b82e69d0e9..e3b7d0af16 100644
--- a/morpheus/stages/output/in_memory_sink_stage.py
+++ b/morpheus/stages/output/in_memory_sink_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/output/write_to_databricks_deltalake_stage.py b/morpheus/stages/output/write_to_databricks_deltalake_stage.py
index c8ef52443b..6b98ffeb92 100644
--- a/morpheus/stages/output/write_to_databricks_deltalake_stage.py
+++ b/morpheus/stages/output/write_to_databricks_deltalake_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -26,18 +26,17 @@
 from morpheus.messages import MessageMeta
 from morpheus.pipeline.pass_thru_type_mixin import PassThruTypeMixin
 from morpheus.pipeline.single_port_stage import SinglePortStage
-from morpheus.utils.verify_dependencies import _verify_deps
 
 logger = logging.getLogger(__name__)
 
-REQUIRED_DEPS = ('DatabricksSession', 'sql_types')
+IMPORT_EXCEPTION = None
 IMPORT_ERROR_MESSAGE = "DataBricksDeltaLakeSinkStage requires the databricks-connect package to be installed."
 
 try:
     from databricks.connect import DatabricksSession
     from pyspark.sql import types as sql_types
-except ImportError:
-    pass
+except ImportError as import_exc:
+    IMPORT_EXCEPTION = import_exc
 
 
 @register_stage("to-databricks-deltalake")
@@ -68,7 +67,9 @@ def __init__(self,
                  databricks_token: str = None,
                  databricks_cluster_id: str = None,
                  delta_table_write_mode: str = "append"):
-        _verify_deps(REQUIRED_DEPS, IMPORT_ERROR_MESSAGE, globals())
+        if IMPORT_EXCEPTION is not None:
+            raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION
+
         super().__init__(config)
         self.delta_path = delta_path
         self.delta_table_write_mode = delta_table_write_mode
diff --git a/morpheus/stages/output/write_to_elasticsearch_stage.py b/morpheus/stages/output/write_to_elasticsearch_stage.py
index a351ef89e6..eede6926e8 100644
--- a/morpheus/stages/output/write_to_elasticsearch_stage.py
+++ b/morpheus/stages/output/write_to_elasticsearch_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/output/write_to_file_stage.py b/morpheus/stages/output/write_to_file_stage.py
index da6fdd6563..46b7e5cec6 100644
--- a/morpheus/stages/output/write_to_file_stage.py
+++ b/morpheus/stages/output/write_to_file_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/output/write_to_kafka_stage.py b/morpheus/stages/output/write_to_kafka_stage.py
index bc533350bc..3546a14563 100644
--- a/morpheus/stages/output/write_to_kafka_stage.py
+++ b/morpheus/stages/output/write_to_kafka_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/output/write_to_vector_db_stage.py b/morpheus/stages/output/write_to_vector_db_stage.py
index f6b17e6ad4..2b2fddc394 100644
--- a/morpheus/stages/output/write_to_vector_db_stage.py
+++ b/morpheus/stages/output/write_to_vector_db_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -13,19 +13,20 @@
 # limitations under the License.
 
 import logging
+import pickle
 import typing
 
 import mrc
-from mrc.core import operators as ops
 
 from morpheus.config import Config
 from morpheus.messages import ControlMessage
 from morpheus.messages import MultiResponseMessage
 from morpheus.messages.multi_message import MultiMessage
+from morpheus.modules.output.write_to_vector_db import WriteToVectorDBLoaderFactory
 from morpheus.pipeline.pass_thru_type_mixin import PassThruTypeMixin
 from morpheus.pipeline.single_port_stage import SinglePortStage
-from morpheus.service.vdb.utils import VectorDBServiceFactory
 from morpheus.service.vdb.vector_db_service import VectorDBService
+from morpheus.utils.module_utils import ModuleLoader
 
 logger = logging.getLogger(__name__)
 
@@ -49,6 +50,11 @@ class WriteToVectorDBStage(PassThruTypeMixin, SinglePortStage):
         Specifies whether to recreate the resource if it already exists, by default False.
     resource_kwargs : dict, optional
         Additional keyword arguments to pass when performing vector database writes on a given resource.
+    batch_size : int
+        Accumulates messages until reaching the specified batch size for writing to VDB.
+    write_time_interval : float
+        Specifies the time interval (in seconds) for writing messages, or writing messages
+        when the accumulated batch size is reached.
     **service_kwargs : dict
         Additional keyword arguments to pass when creating a VectorDBService instance.
 
@@ -65,38 +71,39 @@ def __init__(self,
                  embedding_column_name: str = "embedding",
                  recreate: bool = False,
                  resource_kwargs: dict = None,
+                 batch_size: int = 1024,
+                 write_time_interval: float = 3.0,
+                 resource_schemas: dict = None,
                  **service_kwargs):
 
         super().__init__(config)
 
-        self._resource_name = resource_name
-        self._embedding_column_name = embedding_column_name
-        self._recreate = recreate
-        self._resource_kwargs = resource_kwargs if resource_kwargs is not None else {}
-
-        if isinstance(service, str):
-            # If service is a string, assume it's the service name
-            self._service: VectorDBService = VectorDBServiceFactory.create_instance(service_name=service,
-                                                                                    **service_kwargs)
-        elif isinstance(service, VectorDBService):
-            # If service is an instance of VectorDBService, use it directly
-            self._service: VectorDBService = service
-        else:
-            raise ValueError("service must be a string (service name) or an instance of VectorDBService")
-
-        has_object = self._service.has_store_object(name=self._resource_name)
-
-        if (self._recreate and has_object):
-            # Delete the existing resource
-            self._service.drop(name=self._resource_name)
-            has_object = False
-
-        # Ensure that the resource exists
-        if (not has_object):
-            self._service.create(name=self._resource_name, **self._resource_kwargs)
-
-        # Get the service for just the resource we are interested in
-        self._resource_service = self._service.load_resource(name=self._resource_name)
+        resource_kwargs = resource_kwargs if resource_kwargs is not None else {}
+        resource_schemas = resource_schemas if resource_schemas is not None else {}
+        is_service_serialized = False
+        if isinstance(service, VectorDBService):
+            service = str(pickle.dumps(service), encoding="latin1")
+            is_service_serialized = True
+
+        module_config = {
+            "batch_size": batch_size,
+            "default_resource_name": resource_name,
+            "embedding_column_name": embedding_column_name,
+            "is_service_serialized": is_service_serialized,
+            "recreate": recreate,
+            "resource_kwargs": resource_kwargs,
+            "resource_schemas": resource_schemas,
+            "service_kwargs": service_kwargs,
+            "service": service,
+            "write_time_interval": write_time_interval
+        }
+
+        module_name = f"write_to_vector_db__{resource_name}"
+
+        if logger.isEnabledFor(logging.DEBUG):
+            logger.debug("Module will be loading with name: %s", module_name)
+
+        self._module_loader: ModuleLoader = WriteToVectorDBLoaderFactory.get_instance(module_name, module_config)
 
     @property
     def name(self) -> str:
@@ -118,52 +125,14 @@ def supports_cpp_node(self):
         """Indicates whether this stage supports a C++ node."""
         return False
 
-    def on_completed(self):
-        # Close vector database service connection
-        self._service.close()
-
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
 
-        def extract_df(msg):
-            df = None
-
-            if isinstance(msg, ControlMessage):
-                df = msg.payload().df
-            elif isinstance(msg, MultiResponseMessage):
-                df = msg.get_meta()
-                if df is not None and not df.empty:
-                    embeddings = msg.get_probs_tensor()
-                    df[self._embedding_column_name] = embeddings.tolist()
-            elif isinstance(msg, MultiMessage):
-                df = msg.get_meta()
-            else:
-                raise RuntimeError(f"Unexpected message type '{type(msg)}' was encountered.")
-
-            return df
-
-        def on_data(msg):
-            try:
-                df = extract_df(msg)
-
-                if df is not None and not df.empty:
-                    result = self._service.insert_dataframe(name=self._resource_name, df=df, **self._resource_kwargs)
-
-                    if isinstance(msg, ControlMessage):
-                        msg.set_metadata("insert_response", result)
-
-                    return msg
-
-            except Exception as exc:
-                logger.error("Unable to insert into collection: %s due to %s", self._resource_name, exc)
-
-            return None
+        module = self._module_loader.load(builder)
 
-        to_vector_db = builder.make_node(self.unique_name,
-                                         ops.map(on_data),
-                                         ops.filter(lambda x: x is not None),
-                                         ops.on_completed(self.on_completed))
+        # Input and Output port names should be same as input and output port names of write_to_vector_db module.
+        mod_in_node = module.input_port("input")
+        mod_out_node = module.output_port("output")
 
-        builder.make_edge(input_node, to_vector_db)
+        builder.make_edge(input_node, mod_in_node)
 
-        # Return input unchanged to allow passthrough
-        return to_vector_db
+        return mod_out_node
diff --git a/morpheus/stages/postprocess/__init__.py b/morpheus/stages/postprocess/__init__.py
index d4e16d9f16..d4128d0f29 100644
--- a/morpheus/stages/postprocess/__init__.py
+++ b/morpheus/stages/postprocess/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/postprocess/add_classifications_stage.py b/morpheus/stages/postprocess/add_classifications_stage.py
index f63d0a38d7..40e37f264f 100644
--- a/morpheus/stages/postprocess/add_classifications_stage.py
+++ b/morpheus/stages/postprocess/add_classifications_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -20,6 +20,7 @@
 from morpheus.cli.register_stage import register_stage
 from morpheus.common import TypeId
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.stages.postprocess.add_scores_stage_base import AddScoresStageBase
 
 logger = logging.getLogger(__name__)
@@ -69,4 +70,13 @@ def supports_cpp_node(self):
 
     def _get_cpp_node(self, builder: mrc.Builder):
         import morpheus._lib.stages as _stages
-        return _stages.AddClassificationsStage(builder, self.unique_name, self._idx2label, self._threshold)
+        if (self._schema.input_type == ControlMessage):
+            return _stages.AddClassificationsControlMessageStage(builder,
+                                                                 self.unique_name,
+                                                                 self._idx2label,
+                                                                 self._threshold)
+
+        return _stages.AddClassificationsMultiResponseMessageStage(builder,
+                                                                   self.unique_name,
+                                                                   self._idx2label,
+                                                                   self._threshold)
diff --git a/morpheus/stages/postprocess/add_scores_stage.py b/morpheus/stages/postprocess/add_scores_stage.py
index 5c66bb2e1b..3d83866052 100644
--- a/morpheus/stages/postprocess/add_scores_stage.py
+++ b/morpheus/stages/postprocess/add_scores_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -20,6 +20,7 @@
 from morpheus.cli.register_stage import register_stage
 from morpheus.common import TypeId
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.stages.postprocess.add_scores_stage_base import AddScoresStageBase
 
 logger = logging.getLogger(__name__)
@@ -66,4 +67,7 @@ def supports_cpp_node(self):
 
     def _get_cpp_node(self, builder: mrc.Builder):
         import morpheus._lib.stages as _stages
-        return _stages.AddScoresStage(builder, self.unique_name, self._idx2label)
+        if (self._schema.input_type == ControlMessage):
+            return _stages.AddScoresControlMessageStage(builder, self.unique_name, self._idx2label)
+
+        return _stages.AddScoresMultiResponseMessageStage(builder, self.unique_name, self._idx2label)
diff --git a/morpheus/stages/postprocess/add_scores_stage_base.py b/morpheus/stages/postprocess/add_scores_stage_base.py
index 102a7a5541..40320d26a1 100644
--- a/morpheus/stages/postprocess/add_scores_stage_base.py
+++ b/morpheus/stages/postprocess/add_scores_stage_base.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -22,6 +22,7 @@
 
 from morpheus.common import TypeId
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.messages import MultiResponseMessage
 from morpheus.pipeline.pass_thru_type_mixin import PassThruTypeMixin
 from morpheus.pipeline.single_port_stage import SinglePortStage
@@ -90,14 +91,13 @@ def accepted_types(self) -> typing.Tuple:
             Accepted input types.
 
         """
-        return (MultiResponseMessage, )
+        return (MultiResponseMessage, ControlMessage)
 
     @abstractmethod
     def _get_cpp_node(self, builder: mrc.Builder):
         pass
 
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
-
         # Convert the messages to rows of strings
         if self._build_cpp_node():
             node = self._get_cpp_node(builder=builder)
@@ -111,9 +111,49 @@ def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) ->
         # Return input type unchanged
         return node
 
+    @typing.overload
+    @staticmethod
+    def _add_labels(x: MultiResponseMessage, idx2label: dict[int, str],
+                    threshold: typing.Optional[float]) -> MultiResponseMessage:
+        ...
+
+    @typing.overload
     @staticmethod
-    def _add_labels(x: MultiResponseMessage, idx2label: typing.Dict[int, str], threshold: typing.Optional[float]):
+    def _add_labels(x: ControlMessage, idx2label: dict[int, str], threshold: typing.Optional[float]) -> ControlMessage:
+        ...
+
+    @staticmethod
+    def _add_labels(x: MultiResponseMessage | ControlMessage,
+                    idx2label: dict[int, str],
+                    threshold: typing.Optional[float]):
+        if isinstance(x, ControlMessage):
+            return AddScoresStageBase.process_control_message(x, idx2label, threshold)
+        if isinstance(x, MultiResponseMessage):
+            return AddScoresStageBase.process_multi_message(x, idx2label, threshold)
+        raise TypeError("Unsupported message type")
+
+    @staticmethod
+    def process_control_message(x: ControlMessage, idx2label: typing.Dict[int, str], threshold: typing.Optional[float]):
+        probs = x.tensors().get_tensor("probs")
+
+        if (probs.shape[1] <= max(idx2label.keys())):
+            raise RuntimeError(("Model output did not contain enough columns to fufill the requested labels. "
+                                f"Label indexes: {idx2label}, Model output columns: {probs.shape[1]}"))
 
+        if (threshold is not None):
+            probs = (probs > threshold).astype(bool)
+
+        # Do these one at a time to prevent failures
+        for i, label in idx2label.items():
+            x.payload().set_data(label, probs[:, i])
+
+        # Return the same object
+        return x
+
+    @staticmethod
+    def process_multi_message(x: MultiResponseMessage,
+                              idx2label: typing.Dict[int, str],
+                              threshold: typing.Optional[float]):
         probs = x.get_probs_tensor()
 
         if (probs.shape[1] <= max(idx2label.keys())):
diff --git a/morpheus/stages/postprocess/filter_detections_stage.py b/morpheus/stages/postprocess/filter_detections_stage.py
index 261353732e..c071ffb333 100644
--- a/morpheus/stages/postprocess/filter_detections_stage.py
+++ b/morpheus/stages/postprocess/filter_detections_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/postprocess/generate_viz_frames_stage.py b/morpheus/stages/postprocess/generate_viz_frames_stage.py
index 77f40e061d..cf60d638b8 100644
--- a/morpheus/stages/postprocess/generate_viz_frames_stage.py
+++ b/morpheus/stages/postprocess/generate_viz_frames_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -235,7 +235,7 @@ async def run_server():
 
         return await super().start_async()
 
-    def stop(self):
+    async def join(self):
         """
         Stages can implement this to perform cleanup steps when pipeline is stopped.
         """
diff --git a/morpheus/stages/postprocess/ml_flow_drift_stage.py b/morpheus/stages/postprocess/ml_flow_drift_stage.py
index d8702e43e9..4e5974cf51 100644
--- a/morpheus/stages/postprocess/ml_flow_drift_stage.py
+++ b/morpheus/stages/postprocess/ml_flow_drift_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/stages/postprocess/serialize_stage.py b/morpheus/stages/postprocess/serialize_stage.py
index fd61dc101b..8262e1b4e1 100644
--- a/morpheus/stages/postprocess/serialize_stage.py
+++ b/morpheus/stages/postprocess/serialize_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import logging
 import typing
 from functools import partial
 
@@ -22,11 +23,14 @@
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
 from morpheus.controllers.serialize_controller import SerializeController
+from morpheus.messages import ControlMessage
 from morpheus.messages import MessageMeta
 from morpheus.messages import MultiMessage
 from morpheus.pipeline.single_port_stage import SinglePortStage
 from morpheus.pipeline.stage_schema import StageSchema
 
+logger = logging.getLogger(__name__)
+
 
 @register_stage("serialize")
 class SerializeStage(SinglePortStage):
@@ -73,11 +77,11 @@ def accepted_types(self) -> typing.Tuple:
 
         Returns
         -------
-        typing.Tuple(`morpheus.pipeline.messages.MultiMessage`, )
+        typing.Tuple(`morpheus.pipeline.messages.MultiMessage`, `morpheus.pipeline.messages.ControlMessage`)
             Accepted input types.
 
         """
-        return (MultiMessage, )
+        return (MultiMessage, ControlMessage)
 
     def compute_schema(self, schema: StageSchema):
         schema.output_schema.set_type(MessageMeta)
@@ -88,11 +92,18 @@ def supports_cpp_node(self):
 
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
         if (self._build_cpp_node()):
-            node = _stages.SerializeStage(builder,
-                                          self.unique_name,
-                                          self._controller.include_columns or [],
-                                          self._controller.exclude_columns,
-                                          self._controller.fixed_columns)
+            if (self._schema.input_type == ControlMessage):
+                node = _stages.SerializeControlMessageStage(builder,
+                                                            self.unique_name,
+                                                            self._controller.include_columns or [],
+                                                            self._controller.exclude_columns,
+                                                            self._controller.fixed_columns)
+            else:
+                node = _stages.SerializeMultiMessageStage(builder,
+                                                          self.unique_name,
+                                                          self._controller.include_columns or [],
+                                                          self._controller.exclude_columns,
+                                                          self._controller.fixed_columns)
         else:
             include_columns = self._controller.get_include_col_pattern()
             exclude_columns = self._controller.get_exclude_col_pattern()
diff --git a/morpheus/stages/postprocess/timeseries_stage.py b/morpheus/stages/postprocess/timeseries_stage.py
index da41d079cb..28c4b70f2c 100644
--- a/morpheus/stages/postprocess/timeseries_stage.py
+++ b/morpheus/stages/postprocess/timeseries_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/stages/postprocess/validation_stage.py b/morpheus/stages/postprocess/validation_stage.py
index 78be025944..1d62f18cab 100644
--- a/morpheus/stages/postprocess/validation_stage.py
+++ b/morpheus/stages/postprocess/validation_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/preprocess/__init__.py b/morpheus/stages/preprocess/__init__.py
index 39ea094ba1..252c67c18d 100644
--- a/morpheus/stages/preprocess/__init__.py
+++ b/morpheus/stages/preprocess/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/preprocess/deserialize_stage.py b/morpheus/stages/preprocess/deserialize_stage.py
index 650b01fb0e..10518f2887 100644
--- a/morpheus/stages/preprocess/deserialize_stage.py
+++ b/morpheus/stages/preprocess/deserialize_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,11 +15,8 @@
 
 import logging
 import typing
-import warnings
-from functools import partial
 
 import mrc
-from mrc.core import operators as ops
 
 import morpheus._lib.stages as _stages
 from morpheus.cli.register_stage import register_stage
@@ -28,6 +25,7 @@
 from morpheus.messages import ControlMessage
 from morpheus.messages import MessageMeta
 from morpheus.messages import MultiMessage
+from morpheus.modules.preprocess.deserialize import DeserializeLoaderFactory
 from morpheus.pipeline.multi_message_stage import MultiMessageStage
 from morpheus.pipeline.stage_schema import StageSchema
 
@@ -48,14 +46,25 @@ class DeserializeStage(MultiMessageStage):
     ----------
     c : `morpheus.config.Config`
         Pipeline configuration instance.
-
+    ensure_sliceable_index : bool, default = True
+        Whether or not to call `ensure_sliceable_index()` on all incoming `MessageMeta`, which will replace the index
+        of the underlying dataframe if the existing one is not unique and monotonic.
+    message_type : typing.Literal[MultiMessage, ControlMessage], default = MultiMessage
+        Sets the type of message to be emitted from this stage.
+    task_type : str, default = None
+        If specified, adds the specified task to the `ControlMessage`. This parameter is only valid when `message_type`
+        is set to `ControlMessage`. If not `None`, `task_payload` must also be specified.
+    task_payload : dict, default = None
+        If specified, adds the specified task to the `ControlMessage`. This parameter is only valid when `message_type`
+        is set to `ControlMessage`. If not `None`, `task_type` must also be specified.
     """
 
     def __init__(self,
                  c: Config,
                  *,
                  ensure_sliceable_index: bool = True,
-                 message_type: typing.Literal[MultiMessage, ControlMessage] = MultiMessage,
+                 message_type: typing.Union[typing.Literal[MultiMessage],
+                                            typing.Literal[ControlMessage]] = MultiMessage,
                  task_type: str = None,
                  task_payload: dict = None):
         super().__init__(c)
@@ -73,12 +82,23 @@ def __init__(self,
         self._task_payload = task_payload
 
         if (self._message_type == ControlMessage):
-
             if ((self._task_type is None) != (self._task_payload is None)):
                 raise ValueError("Both `task_type` and `task_payload` must be specified if either is specified.")
-        else:
+        elif (self._message_type == MultiMessage):
             if (self._task_type is not None or self._task_payload is not None):
                 raise ValueError("Cannot specify `task_type` or `task_payload` for non-control messages.")
+        else:
+            raise ValueError(f"Invalid message type: {self._message_type}")
+
+        self._module_config = {
+            "ensure_sliceable_index": self._ensure_sliceable_index,
+            "message_type": "MultiMessage" if self._message_type == MultiMessage else "ControlMessage",
+            "task_type": self._task_type,
+            "task_payload": self._task_payload,
+            "batch_size": self._batch_size,
+            "max_concurrency": self._max_concurrent,
+            "should_log_timestamp": self._should_log_timestamps
+        }
 
     @property
     def name(self) -> str:
@@ -93,143 +113,24 @@ def accepted_types(self) -> typing.Tuple:
 
     def supports_cpp_node(self):
         # Enable support by default
-        return True
+        return False
 
     def compute_schema(self, schema: StageSchema):
         schema.output_schema.set_type(self._message_type)
 
-    @staticmethod
-    def check_slicable_index(x: MessageMeta, ensure_sliceable_index: bool = True):
-        if (not x.has_sliceable_index()):
-            if (ensure_sliceable_index):
-                old_index_name = x.ensure_sliceable_index()
-
-                if (old_index_name):
-                    logger.warning(("Incoming MessageMeta does not have a unique and monotonic index. "
-                                    "Updating index to be unique. "
-                                    "Existing index will be retained in column '%s'"),
-                                   old_index_name)
-
-            else:
-                warnings.warn(
-                    "Detected a non-sliceable index on an incoming MessageMeta. "
-                    "Performance when taking slices of messages may be degraded. "
-                    "Consider setting `ensure_sliceable_index==True`",
-                    RuntimeWarning)
-
-        return x
-
-    @staticmethod
-    def process_dataframe_to_multi_message(x: MessageMeta, batch_size: int,
-                                           ensure_sliceable_index: bool) -> typing.List[MultiMessage]:
-        """
-        The deserialization of the cudf is implemented in this function.
-
-        Parameters
-        ----------
-        x : cudf.DataFrame
-            Input rows that needs to be deserilaized.
-        batch_size : int
-            Batch size.
-        ensure_sliceable_index : bool
-            Calls `MessageMeta.ensure_sliceable_index()` on incoming messages to ensure unique and monotonic indices.
-
-        """
-
-        x = DeserializeStage.check_slicable_index(x, ensure_sliceable_index)
-
-        full_message = MultiMessage(meta=x)
-
-        # Now break it up by batches
-        output = []
-
-        for i in range(0, full_message.mess_count, batch_size):
-            output.append(full_message.get_slice(i, min(i + batch_size, full_message.mess_count)))
-
-        return output
-
-    @staticmethod
-    def process_dataframe_to_control_message(x: MessageMeta,
-                                             batch_size: int,
-                                             ensure_sliceable_index: bool,
-                                             task_tuple: tuple[str, dict] | None) -> typing.List[ControlMessage]:
-        """
-        The deserialization of the cudf is implemented in this function.
-
-        Parameters
-        ----------
-        x : cudf.DataFrame
-            Input rows that needs to be deserilaized.
-        batch_size : int
-            Batch size.
-        ensure_sliceable_index : bool
-            Calls `MessageMeta.ensure_sliceable_index()` on incoming messages to ensure unique and monotonic indices.
-        task_tuple: typing.Tuple[str, dict] | None
-            If specified, adds the specified task to the ControlMessage. The first parameter is the task type and second
-            parameter is the task payload
-
-        """
-
-        # Because ControlMessages only have a C++ implementation, we need to import the C++ MessageMeta and use that
-        # 100% of the time
-        # pylint: disable=morpheus-incorrect-lib-from-import
-        from morpheus._lib.messages import MessageMeta as MessageMetaCpp
-
-        x = DeserializeStage.check_slicable_index(x, ensure_sliceable_index)
-
-        # Now break it up by batches
-        output = []
-
-        if (x.count > batch_size):
-            df = x.df
-
-            # Break the message meta into smaller chunks
-            for i in range(0, x.count, batch_size):
-
-                message = ControlMessage()
-
-                message.payload(MessageMetaCpp(df=df.iloc[i:i + batch_size]))
-
-                if (task_tuple is not None):
-                    message.add_task(task_type=task_tuple[0], task=task_tuple[1])
-
-                output.append(message)
-        else:
-            message = ControlMessage()
-
-            message.payload(MessageMetaCpp(x.df))
-
-            if (task_tuple is not None):
-                message.add_task(task_type=task_tuple[0], task=task_tuple[1])
-
-            output.append(message)
-
-        return output
-
     def _build_single(self, builder: mrc.Builder, input_node: mrc.SegmentObject) -> mrc.SegmentObject:
-
-        if self._build_cpp_node():
-            node = _stages.DeserializeStage(builder, self.unique_name, self._batch_size)
+        if (self.supports_cpp_node()):
+            out_node = _stages.DeserializeStage(builder, self.unique_name, self._batch_size)
+            builder.make_edge(input_node, out_node)
         else:
+            module_loader = DeserializeLoaderFactory.get_instance(module_name=f"deserialize_{self.unique_name}",
+                                                                  module_config=self._module_config)
 
-            if (self._message_type == MultiMessage):
-                map_func = partial(DeserializeStage.process_dataframe_to_multi_message,
-                                   batch_size=self._batch_size,
-                                   ensure_sliceable_index=self._ensure_sliceable_index)
-            else:
-
-                if (self._task_type is not None and self._task_payload is not None):
-                    task_tuple = (self._task_type, self._task_payload)
-                else:
-                    task_tuple = None
-
-                map_func = partial(DeserializeStage.process_dataframe_to_control_message,
-                                   batch_size=self._batch_size,
-                                   ensure_sliceable_index=self._ensure_sliceable_index,
-                                   task_tuple=task_tuple)
+            module = module_loader.load(builder=builder)
 
-            node = builder.make_node(self.unique_name, ops.map(map_func), ops.flatten())
+            mod_in_node = module.input_port("input")
+            out_node = module.output_port("output")
 
-        builder.make_edge(input_node, node)
+            builder.make_edge(input_node, mod_in_node)
 
-        return node
+        return out_node
diff --git a/morpheus/stages/preprocess/drop_null_stage.py b/morpheus/stages/preprocess/drop_null_stage.py
index 0f0e175d3a..697cce089a 100644
--- a/morpheus/stages/preprocess/drop_null_stage.py
+++ b/morpheus/stages/preprocess/drop_null_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/stages/preprocess/preprocess_ae_stage.py b/morpheus/stages/preprocess/preprocess_ae_stage.py
index 7fe3cd5a58..e96a527630 100644
--- a/morpheus/stages/preprocess/preprocess_ae_stage.py
+++ b/morpheus/stages/preprocess/preprocess_ae_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -91,22 +91,22 @@ def pre_process_batch(x: MultiAEMessage, fea_len: int,
         scores_std = x.train_scores_std
         count = len(meta_df.index)
         mess_count = count
-        input = cp.zeros(meta_df.shape, dtype=cp.float32)
+        inputs = cp.zeros(meta_df.shape, dtype=cp.float32)
 
         memory = None
 
         if autoencoder is not None:
             data = autoencoder.prepare_df(meta_df)
-            input = autoencoder.build_input_tensor(data)
-            input = cp.asarray(input.detach())
-            count = input.shape[0]
+            inputs = autoencoder.build_input_tensor(data)
+            inputs = cp.asarray(inputs.detach())
+            count = inputs.shape[0]
             mess_count = x.mess_count
 
         seg_ids = cp.zeros((count, 3), dtype=cp.uint32)
         seg_ids[:, 0] = cp.arange(x.mess_offset, x.mess_offset + count, dtype=cp.uint32)
         seg_ids[:, 2] = fea_len - 1
 
-        memory = InferenceMemoryAE(count=count, input=input, seq_ids=seg_ids)
+        memory = InferenceMemoryAE(count=count, inputs=inputs, seq_ids=seg_ids)
 
         infer_message = MultiInferenceAEMessage.from_message(x,
                                                              mess_count=mess_count,
diff --git a/morpheus/stages/preprocess/preprocess_base_stage.py b/morpheus/stages/preprocess/preprocess_base_stage.py
index e4ac01deeb..3731912026 100644
--- a/morpheus/stages/preprocess/preprocess_base_stage.py
+++ b/morpheus/stages/preprocess/preprocess_base_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -21,6 +21,7 @@
 from mrc.core import operators as ops
 
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.messages import MultiInferenceMessage
 from morpheus.messages import MultiMessage
 from morpheus.pipeline.multi_message_stage import MultiMessageStage
@@ -43,20 +44,28 @@ def __init__(self, c: Config):
 
         self._preprocess_fn = None
         self._should_log_timestamps = True
+        self._use_control_message = False
 
     def accepted_types(self) -> typing.Tuple:
         """
         Returns accepted input types for this stage.
 
         """
-        return (MultiMessage, )
+        return (
+            MultiMessage,
+            ControlMessage,
+        )
 
     def compute_schema(self, schema: StageSchema):
         out_type = MultiInferenceMessage
+        if (schema.input_type == ControlMessage):
+            self._use_control_message = True
+            out_type = ControlMessage
+        else:
+            self._use_control_message = False
 
         self._preprocess_fn = self._get_preprocess_fn()
         preproc_sig = inspect.signature(self._preprocess_fn)
-
         # If the innerfunction returns a type annotation, update the output type
         if (preproc_sig.return_annotation
                 and typing_utils.issubtype(preproc_sig.return_annotation, MultiInferenceMessage)):
diff --git a/morpheus/stages/preprocess/preprocess_fil_stage.py b/morpheus/stages/preprocess/preprocess_fil_stage.py
index c7ff010d7d..45b1640d72 100644
--- a/morpheus/stages/preprocess/preprocess_fil_stage.py
+++ b/morpheus/stages/preprocess/preprocess_fil_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -27,10 +27,12 @@
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
 from morpheus.config import PipelineModes
+from morpheus.messages import ControlMessage
 from morpheus.messages import InferenceMemoryFIL
 from morpheus.messages import MultiInferenceFILMessage
 from morpheus.messages import MultiInferenceMessage
 from morpheus.messages import MultiMessage
+from morpheus.messages import TensorMemory as CppTensorMemory
 from morpheus.stages.preprocess.preprocess_base_stage import PreprocessBaseStage
 
 logger = logging.getLogger(__name__)
@@ -84,12 +86,53 @@ def pre_process_batch(x: MultiMessage, fea_len: int, fea_cols: typing.List[str])
             FIL inference message.
 
         """
+        if isinstance(x, ControlMessage):
+            return PreprocessFILStage.process_control_message(x, fea_len, fea_cols)
+        if isinstance(x, MultiMessage):
+            return PreprocessFILStage.process_multi_message(x, fea_len, fea_cols)
+        raise TypeError(f"Unsupported message type: {type(x)}")
+
+    @staticmethod
+    def process_control_message(x: ControlMessage, fea_len: int, fea_cols: typing.List[str]) -> ControlMessage:
 
+        try:
+            df: cudf.DataFrame = x.payload().get_data(fea_cols)
+        except KeyError:
+            logger.exception("Requested feature columns does not exist in the dataframe.", exc_info=True)
+            raise
+
+        # Extract just the numbers from each feature col. Not great to operate on x.meta.df here but the operations will
+        # only happen once.
+        for col in fea_cols:
+            if (df[col].dtype == np.dtype(str) or df[col].dtype == np.dtype(object)):
+                # If the column is a string, parse the number
+                df[col] = df[col].str.extract(r"(\d+)", expand=False).astype("float32")
+            elif (df[col].dtype != np.float32):
+                # Convert to float32
+                df[col] = df[col].astype("float32")
+
+        if (isinstance(df, pd.DataFrame)):
+            df = cudf.from_pandas(df)
+
+        # Convert the dataframe to cupy the same way cuml does
+        data = cp.asarray(df.to_cupy())
+
+        count = data.shape[0]
+
+        seg_ids = cp.zeros((count, 3), dtype=cp.uint32)
+        seg_ids[:, 0] = cp.arange(0, count, dtype=cp.uint32)
+        seg_ids[:, 2] = fea_len - 1
+
+        x.tensors(CppTensorMemory(count=count, tensors={"input__0": data, "seq_ids": seg_ids}))
+        return x
+
+    @staticmethod
+    def process_multi_message(x: MultiMessage, fea_len: int, fea_cols: typing.List[str]) -> MultiInferenceFILMessage:
         try:
             df = x.get_meta(fea_cols)
         except KeyError:
-            logger.exception("Cound not get metadat for columns.")
-            return None
+            logger.exception("Requested feature columns does not exist in the dataframe.", exc_info=True)
+            raise
 
         # Extract just the numbers from each feature col. Not great to operate on x.meta.df here but the operations will
         # only happen once.
@@ -120,8 +163,14 @@ def pre_process_batch(x: MultiMessage, fea_len: int, fea_cols: typing.List[str])
 
         return infer_message
 
-    def _get_preprocess_fn(self) -> typing.Callable[[MultiMessage], MultiInferenceMessage]:
+    def _get_preprocess_fn(
+        self
+    ) -> typing.Callable[[typing.Union[MultiMessage, ControlMessage]],
+                         typing.Union[MultiInferenceMessage, ControlMessage]]:
         return partial(PreprocessFILStage.pre_process_batch, fea_len=self._fea_length, fea_cols=self.features)
 
     def _get_preprocess_node(self, builder: mrc.Builder):
-        return _stages.PreprocessFILStage(builder, self.unique_name, self.features)
+        if (self._use_control_message):
+            return _stages.PreprocessFILControlMessageStage(builder, self.unique_name, self.features)
+
+        return _stages.PreprocessFILMultiMessageStage(builder, self.unique_name, self.features)
diff --git a/morpheus/stages/preprocess/preprocess_nlp_stage.py b/morpheus/stages/preprocess/preprocess_nlp_stage.py
index a06ee5a30c..feace923dc 100644
--- a/morpheus/stages/preprocess/preprocess_nlp_stage.py
+++ b/morpheus/stages/preprocess/preprocess_nlp_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,10 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import base64
+import json
+import logging
 import typing
 from functools import partial
 
+import cupy as cp
 import mrc
+import numpy as np
 
 import cudf
 
@@ -25,13 +30,47 @@
 from morpheus.cli.utils import get_package_relative_file
 from morpheus.config import Config
 from morpheus.config import PipelineModes
+from morpheus.messages import ControlMessage
 from morpheus.messages import InferenceMemoryNLP
 from morpheus.messages import MultiInferenceMessage
 from morpheus.messages import MultiInferenceNLPMessage
 from morpheus.messages import MultiMessage
+from morpheus.messages import TensorMemory as CppTensorMemory
 from morpheus.stages.preprocess.preprocess_base_stage import PreprocessBaseStage
 from morpheus.utils.cudf_subword_helper import tokenize_text_series
 
+logger = logging.getLogger(__name__)
+
+
+def cupyarray_to_base64(cupy_array):
+    array_bytes = cupy_array.get().tobytes()
+    array_shape = cupy_array.shape
+    array_dtype = str(cupy_array.dtype)
+
+    # Create a dictionary to store bytes, shape, and dtype
+    encoded_dict = {'bytes': base64.b64encode(array_bytes).decode("utf-8"), 'shape': array_shape, 'dtype': array_dtype}
+
+    # Convert dictionary to JSON string for storage
+    return json.dumps(encoded_dict)
+
+
+def base64_to_cupyarray(base64_str):
+    # Convert JSON string back to dictionary
+    encoded_dict = json.loads(base64_str)
+
+    # Extract bytes, shape, and dtype
+    array_bytes = base64.b64decode(encoded_dict['bytes'])
+    array_shape = tuple(encoded_dict['shape'])
+    array_dtype = encoded_dict['dtype']
+
+    # Convert bytes back to a NumPy array and reshape
+    np_array = np.frombuffer(array_bytes, dtype=array_dtype).reshape(array_shape)
+
+    # Convert NumPy array to CuPy array
+    cp_array = cp.array(np_array)
+
+    return cp_array
+
 
 @register_stage(
     "preprocess",
@@ -57,7 +96,7 @@ class PreprocessNLPStage(PreprocessBaseStage):
     do_lower_case : bool
         If set to true, original text will be lowercased before encoding.
     add_special_tokens : bool
-        Whether or not to encode the sequences with the special tokens of the BERT classification model.
+        Whether to encode the sequences with the special tokens of the BERT classification model.
     stride : int
         If `truncation` == False and the tokenized string is larger than max_length, the sequences containing the
         overflowing token-ids can contain duplicated token-ids from the main sequence. If max_length is equal to stride
@@ -102,43 +141,18 @@ def supports_cpp_node(self):
         return True
 
     @staticmethod
-    def pre_process_batch(x: MultiMessage,
+    def pre_process_batch(message: typing.Union[MultiMessage, ControlMessage],
                           vocab_hash_file: str,
                           do_lower_case: bool,
                           seq_len: int,
                           stride: int,
                           truncation: bool,
                           add_special_tokens: bool,
-                          column: str) -> MultiInferenceNLPMessage:
+                          column: str) -> typing.Union[MultiInferenceNLPMessage, ControlMessage]:
         """
-        For NLP category usecases, this function performs pre-processing.
-
-        Parameters
-        ----------
-        x : `morpheus.pipeline.messages.MultiMessage`
-            Input rows received from Deserialized stage.
-        vocab_hash_file : str
-            Path to hash file containing vocabulary of words with token-ids. This can be created from the raw vocabulary
-            using the `cudf.utils.hash_vocab_utils.hash_vocab` function.
-        do_lower_case : bool
-            If set to true, original text will be lowercased before encoding.
-        seq_len : int
-            Limits the length of the sequence returned. If tokenized string is shorter than max_length, output will be
-            padded with 0s. If the tokenized string is longer than max_length and do_truncate == False, there will be
-            multiple returned sequences containing the overflowing token-ids.
-        stride : int
-            If do_truncate == False and the tokenized string is larger than max_length, the sequences containing the
-            overflowing token-ids can contain duplicated token-ids from the main sequence. If max_length is equal to
-            stride there are no duplicated-id tokens. If stride is 80% of max_length, 20% of the first sequence will be
-            repeated on the second sequence and so on until the entire sentence is encoded.
-        truncation : bool
-            If set to true, strings will be truncated and padded to max_length. Each input string will result in exactly
-            one output sequence. If set to false, there may be multiple output sequences when the max_length is smaller
-            than generated tokens.
-        add_special_tokens : bool
-            Whether or not to encode the sequences with the special tokens of the BERT classification model.
-        column : str
-            Name of the column containing the data that needs to be preprocessed.
+        For NLP category use cases, this function performs pre-processing.
+
+        [parameters are the same as the original function]
 
         Returns
         -------
@@ -146,7 +160,72 @@ def pre_process_batch(x: MultiMessage,
             NLP inference message.
 
         """
-        text_ser = cudf.Series(x.get_meta(column))
+        if isinstance(message, ControlMessage):
+            return PreprocessNLPStage.process_control_message(message,
+                                                              vocab_hash_file,
+                                                              do_lower_case,
+                                                              seq_len,
+                                                              stride,
+                                                              truncation,
+                                                              add_special_tokens,
+                                                              column)
+        if isinstance(message, MultiMessage):
+            return PreprocessNLPStage.process_multi_message(message,
+                                                            vocab_hash_file,
+                                                            do_lower_case,
+                                                            seq_len,
+                                                            stride,
+                                                            truncation,
+                                                            add_special_tokens,
+                                                            column)
+
+        raise TypeError("Unsupported message type")
+
+    @staticmethod
+    def process_control_message(message: ControlMessage,
+                                vocab_hash_file: str,
+                                do_lower_case: bool,
+                                seq_len: int,
+                                stride: int,
+                                truncation: bool,
+                                add_special_tokens: bool,
+                                column: str) -> ControlMessage:
+
+        with message.payload().mutable_dataframe() as mdf:
+            text_series = cudf.Series(mdf[column])
+
+        tokenized = tokenize_text_series(vocab_hash_file=vocab_hash_file,
+                                         do_lower_case=do_lower_case,
+                                         text_ser=text_series,
+                                         seq_len=seq_len,
+                                         stride=stride,
+                                         truncation=truncation,
+                                         add_special_tokens=add_special_tokens)
+
+        del text_series
+
+        message.tensors(
+            CppTensorMemory(count=tokenized.input_ids.shape[0],
+                            tensors={
+                                "input_ids": tokenized.input_ids,
+                                "input_mask": tokenized.input_mask,
+                                "seq_ids": tokenized.segment_ids
+                            }))
+
+        message.set_metadata("inference_memory_params", {"inference_type": "nlp"})
+        return message
+
+    @staticmethod
+    def process_multi_message(message: MultiMessage,
+                              vocab_hash_file: str,
+                              do_lower_case: bool,
+                              seq_len: int,
+                              stride: int,
+                              truncation: bool,
+                              add_special_tokens: bool,
+                              column: str) -> MultiInferenceNLPMessage:
+        # Existing logic for MultiMessage
+        text_ser = cudf.Series(message.get_meta(column))
 
         tokenized = tokenize_text_series(vocab_hash_file=vocab_hash_file,
                                          do_lower_case=do_lower_case,
@@ -158,20 +237,21 @@ def pre_process_batch(x: MultiMessage,
         del text_ser
 
         seg_ids = tokenized.segment_ids
-        seg_ids[:, 0] = seg_ids[:, 0] + x.mess_offset
+        seg_ids[:, 0] = seg_ids[:, 0] + message.mess_offset
 
-        # Create the inference memory. Keep in mind count here could be > than input count
         memory = InferenceMemoryNLP(count=tokenized.input_ids.shape[0],
                                     input_ids=tokenized.input_ids,
                                     input_mask=tokenized.input_mask,
                                     seq_ids=seg_ids)
 
-        infer_message = MultiInferenceNLPMessage.from_message(x, memory=memory)
+        infer_message = MultiInferenceNLPMessage.from_message(message, memory=memory)
 
         return infer_message
 
-    def _get_preprocess_fn(self) -> typing.Callable[[MultiMessage], MultiInferenceMessage]:
-
+    def _get_preprocess_fn(
+        self
+    ) -> typing.Callable[[typing.Union[MultiMessage, ControlMessage]],
+                         typing.Union[MultiInferenceMessage, ControlMessage]]:
         return partial(PreprocessNLPStage.pre_process_batch,
                        vocab_hash_file=self._vocab_hash_file,
                        do_lower_case=self._do_lower_case,
@@ -182,12 +262,23 @@ def _get_preprocess_fn(self) -> typing.Callable[[MultiMessage], MultiInferenceMe
                        column=self._column)
 
     def _get_preprocess_node(self, builder: mrc.Builder):
-        return _stages.PreprocessNLPStage(builder,
-                                          self.unique_name,
-                                          self._vocab_hash_file,
-                                          self._seq_length,
-                                          self._truncation,
-                                          self._do_lower_case,
-                                          self._add_special_tokens,
-                                          self._stride,
-                                          self._column)
+        if (self._use_control_message):
+            return _stages.PreprocessNLPControlMessageStage(builder,
+                                                            self.unique_name,
+                                                            self._vocab_hash_file,
+                                                            self._seq_length,
+                                                            self._truncation,
+                                                            self._do_lower_case,
+                                                            self._add_special_tokens,
+                                                            self._stride,
+                                                            self._column)
+
+        return _stages.PreprocessNLPMultiMessageStage(builder,
+                                                      self.unique_name,
+                                                      self._vocab_hash_file,
+                                                      self._seq_length,
+                                                      self._truncation,
+                                                      self._do_lower_case,
+                                                      self._add_special_tokens,
+                                                      self._stride,
+                                                      self._column)
diff --git a/morpheus/stages/preprocess/train_ae_stage.py b/morpheus/stages/preprocess/train_ae_stage.py
index 9f66c16123..d757a086bd 100644
--- a/morpheus/stages/preprocess/train_ae_stage.py
+++ b/morpheus/stages/preprocess/train_ae_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/__init__.py b/morpheus/utils/__init__.py
index f6b11cdc87..d071c5b9c1 100644
--- a/morpheus/utils/__init__.py
+++ b/morpheus/utils/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/atomic_integer.py b/morpheus/utils/atomic_integer.py
index 30b23e7d96..4a8d9827c5 100644
--- a/morpheus/utils/atomic_integer.py
+++ b/morpheus/utils/atomic_integer.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -29,13 +29,13 @@ def __init__(self, value=0):
         self._value = int(value)
         self._lock = threading.Lock()
 
-    def inc(self, d=1):
+    def inc(self, inc_val=1):
         """
         Increments and returns new value.
 
         Parameters
         ----------
-        d : int, optional
+        inc_val : int, optional
             Value to increment by, default 1.
 
         Returns
@@ -44,16 +44,16 @@ def inc(self, d=1):
             Incremented value.
         """
         with self._lock:
-            self._value += int(d)
+            self._value += int(inc_val)
             return self._value
 
-    def dec(self, d=1):
+    def dec(self, dec_val=1):
         """
         Decrements and returns new value.
 
         Parameters
         ----------
-        d : int, optional
+        dec_val : int, optional
             Value to decrement by, default 1.
 
         Returns
@@ -61,15 +61,15 @@ def dec(self, d=1):
         int
             Decremented value.
         """
-        return self.inc(-d)
+        return self.inc(-dec_val)
 
-    def get_and_inc(self, d=1):
+    def get_and_inc(self, inc_val=1):
         """
         Gets the current value, returns it, and increments. Different from `inc()` which increments, then returns.
 
         Parameters
         ----------
-        d : int, optional
+        inc_val : int, optional
             How much to increment, by default 1.
 
         Returns
@@ -79,7 +79,7 @@ def get_and_inc(self, d=1):
         """
         with self._lock:
             tmp_val = self._value
-            self._value += int(d)
+            self._value += int(inc_val)
             return tmp_val
 
     @property
@@ -96,13 +96,13 @@ def value(self):
             return self._value
 
     @value.setter
-    def value(self, v):
+    def value(self, val):
         """
         Set value.
 
         Parameters
         ----------
-        v : int
+        val : int
             Set to this value.
 
         Returns
@@ -111,5 +111,5 @@ def value(self, v):
             New value.
         """
         with self._lock:
-            self._value = int(v)
+            self._value = int(val)
             return self._value
diff --git a/morpheus/utils/column_info.py b/morpheus/utils/column_info.py
index 80f7e69694..f05d3cbe5b 100644
--- a/morpheus/utils/column_info.py
+++ b/morpheus/utils/column_info.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,10 +17,15 @@
 import logging
 import re
 import typing
+import warnings
 from datetime import datetime
 from functools import partial
 
-import nvtabular as nvt
+with warnings.catch_warnings():
+    # Ignore warning regarding tensorflow not being installed
+    warnings.filterwarnings("ignore", message=".*No module named 'tensorflow'", category=UserWarning)
+    import nvtabular as nvt
+
 import pandas as pd
 
 import cudf
@@ -49,7 +54,7 @@ def process_dataframe(df_in: typing.Union[pd.DataFrame, cudf.DataFrame], input_s
 
     """
 
-    from morpheus.utils import schema_transforms
+    from morpheus.utils import schema_transforms  # pylint: disable=cyclic-import
     return schema_transforms.process_dataframe(df_in, input_schema)
 
 
@@ -382,7 +387,14 @@ def _process_column(self, df: pd.DataFrame) -> pd.Series:
             The processed column as a datetime Series.
         """
 
-        return pd.to_datetime(df[self.input_name], infer_datetime_format=True, utc=True).astype(self.get_pandas_dtype())
+        dt_series = pd.to_datetime(df[self.input_name], infer_datetime_format=True, utc=True)
+
+        dtype = self.get_pandas_dtype()
+        if dtype == 'datetime64[ns]':
+            # avoid deprecation warning about using .astype to convert from a tz-aware type to a tz-naive type
+            return dt_series.dt.tz_localize(None)
+
+        return dt_series.astype(dtype)
 
 
 @dataclasses.dataclass
diff --git a/morpheus/utils/compare_df.py b/morpheus/utils/compare_df.py
index 95576997a3..605b515edf 100755
--- a/morpheus/utils/compare_df.py
+++ b/morpheus/utils/compare_df.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -52,7 +52,7 @@ def filter_df(df: pd.DataFrame,
     """
 
     if (include_columns is not None and len(include_columns) > 0):
-        include_columns = re.compile("({})".format("|".join(include_columns)))
+        include_columns = re.compile(f"({'|'.join(include_columns)})")
 
     if exclude_columns is not None:
         exclude_columns = [re.compile(x) for x in exclude_columns]
diff --git a/morpheus/utils/concat_df.py b/morpheus/utils/concat_df.py
index 363437a5f3..8b25f3f08c 100644
--- a/morpheus/utils/concat_df.py
+++ b/morpheus/utils/concat_df.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/control_message_utils.py b/morpheus/utils/control_message_utils.py
index a600e3ec97..0e778081d0 100644
--- a/morpheus/utils/control_message_utils.py
+++ b/morpheus/utils/control_message_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/cudf_subword_helper.py b/morpheus/utils/cudf_subword_helper.py
index 13d66535c1..550100a054 100644
--- a/morpheus/utils/cudf_subword_helper.py
+++ b/morpheus/utils/cudf_subword_helper.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -93,7 +93,7 @@ def get_cached_tokenizer(vocab_hash_file: str, do_lower_case: bool):
 
     cached_tokenizers = getattr(_tl, "cached_tokenizers", None)
 
-    # Set the initial dictionary if its not set
+    # Set the initial dictionary if it's not set
     if (cached_tokenizers is None):
         cached_tokenizers = {}
         _tl.cached_tokenizers = cached_tokenizers
diff --git a/morpheus/utils/directory_watcher.py b/morpheus/utils/directory_watcher.py
index c74afb2d9c..3fe6274b44 100644
--- a/morpheus/utils/directory_watcher.py
+++ b/morpheus/utils/directory_watcher.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -104,21 +104,21 @@ def _get_filename_queue(self) -> FiberQueue:
         event (and we should wait for potentially more changes) or if these files were read on startup and should be
         processed immediately.
         """
-        q = FiberQueue(self._queue_max_size)
+        f_queue = FiberQueue(self._queue_max_size)
 
         if (self._watch_directory):
 
             # Create a file watcher
             self._watcher = Observer()
-            self._watcher.setDaemon(True)
-            self._watcher.setName("DirectoryWatcher")
+            self._watcher.daemon = True
+            self._watcher.name = "DirectoryWatcher"
 
             event_handler = PatternMatchingEventHandler(patterns=[self._match_pattern])
 
             def process_dir_change(event: FileSystemEvent):
 
                 # Push files into the queue indicating this is an event
-                q.put(([event.src_path], True))
+                f_queue.put(([event.src_path], True))
 
             event_handler.on_created = process_dir_change
 
@@ -137,13 +137,13 @@ def process_dir_change(event: FileSystemEvent):
         logger.info("Found %d files in glob. Loading...", len(file_list))
 
         # Push all to the queue and close it
-        q.put((file_list, False))
+        f_queue.put((file_list, False))
 
         if (not self._watch_directory):
             # Close the queue
-            q.close()
+            f_queue.close()
 
-        return q
+        return f_queue
 
     def _generate_via_polling(self):
 
@@ -205,7 +205,7 @@ def _generate_via_watcher(self):
         while True:
 
             try:
-                files, is_event = file_queue.get(timeout=self._batch_timeout)
+                files, is_event = file_queue.get(timeout=self._batch_timeout)  # pylint: disable=unpacking-non-sequence
 
                 if (is_event):
                     # We may be getting files one at a time from the folder watcher, wait a bit
diff --git a/morpheus/utils/downloader.py b/morpheus/utils/downloader.py
index d2882afa93..0a68ae6e14 100644
--- a/morpheus/utils/downloader.py
+++ b/morpheus/utils/downloader.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -21,6 +21,7 @@
 import os
 import threading
 import typing
+import warnings
 from enum import Enum
 
 import fsspec
@@ -131,7 +132,13 @@ def get_dask_client(self):
         dask.config.set({"distributed.client.heartbeat": self._dask_heartbeat_interval})
 
         if (self._merlin_distributed is None):
-            self._merlin_distributed = Distributed(client=dask.distributed.Client(self.get_dask_cluster()))
+            with warnings.catch_warnings():
+                # Merlin.Distributed will warn if a client already exists, the client in question is the one created
+                # and are explicitly passing to it in the constructor.
+                warnings.filterwarnings("ignore",
+                                        message="Existing Dask-client object detected in the current context.*",
+                                        category=UserWarning)
+                self._merlin_distributed = Distributed(client=dask.distributed.Client(self.get_dask_cluster()))
 
         return self._merlin_distributed
 
diff --git a/morpheus/utils/execution_chain.py b/morpheus/utils/execution_chain.py
index 83a826e6ed..386f2fa27a 100644
--- a/morpheus/utils/execution_chain.py
+++ b/morpheus/utils/execution_chain.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/file_utils.py b/morpheus/utils/file_utils.py
index 4b0191939e..1a8b62e8f1 100644
--- a/morpheus/utils/file_utils.py
+++ b/morpheus/utils/file_utils.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/utils/http_utils.py b/morpheus/utils/http_utils.py
index 83f996bc0f..9ecb17b538 100644
--- a/morpheus/utils/http_utils.py
+++ b/morpheus/utils/http_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -133,16 +133,16 @@ def request_with_retry(
                 raise e
 
             if retry_after_header is not None:
-                sleep_time_ = retry_after_header
+                actual_sleep_time = retry_after_header
             else:
-                sleep_time_ = (2**(try_count - 1)) * sleep_time
+                actual_sleep_time = (2**(try_count - 1)) * sleep_time
 
             logger.error("Error occurred performing %s request to %s: %s",
                          request_kwargs['method'],
                          request_kwargs['url'],
                          e)
-            logger.debug("Sleeping for %s seconds before retrying request again", sleep_time)
-            time.sleep(sleep_time_)
+            logger.debug("Sleeping for %s seconds before retrying request again", actual_sleep_time)
+            time.sleep(actual_sleep_time)
 
 
 def prepare_url(url: str) -> str:
diff --git a/morpheus/utils/loader_ids.py b/morpheus/utils/loader_ids.py
index a878bf31e7..3bae221014 100644
--- a/morpheus/utils/loader_ids.py
+++ b/morpheus/utils/loader_ids.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/loader_utils.py b/morpheus/utils/loader_utils.py
index 093b3cb2ff..f2b5322531 100644
--- a/morpheus/utils/loader_utils.py
+++ b/morpheus/utils/loader_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/logger.py b/morpheus/utils/logger.py
index a0235ee6c6..693e6574b7 100644
--- a/morpheus/utils/logger.py
+++ b/morpheus/utils/logger.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -81,7 +81,7 @@ def _configure_from_log_file(log_config_file: str):
 
     ext = os.path.splitext(log_config_file)[1].lower()
 
-    if (ext == "json"):
+    if (ext == ".json"):
 
         dict_config: dict = None
 
@@ -95,13 +95,14 @@ def _configure_from_log_file(log_config_file: str):
         logging.config.fileConfig(log_config_file)
 
 
-def _configure_from_log_level(log_level: int):
+def _configure_from_log_level(*extra_handlers: logging.Handler, log_level: int):
     """
     Default config with only option being the logging level. Outputs to both the console and a file. Sets up a logging
     producer/consumer that works well in multi-thread/process environments.
 
     Parameters
     ----------
+    *extra_handlers: List of additional handlers which will handle entries placed on the queue
     log_level : int
         Log level and above to report
     """
@@ -143,6 +144,7 @@ def _configure_from_log_level(log_level: int):
     queue_listener = logging.handlers.QueueListener(morpheus_logging_queue,
                                                     console_handler,
                                                     file_handler,
+                                                    *extra_handlers,
                                                     respect_handler_level=True)
     queue_listener.start()
     queue_listener._thread.name = "Logging Thread"
@@ -155,7 +157,7 @@ def stop_queue_listener():
     atexit.register(stop_queue_listener)
 
 
-def configure_logging(log_level: int, log_config_file: str = None):
+def configure_logging(*extra_handlers: logging.Handler, log_level: int = None, log_config_file: str = None):
     """
     Configures Morpheus logging in one of two ways. Either specifying a logging config file to load or a logging level
     which will use a default configuration. The default configuration outputs to both the console and a file. Sets up a
@@ -163,6 +165,7 @@ def configure_logging(log_level: int, log_config_file: str = None):
 
     Parameters
     ----------
+    *extra_handlers: List of handlers to add to existing default console and file handlers.
     log_level: int
         Specifies the log level and above to output. Must be one of the available levels in the `logging` module.
     log_config_file: str, optional (default = None):
@@ -180,7 +183,8 @@ def configure_logging(log_level: int, log_config_file: str = None):
         # Configure using log file
         _configure_from_log_file(log_config_file=log_config_file)
     else:
-        _configure_from_log_level(log_level=log_level)
+        assert log_level is not None, "log_level must be specified"
+        _configure_from_log_level(*extra_handlers, log_level=log_level)
 
 
 def set_log_level(log_level: int):
@@ -211,12 +215,12 @@ def set_log_level(log_level: int):
     return old_level
 
 
-def deprecated_stage_warning(logger, cls, name):
+def deprecated_stage_warning(logger, cls, name, reason: str = None):
     """Log a warning about a deprecated stage."""
-    logger.warning(("The '%s' stage ('%s') is no longer required to manage backpressure and has been deprecated. "
-                    "It has no effect and acts as a pass through stage."),
-                   cls.__name__,
-                   name)
+    message = f"The '{cls.__name__}' stage ('{name}') has been deprecated and will be removed in a future version."
+    if reason is not None:
+        message = " ".join((message, reason))
+    logger.warning(message)
 
 
 def deprecated_message_warning(logger, cls, new_cls):
diff --git a/morpheus/utils/logging_timer.py b/morpheus/utils/logging_timer.py
index 4be1f3a31d..f2807a013a 100644
--- a/morpheus/utils/logging_timer.py
+++ b/morpheus/utils/logging_timer.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/module_ids.py b/morpheus/utils/module_ids.py
index 2626859871..3b9abdd9c6 100644
--- a/morpheus/utils/module_ids.py
+++ b/morpheus/utils/module_ids.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -27,3 +27,4 @@
 FILTER_CM_FAILED = "FilterCmFailed"
 PAYLOAD_BATCHER = "PayloadBatcher"
 WRITE_TO_ELASTICSEARCH = "WriteToElasticsearch"
+WRITE_TO_VECTOR_DB = "WriteToVectorDB"
diff --git a/morpheus/utils/module_utils.py b/morpheus/utils/module_utils.py
index 419be997e0..f1aca63334 100644
--- a/morpheus/utils/module_utils.py
+++ b/morpheus/utils/module_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,9 +17,12 @@
 import logging
 import re
 import typing
+from typing import Optional
+from typing import Type
 
 import mrc
 import pandas as pd
+from pydantic import BaseModel
 
 import cudf
 
@@ -305,3 +308,125 @@ def module_init(builder: mrc.Builder):
         # Register input and output port for a module.
         builder.register_module_input("input", head_module.input_port("input"))
         builder.register_module_output("output", prev_module.output_port("output"))
+
+
+class ModuleLoader:
+    """
+    Class to hold the definition of a module.
+
+    Attributes
+    ----------
+    module_instance : ModuleLoader
+        The instance of the loaded module.
+    name : str
+        The name of the module.
+    config : dict
+        The configuration dictionary for the module.
+    """
+
+    def __init__(self, module_interface, name, config):
+        self._module_interface = module_interface
+        self._name = name
+        self._config = config
+        self._loaded = False
+
+    @property
+    def name(self):
+        return self._name
+
+    @property
+    def config(self):
+        return self._config
+
+    def load(self, builder: mrc.Builder):
+        """
+        Loads the module instance.
+
+        Parameters
+        ----------
+        builder : mrc.Builder
+            The Morpheus builder instance.
+        """
+
+        if (self._loaded):
+            err_msg = f"Module '{self._module_interface.identity}::{self.name}' is already loaded."
+            logger.error(err_msg)
+
+            raise RuntimeError(err_msg)
+
+        module = builder.load_module(self._module_interface.identity,
+                                     self._module_interface.namespace,
+                                     self._name,
+                                     self._config)
+
+        logger.debug("Module '%s' with namespace '%s' is successfully loaded.",
+                     self._module_interface.identity,
+                     self._module_interface.namespace)
+
+        self._loaded = True
+
+        return module
+
+
+class ModuleLoaderFactory:
+    """
+    Class that acts as a simple wrapper to load a SegmentModule.
+
+    Attributes
+    ----------
+    _id : str
+        The module identifier.
+    _namespace : str
+        The namespace of the module.
+    _config_schema : Type[BaseModel], optional
+        The Pydantic model representing the parameter contract for the module.
+    """
+
+    def __init__(self, module_id, module_namespace, config_schema: Optional[Type[BaseModel]] = None):
+        self._id = module_id
+        self._namespace = module_namespace
+        self._config_schema = config_schema
+
+    @property
+    def identity(self):
+        return self._id
+
+    @property
+    def namespace(self):
+        return self._namespace
+
+    def get_instance(self, module_name: str, module_config: dict) -> ModuleLoader:
+        """
+        Loads a module instance and returns its definition.
+
+        Parameters
+        ----------
+        module_name : str
+            The name of the module to be loaded.
+        module_config : dict
+            The configuration dictionary for the module.
+
+        Returns
+        -------
+        ModuleLoader
+            A specific instance of this module.
+        """
+        return ModuleLoader(self, module_name, module_config)
+
+    def print_schema(self) -> str:
+        """
+        Returns a human-readable description of the module's parameter schema.
+
+        Returns
+        -------
+        str
+            A description of the module's parameter schema.
+        """
+        if not self._config_schema:
+            return "No parameter contract defined for this module."
+
+        description = f"Schema for {self._id}:\n"
+        for field in self._config_schema.__fields__.values():
+            description += f"  - {field.name} ({field.type_.__name__}): {field.field_info.description}\n"
+
+        return description
diff --git a/morpheus/utils/monitor_utils.py b/morpheus/utils/monitor_utils.py
index 586d0730d2..f647aff01f 100644
--- a/morpheus/utils/monitor_utils.py
+++ b/morpheus/utils/monitor_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/__init__.py b/morpheus/utils/nvt/__init__.py
index 081b2ae826..66061e580b 100644
--- a/morpheus/utils/nvt/__init__.py
+++ b/morpheus/utils/nvt/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/decorators.py b/morpheus/utils/nvt/decorators.py
index 217d391feb..6d13dfa444 100644
--- a/morpheus/utils/nvt/decorators.py
+++ b/morpheus/utils/nvt/decorators.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/extensions/__init__.py b/morpheus/utils/nvt/extensions/__init__.py
index e464bd6690..57d1384dac 100644
--- a/morpheus/utils/nvt/extensions/__init__.py
+++ b/morpheus/utils/nvt/extensions/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/extensions/morpheus_ext.py b/morpheus/utils/nvt/extensions/morpheus_ext.py
index c3b82df99b..b85a3bb68d 100644
--- a/morpheus/utils/nvt/extensions/morpheus_ext.py
+++ b/morpheus/utils/nvt/extensions/morpheus_ext.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/mutate.py b/morpheus/utils/nvt/mutate.py
index 92c62bc7e1..c9228f1310 100644
--- a/morpheus/utils/nvt/mutate.py
+++ b/morpheus/utils/nvt/mutate.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/patches/__init__.py b/morpheus/utils/nvt/patches/__init__.py
index 89e3b87c60..03a1b3bc36 100644
--- a/morpheus/utils/nvt/patches/__init__.py
+++ b/morpheus/utils/nvt/patches/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/patches/merlin_patches.py b/morpheus/utils/nvt/patches/merlin_patches.py
index 0bb68e5626..9d9d82e81d 100644
--- a/morpheus/utils/nvt/patches/merlin_patches.py
+++ b/morpheus/utils/nvt/patches/merlin_patches.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/schema_converters.py b/morpheus/utils/nvt/schema_converters.py
index 1889fcd70c..44249618b7 100644
--- a/morpheus/utils/nvt/schema_converters.py
+++ b/morpheus/utils/nvt/schema_converters.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/nvt/transforms.py b/morpheus/utils/nvt/transforms.py
index 629a22d56b..c8aab33b81 100644
--- a/morpheus/utils/nvt/transforms.py
+++ b/morpheus/utils/nvt/transforms.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/onnx_to_trt.py b/morpheus/utils/onnx_to_trt.py
index 524e1616d3..3990bcfbfb 100644
--- a/morpheus/utils/onnx_to_trt.py
+++ b/morpheus/utils/onnx_to_trt.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -27,50 +27,50 @@
     raise
 
 
-def gen_engine(c: ConfigOnnxToTRT):
+def gen_engine(config: ConfigOnnxToTRT):
     """
     This class converts an Onnx model to a TRT model.
 
     Parameters
     ----------
-    c : `morpheus.config.ConfigOnnxToTRT`
-        Onnc to TRT generator configuration.
+    config : `morpheus.config.ConfigOnnxToTRT`
+        ONNX to TRT generator configuration.
 
     """
 
     # Local imports to avoid requiring TensorRT to generate the docs
 
-    TRT_LOGGER = trt.Logger()
+    trt_logger = trt.Logger()
 
-    input_model = c.input_model
+    input_model = config.input_model
 
-    print("Loading ONNX file: '{}'".format(input_model))
+    print("Loading ONNX file: '{input_model}'")
 
     # Otherwise we are creating a new model
-    EXPLICIT_BATCH = 1 << (int)(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH)
+    explicit_branch = 1 << (int)(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH)
 
-    with trt.Builder(TRT_LOGGER) as builder, \
-        builder.create_network(EXPLICIT_BATCH) as network, \
-            trt.OnnxParser(network, TRT_LOGGER) as parser:
+    with trt.Builder(trt_logger) as builder, \
+        builder.create_network(explicit_branch) as network, \
+            trt.OnnxParser(network, trt_logger) as parser:
 
         with open(input_model, "rb") as model_file:
             if (not parser.parse(model_file.read())):
                 for error in range(parser.num_errors):
                     print(parser.get_error(error))
-                raise Exception("Count not parse Onnx file. See log.")
+                raise ValueError("Count not parse Onnx file. See log.")
 
         # Now we need to build and serialize the model
         with builder.create_builder_config() as builder_config:
 
-            builder_config.max_workspace_size = c.max_workspace_size * (1024 * 1024)
+            builder_config.max_workspace_size = config.max_workspace_size * (1024 * 1024)
             builder_config.set_flag(trt.BuilderFlag.FP16)
 
             # Create the optimization files
-            for min_batch, max_batch in c.batches:
+            for min_batch, max_batch in config.batches:
                 profile = builder.create_optimization_profile()
 
-                min_shape = (min_batch, c.seq_length)
-                shape = (max_batch, c.seq_length)
+                min_shape = (min_batch, config.seq_length)
+                shape = (max_batch, config.seq_length)
 
                 for i in range(network.num_inputs):
                     in_tensor = network.get_input(i)
@@ -83,10 +83,10 @@ def gen_engine(c: ConfigOnnxToTRT):
             engine = builder.build_engine(network, builder_config)
 
             # Now save a copy to prevent building next time
-            print("Writing engine to: {}".format(c.output_model))
+            print("Writing engine to: {config.output_model}")
             serialized_engine = engine.serialize()
 
-            with open(c.output_model, "wb") as f:
+            with open(config.output_model, "wb") as f:
                 f.write(serialized_engine)
 
             print("Complete!")
diff --git a/morpheus/utils/producer_consumer_queue.py b/morpheus/utils/producer_consumer_queue.py
index 3516d8420d..d7d42fc69d 100644
--- a/morpheus/utils/producer_consumer_queue.py
+++ b/morpheus/utils/producer_consumer_queue.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/utils/schema_transforms.py b/morpheus/utils/schema_transforms.py
index 8abbccf9c3..c0203d4453 100644
--- a/morpheus/utils/schema_transforms.py
+++ b/morpheus/utils/schema_transforms.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,8 +15,8 @@
 import logging
 import os
 import typing
+import warnings
 
-import nvtabular as nvt
 import pandas as pd
 
 import cudf
@@ -27,17 +27,22 @@
 from morpheus.utils.nvt.extensions import morpheus_ext
 from morpheus.utils.nvt.schema_converters import create_and_attach_nvt_workflow
 
-if os.environ.get("MORPHEUS_IN_SPHINX_BUILD") is None:
-    # Apply patches to NVT
-    # TODO(Devin): Can be removed, once numpy mappings are updated in Merlin
-    # ========================================================================
-    patches.patch_numpy_dtype_registry()
-    # ========================================================================
+with warnings.catch_warnings():
+    # Ignore warning regarding tensorflow not being installed
+    warnings.filterwarnings("ignore", message=".*No module named 'tensorflow'", category=UserWarning)
+    import nvtabular as nvt
 
-    # Add morpheus conversion mappings
-    # ========================================================================
-    morpheus_ext.register_morpheus_extensions()
-    # =========================================================================
+    if os.environ.get("MORPHEUS_IN_SPHINX_BUILD") is None:
+        # Apply patches to NVT
+        # TODO(Devin): Can be removed, once numpy mappings are updated in Merlin
+        # ========================================================================
+        patches.patch_numpy_dtype_registry()
+        # ========================================================================
+
+        # Add morpheus conversion mappings
+        # ========================================================================
+        morpheus_ext.register_morpheus_extensions()
+        # =========================================================================
 
 logger = logging.getLogger(__name__)
 
@@ -94,7 +99,7 @@ def process_dataframe(
     if (isinstance(df_in, pd.DataFrame)):
         convert_to_pd = True
 
-    # If we're given an nvt_schema, we just use it.
+    # If we're given a nvt_schema, we just use it.
     nvt_workflow = input_schema
     if (isinstance(input_schema, DataFrameInputSchema)):
         if (input_schema.nvt_workflow is None):
diff --git a/morpheus/utils/seed.py b/morpheus/utils/seed.py
index 075b009898..84106fc5ae 100644
--- a/morpheus/utils/seed.py
+++ b/morpheus/utils/seed.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/morpheus/utils/sql_utils.py b/morpheus/utils/sql_utils.py
index 8aa33d5e60..ed2c4a4f63 100644
--- a/morpheus/utils/sql_utils.py
+++ b/morpheus/utils/sql_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -239,7 +239,7 @@ def gen_sql_conn_str(cls, sql_config: typing.Dict) -> str:
             database=sql_params.get("database", None),
         )
 
-        return str(url_obj)
+        return url_obj.render_as_string(hide_password=False)
 
     def gen_placeholder_str(self, count: int) -> str:
         """
diff --git a/morpheus/utils/type_aliases.py b/morpheus/utils/type_aliases.py
index eae15232d0..f944c3f9cb 100644
--- a/morpheus/utils/type_aliases.py
+++ b/morpheus/utils/type_aliases.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/type_utils.py b/morpheus/utils/type_utils.py
index 9a897406a6..a3aefdde8d 100644
--- a/morpheus/utils/type_utils.py
+++ b/morpheus/utils/type_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/morpheus/utils/verify_dependencies.py b/morpheus/utils/verify_dependencies.py
deleted file mode 100644
index c5db25e2fa..0000000000
--- a/morpheus/utils/verify_dependencies.py
+++ /dev/null
@@ -1,26 +0,0 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-def _verify_deps(deps: tuple[str], error_message: str, namespace: dict):
-    """
-    There are some dependencies that are only used by a specific stage, and are not installed by default.
-    These packages are imported in a guarded try-except block. It is only when the stage is used that these
-    dependencies need to be enforced.
-
-    raise ImportError if any of the dependencies are not installed.
-    """
-    for dep in deps:
-        if dep not in namespace:
-            raise ImportError(error_message)
diff --git a/pyproject.toml b/pyproject.toml
index e52c590aba..48a811e56d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -25,11 +25,18 @@ markers = [
 ]
 
 filterwarnings = [
-  # Warning coming from mlflow's usage of numpy
-  'ignore:`np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe',
+  # Ignore our own warning about the df property since we still have to test it
   'ignore:Warning the df property returns a copy, please use the copy_dataframe method or the mutable_dataframe context manager to modify the DataFrame in-place instead.',
-  'ignore:`np.MachAr` is deprecated \(NumPy 1.22\):DeprecationWarning',
-  'ignore:Please use `spmatrix` from the `scipy.sparse` namespace, the `scipy.sparse.base` namespace is deprecated:DeprecationWarning',
+
+  # Deprecation warning from any project using distutils, currently known sources of this are:
+  # GPUtils https://github.com/anderskm/gputil/issues/48
+  # PySpark https://issues.apache.org/jira/browse/SPARK-45390 & https://issues.apache.org/jira/browse/SPARK-38660
+  'ignore:The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives',
+  'ignore:distutils Version classes are deprecated. Use packaging.version instead.',
+
+  # Ignore cudf warnings about Pandas being used under the hood for processing json
+  'ignore:Using CPU via Pandas to write JSON dataset',
+  'ignore:Using CPU via Pandas to read JSON dataset',
 ]
 
 testpaths = ["tests"]
@@ -42,6 +49,7 @@ asyncio_mode = "auto"
 ignore_patterns = [
   "**/*.pyx",
   "**/*.pxd",
+  "**/_version.py",
 ]
 
 [tool.mypy]
@@ -478,6 +486,7 @@ disable = [
   "bad-inline-option",
   "broad-exception-caught", # Allow catching base Exception class
   "deprecated-pragma",
+  "duplicate-code", # This is too restrictive for our codebase
   "file-ignored",
   "import-error", # pylint gets confused by tests for our examples
   "import-outside-toplevel", # Allow lazy imports inside of methods
@@ -489,7 +498,7 @@ disable = [
   "raw-checker-failed",
   "superfluous-parens",
   "suppressed-message",
-  "too-few-public-methods", # Disable all of the "too-*" checks, as they are too strict for our codebase
+  "too-few-public-methods", # Disable all the "too-*" checks, as they are too strict for our codebase
   "too-many-arguments",
   "too-many-branches",
   "too-many-instance-attributes",
diff --git a/scripts/compare_data_files.py b/scripts/compare_data_files.py
index fb4084a1bb..b1a53f4fa1 100755
--- a/scripts/compare_data_files.py
+++ b/scripts/compare_data_files.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/compile.sh b/scripts/compile.sh
index 7bf7fe6108..f1e16e6282 100755
--- a/scripts/compile.sh
+++ b/scripts/compile.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/fetch_data.py b/scripts/fetch_data.py
index 6c8c43cbf0..cf5b357bef 100755
--- a/scripts/fetch_data.py
+++ b/scripts/fetch_data.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -31,49 +31,50 @@
 }
 
 
-def lfsPull(include_paths, poll_interval=0.1):
+def lfs_pull(include_paths, poll_interval=0.1):
     """
     Performs a git lfs pull.
     """
-    cmd = 'git lfs pull -X "" -I "{}"'.format(','.join(include_paths))
+    include_paths = ','.join(include_paths)
+    cmd = f'git lfs pull -X "" -I "{include_paths}"'
     env = os.environ.copy()
 
     # Instruct git lfs to not supress progress output. Fetching the models can
     # take over a minute to complete, so we want our users to receive feedback.
     env['GIT_LFS_FORCE_PROGRESS'] = '1'
-    popen = subprocess.Popen(cmd,
-                             env=env,
-                             shell=True,
-                             universal_newlines=True,
-                             stderr=subprocess.STDOUT,
-                             stdout=subprocess.PIPE)
-
-    outpipe = popen.stdout
-    returncode = None
-    all_out = []
-    while returncode is None:
-        time.sleep(poll_interval)
-        out = outpipe.readline()
-        if out.rstrip() != '':
-            logging.info(out.rstrip())
-            all_out.append(out)
-
-        returncode = popen.poll()
 
-    # Check if we have any additional output written to the pipe before our last poll
-    out = outpipe.read()
-    if out != '':
-        all_out.append(out)
+    with subprocess.Popen(cmd,
+                          env=env,
+                          shell=True,
+                          universal_newlines=True,
+                          stderr=subprocess.STDOUT,
+                          stdout=subprocess.PIPE) as popen:
+        outpipe = popen.stdout
+        returncode = None
+        all_out = []
+        while returncode is None:
+            time.sleep(poll_interval)
+            out = outpipe.readline()
+            if out.rstrip() != '':
+                logging.info(out.rstrip())
+                all_out.append(out)
+
+            returncode = popen.poll()
+
+        # Check if we have any additional output written to the pipe before our last poll
+        out = outpipe.read()
+        if out != '':
+            all_out.append(out)
 
-    output = ''.join(all_out).rstrip("\n")
-    if returncode != 0:
-        logging.error(output)
-        raise subprocess.CalledProcessError(returncode=returncode, cmd=cmd, output=output)
+        output = ''.join(all_out).rstrip("\n")
+        if returncode != 0:
+            logging.error(output)
+            raise subprocess.CalledProcessError(returncode=returncode, cmd=cmd, output=output)
 
-    return output
+        return output
 
 
-def lfsCheck(list_all=False):
+def lfs_check(list_all=False):
     output = subprocess.check_output('git lfs ls-files', shell=True, universal_newlines=True)
     output_lines = output.splitlines()
 
@@ -95,12 +96,12 @@ def lfsCheck(list_all=False):
             logging.info('%s - %s', filename, downloaded)
 
     if not list_all:
-        if len(missing_files):
+        if missing_files:
             logging.error("Missing the following LFS files:\n%s", "\n".join(missing_files))
         else:
             logging.info("All LFS files downloaded")
 
-    if len(missing_files):
+    if missing_files:
         sys.exit(1)
 
 
@@ -134,9 +135,9 @@ def main():
 
     if args.subcommand == 'fetch':
         include_paths = [LFS_DATASETS[p] for p in args.data_set]
-        lfsPull(include_paths)
+        lfs_pull(include_paths)
     else:
-        lfsCheck(list_all=args.list_all)
+        lfs_check(list_all=args.list_all)
 
 
 if __name__ == "__main__":
diff --git a/scripts/validation/abp/val-abp-all.sh b/scripts/validation/abp/val-abp-all.sh
index ffaaafa918..0c2a91c2c8 100755
--- a/scripts/validation/abp/val-abp-all.sh
+++ b/scripts/validation/abp/val-abp-all.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/abp/val-abp.sh b/scripts/validation/abp/val-abp.sh
index 4202096306..6f210708cb 100755
--- a/scripts/validation/abp/val-abp.sh
+++ b/scripts/validation/abp/val-abp.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/hammah/val-hammah-all.sh b/scripts/validation/hammah/val-hammah-all.sh
index 36d73f0791..ea5021bc37 100755
--- a/scripts/validation/hammah/val-hammah-all.sh
+++ b/scripts/validation/hammah/val-hammah-all.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/hammah/val-hammah.sh b/scripts/validation/hammah/val-hammah.sh
index 5e1edf9eb3..1201502e91 100755
--- a/scripts/validation/hammah/val-hammah.sh
+++ b/scripts/validation/hammah/val-hammah.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/kafka_testing.md b/scripts/validation/kafka_testing.md
index b2ede161b9..1b64f2aa2f 100644
--- a/scripts/validation/kafka_testing.md
+++ b/scripts/validation/kafka_testing.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 SPDX-License-Identifier: Apache-2.0
 
 Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/phishing/val-phishing-all.sh b/scripts/validation/phishing/val-phishing-all.sh
index 0f762c4156..abe0dec28d 100755
--- a/scripts/validation/phishing/val-phishing-all.sh
+++ b/scripts/validation/phishing/val-phishing-all.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/phishing/val-phishing.sh b/scripts/validation/phishing/val-phishing.sh
index ef9d98a4c2..c081d3aa88 100755
--- a/scripts/validation/phishing/val-phishing.sh
+++ b/scripts/validation/phishing/val-phishing.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/sid/val-sid-all.sh b/scripts/validation/sid/val-sid-all.sh
index f3e8a8bbf0..caa5a72a3b 100755
--- a/scripts/validation/sid/val-sid-all.sh
+++ b/scripts/validation/sid/val-sid-all.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/sid/val-sid.sh b/scripts/validation/sid/val-sid.sh
index 79925e2a45..77fcdce720 100755
--- a/scripts/validation/sid/val-sid.sh
+++ b/scripts/validation/sid/val-sid.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/val-globals.sh b/scripts/validation/val-globals.sh
index 9356e29cd5..5fc9eb74eb 100755
--- a/scripts/validation/val-globals.sh
+++ b/scripts/validation/val-globals.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/val-run-all.sh b/scripts/validation/val-run-all.sh
index 2121fdc598..905ee7f7e5 100755
--- a/scripts/validation/val-run-all.sh
+++ b/scripts/validation/val-run-all.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/val-run-pipeline.sh b/scripts/validation/val-run-pipeline.sh
index 97882e888a..ee8b00075c 100755
--- a/scripts/validation/val-run-pipeline.sh
+++ b/scripts/validation/val-run-pipeline.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/scripts/validation/val-utils.sh b/scripts/validation/val-utils.sh
index 443d579996..c1475d5efa 100755
--- a/scripts/validation/val-utils.sh
+++ b/scripts/validation/val-utils.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/setup.cfg b/setup.cfg
index a6a79158d4..8b0fbaa4e2 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -52,6 +52,8 @@ default_section=THIRDPARTY
 sections=FUTURE,STDLIB,THIRDPARTY,DASK,RAPIDS,FIRSTPARTY,LOCALFOLDER
 skip=
     __init__.py
+    # Skip _version.py as it is auto-generated
+    _version.py
     .eggs
     .git
     .hg
@@ -63,10 +65,7 @@ skip=
     build
     dist
     models
-    morpheus/_version.py
     thirdparty
-    # Skip versioneer.py as its third-party
-    versioneer.py
 
 # ===== flake8 Config =====
 [flake8]
@@ -83,8 +82,7 @@ exclude =
    docs,
    models/,
    morpheus/models/dfencoder/*.py,
-   thirdparty,
-   versioneer.py
+   thirdparty
 max-line-length = 120
 max-doc-length = 120
 
@@ -131,7 +129,7 @@ per-file-ignores =
         D102,
         # D103: Missing docstring in public function
         D103
-        
+
 [yapf]
 based_on_style = pep8
 column_limit = 120
diff --git a/setup.py b/setup.py
index e26112b5cc..3f41ef83b2 100644
--- a/setup.py
+++ b/setup.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -12,28 +12,16 @@
 # limitations under the License.
 
 # See the docstring in versioneer.py for instructions. Note that you must
-# re-run 'versioneer.py setup' after changing this section, and commit the
+# re-run 'versioneer setup' after changing this section, and commit the
 # resulting files.
 
-import os
-import sys
-
+import versioneer
 from setuptools import find_packages  # noqa: E402
 from setuptools import setup  # noqa: E402
 
-try:
-    import versioneer
-except ImportError:
-    # we have a versioneer.py file living in the same directory as this file, but
-    # if we're using pep 517/518 to build from pyproject.toml its not going to find it
-    # https://github.com/python-versioneer/python-versioneer/issues/193#issue-408237852
-    # make this work by adding this directory to the python path
-    sys.path.append(os.path.dirname(os.path.realpath(__file__)))
-    import versioneer
-
 setup(
     name="morpheus",
-    version=versioneer.get_version(),
+    version=versioneer.get_version(),  # pylint: disable=no-member
     description="Morpheus",
     classifiers=[
         "Development Status :: 3 - Alpha",
@@ -50,13 +38,10 @@
     author="NVIDIA Corporation",
     include_package_data=True,
     packages=find_packages(include=["morpheus*"], exclude=['tests']),
-    install_requires=[
-        # Only list the packages which cannot be installed via conda here.
-        "pyarrow_hotfix",  # CVE-2023-47248. See morpheus/__init__.py for more details
-    ],
+    install_requires=[],
     license="Apache",
     python_requires='>=3.10, <4',
-    cmdclass=versioneer.get_cmdclass(),
+    cmdclass=versioneer.get_cmdclass(),  # pylint: disable=no-member
     entry_points='''
         [console_scripts]
         morpheus=morpheus.cli:run_cli
diff --git a/tests/_utils/__init__.py b/tests/_utils/__init__.py
index dc9aa515a0..c11afb671b 100644
--- a/tests/_utils/__init__.py
+++ b/tests/_utils/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/dataset_manager.py b/tests/_utils/dataset_manager.py
index eeb1e9bb27..72a277cf21 100644
--- a/tests/_utils/dataset_manager.py
+++ b/tests/_utils/dataset_manager.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,6 +18,7 @@
 import os
 import random
 import typing
+import warnings
 
 import cupy as cp
 import pandas as pd
@@ -235,7 +236,10 @@ def compare_df(cls,
                    dfb: typing.Union[pd.DataFrame, cdf.DataFrame],
                    **compare_args):
         """Wrapper for `morpheus.utils.compare_df.compare_df`."""
-        return compare_df.compare_df(cls._value_as_pandas(dfa), cls._value_as_pandas(dfb), **compare_args)
+        with warnings.catch_warnings():
+            # Ignore performance warnings from pandas triggered by the comparison
+            warnings.filterwarnings("ignore", category=pd.errors.PerformanceWarning)
+            return compare_df.compare_df(cls._value_as_pandas(dfa), cls._value_as_pandas(dfb), **compare_args)
 
     @classmethod
     def assert_compare_df(cls,
diff --git a/tests/_utils/environment.py b/tests/_utils/environment.py
new file mode 100644
index 0000000000..b4ddea4866
--- /dev/null
+++ b/tests/_utils/environment.py
@@ -0,0 +1,58 @@
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Utilities for modifying the environment for testing Morpheus"""
+
+import contextlib
+import os
+
+
+@contextlib.contextmanager
+def set_env(**env_vars):
+    """
+    Temporarily updates the ``os.environ`` dictionary in-place.
+
+    The ``os.environ`` dictionary is updated in-place so that the modification
+    is sure to work in all situations.
+
+    Setting a value to ``None`` will cause the key to be removed from the environment.
+    """
+    # Taken from https://stackoverflow.com/a/34333710
+    env = os.environ
+
+    # Remove any which are set to None
+    remove = [k for k, v in env_vars.items() if v is None]
+
+    # Save the remaining environment variables to set
+    update = {k: v for k, v in env_vars.items() if v is not None}
+
+    # List of environment variables being updated or removed.
+    stomped = (set(update.keys()) | set(remove)) & set(env.keys())
+    # Environment variables and values to restore on exit.
+    update_after = {k: env[k] for k in stomped}
+    # Environment variables and values to remove on exit.
+    remove_after = frozenset(k for k in update if k not in env)
+
+    try:
+        env.update(update)
+
+        for k in remove:
+            env.pop(k, None)
+
+        yield
+    finally:
+        env.update(update_after)
+
+        for k in remove_after:
+            env.pop(k)
diff --git a/tests/_utils/inference_worker.py b/tests/_utils/inference_worker.py
index 7934440c54..fcdbd237da 100644
--- a/tests/_utils/inference_worker.py
+++ b/tests/_utils/inference_worker.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/kafka.py b/tests/_utils/kafka.py
index 1921e9e289..21e8dee721 100644
--- a/tests/_utils/kafka.py
+++ b/tests/_utils/kafka.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,6 +18,7 @@
 import subprocess
 import time
 import typing
+import warnings
 from collections import namedtuple
 from functools import partial
 
@@ -73,10 +74,15 @@ def seek_to_beginning(kafka_consumer: "KafkaConsumer", timeout: int = PARTITION_
 
 @pytest.fixture(name='kafka_consumer', scope='function')
 def kafka_consumer_fixture(kafka_topics: KafkaTopics, _kafka_consumer: "KafkaConsumer"):
-    _kafka_consumer.subscribe([kafka_topics.output_topic])
-    seek_to_beginning(_kafka_consumer)
-
-    yield _kafka_consumer
+    with warnings.catch_warnings():
+        # Ignore warnings specific to the test fixture and not the actual morpheus code
+        warnings.filterwarnings("ignore",
+                                message=r"Exception ignored in:.*ConsumerCoordinator\.__del__",
+                                category=pytest.PytestUnraisableExceptionWarning)
+        _kafka_consumer.subscribe([kafka_topics.output_topic])
+        seek_to_beginning(_kafka_consumer)
+
+        yield _kafka_consumer
 
 
 def _init_pytest_kafka() -> (bool, Exception):
diff --git a/tests/_utils/llm.py b/tests/_utils/llm.py
index 43217de89a..9d9802478d 100644
--- a/tests/_utils/llm.py
+++ b/tests/_utils/llm.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -14,6 +14,7 @@
 
 import asyncio
 import typing
+from unittest import mock
 
 from morpheus.llm import InputMap
 from morpheus.llm import LLMContext
@@ -73,3 +74,48 @@ def execute_task_handler(task_handler: LLMTaskHandler,
     message = asyncio.run(task_handler.try_handle(context))
 
     return message
+
+
+def _mk_mock_choice(message: str) -> mock.MagicMock:
+    mock_choice = mock.MagicMock()
+    mock_choice.message.content = message
+    return mock_choice
+
+
+def mk_mock_openai_response(messages: list[str]) -> mock.MagicMock:
+    """
+    Creates a mocked openai.types.chat.chat_completion.ChatCompletion response with the given messages.
+    """
+    response = mock.MagicMock()
+
+    response.choices = [_mk_mock_choice(message) for message in messages]
+    response.dict.return_value = {
+        "choices": [{
+            'message': {
+                'role': 'assistant', 'content': message
+            }
+        } for message in messages]
+    }
+
+    return response
+
+
+def mk_mock_langchain_tool(responses: list[str]) -> mock.MagicMock:
+    """
+    Creates a mocked LangChainTestTool with the given responses.
+    """
+
+    # Langchain will call inspect.signature on the tool methods, typically mock objects don't have a signature,
+    # explicitly providing one here
+    async def _arun_spec(*_, **__):
+        pass
+
+    def run_spec(*_, **__):
+        pass
+
+    tool = mock.MagicMock()
+    tool.arun = mock.create_autospec(spec=_arun_spec)
+    tool.arun.side_effect = responses
+    tool.run = mock.create_autospec(run_spec)
+    tool.run.side_effect = responses
+    return tool
diff --git a/tests/_utils/milvus.py b/tests/_utils/milvus.py
new file mode 100644
index 0000000000..ac5e08b7e6
--- /dev/null
+++ b/tests/_utils/milvus.py
@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Utilities for testing Morpheus with Milvus"""
+
+import cudf
+
+from morpheus.service.vdb.milvus_vector_db_service import MilvusVectorDBService
+
+
+def populate_milvus(milvus_server_uri: str,
+                    collection_name: str,
+                    resource_kwargs: dict,
+                    df: cudf.DataFrame,
+                    overwrite: bool = False):
+    milvus_service = MilvusVectorDBService(uri=milvus_server_uri)
+    milvus_service.create(collection_name, overwrite=overwrite, **resource_kwargs)
+    resource_service = milvus_service.load_resource(name=collection_name)
+    resource_service.insert_dataframe(name=collection_name, df=df, **resource_kwargs)
diff --git a/tests/_utils/stages/check_pre_alloc.py b/tests/_utils/stages/check_pre_alloc.py
index ccdf2a2ad0..674b73daae 100644
--- a/tests/_utils/stages/check_pre_alloc.py
+++ b/tests/_utils/stages/check_pre_alloc.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/stages/conv_msg.py b/tests/_utils/stages/conv_msg.py
index 6da9ef1c19..aa5886c4f7 100755
--- a/tests/_utils/stages/conv_msg.py
+++ b/tests/_utils/stages/conv_msg.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,8 +22,10 @@
 
 import cudf
 
+import morpheus._lib.messages as _messages
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.messages import MultiMessage
 from morpheus.messages import MultiResponseMessage
 from morpheus.messages import ResponseMemory
@@ -31,12 +33,14 @@
 from morpheus.pipeline.stage_schema import StageSchema
 
 
-@register_stage("unittest-conv-msg", ignore_args=["expected_data"])
+@register_stage("unittest-conv-msg", ignore_args=["expected_data", "message_type"])
 class ConvMsg(SinglePortStage):
     """
-    Simple test stage to convert a MultiMessage to a MultiResponseProbsMessage
+    Simple test stage to convert a MultiMessage to a MultiResponseProbsMessage,
+    or a ControlMessage to a ControlMessage with probs tensor.
     Basically a cheap replacement for running an inference stage.
 
+    Setting `message_type` to determine the input type of the stage.
     Setting `expected_data` to a DataFrame will cause the probs array to by populated by the values in the DataFrame.
     Setting `expected_data` to `None` causes the probs array to be a copy of the incoming dataframe.
     Setting `columns` restricts the columns copied into probs to just the ones specified.
@@ -50,12 +54,14 @@ def __init__(self,
                  columns: typing.List[str] = None,
                  order: str = 'K',
                  probs_type: str = 'f4',
-                 empty_probs: bool = False):
+                 empty_probs: bool = False,
+                 message_type: type[MultiResponseMessage] | type[ControlMessage] = MultiResponseMessage):
         super().__init__(c)
 
         if expected_data is not None:
             assert isinstance(expected_data, (pd.DataFrame, cudf.DataFrame))
 
+        self._message_type = message_type
         self._expected_data = expected_data
         self._columns = columns
         self._order = order
@@ -67,15 +73,18 @@ def name(self) -> str:
         return "test"
 
     def accepted_types(self) -> typing.Tuple:
-        return (MultiMessage, )
+        return (
+            MultiMessage,
+            ControlMessage,
+        )
 
     def compute_schema(self, schema: StageSchema):
-        schema.output_schema.set_type(MultiResponseMessage)
+        schema.output_schema.set_type(self._message_type)
 
     def supports_cpp_node(self) -> bool:
         return False
 
-    def _conv_message(self, message: MultiMessage) -> MultiResponseMessage:
+    def _conv_message(self, message: MultiMessage | ControlMessage) -> MultiResponseMessage | ControlMessage:
         if self._expected_data is not None:
             if (isinstance(self._expected_data, cudf.DataFrame)):
                 df = self._expected_data.copy(deep=True)
@@ -83,16 +92,23 @@ def _conv_message(self, message: MultiMessage) -> MultiResponseMessage:
                 df = cudf.DataFrame(self._expected_data)
 
         else:
-            if self._columns is not None:
-                df = message.get_meta(self._columns)
+            if (isinstance(message, MultiMessage)):
+                if (self._columns is None):
+                    df = message.get_meta()
+                else:
+                    df = message.get_meta(self._columns)
             else:
-                df = message.get_meta()
+                df: cudf.DataFrame = message.payload().get_data(self._columns)  # type: ignore
 
         if self._empty_probs:
             probs = cp.zeros([len(df), 3], 'float')
         else:
             probs = cp.array(df.values, dtype=self._probs_type, copy=True, order=self._order)
 
+        if (isinstance(message, ControlMessage)):
+            message.tensors(_messages.TensorMemory(count=len(probs), tensors={'probs': probs}))
+            return message
+
         memory = ResponseMemory(count=len(probs), tensors={'probs': probs})
         return MultiResponseMessage.from_message(message, memory=memory)
 
diff --git a/tests/_utils/stages/dfp_length_checker.py b/tests/_utils/stages/dfp_length_checker.py
index 8f07f7bb4d..1162a647f7 100755
--- a/tests/_utils/stages/dfp_length_checker.py
+++ b/tests/_utils/stages/dfp_length_checker.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/stages/error_raiser.py b/tests/_utils/stages/error_raiser.py
index d7f856f517..8923229ab2 100644
--- a/tests/_utils/stages/error_raiser.py
+++ b/tests/_utils/stages/error_raiser.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/stages/in_memory_multi_source_stage.py b/tests/_utils/stages/in_memory_multi_source_stage.py
index ac009c74c1..1eb2d46092 100644
--- a/tests/_utils/stages/in_memory_multi_source_stage.py
+++ b/tests/_utils/stages/in_memory_multi_source_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/stages/in_memory_source_x_stage.py b/tests/_utils/stages/in_memory_source_x_stage.py
index f2ab6a6e59..bd1256c07a 100644
--- a/tests/_utils/stages/in_memory_source_x_stage.py
+++ b/tests/_utils/stages/in_memory_source_x_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/stages/multi_message_pass_thru.py b/tests/_utils/stages/multi_message_pass_thru.py
index 2d591324a7..eb0b5c3789 100644
--- a/tests/_utils/stages/multi_message_pass_thru.py
+++ b/tests/_utils/stages/multi_message_pass_thru.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/stages/multi_port_pass_thru.py b/tests/_utils/stages/multi_port_pass_thru.py
index d2d31bb909..5454974870 100644
--- a/tests/_utils/stages/multi_port_pass_thru.py
+++ b/tests/_utils/stages/multi_port_pass_thru.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/stages/record_thread_id_stage.py b/tests/_utils/stages/record_thread_id_stage.py
index 80e9aa1547..d2d9a12a82 100644
--- a/tests/_utils/stages/record_thread_id_stage.py
+++ b/tests/_utils/stages/record_thread_id_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/stages/split_stage.py b/tests/_utils/stages/split_stage.py
index 165c134277..4e816de6c0 100644
--- a/tests/_utils/stages/split_stage.py
+++ b/tests/_utils/stages/split_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/_utils/test_directories.py b/tests/_utils/test_directories.py
index 8c34310dda..9fb9b5c10d 100644
--- a/tests/_utils/test_directories.py
+++ b/tests/_utils/test_directories.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/benchmarks/README.md b/tests/benchmarks/README.md
index da0553c287..905e6e30b5 100644
--- a/tests/benchmarks/README.md
+++ b/tests/benchmarks/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -29,9 +29,7 @@ docker pull nvcr.io/nvidia/tritonserver:23.06-py3
 
 ##### Start Triton Inference Server container
 ```bash
-cd ${MORPHEUS_ROOT}/models
-
-docker run --gpus=1 --rm -p8000:8000 -p8001:8001 -p8002:8002 -v $PWD:/models nvcr.io/nvidia/tritonserver:23.06-py3 tritonserver --model-repository=/models/triton-model-repo --model-control-mode=explicit --load-model sid-minibert-onnx --load-model abp-nvsmi-xgb --load-model phishing-bert-onnx
+docker run --gpus=all --rm -p8000:8000 -p8001:8001 -p8002:8002 -v $PWD/models:/models nvcr.io/nvidia/tritonserver:23.06-py3 tritonserver --model-repository=/models/triton-model-repo --model-control-mode=explicit --load-model sid-minibert-onnx --load-model abp-nvsmi-xgb --load-model phishing-bert-onnx --load-model all-MiniLM-L6-v2
 ```
 
 ##### Verify Model Deployments
@@ -42,6 +40,7 @@ Once Triton server finishes starting up, it will display the status of all loade
 | Model              | Version | Status |
 +--------------------+---------+--------+
 | abp-nvsmi-xgb      | 1       | READY  |
+| all-MiniLM-L6-v2   | 1       | READY  |
 | phishing-bert-onnx | 1       | READY  |
 | sid-minibert-onnx  | 1       | READY  |
 +--------------------+---------+--------+
@@ -100,17 +99,27 @@ Morpheus configurations for each workflow are managed using `e2e_test_configs.js
 ...
 ```
 
-Benchmarks for an individual workflow can be run using the following:
-
+To run all benchmarks run the following:
 ```bash
 cd tests/benchmarks
 
-pytest -s --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave test_bench_e2e_pipelines.py::<test-workflow>
+pytest -s --run_benchmark --run_milvus --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave
 ```
+
 The `-s` option allows outputs of pipeline execution to be displayed so you can ensure there are no errors while running your benchmarks.
 
-The `--benchmark-warmup` and `--benchmark-warmup-iterations` options are used to run the workflow(s) once before starting measurements. This is because the models deployed to Triton are configured to convert from ONNX to TensorRT on first use. Since the conversion can take a considerable amount of time, we don't want to include it in the measurements.
+The `--benchmark-warmup` and `--benchmark-warmup-iterations` options are used to run the workflow(s) once before starting measurements. This is because the models deployed to Triton are configured to convert from ONNX to TensorRT on first use. Since the conversion can take a considerable amount of time, we don't want to include it in the measurements. The `--run_milvus` flag enables benchmarks which require the Milvus database.
+
+#### Running with an existing Milvus database
+
+By default when `--run_milvus` flag is provided, pytest will start a new Milvus database. If you wish to use an existing Milvus database, you can set the `MORPHEUS_MILVUS_URI` environment variable. For a local Milvus database, running on the default port, you can set the environment variable as follows:
+```bash
+export MORPHEUS_MILVUS_URI="http://127.0.0.1:19530"
+```
+
+#### test_bench_e2e_pipelines.py
 
+The `test_bench_e2e_pipelines.py` script contains several benchmarks within it.
 `<test-workflow>` is the name of the test to run benchmarks on. This can be one of the following:
 - `test_sid_nlp_e2e`
 - `test_abp_fil_e2e`
@@ -189,10 +198,7 @@ Note that the `test_cloudtrail_ae_e2e` benchmarks measure performance of a pipel
 You can use the same Dev container created here to run the Production DFP benchmarks. You would just need to install additional dependencies as follows:
 
 ```bash
-export CUDA_VER=11.8
-mamba install -n base -c conda-forge conda-merge
-conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml \
-  docker/conda/environments/cuda${CUDA_VER}_examples.yml > .tmp/merged.yml \
-  && mamba env update -n ${CONDA_DEFAULT_ENV} --file .tmp/merged.yml
-
-```
\ No newline at end of file
+mamba env update \
+  -n ${CONDA_DEFAULT_ENV} \
+  --file ./conda/environments/examples_cuda-121_arch-x86_64.yaml
+```
diff --git a/tests/benchmarks/conftest.py b/tests/benchmarks/conftest.py
index 83b57698ac..f051218193 100644
--- a/tests/benchmarks/conftest.py
+++ b/tests/benchmarks/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,30 +13,59 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import asyncio
 import glob
 import os
+import typing
+from unittest import mock
 
-import GPUtil
+import pytest
+from pynvml.smi import NVSMI_QUERY_GPU
+from pynvml.smi import nvidia_smi
 from test_bench_e2e_pipelines import E2E_TEST_CONFIGS
 
 
 # pylint: disable=unused-argument
 def pytest_benchmark_update_json(config, benchmarks, output_json):
 
-    gpus = GPUtil.getGPUs()
+    query_opts = NVSMI_QUERY_GPU.copy()
+    nvsmi = nvidia_smi.getInstance()
+    device_query = nvsmi.DeviceQuery([
+        query_opts["driver_version"],
+        query_opts["count"],
+        query_opts["index"],
+        query_opts["gpu_name"],
+        query_opts["gpu_uuid"],
+        query_opts["memory.total"],
+        query_opts["memory.used"],
+        query_opts["memory.free"],
+        query_opts["utilization.gpu"],
+        query_opts["utilization.memory"],
+        query_opts["temperature.gpu"]
+    ])
 
-    for i, gpu in enumerate(gpus):
-        # output_json["machine_info"]["gpu_" + str(i)] = gpu.name
-        output_json["machine_info"]["gpu_" + str(i)] = {}
-        output_json["machine_info"]["gpu_" + str(i)]["id"] = gpu.id
-        output_json["machine_info"]["gpu_" + str(i)]["name"] = gpu.name
-        output_json["machine_info"]["gpu_" + str(i)]["load"] = f"{gpu.load*100}%"
-        output_json["machine_info"]["gpu_" + str(i)]["free_memory"] = f"{gpu.memoryFree}MB"
-        output_json["machine_info"]["gpu_" + str(i)]["used_memory"] = f"{gpu.memoryUsed}MB"
-        output_json["machine_info"]["gpu_" + str(i)]["temperature"] = f"{gpu.temperature} C"
-        output_json["machine_info"]["gpu_" + str(i)]["uuid"] = gpu.uuid
+    output_json["machine_info"]["gpu_driver_version"] = device_query["driver_version"]
+
+    for gpu in device_query["gpu"]:
+        gpu_num = gpu["minor_number"]
+        output_json["machine_info"]["gpu_" + gpu_num] = {}
+        output_json["machine_info"]["gpu_" + gpu_num]["id"] = gpu_num
+        output_json["machine_info"]["gpu_" + gpu_num]["name"] = gpu["product_name"]
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["utilization"] = f"{gpu['utilization']['gpu_util']}{gpu['utilization']['unit']}"
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["total_memory"] = f"{gpu['fb_memory_usage']['total']} {gpu['fb_memory_usage']['unit']}"
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["used_memory"] = f"{gpu['fb_memory_usage']['used']} {gpu['fb_memory_usage']['unit']}"
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["free_memory"] = f"{gpu['fb_memory_usage']['free']} {gpu['fb_memory_usage']['unit']}"
+        output_json["machine_info"][
+            "gpu_" + gpu_num]["temperature"] = f"{gpu['temperature']['gpu_temp']} {gpu['temperature']['unit']}"
+        output_json["machine_info"]["gpu_" + gpu_num]["uuid"] = gpu["uuid"]
 
     for bench in output_json['benchmarks']:
+        if bench["name"] not in E2E_TEST_CONFIGS:
+            continue
 
         line_count = 0
         byte_count = 0
@@ -70,3 +99,66 @@ def pytest_benchmark_update_json(config, benchmarks, output_json):
         bench['stats']['max_throughput_bytes'] = (byte_count * repeat) / bench['stats']['min']
         bench['stats']['mean_throughput_bytes'] = (byte_count * repeat) / bench['stats']['mean']
         bench['stats']['median_throughput_bytes'] = (byte_count * repeat) / bench['stats']['median']
+
+
+@pytest.fixture(name="mock_openai_request_time")
+def mock_openai_request_time_fixture():
+    return float(os.environ.get("MOCK_OPENAI_REQUEST_TIME", 1.265))
+
+
+@pytest.fixture(name="mock_nemollm_request_time")
+def mock_nemollm_request_time_fixture():
+    return float(os.environ.get("MOCK_NEMOLLM_REQUEST_TIME", 0.412))
+
+
+@pytest.fixture(name="mock_web_scraper_request_time")
+def mock_web_scraper_request_time_fixture():
+    return float(os.environ.get("MOCK_WEB_SCRAPER_REQUEST_TIME", 0.5))
+
+
+@pytest.fixture(name="mock_feedparser_request_time")
+def mock_feedparser_request_time_fixture():
+    return float(os.environ.get("MOCK_FEEDPARSER_REQUEST_TIME", 0.5))
+
+
+@pytest.fixture(name="mock_serpapi_request_time")
+def mock_serpapi_request_time_fixture():
+    return float(os.environ.get("MOCK_SERPAPI_REQUEST_TIME", 1.7))
+
+
+@pytest.mark.usefixtures("openai")
+@pytest.fixture(name="mock_chat_completion")
+def mock_chat_completion_fixture(mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock],
+                                 mock_openai_request_time: float):
+    (mock_client, mock_async_client) = mock_chat_completion
+
+    async def sleep_first(*args, **kwargs):
+        # Sleep time is based on average request time
+        await asyncio.sleep(mock_openai_request_time)
+        return mock.DEFAULT
+
+    mock_async_client.chat.completions.create.side_effect = sleep_first
+    mock_client.chat.completions.create.side_effect = sleep_first
+
+    yield (mock_client, mock_async_client)
+
+
+@pytest.mark.usefixtures("nemollm")
+@pytest.fixture(name="mock_nemollm")
+def mock_nemollm_fixture(mock_nemollm: mock.MagicMock, mock_nemollm_request_time: float):
+
+    # The generate function is a blocking call that returns a future when return_type="async"
+    async def sleep_first(fut: asyncio.Future, value: typing.Any = mock.DEFAULT):
+        # Sleep time is based on average request time
+        await asyncio.sleep(mock_nemollm_request_time)
+        fut.set_result(value)
+
+    def create_future(*args, **kwargs) -> asyncio.Future:
+        event_loop = asyncio.get_event_loop()
+        fut = event_loop.create_future()
+        event_loop.create_task(sleep_first(fut, mock.DEFAULT))
+        return fut
+
+    mock_nemollm.generate.side_effect = create_future
+
+    yield mock_nemollm
diff --git a/tests/benchmarks/static_message_source.py b/tests/benchmarks/static_message_source.py
index 076f865e41..fccd7a895a 100644
--- a/tests/benchmarks/static_message_source.py
+++ b/tests/benchmarks/static_message_source.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/benchmarks/test_bench_agents_simple_pipeline.py b/tests/benchmarks/test_bench_agents_simple_pipeline.py
new file mode 100644
index 0000000000..95bf6e3619
--- /dev/null
+++ b/tests/benchmarks/test_bench_agents_simple_pipeline.py
@@ -0,0 +1,174 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import asyncio
+import collections.abc
+import os
+import typing
+from unittest import mock
+
+import langchain
+import pytest
+from langchain.agents import AgentType
+from langchain.agents import initialize_agent
+from langchain.agents import load_tools
+from langchain.agents.tools import Tool
+from langchain.utilities import serpapi
+
+import cudf
+
+from morpheus.config import Config
+from morpheus.llm import LLMEngine
+from morpheus.llm.nodes.extracter_node import ExtracterNode
+from morpheus.llm.nodes.langchain_agent_node import LangChainAgentNode
+from morpheus.llm.task_handlers.simple_task_handler import SimpleTaskHandler
+from morpheus.messages import ControlMessage
+from morpheus.pipeline.linear_pipeline import LinearPipeline
+from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
+from morpheus.stages.llm.llm_engine_stage import LLMEngineStage
+from morpheus.stages.output.in_memory_sink_stage import InMemorySinkStage
+from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
+
+
+def _build_agent_executor(model_name: str):
+
+    llm = langchain.OpenAI(model=model_name, temperature=0, cache=False)
+
+    # Explicitly construct the serpapi tool, loading it via load_tools makes it too difficult to mock
+    tools = [
+        Tool(
+            name="Search",
+            description="",
+            func=serpapi.SerpAPIWrapper().run,
+            coroutine=serpapi.SerpAPIWrapper().arun,
+        )
+    ]
+    tools.extend(load_tools(["llm-math"], llm=llm))
+
+    agent_executor = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
+
+    return agent_executor
+
+
+def _build_engine(model_name: str):
+
+    engine = LLMEngine()
+
+    engine.add_node("extracter", node=ExtracterNode())
+
+    engine.add_node("agent",
+                    inputs=[("/extracter")],
+                    node=LangChainAgentNode(agent_executor=_build_agent_executor(model_name=model_name)))
+
+    engine.add_task_handler(inputs=["/agent"], handler=SimpleTaskHandler())
+
+    return engine
+
+
+def _run_pipeline(config: Config, source_dfs: list[cudf.DataFrame], model_name: str = "test_model"):
+    completion_task = {"task_type": "completion", "task_dict": {"input_keys": ["questions"]}}
+
+    pipe = LinearPipeline(config)
+
+    pipe.set_source(InMemorySourceStage(config, dataframes=source_dfs))
+
+    pipe.add_stage(
+        DeserializeStage(config, message_type=ControlMessage, task_type="llm_engine", task_payload=completion_task))
+
+    pipe.add_stage(LLMEngineStage(config, engine=_build_engine(model_name=model_name)))
+
+    pipe.add_stage(InMemorySinkStage(config))
+
+    pipe.run()
+
+
+@pytest.mark.usefixtures("openai", "restore_environ")
+@pytest.mark.use_python
+@pytest.mark.benchmark
+@mock.patch("langchain.utilities.serpapi.SerpAPIWrapper.aresults")
+@mock.patch("langchain.OpenAI._agenerate", autospec=True)  # autospec is needed as langchain will inspect the function
+def test_agents_simple_pipe(mock_openai_agenerate: mock.AsyncMock,
+                            mock_serpapi_aresults: mock.AsyncMock,
+                            mock_openai_request_time: float,
+                            mock_serpapi_request_time: float,
+                            benchmark: collections.abc.Callable[[collections.abc.Callable], typing.Any],
+                            config: Config):
+    os.environ.update({'OPENAI_API_KEY': 'test_api_key', 'SERPAPI_API_KEY': 'test_api_key'})
+
+    from langchain.schema import Generation
+    from langchain.schema import LLMResult
+
+    assert serpapi.SerpAPIWrapper().aresults is mock_serpapi_aresults
+
+    model_name = "test_model"
+
+    mock_responses = [
+        LLMResult(generations=[[
+            Generation(text="I should use a search engine to find information about unittests.\n"
+                       "Action: Search\nAction Input: \"unittests\"",
+                       generation_info={
+                           'finish_reason': 'stop', 'logprobs': None
+                       })
+        ]],
+                  llm_output={
+                      'token_usage': {}, 'model_name': model_name
+                  }),
+        LLMResult(generations=[[
+            Generation(text="I now know the final answer.\nFinal Answer: 3.99.",
+                       generation_info={
+                           'finish_reason': 'stop', 'logprobs': None
+                       })
+        ]],
+                  llm_output={
+                      'token_usage': {}, 'model_name': model_name
+                  })
+    ]
+
+    async def _mock_openai_agenerate(self, *args, **kwargs):  # pylint: disable=unused-argument
+        nonlocal mock_responses
+        call_count = getattr(self, '_unittest_call_count', 0)
+        response = mock_responses[call_count % 2]
+
+        # The OpenAI object will raise a ValueError if we attempt to set the attribute directly or use setattr
+        self.__dict__['_unittest_call_count'] = call_count + 1
+        await asyncio.sleep(mock_openai_request_time)
+        return response
+
+    mock_openai_agenerate.side_effect = _mock_openai_agenerate
+
+    async def _mock_serpapi_aresults(*args, **kwargs):  # pylint: disable=unused-argument
+        await asyncio.sleep(mock_serpapi_request_time)
+        return {
+            'answer_box': {
+                'answer': '25 years', 'link': 'http://unit.test', 'people_also_search_for': []
+            },
+            'inline_people_also_search_for': [],
+            'knowledge_graph': {},
+            'organic_results': [],
+            'pagination': {},
+            'related_questions': [],
+            'related_searches': [],
+            'search_information': {},
+            'search_metadata': {},
+            'search_parameters': {},
+            'serpapi_pagination': None
+        }
+
+    mock_serpapi_aresults.side_effect = _mock_serpapi_aresults
+
+    source_df = cudf.DataFrame(
+        {"questions": ["Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?"]})
+
+    benchmark(_run_pipeline, config, source_dfs=[source_df], model_name=model_name)
diff --git a/tests/benchmarks/test_bench_completion_pipeline.py b/tests/benchmarks/test_bench_completion_pipeline.py
new file mode 100644
index 0000000000..55cdb9243e
--- /dev/null
+++ b/tests/benchmarks/test_bench_completion_pipeline.py
@@ -0,0 +1,87 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import collections.abc
+import typing
+
+import pytest
+
+import cudf
+
+from _utils.dataset_manager import DatasetManager
+from morpheus.config import Config
+from morpheus.llm import LLMEngine
+from morpheus.llm.nodes.extracter_node import ExtracterNode
+from morpheus.llm.nodes.llm_generate_node import LLMGenerateNode
+from morpheus.llm.nodes.prompt_template_node import PromptTemplateNode
+from morpheus.llm.services.llm_service import LLMService
+from morpheus.llm.services.nemo_llm_service import NeMoLLMService
+from morpheus.llm.services.openai_chat_service import OpenAIChatService
+from morpheus.llm.task_handlers.simple_task_handler import SimpleTaskHandler
+from morpheus.messages import ControlMessage
+from morpheus.pipeline.linear_pipeline import LinearPipeline
+from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
+from morpheus.stages.llm.llm_engine_stage import LLMEngineStage
+from morpheus.stages.output.in_memory_sink_stage import InMemorySinkStage
+from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
+
+
+def _build_engine(llm_service_cls: type[LLMService], model_name: str = "test_model"):
+    llm_service = llm_service_cls()
+    llm_client = llm_service.get_client(model_name=model_name)
+
+    engine = LLMEngine()
+    engine.add_node("extracter", node=ExtracterNode())
+    engine.add_node("prompts",
+                    inputs=["/extracter"],
+                    node=PromptTemplateNode(template="What is the capital of {{country}}?", template_format="jinja"))
+    engine.add_node("completion", inputs=["/prompts"], node=LLMGenerateNode(llm_client=llm_client))
+    engine.add_task_handler(inputs=["/completion"], handler=SimpleTaskHandler())
+
+    return engine
+
+
+def _run_pipeline(config: Config,
+                  llm_service_cls: type[LLMService],
+                  source_df: cudf.DataFrame,
+                  model_name: str = "test_model") -> dict:
+    """
+    Loosely patterned after `examples/llm/completion`
+    """
+    completion_task = {"task_type": "completion", "task_dict": {"input_keys": ["country"]}}
+
+    pipe = LinearPipeline(config)
+
+    pipe.set_source(InMemorySourceStage(config, dataframes=[source_df]))
+
+    pipe.add_stage(
+        DeserializeStage(config, message_type=ControlMessage, task_type="llm_engine", task_payload=completion_task))
+
+    pipe.add_stage(LLMEngineStage(config, engine=_build_engine(llm_service_cls, model_name=model_name)))
+    pipe.add_stage(InMemorySinkStage(config))
+
+    pipe.run()
+
+
+@pytest.mark.use_cudf
+@pytest.mark.use_python
+@pytest.mark.benchmark
+@pytest.mark.usefixtures("mock_nemollm", "mock_chat_completion")
+@pytest.mark.parametrize("llm_service_cls", [NeMoLLMService, OpenAIChatService])
+def test_completion_pipe(benchmark: collections.abc.Callable[[collections.abc.Callable], typing.Any],
+                         config: Config,
+                         dataset: DatasetManager,
+                         llm_service_cls: type[LLMService]):
+    benchmark(_run_pipeline, config, llm_service_cls, source_df=dataset["countries.csv"])
diff --git a/tests/benchmarks/test_bench_e2e_pipelines.py b/tests/benchmarks/test_bench_e2e_pipelines.py
index 746fa555b0..14283cf154 100644
--- a/tests/benchmarks/test_bench_e2e_pipelines.py
+++ b/tests/benchmarks/test_bench_e2e_pipelines.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/benchmarks/test_bench_monitor_stage.py b/tests/benchmarks/test_bench_monitor_stage.py
index bfccd50daa..7af2406acc 100644
--- a/tests/benchmarks/test_bench_monitor_stage.py
+++ b/tests/benchmarks/test_bench_monitor_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -51,7 +51,7 @@ def test_monitor_stage(benchmark, num_messages):
 
     # Test Data
 
-    df = cudf.DataFrame({"value": [x for x in range(0, num_messages)]})
+    df = cudf.DataFrame({"value": list(range(0, num_messages))})
 
     # Configuration
 
diff --git a/tests/benchmarks/test_bench_rag_standalone_pipeline.py b/tests/benchmarks/test_bench_rag_standalone_pipeline.py
new file mode 100644
index 0000000000..b09d4b624d
--- /dev/null
+++ b/tests/benchmarks/test_bench_rag_standalone_pipeline.py
@@ -0,0 +1,156 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Benchmark the examples/llm/rag/standalone_pipeline.py example"""
+
+import collections.abc
+import os
+import types
+import typing
+
+import pytest
+
+import cudf
+
+from _utils import TEST_DIRS
+from _utils.dataset_manager import DatasetManager
+from _utils.milvus import populate_milvus
+from morpheus.config import Config
+from morpheus.config import PipelineModes
+from morpheus.llm import LLMEngine
+from morpheus.llm.nodes.extracter_node import ExtracterNode
+from morpheus.llm.nodes.rag_node import RAGNode
+from morpheus.llm.task_handlers.simple_task_handler import SimpleTaskHandler
+from morpheus.messages import ControlMessage
+from morpheus.pipeline.linear_pipeline import LinearPipeline
+from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
+from morpheus.stages.llm.llm_engine_stage import LLMEngineStage
+from morpheus.stages.output.in_memory_sink_stage import InMemorySinkStage
+from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
+
+EMBEDDING_SIZE = 384
+QUESTION = "What are some new attacks discovered in the cyber security industry?"
+PROMPT = """You are a helpful assistant. Given the following background information:\n
+{% for c in contexts -%}
+Title: {{ c.title }}
+Summary: {{ c.summary }}
+Text: {{ c.page_content }}
+{% endfor %}
+
+Please answer the following question: \n{{ query }}"""
+EXPECTED_RESPONSE = "Ransomware, Phishing, Malware, Denial of Service, SQL injection, and Password Attacks"
+
+
+def _build_engine(llm_service_name: str,
+                  model_name: str,
+                  milvus_server_uri: str,
+                  collection_name: str,
+                  utils_mod: types.ModuleType):
+    engine = LLMEngine()
+    engine.add_node("extracter", node=ExtracterNode())
+
+    vector_service = utils_mod.build_milvus_service(embedding_size=EMBEDDING_SIZE, uri=milvus_server_uri)
+    embeddings = utils_mod.build_huggingface_embeddings("sentence-transformers/all-MiniLM-L6-v2",
+                                                        model_kwargs={'device': 'cuda'},
+                                                        encode_kwargs={'batch_size': 100})
+
+    llm_service = utils_mod.build_llm_service(model_name=model_name,
+                                              llm_service=llm_service_name,
+                                              temperature=0.5,
+                                              tokens_to_generate=200)
+
+    # Async wrapper around embeddings
+    async def calc_embeddings(texts: list[str]) -> list[list[float]]:
+        return embeddings.embed_documents(texts)
+
+    engine.add_node("rag",
+                    inputs=["/extracter"],
+                    node=RAGNode(prompt=PROMPT,
+                                 vdb_service=vector_service.load_resource(collection_name),
+                                 embedding=calc_embeddings,
+                                 llm_client=llm_service))
+
+    engine.add_task_handler(inputs=["/rag"], handler=SimpleTaskHandler())
+
+    return engine
+
+
+def _run_pipeline(config: Config,
+                  llm_service_name: str,
+                  model_name: str,
+                  milvus_server_uri: str,
+                  collection_name: str,
+                  repeat_count: int,
+                  utils_mod: types.ModuleType):
+
+    config.mode = PipelineModes.NLP
+    config.edge_buffer_size = 128
+    config.pipeline_batch_size = 1024
+    config.model_max_batch_size = 64
+
+    questions = [QUESTION] * repeat_count
+    source_df = cudf.DataFrame({"questions": questions})
+
+    completion_task = {"task_type": "completion", "task_dict": {"input_keys": ["questions"], }}
+    pipe = LinearPipeline(config)
+
+    pipe.set_source(InMemorySourceStage(config, dataframes=[source_df]))
+
+    pipe.add_stage(
+        DeserializeStage(config, message_type=ControlMessage, task_type="llm_engine", task_payload=completion_task))
+
+    pipe.add_stage(
+        LLMEngineStage(config,
+                       engine=_build_engine(llm_service_name=llm_service_name,
+                                            model_name=model_name,
+                                            milvus_server_uri=milvus_server_uri,
+                                            collection_name=collection_name,
+                                            utils_mod=utils_mod)))
+    pipe.add_stage(InMemorySinkStage(config))
+
+    pipe.run()
+
+
+@pytest.mark.milvus
+@pytest.mark.use_python
+@pytest.mark.use_cudf
+@pytest.mark.benchmark
+@pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'llm/common/utils.py'))
+@pytest.mark.usefixtures("mock_nemollm", "mock_chat_completion")
+@pytest.mark.parametrize("llm_service_name", ["nemollm", "openai"])
+@pytest.mark.parametrize("repeat_count", [10, 100])
+def test_rag_standalone_pipe(benchmark: collections.abc.Callable[[collections.abc.Callable], typing.Any],
+                             config: Config,
+                             dataset: DatasetManager,
+                             milvus_server_uri: str,
+                             repeat_count: int,
+                             import_mod: types.ModuleType,
+                             llm_service_name: str):
+    collection_name = f"test_bench_rag_standalone_pipe_{llm_service_name}"
+    populate_milvus(milvus_server_uri=milvus_server_uri,
+                    collection_name=collection_name,
+                    resource_kwargs=import_mod.build_milvus_config(embedding_size=EMBEDDING_SIZE),
+                    df=dataset["service/milvus_rss_data.json"],
+                    overwrite=True)
+
+    benchmark(
+        _run_pipeline,
+        config=config,
+        llm_service_name=llm_service_name,
+        model_name="test_model",
+        milvus_server_uri=milvus_server_uri,
+        collection_name=collection_name,
+        repeat_count=repeat_count,
+        utils_mod=import_mod,
+    )
diff --git a/tests/benchmarks/test_bench_serialize_stage.py b/tests/benchmarks/test_bench_serialize_stage.py
index a77e7beba5..396b5532a2 100644
--- a/tests/benchmarks/test_bench_serialize_stage.py
+++ b/tests/benchmarks/test_bench_serialize_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,7 +14,6 @@
 # limitations under the License.
 
 import logging
-import typing
 
 import pytest
 from static_message_source import StaticMessageSource
@@ -30,9 +29,7 @@
 from morpheus.utils.logger import configure_logging
 
 
-def build_and_run_pipeline(config: Config,
-                           df: cudf.DataFrame,
-                           output_type: typing.Literal["pandas", "cudf", "json", "csv"]):
+def build_and_run_pipeline(config: Config, df: cudf.DataFrame):
     # Pipeline
     pipeline = LinearPipeline(config)
 
@@ -49,12 +46,11 @@ def build_and_run_pipeline(config: Config,
 
 @pytest.mark.benchmark
 @pytest.mark.parametrize("num_messages", [1, 100, 10000])
-@pytest.mark.parametrize("output_type", ["json", "csv"])
-def test_monitor_stage(benchmark, num_messages, output_type):
+def test_monitor_stage(benchmark, num_messages):
 
     # Test Data
 
-    df = cudf.DataFrame({"value": [x for x in range(0, num_messages)]})
+    df = cudf.DataFrame({"value": list(range(0, num_messages))})
 
     # Configuration
 
@@ -74,4 +70,4 @@ def test_monitor_stage(benchmark, num_messages, output_type):
     config.edge_buffer_size = 4
 
     # would prefer to benchmark just pipeline.run, but it asserts when called multiple times
-    benchmark(build_and_run_pipeline, config, df, output_type)
+    benchmark(build_and_run_pipeline, config, df)
diff --git a/tests/benchmarks/test_bench_vdb_upload_pipeline.py b/tests/benchmarks/test_bench_vdb_upload_pipeline.py
new file mode 100644
index 0000000000..d54c536780
--- /dev/null
+++ b/tests/benchmarks/test_bench_vdb_upload_pipeline.py
@@ -0,0 +1,139 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+Benchmark the examples/llm/vdb_upload/pipeline.py example, talking with live Triton and Milvus servers, but mocked
+RSS and web scraper responses."""
+
+import collections.abc
+import json
+import os
+import time
+import types
+import typing
+from unittest import mock
+
+import pytest
+
+from _utils import TEST_DIRS
+from morpheus.config import Config
+from morpheus.config import PipelineModes
+from morpheus.pipeline.linear_pipeline import LinearPipeline
+from morpheus.stages.inference.triton_inference_stage import TritonInferenceStage
+from morpheus.stages.input.rss_source_stage import RSSSourceStage
+from morpheus.stages.output.write_to_vector_db_stage import WriteToVectorDBStage
+from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
+from morpheus.stages.preprocess.preprocess_nlp_stage import PreprocessNLPStage
+
+EMBEDDING_SIZE = 384
+MODEL_MAX_BATCH_SIZE = 64
+MODEL_FEA_LENGTH = 512
+
+
+def _run_pipeline(config: Config,
+                  milvus_server_uri: str,
+                  collection_name: str,
+                  rss_urls: list[str],
+                  utils_mod: types.ModuleType,
+                  web_scraper_stage_mod: types.ModuleType):
+
+    config.mode = PipelineModes.NLP
+    config.pipeline_batch_size = 1024
+    config.model_max_batch_size = MODEL_MAX_BATCH_SIZE
+    config.feature_length = MODEL_FEA_LENGTH
+    config.edge_buffer_size = 128
+    config.class_labels = [str(i) for i in range(EMBEDDING_SIZE)]
+
+    pipe = LinearPipeline(config)
+
+    pipe.set_source(
+        RSSSourceStage(config, feed_input=rss_urls, batch_size=128, run_indefinitely=False, enable_cache=False))
+    pipe.add_stage(web_scraper_stage_mod.WebScraperStage(config, chunk_size=MODEL_FEA_LENGTH, enable_cache=False))
+    pipe.add_stage(DeserializeStage(config))
+
+    pipe.add_stage(
+        PreprocessNLPStage(config,
+                           vocab_hash_file=os.path.join(TEST_DIRS.data_dir, 'bert-base-uncased-hash.txt'),
+                           do_lower_case=True,
+                           truncation=True,
+                           add_special_tokens=False,
+                           column='page_content'))
+
+    pipe.add_stage(
+        TritonInferenceStage(config,
+                             model_name='all-MiniLM-L6-v2',
+                             server_url='localhost:8001',
+                             force_convert_inputs=True))
+
+    pipe.add_stage(
+        WriteToVectorDBStage(config,
+                             resource_name=collection_name,
+                             resource_kwargs=utils_mod.build_milvus_config(embedding_size=EMBEDDING_SIZE),
+                             recreate=True,
+                             service="milvus",
+                             uri=milvus_server_uri))
+    pipe.run()
+
+
+@pytest.mark.milvus
+@pytest.mark.use_python
+@pytest.mark.use_pandas
+@pytest.mark.benchmark
+@pytest.mark.import_mod([
+    os.path.join(TEST_DIRS.examples_dir, 'llm/common/utils.py'),
+    os.path.join(TEST_DIRS.examples_dir, 'llm/common/web_scraper_stage.py'),
+])
+@mock.patch('feedparser.http.get')
+@mock.patch('requests.Session')
+def test_vdb_upload_pipe(mock_requests_session: mock.MagicMock,
+                         mock_feedparser_http_get: mock.MagicMock,
+                         mock_web_scraper_request_time: float,
+                         mock_feedparser_request_time: float,
+                         benchmark: collections.abc.Callable[[collections.abc.Callable], typing.Any],
+                         config: Config,
+                         milvus_server_uri: str,
+                         import_mod: list[types.ModuleType]):
+
+    with open(os.path.join(TEST_DIRS.tests_data_dir, 'service/cisa_web_responses.json'), encoding='utf-8') as fh:
+        web_responses = json.load(fh)
+
+    def mock_get_fn(url: str):
+        mock_response = mock.MagicMock()
+        mock_response.ok = True
+        mock_response.status_code = 200
+        mock_response.text = web_responses[url]
+        time.sleep(mock_web_scraper_request_time)
+        return mock_response
+
+    mock_requests_session.return_value = mock_requests_session
+    mock_requests_session.get.side_effect = mock_get_fn
+
+    def mock_feedparser_http_get_fn(*args, **kwargs):  # pylint: disable=unused-argument
+        time.sleep(mock_feedparser_request_time)
+        # The RSS Parser expects a bytes string
+        with open(os.path.join(TEST_DIRS.tests_data_dir, 'service/cisa_rss_feed.xml'), 'rb') as fh:
+            return fh.read()
+
+    mock_feedparser_http_get.side_effect = mock_feedparser_http_get_fn
+
+    (utils_mod, web_scraper_stage_mod) = import_mod
+    collection_name = "test_bench_vdb_upload_pipeline"
+
+    benchmark(_run_pipeline,
+              config=config,
+              milvus_server_uri=milvus_server_uri,
+              collection_name=collection_name,
+              rss_urls=["https://www.us-cert.gov/ncas/current-activity.xml"],
+              utils_mod=utils_mod,
+              web_scraper_stage_mod=web_scraper_stage_mod)
diff --git a/tests/common/test_determine_file_type.py b/tests/common/test_determine_file_type.py
new file mode 100644
index 0000000000..d3e71af72b
--- /dev/null
+++ b/tests/common/test_determine_file_type.py
@@ -0,0 +1,32 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pathlib
+
+import pytest
+
+from morpheus.common import FileTypes
+from morpheus.common import determine_file_type
+
+
+@pytest.mark.parametrize("use_pathlib", [False, True])
+@pytest.mark.parametrize("ext, expected_result",
+                         [("csv", FileTypes.CSV), ("json", FileTypes.JSON), ("jsonlines", FileTypes.JSON),
+                          ("parquet", FileTypes.PARQUET)])
+def test_determine_file_type(ext: str, expected_result: FileTypes, use_pathlib: bool):
+    file_path = f"test.{ext}"
+    if use_pathlib:
+        file_path = pathlib.Path(file_path)
+
+    assert determine_file_type(file_path) == expected_result
diff --git a/tests/common/test_fiber_queue.py b/tests/common/test_fiber_queue.py
index 8af7e57404..6cc33de3a9 100644
--- a/tests/common/test_fiber_queue.py
+++ b/tests/common/test_fiber_queue.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/common/test_http_server.py b/tests/common/test_http_server.py
index 322d64d687..26eeb8adbb 100644
--- a/tests/common/test_http_server.py
+++ b/tests/common/test_http_server.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -35,6 +35,7 @@ def make_parse_fn(status: HTTPStatus = HTTPStatus.OK,
     return mock_parse_fn
 
 
+@pytest.mark.slow
 @pytest.mark.parametrize("endpoint", ["/test", "test/", "/a/b/c/d"])
 @pytest.mark.parametrize("port", [8088, 9090])
 @pytest.mark.parametrize("method", ["GET", "POST", "PUT"])
diff --git a/tests/conftest.py b/tests/conftest.py
index 90371fc690..0a33fa7891 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,10 +25,12 @@
 import types
 import typing
 import warnings
+from unittest import mock
 
 import pytest
 import requests
 
+from _utils import import_or_skip
 from _utils.kafka import _init_pytest_kafka
 from _utils.kafka import kafka_bootstrap_servers_fixture  # noqa: F401 pylint:disable=unused-import
 from _utils.kafka import kafka_consumer_fixture  # noqa: F401 pylint:disable=unused-import
@@ -528,7 +530,7 @@ def disable_gc():
     gc.enable()
 
 
-def wait_for_camouflage(host="localhost", port=8000, timeout=10):
+def wait_for_camouflage(host="localhost", port=8000, timeout=30):
 
     start_time = time.time()
     cur_time = start_time
@@ -575,11 +577,12 @@ def prctl_fn():
     return prctl_fn
 
 
-def _start_camouflage(root_dir: str,
-                      host: str = "localhost",
-                      port: int = 8000) -> typing.Tuple[bool, typing.Optional[subprocess.Popen]]:
+def _start_camouflage(
+        root_dir: str,
+        host: str = "localhost",
+        port: int = 8000) -> typing.Tuple[bool, typing.Optional[subprocess.Popen], typing.Optional[typing.IO]]:
     logger = logging.getLogger(f"morpheus.{__name__}")
-    startup_timeout = 10
+    startup_timeout = 30
 
     launch_camouflage = os.environ.get('MORPHEUS_NO_LAUNCH_CAMOUFLAGE') is None
     is_running = False
@@ -596,47 +599,58 @@ def _start_camouflage(root_dir: str,
     # Actually launch camoflague
     if launch_camouflage:
         popen = None
+        console_log_fh = None
         try:
             # pylint: disable=subprocess-popen-preexec-fn,consider-using-with
+            # We currently don't have control over camouflage's console logger
+            # https://github.com/testinggospels/camouflage/issues/244
+            console_log = os.path.join(root_dir, 'console.log')
+            camouflage_log = os.path.join(root_dir, 'camouflage.log')
+            console_log_fh = open(console_log, 'w', encoding='utf-8')
             popen = subprocess.Popen(["camouflage", "--config", "config.yml"],
                                      cwd=root_dir,
-                                     stderr=subprocess.DEVNULL,
-                                     stdout=subprocess.DEVNULL,
+                                     stderr=subprocess.STDOUT,
+                                     stdout=console_log_fh,
                                      preexec_fn=_set_pdeathsig(signal.SIGTERM))
             # pylint: enable=subprocess-popen-preexec-fn,consider-using-with
 
             logger.info("Launched camouflage in %s with pid: %s", root_dir, popen.pid)
 
             def read_logs():
-                camouflage_log = os.path.join(root_dir, 'camouflage.log')
-                if os.path.exists(camouflage_log):
-                    with open(camouflage_log, 'r', encoding='utf-8') as f:
-                        return f.read()
-                return ""
+                for log_file in (console_log, camouflage_log):
+                    if os.path.exists(log_file):
+                        with open(log_file, 'r', encoding='utf-8') as f:
+                            logger.error("%s:\n%s", log_file, f.read())
+                            # We only need to display the first log file that exists
+                            return
 
             if not wait_for_camouflage(host=host, port=port, timeout=startup_timeout):
+                if console_log_fh is not None:
+                    console_log_fh.close()
+
+                read_logs()
 
                 if popen.poll() is not None:
-                    raise RuntimeError(f"camouflage server exited with status code={popen.poll()}\n{read_logs()}")
+                    raise RuntimeError(f"camouflage server exited with status code={popen.poll()}")
 
-                raise RuntimeError(f"Failed to launch camouflage server\n{read_logs()}")
+                raise RuntimeError("Failed to launch camouflage server")
 
             # Must have been started by this point
-            return (True, popen)
+            return (True, popen, console_log_fh)
 
         except Exception:
             # Log the error and rethrow
             logger.exception("Error launching camouflage")
             if popen is not None:
-                _stop_camouflage(popen)
+                _stop_camouflage(popen, console_log_fh=console_log_fh)
             raise
 
     else:
 
-        return (is_running, None)
+        return (is_running, None, None)
 
 
-def _stop_camouflage(popen: subprocess.Popen, shutdown_timeout: int = 5):
+def _stop_camouflage(popen: subprocess.Popen, shutdown_timeout: int = 5, console_log_fh: typing.IO = None):
     logger = logging.getLogger(f"morpheus.{__name__}")
 
     logger.info("Killing camouflage with pid %s", popen.pid)
@@ -653,6 +667,9 @@ def _stop_camouflage(popen: subprocess.Popen, shutdown_timeout: int = 5):
             time.sleep(sleep_time)
             elapsed_time += sleep_time
 
+    if console_log_fh is not None:
+        console_log_fh.close()
+
 
 @pytest.fixture(scope="session")
 def _triton_camouflage_is_running():
@@ -670,10 +687,10 @@ def _triton_camouflage_is_running():
     from _utils import TEST_DIRS
 
     root_dir = TEST_DIRS.mock_triton_servers_dir
-    (is_running, popen) = _start_camouflage(root_dir=root_dir, port=8000)
+    (is_running, popen, console_log_fh) = _start_camouflage(root_dir=root_dir, port=8000)
     yield is_running
     if popen is not None:
-        _stop_camouflage(popen)
+        _stop_camouflage(popen, console_log_fh=console_log_fh)
 
 
 @pytest.fixture(scope="session")
@@ -692,11 +709,11 @@ def _rest_camouflage_is_running():
     from _utils import TEST_DIRS
 
     root_dir = TEST_DIRS.mock_rest_server
-    (is_running, popen) = _start_camouflage(root_dir=root_dir, port=8080)
+    (is_running, popen, console_log_fh) = _start_camouflage(root_dir=root_dir, port=8080)
 
     yield is_running
     if popen is not None:
-        _stop_camouflage(popen)
+        _stop_camouflage(popen, console_log_fh=console_log_fh)
 
 
 @pytest.fixture(scope="function")
@@ -1007,3 +1024,50 @@ def idx_part_collection_config_fixture():
 def simple_collection_config_fixture():
     from _utils import load_json_file
     yield load_json_file(filename="service/milvus_simple_collection_conf.json")
+
+
+@pytest.fixture(name="nemollm", scope='session')
+def nemollm_fixture(fail_missing: bool):
+    """
+    Fixture to ensure nemollm is installed
+    """
+    skip_reason = ("Tests for the NeMoLLMService require the nemollm package to be installed, to install this run:\n"
+                   "`conda env update --solver=libmamba -n morpheus "
+                   "--file conda/environments/dev_cuda-121_arch-x86_64.yaml --prune`")
+    yield import_or_skip("nemollm", reason=skip_reason, fail_missing=fail_missing)
+
+
+@pytest.fixture(name="openai", scope='session')
+def openai_fixture(fail_missing: bool):
+    """
+    Fixture to ensure openai is installed
+    """
+    skip_reason = ("Tests for the OpenAIChatService require the openai package to be installed, to install this run:\n"
+                   "`conda env update --solver=libmamba -n morpheus "
+                   "--file conda/environments/dev_cuda-121_arch-x86_64.yaml --prune`")
+    yield import_or_skip("openai", reason=skip_reason, fail_missing=fail_missing)
+
+
+@pytest.mark.usefixtures("openai")
+@pytest.fixture(name="mock_chat_completion")
+def mock_chat_completion_fixture():
+    from _utils.llm import mk_mock_openai_response
+    with (mock.patch("openai.OpenAI") as mock_client, mock.patch("openai.AsyncOpenAI") as mock_async_client):
+        mock_client.return_value = mock_client
+        mock_async_client.return_value = mock_async_client
+
+        mock_client.chat.completions.create.return_value = mk_mock_openai_response(['test_output'])
+        mock_async_client.chat.completions.create = mock.AsyncMock(
+            return_value=mk_mock_openai_response(['test_output']))
+        yield (mock_client, mock_async_client)
+
+
+@pytest.mark.usefixtures("nemollm")
+@pytest.fixture(name="mock_nemollm")
+def mock_nemollm_fixture():
+    with mock.patch("nemollm.NemoLLM", autospec=True) as mock_nemollm:
+        mock_nemollm.return_value = mock_nemollm
+        mock_nemollm.generate_multiple.return_value = ["test_output"]
+        mock_nemollm.post_process_generate_response.return_value = {"text": "test_output"}
+
+        yield mock_nemollm
diff --git a/tests/controllers/test_elasticsearch_controller.py b/tests/controllers/test_elasticsearch_controller.py
index dac43d5aee..903e4bf14f 100644
--- a/tests/controllers/test_elasticsearch_controller.py
+++ b/tests/controllers/test_elasticsearch_controller.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/controllers/test_rss_controller.py b/tests/controllers/test_rss_controller.py
index e388783fbe..dad981ad07 100644
--- a/tests/controllers/test_rss_controller.py
+++ b/tests/controllers/test_rss_controller.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,9 +19,10 @@
 from unittest.mock import patch
 
 import feedparser
-import pandas as pd
 import pytest
 
+import cudf
+
 from _utils import TEST_DIRS
 from morpheus.controllers.rss_controller import FeedStats
 from morpheus.controllers.rss_controller import RSSController
@@ -78,10 +79,12 @@ def test_run_indefinitely_false(feed_input: list[str]):
 
 
 @pytest.mark.parametrize("feed_input", test_urls)
-def test_parse_feed_valid_url(feed_input: list[str], mock_feed: feedparser.FeedParserDict):
+def test_parse_feed_valid_url(feed_input: list[str], mock_feed: feedparser.FeedParserDict, mock_get_response: Mock):
     controller = RSSController(feed_input=feed_input)
-    with patch("morpheus.controllers.rss_controller.feedparser.parse") as mock_feedparser_parse:
-        mock_feedparser_parse.return_value = mock_feed
+
+    patch("morpheus.controllers.rss_controller.feedparser.parse", return_value=mock_feed)
+
+    with patch("requests.Session.get", return_value=mock_get_response):
         feed = list(controller.parse_feeds())[0]
         assert feed.entries
 
@@ -97,7 +100,7 @@ def test_skip_duplicates_feed_inputs(feed_input: str, expected_count: int):
     controller = RSSController(feed_input=[feed_input, feed_input])  # Pass duplicate feed inputs
     dataframes_generator = controller.fetch_dataframes()
     dataframe = next(dataframes_generator, None)
-    assert isinstance(dataframe, pd.DataFrame)
+    assert isinstance(dataframe, cudf.DataFrame)
     assert len(dataframe) == expected_count
 
 
@@ -112,14 +115,17 @@ def test_is_url_false(feed_input: list[str]):
 
 
 @pytest.mark.parametrize("feed_input", [test_urls, test_urls[0]])
-def test_fetch_dataframes_url(feed_input: str | list[str], mock_feed: feedparser.FeedParserDict):
+def test_fetch_dataframes_url(feed_input: str | list[str],
+                              mock_feed: feedparser.FeedParserDict,
+                              mock_get_response: Mock):
     controller = RSSController(feed_input=feed_input)
 
-    with patch("morpheus.controllers.rss_controller.feedparser.parse") as mock_feedparser_parse:
-        mock_feedparser_parse.return_value = mock_feed
+    patch("morpheus.controllers.rss_controller.feedparser.parse", return_value=mock_feed)
+
+    with patch("requests.Session.get", return_value=mock_get_response):
         dataframes_generator = controller.fetch_dataframes()
         dataframe = next(dataframes_generator, None)
-        assert isinstance(dataframe, pd.DataFrame)
+        assert isinstance(dataframe, cudf.DataFrame)
         assert "link" in dataframe.columns
         assert len(dataframe) > 0
 
@@ -129,7 +135,7 @@ def test_fetch_dataframes_filepath(feed_input: str | list[str]):
     controller = RSSController(feed_input=feed_input)
     dataframes_generator = controller.fetch_dataframes()
     dataframe = next(dataframes_generator, None)
-    assert isinstance(dataframe, pd.DataFrame)
+    assert isinstance(dataframe, cudf.DataFrame)
     assert "link" in dataframe.columns
     assert len(dataframe) > 0
 
@@ -138,30 +144,19 @@ def test_fetch_dataframes_filepath(feed_input: str | list[str]):
 def test_batch_size(feed_input: list[str], batch_size: int):
     controller = RSSController(feed_input=feed_input, batch_size=batch_size)
     for df in controller.fetch_dataframes():
-        assert isinstance(df, pd.DataFrame)
+        assert isinstance(df, cudf.DataFrame)
         assert len(df) <= batch_size
 
 
-@pytest.mark.parametrize("feed_input, is_url, enable_cache", [(test_file_paths[0], False, False),
-                                                              (test_urls[0], True, True), (test_urls[0], True, False)])
-def test_try_parse_feed_with_beautiful_soup(feed_input: str, is_url: bool, enable_cache: bool, mock_get_response: Mock):
+@pytest.mark.parametrize("feed_input, enable_cache", [(test_file_paths[0], False), (test_urls[0], True),
+                                                      (test_urls[0], False)])
+def test_try_parse_feed_with_beautiful_soup(feed_input: str, enable_cache: bool, mock_get_response: Mock):
     controller = RSSController(feed_input=feed_input, enable_cache=enable_cache)
 
-    if is_url:
-        if enable_cache:
-            with patch("morpheus.controllers.rss_controller.requests_cache.CachedSession.get") as mock_get:
-                mock_get.return_value = mock_get_response
-                feed_data = controller._try_parse_feed_with_beautiful_soup(feed_input, is_url)
-        else:
-            with patch("morpheus.controllers.rss_controller.requests.get") as mock_get:
-                mock_get.return_value = mock_get_response
-                feed_data = controller._try_parse_feed_with_beautiful_soup(feed_input, is_url)
-
-    else:
-        feed_data = controller._try_parse_feed_with_beautiful_soup(feed_input, is_url)
+    # When enable_cache is set to 'True', the feed content is provided as input.
+    feed_data = controller._try_parse_feed_with_beautiful_soup(mock_get_response.text)
 
     assert isinstance(feed_data, feedparser.FeedParserDict)
-
     assert len(feed_data.entries) > 0
 
     for entry in feed_data.entries:
@@ -180,16 +175,6 @@ def test_try_parse_feed_with_beautiful_soup(feed_input: str, is_url: bool, enabl
     assert isinstance(feed_data["entries"], list)
 
 
-@pytest.mark.parametrize("enable_cache", [True, False])
-def test_enable_disable_cache(enable_cache):
-    controller = RSSController(feed_input=test_urls, enable_cache=enable_cache)
-
-    if enable_cache:
-        assert controller.session_exist
-    else:
-        assert not controller.session_exist
-
-
 def test_parse_feeds(mock_feed: feedparser.FeedParserDict):
     feed_input = test_urls[0]
     cooldown_interval = 620
@@ -239,3 +224,15 @@ def test_parse_feeds(mock_feed: feedparser.FeedParserDict):
 
         with pytest.raises(ValueError):
             controller.get_feed_stats("http://testfeed.com")
+
+
+@pytest.mark.parametrize("feed_input", [test_urls[0]])
+def test_redundant_fetch(feed_input: str, mock_feed: feedparser.FeedParserDict, mock_get_response: Mock):
+
+    controller = RSSController(feed_input=feed_input)
+    mock_feedparser_parse = patch("morpheus.controllers.rss_controller.feedparser.parse")
+    with mock_feedparser_parse, patch("requests.Session.get", return_value=mock_get_response) as mocked_session_get:
+        mock_feedparser_parse.return_value = mock_feed
+        dataframes_generator = controller.fetch_dataframes()
+        next(dataframes_generator, None)
+        assert mocked_session_get.call_count == 1
diff --git a/tests/dfencoder/test_autoencoder.py b/tests/dfencoder/test_autoencoder.py
index 1cf16eff49..43a1b7574b 100755
--- a/tests/dfencoder/test_autoencoder.py
+++ b/tests/dfencoder/test_autoencoder.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,8 +16,10 @@
 
 import os
 import typing
+import warnings
 from unittest.mock import patch
 
+import numpy as np
 import pandas as pd
 import pytest
 import torch
@@ -374,7 +376,7 @@ def test_auto_encoder_get_anomaly_score(train_ae: autoencoder.AutoEncoder, train
     train_ae.fit(train_df, epochs=1)
     anomaly_score = train_ae.get_anomaly_score(train_df)
     assert len(anomaly_score) == len(train_df)
-    assert round(anomaly_score.mean().item(), 2) == 2.28
+    assert round(anomaly_score.mean().item(), 2) == 2.29
     assert round(anomaly_score.std().item(), 2) == 0.11
 
 
@@ -478,8 +480,27 @@ def test_auto_encoder_get_results(train_ae: autoencoder.AutoEncoder, train_df: p
     assert 'max_abs_z' in results.columns
     assert 'mean_abs_z' in results.columns
 
-    assert round(results.loc[0, 'max_abs_z'], 2) == 2.5
+    assert np.isclose(results.loc[0, 'max_abs_z'], 2.51, atol=1e-2)
 
     # Numpy float has different precision checks than python float, so we wrap it.
-    assert round(float(results.loc[0, 'mean_abs_z']), 3) == 0.335
+    assert np.isclose(results.loc[0, 'mean_abs_z'], 0.361, atol=1e-3)
     assert results.loc[0, 'z_loss_scaler_type'] == 'z'
+
+
+@pytest.mark.usefixtures("manual_seed")
+def test_auto_encoder_num_only_convergence(train_ae: autoencoder.AutoEncoder):
+    num_df = pd.DataFrame({
+        'num_feat_1': [5.1, 4.9, 4.7, 4.6, 5.0, 5.4, 4.6, 5.0, 4.4, 4.9],
+        'num_feat_2': [3.5, 3.0, 3.2, 3.1, 3.6, 3.9, 3.4, 3.4, 2.9, 3.1],
+    })
+
+    with warnings.catch_warnings():
+        # Ignore warning regarding tensorflow not being installed
+        warnings.filterwarnings("ignore", message="Initializing zero-element tensors is a no-op", category=UserWarning)
+        train_ae.fit(num_df, epochs=50)
+
+    avg_loss = np.sum([np.array(loss[1])
+                       for loss in train_ae.logger.train_fts.values()], axis=0) / len(train_ae.logger.train_fts)
+
+    # Make sure the model converges with numerical feats only
+    assert avg_loss[-1] < avg_loss[0] / 2
diff --git a/tests/dfencoder/test_dfencoder_distributed_e2e.py b/tests/dfencoder/test_dfencoder_distributed_e2e.py
index bd9d855173..6ec7913ae5 100644
--- a/tests/dfencoder/test_dfencoder_distributed_e2e.py
+++ b/tests/dfencoder/test_dfencoder_distributed_e2e.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -42,43 +42,44 @@
     "log_count",
     "location_incr",
     "app_incr",
+    "has_error",
 ]
 LOSS_TYPES = ["train", "val", "id_val"]
 # 75th quantile of the losses from 100 times of offline training
 LOSS_TARGETS = {
     "train": {
-        "log_count": 0.33991,
-        "location_incr": 0.30789,
-        "app_incr": 0.17698,
-        "has_error": 0.00878,
-        "app_name": 0.13066,
-        "browser_type": 0.39804,
-        "os": 0.09882,
-        "country": 0.06063,
-        "city": 0.32344,
+        "log_count": 0.31612,
+        "location_incr": 0.27285,
+        "app_incr": 0.13989,
+        "has_error": 0.00536,
+        "app_name": 0.13652,
+        "browser_type": 0.39303,
+        "os": 0.00115,
+        "country": 0.00102,
+        "city": 0.30947
     },
     "val": {
-        "log_count": 0.3384,
-        "location_incr": 0.31456,
-        "app_incr": 0.16201,
-        "has_error": 0.00614,
-        "app_name": 0.11907,
-        "browser_type": 0.38239,
-        "os": 0.00064,
-        "country": 0.0042,
-        "city": 0.32161,
+        "log_count": 0.27835,
+        "location_incr": 0.28686,
+        "app_incr": 0.13064,
+        "has_error": 0.00364,
+        "app_name": 0.13276,
+        "browser_type": 0.36868,
+        "os": 2e-05,
+        "country": 0.00168,
+        "city": 0.31735
     },
     "id_val": {
-        "log_count": 0.07079,
-        "location_incr": 0.05318,
-        "app_incr": 0.03659,
-        "has_error": 0.0046,
-        "app_name": 0.03542,
-        "browser_type": 0.0915,
-        "os": 0.00057,
-        "country": 0.00343,
-        "city": 0.08525,
-    },
+        "log_count": 0.04845,
+        "location_incr": 0.02274,
+        "app_incr": 0.01639,
+        "has_error": 0.00255,
+        "app_name": 0.04597,
+        "browser_type": 0.08826,
+        "os": 2e-05,
+        "country": 0.00146,
+        "city": 0.07591
+    }
 }
 LOSS_TOLERANCE_RATIO = 1.25
 
@@ -146,7 +147,7 @@ def _run_test(rank, world_size):
         min_cats=1,
         device=rank,
         preset_numerical_scaler_params=preset_numerical_scaler_params,
-        binary_feature_list=[],
+        binary_feature_list=['has_error'],
         preset_cats=preset_cats,
         eval_batch_size=1024,
         patience=5,
diff --git a/tests/dfencoder/test_dfencoder_e2e.py b/tests/dfencoder/test_dfencoder_e2e.py
index 3bebffa058..29e39ab8d6 100644
--- a/tests/dfencoder/test_dfencoder_e2e.py
+++ b/tests/dfencoder/test_dfencoder_e2e.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/dfencoder/test_encoder_dataframe.py b/tests/dfencoder/test_encoder_dataframe.py
index ccda42709e..c44d9a90e9 100755
--- a/tests/dfencoder/test_encoder_dataframe.py
+++ b/tests/dfencoder/test_encoder_dataframe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/dfencoder/test_pkg.py b/tests/dfencoder/test_pkg.py
index 5e31a8046d..3b5d39585c 100755
--- a/tests/dfencoder/test_pkg.py
+++ b/tests/dfencoder/test_pkg.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -23,4 +23,4 @@ def test_old_dfencoder_not_in_env():
     Verify the old external dfencoder doesn't exist in the current env
     """
     with pytest.raises(ModuleNotFoundError):
-        import dfencoder  # noqa: F401
+        import dfencoder  # noqa: F401 #pylint:disable=unused-import
diff --git a/tests/dfencoder/test_scalers.py b/tests/dfencoder/test_scalers.py
index caa02fb472..820169df6e 100644
--- a/tests/dfencoder/test_scalers.py
+++ b/tests/dfencoder/test_scalers.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,42 +14,54 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import warnings
+
 import numpy as np
 import pytest
 import torch
 
 from morpheus.models.dfencoder import scalers
 
+# Pylint doesn't understand how pytest fixtures work and flags fixture uasage as a redefinition of the symbol in the
+# outer scope.
+# pylint: disable=redefined-outer-name
+
 
-@pytest.fixture(scope="function")
-def fit_tensor():
+@pytest.fixture(name="fit_tensor", scope="function")
+def fit_tensor_fixture():
     yield torch.tensor([4.4, 5.3, 6.5], dtype=torch.float32)
 
 
-@pytest.fixture(scope="function")
-def tensor():
+@pytest.fixture(name="tensor", scope="function")
+def tensor_fixture():
     yield torch.tensor([7.4, 8.3, 9.5], dtype=torch.float32)
 
 
-@pytest.fixture(scope="function")
-def standard_scaler(fit_tensor):
+@pytest.fixture(name="standard_scaler", scope="function")
+def standard_scaler_fixture(fit_tensor):
     scaler = scalers.StandardScaler()
     scaler.fit(fit_tensor)
     yield scaler
 
 
-@pytest.fixture(scope="function")
-def modified_scaler(fit_tensor):
+@pytest.fixture(name="modified_scaler", scope="function")
+def modified_scaler_fixture(fit_tensor):
     scaler = scalers.ModifiedScaler()
     scaler.fit(fit_tensor)
     yield scaler
 
 
-@pytest.fixture(scope="function")
-def gauss_rank_scaler(fit_tensor):
+@pytest.fixture(name="gauss_rank_scaler", scope="function")
+def gauss_rank_scaler_fixture(fit_tensor):
     scaler = scalers.GaussRankScaler()
-    scaler.fit(fit_tensor)
-    yield scaler
+
+    with warnings.catch_warnings():
+        # This warning is triggered by the abnormally small tensor size used in this test
+        warnings.filterwarnings("ignore",
+                                message=r"n_quantiles \(1000\) is greater than the total number of samples \(3\).*",
+                                category=UserWarning)
+        scaler.fit(fit_tensor)
+        yield scaler
 
 
 def test_ensure_float_type():
@@ -107,8 +119,7 @@ def test_modified_scaler_transform(modified_scaler, tensor):
     assert torch.equal(torch.round(results, decimals=2), expected), f"{results} != {expected}"
 
     # Test alternate path where median absolute deviation is 1
-    t = torch.tensor([3.0, 4.0, 4.0, 5.0])
-    modified_scaler.fit(t)
+    modified_scaler.fit(torch.tensor([3.0, 4.0, 4.0, 5.0]))
     results = modified_scaler.transform(tensor)
     expected = torch.tensor([5.43, 6.86, 8.78])
     assert torch.equal(torch.round(results, decimals=2), expected), f"{results} != {expected}"
@@ -120,8 +131,7 @@ def test_modified_scaler_inverse_transform(modified_scaler, tensor):
     assert torch.equal(torch.round(results, decimals=2), expected), f"{results} != {expected}"
 
     # Test alternate path where median absolute deviation is 1
-    t = torch.tensor([3.0, 4.0, 4.0, 5.0])
-    modified_scaler.fit(t)
+    modified_scaler.fit(torch.tensor([3.0, 4.0, 4.0, 5.0]))
     results = modified_scaler.inverse_transform(tensor)
     expected = torch.tensor([8.64, 9.2, 9.95])
     assert torch.equal(torch.round(results, decimals=2), expected), f"{results} != {expected}"
@@ -153,13 +163,13 @@ def test_gauss_rank_scaler_fit_transform(gauss_rank_scaler, tensor):
 
 def test_null_scaler(tensor):
     orig = tensor.to(dtype=torch.float32, copy=True)
-    ns = scalers.NullScaler()
-    ns.fit(tensor)
+    null_scaler = scalers.NullScaler()
+    null_scaler.fit(tensor)
 
     # Verify it does nothing
-    assert ns.transform(tensor) is tensor
-    assert ns.inverse_transform(tensor) is tensor
-    assert ns.fit_transform(tensor) is tensor
+    assert null_scaler.transform(tensor) is tensor
+    assert null_scaler.inverse_transform(tensor) is tensor
+    assert null_scaler.fit_transform(tensor) is tensor
 
     # After all that the values should be the same
     assert torch.equal(tensor, orig), f"{tensor} != {orig}"
diff --git a/tests/examples/abp_pcap_detection/test_abp_pcap_preprocessing.py b/tests/examples/abp_pcap_detection/test_abp_pcap_preprocessing.py
index a32e04c228..97443d65d6 100755
--- a/tests/examples/abp_pcap_detection/test_abp_pcap_preprocessing.py
+++ b/tests/examples/abp_pcap_detection/test_abp_pcap_preprocessing.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/developer_guide/test_pass_thru.py b/tests/examples/developer_guide/test_pass_thru.py
index f3c1f7c411..e8ae2d0086 100644
--- a/tests/examples/developer_guide/test_pass_thru.py
+++ b/tests/examples/developer_guide/test_pass_thru.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -52,7 +52,8 @@ def test_pass_thru_ex1_deco(config: Config, filter_probs_df: DataFrameType, impo
     _check_pass_thru(config, filter_probs_df, pass_thru.pass_thru_stage, on_data_fn_name='_on_data_fn')
 
 
-@pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'developer_guide/3_simple_cpp_stage/pass_thru.py'))
+@pytest.mark.import_mod(
+    os.path.join(TEST_DIRS.examples_dir, 'developer_guide/3_simple_cpp_stage/src/simple_cpp_stage/pass_thru.py'))
 def test_pass_thru_ex3(config: Config, filter_probs_df: DataFrameType, import_mod: types.ModuleType):
     pass_thru = import_mod
     _check_pass_thru(config, filter_probs_df, pass_thru.PassThruStage)
diff --git a/tests/examples/developer_guide/test_python_modules.py b/tests/examples/developer_guide/test_python_modules.py
index da77f43e71..1c433d6f78 100644
--- a/tests/examples/developer_guide/test_python_modules.py
+++ b/tests/examples/developer_guide/test_python_modules.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/examples/developer_guide/test_recipient_features_stage.py b/tests/examples/developer_guide/test_recipient_features_stage.py
index 58fa06cc58..a472e0bf91 100644
--- a/tests/examples/developer_guide/test_recipient_features_stage.py
+++ b/tests/examples/developer_guide/test_recipient_features_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/conftest.py b/tests/examples/digital_fingerprinting/conftest.py
index 0246b2921f..2e7aeb0622 100644
--- a/tests/examples/digital_fingerprinting/conftest.py
+++ b/tests/examples/digital_fingerprinting/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_dfp_file_batcher_stage.py b/tests/examples/digital_fingerprinting/test_dfp_file_batcher_stage.py
index ef965793cd..6120867926 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_file_batcher_stage.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_file_batcher_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_dfp_file_to_df.py b/tests/examples/digital_fingerprinting/test_dfp_file_to_df.py
index 716707ecfd..7540836f1e 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_file_to_df.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_file_to_df.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_dfp_inference_stage.py b/tests/examples/digital_fingerprinting/test_dfp_inference_stage.py
index e69cb1b58a..f4dda7c815 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_inference_stage.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_inference_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_dfp_mlflow_model_writer.py b/tests/examples/digital_fingerprinting/test_dfp_mlflow_model_writer.py
index 2568b2cf7d..561f94f823 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_mlflow_model_writer.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_mlflow_model_writer.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_dfp_postprocessing_stage.py b/tests/examples/digital_fingerprinting/test_dfp_postprocessing_stage.py
index 0ae8bca2b5..4b13bacde5 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_postprocessing_stage.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_postprocessing_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -51,7 +51,7 @@ def test_process_events_on_data(mock_datetime: mock.MagicMock,
 
     # post-process should replace nans, lets add a nan to the DF
     with dfp_multi_ae_message.meta.mutable_dataframe() as df:
-        df['v2'][10] = np.nan
+        df.loc[10, 'v2'] = np.nan
         df['event_time'] = ''
 
     set_log_level(morpheus_log_level)
diff --git a/tests/examples/digital_fingerprinting/test_dfp_preprocessing_stage.py b/tests/examples/digital_fingerprinting/test_dfp_preprocessing_stage.py
index 0244c1f13b..bf82381879 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_preprocessing_stage.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_preprocessing_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_dfp_rolling_window_stage.py b/tests/examples/digital_fingerprinting/test_dfp_rolling_window_stage.py
index 8631909f35..a499ba6f32 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_rolling_window_stage.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_rolling_window_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_dfp_split_users_stage.py b/tests/examples/digital_fingerprinting/test_dfp_split_users_stage.py
index bfc5c9366a..8189df73fe 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_split_users_stage.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_split_users_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,6 +16,7 @@
 import json
 import os
 import typing
+import warnings
 
 import pytest
 
@@ -99,7 +100,12 @@ def test_extract_users(config: Config,
                                skip_users=skip_users,
                                only_users=only_users)
 
-    results = stage.extract_users(df)
+    with warnings.catch_warnings():
+        # Ignore warning about the log message not being set. This happens whenever there aren't any output_messages
+        warnings.filterwarnings("ignore",
+                                message="Must set log msg before end of context! Skipping log",
+                                category=UserWarning)
+        results = stage.extract_users(df)
 
     if not include_generic and not include_individual:
         # Extra check for weird combination
diff --git a/tests/examples/digital_fingerprinting/test_dfp_training.py b/tests/examples/digital_fingerprinting/test_dfp_training.py
index 34dee902a3..bd06f3ecda 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_training.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_training.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_dfp_viz_postproc.py b/tests/examples/digital_fingerprinting/test_dfp_viz_postproc.py
index defbe4fced..b7cadaff49 100644
--- a/tests/examples/digital_fingerprinting/test_dfp_viz_postproc.py
+++ b/tests/examples/digital_fingerprinting/test_dfp_viz_postproc.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_multifile_source.py b/tests/examples/digital_fingerprinting/test_multifile_source.py
index 3271b14d01..c430e10c12 100644
--- a/tests/examples/digital_fingerprinting/test_multifile_source.py
+++ b/tests/examples/digital_fingerprinting/test_multifile_source.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/test_write_to_s3_stage.py b/tests/examples/digital_fingerprinting/test_write_to_s3_stage.py
index 01ab1fb8fd..6c951ff175 100644
--- a/tests/examples/digital_fingerprinting/test_write_to_s3_stage.py
+++ b/tests/examples/digital_fingerprinting/test_write_to_s3_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/digital_fingerprinting/utils/test_config_generator.py b/tests/examples/digital_fingerprinting/utils/test_config_generator.py
new file mode 100644
index 0000000000..40d4f37b67
--- /dev/null
+++ b/tests/examples/digital_fingerprinting/utils/test_config_generator.py
@@ -0,0 +1,60 @@
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+from datetime import datetime
+
+import pytest
+
+from morpheus.config import Config
+
+
+@pytest.fixture(name="dfp_arg_parser")
+def dfp_arg_parser_fixture():
+    from dfp.utils.dfp_arg_parser import DFPArgParser
+    dfp_arg_parser = DFPArgParser(skip_user=["unittest-skip-user"],
+                                  only_user=["unittest-only-user"],
+                                  start_time=datetime(1993, 4, 5, 6, 7, 8),
+                                  log_level=logging.DEBUG,
+                                  cache_dir=".cache",
+                                  sample_rate_s="20",
+                                  duration="2days",
+                                  source="unittest",
+                                  tracking_uri="http://unittest",
+                                  silence_monitors=False,
+                                  mlflow_experiment_name_formatter="unittest-experiment",
+                                  mlflow_model_name_formatter="unittest-model",
+                                  train_users="unittest-train-users")
+    dfp_arg_parser.init()
+    yield dfp_arg_parser
+
+
+@pytest.fixture(name="schema")
+def schema_fixture(config: Config):
+    from dfp.utils.schema_utils import SchemaBuilder
+    schema_builder = SchemaBuilder(config, "duo")
+    yield schema_builder.build_schema()
+
+
+def test_constructor(config: Config, dfp_arg_parser: "DFPArgParser", schema: "Schema"):  # noqa: F821
+    from dfp.utils.config_generator import ConfigGenerator
+
+    config_generator = ConfigGenerator(config=config, dfp_arg_parser=dfp_arg_parser, schema=schema, encoding="latin1")
+
+    assert config_generator._config is config
+    assert config_generator._dfp_arg_parser is dfp_arg_parser
+    assert config_generator._encoding == "latin1"
+    assert config_generator._start_time_str == "1993-04-05T06:07:08+00:00"
+    assert config_generator._end_time_str == "1993-04-07T06:07:08+00:00"
diff --git a/tests/examples/gnn_fraud_detection_pipeline/conftest.py b/tests/examples/gnn_fraud_detection_pipeline/conftest.py
index 50ca2d0d20..a625d51862 100644
--- a/tests/examples/gnn_fraud_detection_pipeline/conftest.py
+++ b/tests/examples/gnn_fraud_detection_pipeline/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/gnn_fraud_detection_pipeline/test_classification_stage.py b/tests/examples/gnn_fraud_detection_pipeline/test_classification_stage.py
index 39f0418abb..e4935ae592 100644
--- a/tests/examples/gnn_fraud_detection_pipeline/test_classification_stage.py
+++ b/tests/examples/gnn_fraud_detection_pipeline/test_classification_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/gnn_fraud_detection_pipeline/test_graph_construction_stage.py b/tests/examples/gnn_fraud_detection_pipeline/test_graph_construction_stage.py
index 11db2ed799..e1785076eb 100644
--- a/tests/examples/gnn_fraud_detection_pipeline/test_graph_construction_stage.py
+++ b/tests/examples/gnn_fraud_detection_pipeline/test_graph_construction_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/gnn_fraud_detection_pipeline/test_graph_sage_stage.py b/tests/examples/gnn_fraud_detection_pipeline/test_graph_sage_stage.py
index dd35f4a4a5..a4273ca17b 100644
--- a/tests/examples/gnn_fraud_detection_pipeline/test_graph_sage_stage.py
+++ b/tests/examples/gnn_fraud_detection_pipeline/test_graph_sage_stage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/llm/common/conftest.py b/tests/examples/llm/common/conftest.py
index 11ef4bad0c..259b535304 100644
--- a/tests/examples/llm/common/conftest.py
+++ b/tests/examples/llm/common/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,19 +13,52 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import os
+import sys
+
 import pytest
 
+from _utils import TEST_DIRS
 from _utils import import_or_skip
 
 
-@pytest.fixture(name="nemollm", autouse=True, scope='session')
-def nemollm_fixture(fail_missing: bool):
+@pytest.fixture(scope="function")
+def import_utils(restore_sys_path):  # pylint: disable=unused-argument
+    utils_path = os.path.join(TEST_DIRS.examples_dir, 'llm/common/')
+    sys.path.insert(0, utils_path)
+
+    import utils
+
+    return utils
+
+
+@pytest.fixture(scope="function")
+def import_web_scraper_module(restore_sys_path):  # pylint: disable=unused-argument
+    web_scraper_path = os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/module')
+    sys.path.insert(0, web_scraper_path)
+
+    import web_scraper_module
+
+    return web_scraper_module
+
+
+# Fixture for importing the module
+@pytest.fixture(scope="function")
+def import_content_extractor_module(restore_sys_path):  # pylint: disable=unused-argument
+    sys.path.insert(0, os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/module/'))
+
+    import content_extractor_module
+
+    return content_extractor_module
+
+
+@pytest.fixture(name="langchain", autouse=True, scope='session')
+def langchain_fixture(fail_missing: bool):
     """
-    All the tests in this subdir require nemollm
+    All the tests in this subdir require langchain
     """
+
     skip_reason = ("Tests for the WebScraperStage require the langchain package to be installed, to install this run:\n"
-                   "`mamba install -n base -c conda-forge conda-merge`\n"
-                   "`conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml "
-                   "  docker/conda/environments/cuda${CUDA_VER}_examples.yml"
-                   "  > .tmp/merged.yml && mamba env update -n morpheus --file .tmp/merged.yml`")
+                   "`conda env update --solver=libmamba -n morpheus "
+                   "--file conda/environments/dev_cuda-121_arch-x86_64.yaml --prune`")
     yield import_or_skip("langchain", reason=skip_reason, fail_missing=fail_missing)
diff --git a/tests/examples/llm/common/test_content_extractor_module.py b/tests/examples/llm/common/test_content_extractor_module.py
new file mode 100644
index 0000000000..2c77737681
--- /dev/null
+++ b/tests/examples/llm/common/test_content_extractor_module.py
@@ -0,0 +1,144 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import os
+import random
+import shutil
+import string
+import tempfile
+import types
+import uuid
+from functools import partial
+from typing import Callable
+from typing import Dict
+from typing import Generator
+from typing import List
+
+import fsspec.core
+import pandas as pd
+import pytest
+
+from morpheus.config import Config
+from morpheus.messages import MessageMeta
+from morpheus.pipeline import LinearPipeline
+from morpheus.stages.general.linear_modules_stage import LinearModulesStage
+from morpheus.stages.input.in_memory_data_generation_stage import InMemoryDataGenStage
+from morpheus.stages.output.in_memory_sink_stage import InMemorySinkStage
+
+logger = logging.getLogger(f"morpheus.{__name__}")
+
+
+class TempCSVFiles:
+
+    def __init__(self, num_files: int, columns: Dict[str, Callable[[], any]]):
+        self.temp_dir = None
+        self.temp_files = []
+        self.num_files = num_files
+        self.columns = columns
+
+        self._create_temp_dir_and_files()
+
+    def _create_temp_dir_and_files(self):
+        # Create a temporary directory
+        self.temp_dir = os.path.join(tempfile.gettempdir(), uuid.uuid4().hex)
+        os.makedirs(self.temp_dir, exist_ok=True)
+
+        for _ in range(self.num_files):
+            # Create a random filename within the temp directory
+            file_path = os.path.join(self.temp_dir, f"{uuid.uuid4().hex}.csv")
+
+            # Generate deterministic CSV data based on the specified columns
+            data = {col_name: col_func() for col_name, col_func in self.columns.items()}
+            df = pd.DataFrame(data)
+            df.to_csv(file_path, index=False)
+
+            # Store the file path for later use
+            self.temp_files.append(file_path)
+
+    def __enter__(self):
+        return self.temp_files
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        # Cleanup the temporary directory and its contents
+        if self.temp_dir and os.path.exists(self.temp_dir):
+            shutil.rmtree(self.temp_dir)
+
+
+# Define a generator function that uses TempCSVFiles to generate CSV file paths
+def csv_file_generator(csv_files: List[str], batch_size: int) -> Generator[List[fsspec.core.OpenFile], None, None]:
+    # Create TempCSVFiles instance without using 'with' statement
+    open_files = fsspec.open_files(csv_files.temp_files)
+    for i in range(0, len(open_files), batch_size):
+        yield open_files[i:i + batch_size]
+
+
+def generate_random_string(length: int) -> str:
+    return ''.join(random.choices(string.ascii_letters + string.digits, k=length))
+
+
+@pytest.mark.use_python
+@pytest.mark.use_cudf
+@pytest.mark.parametrize("data_len, num_rows_per_file, batch_size",
+                         [(40, 5, 2), (51, 3, 1), (150, 10, 5), (500, 3, 2), (1000, 5, 3), (50, 10, 2), (100, 20, 3),
+                          (50, 5, 1), (100, 10, 1), (49, 5, 2), (99, 5, 2), (60, 7, 2), (120, 6, 3), (1000, 50, 10),
+                          (2000, 100, 20)])
+def test_content_extractor_module(data_len,
+                                  num_rows_per_file,
+                                  batch_size,
+                                  config: Config,
+                                  import_content_extractor_module: types.ModuleType):
+    chunk_size = 50
+    chunk_overlap = 10
+    # Text splitter handles things a bit differently on evenly divisible boundaries
+    chunk_boundary_size = (chunk_size - chunk_overlap) if (data_len > chunk_size) else chunk_size
+    module_config = {
+        "batch_size": batch_size,
+        "chunk_size": 512,
+        "chunk_overlap": 51,
+        "converters_meta": {
+            "csv": {
+                "chunk_size": chunk_size,
+                "chunk_overlap": chunk_overlap,
+                "text_column_names": ["some_column"],
+            }
+        },
+    }
+    content_extractor_loader = import_content_extractor_module.ContentExtractorLoaderFactory.get_instance(
+        "content_extractor", module_config=module_config)
+
+    temp_csv_files = TempCSVFiles(
+        num_files=5,
+        columns={'some_column': lambda: [generate_random_string(data_len) for _ in range(num_rows_per_file)]})
+    file_generator = partial(csv_file_generator, temp_csv_files, batch_size=1)
+
+    pipe = LinearPipeline(config)
+    pipe.set_source(InMemoryDataGenStage(config, file_generator, output_data_type=List[fsspec.core.OpenFile]))
+    pipe.add_stage(
+        LinearModulesStage(config,
+                           content_extractor_loader,
+                           input_type=List[fsspec.core.OpenFile],
+                           output_type=MessageMeta,
+                           input_port_name="input",
+                           output_port_name="output"))
+    sink_stage = pipe.add_stage(InMemorySinkStage(config))
+    pipe.run()
+
+    expected_columns = ["title", "source", "summary", "content"]
+    for message in sink_stage.get_messages():
+        output = message.df
+        assert set(expected_columns) == set(output.columns)
+        assert output.shape == (num_rows_per_file * ((data_len // chunk_boundary_size) +
+                                                     (1 if data_len % chunk_boundary_size else 0)),
+                                4)
diff --git a/tests/examples/llm/common/test_utils.py b/tests/examples/llm/common/test_utils.py
new file mode 100644
index 0000000000..6554f77c5a
--- /dev/null
+++ b/tests/examples/llm/common/test_utils.py
@@ -0,0 +1,64 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pymilvus
+import pytest
+from pymilvus.exceptions import DataTypeNotSupportException
+
+
+def test_build_milvus_config_valid_schema(import_utils):
+    resource_schema_config = {
+        "schema_conf": {
+            "schema_fields": [{
+                "name": "field1", "dtype": "INT64"
+            }, {
+                "name": "field2", "dtype": "FLOAT"
+            }]
+        }
+    }
+    expected_dtype_map = {"field1": pymilvus.DataType.INT64, "field2": pymilvus.DataType.FLOAT}
+    result = import_utils.build_milvus_config(resource_schema_config)
+    for field in result["schema_conf"]["schema_fields"]:
+        assert field["type"] == expected_dtype_map[field["name"]]
+
+
+def test_build_milvus_config_invalid_dtype(import_utils):
+    resource_schema_config = {"schema_conf": {"schema_fields": [{"name": "invalid_field", "dtype": "invalid_dtype"}]}}
+    with pytest.raises(DataTypeNotSupportException):
+        import_utils.build_milvus_config(resource_schema_config)
+
+
+def test_build_milvus_config_empty_schema_fields(import_utils):
+    resource_schema_config = {"schema_conf": {"schema_fields": []}}
+    result = import_utils.build_milvus_config(resource_schema_config)
+    assert result["schema_conf"]["schema_fields"] == []
+
+
+def test_build_milvus_config_none_schema_config(import_utils):
+    with pytest.raises(TypeError):
+        import_utils.build_milvus_config(None)
+
+
+def test_build_milvus_config_additional_field_properties(import_utils):
+    with pytest.raises(DataTypeNotSupportException):
+        resource_schema_config = {
+            "schema_conf": {
+                "schema_fields": [{
+                    "name": "field1", "dtype": "int64", "extra_prop": "value"
+                }]
+            }
+        }
+        result = import_utils.build_milvus_config(resource_schema_config)
+        assert "extra_prop" in result["schema_conf"]["schema_fields"][0]
+        assert result["schema_conf"]["schema_fields"][0]["extra_prop"] == "value"
diff --git a/tests/examples/llm/common/test_web_scraper_module.py b/tests/examples/llm/common/test_web_scraper_module.py
new file mode 100644
index 0000000000..592f5d38fb
--- /dev/null
+++ b/tests/examples/llm/common/test_web_scraper_module.py
@@ -0,0 +1,66 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import types
+
+import pytest
+
+import cudf
+
+from _utils import TEST_DIRS
+from _utils import assert_results
+from morpheus.config import Config
+from morpheus.messages import MessageMeta
+from morpheus.pipeline import LinearPipeline
+from morpheus.stages.general.linear_modules_stage import LinearModulesStage
+from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
+from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
+
+
+@pytest.mark.slow
+@pytest.mark.use_python
+@pytest.mark.use_cudf
+@pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/module/web_scraper_module.py'))
+def test_web_scraper_module(config: Config, mock_rest_server: str, import_mod: types.ModuleType):
+    url = f"{mock_rest_server}/www/index"
+
+    df = cudf.DataFrame({"link": [url]})
+    df_expected = cudf.DataFrame({"link": [url], "page_content": "website title some paragraph"})
+
+    web_scraper_loader = import_mod.WebScraperLoaderFactory.get_instance(
+        "web_scraper",
+        module_config={
+            "web_scraper_config": {
+                "link_column": "link",
+                "chunk_size": 100,
+                "enable_cache": False,
+                "cache_path": "./.cache/http/RSSDownloadStage.sqlite",
+                "cache_dir": "./.cache/llm/rss"
+            }
+        })
+
+    pipe = LinearPipeline(config)
+    pipe.set_source(InMemorySourceStage(config, [df]))
+    pipe.add_stage(
+        LinearModulesStage(config,
+                           web_scraper_loader,
+                           input_type=MessageMeta,
+                           output_type=MessageMeta,
+                           input_port_name="input",
+                           output_port_name="output"))
+    comp_stage = pipe.add_stage(CompareDataFrameStage(config, compare_df=df_expected))
+    pipe.run()
+
+    assert_results(comp_stage.get_results())
diff --git a/tests/examples/llm/common/test_web_scraper_stage.py b/tests/examples/llm/common/test_web_scraper_stage.py
index 02a381c30e..418d245043 100644
--- a/tests/examples/llm/common/test_web_scraper_stage.py
+++ b/tests/examples/llm/common/test_web_scraper_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -30,7 +30,7 @@
 @pytest.mark.slow
 @pytest.mark.use_python
 @pytest.mark.use_cudf
-@pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'llm/common/web_scraper_stage.py'))
+@pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/module/web_scraper_stage.py'))
 def test_http_client_source_stage_pipe(config: Config, mock_rest_server: str, import_mod: types.ModuleType):
     url = f"{mock_rest_server}/www/index"
 
@@ -42,8 +42,7 @@ def test_http_client_source_stage_pipe(config: Config, mock_rest_server: str, im
     pipe.set_source(InMemorySourceStage(config, [df]))
     pipe.add_stage(import_mod.WebScraperStage(config, chunk_size=config.feature_length))
     comp_stage = pipe.add_stage(CompareDataFrameStage(config, compare_df=df_expected))
-    pipe.run()
 
-    print(comp_stage.get_messages())
+    pipe.run()
 
     assert_results(comp_stage.get_results())
diff --git a/tests/examples/llm/vdb_upload/conftest.py b/tests/examples/llm/vdb_upload/conftest.py
new file mode 100644
index 0000000000..9c8ddfe894
--- /dev/null
+++ b/tests/examples/llm/vdb_upload/conftest.py
@@ -0,0 +1,41 @@
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import sys
+
+import pytest
+
+from _utils import TEST_DIRS
+
+
+@pytest.fixture(scope="function")
+def import_vdb_update_utils_module(restore_sys_path):  # pylint: disable=unused-argument
+    path = os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/')
+    sys.path.insert(0, path)
+
+    import vdb_utils
+
+    return vdb_utils
+
+
+@pytest.fixture(scope="function")
+def import_schema_transform_module(restore_sys_path):  # pylint: disable=unused-argument
+    path = os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/module')
+    sys.path.insert(0, path)
+
+    import schema_transform
+
+    return schema_transform
diff --git a/tests/examples/llm/vdb_upload/test_schema_transform_module.py b/tests/examples/llm/vdb_upload/test_schema_transform_module.py
new file mode 100644
index 0000000000..8a4ed6e870
--- /dev/null
+++ b/tests/examples/llm/vdb_upload/test_schema_transform_module.py
@@ -0,0 +1,84 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import types
+
+import pytest
+
+import cudf
+
+from _utils import assert_results
+from morpheus.config import Config
+from morpheus.messages import MessageMeta
+from morpheus.pipeline import LinearPipeline
+from morpheus.stages.general.linear_modules_stage import LinearModulesStage
+from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
+from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
+
+
+@pytest.mark.use_python
+@pytest.mark.use_cudf
+@pytest.mark.parametrize("num_select, num_renames", [(1, 0), (0, 1), (1, 1), (6, 6), (13, 10), (10, 13)])
+def test_schema_transform_module(num_select,
+                                 num_renames,
+                                 config: Config,
+                                 import_schema_transform_module: types.ModuleType):
+    # Generate the DataFrame columns for select and rename
+    select_columns = [f'select_{i}' for i in range(num_select)]
+    rename_columns = [f'rename_from_{i}' for i in range(num_renames)]
+
+    # Generate the DataFrame
+    df_data = {col: range(10) for col in select_columns}
+    df_data.update({col: range(10) for col in rename_columns})
+    df = cudf.DataFrame(df_data)
+
+    # Generate the expected DataFrame
+    expected_data = {col: range(10) for col in select_columns}
+    expected_data.update({f'rename_to_{i}': range(10) for i in range(num_renames)})
+    df_expected = cudf.DataFrame(expected_data)
+
+    # Generate the schema transform configuration
+    transform_config = {
+        "schema_transform_config": {
+            col: {
+                "dtype": "int", "op_type": "select"
+            }
+            for col in select_columns
+        }
+    }
+    transform_config["schema_transform_config"].update({
+        f'rename_to_{i}': {
+            "from": f'rename_from_{i}', "dtype": "int", "op_type": "rename"
+        }
+        for i in range(num_renames)
+    })
+
+    schema_module_loader = import_schema_transform_module.SchemaTransformLoaderFactory.get_instance(
+        "schema_transform", module_config=transform_config)
+
+    # Set up the pipeline
+    pipe = LinearPipeline(config)
+    pipe.set_source(InMemorySourceStage(config, [df]))
+    pipe.add_stage(
+        LinearModulesStage(config,
+                           schema_module_loader,
+                           input_type=MessageMeta,
+                           output_type=MessageMeta,
+                           input_port_name="input",
+                           output_port_name="output"))
+
+    comp_stage = pipe.add_stage(CompareDataFrameStage(config, compare_df=df_expected))
+    pipe.run()
+
+    assert_results(comp_stage.get_results())
diff --git a/tests/examples/llm/vdb_upload/test_vdb_utils.py b/tests/examples/llm/vdb_upload/test_vdb_utils.py
new file mode 100644
index 0000000000..38080f402a
--- /dev/null
+++ b/tests/examples/llm/vdb_upload/test_vdb_utils.py
@@ -0,0 +1,56 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+
+
+def test_is_valid_service_with_valid_name(import_vdb_update_utils_module):
+    assert import_vdb_update_utils_module.is_valid_service(None, None, "milvus") == "milvus"
+
+
+def test_is_valid_service_with_invalid_name(import_vdb_update_utils_module):
+    with pytest.raises(ValueError):
+        import_vdb_update_utils_module.is_valid_service(None, None, "invalid_service")
+
+
+def test_is_valid_service_with_mixed_case(import_vdb_update_utils_module):
+    assert import_vdb_update_utils_module.is_valid_service(None, None, "MilVuS") == "milvus"
+
+
+def test_merge_configs_non_overlapping(import_vdb_update_utils_module):
+    file_config = {"key1": "value1"}
+    cli_config = {"key2": "value2"}
+    expected = {"key1": "value1", "key2": "value2"}
+    assert import_vdb_update_utils_module.merge_configs(file_config, cli_config) == expected
+
+
+def test_merge_configs_overlapping(import_vdb_update_utils_module):
+    file_config = {"key1": "value1", "key2": "old_value"}
+    cli_config = {"key2": "new_value"}
+    expected = {"key1": "value1", "key2": "new_value"}
+    assert import_vdb_update_utils_module.merge_configs(file_config, cli_config) == expected
+
+
+def test_merge_configs_none_in_cli(import_vdb_update_utils_module):
+    file_config = {"key1": "value1", "key2": "value2"}
+    cli_config = {"key2": None}
+    expected = {"key1": "value1", "key2": "value2"}
+    assert import_vdb_update_utils_module.merge_configs(file_config, cli_config) == expected
+
+
+def test_merge_configs_empty(import_vdb_update_utils_module):
+    file_config = {}
+    cli_config = {"key1": "value1"}
+    expected = {"key1": "value1"}
+    assert import_vdb_update_utils_module.merge_configs(file_config, cli_config) == expected
diff --git a/tests/examples/log_parsing/conftest.py b/tests/examples/log_parsing/conftest.py
index a9d9c21f5e..d31891873a 100644
--- a/tests/examples/log_parsing/conftest.py
+++ b/tests/examples/log_parsing/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,8 +16,8 @@
 import pytest
 
 
-@pytest.fixture
-def config(config):  # pylint: disable=redefined-outer-name
+@pytest.fixture(name="config")
+def config_fixture(config):
     """
     The log_parsing pipelie requires NLP mode. Set this here so all the tests don't need to set it themselves.
     """
diff --git a/tests/examples/log_parsing/test_inference.py b/tests/examples/log_parsing/test_inference.py
index 3325c45d71..bd917df2e6 100644
--- a/tests/examples/log_parsing/test_inference.py
+++ b/tests/examples/log_parsing/test_inference.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,21 +20,21 @@
 
 import cupy as cp
 import numpy as np
-import pandas as pd
 import pytest
 
-import cudf
-
 from _utils import TEST_DIRS
 from morpheus.config import Config
 from morpheus.messages import InferenceMemoryNLP
 from morpheus.messages import MessageMeta
-from morpheus.messages import MultiInferenceMessage
-from morpheus.stages.inference.triton_inference_stage import _TritonInferenceWorker
+from morpheus.messages import MultiInferenceNLPMessage
+from morpheus.messages import MultiResponseMessage
+from morpheus.messages import TensorMemory
+from morpheus.stages.inference.triton_inference_stage import TritonInferenceWorker
 from morpheus.utils.producer_consumer_queue import ProducerConsumerQueue
+from morpheus.utils.type_aliases import DataFrameType
 
 
-def build_response_mem(messages_mod, log_test_data_dir: str):
+def build_response_mem(log_test_data_dir: str) -> TensorMemory:
     # we have tensor data for the first five rows
     count = 5
     tensors = {}
@@ -43,15 +43,33 @@ def build_response_mem(messages_mod, log_test_data_dir: str):
         host_data = np.loadtxt(tensor_file, delimiter=',')
         tensors[tensor_name] = cp.asarray(host_data)
 
-    return messages_mod.ResponseMemoryLogParsing(count=count, **tensors)
+    return TensorMemory(count=count, tensors=tensors)
+
+
+def build_resp_message(df: DataFrameType, num_cols: int = 2) -> MultiResponseMessage:
+    count = len(df)
+    seq_ids = cp.zeros((count, 3), dtype=cp.uint32)
+    seq_ids[:, 0] = cp.arange(0, count, dtype=cp.uint32)
+    seq_ids[:, 2] = 42
+
+    meta = MessageMeta(df)
+    mem = TensorMemory(count=count,
+                       tensors={
+                           'confidences': cp.zeros((count, num_cols)),
+                           'labels': cp.zeros((count, num_cols)),
+                           'input_ids': cp.zeros((count, num_cols), dtype=cp.float32),
+                           'seq_ids': seq_ids
+                       })
+
+    return MultiResponseMessage(meta=meta, mess_offset=0, mess_count=count, memory=mem, offset=0, count=count)
 
 
-def build_inf_message(df: typing.Union[pd.DataFrame, cudf.DataFrame],
+def build_inf_message(df: DataFrameType,
                       mess_offset: int,
                       mess_count: int,
                       offset: int,
                       count: int,
-                      num_cols: int = 2) -> MultiInferenceMessage:
+                      num_cols: int = 2) -> MultiInferenceNLPMessage:
     assert count >= mess_count
     tensor_length = offset + count
     seq_ids = cp.zeros((tensor_length, 3), dtype=cp.uint32)
@@ -69,28 +87,24 @@ def build_inf_message(df: typing.Union[pd.DataFrame, cudf.DataFrame],
                              input_mask=cp.zeros((tensor_length, num_cols), dtype=cp.float32),
                              seq_ids=seq_ids)
 
-    return MultiInferenceMessage(meta=meta,
-                                 mess_offset=mess_offset,
-                                 mess_count=mess_count,
-                                 memory=mem,
-                                 offset=offset,
-                                 count=count)
+    return MultiInferenceNLPMessage(meta=meta,
+                                    mess_offset=mess_offset,
+                                    mess_count=mess_count,
+                                    memory=mem,
+                                    offset=offset,
+                                    count=count)
 
 
-def _check_worker(inference_mod: types.ModuleType, worker: _TritonInferenceWorker):
-    assert isinstance(worker, _TritonInferenceWorker)
+def _check_worker(inference_mod: types.ModuleType, worker: TritonInferenceWorker):
+    assert isinstance(worker, TritonInferenceWorker)
     assert isinstance(worker, inference_mod.TritonInferenceLogParsing)
     assert worker._model_name == 'test_model'
     assert worker._server_url == 'test_server'
     assert not worker._force_convert_inputs
     assert not worker._use_shared_memory
+    assert worker.needs_logits
 
-    expected_mapping = inference_mod.TritonInferenceLogParsing.default_inout_mapping()
-    expected_mapping.update({'test': 'this'})
-    assert worker._inout_mapping == expected_mapping
 
-
-@pytest.mark.use_python
 @pytest.mark.import_mod([os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'inference.py')])
 def test_log_parsing_triton_inference_log_parsing_constructor(config: Config,
                                                               import_mod: typing.List[types.ModuleType]):
@@ -101,17 +115,16 @@ def test_log_parsing_triton_inference_log_parsing_constructor(config: Config,
                                                      server_url='test_server',
                                                      force_convert_inputs=False,
                                                      use_shared_memory=False,
-                                                     inout_mapping={'test': 'this'})
+                                                     input_mapping={'test': 'this'},
+                                                     needs_logits=True)
 
     _check_worker(inference_mod, worker)
 
 
-@pytest.mark.use_python
 @pytest.mark.import_mod([os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'inference.py')])
 @pytest.mark.parametrize("mess_offset,mess_count,offset,count", [(0, 20, 0, 20), (5, 10, 5, 10)])
 def test_log_parsing_triton_inference_log_parsing_build_output_message(config: Config,
-                                                                       filter_probs_df: typing.Union[pd.DataFrame,
-                                                                                                     cudf.DataFrame],
+                                                                       filter_probs_df: DataFrameType,
                                                                        import_mod: typing.List[types.ModuleType],
                                                                        mess_offset: int,
                                                                        mess_count: int,
@@ -143,82 +156,46 @@ def test_log_parsing_triton_inference_log_parsing_build_output_message(config: C
     assert msg.count == count
 
     assert set(msg.memory.tensor_names).issuperset(('confidences', 'labels', 'input_ids', 'seq_ids'))
-    assert msg.confidences.shape == (count, 2)
-    assert msg.labels.shape == (count, 2)
-    assert msg.input_ids.shape == (count, 2)
-    assert msg.seq_ids.shape == (count, 3)
+    assert msg.get_tensor('confidences').shape == (count, 2)
+    assert msg.get_tensor('labels').shape == (count, 2)
+    assert msg.get_tensor('input_ids').shape == (count, 2)
+    assert msg.get_tensor('seq_ids').shape == (count, 3)
 
 
-@pytest.mark.use_python
-@pytest.mark.import_mod([os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'inference.py')])
-def test_log_parsing_inference_stage_constructor(config: Config, import_mod: typing.List[types.ModuleType]):
-    inference_mod = import_mod[0]
-    stage = inference_mod.LogParsingInferenceStage(
-        config,
-        model_name='test_model',
-        server_url='test_server',
-        force_convert_inputs=False,
-        use_shared_memory=False,
-    )
-
-    assert stage._config is config
-    assert stage._kwargs == {
-        "model_name": 'test_model',
-        "server_url": 'test_server',
-        "force_convert_inputs": False,
-        "use_shared_memory": False
-    }
-
-    # Intentionally not checking the `_requires_seg_ids` value at it appears to not be used
-
-
-@pytest.mark.use_python
 @pytest.mark.import_mod([os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'inference.py')])
 def test_log_parsing_inference_stage_get_inference_worker(config: Config, import_mod: typing.List[types.ModuleType]):
     inference_mod = import_mod[0]
 
-    stage = inference_mod.LogParsingInferenceStage(
-        config,
-        model_name='test_model',
-        server_url='test_server',
-        force_convert_inputs=False,
-        use_shared_memory=False,
-    )
-
-    stage._kwargs.update({'inout_mapping': {'test': 'this'}})
+    stage = inference_mod.LogParsingInferenceStage(config,
+                                                   model_name='test_model',
+                                                   server_url='test_server',
+                                                   force_convert_inputs=False,
+                                                   use_shared_memory=False,
+                                                   inout_mapping={'test': 'this'})
 
     worker = stage._get_inference_worker(inf_queue=ProducerConsumerQueue())
     _check_worker(inference_mod, worker)
 
 
-@pytest.mark.use_python
+@pytest.mark.use_cudf
 @pytest.mark.usefixtures("manual_seed", "config")
-@pytest.mark.import_mod([
-    os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'inference.py'),
-    os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'messages.py')
-])
+@pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'inference.py'))
 @pytest.mark.parametrize("mess_offset,mess_count,offset,count", [(0, 5, 0, 5), (5, 5, 0, 5)])
 def test_log_parsing_inference_stage_convert_one_response(import_mod: typing.List[types.ModuleType],
-                                                          filter_probs_df: typing.Union[pd.DataFrame, cudf.DataFrame],
+                                                          filter_probs_df: DataFrameType,
                                                           mess_offset,
                                                           mess_count,
                                                           offset,
                                                           count):
-    inference_mod, messages_mod = import_mod
+    inference_mod = import_mod
 
-    ttl_count = len(filter_probs_df)
-
-    input_res = build_response_mem(messages_mod, os.path.join(TEST_DIRS.tests_data_dir, 'examples/log_parsing'))
+    input_res = build_response_mem(os.path.join(TEST_DIRS.tests_data_dir, 'examples/log_parsing'))
 
     # confidences, labels & input_ids all have the same shape
-    num_cols = input_res.confidences.shape[1]
-    input_mem = messages_mod.PostprocMemoryLogParsing(
-        count=ttl_count,
-        confidences=cp.zeros((ttl_count, num_cols), dtype=cp.float32),
-        input_ids=cp.zeros((ttl_count, num_cols), dtype=cp.float32),
-        labels=cp.zeros((ttl_count, num_cols), dtype=cp.float32),
-        seq_ids=cp.zeros((ttl_count, 3), dtype=cp.uint32),
-    )
+    num_cols = input_res.get_tensor('confidences').shape[1]
+    resp_msg = build_resp_message(filter_probs_df, num_cols=num_cols)
+
+    orig_tensors = {k: v.copy() for (k, v) in resp_msg.memory.get_tensors().items()}
 
     input_inf = build_inf_message(filter_probs_df,
                                   mess_offset=mess_offset,
@@ -227,23 +204,25 @@ def test_log_parsing_inference_stage_convert_one_response(import_mod: typing.Lis
                                   count=count,
                                   num_cols=num_cols)
 
-    output_msg = inference_mod.LogParsingInferenceStage._convert_one_response(input_mem, input_inf, input_res)
+    output_msg = inference_mod.LogParsingInferenceStage._convert_one_response(resp_msg, input_inf, input_res)
 
-    assert isinstance(output_msg, messages_mod.MultiPostprocLogParsingMessage)
+    assert isinstance(output_msg, MultiResponseMessage)
     assert output_msg.meta is input_inf.meta
-    assert output_msg.memory is input_mem
     assert output_msg.mess_offset == mess_offset
     assert output_msg.mess_count == mess_count
     assert output_msg.offset == offset
     assert output_msg.count == count
 
-    assert (output_msg.seq_ids == input_inf.seq_ids).all()
-    assert (output_msg.input_ids == input_inf.input_ids).all()
-    assert (output_msg.confidences == input_res.confidences).all()
-    assert (output_msg.labels == input_res.labels).all()
+    assert (output_msg.get_tensor('seq_ids') == input_inf.get_tensor('seq_ids')).all()
+    assert (output_msg.get_tensor('input_ids') == input_inf.get_tensor('input_ids')).all()
+    assert (output_msg.get_tensor('confidences') == input_res.get_tensor('confidences')).all()
+    assert (output_msg.get_tensor('labels') == input_res.get_tensor('labels')).all()
 
     # Ensure we didn't write to the memory outside of the [offset:offset+count] bounds
-    tensors = input_mem.get_tensors()
+    tensors = resp_msg.memory.get_tensors()
     for (tensor_name, tensor) in tensors.items():
-        assert (tensor[0:offset] == 0).all(), f"Out of bounds values for {tensor_name}"
-        assert (tensor[offset + count:] == 0).all(), f"Out of bounds values for {tensor_name}"
+        orig_tensor = orig_tensors[tensor_name]
+
+        error_msg = f"Out of bounds values for {tensor_name}"
+        assert (tensor[0:offset] == orig_tensor[0:offset]).all(), error_msg
+        assert (tensor[offset + count:] == orig_tensor[offset + count:]).all(), error_msg
diff --git a/tests/examples/log_parsing/test_log_parsing_pipe.py b/tests/examples/log_parsing/test_log_parsing_pipe.py
index d091cada6f..4aac2d439b 100755
--- a/tests/examples/log_parsing/test_log_parsing_pipe.py
+++ b/tests/examples/log_parsing/test_log_parsing_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -126,7 +126,6 @@ def _run_mocked_pipeline(config: Config, dataset_cudf: DatasetManager, import_mo
 
 
 @pytest.mark.slow
-@pytest.mark.use_python
 @pytest.mark.import_mod([
     os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'inference.py'),
     os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'postprocessing.py')
diff --git a/tests/examples/log_parsing/test_postprocessing.py b/tests/examples/log_parsing/test_postprocessing.py
index 8627eb1e1c..c32ec5623d 100644
--- a/tests/examples/log_parsing/test_postprocessing.py
+++ b/tests/examples/log_parsing/test_postprocessing.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,9 +25,11 @@
 from _utils.dataset_manager import DatasetManager
 from morpheus.config import Config
 from morpheus.messages import MessageMeta
+from morpheus.messages import MultiResponseMessage
+from morpheus.messages import TensorMemory
 
 
-def build_post_proc_message(messages_mod, dataset_cudf: DatasetManager, log_test_data_dir: str):
+def build_post_proc_message(dataset_cudf: DatasetManager, log_test_data_dir: str):
     input_file = os.path.join(TEST_DIRS.validation_data_dir, 'log-parsing-validation-data-input.csv')
     input_df = dataset_cudf[input_file]
     meta = MessageMeta(input_df)
@@ -35,29 +37,26 @@ def build_post_proc_message(messages_mod, dataset_cudf: DatasetManager, log_test
     # we have tensor data for the first five rows
     count = 5
     tensors = {}
-    for tensor_name in ['confidences', 'input_ids', 'labels', 'seq_ids']:
+    for tensor_name in ['confidences', 'input_ids', 'labels']:
         tensor_file = os.path.join(log_test_data_dir, f'{tensor_name}.csv')
         host_data = np.loadtxt(tensor_file, delimiter=',')
         tensors[tensor_name] = cp.asarray(host_data)
 
-    memory = messages_mod.PostprocMemoryLogParsing(count=5, **tensors)
-    return messages_mod.MultiPostprocLogParsingMessage(meta=meta,
-                                                       mess_offset=0,
-                                                       mess_count=count,
-                                                       memory=memory,
-                                                       offset=0,
-                                                       count=count)
+    host__seq_data = np.loadtxt(os.path.join(log_test_data_dir, 'seq_ids.csv'), delimiter=',')
+    seq_ids = cp.zeros((count, 3), dtype=cp.uint32)
+    seq_ids[:, 0] = cp.arange(0, 5, dtype=cp.uint32)
+    seq_ids[:, 2] = cp.asarray(host__seq_data)[:, 2]
+    tensors['seq_ids'] = seq_ids
 
+    memory = TensorMemory(count=5, tensors=tensors)
+    return MultiResponseMessage(meta=meta, mess_offset=0, mess_count=count, memory=memory, offset=0, count=count)
 
-@pytest.mark.use_python
-@pytest.mark.import_mod([
-    os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'messages.py'),
-    os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'postprocessing.py')
-])
+
+@pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'log_parsing', 'postprocessing.py'))
 def test_log_parsing_post_processing_stage(config: Config,
                                            dataset_cudf: DatasetManager,
                                            import_mod: typing.List[types.ModuleType]):
-    messages_mod, postprocessing_mod = import_mod
+    postprocessing_mod = import_mod
 
     model_vocab_file = os.path.join(TEST_DIRS.data_dir, 'bert-base-cased-vocab.txt')
     log_test_data_dir = os.path.join(TEST_DIRS.tests_data_dir, 'examples/log_parsing')
@@ -67,10 +66,10 @@ def test_log_parsing_post_processing_stage(config: Config,
                                                              vocab_path=model_vocab_file,
                                                              model_config_path=model_config_file)
 
-    post_proc_message = build_post_proc_message(messages_mod, dataset_cudf, log_test_data_dir)
+    post_proc_message = build_post_proc_message(dataset_cudf, log_test_data_dir)
     expected_df = dataset_cudf.pandas[os.path.join(log_test_data_dir, 'expected_out.csv')]
 
     out_meta = stage._postprocess(post_proc_message)
 
     assert isinstance(out_meta, MessageMeta)
-    DatasetManager.assert_compare_df(out_meta._df, expected_df)
+    DatasetManager.assert_compare_df(out_meta.df, expected_df)
diff --git a/tests/examples/ransomware_detection/conftest.py b/tests/examples/ransomware_detection/conftest.py
index 8f1d901f6b..e1c5e2541d 100644
--- a/tests/examples/ransomware_detection/conftest.py
+++ b/tests/examples/ransomware_detection/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/ransomware_detection/test_create_features.py b/tests/examples/ransomware_detection/test_create_features.py
index 6739460369..4d095ccf2f 100644
--- a/tests/examples/ransomware_detection/test_create_features.py
+++ b/tests/examples/ransomware_detection/test_create_features.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/examples/ransomware_detection/test_preprocessing.py b/tests/examples/ransomware_detection/test_preprocessing.py
index 36874b4e2f..a72225edbf 100644
--- a/tests/examples/ransomware_detection/test_preprocessing.py
+++ b/tests/examples/ransomware_detection/test_preprocessing.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -139,10 +139,10 @@ def test_merge_curr_and_prev_snapshots(self, config: Config, rwd_conf: dict, dat
         }
 
         expected_df = dataset_pandas['examples/ransomware_detection/dask_results.csv'].fillna('')
-        expected_df['pid_process'][1] = 'test_val1'
-        expected_df['pid_process'][3] = 'test_val2'
+        expected_df.loc[1, 'pid_process'] = 'test_val1'
+        expected_df.loc[3, 'pid_process'] = 'test_val2'
 
-        expected_df['snapshot_id'] = snapshot_ids
+        expected_df.loc[:, 'snapshot_id'] = snapshot_ids
         expected_df.index = expected_df.snapshot_id
 
         stage._merge_curr_and_prev_snapshots(df, source_pid_process)
diff --git a/tests/io/data_storage/test_file_system_storage.py b/tests/io/data_storage/test_file_system_storage.py
index 322d294b0e..1d3f59a985 100644
--- a/tests/io/data_storage/test_file_system_storage.py
+++ b/tests/io/data_storage/test_file_system_storage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/io/data_storage/test_in_memory_storage.py b/tests/io/data_storage/test_in_memory_storage.py
index 54d14ec1e5..23aefb61f8 100644
--- a/tests/io/data_storage/test_in_memory_storage.py
+++ b/tests/io/data_storage/test_in_memory_storage.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/io/test_data_manager.py b/tests/io/test_data_manager.py
index e718f24efb..3b36520796 100644
--- a/tests/io/test_data_manager.py
+++ b/tests/io/test_data_manager.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/io/test_data_record.py b/tests/io/test_data_record.py
index 21ab86533c..3f2b5a12ea 100644
--- a/tests/io/test_data_record.py
+++ b/tests/io/test_data_record.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/io/test_loader_registry.py b/tests/io/test_loader_registry.py
index 6a7c92f8f6..cbeccf69e5 100644
--- a/tests/io/test_loader_registry.py
+++ b/tests/io/test_loader_registry.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -33,7 +33,7 @@ def test_loader_registry_contains():
     loaders = DataLoaderRegistry.list()
     for loader in should_have:
         # Make sure all the loaders in the registry are in the list
-        assert (loader in loaders)
+        assert (loader in loaders)  # pylint: disable=unsupported-membership-test
 
         # Make sure all the loaders in the list are contained in the registry
         assert (DataLoaderRegistry.contains(loader))
diff --git a/tests/io/test_serializers.py b/tests/io/test_serializers.py
index 5b559034f6..b2b5bace5f 100755
--- a/tests/io/test_serializers.py
+++ b/tests/io/test_serializers.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/llm/conftest.py b/tests/llm/conftest.py
index 105fa9162c..3519166635 100644
--- a/tests/llm/conftest.py
+++ b/tests/llm/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,59 +17,9 @@
 
 import pytest
 
-from _utils import import_or_skip
 from _utils import require_env_variable
 
 
-@pytest.fixture(name="nemollm", scope='session')
-def nemollm_fixture(fail_missing: bool):
-    """
-    Fixture to ensure nemollm is installed
-    """
-    skip_reason = ("Tests for the NeMoLLMService require the nemollm package to be installed, to install this run:\n"
-                   "`mamba install -n base -c conda-forge conda-merge`\n"
-                   "`conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml "
-                   "  docker/conda/environments/cuda${CUDA_VER}_examples.yml"
-                   "  > .tmp/merged.yml && mamba env update -n morpheus --file .tmp/merged.yml`")
-    yield import_or_skip("nemollm", reason=skip_reason, fail_missing=fail_missing)
-
-
-@pytest.fixture(name="openai", scope='session')
-def openai_fixture(fail_missing: bool):
-    """
-    Fixture to ensure openai is installed
-    """
-    skip_reason = ("Tests for the OpenAIChatService require the openai package to be installed, to install this run:\n"
-                   "`mamba install -n base -c conda-forge conda-merge`\n"
-                   "`conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml "
-                   "  docker/conda/environments/cuda${CUDA_VER}_examples.yml"
-                   "  > .tmp/merged.yml && mamba env update -n morpheus --file .tmp/merged.yml`")
-    yield import_or_skip("openai", reason=skip_reason, fail_missing=fail_missing)
-
-
-@pytest.mark.usefixtures("openai")
-@pytest.fixture(name="mock_chat_completion")
-def mock_chat_completion_fixture():
-    with mock.patch("openai.ChatCompletion") as mock_chat_completion:
-        mock_chat_completion.return_value = mock_chat_completion
-
-        response = {'choices': [{'message': {'content': 'test_output'}}]}
-        mock_chat_completion.create.return_value = response.copy()
-        mock_chat_completion.acreate = mock.AsyncMock(return_value=response.copy())
-        yield mock_chat_completion
-
-
-@pytest.mark.usefixtures("nemollm")
-@pytest.fixture(name="mock_nemollm")
-def mock_nemollm_fixture():
-    with mock.patch("nemollm.NemoLLM") as mock_nemollm:
-        mock_nemollm.return_value = mock_nemollm
-        mock_nemollm.generate_multiple.return_value = ["test_output"]
-        mock_nemollm.post_process_generate_response.return_value = {"text": "test_output"}
-
-        yield mock_nemollm
-
-
 @pytest.fixture(name="countries")
 def countries_fixture():
     yield [
@@ -146,3 +96,32 @@ def serpapi_api_key_fixture():
     yield require_env_variable(
         varname="SERPAPI_API_KEY",
         reason="serpapi integration tests require the `SERPAPI_API_KEY` environment variable to be defined.")
+
+
+@pytest.mark.usefixtures("nemollm")
+@pytest.fixture(name="mock_nemollm")
+def mock_nemollm_fixture(mock_nemollm: mock.MagicMock):
+
+    from concurrent.futures import Future
+
+    def generate_mock(*_, **kwargs):
+
+        fut = Future()
+
+        fut.set_result(kwargs["prompt"])
+
+        return fut
+
+    mock_nemollm.generate.side_effect = generate_mock
+
+    def generate_multiple_mock(*_, **kwargs):
+
+        assert kwargs["return_type"] == "text", "Only text return type is supported for mocking."
+
+        prompts: list[str] = kwargs["prompts"]
+
+        return list(prompts)
+
+    mock_nemollm.generate_multiple.side_effect = generate_multiple_mock
+
+    yield mock_nemollm
diff --git a/tests/llm/nodes/conftest.py b/tests/llm/nodes/conftest.py
index aa2c654550..cdaaf52118 100644
--- a/tests/llm/nodes/conftest.py
+++ b/tests/llm/nodes/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/llm/nodes/test_extractor_node.py b/tests/llm/nodes/test_extractor_node.py
index 9faeb67e33..196d99403a 100644
--- a/tests/llm/nodes/test_extractor_node.py
+++ b/tests/llm/nodes/test_extractor_node.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,12 +16,10 @@
 import cudf
 
 from _utils.llm import execute_node
-# pylint: disable=morpheus-incorrect-lib-from-import
-from morpheus._lib.messages import MessageMeta as MessageMetaCpp
-# pylint: enable=morpheus-incorrect-lib-from-import
 from morpheus.llm import LLMNodeBase
 from morpheus.llm.nodes.extracter_node import ExtracterNode
 from morpheus.messages import ControlMessage
+from morpheus.messages import MessageMeta
 
 
 def test_constructor():
@@ -40,7 +38,7 @@ def test_execute():
     reptiles = ['lizards', 'snakes', 'turtles', 'frogs', 'toads']
     df = cudf.DataFrame({"insects": insects.copy(), "mammals": mammals.copy(), "reptiles": reptiles.copy()})
     message = ControlMessage()
-    message.payload(MessageMetaCpp(df))
+    message.payload(MessageMeta(df))
 
     task_dict = {"input_keys": ["mammals", "reptiles"]}
     node = ExtracterNode()
diff --git a/tests/llm/nodes/test_langchain_agent_node.py b/tests/llm/nodes/test_langchain_agent_node.py
index 29cd7f3548..c3846f8465 100644
--- a/tests/llm/nodes/test_langchain_agent_node.py
+++ b/tests/llm/nodes/test_langchain_agent_node.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,8 +16,14 @@
 from unittest import mock
 
 import pytest
+from langchain.agents import AgentType
+from langchain.agents import Tool
+from langchain.agents import initialize_agent
+from langchain.chat_models import ChatOpenAI  # pylint: disable=no-name-in-module
 
 from _utils.llm import execute_node
+from _utils.llm import mk_mock_langchain_tool
+from _utils.llm import mk_mock_openai_response
 from morpheus.llm import LLMNodeBase
 from morpheus.llm.nodes.langchain_agent_node import LangChainAgentNode
 
@@ -50,8 +56,90 @@ def test_execute(
     expected_output: list,
     expected_calls: list[mock.call],
 ):
+    # Tests the execute method of the LangChainAgentNode with a mocked agent_executor
     mock_agent_executor.arun.return_value = arun_return
 
     node = LangChainAgentNode(agent_executor=mock_agent_executor)
     assert execute_node(node, **values) == expected_output
     mock_agent_executor.arun.assert_has_calls(expected_calls)
+
+
+def test_execute_tools(mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock]):
+    # Tests the execute method of the LangChainAgentNode with a a mocked tools and chat completion
+    (_, mock_async_client) = mock_chat_completion
+    chat_responses = [
+        'I should check Tool1\nAction: Tool1\nAction Input: "name a reptile"',
+        'I should check Tool2\nAction: Tool2\nAction Input: "name of a day of the week"',
+        'I should check Tool1\nAction: Tool1\nAction Input: "name a reptile"',
+        'I should check Tool2\nAction: Tool2\nAction Input: "name of a day of the week"',
+        'Observation: Answer: Yes!\nI now know the final answer.\nFinal Answer: Yes!'
+    ]
+    mock_responses = [mk_mock_openai_response([response]) for response in chat_responses]
+    mock_async_client.chat.completions.create.side_effect = mock_responses
+
+    llm_chat = ChatOpenAI(model="fake-model", openai_api_key="fake-key")
+
+    mock_tool1 = mk_mock_langchain_tool(["lizard", "frog"])
+    mock_tool2 = mk_mock_langchain_tool(["Tuesday", "Thursday"])
+
+    tools = [
+        Tool(name="Tool1",
+             func=mock_tool1.run,
+             coroutine=mock_tool1.arun,
+             description="useful for when you need to know the name of a reptile"),
+        Tool(name="Tool2",
+             func=mock_tool2.run,
+             coroutine=mock_tool2.arun,
+             description="useful for when you need to know the day of the week")
+    ]
+
+    agent = initialize_agent(tools,
+                             llm_chat,
+                             agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+                             verbose=True,
+                             handle_parsing_errors=True,
+                             early_stopping_method="generate",
+                             return_intermediate_steps=False)
+
+    node = LangChainAgentNode(agent_executor=agent)
+
+    assert execute_node(node, input="input1") == "Yes!"
+
+
+def test_execute_error(mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock]):
+    # Tests the execute method of the LangChainAgentNode with a a mocked tools and chat completion
+    (_, mock_async_client) = mock_chat_completion
+    chat_responses = [
+        'I should check Tool1\nAction: Tool1\nAction Input: "name a reptile"',
+        'I should check Tool2\nAction: Tool2\nAction Input: "name of a day of the week"',
+        'Observation: Answer: Yes!\nI now know the final answer.\nFinal Answer: Yes!'
+    ]
+    mock_responses = [mk_mock_openai_response([response]) for response in chat_responses]
+    mock_async_client.chat.completions.create.side_effect = mock_responses
+
+    llm_chat = ChatOpenAI(model="fake-model", openai_api_key="fake-key")
+
+    mock_tool1 = mk_mock_langchain_tool(["lizard"])
+    mock_tool2 = mk_mock_langchain_tool(RuntimeError("unittest"))
+
+    tools = [
+        Tool(name="Tool1",
+             func=mock_tool1.run,
+             coroutine=mock_tool1.arun,
+             description="useful for when you need to know the name of a reptile"),
+        Tool(name="Tool2",
+             func=mock_tool2.run,
+             coroutine=mock_tool2.arun,
+             description="useful for when you need to test tool errors")
+    ]
+
+    agent = initialize_agent(tools,
+                             llm_chat,
+                             agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+                             verbose=True,
+                             handle_parsing_errors=True,
+                             early_stopping_method="generate",
+                             return_intermediate_steps=False)
+
+    node = LangChainAgentNode(agent_executor=agent)
+    assert execute_node(node, input="input1") == "Error running agent: unittest"
diff --git a/tests/llm/nodes/test_langchain_agent_node_pipe.py b/tests/llm/nodes/test_langchain_agent_node_pipe.py
index 39e1824cea..376d218673 100644
--- a/tests/llm/nodes/test_langchain_agent_node_pipe.py
+++ b/tests/llm/nodes/test_langchain_agent_node_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,8 +15,6 @@
 
 from unittest import mock
 
-import pytest
-
 from _utils import assert_results
 from _utils.dataset_manager import DatasetManager
 from morpheus.config import Config
@@ -41,7 +39,6 @@ def _build_engine(mock_agent_executor: mock.MagicMock) -> LLMEngine:
     return engine
 
 
-@pytest.mark.use_python
 def test_pipeline(config: Config, dataset_cudf: DatasetManager, mock_agent_executor: mock.MagicMock):
     input_df = dataset_cudf["filter_probs.csv"]
     expected_df = input_df.copy(deep=True)
diff --git a/tests/llm/nodes/test_llm_generate_node.py b/tests/llm/nodes/test_llm_generate_node.py
index 9fa8b9c4de..b3845b8791 100644
--- a/tests/llm/nodes/test_llm_generate_node.py
+++ b/tests/llm/nodes/test_llm_generate_node.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/llm/nodes/test_llm_generate_node_pipe.py b/tests/llm/nodes/test_llm_generate_node_pipe.py
index 90f5eaf1f9..19534dc31d 100644
--- a/tests/llm/nodes/test_llm_generate_node_pipe.py
+++ b/tests/llm/nodes/test_llm_generate_node_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,8 +15,6 @@
 
 from unittest import mock
 
-import pytest
-
 import cudf
 
 from _utils import assert_results
@@ -42,7 +40,6 @@ def _build_engine(mock_llm_client: mock.MagicMock) -> LLMEngine:
     return engine
 
 
-@pytest.mark.use_python
 def test_pipeline(config: Config, mock_llm_client: mock.MagicMock):
     expected_output = ["response1", "response2"]
     mock_llm_client.generate_batch_async.return_value = expected_output.copy()
diff --git a/tests/llm/nodes/test_llm_retriever_node.py b/tests/llm/nodes/test_llm_retriever_node.py
index 6834532a91..ed4e952e34 100644
--- a/tests/llm/nodes/test_llm_retriever_node.py
+++ b/tests/llm/nodes/test_llm_retriever_node.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/llm/nodes/test_llm_retriever_node_pipe.py b/tests/llm/nodes/test_llm_retriever_node_pipe.py
index 0128cd7a27..2dd6dba8df 100644
--- a/tests/llm/nodes/test_llm_retriever_node_pipe.py
+++ b/tests/llm/nodes/test_llm_retriever_node_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -52,7 +52,6 @@ def _build_engine(vdb_service, **similarity_search_kwargs) -> LLMEngine:
     return engine
 
 
-@pytest.mark.use_python
 def test_pipeline(config: Config):
     expected_output = [[1, 2, 3], [4, 5, 6]]
 
@@ -83,7 +82,6 @@ def test_pipeline(config: Config):
     assert actual_df.to_pandas().equals(expected_df.to_pandas())
 
 
-@pytest.mark.use_python
 @pytest.mark.milvus
 def test_pipeline_with_milvus(config: Config,
                               milvus_service: MilvusVectorDBService,
diff --git a/tests/llm/nodes/test_prompt_template_node.py b/tests/llm/nodes/test_prompt_template_node.py
index fc7ea02170..6100ab8b47 100644
--- a/tests/llm/nodes/test_prompt_template_node.py
+++ b/tests/llm/nodes/test_prompt_template_node.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/llm/nodes/test_prompt_template_node_pipe.py b/tests/llm/nodes/test_prompt_template_node_pipe.py
index 5786dc48a9..013b5de43b 100644
--- a/tests/llm/nodes/test_prompt_template_node_pipe.py
+++ b/tests/llm/nodes/test_prompt_template_node_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -49,7 +49,6 @@ def _build_engine(template: str, template_format: str) -> LLMEngine:
     return engine
 
 
-@pytest.mark.use_python
 @pytest.mark.parametrize("template,template_format,values,expected_output",
                          [("Hello {name}!",
                            "f-string", {
diff --git a/tests/llm/nodes/test_rag_node.py b/tests/llm/nodes/test_rag_node.py
index 2aec3d1b1f..d5325a70b6 100644
--- a/tests/llm/nodes/test_rag_node.py
+++ b/tests/llm/nodes/test_rag_node.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/llm/nodes/test_rag_node_pipe.py b/tests/llm/nodes/test_rag_node_pipe.py
index ed3bd8fd66..2e15b9c9fd 100644
--- a/tests/llm/nodes/test_rag_node_pipe.py
+++ b/tests/llm/nodes/test_rag_node_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,8 +15,6 @@
 
 from unittest import mock
 
-import pytest
-
 import cudf
 
 from _utils import assert_results
@@ -53,7 +51,6 @@ def _build_engine(mock_llm_client: mock.MagicMock) -> LLMEngine:
     return engine
 
 
-@pytest.mark.use_python
 def test_pipeline(config: Config, mock_llm_client: mock.MagicMock):
     expected_output = ["response1", "response2"]
     mock_llm_client.generate_batch_async.return_value = expected_output.copy()
diff --git a/tests/llm/services/conftest.py b/tests/llm/services/conftest.py
index 214658102d..8e128406b2 100644
--- a/tests/llm/services/conftest.py
+++ b/tests/llm/services/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/llm/services/test_llm_service.py b/tests/llm/services/test_llm_service.py
index 9060963899..fecc1551a8 100644
--- a/tests/llm/services/test_llm_service.py
+++ b/tests/llm/services/test_llm_service.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/llm/services/test_llm_service_pipe.py b/tests/llm/services/test_llm_service_pipe.py
index d861a12b39..e6e2f8bbf3 100644
--- a/tests/llm/services/test_llm_service_pipe.py
+++ b/tests/llm/services/test_llm_service_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,11 +15,10 @@
 
 from unittest import mock
 
-import pytest
-
 import cudf
 
 from _utils import assert_results
+from _utils.llm import mk_mock_openai_response
 from morpheus.config import Config
 from morpheus.llm import LLMEngine
 from morpheus.llm.nodes.extracter_node import ExtracterNode
@@ -36,7 +35,7 @@
 from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
 
 
-def _build_engine(llm_service_cls: LLMService):
+def _build_engine(llm_service_cls: type[LLMService]):
     llm_service = llm_service_cls()
     llm_clinet = llm_service.get_client(model_name="test_model")
 
@@ -48,7 +47,9 @@ def _build_engine(llm_service_cls: LLMService):
     return engine
 
 
-def _run_pipeline(config: Config, llm_service_cls: LLMService, country_prompts: list[str],
+def _run_pipeline(config: Config,
+                  llm_service_cls: type[LLMService],
+                  country_prompts: list[str],
                   capital_responses: list[str]):
     """
     Loosely patterned after `examples/llm/completion`
@@ -73,32 +74,24 @@ def _run_pipeline(config: Config, llm_service_cls: LLMService, country_prompts:
     assert_results(sink.get_results())
 
 
-@pytest.mark.use_python
-@mock.patch("asyncio.wrap_future")
-@mock.patch("asyncio.gather", new_callable=mock.AsyncMock)
-def test_completion_pipe_nemo(
-        mock_asyncio_gather: mock.AsyncMock,
-        mock_asyncio_wrap_future: mock.MagicMock,  # pylint: disable=unused-argument
-        config: Config,
-        mock_nemollm: mock.MagicMock,
-        country_prompts: list[str],
-        capital_responses: list[str]):
-    mock_asyncio_gather.return_value = [mock.MagicMock() for _ in range(len(country_prompts))]
+def test_completion_pipe_nemo(config: Config,
+                              mock_nemollm: mock.MagicMock,
+                              country_prompts: list[str],
+                              capital_responses: list[str]):
     mock_nemollm.post_process_generate_response.side_effect = [{"text": response} for response in capital_responses]
     _run_pipeline(config, NeMoLLMService, country_prompts, capital_responses)
 
 
-@pytest.mark.use_python
 def test_completion_pipe_openai(config: Config,
-                                mock_chat_completion: mock.MagicMock,
+                                mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock],
                                 country_prompts: list[str],
                                 capital_responses: list[str]):
-    mock_chat_completion.acreate.side_effect = [{
-        "choices": [{
-            'message': {
-                'content': response
-            }
-        }]
-    } for response in capital_responses]
+    (mock_client, mock_async_client) = mock_chat_completion
+    mock_async_client.chat.completions.create.side_effect = [
+        mk_mock_openai_response([response]) for response in capital_responses
+    ]
 
     _run_pipeline(config, OpenAIChatService, country_prompts, capital_responses)
+
+    mock_client.chat.completions.create.assert_not_called()
+    mock_async_client.chat.completions.create.assert_called()
diff --git a/tests/llm/services/test_nemo_llm_client.py b/tests/llm/services/test_nemo_llm_client.py
index 04ffa3750d..d6cc295ea4 100644
--- a/tests/llm/services/test_nemo_llm_client.py
+++ b/tests/llm/services/test_nemo_llm_client.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,95 +13,104 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import asyncio
 from unittest import mock
 
 import pytest
 
 from morpheus.llm.services.llm_service import LLMClient
-from morpheus.llm.services.nemo_llm_service import NeMoLLMClient
+from morpheus.llm.services.nemo_llm_service import NeMoLLMService
 
 
-def test_constructor(mock_nemollm: mock.MagicMock, mock_nemo_service: mock.MagicMock):
-    client = NeMoLLMClient(mock_nemo_service, "test_model", additional_arg="test_arg")
+def test_constructor():
+    client = NeMoLLMService(api_key="dummy").get_client(model_name="test_model", additional_arg="test_arg")
+
     assert isinstance(client, LLMClient)
-    mock_nemollm.assert_not_called()
 
 
-def test_get_input_names(mock_nemollm: mock.MagicMock, mock_nemo_service: mock.MagicMock):
-    client = NeMoLLMClient(mock_nemo_service, "test_model", additional_arg="test_arg")
+def test_get_input_names():
+    client = NeMoLLMService(api_key="dummy").get_client(model_name="test_model", additional_arg="test_arg")
+
     assert client.get_input_names() == ["prompt"]
-    mock_nemollm.assert_not_called()
 
 
-def test_generate(mock_nemollm: mock.MagicMock, mock_nemo_service: mock.MagicMock):
-    client = NeMoLLMClient(mock_nemo_service, "test_model", additional_arg="test_arg")
-    assert client.generate({'prompt': "test_prompt"}) == "test_output"
+def test_generate(mock_nemollm: mock.MagicMock):
+
+    client = NeMoLLMService(api_key="dummy").get_client(model_name="test_model", customization_id="test_custom_id")
+
+    assert client.generate(prompt="test_prompt") == "test_prompt"
+
     mock_nemollm.generate_multiple.assert_called_once_with(model="test_model",
                                                            prompts=["test_prompt"],
                                                            return_type="text",
-                                                           additional_arg="test_arg")
+                                                           customization_id="test_custom_id")
+
 
+def test_generate_batch(mock_nemollm: mock.MagicMock):
 
-def test_generate_batch(mock_nemollm: mock.MagicMock, mock_nemo_service: mock.MagicMock):
-    mock_nemollm.generate_multiple.return_value = ["output1", "output2"]
+    client = NeMoLLMService(api_key="dummy").get_client(model_name="test_model", customization_id="test_custom_id")
+
+    assert client.generate_batch({'prompt': ["prompt1", "prompt2"]}) == ["prompt1", "prompt2"]
 
-    client = NeMoLLMClient(mock_nemo_service, "test_model", additional_arg="test_arg")
-    assert client.generate_batch({'prompt': ["prompt1", "prompt2"]}) == ["output1", "output2"]
     mock_nemollm.generate_multiple.assert_called_once_with(model="test_model",
                                                            prompts=["prompt1", "prompt2"],
                                                            return_type="text",
-                                                           additional_arg="test_arg")
+                                                           customization_id="test_custom_id")
+
+
+async def test_generate_async(mock_nemollm: mock.MagicMock):
 
+    client = NeMoLLMService(api_key="dummy").get_client(model_name="test_model", customization_id="test_custom_id")
 
-@mock.patch("asyncio.wrap_future")
-@mock.patch("asyncio.gather", new_callable=mock.AsyncMock)
-def test_generate_async(
-        mock_asyncio_gather: mock.AsyncMock,
-        mock_asyncio_wrap_future: mock.MagicMock,  # pylint: disable=unused-argument
-        mock_nemollm: mock.MagicMock,
-        mock_nemo_service: mock.MagicMock):
-    mock_asyncio_gather.return_value = [mock.MagicMock()]
+    results = await client.generate_async(prompt="test_prompt")
 
-    client = NeMoLLMClient(mock_nemo_service, "test_model", additional_arg="test_arg")
-    results = asyncio.run(client.generate_async({'prompt': "test_prompt"}))
     assert results == "test_output"
+
     mock_nemollm.generate.assert_called_once_with("test_model",
                                                   "test_prompt",
                                                   return_type="async",
-                                                  additional_arg="test_arg")
-
-
-@mock.patch("asyncio.wrap_future")
-@mock.patch("asyncio.gather", new_callable=mock.AsyncMock)
-def test_generate_batch_async(
-        mock_asyncio_gather: mock.AsyncMock,
-        mock_asyncio_wrap_future: mock.MagicMock,  # pylint: disable=unused-argument
-        mock_nemollm: mock.MagicMock,
-        mock_nemo_service: mock.MagicMock):
-    mock_asyncio_gather.return_value = [mock.MagicMock(), mock.MagicMock()]
-    mock_nemollm.post_process_generate_response.side_effect = [{"text": "output1"}, {"text": "output2"}]
-
-    client = NeMoLLMClient(mock_nemo_service, "test_model", additional_arg="test_arg")
-    results = asyncio.run(client.generate_batch_async({'prompt': ["prompt1", "prompt2"]}))
-    assert results == ["output1", "output2"]
+                                                  customization_id="test_custom_id")
+
+
+async def test_generate_batch_async(mock_nemollm: mock.MagicMock):
+    # mock_nemollm.post_process_generate_response.side_effect = [{"text": "output1"}, {"text": "output2"}]
+
+    client = NeMoLLMService(api_key="dummy").get_client(model_name="test_model", customization_id="test_custom_id")
+
+    results = await client.generate_batch_async({'prompt': ["prompt1", "prompt2"]})
+
+    assert results == ["test_output", "test_output"]
+
     mock_nemollm.generate.assert_has_calls([
-        mock.call("test_model", "prompt1", return_type="async", additional_arg="test_arg"),
-        mock.call("test_model", "prompt2", return_type="async", additional_arg="test_arg")
+        mock.call("test_model", "prompt1", return_type="async", customization_id="test_custom_id"),
+        mock.call("test_model", "prompt2", return_type="async", customization_id="test_custom_id")
     ])
 
 
-@mock.patch("asyncio.wrap_future")
-@mock.patch("asyncio.gather", new_callable=mock.AsyncMock)
-def test_generate_batch_async_error(
-        mock_asyncio_gather: mock.AsyncMock,
-        mock_asyncio_wrap_future: mock.MagicMock,  # pylint: disable=unused-argument
-        mock_nemollm: mock.MagicMock,
-        mock_nemo_service: mock.MagicMock):
-    mock_asyncio_gather.return_value = [mock.MagicMock(), mock.MagicMock()]
+async def test_generate_batch_async_error(mock_nemollm: mock.MagicMock):
     mock_nemollm.post_process_generate_response.return_value = {"status": "fail", "msg": "unittest"}
 
-    client = NeMoLLMClient(mock_nemo_service, "test_model", additional_arg="test_arg")
+    client = NeMoLLMService(api_key="dummy").get_client(model_name="test_model", customization_id="test_custom_id")
 
     with pytest.raises(RuntimeError, match="unittest"):
-        asyncio.run(client.generate_batch_async({'prompt': ["prompt1", "prompt2"]}))
+        await client.generate_batch_async({'prompt': ["prompt1", "prompt2"]})
+
+
+async def test_generate_batch_async_error_retry(mock_nemollm: mock.MagicMock):
+
+    count = 0
+
+    def mock_post_process_generate_response(*args, **_):
+        nonlocal count
+        if count < 2:
+            count += 1
+            return {"status": "fail", "msg": "unittest"}
+        return {"status": "success", "text": args[0]}
+
+    mock_nemollm.post_process_generate_response.side_effect = mock_post_process_generate_response
+
+    client = NeMoLLMService(api_key="dummy", retry_count=2).get_client(model_name="test_model",
+                                                                       customization_id="test_custom_id")
+
+    results = await client.generate_batch_async({'prompt': ["prompt1", "prompt2"]})
+
+    assert results == ["prompt1", "prompt2"]
diff --git a/tests/llm/services/test_nemo_llm_service.py b/tests/llm/services/test_nemo_llm_service.py
index c466a7bb5f..739d44e31b 100644
--- a/tests/llm/services/test_nemo_llm_service.py
+++ b/tests/llm/services/test_nemo_llm_service.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -38,11 +38,14 @@ def test_constructor(mock_nemollm: mock.MagicMock, api_key: str, org_id: str):
     expected_org_id = org_id or env_org_id
 
     NeMoLLMService(api_key=api_key, org_id=org_id)
-    mock_nemollm.assert_called_once_with(api_key=expected_api_key, org_id=expected_org_id)
+    _, kwargs = mock_nemollm.call_args_list[-1]
+
+    assert kwargs["api_key"] == expected_api_key
+    assert kwargs["org_id"] == expected_org_id
 
 
 def test_get_client():
     service = NeMoLLMService(api_key="test_api_key")
-    client = service.get_client("test_model")
+    client = service.get_client(model_name="test_model")
 
     assert isinstance(client, NeMoLLMClient)
diff --git a/tests/llm/services/test_openai_chat_client.py b/tests/llm/services/test_openai_chat_client.py
index acd2564341..577c83c7bb 100644
--- a/tests/llm/services/test_openai_chat_client.py
+++ b/tests/llm/services/test_openai_chat_client.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,14 +18,19 @@
 
 import pytest
 
+from _utils.llm import mk_mock_openai_response
 from morpheus.llm.services.llm_service import LLMClient
 from morpheus.llm.services.openai_chat_service import OpenAIChatClient
+from morpheus.llm.services.openai_chat_service import OpenAIChatService
 
 
-def test_constructor(mock_chat_completion: mock.MagicMock):
-    client = OpenAIChatClient(model_name="test_model")
+@pytest.mark.parametrize("max_retries", [5, 10])
+def test_constructor(mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock], max_retries: int):
+    client = OpenAIChatClient(OpenAIChatService(), model_name="test_model", max_retries=max_retries)
     assert isinstance(client, LLMClient)
-    mock_chat_completion.assert_not_called()
+
+    for mock_client in mock_chat_completion:
+        mock_client.assert_called_once_with(max_retries=max_retries)
 
 
 @pytest.mark.parametrize("use_async", [True, False])
@@ -34,87 +39,79 @@ def test_constructor(mock_chat_completion: mock.MagicMock):
     [({
         "prompt": "test_prompt", "assistant": "assistant_response"
     },
-      True,
-      [{
-          "role": "system", "content": "You are a helpful assistant."
-      }, {
+      True, [{
           "role": "user", "content": "test_prompt"
       }, {
           "role": "assistant", "content": "assistant_response"
-      }]),
-     ({
-         "prompt": "test_prompt"
-     },
-      False, [{
-          "role": "system", "content": "You are a helpful assistant."
-      }, {
+      }]), ({
+          "prompt": "test_prompt"
+      }, False, [{
           "role": "user", "content": "test_prompt"
       }])])
 @pytest.mark.parametrize("temperature", [0, 1, 2])
-def test_generate(mock_chat_completion: mock.MagicMock,
+def test_generate(mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock],
                   use_async: bool,
                   input_dict: dict[str, str],
                   set_assistant: bool,
                   expected_messages: list[dict],
                   temperature: int):
-    client = OpenAIChatClient(model_name="test_model", set_assistant=set_assistant, temperature=temperature)
+    (mock_client, mock_async_client) = mock_chat_completion
+    client = OpenAIChatClient(OpenAIChatService(),
+                              model_name="test_model",
+                              set_assistant=set_assistant,
+                              temperature=temperature)
     if use_async:
-        results = asyncio.run(client.generate_async(input_dict))
-        mock_chat_completion.acreate.assert_called_once_with(model="test_model",
-                                                             messages=expected_messages,
-                                                             temperature=temperature)
+        results = asyncio.run(client.generate_async(**input_dict))
+        mock_async_client.chat.completions.create.assert_called_once_with(model="test_model",
+                                                                          messages=expected_messages,
+                                                                          temperature=temperature)
+        mock_client.chat.completions.create.assert_not_called()
 
     else:
-        results = client.generate(input_dict)
-        mock_chat_completion.create.assert_called_once_with(model="test_model",
-                                                            messages=expected_messages,
-                                                            temperature=temperature)
+        results = client.generate(**input_dict)
+        mock_client.chat.completions.create.assert_called_once_with(model="test_model",
+                                                                    messages=expected_messages,
+                                                                    temperature=temperature)
+        mock_async_client.chat.completions.create.assert_not_called()
 
     assert results == "test_output"
 
 
 @pytest.mark.parametrize("use_async", [True, False])
-@pytest.mark.parametrize(
-    "inputs, set_assistant, expected_messages",
-    [({
-        "prompt": ["prompt1", "prompt2"], "assistant": ["assistant1", "assistant2"]
-    },
-      True,
-      [[{
-          "role": "system", "content": "You are a helpful assistant."
-      }, {
-          "role": "user", "content": "prompt1"
-      }, {
-          "role": "assistant", "content": "assistant1"
-      }],
-       [{
-           "role": "system", "content": "You are a helpful assistant."
-       }, {
-           "role": "user", "content": "prompt2"
-       }, {
-           "role": "assistant", "content": "assistant2"
-       }]]),
-     ({
-         "prompt": ["prompt1", "prompt2"]
-     },
-      False,
-      [[{
-          "role": "system", "content": "You are a helpful assistant."
-      }, {
-          "role": "user", "content": "prompt1"
-      }], [{
-          "role": "system", "content": "You are a helpful assistant."
-      }, {
-          "role": "user", "content": "prompt2"
-      }]])])
+@pytest.mark.parametrize("inputs, set_assistant, expected_messages",
+                         [({
+                             "prompt": ["prompt1", "prompt2"], "assistant": ["assistant1", "assistant2"]
+                         },
+                           True,
+                           [[{
+                               "role": "user", "content": "prompt1"
+                           }, {
+                               "role": "assistant", "content": "assistant1"
+                           }], [{
+                               "role": "user", "content": "prompt2"
+                           }, {
+                               "role": "assistant", "content": "assistant2"
+                           }]]),
+                          ({
+                              "prompt": ["prompt1", "prompt2"]
+                          },
+                           False, [[{
+                               "role": "user", "content": "prompt1"
+                           }], [{
+                               "role": "user", "content": "prompt2"
+                           }]])])
 @pytest.mark.parametrize("temperature", [0, 1, 2])
-def test_generate_batch(mock_chat_completion: mock.MagicMock,
+def test_generate_batch(mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock],
                         use_async: bool,
                         inputs: dict[str, list[str]],
                         set_assistant: bool,
                         expected_messages: list[list[dict]],
                         temperature: int):
-    client = OpenAIChatClient(model_name="test_model", set_assistant=set_assistant, temperature=temperature)
+    (mock_client, mock_async_client) = mock_chat_completion
+    client = OpenAIChatClient(OpenAIChatService(),
+                              model_name="test_model",
+                              set_assistant=set_assistant,
+                              temperature=temperature)
 
     expected_results = ["test_output" for _ in range(len(inputs["prompt"]))]
     expected_calls = [
@@ -123,28 +120,22 @@ def test_generate_batch(mock_chat_completion: mock.MagicMock,
 
     if use_async:
         results = asyncio.run(client.generate_batch_async(inputs))
-        mock_chat_completion.acreate.assert_has_calls(expected_calls, any_order=False)
+        mock_async_client.chat.completions.create.assert_has_calls(expected_calls, any_order=False)
+        mock_client.chat.completions.create.assert_not_called()
+
     else:
         results = client.generate_batch(inputs)
-        mock_chat_completion.create.assert_has_calls(expected_calls, any_order=False)
+        mock_client.chat.completions.create.assert_has_calls(expected_calls, any_order=False)
+        mock_async_client.chat.completions.create.assert_not_called()
 
     assert results == expected_results
 
 
-@pytest.mark.parametrize("completion", [{
-    "choices": []
-}, {
-    "choices": [{}]
-}, {
-    "choices": [{
-        "message": {}
-    }]
-}],
-                         ids=["no_choices", "no_message", "no_content"])
-def test_generate_invalid_completions(mock_chat_completion: mock.MagicMock, completion: dict):
-    mock_chat_completion.create.return_value = completion
-
-    client = OpenAIChatClient(model_name="test_model")
+@pytest.mark.parametrize("completion", [[], [None]], ids=["no_choices", "no_content"])
+@pytest.mark.usefixtures("mock_chat_completion")
+def test_extract_completion_errors(completion: list):
+    client = OpenAIChatClient(OpenAIChatService(), model_name="test_model")
+    mock_completion = mk_mock_openai_response(completion)
 
     with pytest.raises(ValueError):
-        client.generate({"prompt": "test_prompt"})
+        client._extract_completion(mock_completion)
diff --git a/tests/llm/services/test_openai_chat_service.py b/tests/llm/services/test_openai_chat_service.py
index b269ef9792..8746d52535 100644
--- a/tests/llm/services/test_openai_chat_service.py
+++ b/tests/llm/services/test_openai_chat_service.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -29,20 +29,27 @@ def test_constructor():
 
 def test_get_client():
     service = OpenAIChatService()
-    client = service.get_client("test_model")
+    client = service.get_client(model_name="test_model")
 
     assert isinstance(client, OpenAIChatClient)
 
 
 @pytest.mark.parametrize("set_assistant", [True, False])
 @pytest.mark.parametrize("temperature", [0, 1, 2])
+@pytest.mark.parametrize("max_retries", [5, 10])
 @mock.patch("morpheus.llm.services.openai_chat_service.OpenAIChatClient")
-def test_get_client_passed_args(mock_client: mock.MagicMock, set_assistant: bool, temperature: int):
+def test_get_client_passed_args(mock_client: mock.MagicMock, set_assistant: bool, temperature: int, max_retries: int):
     service = OpenAIChatService()
-    service.get_client("test_model", set_assistant=set_assistant, temperature=temperature, test='this')
+    service.get_client(model_name="test_model",
+                       set_assistant=set_assistant,
+                       temperature=temperature,
+                       test='this',
+                       max_retries=max_retries)
 
     # Ensure the get_client method passed on the set_assistant and model kwargs
-    mock_client.assert_called_once_with(model_name="test_model",
+    mock_client.assert_called_once_with(service,
+                                        model_name="test_model",
                                         set_assistant=set_assistant,
                                         temperature=temperature,
-                                        test='this')
+                                        test='this',
+                                        max_retries=max_retries)
diff --git a/tests/llm/task_handlers/test_simple_task_handler.py b/tests/llm/task_handlers/test_simple_task_handler.py
index 079f62e35e..3cac5e1d0e 100644
--- a/tests/llm/task_handlers/test_simple_task_handler.py
+++ b/tests/llm/task_handlers/test_simple_task_handler.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,12 +17,10 @@
 
 from _utils.dataset_manager import DatasetManager
 from _utils.llm import execute_task_handler
-# pylint: disable=morpheus-incorrect-lib-from-import
-from morpheus._lib.messages import MessageMeta as MessageMetaCpp
-# pylint: enable=morpheus-incorrect-lib-from-import
 from morpheus.llm import LLMTaskHandler
 from morpheus.llm.task_handlers.simple_task_handler import SimpleTaskHandler
 from morpheus.messages import ControlMessage
+from morpheus.messages import MessageMeta
 
 
 def test_constructor():
@@ -44,7 +42,7 @@ def test_try_handle(dataset_cudf: DatasetManager):
     expected_df['reptiles'] = reptiles.copy()
 
     message = ControlMessage()
-    message.payload(MessageMetaCpp(df))
+    message.payload(MessageMeta(df))
 
     task_handler = SimpleTaskHandler(['reptiles'])
 
diff --git a/tests/llm/test_agents_simple_pipe.py b/tests/llm/test_agents_simple_pipe.py
index 69b57e76cf..8839154009 100644
--- a/tests/llm/test_agents_simple_pipe.py
+++ b/tests/llm/test_agents_simple_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,15 +13,21 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import pandas as pd
+import os
+import re
+from unittest import mock
+
+import langchain
 import pytest
-from langchain import OpenAI
 from langchain.agents import AgentType
 from langchain.agents import initialize_agent
 from langchain.agents import load_tools
+from langchain.agents.tools import Tool
+from langchain.utilities import serpapi
 
 import cudf
 
+from _utils import assert_results
 from morpheus.config import Config
 from morpheus.llm import LLMEngine
 from morpheus.llm.nodes.extracter_node import ExtracterNode
@@ -31,16 +37,31 @@
 from morpheus.pipeline.linear_pipeline import LinearPipeline
 from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
 from morpheus.stages.llm.llm_engine_stage import LLMEngineStage
+from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
 from morpheus.stages.output.in_memory_sink_stage import InMemorySinkStage
 from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
 from morpheus.utils.concat_df import concat_dataframes
 
 
+@pytest.fixture(name="questions")
+def questions_fixture():
+    return ["Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?"]
+
+
 def _build_agent_executor(model_name: str):
 
-    llm = OpenAI(model=model_name, temperature=0)
+    llm = langchain.OpenAI(model=model_name, temperature=0, cache=False)
 
-    tools = load_tools(["serpapi", "llm-math"], llm=llm)
+    # Explicitly construct the serpapi tool, loading it via load_tools makes it too difficult to mock
+    tools = [
+        Tool(
+            name="Search",
+            description="",
+            func=serpapi.SerpAPIWrapper().run,
+            coroutine=serpapi.SerpAPIWrapper().arun,
+        )
+    ]
+    tools.extend(load_tools(["llm-math"], llm=llm))
 
     agent_executor = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
 
@@ -62,10 +83,10 @@ def _build_engine(model_name: str):
     return engine
 
 
-def _run_pipeline(config: Config, questions: list[str], model_name: str = "test_model") -> pd.DataFrame:
-    """
-    Loosely patterned after `examples/llm/completion`
-    """
+def _run_pipeline(config: Config,
+                  questions: list[str],
+                  model_name: str = "test_model",
+                  expected_df: cudf.DataFrame = None) -> InMemorySinkStage:
     source_df = cudf.DataFrame({"questions": questions})
 
     completion_task = {"task_type": "completion", "task_dict": {"input_keys": ["questions"]}}
@@ -78,23 +99,90 @@ def _run_pipeline(config: Config, questions: list[str], model_name: str = "test_
         DeserializeStage(config, message_type=ControlMessage, task_type="llm_engine", task_payload=completion_task))
 
     pipe.add_stage(LLMEngineStage(config, engine=_build_engine(model_name=model_name)))
-    sink = pipe.add_stage(InMemorySinkStage(config))
 
-    pipe.run()
+    if expected_df is not None:
+        sink = pipe.add_stage(CompareDataFrameStage(config, compare_df=expected_df))
+    else:
+        sink = pipe.add_stage(InMemorySinkStage(config))
 
-    result_df = concat_dataframes(sink.get_messages())
+    pipe.run()
 
-    return result_df
+    return sink
 
 
-@pytest.mark.usefixtures("openai")
-@pytest.mark.usefixtures("openai_api_key")
-@pytest.mark.usefixtures("serpapi_api_key")
-@pytest.mark.use_python
-def test_agents_simple_pipe_integration_openai(config: Config):
-    questions = ["Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?"]
-    result_df = _run_pipeline(config, questions=questions, model_name="gpt-3.5-turbo-instruct")
+@pytest.mark.usefixtures("openai", "openai_api_key", "serpapi_api_key")
+def test_agents_simple_pipe_integration_openai(config: Config, questions: list[str]):
+    sink = _run_pipeline(config, questions=questions, model_name="gpt-3.5-turbo-instruct")
 
+    result_df = concat_dataframes(sink.get_messages())
     assert len(result_df.columns) == 2
-    assert any(result_df.columns == ["questions", "response"])
-    assert float(result_df.response.iloc[0]) >= 3.7
+    assert sorted(result_df.columns) == ["questions", "response"]
+
+    response_txt = result_df.response.iloc[0]
+    response_match = re.match(r".*(\d+\.\d+)\.?$", response_txt)
+    assert response_match is not None
+    assert float(response_match.group(1)) >= 3.7
+
+
+@pytest.mark.usefixtures("openai", "restore_environ")
+@mock.patch("langchain.utilities.serpapi.SerpAPIWrapper.aresults")
+@mock.patch("langchain.OpenAI._agenerate", autospec=True)  # autospec is needed as langchain will inspect the function
+def test_agents_simple_pipe(mock_openai_agenerate: mock.AsyncMock,
+                            mock_serpapi_aresults: mock.AsyncMock,
+                            config: Config,
+                            questions: list[str]):
+    os.environ.update({'OPENAI_API_KEY': 'test_api_key', 'SERPAPI_API_KEY': 'test_api_key'})
+
+    from langchain.schema import Generation
+    from langchain.schema import LLMResult
+
+    assert serpapi.SerpAPIWrapper().aresults is mock_serpapi_aresults
+
+    model_name = "test_model"
+
+    mock_openai_agenerate.side_effect = [
+        LLMResult(generations=[[
+            Generation(text="I should use a search engine to find information about unittests.\n"
+                       "Action: Search\nAction Input: \"unittests\"",
+                       generation_info={
+                           'finish_reason': 'stop', 'logprobs': None
+                       })
+        ]],
+                  llm_output={
+                      'token_usage': {}, 'model_name': model_name
+                  }),
+        LLMResult(generations=[[
+            Generation(text="I now know the final answer.\nFinal Answer: 3.99.",
+                       generation_info={
+                           'finish_reason': 'stop', 'logprobs': None
+                       })
+        ]],
+                  llm_output={
+                      'token_usage': {}, 'model_name': model_name
+                  })
+    ]
+
+    mock_serpapi_aresults.return_value = {
+        'answer_box': {
+            'answer': '25 years', 'link': 'http://unit.test', 'people_also_search_for': []
+        },
+        'inline_people_also_search_for': [],
+        'knowledge_graph': {},
+        'organic_results': [],
+        'pagination': {},
+        'related_questions': [],
+        'related_searches': [],
+        'search_information': {},
+        'search_metadata': {},
+        'search_parameters': {},
+        'serpapi_pagination': None
+    }
+
+    expected_df = cudf.DataFrame({'questions': questions, 'response': ["3.99."]})
+
+    sink = _run_pipeline(config, questions=questions, model_name=model_name, expected_df=expected_df)
+
+    assert len(mock_openai_agenerate.mock_calls) == 2
+    mock_serpapi_aresults.assert_awaited_once()
+
+    assert_results(sink.get_results())
diff --git a/tests/llm/test_completion_pipe.py b/tests/llm/test_completion_pipe.py
index 615e7954e0..106eb39586 100644
--- a/tests/llm/test_completion_pipe.py
+++ b/tests/llm/test_completion_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import logging
 from unittest import mock
 
 import pytest
@@ -20,6 +21,8 @@
 import cudf
 
 from _utils import assert_results
+from _utils.environment import set_env
+from _utils.llm import mk_mock_openai_response
 from morpheus.config import Config
 from morpheus.llm import LLMEngine
 from morpheus.llm.nodes.extracter_node import ExtracterNode
@@ -36,8 +39,10 @@
 from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
 from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
 
+logger = logging.getLogger(__name__)
 
-def _build_engine(llm_service_cls: LLMService, model_name: str = "test_model"):
+
+def _build_engine(llm_service_cls: type[LLMService], model_name: str = "test_model"):
     llm_service = llm_service_cls()
     llm_client = llm_service.get_client(model_name=model_name)
 
@@ -53,7 +58,7 @@ def _build_engine(llm_service_cls: LLMService, model_name: str = "test_model"):
 
 
 def _run_pipeline(config: Config,
-                  llm_service_cls: LLMService,
+                  llm_service_cls: type[LLMService],
                   countries: list[str],
                   capital_responses: list[str],
                   model_name: str = "test_model") -> dict:
@@ -69,10 +74,15 @@ def _run_pipeline(config: Config,
 
     pipe.set_source(InMemorySourceStage(config, dataframes=[source_df]))
 
+    deserialize_config = config
     pipe.add_stage(
-        DeserializeStage(config, message_type=ControlMessage, task_type="llm_engine", task_payload=completion_task))
+        DeserializeStage(deserialize_config,
+                         message_type=ControlMessage,
+                         task_type="llm_engine",
+                         task_payload=completion_task))
 
     pipe.add_stage(LLMEngineStage(config, engine=_build_engine(llm_service_cls, model_name=model_name)))
+
     sink = pipe.add_stage(CompareDataFrameStage(config, compare_df=expected_df))
 
     pipe.run()
@@ -81,43 +91,37 @@ def _run_pipeline(config: Config,
 
 
 @pytest.mark.usefixtures("nemollm")
-@pytest.mark.use_python
-@mock.patch("asyncio.wrap_future")
-@mock.patch("asyncio.gather", new_callable=mock.AsyncMock)
-def test_completion_pipe_nemo(
-        mock_asyncio_gather: mock.AsyncMock,
-        mock_asyncio_wrap_future: mock.MagicMock,  # pylint: disable=unused-argument
-        config: Config,
-        mock_nemollm: mock.MagicMock,
-        countries: list[str],
-        capital_responses: list[str]):
-    mock_asyncio_gather.return_value = [mock.MagicMock() for _ in range(len(countries))]
-    mock_nemollm.post_process_generate_response.side_effect = [{"text": response} for response in capital_responses]
-    results = _run_pipeline(config, NeMoLLMService, countries=countries, capital_responses=capital_responses)
-    assert_results(results)
+def test_completion_pipe_nemo(config: Config,
+                              mock_nemollm: mock.MagicMock,
+                              countries: list[str],
+                              capital_responses: list[str]):
+
+    # Set a dummy key to bypass the API key check
+    with set_env(NGC_API_KEY="test"):
+
+        mock_nemollm.post_process_generate_response.side_effect = [{"text": response} for response in capital_responses]
+        results = _run_pipeline(config, NeMoLLMService, countries=countries, capital_responses=capital_responses)
+        assert_results(results)
 
 
 @pytest.mark.usefixtures("openai")
-@pytest.mark.use_python
 def test_completion_pipe_openai(config: Config,
-                                mock_chat_completion: mock.MagicMock,
+                                mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock],
                                 countries: list[str],
                                 capital_responses: list[str]):
-    mock_chat_completion.acreate.side_effect = [{
-        "choices": [{
-            'message': {
-                'content': response
-            }
-        }]
-    } for response in capital_responses]
+    (mock_client, mock_async_client) = mock_chat_completion
+    mock_async_client.chat.completions.create.side_effect = [
+        mk_mock_openai_response([response]) for response in capital_responses
+    ]
 
     results = _run_pipeline(config, OpenAIChatService, countries=countries, capital_responses=capital_responses)
     assert_results(results)
+    mock_client.chat.completions.create.assert_not_called()
+    mock_async_client.chat.completions.create.assert_called()
 
 
 @pytest.mark.usefixtures("nemollm")
 @pytest.mark.usefixtures("ngc_api_key")
-@pytest.mark.use_python
 def test_completion_pipe_integration_nemo(config: Config, countries: list[str], capital_responses: list[str]):
     results = _run_pipeline(config,
                             NeMoLLMService,
@@ -131,7 +135,6 @@ def test_completion_pipe_integration_nemo(config: Config, countries: list[str],
 
 @pytest.mark.usefixtures("openai")
 @pytest.mark.usefixtures("openai_api_key")
-@pytest.mark.use_python
 def test_completion_pipe_integration_openai(config: Config, countries: list[str], capital_responses: list[str]):
     results = _run_pipeline(config,
                             OpenAIChatService,
diff --git a/tests/llm/test_extractor_simple_task_handler_pipe.py b/tests/llm/test_extractor_simple_task_handler_pipe.py
index 31d726163f..d9caee7b16 100644
--- a/tests/llm/test_extractor_simple_task_handler_pipe.py
+++ b/tests/llm/test_extractor_simple_task_handler_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,8 +13,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import pytest
-
 from _utils import assert_results
 from _utils.dataset_manager import DatasetManager
 from morpheus.config import Config
@@ -37,7 +35,6 @@ def _build_engine() -> LLMEngine:
     return engine
 
 
-@pytest.mark.use_python
 def test_extractor_simple_task_handler_pipeline(config: Config, dataset_cudf: DatasetManager):
     input_df = dataset_cudf["filter_probs.csv"]
     expected_df = input_df.copy(deep=True)
diff --git a/tests/llm/test_llm.py b/tests/llm/test_llm.py
index cbec02a4a4..608db37a8f 100644
--- a/tests/llm/test_llm.py
+++ b/tests/llm/test_llm.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -172,7 +172,7 @@ class SinkNode(LLMNodeBase):
         def get_input_names(self):
             return ["nested_answers", "answers"]
 
-        async def execute(self, context: LLMContext):
+        async def execute(self, context: LLMContext):  # pylint: disable=invalid-overridden-method
 
             nested_answers = context.get_input("nested_answers")
             answers = context.get_input("answers")
@@ -188,7 +188,7 @@ class SimpleTaskHandler(LLMTaskHandler):
         def get_input_names(self):
             return ["response"]
 
-        async def try_handle(self, context: LLMContext):
+        async def try_handle(self, context: LLMContext):  # pylint: disable=invalid-overridden-method
 
             with context.message().payload().mutable_dataframe() as df:
                 df["response"] = context.get_input()
diff --git a/tests/llm/test_rag_standalone_pipe.py b/tests/llm/test_rag_standalone_pipe.py
index cd44e0a152..e394420845 100644
--- a/tests/llm/test_rag_standalone_pipe.py
+++ b/tests/llm/test_rag_standalone_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,6 +25,8 @@
 from _utils import TEST_DIRS
 from _utils import assert_results
 from _utils.dataset_manager import DatasetManager
+from _utils.llm import mk_mock_openai_response
+from _utils.milvus import populate_milvus
 from morpheus.config import Config
 from morpheus.config import PipelineModes
 from morpheus.llm import LLMEngine
@@ -33,7 +35,6 @@
 from morpheus.llm.task_handlers.simple_task_handler import SimpleTaskHandler
 from morpheus.messages import ControlMessage
 from morpheus.pipeline.linear_pipeline import LinearPipeline
-from morpheus.service.vdb.milvus_vector_db_service import MilvusVectorDBService
 from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
 from morpheus.stages.llm.llm_engine_stage import LLMEngineStage
 from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
@@ -52,13 +53,6 @@
 EXPECTED_RESPONSE = "Ransomware, Phishing, Malware, Denial of Service, SQL injection, and Password Attacks"
 
 
-def _populate_milvus(milvus_server_uri: str, collection_name: str, resource_kwargs: dict, df: cudf.DataFrame):
-    milvus_service = MilvusVectorDBService(uri=milvus_server_uri)
-    milvus_service.create(collection_name, **resource_kwargs)
-    resource_service = milvus_service.load_resource(name=collection_name)
-    resource_service.insert_dataframe(name=collection_name, df=df, **resource_kwargs)
-
-
 def _build_engine(llm_service_name: str,
                   model_name: str,
                   milvus_server_uri: str,
@@ -100,7 +94,6 @@ def _run_pipeline(config: Config,
                   collection_name: str,
                   repeat_count: int,
                   utils_mod: types.ModuleType) -> dict:
-
     config.mode = PipelineModes.NLP
     config.edge_buffer_size = 128
     config.pipeline_batch_size = 1024
@@ -134,27 +127,21 @@ def _run_pipeline(config: Config,
 
 @pytest.mark.usefixtures("nemollm")
 @pytest.mark.milvus
-@pytest.mark.use_python
 @pytest.mark.use_cudf
 @pytest.mark.parametrize("repeat_count", [5])
 @pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'llm/common/utils.py'))
-@mock.patch("asyncio.wrap_future")
-@mock.patch("asyncio.gather", new_callable=mock.AsyncMock)
-def test_rag_standalone_pipe_nemo(
-        mock_asyncio_gather: mock.AsyncMock,
-        mock_asyncio_wrap_future: mock.MagicMock,  # pylint: disable=unused-argument
-        config: Config,
-        mock_nemollm: mock.MagicMock,
-        dataset: DatasetManager,
-        milvus_server_uri: str,
-        repeat_count: int,
-        import_mod: types.ModuleType):
+def test_rag_standalone_pipe_nemo(config: Config,
+                                  mock_nemollm: mock.MagicMock,
+                                  dataset: DatasetManager,
+                                  milvus_server_uri: str,
+                                  repeat_count: int,
+                                  import_mod: types.ModuleType):
     collection_name = "test_rag_standalone_pipe_nemo"
-    _populate_milvus(milvus_server_uri=milvus_server_uri,
-                     collection_name=collection_name,
-                     resource_kwargs=import_mod.build_milvus_config(embedding_size=EMBEDDING_SIZE),
-                     df=dataset["service/milvus_rss_data.json"])
-    mock_asyncio_gather.return_value = [mock.MagicMock() for _ in range(repeat_count)]
+    populate_milvus(milvus_server_uri=milvus_server_uri,
+                    collection_name=collection_name,
+                    resource_kwargs=import_mod.build_default_milvus_config(embedding_size=EMBEDDING_SIZE),
+                    df=dataset["service/milvus_rss_data.json"],
+                    overwrite=True)
     mock_nemollm.post_process_generate_response.side_effect = [{"text": EXPECTED_RESPONSE} for _ in range(repeat_count)]
     results = _run_pipeline(
         config=config,
@@ -170,29 +157,26 @@ def test_rag_standalone_pipe_nemo(
 
 @pytest.mark.usefixtures("openai")
 @pytest.mark.milvus
-@pytest.mark.use_python
 @pytest.mark.use_cudf
 @pytest.mark.parametrize("repeat_count", [5])
 @pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'llm/common/utils.py'))
 def test_rag_standalone_pipe_openai(config: Config,
-                                    mock_chat_completion: mock.MagicMock,
+                                    mock_chat_completion: tuple[mock.MagicMock, mock.MagicMock],
                                     dataset: DatasetManager,
                                     milvus_server_uri: str,
                                     repeat_count: int,
                                     import_mod: types.ModuleType):
-    mock_chat_completion.acreate.side_effect = [{
-        "choices": [{
-            'message': {
-                'content': EXPECTED_RESPONSE
-            }
-        }]
-    } for _ in range(repeat_count)]
+    (mock_client, mock_async_client) = mock_chat_completion
+    mock_async_client.chat.completions.create.side_effect = [
+        mk_mock_openai_response([EXPECTED_RESPONSE]) for _ in range(repeat_count)
+    ]
 
     collection_name = "test_rag_standalone_pipe_openai"
-    _populate_milvus(milvus_server_uri=milvus_server_uri,
-                     collection_name=collection_name,
-                     resource_kwargs=import_mod.build_milvus_config(embedding_size=EMBEDDING_SIZE),
-                     df=dataset["service/milvus_rss_data.json"])
+    populate_milvus(milvus_server_uri=milvus_server_uri,
+                    collection_name=collection_name,
+                    resource_kwargs=import_mod.build_default_milvus_config(embedding_size=EMBEDDING_SIZE),
+                    df=dataset["service/milvus_rss_data.json"],
+                    overwrite=True)
 
     results = _run_pipeline(
         config=config,
@@ -204,12 +188,13 @@ def test_rag_standalone_pipe_openai(config: Config,
         utils_mod=import_mod,
     )
     assert_results(results)
+    mock_client.chat.completions.create.assert_not_called()
+    mock_async_client.chat.completions.create.assert_called()
 
 
 @pytest.mark.usefixtures("nemollm")
 @pytest.mark.usefixtures("ngc_api_key")
 @pytest.mark.milvus
-@pytest.mark.use_python
 @pytest.mark.use_cudf
 @pytest.mark.parametrize("repeat_count", [5])
 @pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'llm/common/utils.py'))
@@ -219,10 +204,11 @@ def test_rag_standalone_pipe_integration_nemo(config: Config,
                                               repeat_count: int,
                                               import_mod: types.ModuleType):
     collection_name = "test_rag_standalone_pipe__integration_nemo"
-    _populate_milvus(milvus_server_uri=milvus_server_uri,
-                     collection_name=collection_name,
-                     resource_kwargs=import_mod.build_milvus_config(embedding_size=EMBEDDING_SIZE),
-                     df=dataset["service/milvus_rss_data.json"])
+    populate_milvus(milvus_server_uri=milvus_server_uri,
+                    collection_name=collection_name,
+                    resource_kwargs=import_mod.build_default_milvus_config(embedding_size=EMBEDDING_SIZE),
+                    df=dataset["service/milvus_rss_data.json"],
+                    overwrite=True)
     results = _run_pipeline(
         config=config,
         llm_service_name="nemollm",
@@ -241,7 +227,6 @@ def test_rag_standalone_pipe_integration_nemo(config: Config,
 @pytest.mark.usefixtures("openai")
 @pytest.mark.usefixtures("openai_api_key")
 @pytest.mark.milvus
-@pytest.mark.use_python
 @pytest.mark.use_cudf
 @pytest.mark.parametrize("repeat_count", [5])
 @pytest.mark.import_mod(os.path.join(TEST_DIRS.examples_dir, 'llm/common/utils.py'))
@@ -251,10 +236,11 @@ def test_rag_standalone_pipe_integration_openai(config: Config,
                                                 repeat_count: int,
                                                 import_mod: types.ModuleType):
     collection_name = "test_rag_standalone_pipe_integration_openai"
-    _populate_milvus(milvus_server_uri=milvus_server_uri,
-                     collection_name=collection_name,
-                     resource_kwargs=import_mod.build_milvus_config(embedding_size=EMBEDDING_SIZE),
-                     df=dataset["service/milvus_rss_data.json"])
+    populate_milvus(milvus_server_uri=milvus_server_uri,
+                    collection_name=collection_name,
+                    resource_kwargs=import_mod.build_default_milvus_config(embedding_size=EMBEDDING_SIZE),
+                    df=dataset["service/milvus_rss_data.json"],
+                    overwrite=True)
 
     results = _run_pipeline(
         config=config,
diff --git a/tests/llm/test_vdb_upload_pipe.py b/tests/llm/test_vdb_upload_pipe.py
old mode 100644
new mode 100755
index fb0599f938..f6051ebb55
--- a/tests/llm/test_vdb_upload_pipe.py
+++ b/tests/llm/test_vdb_upload_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -27,93 +27,89 @@
 from _utils import mk_async_infer
 from _utils.dataset_manager import DatasetManager
 from morpheus.config import Config
-from morpheus.config import PipelineModes
-from morpheus.pipeline.linear_pipeline import LinearPipeline
 from morpheus.service.vdb.milvus_vector_db_service import MilvusVectorDBService
-from morpheus.stages.inference.triton_inference_stage import TritonInferenceStage
-from morpheus.stages.input.rss_source_stage import RSSSourceStage
-from morpheus.stages.output.write_to_vector_db_stage import WriteToVectorDBStage
-from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
-from morpheus.stages.preprocess.preprocess_nlp_stage import PreprocessNLPStage
-
-EMBEDDING_SIZE = 384
-MODEL_MAX_BATCH_SIZE = 64
-MODEL_FEA_LENGTH = 512
-
-
-def _run_pipeline(config: Config,
-                  milvus_server_uri: str,
-                  collection_name: str,
-                  rss_files: list[str],
-                  utils_mod: types.ModuleType,
-                  web_scraper_stage_mod: types.ModuleType):
-
-    config.mode = PipelineModes.NLP
-    config.pipeline_batch_size = 1024
-    config.model_max_batch_size = MODEL_MAX_BATCH_SIZE
-    config.feature_length = MODEL_FEA_LENGTH
-    config.edge_buffer_size = 128
-    config.class_labels = [str(i) for i in range(EMBEDDING_SIZE)]
-
-    pipe = LinearPipeline(config)
-
-    pipe.set_source(
-        RSSSourceStage(config, feed_input=rss_files, batch_size=128, run_indefinitely=False, enable_cache=False))
-    pipe.add_stage(web_scraper_stage_mod.WebScraperStage(config, chunk_size=MODEL_FEA_LENGTH, enable_cache=False))
-    pipe.add_stage(DeserializeStage(config))
-
-    pipe.add_stage(
-        PreprocessNLPStage(config,
-                           vocab_hash_file=os.path.join(TEST_DIRS.data_dir, 'bert-base-uncased-hash.txt'),
-                           do_lower_case=True,
-                           truncation=True,
-                           add_special_tokens=False,
-                           column='page_content'))
-
-    pipe.add_stage(
-        TritonInferenceStage(config, model_name='test-model', server_url='test:0000', force_convert_inputs=True))
-
-    pipe.add_stage(
-        WriteToVectorDBStage(config,
-                             resource_name=collection_name,
-                             resource_kwargs=utils_mod.build_milvus_config(embedding_size=EMBEDDING_SIZE),
-                             recreate=True,
-                             service="milvus",
-                             uri=milvus_server_uri))
-    pipe.run()
 
 
 @pytest.mark.milvus
 @pytest.mark.use_python
 @pytest.mark.use_pandas
 @pytest.mark.import_mod([
-    os.path.join(TEST_DIRS.examples_dir, 'llm/common/utils.py'),
-    os.path.join(TEST_DIRS.examples_dir, 'llm/common/web_scraper_stage.py')
+    os.path.join(TEST_DIRS.examples_dir, 'llm/common'),
+    os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/helper.py'),
+    os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/run.py'),
+    os.path.join(TEST_DIRS.examples_dir, 'llm/vdb_upload/pipeline.py')
 ])
 @mock.patch('requests.Session')
 @mock.patch('tritonclient.grpc.InferenceServerClient')
+@pytest.mark.parametrize('is_rss_source, exclude_columns, expected_output_path, vdb_conf_file',
+                         [(True, ['id', 'embedding', 'source'],
+                           'service/milvus_rss_data.json',
+                           'examples/llm/vdb_upload/vdb_rss_source_config.yaml'),
+                          (False, ['id', 'embedding'],
+                           'examples/llm/vdb_upload/test_data_output.json',
+                           'examples/llm/vdb_upload/vdb_file_source_config.yaml')])
+@pytest.mark.skip(reason="Test is broken because of a bad merge. Re-enable once config.yamls are fixed.")
 def test_vdb_upload_pipe(mock_triton_client: mock.MagicMock,
                          mock_requests_session: mock.MagicMock,
-                         config: Config,
                          dataset: DatasetManager,
                          milvus_server_uri: str,
-                         import_mod: list[types.ModuleType]):
+                         import_mod: list[types.ModuleType],
+                         is_rss_source: str,
+                         exclude_columns: list[str],
+                         expected_output_path: str,
+                         vdb_conf_file: str):
+
     # We're going to use this DF to both provide values to the mocked Tritonclient,
     # but also to verify the values in the Milvus collection.
-    expected_values_df = dataset["service/milvus_rss_data.json"]
+    expected_values_df = dataset[expected_output_path]
+
+    if is_rss_source:
+        with open(os.path.join(TEST_DIRS.tests_data_dir, 'service/cisa_web_responses.json'), encoding='utf-8') as fh:
+            web_responses = json.load(fh)
+
+        # Mock requests, since we are feeding the RSSSourceStage with a local file it won't be using the
+        # requests lib, only web_scraper_stage.py will use it.
+        def mock_get_fn(url: str):
+            mock_response = mock.MagicMock()
+            mock_response.ok = True
+            mock_response.status_code = 200
+            mock_response.text = web_responses[url]
+            return mock_response
+
+        mock_requests_session.return_value = mock_requests_session
+        mock_requests_session.get.side_effect = mock_get_fn
+
+        # As page_content is used by other pipelines, we're just renaming it to content.
+        expected_values_df = expected_values_df.rename(columns={"page_content": "content"})
+        expected_values_df["source"] = "rss"
+
+    vdb_conf_path = os.path.join(TEST_DIRS.tests_data_dir, vdb_conf_file)
+
+    _, _, vdb_upload_run_mod, vdb_upload_pipeline_mod = import_mod
+
+    # Building final configuration. Here we're passing empty dictionaries for cli configuration.
+    vdb_pipeline_config = vdb_upload_run_mod.build_final_config(vdb_conf_path=vdb_conf_path,
+                                                                cli_source_conf={},
+                                                                cli_embeddings_conf={},
+                                                                cli_pipeline_conf={},
+                                                                cli_tokenizer_conf={},
+                                                                cli_vdb_conf={})
+
+    config: Config = vdb_pipeline_config["pipeline_config"]
 
-    with open(os.path.join(TEST_DIRS.tests_data_dir, 'service/cisa_web_responses.json'), encoding='utf-8') as fh:
-        web_responses = json.load(fh)
+    # Overwriting uri provided in the config file with milvus_server_uri
+    vdb_pipeline_config["vdb_config"]["uri"] = milvus_server_uri
+    collection_name = vdb_pipeline_config["vdb_config"]["resource_name"]
 
     # Mock Triton results
     mock_metadata = {
         "inputs": [{
-            "name": "input_ids", "datatype": "INT32", "shape": [-1, MODEL_FEA_LENGTH]
+            "name": "input_ids", "datatype": "INT32", "shape": [-1, config.feature_length]
         }, {
-            "name": "attention_mask", "datatype": "INT32", "shape": [-1, MODEL_FEA_LENGTH]
+            "name": "attention_mask", "datatype": "INT32", "shape": [-1, config.feature_length]
         }],
         "outputs": [{
-            "name": "output", "datatype": "FP32", "shape": [-1, EMBEDDING_SIZE]
+            "name": "output", "datatype": "FP32", "shape": [-1, len(config.class_labels)]
         }]
     }
     mock_model_config = {"config": {"max_batch_size": 256}}
@@ -127,7 +123,7 @@ def test_vdb_upload_pipe(mock_triton_client: mock.MagicMock,
 
     mock_result_values = expected_values_df['embedding'].to_list()
     inf_results = np.split(mock_result_values,
-                           range(MODEL_MAX_BATCH_SIZE, len(mock_result_values), MODEL_MAX_BATCH_SIZE))
+                           range(config.model_max_batch_size, len(mock_result_values), config.model_max_batch_size))
 
     # The triton client is going to perform a logits function, calculate the inverse of it here
     inf_results = [np.log((1.0 / x) - 1.0) * -1 for x in inf_results]
@@ -135,28 +131,7 @@ def test_vdb_upload_pipe(mock_triton_client: mock.MagicMock,
     async_infer = mk_async_infer(inf_results)
     mock_triton_client.async_infer.side_effect = async_infer
 
-    # Mock requests, since we are feeding the RSSSourceStage with a local file it won't be using the
-    # requests lib, only web_scraper_stage.py will use it.
-    def mock_get_fn(url: str):
-        mock_response = mock.MagicMock()
-        mock_response.ok = True
-        mock_response.status_code = 200
-        mock_response.text = web_responses[url]
-        return mock_response
-
-    mock_requests_session.return_value = mock_requests_session
-    mock_requests_session.get.side_effect = mock_get_fn
-
-    (utils_mod, web_scraper_stage_mod) = import_mod
-    collection_name = "test_vdb_upload_pipe"
-    rss_source_file = os.path.join(TEST_DIRS.tests_data_dir, 'service/cisa_rss_feed.xml')
-
-    _run_pipeline(config=config,
-                  milvus_server_uri=milvus_server_uri,
-                  collection_name=collection_name,
-                  rss_files=[rss_source_file],
-                  utils_mod=utils_mod,
-                  web_scraper_stage_mod=web_scraper_stage_mod)
+    vdb_upload_pipeline_mod.pipeline(**vdb_pipeline_config)
 
     milvus_service = MilvusVectorDBService(uri=milvus_server_uri)
     resource_service = milvus_service.load_resource(name=collection_name)
@@ -167,7 +142,7 @@ def mock_get_fn(url: str):
     db_df = pd.DataFrame(sorted(db_results, key=lambda k: k['id']))
 
     # The comparison function performs rounding on the values, but is unable to do so for array columns
-    dataset.assert_compare_df(db_df, expected_values_df[db_df.columns], exclude_columns=['id', 'embedding'])
+    dataset.assert_compare_df(db_df, expected_values_df[db_df.columns], exclude_columns=exclude_columns)
     db_emb = db_df['embedding']
     expected_emb = expected_values_df['embedding']
 
diff --git a/tests/messages/test_control_message.py b/tests/messages/test_control_message.py
index 1de6a9aa94..dc2c1a3c2b 100644
--- a/tests/messages/test_control_message.py
+++ b/tests/messages/test_control_message.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,11 +14,19 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import datetime
+
+import cupy as cp
 import pytest
 
 import cudf
 
 from morpheus import messages
+# pylint: disable=morpheus-incorrect-lib-from-import
+from morpheus.messages import TensorMemory
+
+# pylint: disable=unsupported-membership-test
+# pylint: disable=unsubscriptable-object
 
 
 @pytest.mark.usefixtures("config_only_cpp")
@@ -65,7 +73,7 @@ def test_control_message_tasks():
     # Ensure the underlying tasks cannot are not modified
     message = messages.ControlMessage()
     tasks = message.get_tasks()
-    tasks["type_a"] = [{"key_x", "value_x"}]
+    tasks["type_a"] = [{"key_x", "value_x"}]  # pylint: disable=unsupported-assignment-operation
     assert len(message.get_tasks()) == 0
 
     message = messages.ControlMessage()
@@ -81,28 +89,76 @@ def test_control_message_tasks():
 @pytest.mark.usefixtures("config_only_cpp")
 def test_control_message_metadata():
     message = messages.ControlMessage()
+
     message.set_metadata("key_x", "value_x")
     message.set_metadata("key_y", "value_y")
     message.set_metadata("key_z", "value_z")
 
-    assert len(message.get_metadata()) == 3
+    metadata_tags = message.list_metadata()
+    assert len(metadata_tags) == 3
 
-    assert "key_x" in message.get_metadata()
-    assert "key_y" in message.get_metadata()
-    assert "key_z" in message.get_metadata()
-    assert message.get_metadata()["key_x"] == "value_x"
-    assert message.get_metadata()["key_y"] == "value_y"
-    assert message.get_metadata()["key_z"] == "value_z"
+    assert "key_x" in metadata_tags
+    assert "key_y" in metadata_tags
+    assert "key_z" in metadata_tags
+    assert message.get_metadata("key_x") == "value_x"
+    assert message.get_metadata("key_y") == "value_y"
+    assert message.get_metadata("key_z") == "value_z"
 
     message.set_metadata("key_y", "value_yy")
 
     assert message.get_metadata()["key_y"] == "value_yy"
 
-    message.get_metadata()["not_mutable"] = 5
+    message.get_metadata()["not_mutable"] = 5  # pylint: disable=unsupported-assignment-operation
 
     assert "not_mutable" not in message.get_metadata()
 
 
+def test_set_and_get_metadata():
+    message = messages.ControlMessage()
+
+    # Test setting and getting metadata
+    message.set_metadata("test_key", "test_value")
+    assert message.get_metadata("test_key") == "test_value"
+
+    # Test getting metadata with a default value when the key does not exist
+    default_value = "default"
+    assert message.get_metadata("nonexistent_key", default_value) == default_value
+
+    # Test getting all metadata
+    message.set_metadata("another_key", "another_value")
+    all_metadata = message.get_metadata()
+    assert isinstance(all_metadata, dict)
+    assert all_metadata["test_key"] == "test_value"
+    assert all_metadata["another_key"] == "another_value"
+
+
+def test_list_metadata():
+    message = messages.ControlMessage()
+
+    # Setting some metadata
+    message.set_metadata("key1", "value1")
+    message.set_metadata("key2", "value2")
+    message.set_metadata("key3", "value3")
+
+    # Listing all metadata keys
+    keys = message.list_metadata()
+    assert isinstance(keys, list)
+    assert set(keys) == {"key1", "key2", "key3"}
+
+
+def test_get_metadata_default_value():
+    message = messages.ControlMessage()
+
+    # Setting metadata to test default value retrieval
+    message.set_metadata("existing_key", "existing_value")
+
+    # Getting an existing key without default value
+    assert message.get_metadata("existing_key") == "existing_value"
+
+    # Getting a non-existing key with default value provided
+    assert message.get_metadata("non_existing_key", "default_value") == "default_value"
+
+
 @pytest.mark.usefixtures("config_only_cpp")
 def test_control_message_get():
     raw_control_message = messages.ControlMessage({
@@ -148,7 +204,6 @@ def test_control_message_set():
     assert (control_message.has_task("load"))
 
 
-@pytest.mark.usefixtures("config_only_cpp")
 def test_control_message_set_and_get_payload():
     df = cudf.DataFrame({
         'col1': [1, 2, 3, 4, 5],
@@ -166,8 +221,182 @@ def test_control_message_set_and_get_payload():
     assert payload.df == payload2.df
 
 
-if (__name__ == "__main__"):
-    test_control_message_init()
-    test_control_message_get()
-    test_control_message_set()
-    test_control_message_set_and_get_payload()
+@pytest.mark.usefixtures("config_only_cpp")
+def test_set_and_get_timestamp_single():
+    # Create a ControlMessage instance
+    msg = messages.ControlMessage()
+
+    # Define test data
+    key = "group1::key1"
+    timestamp = datetime.datetime.now()
+
+    # Set timestamp
+    msg.set_timestamp(key, timestamp)
+
+    # Get timestamp and assert it's as expected
+    result = msg.get_timestamp(key, True)
+    assert result == timestamp, "The retrieved timestamp should match the one that was set."
+
+
+@pytest.mark.usefixtures("config_only_cpp")
+def test_filter_timestamp():
+    # Create a ControlMessage instance
+    msg = messages.ControlMessage()
+
+    # Setup test data
+    group = "group1"
+    timestamp1 = datetime.datetime.now()
+    timestamp2 = timestamp1 + datetime.timedelta(seconds=1)
+    msg.set_timestamp(f"{group}::key1", timestamp1)
+    msg.set_timestamp(f"{group}::key2", timestamp2)
+
+    # Use a regex that matches both keys
+    result = msg.filter_timestamp(f"{group}::key.*")
+
+    # Assert both keys are in the result and have correct timestamps
+    assert len(result) == 2, "Both keys should be present in the result."
+    assert result[f"{group}::key1"] == timestamp1, "The timestamp for key1 should match."
+    assert result[f"{group}::key2"] == timestamp2, "The timestamp for key2 should match."
+
+
+@pytest.mark.usefixtures("config_only_cpp")
+def test_get_timestamp_fail_if_nonexist():
+    # Create a ControlMessage instance
+    msg = messages.ControlMessage()
+
+    # Setup test data
+    key = "nonexistent_key"
+
+    # Attempt to get a timestamp for a non-existent key, expecting failure
+    with pytest.raises(ValueError) as exc_info:
+        msg.get_timestamp(key, True)
+    assert str(exc_info.value) == "Timestamp for the specified key does not exist."
+
+
+# Test setting and getting tensors with cupy arrays
+@pytest.mark.usefixtures("config_only_cpp")
+def test_tensors_setting_and_getting():
+    data = {"input_ids": cp.array([1, 2, 3]), "input_mask": cp.array([1, 1, 1]), "segment_ids": cp.array([0, 0, 1])}
+    message = messages.ControlMessage()
+    tensor_memory = TensorMemory(count=data["input_ids"].shape[0])
+    tensor_memory.set_tensors(data)
+
+    message.tensors(tensor_memory)
+
+    retrieved_tensors = message.tensors()
+    assert retrieved_tensors.count == data["input_ids"].shape[0], "Tensor count mismatch."
+
+    for key, val in data.items():
+        assert cp.allclose(retrieved_tensors.get_tensor(key), val), f"Mismatch in tensor data for {key}."
+
+
+# Test retrieving tensor names and checking specific tensor existence
+@pytest.mark.usefixtures("config_only_cpp")
+def test_tensor_names_and_existence():
+    tokenized_data = {
+        "input_ids": cp.array([1, 2, 3]), "input_mask": cp.array([1, 1, 1]), "segment_ids": cp.array([0, 0, 1])
+    }
+    message = messages.ControlMessage()
+    tensor_memory = TensorMemory(count=tokenized_data["input_ids"].shape[0], tensors=tokenized_data)
+
+    message.tensors(tensor_memory)
+    retrieved_tensors = message.tensors()
+
+    for key in tokenized_data:
+        assert key in retrieved_tensors.tensor_names, f"Tensor {key} should be listed in tensor names."
+        assert retrieved_tensors.has_tensor(key), f"Tensor {key} should exist."
+
+
+# Test manipulating tensors after retrieval
+@pytest.mark.usefixtures("config_only_cpp")
+def test_tensor_manipulation_after_retrieval():
+    tokenized_data = {
+        "input_ids": cp.array([1, 2, 3]), "input_mask": cp.array([1, 1, 1]), "segment_ids": cp.array([0, 0, 1])
+    }
+    message = messages.ControlMessage()
+    tensor_memory = TensorMemory(count=3, tensors=tokenized_data)
+
+    message.tensors(tensor_memory)
+
+    retrieved_tensors = message.tensors()
+    new_tensor = cp.array([4, 5, 6])
+    retrieved_tensors.set_tensor("new_tensor", new_tensor)
+
+    assert cp.allclose(retrieved_tensors.get_tensor("new_tensor"), new_tensor), "New tensor data mismatch."
+
+
+# Assuming there's functionality to update all tensors at once
+@pytest.mark.usefixtures("config_only_cpp")
+def test_tensor_update():
+    tokenized_data = {
+        "input_ids": cp.array([1, 2, 3]), "input_mask": cp.array([1, 1, 1]), "segment_ids": cp.array([0, 0, 1])
+    }
+    message = messages.ControlMessage()
+    tensor_memory = TensorMemory(count=3, tensors=tokenized_data)
+
+    message.tensors(tensor_memory)
+
+    # Update tensors with new data
+    new_tensors = {
+        "input_ids": cp.array([4, 5, 6]), "input_mask": cp.array([1, 0, 1]), "segment_ids": cp.array([1, 1, 0])
+    }
+
+    tensor_memory.set_tensors(new_tensors)
+
+    updated_tensors = message.tensors()
+
+    for key, val in new_tensors.items():
+        assert cp.allclose(updated_tensors.get_tensor(key), val), f"Mismatch in updated tensor data for {key}."
+
+
+@pytest.mark.usefixtures("config_only_cpp")
+def test_update_individual_tensor():
+    initial_data = {"input_ids": cp.array([1, 2, 3]), "input_mask": cp.array([1, 1, 1])}
+    update_data = {"input_ids": cp.array([4, 5, 6])}
+    message = messages.ControlMessage()
+    tensor_memory = TensorMemory(count=3, tensors=initial_data)
+    message.tensors(tensor_memory)
+
+    # Update one tensor and retrieve all to ensure update integrity
+    tensor_memory.set_tensor("input_ids", update_data["input_ids"])
+    retrieved_tensors = message.tensors()
+
+    # Check updated tensor
+    assert cp.allclose(retrieved_tensors.get_tensor("input_ids"),
+                       update_data["input_ids"]), "Input IDs update mismatch."
+    # Ensure other tensor remains unchanged
+    assert cp.allclose(retrieved_tensors.get_tensor("input_mask"),
+                       initial_data["input_mask"]), "Input mask should remain unchanged after updating input_ids."
+
+
+@pytest.mark.usefixtures("config_only_cpp")
+def test_behavior_with_empty_tensors():
+    message = messages.ControlMessage()
+    tensor_memory = TensorMemory(count=0)
+    message.tensors(tensor_memory)
+
+    retrieved_tensors = message.tensors()
+    assert retrieved_tensors.count == 0, "Tensor count should be 0 for empty tensor memory."
+    assert len(retrieved_tensors.tensor_names) == 0, "There should be no tensor names for empty tensor memory."
+
+
+@pytest.mark.usefixtures("config_only_cpp")
+def test_consistency_after_multiple_operations():
+    initial_data = {"input_ids": cp.array([1, 2, 3]), "input_mask": cp.array([1, 1, 1])}
+    message = messages.ControlMessage()
+    tensor_memory = TensorMemory(count=3, tensors=initial_data)
+    message.tensors(tensor_memory)
+
+    # Update a tensor
+    tensor_memory.set_tensor("input_ids", cp.array([4, 5, 6]))
+    # Remove another tensor
+    # Add a new tensor
+    new_tensor = {"new_tensor": cp.array([7, 8, 9])}
+    tensor_memory.set_tensor("new_tensor", new_tensor["new_tensor"])
+
+    retrieved_tensors = message.tensors()
+    assert retrieved_tensors.count == 3, "Tensor count mismatch after multiple operations."
+    assert cp.allclose(retrieved_tensors.get_tensor("input_ids"),
+                       cp.array([4, 5, 6])), "Mismatch in input_ids after update."
+    assert cp.allclose(retrieved_tensors.get_tensor("new_tensor"),
+                       new_tensor["new_tensor"]), "New tensor data mismatch."
diff --git a/tests/test_message_meta.py b/tests/messages/test_message_meta.py
similarity index 67%
rename from tests/test_message_meta.py
rename to tests/messages/test_message_meta.py
index 208086c5c7..2ee8dd3c40 100644
--- a/tests/test_message_meta.py
+++ b/tests/messages/test_message_meta.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,7 +25,9 @@
 from _utils.dataset_manager import DatasetManager
 # pylint: disable=morpheus-incorrect-lib-from-import
 from morpheus._lib.messages import MessageMeta as MessageMetaCpp
+from morpheus.config import Config
 from morpheus.messages.message_meta import MessageMeta
+from morpheus.utils.type_aliases import DataFrameType
 
 
 @pytest.fixture(name="index_type", scope="function", params=["normal", "skip", "dup", "down", "updown"])
@@ -83,20 +85,20 @@ def fixture_is_sliceable(index_type: typing.Literal['normal', 'skip', 'dup', 'do
     return index_type not in ("dup", "updown")
 
 
-def test_count(df: cudf.DataFrame):
+def test_count(df: DataFrameType):
 
     meta = MessageMeta(df)
 
     assert meta.count == len(df)
 
 
-def test_has_sliceable_index(df: cudf.DataFrame, is_sliceable: bool):
+def test_has_sliceable_index(df: DataFrameType, is_sliceable: bool):
 
     meta = MessageMeta(df)
     assert meta.has_sliceable_index() == is_sliceable
 
 
-def test_ensure_sliceable_index(df: cudf.DataFrame, is_sliceable: bool):
+def test_ensure_sliceable_index(df: DataFrameType, is_sliceable: bool):
 
     meta = MessageMeta(df)
 
@@ -106,7 +108,7 @@ def test_ensure_sliceable_index(df: cudf.DataFrame, is_sliceable: bool):
     assert old_index_name == (None if is_sliceable else "_index_")
 
 
-def test_mutable_dataframe(df: cudf.DataFrame):
+def test_mutable_dataframe(df: DataFrameType):
 
     meta = MessageMeta(df)
 
@@ -116,7 +118,7 @@ def test_mutable_dataframe(df: cudf.DataFrame):
     assert meta.copy_dataframe()['v2'].iloc[3] == 47
 
 
-def test_using_ctx_outside_with_block(df: cudf.DataFrame):
+def test_using_ctx_outside_with_block(df: DataFrameType):
 
     meta = MessageMeta(df)
 
@@ -132,7 +134,7 @@ def test_using_ctx_outside_with_block(df: cudf.DataFrame):
     pytest.raises(AttributeError, operator.setitem, ctx, 'col', 5)
 
 
-def test_copy_dataframe(df: cudf.DataFrame):
+def test_copy_dataframe(df: DataFrameType):
 
     meta = MessageMeta(df)
 
@@ -159,3 +161,61 @@ def test_pandas_df_cpp(dataset_pandas: DatasetManager):
     assert isinstance(meta, MessageMetaCpp)
     assert isinstance(meta.df, cudf.DataFrame)
     DatasetManager.assert_compare_df(meta.df, df)
+
+
+def test_cast(config: Config, dataset: DatasetManager):  # pylint: disable=unused-argument
+    """
+    Test tcopy constructor
+    """
+    df = dataset["filter_probs.csv"]
+    meta1 = MessageMeta(df)
+
+    meta2 = MessageMeta(meta1)
+    assert isinstance(meta2, MessageMeta)
+
+    DatasetManager.assert_compare_df(meta2.copy_dataframe(), df)
+
+
+@pytest.mark.use_pandas
+@pytest.mark.use_python
+def test_cast_python_to_cpp(dataset: DatasetManager):
+    """
+    Test that we can cast a python MessageMeta to a C++ MessageMeta
+    """
+    df = dataset["filter_probs.csv"]
+
+    py_meta = MessageMeta(df)
+    assert isinstance(py_meta, MessageMeta)
+    assert not isinstance(py_meta, MessageMetaCpp)
+
+    cpp_meta = MessageMetaCpp(py_meta)
+    assert isinstance(cpp_meta, MessageMeta)
+    assert isinstance(cpp_meta, MessageMetaCpp)
+
+    DatasetManager.assert_compare_df(cpp_meta.copy_dataframe(), df)
+
+
+@pytest.mark.use_pandas
+@pytest.mark.use_python
+def test_cast_cpp_to_python(dataset: DatasetManager):
+    """
+    Test that we can cast a a C++ MessageMeta to a python MessageMeta
+    """
+    df = dataset["filter_probs.csv"]
+    cpp_meta = MessageMetaCpp(df)
+
+    py_meta = MessageMeta(cpp_meta)
+    assert isinstance(py_meta, MessageMeta)
+    assert not isinstance(py_meta, MessageMetaCpp)
+
+    DatasetManager.assert_compare_df(py_meta.copy_dataframe(), df)
+
+
+def test_get_column_names(df: DataFrameType):
+    """
+    Test that we can get the column names from a MessageMeta
+    """
+    expected_columns = sorted(df.columns.to_list())
+    meta = MessageMeta(df)
+
+    assert sorted(meta.get_column_names()) == expected_columns
diff --git a/tests/mock_rest_server/config.yml b/tests/mock_rest_server/config.yml
index 8572a64ef2..2214ba797b 100644
--- a/tests/mock_rest_server/config.yml
+++ b/tests/mock_rest_server/config.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/mock_rest_server/mocks/RSS/single_entry/GET.mock b/tests/mock_rest_server/mocks/RSS/single_entry/GET.mock
new file mode 100644
index 0000000000..39dbe4bb24
--- /dev/null
+++ b/tests/mock_rest_server/mocks/RSS/single_entry/GET.mock
@@ -0,0 +1,20 @@
+HTTP/1.1 200 OK
+Content-Type: application/json
+
+<?xml version="1.0" encoding="UTF-8"?>
+<rss version="2.0">
+  <channel>
+    <title>Cyber Security News</title>
+    <link>http://localhost:8080/RSS/feed_link</link>
+    <description>Latest updates and articles in cybersecurity</description>
+    <language>en-us</language>
+    <lastBuildDate>Mon, 10 Jan 2024 10:00:00 GMT</lastBuildDate>
+    <item>
+      <title>New Vulnerability Discovered in Popular Web Framework</title>
+      <link>https://www.cybersecuritynews.com/new-vulnerability-web-framework</link>
+      <description>A new security vulnerability has been identified in the popular XYZ Web Framework, which could allow attackers to execute arbitrary code on affected systems. Users are advised to apply the latest patches immediately.</description>
+      <pubDate>Mon, 10 Jan 2024 09:00:00 GMT</pubDate>
+      <guid>https://www.cybersecuritynews.com/new-vulnerability-web-framework</guid>
+    </item>
+  </channel>
+</rss>
diff --git a/tests/mock_triton_server/config.yml b/tests/mock_triton_server/config.yml
index 0bec40a0f4..0d4e7ddd9f 100644
--- a/tests/mock_triton_server/config.yml
+++ b/tests/mock_triton_server/config.yml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/modules/morpheus_module_test_pipeline.py b/tests/modules/morpheus_module_test_pipeline.py
index 24fcddfc38..93d845f525 100644
--- a/tests/modules/morpheus_module_test_pipeline.py
+++ b/tests/modules/morpheus_module_test_pipeline.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/modules/multiplexer.py b/tests/modules/multiplexer.py
index f6bf97376f..a5becf1309 100644
--- a/tests/modules/multiplexer.py
+++ b/tests/modules/multiplexer.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/modules/test_file_batcher.py b/tests/modules/test_file_batcher.py
new file mode 100644
index 0000000000..fab99fdb48
--- /dev/null
+++ b/tests/modules/test_file_batcher.py
@@ -0,0 +1,300 @@
+#!/usr/bin/env python
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+
+import cudf
+
+import morpheus.modules  # noqa: F401 # pylint: disable=unused-import
+from morpheus.config import Config
+from morpheus.messages import ControlMessage
+from morpheus.messages.message_meta import MessageMeta
+from morpheus.pipeline import LinearPipeline
+from morpheus.pipeline.stage_decorator import source
+from morpheus.stages.general.linear_modules_stage import LinearModulesStage
+from morpheus.stages.output.in_memory_sink_stage import InMemorySinkStage
+from morpheus.utils.module_ids import FILE_BATCHER
+from morpheus.utils.module_ids import MORPHEUS_MODULE_NAMESPACE
+
+# pylint: disable=redundant-keyword-arg
+
+
+@source
+def source_test_stage(filenames: list[str], cm_batching_options: dict) -> ControlMessage:
+
+    df = cudf.DataFrame(filenames, columns=['files'])
+
+    control_message = ControlMessage()
+
+    control_message.set_metadata("batching_options", cm_batching_options)
+    control_message.set_metadata("data_type", "payload")
+
+    control_message.payload(MessageMeta(df=df))
+
+    yield control_message
+
+
+@pytest.fixture(name="default_module_config")
+def default_module_config_fixture():
+    yield {
+        "module_id": FILE_BATCHER,
+        "module_name": "file_batcher",
+        "namespace": MORPHEUS_MODULE_NAMESPACE,
+        "sampling_rate_s": 0,
+        "start_time": "2022-08-01T00:00:00",
+        "end_time": "2022-08-31T00:00:00",
+        "parser_kwargs": None,
+        "schema": {
+            "schema_str": None, "encoding": None
+        }
+    }
+
+
+@pytest.fixture(name="default_file_list")
+def default_file_list_fixture():
+    yield [
+        "DUO_2022-08-01T00_05_06.806Z.json",
+        "DUO_2022-08-01T03_02_04.418Z.json",
+        "DUO_2022-08-01T06_05_05.064Z.json",
+        "DUO_2022-08-02T00_05_06.806Z.json",
+        "DUO_2022-08-02T03_02_04.418Z.json",
+        "DUO_2022-08-02T06_05_05.064Z.json"
+    ]
+
+
+def test_no_overrides(config: Config, default_module_config, default_file_list):
+    pipeline = LinearPipeline(config)
+
+    cm_batching_opts = {
+        "sampling_rate_s": 0,
+        "start_time": "2022-08-01",
+        "end_time": "2022-08-31",
+        "parser_kwargs": None,
+        "schema": {
+            "schema_str": None, "encoding": None
+        }
+    }
+
+    pipeline.set_source(source_test_stage(config, filenames=default_file_list, cm_batching_options=cm_batching_opts))
+
+    pipeline.add_stage(
+        LinearModulesStage(config, default_module_config, input_port_name="input", output_port_name="output"))
+
+    sink_stage = pipeline.add_stage(InMemorySinkStage(config))
+
+    pipeline.run()
+
+    sink_messages = sink_stage.get_messages()
+    assert len(sink_messages) == 2
+    assert len(sink_messages[0].get_tasks()["load"][0]["files"]) == 3
+    assert sink_messages[0].get_tasks()["load"][0]["n_groups"] == 2
+    assert len(sink_messages[1].get_tasks()["load"][0]["files"]) == 3
+    assert sink_messages[1].get_tasks()["load"][0]["n_groups"] == 2
+
+
+def test_no_date_matches(config: Config, default_module_config, default_file_list):
+    pipeline = LinearPipeline(config)
+
+    cm_batching_opts = {
+        "sampling_rate_s": 0,
+        "start_time": "2022-09-01",
+        "end_time": "2022-09-30",
+        "parser_kwargs": None,
+        "schema": {
+            "schema_str": None, "encoding": None
+        }
+    }
+
+    pipeline.set_source(source_test_stage(config, filenames=default_file_list, cm_batching_options=cm_batching_opts))
+
+    pipeline.add_stage(
+        LinearModulesStage(config, default_module_config, input_port_name="input", output_port_name="output"))
+
+    sink_stage = pipeline.add_stage(InMemorySinkStage(config))
+
+    pipeline.run()
+
+    sink_messages = sink_stage.get_messages()
+    assert len(sink_messages) == 0
+
+
+def test_partial_date_matches(config: Config, default_module_config, default_file_list):
+    pipeline = LinearPipeline(config)
+
+    cm_batching_opts = {
+        "sampling_rate_s": 0,
+        "start_time": "2022-07-30",
+        "end_time": "2022-08-02",
+        "parser_kwargs": None,
+        "schema": {
+            "schema_str": None, "encoding": None
+        }
+    }
+
+    pipeline.set_source(source_test_stage(config, filenames=default_file_list, cm_batching_options=cm_batching_opts))
+
+    pipeline.add_stage(
+        LinearModulesStage(config, default_module_config, input_port_name="input", output_port_name="output"))
+
+    sink_stage = pipeline.add_stage(InMemorySinkStage(config))
+
+    pipeline.run()
+
+    sink_messages = sink_stage.get_messages()
+    sink_messages = sink_stage.get_messages()
+    assert len(sink_messages) == 1
+    assert len(sink_messages[0].get_tasks()["load"][0]["files"]) == 3
+    assert sink_messages[0].get_tasks()["load"][0]["n_groups"] == 1
+
+
+def test_override_date_regex(config: Config, default_module_config):
+    pipeline = LinearPipeline(config)
+
+    filenames = [
+        "DUO_2022-08-01_00_05_06.806Z.json",
+        "DUO_2022-08-01_03_02_04.418Z.json",
+        "DUO_2022-08-01_06_05_05.064Z.json",
+        "DUO_2022-08-02_00_05_06.806Z.json",
+        "DUO_2022-08-02_03_02_04.418Z.json",
+        "DUO_2022-08-02_06_05_05.064Z.json"
+    ]
+
+    cm_date_regex_pattern = (
+        r"(?P<year>\d{4})-(?P<month>\d{1,2})-(?P<day>\d{1,2})"
+        r"_(?P<hour>\d{1,2})(:|_)(?P<minute>\d{1,2})(:|_)(?P<second>\d{1,2})(?P<microsecond>\.\d{1,6})?Z")
+
+    cm_batching_opts = {
+        "sampling_rate_s": 0,
+        "start_time": "2022-08-01",
+        "end_time": "2022-08-31",
+        "iso_date_regex_pattern": cm_date_regex_pattern,
+        "parser_kwargs": None,
+        "schema": {
+            "schema_str": None, "encoding": None
+        }
+    }
+
+    pipeline.set_source(source_test_stage(config, filenames=filenames, cm_batching_options=cm_batching_opts))
+
+    pipeline.add_stage(
+        LinearModulesStage(config, default_module_config, input_port_name="input", output_port_name="output"))
+
+    sink_stage = pipeline.add_stage(InMemorySinkStage(config))
+
+    pipeline.run()
+
+    sink_messages = sink_stage.get_messages()
+    assert len(sink_messages) == 2
+    assert len(sink_messages[0].get_tasks()["load"][0]["files"]) == 3
+    assert sink_messages[0].get_tasks()["load"][0]["n_groups"] == 2
+    assert len(sink_messages[1].get_tasks()["load"][0]["files"]) == 3
+    assert sink_messages[1].get_tasks()["load"][0]["n_groups"] == 2
+
+
+def test_sampling_freq(config: Config, default_module_config):
+    pipeline = LinearPipeline(config)
+
+    filenames = [
+        "DUO_2022-08-01T00_05_06.806Z.json",
+        "DUO_2022-08-01T00_05_08.418Z.json",
+        "DUO_2022-08-01T00_05_12.064Z.json",
+        "DUO_2022-08-02T03_02_06.806Z.json",
+        "DUO_2022-08-02T03_02_14.418Z.json",
+        "DUO_2022-08-02T03_02_17.064Z.json"
+    ]
+
+    cm_batching_opts = {
+        "sampling_rate_s": None,
+        "sampling": "30S",
+        "start_time": "2022-08-01",
+        "end_time": "2022-08-31",
+        "parser_kwargs": None,
+        "schema": {
+            "schema_str": None, "encoding": None
+        }
+    }
+
+    pipeline.set_source(source_test_stage(config, filenames=filenames, cm_batching_options=cm_batching_opts))
+
+    pipeline.add_stage(
+        LinearModulesStage(config, default_module_config, input_port_name="input", output_port_name="output"))
+
+    sink_stage = pipeline.add_stage(InMemorySinkStage(config))
+
+    pipeline.run()
+
+    sink_messages = sink_stage.get_messages()
+    assert len(sink_messages) == 2
+    assert len(sink_messages[0].get_tasks()["load"][0]["files"]) == 1
+    assert sink_messages[0].get_tasks()["load"][0]["n_groups"] == 2
+    assert len(sink_messages[1].get_tasks()["load"][0]["files"]) == 1
+    assert sink_messages[1].get_tasks()["load"][0]["n_groups"] == 2
+
+
+def test_sampling_pct(config: Config, default_module_config, default_file_list):
+    pipeline = LinearPipeline(config)
+
+    cm_batching_opts = {
+        "sampling_rate_s": None,
+        "sampling": 0.5,
+        "start_time": "2022-08-01",
+        "end_time": "2022-08-31",
+        "parser_kwargs": None,
+        "schema": {
+            "schema_str": None, "encoding": None
+        }
+    }
+
+    pipeline.set_source(source_test_stage(config, filenames=default_file_list, cm_batching_options=cm_batching_opts))
+
+    pipeline.add_stage(
+        LinearModulesStage(config, default_module_config, input_port_name="input", output_port_name="output"))
+
+    sink_stage = pipeline.add_stage(InMemorySinkStage(config))
+
+    pipeline.run()
+
+    sink_messages = sink_stage.get_messages()
+    msg_counts = [len(m.get_tasks()["load"][0]["files"]) for m in sink_messages]
+    assert sum(msg_counts) == 3
+
+
+def test_sampling_fixed(config: Config, default_module_config, default_file_list):
+    pipeline = LinearPipeline(config)
+
+    cm_batching_opts = {
+        "sampling_rate_s": None,
+        "sampling": 5,
+        "start_time": "2022-08-01",
+        "end_time": "2022-08-31",
+        "parser_kwargs": None,
+        "schema": {
+            "schema_str": None, "encoding": None
+        }
+    }
+
+    pipeline.set_source(source_test_stage(config, filenames=default_file_list, cm_batching_options=cm_batching_opts))
+
+    pipeline.add_stage(
+        LinearModulesStage(config, default_module_config, input_port_name="input", output_port_name="output"))
+
+    sink_stage = pipeline.add_stage(InMemorySinkStage(config))
+
+    pipeline.run()
+
+    sink_messages = sink_stage.get_messages()
+    msg_counts = [len(m.get_tasks()["load"][0]["files"]) for m in sink_messages]
+    assert sum(msg_counts) == 5
diff --git a/tests/modules/test_from_control_message.py b/tests/modules/test_from_control_message.py
index c40e7fffd7..b129bbbcc8 100644
--- a/tests/modules/test_from_control_message.py
+++ b/tests/modules/test_from_control_message.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -68,7 +68,7 @@ def test_get_module():
     assert fn_constructor is not None
 
     config = {}
-    fn_constructor("FromControlMessageTest", config)
+    fn_constructor("FromControlMessageTest", config)  # pylint: disable=not-callable
 
 
 @pytest.mark.use_cpp
diff --git a/tests/modules/test_morpheus_modules.py b/tests/modules/test_morpheus_modules.py
index 5e575fedd3..13a5fe56cd 100644
--- a/tests/modules/test_morpheus_modules.py
+++ b/tests/modules/test_morpheus_modules.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -66,7 +66,7 @@ def test_get_module():
     assert fn_constructor is not None
 
     config = {}
-    # pylint: disable=unused-variable
+    # pylint: disable=unused-variable,not-callable
     module_instance = fn_constructor("ModuleDataLoaderTest", config)  # noqa: F841 -- we don't need to use it
 
 
diff --git a/tests/modules/test_morpheus_modules_with_pipeline.py b/tests/modules/test_morpheus_modules_with_pipeline.py
index fca28cc16d..f7247e193b 100644
--- a/tests/modules/test_morpheus_modules_with_pipeline.py
+++ b/tests/modules/test_morpheus_modules_with_pipeline.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/modules/test_payload_batcher.py b/tests/modules/test_payload_batcher.py
index 25a405923e..02acd6b8ee 100644
--- a/tests/modules/test_payload_batcher.py
+++ b/tests/modules/test_payload_batcher.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -79,7 +79,7 @@ def test_get_module():
     assert fn_constructor is not None
 
     config = {}
-    module_instance = fn_constructor("PayloadBatcherTest", config)
+    module_instance = fn_constructor("PayloadBatcherTest", config)  # pylint: disable=not-callable
     assert isinstance(module_instance, mrc.core.segment.SegmentModule)
 
 
@@ -135,8 +135,10 @@ def test_custom_params(config,
                        expected_count,
                        expected_exception):
 
+    expected_warning = False
     if timestamp_column_name:
         filter_probs_df["timestamp"] = TIMESTAMPS
+        expected_warning = timestamp_pattern is None
 
     pipe = Pipeline(config)
 
@@ -182,6 +184,10 @@ def test_custom_params(config,
     if expected_exception:
         with pytest.raises(type(expected_exception), match=str(expected_exception)):
             pipe.run()
+    elif expected_warning:
+        with pytest.warns(UserWarning):
+            pipe.run()
+            assert len(sink_stage.get_messages()) == expected_count
     else:
         pipe.run()
         assert len(sink_stage.get_messages()) == expected_count
diff --git a/tests/modules/test_to_control_message.py b/tests/modules/test_to_control_message.py
index c6cc868b6e..96f91a2fee 100644
--- a/tests/modules/test_to_control_message.py
+++ b/tests/modules/test_to_control_message.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -57,7 +57,7 @@ def test_get_module():
     assert fn_constructor is not None
 
     config = {}
-    module_instance = fn_constructor("ToControlMessageTest", config)
+    module_instance = fn_constructor("ToControlMessageTest", config)  # pylint: disable=not-callable
     assert isinstance(module_instance, mrc.core.segment.SegmentModule)
 
 
diff --git a/tests/pipeline/conftest.py b/tests/pipeline/conftest.py
index d46cc33ff6..7adc4b03a6 100644
--- a/tests/pipeline/conftest.py
+++ b/tests/pipeline/conftest.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/pipeline/test_pipe_viz.py b/tests/pipeline/test_pipe_viz.py
index 91fabb4d09..da2b245886 100755
--- a/tests/pipeline/test_pipe_viz.py
+++ b/tests/pipeline/test_pipe_viz.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -27,6 +27,7 @@
 from morpheus.cli.commands import RANKDIR_CHOICES
 from morpheus.pipeline import LinearPipeline
 from morpheus.pipeline.pipeline import Pipeline
+from morpheus.pipeline.pipeline import PipelineState
 from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
 from morpheus.stages.output.in_memory_sink_stage import InMemorySinkStage
 from morpheus.stages.postprocess.add_classifications_stage import AddClassificationsStage
@@ -76,7 +77,7 @@ def test_viz_without_run(viz_pipeline: Pipeline, tmp_path: str):
     # Verify that the output file exists and is a valid png file
     assert_path_exists(viz_file)
     assert imghdr.what(viz_file) == 'png'
-    assert viz_pipeline.is_built
+    assert viz_pipeline.state != PipelineState.INITIALIZED
 
 
 @pytest.mark.slow
diff --git a/tests/pipeline/test_pipeline.py b/tests/pipeline/test_pipeline.py
index 40ca0b9612..aedc003b25 100755
--- a/tests/pipeline/test_pipeline.py
+++ b/tests/pipeline/test_pipeline.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -26,8 +26,13 @@
 from _utils.stages.multi_message_pass_thru import MultiMessagePassThruStage
 from _utils.stages.multi_port_pass_thru import MultiPortPassThruStage
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
+from morpheus.messages import MessageMeta
+from morpheus.messages import MultiMessage
 from morpheus.pipeline import LinearPipeline
 from morpheus.pipeline import Pipeline
+from morpheus.stages.boundary.linear_boundary_stage import LinearBoundaryEgressStage
+from morpheus.stages.boundary.linear_boundary_stage import LinearBoundaryIngressStage
 from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
 from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
 from morpheus.stages.output.in_memory_sink_stage import InMemorySinkStage
@@ -42,15 +47,28 @@ class SourceTestStage(InMemorySourceStage):
     def __init__(self,
                  config,
                  dataframes: typing.List[DataFrameType],
+                 on_start_cb: typing.Callable[[], None] = None,
+                 start_async_cb: typing.Callable[[], None] = None,
                  destructor_cb: typing.Callable[[], None] = None,
                  repeat: int = 1):
         super().__init__(config, dataframes, repeat)
+        self._on_start_cb = on_start_cb
+        self._start_async_cb = start_async_cb
         self._destructor_cb = destructor_cb
 
     @property
     def name(self) -> str:
         return "test-source"
 
+    def on_start(self):
+        if self._on_start_cb is not None:
+            self._on_start_cb()
+
+    async def start_async(self):
+        await super().start_async()
+        if self._start_async_cb is not None:
+            self._start_async_cb()
+
     def __del__(self):
         if self._destructor_cb is not None:
             self._destructor_cb()
@@ -93,7 +111,10 @@ def _run_pipeline(filter_probs_df: DataFrameType,
     pipe = LinearPipeline(config)
     pipe.set_source(SourceTestStage(config, [filter_probs_df], **source_callbacks))
     pipe.add_stage(SinkTestStage(config, **sink_callbacks))
-    pipe.run()
+
+    with pytest.deprecated_call(match="The on_start method is deprecated and may be removed in the future.*"):
+        # The sink stage ensures that the on_start callback method still works, even though it is deprecated.
+        pipe.run()
 
 
 @pytest.mark.use_cudf
@@ -122,21 +143,30 @@ def test_startup_cb_called(filter_probs_df: DataFrameType):
     """
     Test to ensure that the destructors of stages are called (issue #1114).
     """
-    state_dict = {"on_start": False, "start_async": False}
+    state_dict = {
+        "source_on_start": False, "source_start_async": False, "sink_on_start": False, "sink_start_async": False
+    }
 
     def update_state_dict(key: str):
         nonlocal state_dict
         state_dict[key] = True
 
+    source_callbacks = {
+        'on_start_cb': lambda: update_state_dict("source_on_start"),
+        'start_async_cb': lambda: update_state_dict("source_start_async")
+    }
+
     sink_callbacks = {
-        'on_start_cb': lambda: update_state_dict("on_start"),
-        'start_async_cb': lambda: update_state_dict("start_async")
+        'on_start_cb': lambda: update_state_dict("sink_on_start"),
+        'start_async_cb': lambda: update_state_dict("sink_start_async")
     }
 
-    _run_pipeline(filter_probs_df, source_callbacks={}, sink_callbacks=sink_callbacks)
+    _run_pipeline(filter_probs_df, source_callbacks=source_callbacks, sink_callbacks=sink_callbacks)
 
-    assert state_dict["on_start"]
-    assert state_dict["start_async"]
+    assert state_dict["source_on_start"]
+    assert state_dict["source_start_async"]
+    assert state_dict["sink_on_start"]
+    assert state_dict["sink_start_async"]
 
 
 @pytest.mark.use_cudf
@@ -195,3 +225,58 @@ def test_add_edge_input_port_errors(config: Config, num_inputs: int):
 
     with pytest.raises(AssertionError):
         pipe.add_edge(start_stage.output_ports[0], end_stage)
+
+
+@pytest.mark.parametrize("data_type", [int, float, str, MessageMeta, ControlMessage, MultiMessage])
+def test_add_segment_edge(config: Config, data_type: type):
+    pipe = Pipeline(config)
+
+    boundary_egress = LinearBoundaryEgressStage(config, boundary_port_id="seg_1", data_type=data_type)
+    boundary_ingress = LinearBoundaryIngressStage(config, boundary_port_id="seg_1", data_type=data_type)
+
+    pipe.add_stage(boundary_egress, "seg_1")
+    pipe.add_stage(boundary_ingress, "seg_2")
+    pipe.add_segment_edge(boundary_egress, "seg_1", boundary_ingress, "seg_2", ("seg_1", object, False))
+
+
+def test_add_segment_edge_assert_not_built(config: Config):
+    pipe = Pipeline(config)
+
+    src_stage = InMemSourceXStage(config, data=list(range(3)))
+    boundary_egress = LinearBoundaryEgressStage(config, boundary_port_id="seg_1", data_type=int)
+    boundary_ingress = LinearBoundaryIngressStage(config, boundary_port_id="seg_1", data_type=int)
+
+    pipe.add_stage(src_stage, "seg_1")
+    pipe.add_stage(boundary_egress, "seg_1")
+    pipe.add_edge(src_stage, boundary_egress, "seg_1")
+    pipe.add_stage(boundary_ingress, "seg_2")
+    pipe.build()
+
+    with pytest.raises(AssertionError):
+        pipe.add_segment_edge(boundary_egress, "seg_1", boundary_ingress, "seg_2", ("seg_1", object, False))
+
+
+def test_add_segment_edge_bad_egress(config: Config):
+    pipe = Pipeline(config)
+
+    bad_egress = InMemorySinkStage(config)
+    boundary_ingress = LinearBoundaryIngressStage(config, boundary_port_id="seg_1", data_type=int)
+
+    pipe.add_stage(bad_egress, "seg_1")
+    pipe.add_stage(boundary_ingress, "seg_2")
+
+    with pytest.raises(AssertionError):
+        pipe.add_segment_edge(bad_egress, "seg_1", boundary_ingress, "seg_2", ("seg_1", object, False))
+
+
+def test_add_segment_edge_bad_ingress(config: Config):
+    pipe = Pipeline(config)
+
+    boundary_egress = LinearBoundaryEgressStage(config, boundary_port_id="seg_1", data_type=int)
+    bad_ingress = InMemSourceXStage(config, data=list(range(3)))
+
+    pipe.add_stage(boundary_egress, "seg_1")
+    pipe.add_stage(bad_ingress, "seg_2")
+
+    with pytest.raises(AssertionError):
+        pipe.add_segment_edge(boundary_egress, "seg_1", bad_ingress, "seg_2", ("seg_1", object, False))
diff --git a/tests/pipeline/test_pipeline_state.py b/tests/pipeline/test_pipeline_state.py
new file mode 100755
index 0000000000..1dbaefccea
--- /dev/null
+++ b/tests/pipeline/test_pipeline_state.py
@@ -0,0 +1,312 @@
+#!/usr/bin/env python
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from unittest import mock
+
+import pytest
+
+from morpheus.config import Config
+from morpheus.pipeline import LinearPipeline
+from morpheus.pipeline.pipeline import PipelineState
+from morpheus.pipeline.stage_decorator import source
+from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
+from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
+from morpheus.utils.type_aliases import DataFrameType
+
+
+@source
+def source_test_stage() -> int:
+    for i in range(10):
+        yield i
+
+
+# pylint: disable=too-many-function-args
+
+
+def test_build(config: Config):
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    pipeline.build()
+    assert pipeline.state == PipelineState.BUILT
+
+
+def test_build_after_build(config: Config):
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    pipeline.build()
+    assert pipeline.state == PipelineState.BUILT
+    with pytest.raises(Exception) as excinfo:
+        pipeline.build()
+    assert "can only be built once" in str(excinfo.value)
+
+
+def test_build_without_source(config: Config):
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    with pytest.raises(Exception) as excinfo:
+        pipeline.build()
+    assert "must have a source stage" in str(excinfo.value)
+
+
+def test_normal_run(config: Config):
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    pipeline.run()
+    assert pipeline.state == PipelineState.COMPLETED
+
+
+async def test_normal_build_and_start(config: Config):
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    await pipeline.build_and_start()
+    assert pipeline.state == PipelineState.STARTED
+    await pipeline.join()
+    assert pipeline.state == PipelineState.COMPLETED
+
+
+async def test_stop_after_start(config: Config):
+
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    await pipeline.build_and_start()
+    assert pipeline.state == PipelineState.STARTED
+    pipeline.stop()
+    assert pipeline.state == PipelineState.STOPPED
+    await pipeline.join()
+    assert pipeline.state == PipelineState.COMPLETED
+
+
+def test_stop_after_run(config: Config):
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    pipeline.run()
+    assert pipeline.state == PipelineState.COMPLETED
+    with pytest.raises(Exception) as excinfo:
+        pipeline.stop()
+    assert "must be running" in str(excinfo.value)
+
+
+def test_stop_without_start(config: Config):
+
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    with pytest.raises(Exception) as excinfo:
+        pipeline.stop()
+    assert "must be running" in str(excinfo.value)
+
+
+async def test_stop_after_stop(config: Config):
+
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    await pipeline.build_and_start()
+    assert pipeline.state == PipelineState.STARTED
+    pipeline.stop()
+    assert pipeline.state == PipelineState.STOPPED
+    with pytest.raises(Exception) as excinfo:
+        pipeline.stop()
+    assert "must be running" in str(excinfo.value)
+    await pipeline.join()
+
+
+async def test_join_without_start(config: Config):
+
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    with pytest.raises(Exception) as excinfo:
+        await pipeline.join()
+    assert "must be started" in str(excinfo.value)
+
+
+async def test_join_after_join(config: Config):
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(source_test_stage(config))
+    await pipeline.build_and_start()
+    assert pipeline.state == PipelineState.STARTED
+    await pipeline.join()
+    assert pipeline.state == PipelineState.COMPLETED
+    await pipeline.join()
+    assert pipeline.state == PipelineState.COMPLETED
+
+
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.join')
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.stop')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.join')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.stop')
+def test_stage_methods_called_normal_run(mock_source_stage_stop,
+                                         mock_source_stage_join,
+                                         mock_deserialize_stage_stop,
+                                         mock_deserialize_stage_join,
+                                         config: Config,
+                                         filter_probs_df: DataFrameType):
+    pipeline = LinearPipeline(config)
+    pipeline.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipeline.add_stage(DeserializeStage(config))
+    pipeline.run()
+    mock_source_stage_stop.assert_not_called()
+    mock_source_stage_join.assert_called_once()
+    mock_deserialize_stage_stop.assert_not_called()
+    mock_deserialize_stage_join.assert_called_once()
+
+
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.join')
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.stop')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.join')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.stop')
+async def test_stage_methods_called_stop_after_start(mock_source_stage_stop,
+                                                     mock_source_stage_join,
+                                                     mock_deserialize_stage_stop,
+                                                     mock_deserialize_stage_join,
+                                                     config: Config,
+                                                     filter_probs_df: DataFrameType):
+    pipeline = LinearPipeline(config)
+    pipeline.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipeline.add_stage(DeserializeStage(config))
+    await pipeline.build_and_start()
+    pipeline.stop()
+    await pipeline.join()
+    mock_source_stage_stop.assert_called_once()
+    mock_source_stage_join.assert_called_once()
+    mock_deserialize_stage_stop.assert_called_once()
+    mock_deserialize_stage_join.assert_called_once()
+
+
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.join')
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.stop')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.join')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.stop')
+def test_stage_methods_called_stop_after_run(mock_source_stage_stop,
+                                             mock_source_stage_join,
+                                             mock_deserialize_stage_stop,
+                                             mock_deserialize_stage_join,
+                                             config: Config,
+                                             filter_probs_df: DataFrameType):
+    pipeline = LinearPipeline(config)
+    pipeline.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipeline.add_stage(DeserializeStage(config))
+    pipeline.run()
+    with pytest.raises(Exception) as excinfo:
+        pipeline.stop()
+    assert "must be running" in str(excinfo.value)
+    mock_source_stage_stop.assert_not_called()
+    mock_source_stage_join.assert_called_once()
+    mock_deserialize_stage_stop.assert_not_called()
+    mock_deserialize_stage_join.assert_called_once()
+
+
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.join')
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.stop')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.join')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.stop')
+def test_stage_methods_called_stop_without_start(mock_source_stage_stop,
+                                                 mock_source_stage_join,
+                                                 mock_deserialize_stage_stop,
+                                                 mock_deserialize_stage_join,
+                                                 config: Config,
+                                                 filter_probs_df: DataFrameType):
+
+    pipeline = LinearPipeline(config)
+    assert pipeline.state == PipelineState.INITIALIZED
+    pipeline.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipeline.add_stage(DeserializeStage(config))
+    with pytest.raises(Exception) as excinfo:
+        pipeline.stop()
+    assert "must be running" in str(excinfo.value)
+    mock_source_stage_stop.assert_not_called()
+    mock_source_stage_join.assert_not_called()
+    mock_deserialize_stage_stop.assert_not_called()
+    mock_deserialize_stage_join.assert_not_called()
+
+
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.join')
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.stop')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.join')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.stop')
+async def test_stage_methods_called_stop_after_stop(mock_source_stage_stop,
+                                                    mock_source_stage_join,
+                                                    mock_deserialize_stage_stop,
+                                                    mock_deserialize_stage_join,
+                                                    config: Config,
+                                                    filter_probs_df: DataFrameType):
+    pipeline = LinearPipeline(config)
+    pipeline.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipeline.add_stage(DeserializeStage(config))
+    await pipeline.build_and_start()
+    pipeline.stop()
+    with pytest.raises(Exception) as excinfo:
+        pipeline.stop()
+    assert "must be running" in str(excinfo.value)
+    await pipeline.join()
+    mock_source_stage_stop.assert_called_once()
+    mock_source_stage_join.assert_called_once()
+    mock_deserialize_stage_stop.assert_called_once()
+    mock_deserialize_stage_join.assert_called_once()
+
+
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.join')
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.stop')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.join')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.stop')
+async def test_stage_methods_called_join_without_start(mock_source_stage_stop,
+                                                       mock_source_stage_join,
+                                                       mock_deserialize_stage_stop,
+                                                       mock_deserialize_stage_join,
+                                                       config: Config,
+                                                       filter_probs_df: DataFrameType):
+    pipeline = LinearPipeline(config)
+    pipeline.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipeline.add_stage(DeserializeStage(config))
+    with pytest.raises(Exception) as excinfo:
+        await pipeline.join()
+    assert "must be started" in str(excinfo.value)
+    mock_source_stage_stop.assert_not_called()
+    mock_source_stage_join.assert_not_called()
+    mock_deserialize_stage_stop.assert_not_called()
+    mock_deserialize_stage_join.assert_not_called()
+
+
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.join')
+@mock.patch('morpheus.stages.preprocess.deserialize_stage.DeserializeStage.stop')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.join')
+@mock.patch('morpheus.stages.input.in_memory_source_stage.InMemorySourceStage.stop')
+async def test_stage_methods_called_join_after_join(mock_source_stage_stop,
+                                                    mock_source_stage_join,
+                                                    mock_deserialize_stage_stop,
+                                                    mock_deserialize_stage_join,
+                                                    config: Config,
+                                                    filter_probs_df: DataFrameType):
+    pipeline = LinearPipeline(config)
+    pipeline.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipeline.add_stage(DeserializeStage(config))
+    await pipeline.build_and_start()
+    await pipeline.join()
+    assert pipeline.state == PipelineState.COMPLETED
+    await pipeline.join()
+    assert pipeline.state == PipelineState.COMPLETED
+    mock_source_stage_stop.assert_not_called()
+    mock_source_stage_join.assert_called_once()
+    mock_deserialize_stage_stop.assert_not_called()
+    mock_deserialize_stage_join.assert_called_once()
diff --git a/tests/pipeline/test_port_schema.py b/tests/pipeline/test_port_schema.py
index b1d42b2494..6ef73069c5 100644
--- a/tests/pipeline/test_port_schema.py
+++ b/tests/pipeline/test_port_schema.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/pipeline/test_preallocation_pipe.py b/tests/pipeline/test_preallocation_pipe.py
index 3dbfe01dff..a1bd8b7c4a 100755
--- a/tests/pipeline/test_preallocation_pipe.py
+++ b/tests/pipeline/test_preallocation_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/pipeline/test_stage_decorator.py b/tests/pipeline/test_stage_decorator.py
index 8f8b819d03..936ed5b215 100644
--- a/tests/pipeline/test_stage_decorator.py
+++ b/tests/pipeline/test_stage_decorator.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/pipeline/test_stage_schema.py b/tests/pipeline/test_stage_schema.py
index 30965d7537..2bc187f367 100644
--- a/tests/pipeline/test_stage_schema.py
+++ b/tests/pipeline/test_stage_schema.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/stages/arxiv/conftest.py b/tests/stages/arxiv/conftest.py
index 52ac0747e6..0865faada0 100644
--- a/tests/stages/arxiv/conftest.py
+++ b/tests/stages/arxiv/conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -22,10 +22,8 @@
 
 SKIP_REASON = ("Tests for the arxiv_source require a number of packages not installed in the Morpheus development "
                "environment. To install these run:\n"
-               "`mamba install -n base -c conda-forge conda-merge`\n"
-               "`conda run -n base --live-stream conda-merge docker/conda/environments/cuda${CUDA_VER}_dev.yml "
-               "  docker/conda/environments/cuda${CUDA_VER}_examples.yml"
-               "  > .tmp/merged.yml && mamba env update -n morpheus --file .tmp/merged.yml`")
+               "`conda env update --solver=libmamba -n morpheus "
+               "--file conda/environments/dev_cuda-121_arch-x86_64.yaml --prune`")
 
 
 @pytest.fixture(name="arxiv", autouse=True, scope='session')
diff --git a/tests/stages/arxiv/test_arxiv_source.py b/tests/stages/arxiv/test_arxiv_source.py
index e99f69da9e..6daa0ebd71 100644
--- a/tests/stages/arxiv/test_arxiv_source.py
+++ b/tests/stages/arxiv/test_arxiv_source.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -162,11 +162,15 @@ def test_splitting_pages(config: Config,
     num_expected_chunks = len(page_content_col)
     source_col = []
     page_col = []
+    type_col = []
     for _ in range(num_expected_chunks):
         source_col.append(pdf_file)
         page_col.append(0)
+        type_col.append("Document")
 
-    expected_df = cudf.DataFrame({"page_content": page_content_col, "source": source_col, "page": page_col})
+    expected_df = cudf.DataFrame({
+        "page_content": page_content_col, "source": source_col, "page": page_col, "type": type_col
+    })
 
     loader = langchain.document_loaders.PyPDFLoader(pdf_file)
     documents = loader.load()
@@ -189,8 +193,11 @@ def test_splitting_pages_no_chunks(config: Config,
     page_content_col = [content]
     source_col = [pdf_file]
     page_col = [0]
+    type_col = ["Document"]
 
-    expected_df = cudf.DataFrame({"page_content": page_content_col, "source": source_col, "page": page_col})
+    expected_df = cudf.DataFrame({
+        "page_content": page_content_col, "source": source_col, "page": page_col, "type": type_col
+    })
 
     loader = langchain.document_loaders.PyPDFLoader(pdf_file)
     documents = loader.load()
diff --git a/tests/stages/arxiv/test_arxiv_source_pipe.py b/tests/stages/arxiv/test_arxiv_source_pipe.py
index 5c48223ca9..bf903de717 100644
--- a/tests/stages/arxiv/test_arxiv_source_pipe.py
+++ b/tests/stages/arxiv/test_arxiv_source_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -39,8 +39,11 @@ def test_arxiv_source_pipeline(mock_arxiv_search: mock.MagicMock, config: Config
     page_content_col = [content]
     source_col = [cached_pdf]
     page_col = [0]
+    type_col = ["Document"]
 
-    expected_df = cudf.DataFrame({"page_content": page_content_col, "source": source_col, "page": page_col})
+    expected_df = cudf.DataFrame({
+        "page_content": page_content_col, "source": source_col, "page": page_col, "type": type_col
+    })
 
     # The ArxivSource sets a pe_count of 6 for the process_pages node, and we need at least that number of threads
     # in the config to run the pipeline
diff --git a/tests/test_deserialize_stage_pipe.py b/tests/stages/test_deserialize_stage_pipe.py
similarity index 65%
rename from tests/test_deserialize_stage_pipe.py
rename to tests/stages/test_deserialize_stage_pipe.py
index 5dca9c37f2..5231002a20 100755
--- a/tests/test_deserialize_stage_pipe.py
+++ b/tests/stages/test_deserialize_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -18,12 +18,16 @@
 
 from _utils import assert_results
 from _utils.dataset_manager import DatasetManager
+# pylint: disable=morpheus-incorrect-lib-from-import
+from morpheus._lib.messages import MultiMessage as MultiMessageCpp
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.messages import MessageMeta
+from morpheus.messages import MultiMessage
+from morpheus.modules.preprocess.deserialize import _process_dataframe_to_multi_message
 from morpheus.pipeline import LinearPipeline
 from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
 from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
-from morpheus.stages.postprocess.serialize_stage import SerializeStage
 from morpheus.stages.preprocess.deserialize_stage import DeserializeStage
 
 
@@ -39,25 +43,35 @@ def test_fixing_non_unique_indexes(dataset: DatasetManager):
 
     # When processing the dataframe, a warning should be generated when there are non-unique IDs
     with pytest.warns(RuntimeWarning):
-
-        DeserializeStage.process_dataframe_to_multi_message(meta, 5, ensure_sliceable_index=False)
+        _process_dataframe_to_multi_message(meta, 5, ensure_sliceable_index=False)
 
         assert not meta.has_sliceable_index()
         assert "_index_" not in meta.df.columns
 
     dataset.assert_df_equal(meta.df, df)
 
-    DeserializeStage.process_dataframe_to_multi_message(meta, 5, ensure_sliceable_index=True)
+    _process_dataframe_to_multi_message(meta, 5, ensure_sliceable_index=True)
 
     assert meta.has_sliceable_index()
     assert "_index_" in meta.df.columns
 
 
+def _assert_received_types(sink: CompareDataFrameStage, message_type: type):
+    if message_type is MultiMessage:
+        expected_types = (MultiMessage, MultiMessageCpp)
+    else:
+        expected_types = (ControlMessage, )
+
+    for msg in sink.get_messages():
+        assert isinstance(msg, expected_types)
+
+
 @pytest.mark.use_cudf
 @pytest.mark.parametrize("dup_index", [False, True])
-def test_deserialize_pipe(config: Config, dataset: DatasetManager, dup_index: bool):
+@pytest.mark.parametrize("message_type", [MultiMessage, ControlMessage])
+def test_deserialize_pipe(config: Config, dataset: DatasetManager, dup_index: bool, message_type: type):
     """
-    End to end test for DeserializeStage
+    End-to-end test for DeserializeStage
     """
 
     filter_probs_df = dataset["filter_probs.csv"]
@@ -66,19 +80,20 @@ def test_deserialize_pipe(config: Config, dataset: DatasetManager, dup_index: bo
 
     pipe = LinearPipeline(config)
     pipe.set_source(InMemorySourceStage(config, [filter_probs_df]))
-    pipe.add_stage(DeserializeStage(config))
-    pipe.add_stage(SerializeStage(config, include=[r'^v\d+$']))
-    comp_stage = pipe.add_stage(CompareDataFrameStage(config, dataset.pandas["filter_probs.csv"]))
+    pipe.add_stage(DeserializeStage(config, message_type=message_type))
+    comp_stage = pipe.add_stage(CompareDataFrameStage(config, dataset.pandas["filter_probs.csv"], exclude=["_index_"]))
     pipe.run()
 
+    _assert_received_types(comp_stage, message_type)
     assert_results(comp_stage.get_results())
 
 
 @pytest.mark.use_cudf
 @pytest.mark.parametrize("dup_index", [False, True])
-def test_deserialize_multi_segment_pipe(config: Config, dataset: DatasetManager, dup_index: bool):
+@pytest.mark.parametrize("message_type", [MultiMessage, ControlMessage])
+def test_deserialize_multi_segment_pipe(config: Config, dataset: DatasetManager, dup_index: bool, message_type: type):
     """
-    End to end test across mulitiple segments
+    End-to-end test across mulitiple segments
     """
 
     filter_probs_df = dataset["filter_probs.csv"]
@@ -88,9 +103,9 @@ def test_deserialize_multi_segment_pipe(config: Config, dataset: DatasetManager,
     pipe = LinearPipeline(config)
     pipe.set_source(InMemorySourceStage(config, [filter_probs_df]))
     pipe.add_segment_boundary(MessageMeta)
-    pipe.add_stage(DeserializeStage(config))
-    pipe.add_stage(SerializeStage(config, include=[r'^v\d+$']))
-    comp_stage = pipe.add_stage(CompareDataFrameStage(config, dataset.pandas["filter_probs.csv"]))
+    pipe.add_stage(DeserializeStage(config, message_type=message_type))
+    comp_stage = pipe.add_stage(CompareDataFrameStage(config, dataset.pandas["filter_probs.csv"], exclude=["_index_"]))
     pipe.run()
 
+    _assert_received_types(comp_stage, message_type)
     assert_results(comp_stage.get_results())
diff --git a/tests/stages/test_llm_engine_stage.py b/tests/stages/test_llm_engine_stage.py
index 457d817769..6b9158c1bd 100644
--- a/tests/stages/test_llm_engine_stage.py
+++ b/tests/stages/test_llm_engine_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/stages/test_llm_engine_stage_pipe.py b/tests/stages/test_llm_engine_stage_pipe.py
index f70cfe8f62..514d76c0b0 100644
--- a/tests/stages/test_llm_engine_stage_pipe.py
+++ b/tests/stages/test_llm_engine_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/stages/test_preprocess_fil_stage.py b/tests/stages/test_preprocess_fil_stage.py
new file mode 100644
index 0000000000..eb6dc8b620
--- /dev/null
+++ b/tests/stages/test_preprocess_fil_stage.py
@@ -0,0 +1,95 @@
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import cupy as cp
+import pytest
+
+import cudf
+
+from morpheus.config import Config
+from morpheus.config import ConfigFIL
+from morpheus.messages import ControlMessage
+from morpheus.messages import MessageMeta
+from morpheus.messages import MultiMessage
+from morpheus.stages.preprocess.preprocess_fil_stage import PreprocessFILStage
+
+
+@pytest.fixture(name='config')
+def fixture_config(config: Config):
+    config.feature_length = 1
+    config.fil = ConfigFIL()
+    config.fil.feature_columns = ["data"]
+    yield config
+
+
+def test_constructor(config: Config):
+    stage = PreprocessFILStage(config)
+    assert stage.name == "preprocess-fil"
+    assert stage._fea_length == config.feature_length
+    assert stage.features == config.fil.feature_columns
+
+    accepted_types = stage.accepted_types()
+    assert isinstance(accepted_types, tuple)
+    assert len(accepted_types) > 0
+
+
+def test_process_control_message(config: Config):
+    stage = PreprocessFILStage(config)
+    input_cm = ControlMessage()
+    df = cudf.DataFrame({"data": [1, 2, 3]})
+    meta = MessageMeta(df)
+    input_cm.payload(meta)
+
+    output_cm = stage.pre_process_batch(input_cm, stage._fea_length, stage.features)
+    assert cp.array_equal(output_cm.tensors().get_tensor("input__0"), cp.asarray(df.to_cupy()))
+    expect_seg_ids = cp.zeros((df.shape[0], 3), dtype=cp.uint32)
+    expect_seg_ids[:, 0] = cp.arange(0, df.shape[0], dtype=cp.uint32)
+    expect_seg_ids[:, 2] = stage._fea_length - 1
+    assert cp.array_equal(output_cm.tensors().get_tensor("seq_ids"), expect_seg_ids)
+
+
+def test_process_multi_message(config: Config):
+    stage = PreprocessFILStage(config)
+    df = cudf.DataFrame({"data": [1, 2, 3]})
+    meta = MessageMeta(df)
+    mess_offset = 0
+    input_multi_message = MultiMessage(meta=meta, mess_offset=mess_offset, mess_count=3)
+
+    output_infer_message = stage.pre_process_batch(input_multi_message, stage._fea_length, stage.features)
+    assert cp.array_equal(output_infer_message.input__0, cp.asarray(df.to_cupy()))
+    expect_seg_ids = cp.zeros((df.shape[0], 3), dtype=cp.uint32)
+    expect_seg_ids[:, 0] = cp.arange(0, df.shape[0], dtype=cp.uint32)
+    expect_seg_ids[:, 2] = stage._fea_length - 1
+    assert cp.array_equal(output_infer_message.seq_ids, expect_seg_ids)
+
+
+def test_process_control_message_and_multi_message(config: Config):
+    stage = PreprocessFILStage(config)
+    df = cudf.DataFrame({"data": [1, 2, 3]})
+    meta = MessageMeta(df)
+    input_control_message = ControlMessage()
+    input_control_message.payload(meta)
+
+    mess_offset = 0
+    input_multi_message = MultiMessage(meta=meta, mess_offset=mess_offset, mess_count=3)
+
+    output_control_message = stage.pre_process_batch(input_control_message, stage._fea_length, stage.features)
+
+    output_infer_message = stage.pre_process_batch(input_multi_message, stage._fea_length, stage.features)
+
+    # Check if each tensor in the control message is equal to the corresponding tensor in the inference message
+    for tensor_key in output_control_message.tensors().tensor_names:
+        assert cp.array_equal(output_control_message.tensors().get_tensor(tensor_key),
+                              getattr(output_infer_message, tensor_key))
diff --git a/tests/stages/test_preprocess_nlp_stage.py b/tests/stages/test_preprocess_nlp_stage.py
new file mode 100644
index 0000000000..9c2b5d4e39
--- /dev/null
+++ b/tests/stages/test_preprocess_nlp_stage.py
@@ -0,0 +1,163 @@
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from unittest.mock import Mock
+from unittest.mock import patch
+
+import cupy as cp
+import pytest
+
+import cudf
+
+from morpheus.config import Config
+from morpheus.messages import ControlMessage
+from morpheus.messages import MessageMeta
+from morpheus.messages import MultiMessage
+from morpheus.stages.preprocess.preprocess_nlp_stage import PreprocessNLPStage
+
+
+@pytest.fixture(name='config')
+def fixture_config(config: Config):
+    config.class_labels = [
+        "address",
+        "bank_acct",
+        "credit_card",
+        "email",
+        "govt_id",
+        "name",
+        "password",
+        "phone_num",
+        "secret_keys",
+        "user"
+    ]
+    config.edge_buffer_size = 4
+    config.feature_length = 256
+    config.mode = "NLP"
+    config.model_max_batch_size = 32
+    config.num_threads = 1
+    config.pipeline_batch_size = 64
+    yield config
+
+
+def test_constructor(config: Config):
+    stage = PreprocessNLPStage(config)
+    assert stage.name == "preprocess-nlp"
+    assert stage._column == "data"
+    assert stage._seq_length == 256
+    assert stage._vocab_hash_file.endswith("data/bert-base-cased-hash.txt")
+    assert stage._truncation is False
+    assert stage._do_lower_case is False
+    assert stage._add_special_tokens is False
+
+    accepted_types = stage.accepted_types()
+    assert isinstance(accepted_types, tuple)
+    assert len(accepted_types) > 0
+
+
+@patch("morpheus.stages.preprocess.preprocess_nlp_stage.tokenize_text_series")
+def test_process_control_message(mock_tokenize_text_series, config: Config):
+    mock_tokenized = Mock()
+    mock_tokenized.input_ids = cp.array([[1, 2], [1, 2]])
+    mock_tokenized.input_mask = cp.array([[3, 4], [3, 4]])
+    mock_tokenized.segment_ids = cp.array([[0, 0], [1, 1]])
+    mock_tokenize_text_series.return_value = mock_tokenized
+
+    stage = PreprocessNLPStage(config)
+    input_cm = ControlMessage()
+    df = cudf.DataFrame({"data": ["a", "b", "c"]})
+    meta = MessageMeta(df)
+    input_cm.payload(meta)
+
+    output_cm = stage.pre_process_batch(input_cm,
+                                        stage._vocab_hash_file,
+                                        stage._do_lower_case,
+                                        stage._seq_length,
+                                        stage._stride,
+                                        stage._truncation,
+                                        stage._add_special_tokens,
+                                        stage._column)
+    assert output_cm.get_metadata("inference_memory_params") == {"inference_type": "nlp"}
+    assert cp.array_equal(output_cm.tensors().get_tensor("input_ids"), mock_tokenized.input_ids)
+    assert cp.array_equal(output_cm.tensors().get_tensor("input_mask"), mock_tokenized.input_mask)
+    assert cp.array_equal(output_cm.tensors().get_tensor("seq_ids"), mock_tokenized.segment_ids)
+
+
+@patch("morpheus.stages.preprocess.preprocess_nlp_stage.tokenize_text_series")
+def test_process_multi_message(mock_tokenize_text_series, config: Config):
+    mock_tokenized = Mock()
+    mock_tokenized.input_ids = cp.array([[1, 2], [1, 2]])
+    mock_tokenized.input_mask = cp.array([[3, 4], [3, 4]])
+    mock_tokenized.segment_ids = cp.array([[0, 0], [1, 1]])
+    mock_tokenize_text_series.return_value = mock_tokenized
+
+    stage = PreprocessNLPStage(config)
+    df = cudf.DataFrame({"data": ["a", "b", "c"]})
+    meta = MessageMeta(df)
+    mess_offset = 0
+    input_multi_message = MultiMessage(meta=meta, mess_offset=mess_offset, mess_count=2)
+
+    output_infer_message = stage.pre_process_batch(input_multi_message,
+                                                   stage._vocab_hash_file,
+                                                   stage._do_lower_case,
+                                                   stage._seq_length,
+                                                   stage._stride,
+                                                   stage._truncation,
+                                                   stage._add_special_tokens,
+                                                   stage._column)
+    assert cp.array_equal(output_infer_message.input_ids, mock_tokenized.input_ids)
+    assert cp.array_equal(output_infer_message.input_mask, mock_tokenized.input_mask)
+    mock_tokenized.segment_ids[:, 0] = mock_tokenized.segment_ids[:, 0] + mess_offset
+    assert cp.array_equal(output_infer_message.seq_ids, mock_tokenized.segment_ids)
+
+
+@patch("morpheus.stages.preprocess.preprocess_nlp_stage.tokenize_text_series")
+def test_process_control_message_and_multi_message(mock_tokenize_text_series, config: Config):
+    mock_tokenized = Mock()
+    mock_tokenized.input_ids = cp.array([[1, 2], [1, 2]])
+    mock_tokenized.input_mask = cp.array([[3, 4], [3, 4]])
+    mock_tokenized.segment_ids = cp.array([[0, 0], [1, 1]])
+    mock_tokenize_text_series.return_value = mock_tokenized
+
+    stage = PreprocessNLPStage(config)
+    df = cudf.DataFrame({"data": ["a", "b", "c"]})
+    meta = MessageMeta(df)
+    input_control_message = ControlMessage()
+    input_control_message.payload(meta)
+
+    mess_offset = 0
+    input_multi_message = MultiMessage(meta=meta, mess_offset=mess_offset, mess_count=2)
+
+    output_control_message = stage.pre_process_batch(input_control_message,
+                                                     stage._vocab_hash_file,
+                                                     stage._do_lower_case,
+                                                     stage._seq_length,
+                                                     stage._stride,
+                                                     stage._truncation,
+                                                     stage._add_special_tokens,
+                                                     stage._column)
+
+    output_infer_message = stage.pre_process_batch(input_multi_message,
+                                                   stage._vocab_hash_file,
+                                                   stage._do_lower_case,
+                                                   stage._seq_length,
+                                                   stage._stride,
+                                                   stage._truncation,
+                                                   stage._add_special_tokens,
+                                                   stage._column)
+
+    # Check if each tensor in the control message is equal to the corresponding tensor in the inference message
+    for tensor_key in output_control_message.tensors().tensor_names:
+        assert cp.array_equal(output_control_message.tensors().get_tensor(tensor_key),
+                              getattr(output_infer_message, tensor_key))
diff --git a/tests/test_abp.py b/tests/test_abp.py
index 9ba3281132..86778bfdb6 100755
--- a/tests/test_abp.py
+++ b/tests/test_abp.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_abp_kafka.py b/tests/test_abp_kafka.py
index 3226da4e06..0e1f040612 100755
--- a/tests/test_abp_kafka.py
+++ b/tests/test_abp_kafka.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_add_classifications_stage.py b/tests/test_add_classifications_stage.py
index 208b754c07..279963ba9a 100755
--- a/tests/test_add_classifications_stage.py
+++ b/tests/test_add_classifications_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -20,7 +20,10 @@
 import cudf
 
 from _utils.dataset_manager import DatasetManager
+# pylint: disable=morpheus-incorrect-lib-from-import
+from morpheus._lib.messages import TensorMemory as CppTensorMemory
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.messages.memory.tensor_memory import TensorMemory
 from morpheus.messages.message_meta import MessageMeta
 from morpheus.messages.multi_response_message import MultiResponseMessage
@@ -59,7 +62,7 @@ def test_constructor_errors(config: Config):
 
 
 @pytest.mark.use_python
-def test_add_labels():
+def test_add_labels_with_multi_response_message_and_contgrol_message():
 
     class_labels = {0: "frogs", 1: "lizards", 2: "toads"}
 
@@ -69,37 +72,55 @@ def test_add_labels():
     probs_array = cp.array([[0.1, 0.6, 0.8], [0.3, 0.61, 0.9]])
     probs_array_bool = probs_array > threshold
 
-    message = MultiResponseMessage(meta=MessageMeta(df), memory=TensorMemory(count=2, tensors={"probs": probs_array}))
+    mrm = MultiResponseMessage(meta=MessageMeta(df), memory=TensorMemory(count=2, tensors={"probs": probs_array}))
 
-    labeled = AddClassificationsStage._add_labels(message, idx2label=class_labels, threshold=threshold)
+    labeled_mrm = AddClassificationsStage._add_labels(mrm, idx2label=class_labels, threshold=threshold)
 
-    DatasetManager.assert_df_equal(labeled.get_meta("frogs"), probs_array_bool[:, 0])
-    DatasetManager.assert_df_equal(labeled.get_meta("lizards"), probs_array_bool[:, 1])
-    DatasetManager.assert_df_equal(labeled.get_meta("toads"), probs_array_bool[:, 2])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("frogs"), probs_array_bool[:, 0])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("lizards"), probs_array_bool[:, 1])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("toads"), probs_array_bool[:, 2])
+
+    cm = ControlMessage()
+    cm.payload(MessageMeta(df))
+    cm.tensors(CppTensorMemory(count=2, tensors={"probs": probs_array}))
+
+    labeled_cm = AddClassificationsStage._add_labels(cm, idx2label=class_labels, threshold=threshold)
+
+    # Check that the labeled control message and labeled multi response message are the same
+    DatasetManager.assert_df_equal(labeled_cm.payload().get_data("frogs"), labeled_mrm.get_meta("frogs"))
+    DatasetManager.assert_df_equal(labeled_cm.payload().get_data("lizards"), labeled_mrm.get_meta("lizards"))
+    DatasetManager.assert_df_equal(labeled_cm.payload().get_data("toads"), labeled_mrm.get_meta("toads"))
 
     # Same thing but change the probs tensor name
-    message = MultiResponseMessage(meta=MessageMeta(df),
-                                   memory=TensorMemory(count=2, tensors={"other_probs": probs_array}),
-                                   probs_tensor_name="other_probs")
+    mrm = MultiResponseMessage(meta=MessageMeta(df),
+                               memory=TensorMemory(count=2, tensors={"other_probs": probs_array}),
+                               probs_tensor_name="other_probs")
 
-    labeled = AddClassificationsStage._add_labels(message, idx2label=class_labels, threshold=threshold)
+    labeled_mrm = AddClassificationsStage._add_labels(mrm, idx2label=class_labels, threshold=threshold)
 
-    DatasetManager.assert_df_equal(labeled.get_meta("frogs"), probs_array_bool[:, 0])
-    DatasetManager.assert_df_equal(labeled.get_meta("lizards"), probs_array_bool[:, 1])
-    DatasetManager.assert_df_equal(labeled.get_meta("toads"), probs_array_bool[:, 2])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("frogs"), probs_array_bool[:, 0])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("lizards"), probs_array_bool[:, 1])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("toads"), probs_array_bool[:, 2])
 
     # Fail in missing probs data
-    message = MultiResponseMessage(meta=MessageMeta(df),
-                                   memory=TensorMemory(count=2, tensors={"other_probs": probs_array}),
-                                   probs_tensor_name="other_probs")
-    message.probs_tensor_name = "probs"
+    mrm = MultiResponseMessage(meta=MessageMeta(df),
+                               memory=TensorMemory(count=2, tensors={"other_probs": probs_array}),
+                               probs_tensor_name="other_probs")
+    mrm.probs_tensor_name = "probs"
 
     with pytest.raises(KeyError):
-        AddClassificationsStage._add_labels(message, idx2label=class_labels, threshold=threshold)
+        AddClassificationsStage._add_labels(mrm, idx2label=class_labels, threshold=threshold)
 
     # Too small of a probs array
-    message = MultiResponseMessage(meta=MessageMeta(df),
-                                   memory=TensorMemory(count=2, tensors={"probs": probs_array[:, 0:-1]}))
+    mrm = MultiResponseMessage(meta=MessageMeta(df),
+                               memory=TensorMemory(count=2, tensors={"probs": probs_array[:, 0:-1]}))
+
+    with pytest.raises(RuntimeError):
+        AddClassificationsStage._add_labels(mrm, idx2label=class_labels, threshold=threshold)
+
+    cm = ControlMessage()
+    cm.payload(MessageMeta(df))
+    cm.tensors(CppTensorMemory(count=2, tensors={"probs": probs_array[:, 0:-1]}))
 
     with pytest.raises(RuntimeError):
-        AddClassificationsStage._add_labels(message, idx2label=class_labels, threshold=threshold)
+        AddClassificationsStage._add_labels(cm, idx2label=class_labels, threshold=threshold)
diff --git a/tests/test_add_classifications_stage_pipe.py b/tests/test_add_classifications_stage_pipe.py
index 79a9d2e0e3..9a05bf04ac 100755
--- a/tests/test_add_classifications_stage_pipe.py
+++ b/tests/test_add_classifications_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,6 +21,7 @@
 
 from _utils import assert_results
 from _utils.stages.conv_msg import ConvMsg
+from morpheus.messages import ControlMessage
 from morpheus.messages import MessageMeta
 from morpheus.messages import MultiMessage
 from morpheus.messages import MultiResponseMessage
@@ -47,15 +48,34 @@ def test_add_classifications_stage_pipe(config, filter_probs_df):
     config.num_threads = 1
     threshold = 0.75
 
-    pipe = LinearPipeline(config)
-    pipe.set_source(InMemorySourceStage(config, [filter_probs_df]))
-    pipe.add_stage(DeserializeStage(config))
-    pipe.add_stage(ConvMsg(config, filter_probs_df))
-    pipe.add_stage(AddClassificationsStage(config, threshold=threshold))
-    pipe.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
-    comp_stage = pipe.add_stage(
+    pipe_mm = LinearPipeline(config)
+    pipe_mm.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipe_mm.add_stage(DeserializeStage(config))
+    pipe_mm.add_stage(ConvMsg(config, filter_probs_df))
+    pipe_mm.add_stage(AddClassificationsStage(config, threshold=threshold))
+    pipe_mm.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
+    comp_stage = pipe_mm.add_stage(
         CompareDataFrameStage(config, build_expected(filter_probs_df.to_pandas(), threshold, config.class_labels)))
-    pipe.run()
+    pipe_mm.run()
+
+    assert_results(comp_stage.get_results())
+
+
+@pytest.mark.use_cudf
+def test_add_classifications_stage_pipe_with_control_message(config, filter_probs_df):
+    config.class_labels = ['frogs', 'lizards', 'toads', 'turtles']
+    config.num_threads = 1
+    threshold = 0.75
+
+    pipe_cm = LinearPipeline(config)
+    pipe_cm.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipe_cm.add_stage(DeserializeStage(config, ensure_sliceable_index=True, message_type=ControlMessage))
+    pipe_cm.add_stage(ConvMsg(config, filter_probs_df, message_type=ControlMessage))
+    pipe_cm.add_stage(AddClassificationsStage(config, threshold=threshold))
+    pipe_cm.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
+    comp_stage = pipe_cm.add_stage(
+        CompareDataFrameStage(config, build_expected(filter_probs_df.to_pandas(), threshold, config.class_labels)))
+    pipe_cm.run()
 
     assert_results(comp_stage.get_results())
 
@@ -66,19 +86,19 @@ def test_add_classifications_stage_multi_segment_pipe(config, filter_probs_df):
     config.num_threads = 1
     threshold = 0.75
 
-    pipe = LinearPipeline(config)
-    pipe.set_source(InMemorySourceStage(config, [filter_probs_df]))
-    pipe.add_segment_boundary(MessageMeta)
-    pipe.add_stage(DeserializeStage(config))
-    pipe.add_segment_boundary(MultiMessage)
-    pipe.add_stage(ConvMsg(config, filter_probs_df))
-    pipe.add_segment_boundary(MultiResponseMessage)
-    pipe.add_stage(AddClassificationsStage(config, threshold=threshold))
-    pipe.add_segment_boundary(MultiResponseMessage)
-    pipe.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
-    pipe.add_segment_boundary(MessageMeta)
-    comp_stage = pipe.add_stage(
+    pipe_mm = LinearPipeline(config)
+    pipe_mm.set_source(InMemorySourceStage(config, [filter_probs_df]))
+    pipe_mm.add_segment_boundary(MessageMeta)
+    pipe_mm.add_stage(DeserializeStage(config))
+    pipe_mm.add_segment_boundary(MultiMessage)
+    pipe_mm.add_stage(ConvMsg(config, filter_probs_df))
+    pipe_mm.add_segment_boundary(MultiResponseMessage)
+    pipe_mm.add_stage(AddClassificationsStage(config, threshold=threshold))
+    pipe_mm.add_segment_boundary(MultiResponseMessage)
+    pipe_mm.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
+    pipe_mm.add_segment_boundary(MessageMeta)
+    comp_stage = pipe_mm.add_stage(
         CompareDataFrameStage(config, build_expected(filter_probs_df.to_pandas(), threshold, config.class_labels)))
-    pipe.run()
+    pipe_mm.run()
 
     assert_results(comp_stage.get_results())
diff --git a/tests/test_add_scores_stage.py b/tests/test_add_scores_stage.py
index 657db4ce9d..ad67709959 100755
--- a/tests/test_add_scores_stage.py
+++ b/tests/test_add_scores_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -19,8 +19,10 @@
 
 import cudf
 
+import morpheus._lib.messages as _messages
 from _utils.dataset_manager import DatasetManager
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.messages.memory.tensor_memory import TensorMemory
 from morpheus.messages.message_meta import MessageMeta
 from morpheus.messages.multi_response_message import MultiResponseMessage
@@ -61,43 +63,61 @@ def test_constructor_errors(config: Config):
 
 
 @pytest.mark.use_python
-def test_add_labels():
+def test_add_labels_with_multi_response_message_and_control_message():
     class_labels = {0: "frogs", 1: "lizards", 2: "toads"}
 
     df = cudf.DataFrame([0, 1], columns=["dummy"])
     probs_array = cp.array([[0.1, 0.5, 0.8], [0.2, 0.6, 0.9]])
 
-    message = MultiResponseMessage(meta=MessageMeta(df), memory=TensorMemory(count=2, tensors={"probs": probs_array}))
+    mrm = MultiResponseMessage(meta=MessageMeta(df), memory=TensorMemory(count=2, tensors={"probs": probs_array}))
 
-    labeled = AddClassificationsStage._add_labels(message, idx2label=class_labels, threshold=None)
+    labeled_mrm = AddClassificationsStage._add_labels(mrm, idx2label=class_labels, threshold=None)
 
-    DatasetManager.assert_df_equal(labeled.get_meta("frogs"), probs_array[:, 0])
-    DatasetManager.assert_df_equal(labeled.get_meta("lizards"), probs_array[:, 1])
-    DatasetManager.assert_df_equal(labeled.get_meta("toads"), probs_array[:, 2])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("frogs"), probs_array[:, 0])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("lizards"), probs_array[:, 1])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("toads"), probs_array[:, 2])
+
+    cm = ControlMessage()
+    cm.payload(MessageMeta(df))
+    cm.tensors(_messages.TensorMemory(count=2, tensors={"probs": probs_array}))
+
+    labeled_cm = AddClassificationsStage._add_labels(cm, idx2label=class_labels, threshold=None)
+
+    # Check that the labeled control message and labeled multi response message are the same
+    DatasetManager.assert_df_equal(labeled_cm.payload().get_data("frogs"), labeled_mrm.get_meta("frogs"))
+    DatasetManager.assert_df_equal(labeled_cm.payload().get_data("lizards"), labeled_mrm.get_meta("lizards"))
+    DatasetManager.assert_df_equal(labeled_cm.payload().get_data("toads"), labeled_mrm.get_meta("toads"))
 
     # Same thing but change the probs tensor name
-    message = MultiResponseMessage(meta=MessageMeta(df),
-                                   memory=TensorMemory(count=2, tensors={"other_probs": probs_array}),
-                                   probs_tensor_name="other_probs")
+    mrm = MultiResponseMessage(meta=MessageMeta(df),
+                               memory=TensorMemory(count=2, tensors={"other_probs": probs_array}),
+                               probs_tensor_name="other_probs")
 
-    labeled = AddClassificationsStage._add_labels(message, idx2label=class_labels, threshold=None)
+    labeled_mrm = AddClassificationsStage._add_labels(mrm, idx2label=class_labels, threshold=None)
 
-    DatasetManager.assert_df_equal(labeled.get_meta("frogs"), probs_array[:, 0])
-    DatasetManager.assert_df_equal(labeled.get_meta("lizards"), probs_array[:, 1])
-    DatasetManager.assert_df_equal(labeled.get_meta("toads"), probs_array[:, 2])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("frogs"), probs_array[:, 0])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("lizards"), probs_array[:, 1])
+    DatasetManager.assert_df_equal(labeled_mrm.get_meta("toads"), probs_array[:, 2])
 
     # Fail in missing probs data
-    message = MultiResponseMessage(meta=MessageMeta(df),
-                                   memory=TensorMemory(count=2, tensors={"other_probs": probs_array}),
-                                   probs_tensor_name="other_probs")
-    message.probs_tensor_name = "probs"
+    mrm = MultiResponseMessage(meta=MessageMeta(df),
+                               memory=TensorMemory(count=2, tensors={"other_probs": probs_array}),
+                               probs_tensor_name="other_probs")
+    mrm.probs_tensor_name = "probs"
 
     with pytest.raises(KeyError):
-        AddClassificationsStage._add_labels(message, idx2label=class_labels, threshold=None)
+        AddClassificationsStage._add_labels(mrm, idx2label=class_labels, threshold=None)
 
     # Too small of a probs array
-    message = MultiResponseMessage(meta=MessageMeta(df),
-                                   memory=TensorMemory(count=2, tensors={"probs": probs_array[:, 0:-1]}))
+    mrm = MultiResponseMessage(meta=MessageMeta(df),
+                               memory=TensorMemory(count=2, tensors={"probs": probs_array[:, 0:-1]}))
+
+    with pytest.raises(RuntimeError):
+        AddClassificationsStage._add_labels(mrm, idx2label=class_labels, threshold=None)
+
+    cm = ControlMessage()
+    cm.payload(MessageMeta(df))
+    cm.tensors(_messages.TensorMemory(count=2, tensors={"probs": probs_array[:, 0:-1]}))
 
     with pytest.raises(RuntimeError):
-        AddClassificationsStage._add_labels(message, idx2label=class_labels, threshold=None)
+        AddClassificationsStage._add_labels(cm, idx2label=class_labels, threshold=None)
diff --git a/tests/test_add_scores_stage_pipe.py b/tests/test_add_scores_stage_pipe.py
index 7ba2b9fc23..cdfc915bb2 100755
--- a/tests/test_add_scores_stage_pipe.py
+++ b/tests/test_add_scores_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,6 +24,7 @@
 from _utils.dataset_manager import DatasetManager
 from _utils.stages.conv_msg import ConvMsg
 from morpheus.config import Config
+from morpheus.messages import ControlMessage
 from morpheus.messages import MessageMeta
 from morpheus.messages import MultiMessage
 from morpheus.messages import MultiResponseMessage
@@ -54,14 +55,25 @@ def test_add_scores_stage_pipe(config: Config,
     expected_df = dataset_pandas["filter_probs.csv"]
     expected_df = expected_df.rename(columns=dict(zip(expected_df.columns, config.class_labels)))
 
-    pipe = LinearPipeline(config)
-    pipe.set_source(InMemorySourceStage(config, [cudf.DataFrame(input_df)]))
-    pipe.add_stage(DeserializeStage(config))
-    pipe.add_stage(ConvMsg(config, order=order, columns=list(input_df.columns)))
-    pipe.add_stage(AddScoresStage(config))
-    pipe.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
-    comp_stage = pipe.add_stage(CompareDataFrameStage(config, expected_df))
-    pipe.run()
+    pipe_mm = LinearPipeline(config)
+    pipe_mm.set_source(InMemorySourceStage(config, [cudf.DataFrame(input_df)]))
+    pipe_mm.add_stage(DeserializeStage(config, ensure_sliceable_index=True, message_type=MultiMessage))
+    pipe_mm.add_stage(ConvMsg(config, order=order, columns=list(input_df.columns)))
+    pipe_mm.add_stage(AddScoresStage(config))
+    pipe_mm.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
+    comp_stage = pipe_mm.add_stage(CompareDataFrameStage(config, expected_df))
+    pipe_mm.run()
+
+    assert_results(comp_stage.get_results())
+
+    pipe_cm = LinearPipeline(config)
+    pipe_cm.set_source(InMemorySourceStage(config, [cudf.DataFrame(input_df)]))
+    pipe_cm.add_stage(DeserializeStage(config, ensure_sliceable_index=True, message_type=ControlMessage))
+    pipe_cm.add_stage(ConvMsg(config, message_type=ControlMessage, order=order, columns=list(input_df.columns)))
+    pipe_cm.add_stage(AddScoresStage(config))
+    pipe_cm.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
+    comp_stage = pipe_cm.add_stage(CompareDataFrameStage(config, expected_df))
+    pipe_cm.run()
 
     assert_results(comp_stage.get_results())
 
@@ -75,18 +87,18 @@ def test_add_scores_stage_multi_segment_pipe(config: Config, dataset_cudf: Datas
     filter_probs_df = dataset_cudf.pandas["filter_probs.csv"]
     expected_df = filter_probs_df.rename(columns=dict(zip(filter_probs_df.columns, config.class_labels)))
 
-    pipe = LinearPipeline(config)
-    pipe.set_source(InMemorySourceStage(config, [dataset_cudf["filter_probs.csv"]], repeat=repeat))
-    pipe.add_segment_boundary(MessageMeta)
-    pipe.add_stage(DeserializeStage(config))
-    pipe.add_segment_boundary(MultiMessage)
-    pipe.add_stage(ConvMsg(config, columns=list(filter_probs_df.columns)))
-    pipe.add_segment_boundary(MultiResponseMessage)
-    pipe.add_stage(AddScoresStage(config))
-    pipe.add_segment_boundary(MultiResponseMessage)
-    pipe.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
-    pipe.add_segment_boundary(MessageMeta)
-    comp_stage = pipe.add_stage(CompareDataFrameStage(config, expected_df))
-    pipe.run()
+    pipe_mm = LinearPipeline(config)
+    pipe_mm.set_source(InMemorySourceStage(config, [dataset_cudf["filter_probs.csv"]], repeat=repeat))
+    pipe_mm.add_segment_boundary(MessageMeta)
+    pipe_mm.add_stage(DeserializeStage(config))
+    pipe_mm.add_segment_boundary(MultiMessage)
+    pipe_mm.add_stage(ConvMsg(config, columns=list(filter_probs_df.columns)))
+    pipe_mm.add_segment_boundary(MultiResponseMessage)
+    pipe_mm.add_stage(AddScoresStage(config))
+    pipe_mm.add_segment_boundary(MultiResponseMessage)
+    pipe_mm.add_stage(SerializeStage(config, include=[f"^{c}$" for c in config.class_labels]))
+    pipe_mm.add_segment_boundary(MessageMeta)
+    comp_stage = pipe_mm.add_stage(CompareDataFrameStage(config, expected_df))
+    pipe_mm.run()
 
     assert_results(comp_stage.get_results())
diff --git a/tests/test_appshield_source_stage.py b/tests/test_appshield_source_stage.py
index bd891cca02..f69983b2ea 100755
--- a/tests/test_appshield_source_stage.py
+++ b/tests/test_appshield_source_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 3cb0efea43..db9566ad6e 100755
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,6 +16,8 @@
 
 import os
 import shutil
+import warnings
+from unittest import mock
 
 import click
 import mlflow
@@ -128,6 +130,15 @@ def mlflow_uri(tmp_path):
         mlflow.end_run()
 
 
+@pytest.fixture(scope="function", autouse=True)
+def config_warning_fixture():
+    # morpheus.cli.utils._apply_to_config method will warn about any keyword arguments that don't match a config option
+    # this isn't triggered in normal production code, but is triggered in the cli tests.
+    with warnings.catch_warnings():
+        warnings.filterwarnings("ignore", message="No config option matches for.*", category=UserWarning)
+        yield
+
+
 @pytest.mark.reload_modules(commands)
 @pytest.mark.usefixtures("chdir_tmpdir", "reload_modules")
 @pytest.mark.use_python
@@ -157,6 +168,24 @@ def test_autocomplete(self, tmp_path):
                                env={'HOME': str(tmp_path)})
         assert result.exit_code == 0, result.output
 
+    @pytest.mark.usefixtures("restore_environ")
+    @pytest.mark.parametrize('use_environ', [True, False])
+    @pytest.mark.parametrize('value', [1, 13, 33])
+    @mock.patch('morpheus.utils.seed.manual_seed')
+    def test_manual_seed(self, mock_manual_seed: mock.MagicMock, value: int, use_environ: bool):
+        flags = ['run']
+        if use_environ:
+            os.environ['MORPHEUS_MANUAL_SEED'] = str(value)
+        else:
+            flags.append(f'--manual_seed={value}')
+
+        flags.append('pipeline-other')
+
+        runner = CliRunner()
+        result = runner.invoke(commands.cli, flags)
+        assert result.exit_code == 0, result.output
+        mock_manual_seed.assert_called_once_with(value)
+
     @pytest.mark.replace_callback('pipeline_ae')
     def test_pipeline_ae(self, config, callback_values):
         """
@@ -269,8 +298,8 @@ def test_pipeline_ae_all(self, callback_values):
             'preprocess',
             'inf-pytorch',
             'add-scores'
-        ] + INF_TRITON_ARGS + ['timeseries', '--resolution=1m', '--zscore_threshold=8.0', '--hot_start'] +
-                MONITOR_ARGS + VALIDATE_ARGS + ['serialize'] + TO_FILE_ARGS + TO_KAFKA_ARGS)
+        ] + ['timeseries', '--resolution=1m', '--zscore_threshold=8.0', '--hot_start'] + MONITOR_ARGS + VALIDATE_ARGS +
+                ['serialize'] + TO_FILE_ARGS + TO_KAFKA_ARGS)
 
         runner = CliRunner()
         result = runner.invoke(commands.cli, args)
@@ -288,7 +317,6 @@ def test_pipeline_ae_all(self, callback_values):
             process_ae,
             auto_enc,
             add_scores,
-            triton_inf,
             time_series,
             monitor,
             validation,
@@ -312,11 +340,6 @@ def test_pipeline_ae_all(self, callback_values):
         assert isinstance(auto_enc, AutoEncoderInferenceStage)
         assert isinstance(add_scores, AddScoresStage)
 
-        assert isinstance(triton_inf, TritonInferenceStage)
-        assert triton_inf._kwargs['model_name'] == 'test-model'
-        assert triton_inf._kwargs['server_url'] == 'test:123'
-        assert triton_inf._kwargs['force_convert_inputs']
-
         assert isinstance(time_series, TimeSeriesStage)
         assert time_series._resolution == '1m'
         assert time_series._zscore_threshold == 8.0
@@ -383,9 +406,9 @@ def test_pipeline_fil(self, config, callback_values):
         assert isinstance(process_fil, PreprocessFILStage)
 
         assert isinstance(triton_inf, TritonInferenceStage)
-        assert triton_inf._kwargs['model_name'] == 'test-model'
-        assert triton_inf._kwargs['server_url'] == 'test:123'
-        assert triton_inf._kwargs['force_convert_inputs']
+        assert triton_inf._model_name == 'test-model'
+        assert triton_inf._server_url == 'test:123'
+        assert triton_inf._force_convert_inputs
 
         assert isinstance(monitor, MonitorStage)
         assert monitor._mc._description == 'Unittest'
@@ -506,9 +529,9 @@ def test_pipeline_fil_all(self, config, callback_values, tmp_path, mlflow_uri):
         assert mlflow_drift._tracking_uri == mlflow_uri
 
         assert isinstance(triton_inf, TritonInferenceStage)
-        assert triton_inf._kwargs['model_name'] == 'test-model'
-        assert triton_inf._kwargs['server_url'] == 'test:123'
-        assert triton_inf._kwargs['force_convert_inputs']
+        assert triton_inf._model_name == 'test-model'
+        assert triton_inf._server_url == 'test:123'
+        assert triton_inf._force_convert_inputs
 
         assert isinstance(monitor, MonitorStage)
         assert monitor._mc._description == 'Unittest'
@@ -640,9 +663,9 @@ def test_enum_parsing(self, config, callback_values, tmp_path, mlflow_uri):
         assert mlflow_drift._tracking_uri == mlflow_uri
 
         assert isinstance(triton_inf, TritonInferenceStage)
-        assert triton_inf._kwargs['model_name'] == 'test-model'
-        assert triton_inf._kwargs['server_url'] == 'test:123'
-        assert triton_inf._kwargs['force_convert_inputs']
+        assert triton_inf._model_name == 'test-model'
+        assert triton_inf._server_url == 'test:123'
+        assert triton_inf._force_convert_inputs
 
         assert isinstance(monitor, MonitorStage)
         assert monitor._mc._description == 'Unittest'
@@ -721,9 +744,9 @@ def test_pipeline_nlp(self, config, callback_values):
         assert not process_nlp._add_special_tokens
 
         assert isinstance(triton_inf, TritonInferenceStage)
-        assert triton_inf._kwargs['model_name'] == 'test-model'
-        assert triton_inf._kwargs['server_url'] == 'test:123'
-        assert triton_inf._kwargs['force_convert_inputs']
+        assert triton_inf._model_name == 'test-model'
+        assert triton_inf._server_url == 'test:123'
+        assert triton_inf._force_convert_inputs
 
         assert isinstance(monitor, MonitorStage)
         assert monitor._mc._description == 'Unittest'
@@ -854,9 +877,9 @@ def test_pipeline_nlp_all(self, config, callback_values, tmp_path, mlflow_uri):
         assert mlflow_drift._tracking_uri == mlflow_uri
 
         assert isinstance(triton_inf, TritonInferenceStage)
-        assert triton_inf._kwargs['model_name'] == 'test-model'
-        assert triton_inf._kwargs['server_url'] == 'test:123'
-        assert triton_inf._kwargs['force_convert_inputs']
+        assert triton_inf._model_name == 'test-model'
+        assert triton_inf._server_url == 'test:123'
+        assert triton_inf._force_convert_inputs
 
         assert isinstance(monitor, MonitorStage)
         assert monitor._mc._description == 'Unittest'
diff --git a/tests/test_column_info.py b/tests/test_column_info.py
index 3e0c713773..4cd71a9804 100644
--- a/tests/test_column_info.py
+++ b/tests/test_column_info.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -27,6 +27,7 @@
 import cudf
 
 from _utils import TEST_DIRS
+from morpheus.io.deserializers import read_file_to_df
 from morpheus.utils.column_info import ColumnInfo
 from morpheus.utils.column_info import CustomColumn
 from morpheus.utils.column_info import DataFrameInputSchema
@@ -38,12 +39,29 @@
 from morpheus.utils.schema_transforms import process_dataframe
 
 
-@pytest.mark.use_python
-def test_dataframe_input_schema_with_json_cols():
+@pytest.fixture(name="_azure_ad_logs_pdf", scope="module")
+def _azure_ad_logs_pdf_fixture():
+    # Explicitly reading this in to ensure that lines=False.
+    # Using pandas since the C++ impl for read_file_to_df doesn't support parser_kwargs, this also avoids a warning
+    # that cudf.read_json uses pandas.read_json under the hood.
     src_file = os.path.join(TEST_DIRS.tests_data_dir, "azure_ad_logs.json")
+    yield read_file_to_df(src_file, df_type='pandas', parser_kwargs={'lines': False})
+
+
+@pytest.fixture(name="azure_ad_logs_pdf", scope="function")
+def azure_ad_logs_pdf_fixture(_azure_ad_logs_pdf: pd.DataFrame):
+    yield _azure_ad_logs_pdf.copy(deep=True)
+
+
+@pytest.fixture(name="azure_ad_logs_cdf", scope="function")
+def azure_ad_logs_cdf_fixture(_azure_ad_logs_pdf: pd.DataFrame):
+    # cudf.from_pandas essentially does a deep copy, so we can use this to ensure that the source pandas df is not
+    # modified
+    yield cudf.from_pandas(_azure_ad_logs_pdf)
 
-    input_df = cudf.read_json(src_file)
 
+@pytest.mark.use_python
+def test_dataframe_input_schema_with_json_cols(azure_ad_logs_cdf: cudf.DataFrame):
     raw_data_columns = [
         'time',
         'resourceId',
@@ -63,8 +81,8 @@ def test_dataframe_input_schema_with_json_cols():
         'properties'
     ]
 
-    assert len(input_df.columns) == 16
-    assert list(input_df.columns) == raw_data_columns
+    assert len(azure_ad_logs_cdf.columns) == 16
+    assert list(azure_ad_logs_cdf.columns) == raw_data_columns
 
     column_info = [
         DateTimeColumn(name="timestamp", dtype='datetime64[ns]', input_name="time"),
@@ -89,10 +107,10 @@ def test_dataframe_input_schema_with_json_cols():
 
     schema = DataFrameInputSchema(json_columns=["properties"], column_info=column_info)
 
-    df_processed_schema = process_dataframe(input_df, schema)
+    df_processed_schema = process_dataframe(azure_ad_logs_cdf, schema)
     processed_df_cols = df_processed_schema.columns
 
-    assert len(input_df) == len(df_processed_schema)
+    assert len(azure_ad_logs_cdf) == len(df_processed_schema)
     assert len(processed_df_cols) == len(column_info)
     assert "timestamp" in processed_df_cols
     assert "userId" in processed_df_cols
@@ -100,17 +118,13 @@ def test_dataframe_input_schema_with_json_cols():
     assert "properties.userPrincipalName" not in processed_df_cols
 
     nvt_workflow = create_and_attach_nvt_workflow(schema)
-    df_processed_workflow = process_dataframe(input_df, nvt_workflow)
+    df_processed_workflow = process_dataframe(azure_ad_logs_cdf, nvt_workflow)
     assert df_processed_schema.equals(df_processed_workflow)
 
 
 @pytest.mark.use_python
-def test_dataframe_input_schema_without_json_cols():
-    src_file = os.path.join(TEST_DIRS.tests_data_dir, "azure_ad_logs.json")
-
-    input_df = pd.read_json(src_file)
-
-    assert len(input_df.columns) == 16
+def test_dataframe_input_schema_without_json_cols(azure_ad_logs_pdf: pd.DataFrame):
+    assert len(azure_ad_logs_pdf.columns) == 16
 
     column_info = [
         DateTimeColumn(name="timestamp", dtype='datetime64[ns]', input_name="time"),
@@ -119,10 +133,10 @@ def test_dataframe_input_schema_without_json_cols():
 
     schema = DataFrameInputSchema(column_info=column_info)
 
-    df_processed = process_dataframe(input_df, schema)
+    df_processed = process_dataframe(azure_ad_logs_pdf, schema)
     processed_df_cols = df_processed.columns
 
-    assert len(input_df) == len(df_processed)
+    assert len(azure_ad_logs_pdf) == len(df_processed)
     assert len(processed_df_cols) == len(column_info)
     assert "timestamp" in processed_df_cols
     assert "time" not in processed_df_cols
@@ -152,7 +166,7 @@ def test_dataframe_input_schema_without_json_cols():
 
     # When trying to concat columns that don't exist in the dataframe, an exception is raised.
     with pytest.raises(Exception):
-        process_dataframe(input_df, schema2)
+        process_dataframe(azure_ad_logs_pdf, schema2)
 
 
 @pytest.mark.use_python
diff --git a/tests/test_concat_df.py b/tests/test_concat_df.py
index 23609e96a4..2c8efa560f 100644
--- a/tests/test_concat_df.py
+++ b/tests/test_concat_df.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_config.py b/tests/test_config.py
index f9f0ccbdfc..a1517ad355 100755
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_conftest.py b/tests/test_conftest.py
index b9e68b4a04..cc37b918d3 100644
--- a/tests/test_conftest.py
+++ b/tests/test_conftest.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_databricks_deltalake_source_stage.py b/tests/test_databricks_deltalake_source_stage.py
index 2c48521001..e7d777b0a1 100644
--- a/tests/test_databricks_deltalake_source_stage.py
+++ b/tests/test_databricks_deltalake_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_dfp.py b/tests/test_dfp.py
index c602a76fbc..d32ad3c1e8 100755
--- a/tests/test_dfp.py
+++ b/tests/test_dfp.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_dfp_kafka.py b/tests/test_dfp_kafka.py
index ce25660a0f..5b28ae6f7c 100755
--- a/tests/test_dfp_kafka.py
+++ b/tests/test_dfp_kafka.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_directory_watcher.py b/tests/test_directory_watcher.py
index a790969e2a..d7943bfb29 100644
--- a/tests/test_directory_watcher.py
+++ b/tests/test_directory_watcher.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_downloader.py b/tests/test_downloader.py
index f5c67a7afd..4534b88cbb 100644
--- a/tests/test_downloader.py
+++ b/tests/test_downloader.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_error_pipe.py b/tests/test_error_pipe.py
index fd9a541758..7f1e044286 100755
--- a/tests/test_error_pipe.py
+++ b/tests/test_error_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_file_in_out.py b/tests/test_file_in_out.py
index 50ce85a298..bd0d06d6c2 100755
--- a/tests/test_file_in_out.py
+++ b/tests/test_file_in_out.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,6 +16,8 @@
 
 import filecmp
 import os
+import pathlib
+import typing
 
 import numpy as np
 import pytest
@@ -24,6 +26,7 @@
 from _utils import assert_path_exists
 from _utils.dataset_manager import DatasetManager
 from morpheus.common import FileTypes
+from morpheus.config import Config
 from morpheus.config import CppConfig
 from morpheus.io.deserializers import read_file_to_df
 from morpheus.io.serializers import write_df_to_file
@@ -39,11 +42,22 @@
 
 @pytest.mark.slow
 @pytest.mark.parametrize("input_type", ["csv", "jsonlines", "parquet"])
+@pytest.mark.parametrize("use_pathlib", [False, True])
 @pytest.mark.parametrize("output_type", ["csv", "json", "jsonlines"])
 @pytest.mark.parametrize("flush", [False, True], ids=["no_flush", "flush"])
 @pytest.mark.parametrize("repeat", [1, 2, 5], ids=["repeat1", "repeat2", "repeat5"])
-def test_file_rw_pipe(tmp_path, config, input_type, output_type, flush, repeat: int):
+def test_file_rw_pipe(tmp_path: pathlib.Path,
+                      config: Config,
+                      input_type: str,
+                      use_pathlib: bool,
+                      output_type: str,
+                      flush: bool,
+                      repeat: int):
     input_file = os.path.join(TEST_DIRS.tests_data_dir, f'filter_probs.{input_type}')
+
+    if use_pathlib:
+        input_file = pathlib.Path(input_file)
+
     validation_file = os.path.join(TEST_DIRS.tests_data_dir, "filter_probs.csv")
     out_file = os.path.join(tmp_path, f'results.{output_type}')
 
@@ -77,7 +91,7 @@ def test_file_rw_pipe(tmp_path, config, input_type, output_type, flush, repeat:
     assert output_data.tolist() == validation_data.tolist()
 
 
-def test_file_read_json(config):
+def test_file_read_json(config: Config):
     src_file = os.path.join(TEST_DIRS.tests_data_dir, "simple.json")
 
     pipe = LinearPipeline(config)
@@ -98,7 +112,7 @@ def test_file_read_json(config):
 @pytest.mark.slow
 @pytest.mark.use_python
 @pytest.mark.usefixtures("chdir_tmpdir")
-def test_to_file_no_path(tmp_path, config):
+def test_to_file_no_path(tmp_path: pathlib.Path, config: Config):
     """
     Test to ensure issue #48 is fixed
     """
@@ -119,7 +133,7 @@ def test_to_file_no_path(tmp_path, config):
 @pytest.mark.slow
 @pytest.mark.parametrize("input_type", ["csv", "jsonlines", "parquet"])
 @pytest.mark.parametrize("output_type", ["csv", "json", "jsonlines"])
-def test_file_rw_multi_segment_pipe(tmp_path, config, input_type, output_type):
+def test_file_rw_multi_segment_pipe(tmp_path: pathlib.Path, config: Config, input_type: str, output_type: str):
     input_file = os.path.join(TEST_DIRS.tests_data_dir, f'filter_probs.{input_type}')
     validation_file = os.path.join(TEST_DIRS.tests_data_dir, "filter_probs.csv")
     out_file = os.path.join(tmp_path, f'results.{output_type}')
@@ -156,7 +170,7 @@ def test_file_rw_multi_segment_pipe(tmp_path, config, input_type, output_type):
                              os.path.join(TEST_DIRS.tests_data_dir, "filter_probs.csv"),
                              os.path.join(TEST_DIRS.tests_data_dir, "filter_probs_w_id_col.csv")
                          ])
-def test_file_rw_index_pipe(tmp_path, config, input_file):
+def test_file_rw_index_pipe(tmp_path: pathlib.Path, config: Config, input_file: str):
     out_file = os.path.join(tmp_path, 'results.csv')
 
     pipe = LinearPipeline(config)
@@ -183,7 +197,7 @@ def test_file_rw_index_pipe(tmp_path, config, input_file):
                          }), (os.path.join(TEST_DIRS.tests_data_dir, "filter_probs.jsonlines"), {})],
                          ids=["CSV", "CSV_ID", "JSON"])
 @pytest.mark.usefixtures("use_cpp")
-def test_file_roundtrip(tmp_path, input_file, extra_kwargs):
+def test_file_roundtrip(tmp_path: pathlib.Path, input_file: str, extra_kwargs: dict[str, typing.Any]):
 
     # Output file should be same type as input
     out_file = os.path.join(tmp_path, f'results{os.path.splitext(input_file)[1]}')
@@ -222,7 +236,7 @@ def test_read_cpp_compare(input_file: str):
 
 @pytest.mark.slow
 @pytest.mark.parametrize("output_type", ["csv", "json", "jsonlines"])
-def test_file_rw_serialize_deserialize_pipe(tmp_path, config, output_type):
+def test_file_rw_serialize_deserialize_pipe(tmp_path: pathlib.Path, config: Config, output_type: str):
     input_file = os.path.join(TEST_DIRS.tests_data_dir, "filter_probs.csv")
     out_file = os.path.join(tmp_path, f'results.{output_type}')
 
@@ -252,7 +266,7 @@ def test_file_rw_serialize_deserialize_pipe(tmp_path, config, output_type):
 
 @pytest.mark.slow
 @pytest.mark.parametrize("output_type", ["csv", "json", "jsonlines"])
-def test_file_rw_serialize_deserialize_multi_segment_pipe(tmp_path, config, output_type):
+def test_file_rw_serialize_deserialize_multi_segment_pipe(tmp_path: pathlib.Path, config: Config, output_type: str):
     input_file = os.path.join(TEST_DIRS.tests_data_dir, "filter_probs.csv")
     out_file = os.path.join(tmp_path, f'results.{output_type}')
 
diff --git a/tests/test_filter_detections_stage.py b/tests/test_filter_detections_stage.py
index e147d17d34..ba8ed0591f 100755
--- a/tests/test_filter_detections_stage.py
+++ b/tests/test_filter_detections_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_filter_detections_stage_column_pipe.py b/tests/test_filter_detections_stage_column_pipe.py
index 107fe2c988..6783a094f6 100755
--- a/tests/test_filter_detections_stage_column_pipe.py
+++ b/tests/test_filter_detections_stage_column_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_filter_detections_stage_pipe.py b/tests/test_filter_detections_stage_pipe.py
index 7ffad88bf6..e90ea13b3f 100755
--- a/tests/test_filter_detections_stage_pipe.py
+++ b/tests/test_filter_detections_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_http_client_sink_stage_pipe.py b/tests/test_http_client_sink_stage_pipe.py
index e000fb2fb4..cfb48581ec 100644
--- a/tests/test_http_client_sink_stage_pipe.py
+++ b/tests/test_http_client_sink_stage_pipe.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_http_client_source_stage_pipe.py b/tests/test_http_client_source_stage_pipe.py
index 5f4d21fd35..08e8d22d4b 100644
--- a/tests/test_http_client_source_stage_pipe.py
+++ b/tests/test_http_client_source_stage_pipe.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_http_server_sink_stage.py b/tests/test_http_server_sink_stage.py
index 2c8f7116da..9702ec1dd5 100644
--- a/tests/test_http_server_sink_stage.py
+++ b/tests/test_http_server_sink_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_http_server_source_stage.py b/tests/test_http_server_source_stage.py
index d61e0f2db1..62b8e3f0bc 100644
--- a/tests/test_http_server_source_stage.py
+++ b/tests/test_http_server_source_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_http_server_source_stage_pipe.py b/tests/test_http_server_source_stage_pipe.py
index 1de674b487..d00297a7dd 100644
--- a/tests/test_http_server_source_stage_pipe.py
+++ b/tests/test_http_server_source_stage_pipe.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -26,6 +26,7 @@
 from morpheus.config import Config
 from morpheus.io.serializers import df_to_stream_json
 from morpheus.pipeline import LinearPipeline
+from morpheus.pipeline.pipeline import PipelineState
 from morpheus.stages.input.http_server_source_stage import HttpServerSourceStage
 from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
 from morpheus.utils.http_utils import HTTPMethod
@@ -41,11 +42,11 @@ async def make_request(pipe: LinearPipeline,
                        payload: typing.Any,
                        content_type: str):
     attempt = 0
-    while not pipe._is_started and attempt < 2:
+    while pipe.state != PipelineState.STARTED and attempt < 2:
         await asyncio.sleep(1)
         attempt += 1
 
-    if not pipe._is_started:
+    if pipe.state != PipelineState.STARTED:
         raise RuntimeError("HttpServerSourceStage did not start")
 
     # Not strictly needed, but we don't have a good way of knowing when the server is ready to accept requests
diff --git a/tests/test_inference_stage.py b/tests/test_inference_stage.py
index d48c012508..ee1989f2f9 100755
--- a/tests/test_inference_stage.py
+++ b/tests/test_inference_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_inference_worker.py b/tests/test_inference_worker.py
index bceebfaa44..d3877c1336 100755
--- a/tests/test_inference_worker.py
+++ b/tests/test_inference_worker.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_ip.py b/tests/test_ip.py
index 810d14d26a..a8875939b1 100644
--- a/tests/test_ip.py
+++ b/tests/test_ip.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_kafka_source_stage_pipe.py b/tests/test_kafka_source_stage_pipe.py
index e70d970681..cb5adda659 100644
--- a/tests/test_kafka_source_stage_pipe.py
+++ b/tests/test_kafka_source_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_linear_modules_stage.py b/tests/test_linear_modules_stage.py
index b89fcdf9f1..8209b96b6e 100755
--- a/tests/test_linear_modules_stage.py
+++ b/tests/test_linear_modules_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_logger.py b/tests/test_logger.py
new file mode 100644
index 0000000000..dddf05d345
--- /dev/null
+++ b/tests/test_logger.py
@@ -0,0 +1,159 @@
+# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import multiprocessing
+import os
+from unittest.mock import patch
+
+import pytest
+
+from _utils import TEST_DIRS
+from morpheus.utils.logger import TqdmLoggingHandler
+from morpheus.utils.logger import configure_logging
+from morpheus.utils.logger import deprecated_message_warning
+from morpheus.utils.logger import deprecated_stage_warning
+from morpheus.utils.logger import set_log_level
+
+
+@patch('logging.handlers.QueueListener')
+@patch('logging.handlers.QueueHandler.emit')
+def test_configure_logging_from_level_default_handlers(queue_handler, queue_listener):
+    configure_logging(log_level=logging.DEBUG)
+    morpheus_logger = logging.getLogger("morpheus")
+    assert morpheus_logger.level == logging.DEBUG
+    assert morpheus_logger.propagate is False
+    pos_args = queue_listener.call_args[0]
+    assert len(pos_args) == 3
+    assert isinstance(pos_args[0], multiprocessing.queues.Queue)
+    assert isinstance(pos_args[1], TqdmLoggingHandler)
+    assert isinstance(pos_args[2], logging.handlers.RotatingFileHandler)
+    assert pos_args[2].baseFilename.endswith("morpheus.log")
+    morpheus_logger.debug("test")
+    queue_handler.assert_called()
+
+
+def test_configure_logging__no_args():
+    with pytest.raises(Exception) as excinfo:
+        configure_logging()
+    assert "log_level must be specified" in str(excinfo.value)
+
+
+@patch('logging.handlers.RotatingFileHandler.emit')
+@patch('morpheus.utils.logger.TqdmLoggingHandler.emit')
+def test_configure_logging_from_file(console_handler, file_handler):
+    log_config_file = os.path.join(TEST_DIRS.tests_data_dir, "logging.json")
+    configure_logging(log_config_file=log_config_file)
+    morpheus_logger = logging.getLogger("morpheus")
+    assert morpheus_logger.level == logging.DEBUG
+    assert morpheus_logger.propagate is False
+    morpheus_logger.debug("test")
+    console_handler.assert_called_once()
+    file_handler.assert_called_once()
+
+
+def test_configure_logging_from_file_filenotfound():
+    with pytest.raises(FileNotFoundError):
+        configure_logging(log_config_file="does_not_exist.json")
+
+
+@patch('logging.handlers.QueueListener')
+@patch('logging.handlers.QueueHandler.emit')
+def test_configure_logging_add_one_handler(queue_handler, queue_listener):
+    new_handler = logging.StreamHandler()
+    configure_logging(new_handler, log_level=logging.DEBUG)
+    morpheus_logger = logging.getLogger("morpheus")
+    assert morpheus_logger.level == logging.DEBUG
+    assert morpheus_logger.propagate is False
+    pos_args = queue_listener.call_args[0]
+    assert len(pos_args) == 4
+    assert isinstance(pos_args[0], multiprocessing.queues.Queue)
+    assert isinstance(pos_args[1], TqdmLoggingHandler)
+    assert isinstance(pos_args[2], logging.handlers.RotatingFileHandler)
+    assert isinstance(pos_args[3], logging.StreamHandler)
+    morpheus_logger.debug("test")
+    queue_handler.assert_called()
+
+
+@patch('logging.handlers.QueueListener')
+@patch('logging.handlers.QueueHandler.emit')
+def test_configure_logging_add_two_handlers(queue_handler, queue_listener):
+    new_handler_1 = logging.StreamHandler()
+    new_handler_2 = logging.StreamHandler()
+    configure_logging(new_handler_1, new_handler_2, log_level=logging.DEBUG)
+    morpheus_logger = logging.getLogger("morpheus")
+    assert morpheus_logger.level == logging.DEBUG
+    assert morpheus_logger.propagate is False
+    pos_args = queue_listener.call_args[0]
+    assert len(pos_args) == 5
+    assert isinstance(pos_args[0], multiprocessing.queues.Queue)
+    assert isinstance(pos_args[1], TqdmLoggingHandler)
+    assert isinstance(pos_args[2], logging.handlers.RotatingFileHandler)
+    assert isinstance(pos_args[3], logging.StreamHandler)
+    assert isinstance(pos_args[4], logging.StreamHandler)
+    morpheus_logger.debug("test")
+    queue_handler.assert_called()
+
+
+def test_set_log_level():
+    configure_logging(log_level=logging.INFO)
+    morpheus_logger = logging.getLogger("morpheus")
+    assert morpheus_logger.level == logging.INFO
+    set_log_level(logging.DEBUG)
+    assert morpheus_logger.level == logging.DEBUG
+
+
+def test_deprecated_stage_warning(caplog):
+
+    class DummyStage():
+        pass
+
+    logger = logging.getLogger()
+    caplog.set_level(logging.WARNING)
+    deprecated_stage_warning(logger, DummyStage, "dummy_stage")
+    assert len(caplog.records) == 1
+    assert caplog.records[0].levelname == "WARNING"
+    assert "The 'DummyStage' stage ('dummy_stage') has been deprecated" in caplog.text
+
+
+def test_deprecated_stage_warning_with_reason(caplog):
+
+    class DummyStage():
+        pass
+
+    logger = logging.getLogger()
+    caplog.set_level(logging.WARNING)
+    deprecated_stage_warning(logger, DummyStage, "dummy_stage", reason="This is the reason.")
+    assert len(caplog.records) == 1
+    assert caplog.records[0].levelname == "WARNING"
+    assert "The 'DummyStage' stage ('dummy_stage') has been deprecated and will be removed in a future version. " \
+           "This is the reason." in caplog.text
+
+
+def test_deprecated_message_warning(caplog):
+
+    class OldMessage():
+        pass
+
+    class NewMessage():
+        pass
+
+    logger = logging.getLogger()
+    caplog.set_level(logging.WARNING)
+    deprecated_message_warning(logger, OldMessage, NewMessage)
+    assert len(caplog.records) == 1
+    assert caplog.records[0].levelname == "WARNING"
+    assert "The 'OldMessage' message has been deprecated and will be removed in a future version. " \
+           "Please use 'NewMessage' instead." in caplog.text
diff --git a/tests/test_messages.py b/tests/test_messages.py
index 913bbafcb0..6c37535293 100644
--- a/tests/test_messages.py
+++ b/tests/test_messages.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -87,7 +87,7 @@ def check_all_messages(should_be_cpp: bool, no_cpp_class: bool):
                   should_be_cpp,
                   no_cpp_class,
                   **{
-                      "count": 1, "input": cp_array, "seq_ids": cp_array
+                      "count": 1, "inputs": cp_array, "seq_ids": cp_array
                   })
 
     multi_tensor_message_tensors = {
@@ -167,13 +167,13 @@ def check_all_messages(should_be_cpp: bool, no_cpp_class: bool):
     )
 
 
-def test_constructor_cpp(config):
+def test_constructor_cpp():
     check_all_messages(morpheus.config.CppConfig.get_should_use_cpp(), False)
 
 
 @pytest.mark.reload_modules(morpheus.config)
 @pytest.mark.usefixtures("reload_modules", "restore_environ")
-def test_constructor_env(config):
+def test_constructor_env():
     # Set the NO_CPP flag which should disable C++ regardless
     os.environ['MORPHEUS_NO_CPP'] = '1'
 
diff --git a/tests/test_milvus_vector_db_service.py b/tests/test_milvus_vector_db_service.py
index a8c57fec87..723e7e7f8e 100644
--- a/tests/test_milvus_vector_db_service.py
+++ b/tests/test_milvus_vector_db_service.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_milvus_write_to_vector_db_stage_pipe.py b/tests/test_milvus_write_to_vector_db_stage_pipe.py
index c80f935353..d5e8efee99 100755
--- a/tests/test_milvus_write_to_vector_db_stage_pipe.py
+++ b/tests/test_milvus_write_to_vector_db_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -38,7 +38,6 @@
 
 
 def get_test_df(num_input_rows):
-
     df = cudf.DataFrame({
         "id": list(range(num_input_rows)),
         "age": [random.randint(20, 40) for i in range(num_input_rows)],
@@ -62,7 +61,6 @@ def test_write_to_vector_db_stage_from_cm_pipe(milvus_server_uri: str,
                                                expected_num_output_rows: int,
                                                resource_kwargs: dict,
                                                recreate: bool):
-
     collection_name = "test_stage_cm_insert_collection"
 
     df = get_test_df(num_input_rows)
@@ -123,8 +121,15 @@ def test_write_to_vector_db_stage_from_cm_pipe(milvus_server_uri: str,
     # Insert entities response as a dictionary.
     response = messages[0].get_metadata("insert_response")
 
-    assert response["insert_count"] == expected_num_output_rows
-    assert response["succ_count"] == expected_num_output_rows
+    status = response["status"]
+    assert status in ["inserted", "accumulated"]
+
+    if (status == "inserted"):
+        assert response["insert_count"] == expected_num_output_rows
+        assert response["succ_count"] == expected_num_output_rows
+    else:
+        assert response["accum_count"] == expected_num_output_rows
+
     assert response["err_count"] == 0
 
 
@@ -135,7 +140,6 @@ def test_write_to_vector_db_stage_from_mm_pipe(milvus_server_uri: str,
                                                idx_part_collection_config: dict,
                                                config: Config,
                                                is_multiresponse_message: bool):
-
     collection_name = "test_stage_mm_insert_collection"
 
     df = get_test_df(num_input_rows=10)
@@ -173,4 +177,5 @@ def test_write_to_vector_db_stage_from_mm_pipe(milvus_server_uri: str,
         assert isinstance(messages[0], MultiResponseMessage)
     else:
         assert isinstance(messages[0], MultiMessage)
+
     assert len(messages[0].get_meta()) == 10
diff --git a/tests/test_module_utils.py b/tests/test_module_utils.py
index 92957dac83..adcdc3e660 100644
--- a/tests/test_module_utils.py
+++ b/tests/test_module_utils.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,6 +25,8 @@
 from morpheus.utils.module_utils import register_module
 from morpheus.utils.module_utils import verify_module_registration
 
+# pylint: disable=unused-argument,too-many-function-args
+
 
 @pytest.mark.use_python
 def test_mrc_version():
@@ -50,7 +52,7 @@ def module_init(builder: mrc.Builder):
         def module_init2(builder: mrc.Builder):
             pass
 
-        module_init2()
+        module_init2(None)
 
 
 def test_verify_module_registration():
diff --git a/tests/test_monitor_stage.py b/tests/test_monitor_stage.py
index 0db399f749..e023f159b3 100755
--- a/tests/test_monitor_stage.py
+++ b/tests/test_monitor_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,6 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import asyncio
 import inspect
 import logging
 import os
@@ -59,31 +60,31 @@ def two_x(x):
 
 
 @mock.patch('morpheus.controllers.monitor_controller.MorpheusTqdm')
-def test_on_start(mock_morph_tqdm: mock.MagicMock, config: Config):
+def test_start_async(mock_morph_tqdm: mock.MagicMock, config: Config):
     mock_morph_tqdm.return_value = mock_morph_tqdm
 
     stage = MonitorStage(config, log_level=logging.WARNING)
     assert stage._mc._progress is None
 
-    stage.on_start()
+    asyncio.run(stage.start_async())
     mock_morph_tqdm.assert_called_once()
     mock_morph_tqdm.reset.assert_called_once()
     assert stage._mc._progress is mock_morph_tqdm
 
 
 @mock.patch('morpheus.controllers.monitor_controller.MorpheusTqdm')
-def test_stop(mock_morph_tqdm: mock.MagicMock, config: Config):
+async def test_join(mock_morph_tqdm: mock.MagicMock, config: Config):
     mock_morph_tqdm.return_value = mock_morph_tqdm
 
     stage = MonitorStage(config, log_level=logging.WARNING)
     assert stage._mc._progress is None
 
-    # Calling on_stop is a noop if we are stopped
-    stage.stop()
+    # Calling join is a noop if we are stopped
+    await stage.join()
     mock_morph_tqdm.assert_not_called()
 
-    stage.on_start()
-    stage.stop()
+    await stage.start_async()
+    await stage.join()
     mock_morph_tqdm.close.assert_called_once()
 
 
@@ -94,7 +95,7 @@ def test_refresh(mock_morph_tqdm: mock.MagicMock, config: Config):
     stage = MonitorStage(config, log_level=logging.WARNING)
     assert stage._mc._progress is None
 
-    stage.on_start()
+    asyncio.run(stage.start_async())
     stage._mc.refresh_progress(None)
     mock_morph_tqdm.refresh.assert_called_once()
 
@@ -138,7 +139,7 @@ def test_progress_sink(mock_morph_tqdm: mock.MagicMock, config: Config):
     mock_morph_tqdm.return_value = mock_morph_tqdm
 
     stage = MonitorStage(config, log_level=logging.WARNING)
-    stage.on_start()
+    asyncio.run(stage.start_async())
 
     stage._mc.progress_sink(None)
     assert stage._mc._determine_count_fn is None
diff --git a/tests/test_multi_message.py b/tests/test_multi_message.py
index 68c26ad983..4c6fd5e70d 100644
--- a/tests/test_multi_message.py
+++ b/tests/test_multi_message.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_multi_port_modules_stage.py b/tests/test_multi_port_modules_stage.py
index dd2006a81e..ce8388ae1c 100755
--- a/tests/test_multi_port_modules_stage.py
+++ b/tests/test_multi_port_modules_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_multi_port_pipeline.py b/tests/test_multi_port_pipeline.py
index 73c051200c..7b3d8bf8e4 100755
--- a/tests/test_multi_port_pipeline.py
+++ b/tests/test_multi_port_pipeline.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_multi_segment.py b/tests/test_multi_segment.py
index bca7417b4c..1d79990586 100644
--- a/tests/test_multi_segment.py
+++ b/tests/test_multi_segment.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_nonlinear_pipeline.py b/tests/test_nonlinear_pipeline.py
index 96665957ac..c2d0512e19 100755
--- a/tests/test_nonlinear_pipeline.py
+++ b/tests/test_nonlinear_pipeline.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_package.py b/tests/test_package.py
index 218aee88e3..635dfd8f61 100755
--- a/tests/test_package.py
+++ b/tests/test_package.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_phishing.py b/tests/test_phishing.py
index 16ccc371f6..4f434e993e 100755
--- a/tests/test_phishing.py
+++ b/tests/test_phishing.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_phishing_kafka.py b/tests/test_phishing_kafka.py
index f3bd41ec34..ba8fa1a14f 100755
--- a/tests/test_phishing_kafka.py
+++ b/tests/test_phishing_kafka.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_rss_source_stage_pipe.py b/tests/test_rss_source_stage_pipe.py
index 1b408af8d4..ab5a3f0951 100644
--- a/tests/test_rss_source_stage_pipe.py
+++ b/tests/test_rss_source_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -28,18 +28,6 @@
 invalid_feed_input = os.path.join(TEST_DIRS.tests_data_dir, "rss_feed_atom.xm")
 
 
-@pytest.mark.use_python
-def test_constructor_with_feed_url(config):
-
-    url_feed_input = "https://fake.nvidia.com/rss/HomePage.xml"
-    rss_source_stage = RSSSourceStage(config, feed_input=url_feed_input)
-
-    ctlr = rss_source_stage._controller
-
-    assert ctlr._feed_input == {"https://fake.nvidia.com/rss/HomePage.xml"}
-    assert ctlr._run_indefinitely is True
-
-
 @pytest.mark.use_python
 def test_support_cpp_node(config):
     url_feed_input = "https://fake.nvidia.com/rss/HomePage.xml"
@@ -60,7 +48,6 @@ def test_rss_source_stage_pipe(config: Config,
                                batch_size: int,
                                expected_count: int,
                                enable_cache: bool):
-
     pipe = Pipeline(config)
 
     rss_source_stage = pipe.add_stage(
@@ -74,8 +61,9 @@ def test_rss_source_stage_pipe(config: Config,
     assert len(sink_stage.get_messages()) == expected_count
 
 
-@pytest.mark.use_python
-def test_invalid_input_rss_source_stage(config: Config):
-
-    with pytest.raises(ValueError, match=f"Invalid URL or file path: {invalid_feed_input}"):
-        RSSSourceStage(config, feed_input=[invalid_feed_input], interval_secs=1, cooldown_interval=500)
+# TODO(Devin): Remove before merge, this isn't a stage test, this is a test of RSSController
+# @pytest.mark.use_python
+# def test_invalid_input_rss_source_stage(config: Config):
+#
+#     with pytest.raises(ValueError, match=f"Invalid URL or file path: {invalid_feed_input}"):
+#         RSSSourceStage(config, feed_input=[invalid_feed_input], interval_secs=1, cooldown_interval=500)
diff --git a/tests/test_serialize_stage.py b/tests/test_serialize_stage.py
index 9030a19e90..a84c7d37e6 100755
--- a/tests/test_serialize_stage.py
+++ b/tests/test_serialize_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_sid.py b/tests/test_sid.py
index 7cfd9e58a8..67ca36161c 100755
--- a/tests/test_sid.py
+++ b/tests/test_sid.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_sid_kafka.py b/tests/test_sid_kafka.py
index 483363b969..ecc87de4b3 100755
--- a/tests/test_sid_kafka.py
+++ b/tests/test_sid_kafka.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_splunk_notable_parser.py b/tests/test_splunk_notable_parser.py
index 6b375c9fef..ef089e5f82 100644
--- a/tests/test_splunk_notable_parser.py
+++ b/tests/test_splunk_notable_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_tensor_memory.py b/tests/test_tensor_memory.py
index eba82157c4..e3f072277c 100644
--- a/tests/test_tensor_memory.py
+++ b/tests/test_tensor_memory.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -94,7 +94,7 @@ def test_inference_memory_ae(config: Config):
 
     input_tensor = cp.array(test_data[:, 0])
     seq_ids = cp.array(test_data[:, 1])
-    mem = InferenceMemoryAE(count=count, input=input_tensor, seq_ids=seq_ids)
+    mem = InferenceMemoryAE(count=count, inputs=input_tensor, seq_ids=seq_ids)
 
     assert mem.count == count
     compare_tensors(mem.get_tensors(), {'input': input_tensor, 'seq_ids': seq_ids})
@@ -220,3 +220,21 @@ def test_tensorindex_bug(config: Config, tensor_cls: type, shape: typing.Tuple[i
     tensor_a = mem.get_tensor('a')
     assert tensor_a.shape == shape
     assert tensor_a.nbytes == shape[0] * shape[1] * 4
+
+
+def test_tensor_update(config: Config):
+    tensor_data = {
+        "input_ids": cp.array([1, 2, 3]), "input_mask": cp.array([1, 1, 1]), "segment_ids": cp.array([0, 0, 1])
+    }
+    tensor_memory = TensorMemory(count=3, tensors=tensor_data)
+
+    # Update tensors with new data
+    new_tensors = {
+        "input_ids": cp.array([4, 5, 6]), "input_mask": cp.array([1, 0, 1]), "segment_ids": cp.array([1, 1, 0])
+    }
+
+    tensor_memory.set_tensors(new_tensors)
+
+    for (key, cp_arr) in new_tensors.items():
+        tensor = tensor_memory.get_tensor(key)
+        cp.allclose(tensor, cp_arr)
diff --git a/tests/test_trigger_stage.py b/tests/test_trigger_stage.py
index e88d2f25ac..4345054daf 100755
--- a/tests/test_trigger_stage.py
+++ b/tests/test_trigger_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_triton_inference_stage.py b/tests/test_triton_inference_stage.py
index f39fb65b7c..a361c712a1 100644
--- a/tests/test_triton_inference_stage.py
+++ b/tests/test_triton_inference_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,11 +25,14 @@
 
 from _utils import assert_results
 from _utils import mk_async_infer
+from morpheus.config import Config
 from morpheus.config import ConfigFIL
 from morpheus.config import PipelineModes
 from morpheus.pipeline import LinearPipeline
+from morpheus.stages.inference.triton_inference_stage import ProducerConsumerQueue
 from morpheus.stages.inference.triton_inference_stage import ResourcePool
 from morpheus.stages.inference.triton_inference_stage import TritonInferenceStage
+from morpheus.stages.inference.triton_inference_stage import TritonInferenceWorker
 from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage
 from morpheus.stages.output.compare_dataframe_stage import CompareDataFrameStage
 from morpheus.stages.postprocess.add_scores_stage import AddScoresStage
@@ -119,6 +122,33 @@ def test_resource_pool_create_raises_error():
     assert pool.borrow_obj() == 20
 
 
+@pytest.mark.use_python
+@pytest.mark.parametrize("pipeline_mode", list(PipelineModes))
+def test_stage_constructor_worker_class(config: Config, pipeline_mode: PipelineModes):
+    config.mode = pipeline_mode
+    stage = TritonInferenceStage(config, model_name='test', server_url='test:0000')
+    worker = stage._get_inference_worker(ProducerConsumerQueue())
+    assert isinstance(worker, TritonInferenceWorker)
+
+
+@pytest.mark.use_python
+@pytest.mark.parametrize("pipeline_mode", list(PipelineModes))
+@pytest.mark.parametrize("needs_logits", [True, False, None])
+def test_stage_get_inference_worker(config: Config, pipeline_mode: PipelineModes, needs_logits: bool | None):
+    if needs_logits is None:
+        expexted_needs_logits = (pipeline_mode == PipelineModes.NLP)
+    else:
+        expexted_needs_logits = needs_logits
+
+    config.mode = pipeline_mode
+
+    stage = TritonInferenceStage(config, model_name='test', server_url='test:0000', needs_logits=needs_logits)
+
+    worker = stage._get_inference_worker(ProducerConsumerQueue())
+    assert isinstance(worker, TritonInferenceWorker)
+    assert worker.needs_logits == expexted_needs_logits
+
+
 @pytest.mark.slow
 @pytest.mark.use_python
 @pytest.mark.parametrize('num_records', [1000, 2000, 4000])
diff --git a/tests/test_url_parser.py b/tests/test_url_parser.py
index a98fdc4b0d..9bede2a9fa 100644
--- a/tests/test_url_parser.py
+++ b/tests/test_url_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_validation_stage_pipe.py b/tests/test_validation_stage_pipe.py
index b094fd9458..51a9b5a2f5 100644
--- a/tests/test_validation_stage_pipe.py
+++ b/tests/test_validation_stage_pipe.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_windows_event_parser.py b/tests/test_windows_event_parser.py
index ffbe539ac5..c90207612e 100644
--- a/tests/test_windows_event_parser.py
+++ b/tests/test_windows_event_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_write_to_databricks_deltalake_stage.py b/tests/test_write_to_databricks_deltalake_stage.py
index bb1daedc7e..39213f81fb 100644
--- a/tests/test_write_to_databricks_deltalake_stage.py
+++ b/tests/test_write_to_databricks_deltalake_stage.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_write_to_elasticsearch_stage_pipe.py b/tests/test_write_to_elasticsearch_stage_pipe.py
index 07c9929526..199ff8319d 100644
--- a/tests/test_write_to_elasticsearch_stage_pipe.py
+++ b/tests/test_write_to_elasticsearch_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_write_to_file_stage.py b/tests/test_write_to_file_stage.py
index 28f794f195..002d3d4808 100755
--- a/tests/test_write_to_file_stage.py
+++ b/tests/test_write_to_file_stage.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_write_to_kafka_stage_pipe.py b/tests/test_write_to_kafka_stage_pipe.py
index 87e63f84a1..94b17a196c 100644
--- a/tests/test_write_to_kafka_stage_pipe.py
+++ b/tests/test_write_to_kafka_stage_pipe.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/tests/test_zeek.py b/tests/test_zeek.py
index 71b35d8be0..a194798dae 100644
--- a/tests/test_zeek.py
+++ b/tests/test_zeek.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/tests_data/bools.csv b/tests/tests_data/bools.csv
new file mode 100644
index 0000000000..04b48f7ffd
--- /dev/null
+++ b/tests/tests_data/bools.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd3b28c6013aa66676adebcafeb433db8debd0af3ecf158a70c34e8cd435d222
+size 26
diff --git a/tests/tests_data/countries.csv b/tests/tests_data/countries.csv
new file mode 100644
index 0000000000..7e95c88d42
--- /dev/null
+++ b/tests/tests_data/countries.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63e2b6cbcf342812d20b7af616f0886d42aa326e52422c3f7591917e08af0ea0
+size 1940
diff --git a/tests/tests_data/countries_sample.csv b/tests/tests_data/countries_sample.csv
new file mode 100644
index 0000000000..8ef8a3c2c7
--- /dev/null
+++ b/tests/tests_data/countries_sample.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d82b02c9a42bfb7ed3c8ba5abce531bf613b3754c4da4105e525a112505f4c1e
+size 50
diff --git a/tests/tests_data/csv_sample.csv b/tests/tests_data/csv_sample.csv
new file mode 100644
index 0000000000..9d2aff44af
--- /dev/null
+++ b/tests/tests_data/csv_sample.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:977ef8a2d12b388e2dc6db474d00e0f488f1fe0fc733f88d51668ade50f5e9a5
+size 32
diff --git a/tests/tests_data/examples/llm/vdb_upload/test_data.csv b/tests/tests_data/examples/llm/vdb_upload/test_data.csv
new file mode 100755
index 0000000000..467e516886
--- /dev/null
+++ b/tests/tests_data/examples/llm/vdb_upload/test_data.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2fc74ea761a42ae0230c12289bcd459cd5facda05504afe691cfcd4ecce443b
+size 1955
diff --git a/tests/tests_data/examples/llm/vdb_upload/test_data_output.json b/tests/tests_data/examples/llm/vdb_upload/test_data_output.json
new file mode 100755
index 0000000000..754bb5d0c1
--- /dev/null
+++ b/tests/tests_data/examples/llm/vdb_upload/test_data_output.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:624aee8ddf26ca20cb70601616a343d4b1d01fbfe1938013bfeac5a80e6f40a0
+size 26436
diff --git a/tests/tests_data/float_str.csv b/tests/tests_data/float_str.csv
new file mode 100644
index 0000000000..aa71f48920
--- /dev/null
+++ b/tests/tests_data/float_str.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cef5fa8f94abdcdd3521841741cfe83f965b9885ee5d667ee2ab634a4fed6cb7
+size 58
diff --git a/tests/tests_data/floats.csv b/tests/tests_data/floats.csv
new file mode 100644
index 0000000000..505c7573d4
--- /dev/null
+++ b/tests/tests_data/floats.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2976ed36677ac1692bf86c6bca39a145722d7dd2aed087487aec6567e0c2af31
+size 22
diff --git a/tests/tests_data/logging.json b/tests/tests_data/logging.json
new file mode 100644
index 0000000000..bb681247b7
--- /dev/null
+++ b/tests/tests_data/logging.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c9bffb074de716dc573421a31fa8ab75a3476676db1522fb839c2e75807faba
+size 752
diff --git a/tests/utils/nvt/__init__.py b/tests/utils/nvt/__init__.py
index 081b2ae826..66061e580b 100644
--- a/tests/utils/nvt/__init__.py
+++ b/tests/utils/nvt/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/utils/nvt/integration/__init__.py b/tests/utils/nvt/integration/__init__.py
index 081b2ae826..66061e580b 100644
--- a/tests/utils/nvt/integration/__init__.py
+++ b/tests/utils/nvt/integration/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/utils/nvt/integration/test_mutate_op.py b/tests/utils/nvt/integration/test_mutate_op.py
index c690dfc0a7..ce0808681b 100644
--- a/tests/utils/nvt/integration/test_mutate_op.py
+++ b/tests/utils/nvt/integration/test_mutate_op.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/utils/nvt/test_json_flatten_transform.py b/tests/utils/nvt/test_json_flatten_transform.py
index faf998e4ff..e0657925f5 100644
--- a/tests/utils/nvt/test_json_flatten_transform.py
+++ b/tests/utils/nvt/test_json_flatten_transform.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,9 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import warnings
+
 import pandas as pd
 import pytest
-from nvtabular.ops.operator import ColumnSelector
+
+with warnings.catch_warnings():
+    # Ignore warning regarding tensorflow not being installed
+    warnings.filterwarnings("ignore", message=".*No module named 'tensorflow'", category=UserWarning)
+    from nvtabular.ops.operator import ColumnSelector
 
 import cudf
 
diff --git a/tests/utils/nvt/test_mutate_op.py b/tests/utils/nvt/test_mutate_op.py
index 034e4f9049..3023d9701e 100644
--- a/tests/utils/nvt/test_mutate_op.py
+++ b/tests/utils/nvt/test_mutate_op.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,13 +12,19 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import warnings
+
 import numpy as np
 import pandas as pd
 import pytest
-from merlin.core.dispatch import DataFrameType
-from merlin.schema import ColumnSchema
-from merlin.schema import Schema
-from nvtabular.ops.operator import ColumnSelector
+
+with warnings.catch_warnings():
+    # Ignore warning regarding tensorflow not being installed
+    warnings.filterwarnings("ignore", message=".*No module named 'tensorflow'", category=UserWarning)
+    from merlin.core.dispatch import DataFrameType
+    from merlin.schema import ColumnSchema
+    from merlin.schema import Schema
+    from nvtabular.ops.operator import ColumnSelector
 
 from morpheus.utils.nvt.mutate import MutateOp
 
diff --git a/tests/utils/nvt/test_schema_converters.py b/tests/utils/nvt/test_schema_converters.py
index 03270a6da5..9b00440d1a 100644
--- a/tests/utils/nvt/test_schema_converters.py
+++ b/tests/utils/nvt/test_schema_converters.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -13,8 +13,13 @@
 # limitations under the License.
 
 import json
+import warnings
+
+with warnings.catch_warnings():
+    # Ignore warning regarding tensorflow not being installed
+    warnings.filterwarnings("ignore", message=".*No module named 'tensorflow'", category=UserWarning)
+    import nvtabular as nvt
 
-import nvtabular as nvt
 import pandas as pd
 import pytest
 
diff --git a/tests/utils/nvt/test_transforms.py b/tests/utils/nvt/test_transforms.py
index c390f37627..96df15447c 100644
--- a/tests/utils/nvt/test_transforms.py
+++ b/tests/utils/nvt/test_transforms.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,9 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import warnings
+
 import pandas as pd
 import pytest
-from nvtabular.ops.operator import ColumnSelector
+
+with warnings.catch_warnings():
+    # Ignore warning regarding tensorflow not being installed
+    warnings.filterwarnings("ignore", message=".*No module named 'tensorflow'", category=UserWarning)
+    from nvtabular.ops.operator import ColumnSelector
 
 from _utils.dataset_manager import DatasetManager
 from morpheus.utils.nvt.transforms import json_flatten
diff --git a/tests/utils/test_control_message_utils.py b/tests/utils/test_control_message_utils.py
index 65b93a1bf1..71be9c7074 100644
--- a/tests/utils/test_control_message_utils.py
+++ b/tests/utils/test_control_message_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,8 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import pytest
-
 from morpheus.messages import ControlMessage
 from morpheus.utils.control_message_utils import CMDefaultFailureContextManager
 from morpheus.utils.control_message_utils import cm_set_failure
@@ -37,7 +35,7 @@ def test_skip_forward_on_cm_failed():
 
     # pylint: disable=unused-argument
     @cm_skip_processing_if_failed
-    def dummy_func(control_message, *args, **kwargs):
+    def dummy_func(cm, *args, **kwargs):
         return "Function Executed"
 
     assert dummy_func(control_message) == control_message
@@ -50,8 +48,8 @@ def test_cm_default_failure_context_manager_no_exception():
     control_message = ControlMessage()
     with CMDefaultFailureContextManager(control_message):
         pass
-    with pytest.raises(RuntimeError):
-        control_message.get_metadata("cm_failed")
+
+        assert control_message.get_metadata("cm_failed") is None
 
 
 def test_cm_default_failure_context_manager_with_exception():
diff --git a/tests/utils/test_execution_chain.py b/tests/utils/test_execution_chain.py
index 454e078272..212125b4e6 100644
--- a/tests/utils/test_execution_chain.py
+++ b/tests/utils/test_execution_chain.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/utils/test_http_utils.py b/tests/utils/test_http_utils.py
index dbe66f7d54..abaf1ad809 100644
--- a/tests/utils/test_http_utils.py
+++ b/tests/utils/test_http_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/utils/test_sql_utils.py b/tests/utils/test_sql_utils.py
index 3842e2d5ea..060b57c31f 100644
--- a/tests/utils/test_sql_utils.py
+++ b/tests/utils/test_sql_utils.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
diff --git a/versioneer.py b/versioneer.py
deleted file mode 100644
index f5f276f846..0000000000
--- a/versioneer.py
+++ /dev/null
@@ -1,2155 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-# Version: 0.22
-
-"""The Versioneer - like a rocketeer, but for versions.
-
-The Versioneer
-==============
-
-* like a rocketeer, but for versions!
-* https://github.com/python-versioneer/python-versioneer
-* Brian Warner
-* License: Public Domain
-* Compatible with: Python 3.6, 3.7, 3.8, 3.9, 3.10 and pypy3
-* [![Latest Version][pypi-image]][pypi-url]
-* [![Build Status][travis-image]][travis-url]
-
-This is a tool for managing a recorded version number in distutils/setuptools-based
-python projects. The goal is to remove the tedious and error-prone "update
-the embedded version string" step from your release process. Making a new
-release should be as easy as recording a new tag in your version-control
-system, and maybe making new tarballs.
-
-
-## Quick Install
-
-* `pip install versioneer` to somewhere in your $PATH
-* add a `[versioneer]` section to your setup.cfg (see [Install](INSTALL.md))
-* run `versioneer install` in your source tree, commit the results
-* Verify version information with `python setup.py version`
-
-## Version Identifiers
-
-Source trees come from a variety of places:
-
-* a version-control system checkout (mostly used by developers)
-* a nightly tarball, produced by build automation
-* a snapshot tarball, produced by a web-based VCS browser, like github's
-  "tarball from tag" feature
-* a release tarball, produced by "setup.py sdist", distributed through PyPI
-
-Within each source tree, the version identifier (either a string or a number,
-this tool is format-agnostic) can come from a variety of places:
-
-* ask the VCS tool itself, e.g. "git describe" (for checkouts), which knows
-  about recent "tags" and an absolute revision-id
-* the name of the directory into which the tarball was unpacked
-* an expanded VCS keyword ($Id$, etc)
-* a `_version.py` created by some earlier build step
-
-For released software, the version identifier is closely related to a VCS
-tag. Some projects use tag names that include more than just the version
-string (e.g. "myproject-1.2" instead of just "1.2"), in which case the tool
-needs to strip the tag prefix to extract the version identifier. For
-unreleased software (between tags), the version identifier should provide
-enough information to help developers recreate the same tree, while also
-giving them an idea of roughly how old the tree is (after version 1.2, before
-version 1.3). Many VCS systems can report a description that captures this,
-for example `git describe --tags --dirty --always` reports things like
-"0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the
-0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has
-uncommitted changes).
-
-The version identifier is used for multiple purposes:
-
-* to allow the module to self-identify its version: `myproject.__version__`
-* to choose a name and prefix for a 'setup.py sdist' tarball
-
-## Theory of Operation
-
-Versioneer works by adding a special `_version.py` file into your source
-tree, where your `__init__.py` can import it. This `_version.py` knows how to
-dynamically ask the VCS tool for version information at import time.
-
-`_version.py` also contains `$Revision$` markers, and the installation
-process marks `_version.py` to have this marker rewritten with a tag name
-during the `git archive` command. As a result, generated tarballs will
-contain enough information to get the proper version.
-
-To allow `setup.py` to compute a version too, a `versioneer.py` is added to
-the top level of your source tree, next to `setup.py` and the `setup.cfg`
-that configures it. This overrides several distutils/setuptools commands to
-compute the version when invoked, and changes `setup.py build` and `setup.py
-sdist` to replace `_version.py` with a small static file that contains just
-the generated version data.
-
-## Installation
-
-See [INSTALL.md](./INSTALL.md) for detailed installation instructions.
-
-## Version-String Flavors
-
-Code which uses Versioneer can learn about its version string at runtime by
-importing `_version` from your main `__init__.py` file and running the
-`get_versions()` function. From the "outside" (e.g. in `setup.py`), you can
-import the top-level `versioneer.py` and run `get_versions()`.
-
-Both functions return a dictionary with different flavors of version
-information:
-
-* `['version']`: A condensed version string, rendered using the selected
-  style. This is the most commonly used value for the project's version
-  string. The default "pep440" style yields strings like `0.11`,
-  `0.11+2.g1076c97`, or `0.11+2.g1076c97.dirty`. See the "Styles" section
-  below for alternative styles.
-
-* `['full-revisionid']`: detailed revision identifier. For Git, this is the
-  full SHA1 commit id, e.g. "1076c978a8d3cfc70f408fe5974aa6c092c949ac".
-
-* `['date']`: Date and time of the latest `HEAD` commit. For Git, it is the
-  commit date in ISO 8601 format. This will be None if the date is not
-  available.
-
-* `['dirty']`: a boolean, True if the tree has uncommitted changes. Note that
-  this is only accurate if run in a VCS checkout, otherwise it is likely to
-  be False or None
-
-* `['error']`: if the version string could not be computed, this will be set
-  to a string describing the problem, otherwise it will be None. It may be
-  useful to throw an exception in setup.py if this is set, to avoid e.g.
-  creating tarballs with a version string of "unknown".
-
-Some variants are more useful than others. Including `full-revisionid` in a
-bug report should allow developers to reconstruct the exact code being tested
-(or indicate the presence of local changes that should be shared with the
-developers). `version` is suitable for display in an "about" box or a CLI
-`--version` output: it can be easily compared against release notes and lists
-of bugs fixed in various releases.
-
-The installer adds the following text to your `__init__.py` to place a basic
-version in `YOURPROJECT.__version__`:
-
-    from ._version import get_versions
-    __version__ = get_versions()['version']
-    del get_versions
-
-## Styles
-
-The setup.cfg `style=` configuration controls how the VCS information is
-rendered into a version string.
-
-The default style, "pep440", produces a PEP440-compliant string, equal to the
-un-prefixed tag name for actual releases, and containing an additional "local
-version" section with more detail for in-between builds. For Git, this is
-TAG[+DISTANCE.gHEX[.dirty]] , using information from `git describe --tags
---dirty --always`. For example "0.11+2.g1076c97.dirty" indicates that the
-tree is like the "1076c97" commit but has uncommitted changes (".dirty"), and
-that this commit is two revisions ("+2") beyond the "0.11" tag. For released
-software (exactly equal to a known tag), the identifier will only contain the
-stripped tag, e.g. "0.11".
-
-Other styles are available. See [details.md](details.md) in the Versioneer
-source tree for descriptions.
-
-## Debugging
-
-Versioneer tries to avoid fatal errors: if something goes wrong, it will tend
-to return a version of "0+unknown". To investigate the problem, run `setup.py
-version`, which will run the version-lookup code in a verbose mode, and will
-display the full contents of `get_versions()` (including the `error` string,
-which may help identify what went wrong).
-
-## Known Limitations
-
-Some situations are known to cause problems for Versioneer. This details the
-most significant ones. More can be found on Github
-[issues page](https://github.com/python-versioneer/python-versioneer/issues).
-
-### Subprojects
-
-Versioneer has limited support for source trees in which `setup.py` is not in
-the root directory (e.g. `setup.py` and `.git/` are *not* siblings). The are
-two common reasons why `setup.py` might not be in the root:
-
-* Source trees which contain multiple subprojects, such as
-  [Buildbot](https://github.com/buildbot/buildbot), which contains both
-  "master" and "slave" subprojects, each with their own `setup.py`,
-  `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI
-  distributions (and upload multiple independently-installable tarballs).
-* Source trees whose main purpose is to contain a C library, but which also
-  provide bindings to Python (and perhaps other languages) in subdirectories.
-
-Versioneer will look for `.git` in parent directories, and most operations
-should get the right version string. However `pip` and `setuptools` have bugs
-and implementation details which frequently cause `pip install .` from a
-subproject directory to fail to find a correct version string (so it usually
-defaults to `0+unknown`).
-
-`pip install --editable .` should work correctly. `setup.py install` might
-work too.
-
-Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in
-some later version.
-
-[Bug #38](https://github.com/python-versioneer/python-versioneer/issues/38) is tracking
-this issue. The discussion in
-[PR #61](https://github.com/python-versioneer/python-versioneer/pull/61) describes the
-issue from the Versioneer side in more detail.
-[pip PR#3176](https://github.com/pypa/pip/pull/3176) and
-[pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve
-pip to let Versioneer work correctly.
-
-Versioneer-0.16 and earlier only looked for a `.git` directory next to the
-`setup.cfg`, so subprojects were completely unsupported with those releases.
-
-### Editable installs with setuptools <= 18.5
-
-`setup.py develop` and `pip install --editable .` allow you to install a
-project into a virtualenv once, then continue editing the source code (and
-test) without re-installing after every change.
-
-"Entry-point scripts" (`setup(entry_points={"console_scripts": ..})`) are a
-convenient way to specify executable scripts that should be installed along
-with the python package.
-
-These both work as expected when using modern setuptools. When using
-setuptools-18.5 or earlier, however, certain operations will cause
-`pkg_resources.DistributionNotFound` errors when running the entrypoint
-script, which must be resolved by re-installing the package. This happens
-when the install happens with one version, then the egg_info data is
-regenerated while a different version is checked out. Many setup.py commands
-cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into
-a different virtualenv), so this can be surprising.
-
-[Bug #83](https://github.com/python-versioneer/python-versioneer/issues/83) describes
-this one, but upgrading to a newer version of setuptools should probably
-resolve it.
-
-
-## Updating Versioneer
-
-To upgrade your project to a new release of Versioneer, do the following:
-
-* install the new Versioneer (`pip install -U versioneer` or equivalent)
-* edit `setup.cfg`, if necessary, to include any new configuration settings
-  indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details.
-* re-run `versioneer install` in your source tree, to replace
-  `SRC/_version.py`
-* commit any changed files
-
-## Future Directions
-
-This tool is designed to make it easily extended to other version-control
-systems: all VCS-specific components are in separate directories like
-src/git/ . The top-level `versioneer.py` script is assembled from these
-components by running make-versioneer.py . In the future, make-versioneer.py
-will take a VCS name as an argument, and will construct a version of
-`versioneer.py` that is specific to the given VCS. It might also take the
-configuration arguments that are currently provided manually during
-installation by editing setup.py . Alternatively, it might go the other
-direction and include code from all supported VCS systems, reducing the
-number of intermediate scripts.
-
-## Similar projects
-
-* [setuptools_scm](https://github.com/pypa/setuptools_scm/) - a non-vendored build-time
-  dependency
-* [minver](https://github.com/jbweston/miniver) - a lightweight reimplementation of
-  versioneer
-* [versioningit](https://github.com/jwodder/versioningit) - a PEP 518-based setuptools
-  plugin
-
-## License
-
-To make Versioneer easier to embed, all its code is dedicated to the public
-domain. The `_version.py` that it creates is also in the public domain.
-Specifically, both are released under the Creative Commons "Public Domain
-Dedication" license (CC0-1.0), as described in
-https://creativecommons.org/publicdomain/zero/1.0/ .
-
-[pypi-image]: https://img.shields.io/pypi/v/versioneer.svg
-[pypi-url]: https://pypi.python.org/pypi/versioneer/
-[travis-image]:
-https://img.shields.io/travis/com/python-versioneer/python-versioneer.svg
-[travis-url]: https://travis-ci.com/github/python-versioneer/python-versioneer
-
-"""
-# pylint:disable=invalid-name,import-outside-toplevel,missing-function-docstring
-# pylint:disable=missing-class-docstring,too-many-branches,too-many-statements
-# pylint:disable=raise-missing-from,too-many-lines,too-many-locals,import-error
-# pylint:disable=too-few-public-methods,redefined-outer-name,consider-using-with
-# pylint:disable=attribute-defined-outside-init,too-many-arguments
-
-import configparser
-import errno
-import json
-import os
-import re
-import subprocess
-import sys
-from typing import Callable, Dict
-import functools
-
-
-class VersioneerConfig:
-    """Container for Versioneer configuration parameters."""
-
-
-def get_root():
-    """Get the project root directory.
-
-    We require that all commands are run from the project root, i.e. the
-    directory that contains setup.py, setup.cfg, and versioneer.py .
-    """
-    root = os.path.realpath(os.path.abspath(os.getcwd()))
-    setup_py = os.path.join(root, "setup.py")
-    versioneer_py = os.path.join(root, "versioneer.py")
-    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
-        # allow 'python path/to/setup.py COMMAND'
-        root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0])))
-        setup_py = os.path.join(root, "setup.py")
-        versioneer_py = os.path.join(root, "versioneer.py")
-    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
-        err = ("Versioneer was unable to run the project root directory. "
-               "Versioneer requires setup.py to be executed from "
-               "its immediate directory (like 'python setup.py COMMAND'), "
-               "or in a way that lets it use sys.argv[0] to find the root "
-               "(like 'python path/to/setup.py COMMAND').")
-        raise VersioneerBadRootError(err)
-    try:
-        # Certain runtime workflows (setup.py install/develop in a setuptools
-        # tree) execute all dependencies in a single python process, so
-        # "versioneer" may be imported multiple times, and python's shared
-        # module-import table will cache the first one. So we can't use
-        # os.path.dirname(__file__), as that will find whichever
-        # versioneer.py was first imported, even in later projects.
-        my_path = os.path.realpath(os.path.abspath(__file__))
-        me_dir = os.path.normcase(os.path.splitext(my_path)[0])
-        vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])
-        if me_dir != vsr_dir:
-            print("Warning: build in %s is using versioneer.py from %s"
-                  % (os.path.dirname(my_path), versioneer_py))
-    except NameError:
-        pass
-    return root
-
-
-def get_config_from_root(root):
-    """Read the project setup.cfg file to determine Versioneer config."""
-    # This might raise OSError (if setup.cfg is missing), or
-    # configparser.NoSectionError (if it lacks a [versioneer] section), or
-    # configparser.NoOptionError (if it lacks "VCS="). See the docstring at
-    # the top of versioneer.py for instructions on writing your setup.cfg .
-    setup_cfg = os.path.join(root, "setup.cfg")
-    parser = configparser.ConfigParser()
-    with open(setup_cfg, "r") as cfg_file:
-        parser.read_file(cfg_file)
-    VCS = parser.get("versioneer", "VCS")  # mandatory
-
-    # Dict-like interface for non-mandatory entries
-    section = parser["versioneer"]
-
-    cfg = VersioneerConfig()
-    cfg.VCS = VCS
-    cfg.style = section.get("style", "")
-    cfg.versionfile_source = section.get("versionfile_source")
-    cfg.versionfile_build = section.get("versionfile_build")
-    cfg.tag_prefix = section.get("tag_prefix")
-    if cfg.tag_prefix in ("''", '""'):
-        cfg.tag_prefix = ""
-    cfg.parentdir_prefix = section.get("parentdir_prefix")
-    cfg.verbose = section.get("verbose")
-    return cfg
-
-
-class NotThisMethod(Exception):
-    """Exception raised if a method is not valid for the current scenario."""
-
-
-# these dictionaries contain VCS-specific tools
-LONG_VERSION_PY: Dict[str, str] = {}
-HANDLERS: Dict[str, Dict[str, Callable]] = {}
-
-
-def register_vcs_handler(vcs, method):  # decorator
-    """Create decorator to mark a method as the handler of a VCS."""
-    def decorate(f):
-        """Store f in HANDLERS[vcs][method]."""
-        HANDLERS.setdefault(vcs, {})[method] = f
-        return f
-    return decorate
-
-
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
-    """Call the given command(s)."""
-    assert isinstance(commands, list)
-    process = None
-
-    popen_kwargs = {}
-    if sys.platform == "win32":
-        # This hides the console window if pythonw.exe is used
-        startupinfo = subprocess.STARTUPINFO()
-        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
-        popen_kwargs["startupinfo"] = startupinfo
-
-    for command in commands:
-        try:
-            dispcmd = str([command] + args)
-            # remember shell=False, so use git.cmd on windows, not just git
-            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
-                                       stdout=subprocess.PIPE,
-                                       stderr=(subprocess.PIPE if hide_stderr
-                                               else None), **popen_kwargs)
-            break
-        except OSError:
-            e = sys.exc_info()[1]
-            if e.errno == errno.ENOENT:
-                continue
-            if verbose:
-                print("unable to run %s" % dispcmd)
-                print(e)
-            return None, None
-    else:
-        if verbose:
-            print("unable to find command, tried %s" % (commands,))
-        return None, None
-    stdout = process.communicate()[0].strip().decode()
-    if process.returncode != 0:
-        if verbose:
-            print("unable to run %s (error)" % dispcmd)
-            print("stdout was %s" % stdout)
-        return None, process.returncode
-    return stdout, process.returncode
-
-
-LONG_VERSION_PY['git'] = r'''
-# This file helps to compute a version number in source trees obtained from
-# git-archive tarball (such as those provided by githubs download-from-tag
-# feature). Distribution tarballs (built by setup.py sdist) and build
-# directories (produced by setup.py build) will contain a much shorter file
-# that just contains the computed version number.
-
-# This file is released into the public domain. Generated by
-# versioneer-0.22 (https://github.com/python-versioneer/python-versioneer)
-
-"""Git implementation of _version.py."""
-
-import errno
-import os
-import re
-import subprocess
-import sys
-from typing import Callable, Dict
-import functools
-
-
-def get_keywords():
-    """Get the keywords needed to look up the version information."""
-    # these strings will be replaced by git during git-archive.
-    # setup.py/versioneer.py will grep for the variable names, so they must
-    # each be defined on a line of their own. _version.py will just call
-    # get_keywords().
-    git_refnames = "%(DOLLAR)sFormat:%%d%(DOLLAR)s"
-    git_full = "%(DOLLAR)sFormat:%%H%(DOLLAR)s"
-    git_date = "%(DOLLAR)sFormat:%%ci%(DOLLAR)s"
-    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
-    return keywords
-
-
-class VersioneerConfig:
-    """Container for Versioneer configuration parameters."""
-
-
-def get_config():
-    """Create, populate and return the VersioneerConfig() object."""
-    # these strings are filled in when 'setup.py versioneer' creates
-    # _version.py
-    cfg = VersioneerConfig()
-    cfg.VCS = "git"
-    cfg.style = "%(STYLE)s"
-    cfg.tag_prefix = "%(TAG_PREFIX)s"
-    cfg.parentdir_prefix = "%(PARENTDIR_PREFIX)s"
-    cfg.versionfile_source = "%(VERSIONFILE_SOURCE)s"
-    cfg.verbose = False
-    return cfg
-
-
-class NotThisMethod(Exception):
-    """Exception raised if a method is not valid for the current scenario."""
-
-
-LONG_VERSION_PY: Dict[str, str] = {}
-HANDLERS: Dict[str, Dict[str, Callable]] = {}
-
-
-def register_vcs_handler(vcs, method):  # decorator
-    """Create decorator to mark a method as the handler of a VCS."""
-    def decorate(f):
-        """Store f in HANDLERS[vcs][method]."""
-        if vcs not in HANDLERS:
-            HANDLERS[vcs] = {}
-        HANDLERS[vcs][method] = f
-        return f
-    return decorate
-
-
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
-    """Call the given command(s)."""
-    assert isinstance(commands, list)
-    process = None
-
-    popen_kwargs = {}
-    if sys.platform == "win32":
-        # This hides the console window if pythonw.exe is used
-        startupinfo = subprocess.STARTUPINFO()
-        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
-        popen_kwargs["startupinfo"] = startupinfo
-
-    for command in commands:
-        try:
-            dispcmd = str([command] + args)
-            # remember shell=False, so use git.cmd on windows, not just git
-            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
-                                       stdout=subprocess.PIPE,
-                                       stderr=(subprocess.PIPE if hide_stderr
-                                               else None), **popen_kwargs)
-            break
-        except OSError:
-            e = sys.exc_info()[1]
-            if e.errno == errno.ENOENT:
-                continue
-            if verbose:
-                print("unable to run %%s" %% dispcmd)
-                print(e)
-            return None, None
-    else:
-        if verbose:
-            print("unable to find command, tried %%s" %% (commands,))
-        return None, None
-    stdout = process.communicate()[0].strip().decode()
-    if process.returncode != 0:
-        if verbose:
-            print("unable to run %%s (error)" %% dispcmd)
-            print("stdout was %%s" %% stdout)
-        return None, process.returncode
-    return stdout, process.returncode
-
-
-def versions_from_parentdir(parentdir_prefix, root, verbose):
-    """Try to determine the version from the parent directory name.
-
-    Source tarballs conventionally unpack into a directory that includes both
-    the project name and a version string. We will also support searching up
-    two directory levels for an appropriately named parent directory
-    """
-    rootdirs = []
-
-    for _ in range(3):
-        dirname = os.path.basename(root)
-        if dirname.startswith(parentdir_prefix):
-            return {"version": dirname[len(parentdir_prefix):],
-                    "full-revisionid": None,
-                    "dirty": False, "error": None, "date": None}
-        rootdirs.append(root)
-        root = os.path.dirname(root)  # up a level
-
-    if verbose:
-        print("Tried directories %%s but none started with prefix %%s" %%
-              (str(rootdirs), parentdir_prefix))
-    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
-
-
-@register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
-    """Extract version information from the given file."""
-    # the code embedded in _version.py can just fetch the value of these
-    # keywords. When used from setup.py, we don't want to import _version.py,
-    # so we do it with a regexp instead. This function is not used from
-    # _version.py.
-    keywords = {}
-    try:
-        with open(versionfile_abs, "r") as fobj:
-            for line in fobj:
-                if line.strip().startswith("git_refnames ="):
-                    mo = re.search(r'=\s*"(.*)"', line)
-                    if mo:
-                        keywords["refnames"] = mo.group(1)
-                if line.strip().startswith("git_full ="):
-                    mo = re.search(r'=\s*"(.*)"', line)
-                    if mo:
-                        keywords["full"] = mo.group(1)
-                if line.strip().startswith("git_date ="):
-                    mo = re.search(r'=\s*"(.*)"', line)
-                    if mo:
-                        keywords["date"] = mo.group(1)
-    except OSError:
-        pass
-    return keywords
-
-
-@register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
-    """Get version information from git keywords."""
-    if "refnames" not in keywords:
-        raise NotThisMethod("Short version file found")
-    date = keywords.get("date")
-    if date is not None:
-        # Use only the last line.  Previous lines may contain GPG signature
-        # information.
-        date = date.splitlines()[-1]
-
-        # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant
-        # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601
-        # -like" string, which we must then edit to make compliant), because
-        # it's been around since git-1.5.3, and it's too difficult to
-        # discover which version we're using, or to work around using an
-        # older one.
-        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
-    refnames = keywords["refnames"].strip()
-    if refnames.startswith("$Format"):
-        if verbose:
-            print("keywords are unexpanded, not using")
-        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = {r.strip() for r in refnames.strip("()").split(",")}
-    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
-    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
-    TAG = "tag: "
-    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
-    if not tags:
-        # Either we're using git < 1.8.3, or there really are no tags. We use
-        # a heuristic: assume all version tags have a digit. The old git %%d
-        # expansion behaves like git log --decorate=short and strips out the
-        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
-        # between branches and tags. By ignoring refnames without digits, we
-        # filter out many common branch names like "release" and
-        # "stabilization", as well as "HEAD" and "master".
-        tags = {r for r in refs if re.search(r'\d', r)}
-        if verbose:
-            print("discarding '%%s', no digits" %% ",".join(refs - tags))
-    if verbose:
-        print("likely tags: %%s" %% ",".join(sorted(tags)))
-    for ref in sorted(tags):
-        # sorting will prefer e.g. "2.0" over "2.0rc1"
-        if ref.startswith(tag_prefix):
-            r = ref[len(tag_prefix):]
-            # Filter out refs that exactly match prefix or that don't start
-            # with a number once the prefix is stripped (mostly a concern
-            # when prefix is '')
-            if not re.match(r'\d', r):
-                continue
-            if verbose:
-                print("picking %%s" %% r)
-            return {"version": r,
-                    "full-revisionid": keywords["full"].strip(),
-                    "dirty": False, "error": None,
-                    "date": date}
-    # no suitable tags, so version is "0+unknown", but full hex is still there
-    if verbose:
-        print("no suitable tags, using unknown + full revision id")
-    return {"version": "0+unknown",
-            "full-revisionid": keywords["full"].strip(),
-            "dirty": False, "error": "no suitable tags", "date": None}
-
-
-@register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, runner=run_command):
-    """Get version from 'git describe' in the root of the source tree.
-
-    This only gets called if the git-archive 'subst' keywords were *not*
-    expanded, and _version.py hasn't already been rewritten with a short
-    version string, meaning we're inside a checked out source tree.
-    """
-    GITS = ["git"]
-    if sys.platform == "win32":
-        GITS = ["git.cmd", "git.exe"]
-
-    # GIT_DIR can interfere with correct operation of Versioneer.
-    # It may be intended to be passed to the Versioneer-versioned project,
-    # but that should not change where we get our version from.
-    env = os.environ.copy()
-    env.pop("GIT_DIR", None)
-    runner = functools.partial(runner, env=env)
-
-    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                   hide_stderr=True)
-    if rc != 0:
-        if verbose:
-            print("Directory %%s not under git control" %% root)
-        raise NotThisMethod("'git rev-parse --git-dir' returned error")
-
-    MATCH_ARGS = ["--match", "%%s*" %% tag_prefix] if tag_prefix else []
-
-    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
-    # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = runner(GITS, ["describe", "--tags", "--dirty",
-                                     "--always", "--long", *MATCH_ARGS],
-                              cwd=root)
-    # --long was added in git-1.5.5
-    if describe_out is None:
-        raise NotThisMethod("'git describe' failed")
-    describe_out = describe_out.strip()
-    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
-    if full_out is None:
-        raise NotThisMethod("'git rev-parse' failed")
-    full_out = full_out.strip()
-
-    pieces = {}
-    pieces["long"] = full_out
-    pieces["short"] = full_out[:7]  # maybe improved later
-    pieces["error"] = None
-
-    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
-                             cwd=root)
-    # --abbrev-ref was added in git-1.6.3
-    if rc != 0 or branch_name is None:
-        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
-    branch_name = branch_name.strip()
-
-    if branch_name == "HEAD":
-        # If we aren't exactly on a branch, pick a branch which represents
-        # the current commit. If all else fails, we are on a branchless
-        # commit.
-        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
-        # --contains was added in git-1.5.4
-        if rc != 0 or branches is None:
-            raise NotThisMethod("'git branch --contains' returned error")
-        branches = branches.split("\n")
-
-        # Remove the first line if we're running detached
-        if "(" in branches[0]:
-            branches.pop(0)
-
-        # Strip off the leading "* " from the list of branches.
-        branches = [branch[2:] for branch in branches]
-        if "master" in branches:
-            branch_name = "master"
-        elif not branches:
-            branch_name = None
-        else:
-            # Pick the first branch that is returned. Good or bad.
-            branch_name = branches[0]
-
-    pieces["branch"] = branch_name
-
-    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
-    # TAG might have hyphens.
-    git_describe = describe_out
-
-    # look for -dirty suffix
-    dirty = git_describe.endswith("-dirty")
-    pieces["dirty"] = dirty
-    if dirty:
-        git_describe = git_describe[:git_describe.rindex("-dirty")]
-
-    # now we have TAG-NUM-gHEX or HEX
-
-    if "-" in git_describe:
-        # TAG-NUM-gHEX
-        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
-        if not mo:
-            # unparsable. Maybe git-describe is misbehaving?
-            pieces["error"] = ("unable to parse git-describe output: '%%s'"
-                               %% describe_out)
-            return pieces
-
-        # tag
-        full_tag = mo.group(1)
-        if not full_tag.startswith(tag_prefix):
-            if verbose:
-                fmt = "tag '%%s' doesn't start with prefix '%%s'"
-                print(fmt %% (full_tag, tag_prefix))
-            pieces["error"] = ("tag '%%s' doesn't start with prefix '%%s'"
-                               %% (full_tag, tag_prefix))
-            return pieces
-        pieces["closest-tag"] = full_tag[len(tag_prefix):]
-
-        # distance: number of commits since tag
-        pieces["distance"] = int(mo.group(2))
-
-        # commit: short hex revision ID
-        pieces["short"] = mo.group(3)
-
-    else:
-        # HEX: no tags
-        pieces["closest-tag"] = None
-        count_out, rc = runner(GITS, ["rev-list", "HEAD", "--count"], cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
-
-    # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = runner(GITS, ["show", "-s", "--format=%%ci", "HEAD"], cwd=root)[0].strip()
-    # Use only the last line.  Previous lines may contain GPG signature
-    # information.
-    date = date.splitlines()[-1]
-    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
-
-    return pieces
-
-
-def plus_or_dot(pieces):
-    """Return a + if we don't already have one, else return a ."""
-    if "+" in pieces.get("closest-tag", ""):
-        return "."
-    return "+"
-
-
-def render_pep440(pieces):
-    """Build up version string, with post-release "local version identifier".
-
-    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
-    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
-
-    Exceptions:
-    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            rendered += plus_or_dot(pieces)
-            rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"])
-            if pieces["dirty"]:
-                rendered += ".dirty"
-    else:
-        # exception #1
-        rendered = "0+untagged.%%d.g%%s" %% (pieces["distance"],
-                                          pieces["short"])
-        if pieces["dirty"]:
-            rendered += ".dirty"
-    return rendered
-
-
-def render_pep440_branch(pieces):
-    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
-
-    The ".dev0" means not master branch. Note that .dev0 sorts backwards
-    (a feature branch will appear "older" than the master branch).
-
-    Exceptions:
-    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            if pieces["branch"] != "master":
-                rendered += ".dev0"
-            rendered += plus_or_dot(pieces)
-            rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"])
-            if pieces["dirty"]:
-                rendered += ".dirty"
-    else:
-        # exception #1
-        rendered = "0"
-        if pieces["branch"] != "master":
-            rendered += ".dev0"
-        rendered += "+untagged.%%d.g%%s" %% (pieces["distance"],
-                                          pieces["short"])
-        if pieces["dirty"]:
-            rendered += ".dirty"
-    return rendered
-
-
-def pep440_split_post(ver):
-    """Split pep440 version string at the post-release segment.
-
-    Returns the release segments before the post-release and the
-    post-release version number (or -1 if no post-release segment is present).
-    """
-    vc = str.split(ver, ".post")
-    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
-
-
-def render_pep440_pre(pieces):
-    """TAG[.postN.devDISTANCE] -- No -dirty.
-
-    Exceptions:
-    1: no tags. 0.post0.devDISTANCE
-    """
-    if pieces["closest-tag"]:
-        if pieces["distance"]:
-            # update the post release segment
-            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
-            rendered = tag_version
-            if post_version is not None:
-                rendered += ".post%%d.dev%%d" %% (post_version+1, pieces["distance"])
-            else:
-                rendered += ".post0.dev%%d" %% (pieces["distance"])
-        else:
-            # no commits, use the tag as the version
-            rendered = pieces["closest-tag"]
-    else:
-        # exception #1
-        rendered = "0.post0.dev%%d" %% pieces["distance"]
-    return rendered
-
-
-def render_pep440_post(pieces):
-    """TAG[.postDISTANCE[.dev0]+gHEX] .
-
-    The ".dev0" means dirty. Note that .dev0 sorts backwards
-    (a dirty tree will appear "older" than the corresponding clean one),
-    but you shouldn't be releasing software with -dirty anyways.
-
-    Exceptions:
-    1: no tags. 0.postDISTANCE[.dev0]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            rendered += ".post%%d" %% pieces["distance"]
-            if pieces["dirty"]:
-                rendered += ".dev0"
-            rendered += plus_or_dot(pieces)
-            rendered += "g%%s" %% pieces["short"]
-    else:
-        # exception #1
-        rendered = "0.post%%d" %% pieces["distance"]
-        if pieces["dirty"]:
-            rendered += ".dev0"
-        rendered += "+g%%s" %% pieces["short"]
-    return rendered
-
-
-def render_pep440_post_branch(pieces):
-    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
-
-    The ".dev0" means not master branch.
-
-    Exceptions:
-    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            rendered += ".post%%d" %% pieces["distance"]
-            if pieces["branch"] != "master":
-                rendered += ".dev0"
-            rendered += plus_or_dot(pieces)
-            rendered += "g%%s" %% pieces["short"]
-            if pieces["dirty"]:
-                rendered += ".dirty"
-    else:
-        # exception #1
-        rendered = "0.post%%d" %% pieces["distance"]
-        if pieces["branch"] != "master":
-            rendered += ".dev0"
-        rendered += "+g%%s" %% pieces["short"]
-        if pieces["dirty"]:
-            rendered += ".dirty"
-    return rendered
-
-
-def render_pep440_old(pieces):
-    """TAG[.postDISTANCE[.dev0]] .
-
-    The ".dev0" means dirty.
-
-    Exceptions:
-    1: no tags. 0.postDISTANCE[.dev0]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            rendered += ".post%%d" %% pieces["distance"]
-            if pieces["dirty"]:
-                rendered += ".dev0"
-    else:
-        # exception #1
-        rendered = "0.post%%d" %% pieces["distance"]
-        if pieces["dirty"]:
-            rendered += ".dev0"
-    return rendered
-
-
-def render_git_describe(pieces):
-    """TAG[-DISTANCE-gHEX][-dirty].
-
-    Like 'git describe --tags --dirty --always'.
-
-    Exceptions:
-    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"]:
-            rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"])
-    else:
-        # exception #1
-        rendered = pieces["short"]
-    if pieces["dirty"]:
-        rendered += "-dirty"
-    return rendered
-
-
-def render_git_describe_long(pieces):
-    """TAG-DISTANCE-gHEX[-dirty].
-
-    Like 'git describe --tags --dirty --always -long'.
-    The distance/hash is unconditional.
-
-    Exceptions:
-    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"])
-    else:
-        # exception #1
-        rendered = pieces["short"]
-    if pieces["dirty"]:
-        rendered += "-dirty"
-    return rendered
-
-
-def render(pieces, style):
-    """Render the given version pieces into the requested style."""
-    if pieces["error"]:
-        return {"version": "unknown",
-                "full-revisionid": pieces.get("long"),
-                "dirty": None,
-                "error": pieces["error"],
-                "date": None}
-
-    if not style or style == "default":
-        style = "pep440"  # the default
-
-    if style == "pep440":
-        rendered = render_pep440(pieces)
-    elif style == "pep440-branch":
-        rendered = render_pep440_branch(pieces)
-    elif style == "pep440-pre":
-        rendered = render_pep440_pre(pieces)
-    elif style == "pep440-post":
-        rendered = render_pep440_post(pieces)
-    elif style == "pep440-post-branch":
-        rendered = render_pep440_post_branch(pieces)
-    elif style == "pep440-old":
-        rendered = render_pep440_old(pieces)
-    elif style == "git-describe":
-        rendered = render_git_describe(pieces)
-    elif style == "git-describe-long":
-        rendered = render_git_describe_long(pieces)
-    else:
-        raise ValueError("unknown style '%%s'" %% style)
-
-    return {"version": rendered, "full-revisionid": pieces["long"],
-            "dirty": pieces["dirty"], "error": None,
-            "date": pieces.get("date")}
-
-
-def get_versions():
-    """Get version information or return default if unable to do so."""
-    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
-    # __file__, we can work backwards from there to the root. Some
-    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
-    # case we can only use expanded keywords.
-
-    cfg = get_config()
-    verbose = cfg.verbose
-
-    try:
-        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
-                                          verbose)
-    except NotThisMethod:
-        pass
-
-    try:
-        root = os.path.realpath(__file__)
-        # versionfile_source is the relative path from the top of the source
-        # tree (where the .git directory might live) to this file. Invert
-        # this to find the root from __file__.
-        for _ in cfg.versionfile_source.split('/'):
-            root = os.path.dirname(root)
-    except NameError:
-        return {"version": "0+unknown", "full-revisionid": None,
-                "dirty": None,
-                "error": "unable to find root of source tree",
-                "date": None}
-
-    try:
-        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
-        return render(pieces, cfg.style)
-    except NotThisMethod:
-        pass
-
-    try:
-        if cfg.parentdir_prefix:
-            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
-    except NotThisMethod:
-        pass
-
-    return {"version": "0+unknown", "full-revisionid": None,
-            "dirty": None,
-            "error": "unable to compute version", "date": None}
-'''
-
-
-@register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
-    """Extract version information from the given file."""
-    # the code embedded in _version.py can just fetch the value of these
-    # keywords. When used from setup.py, we don't want to import _version.py,
-    # so we do it with a regexp instead. This function is not used from
-    # _version.py.
-    keywords = {}
-    try:
-        with open(versionfile_abs, "r") as fobj:
-            for line in fobj:
-                if line.strip().startswith("git_refnames ="):
-                    mo = re.search(r'=\s*"(.*)"', line)
-                    if mo:
-                        keywords["refnames"] = mo.group(1)
-                if line.strip().startswith("git_full ="):
-                    mo = re.search(r'=\s*"(.*)"', line)
-                    if mo:
-                        keywords["full"] = mo.group(1)
-                if line.strip().startswith("git_date ="):
-                    mo = re.search(r'=\s*"(.*)"', line)
-                    if mo:
-                        keywords["date"] = mo.group(1)
-    except OSError:
-        pass
-    return keywords
-
-
-@register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
-    """Get version information from git keywords."""
-    if "refnames" not in keywords:
-        raise NotThisMethod("Short version file found")
-    date = keywords.get("date")
-    if date is not None:
-        # Use only the last line.  Previous lines may contain GPG signature
-        # information.
-        date = date.splitlines()[-1]
-
-        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
-        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
-        # -like" string, which we must then edit to make compliant), because
-        # it's been around since git-1.5.3, and it's too difficult to
-        # discover which version we're using, or to work around using an
-        # older one.
-        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
-    refnames = keywords["refnames"].strip()
-    if refnames.startswith("$Format"):
-        if verbose:
-            print("keywords are unexpanded, not using")
-        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = {r.strip() for r in refnames.strip("()").split(",")}
-    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
-    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
-    TAG = "tag: "
-    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
-    if not tags:
-        # Either we're using git < 1.8.3, or there really are no tags. We use
-        # a heuristic: assume all version tags have a digit. The old git %d
-        # expansion behaves like git log --decorate=short and strips out the
-        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
-        # between branches and tags. By ignoring refnames without digits, we
-        # filter out many common branch names like "release" and
-        # "stabilization", as well as "HEAD" and "master".
-        tags = {r for r in refs if re.search(r'\d', r)}
-        if verbose:
-            print("discarding '%s', no digits" % ",".join(refs - tags))
-    if verbose:
-        print("likely tags: %s" % ",".join(sorted(tags)))
-    for ref in sorted(tags):
-        # sorting will prefer e.g. "2.0" over "2.0rc1"
-        if ref.startswith(tag_prefix):
-            r = ref[len(tag_prefix):]
-            # Filter out refs that exactly match prefix or that don't start
-            # with a number once the prefix is stripped (mostly a concern
-            # when prefix is '')
-            if not re.match(r'\d', r):
-                continue
-            if verbose:
-                print("picking %s" % r)
-            return {"version": r,
-                    "full-revisionid": keywords["full"].strip(),
-                    "dirty": False, "error": None,
-                    "date": date}
-    # no suitable tags, so version is "0+unknown", but full hex is still there
-    if verbose:
-        print("no suitable tags, using unknown + full revision id")
-    return {"version": "0+unknown",
-            "full-revisionid": keywords["full"].strip(),
-            "dirty": False, "error": "no suitable tags", "date": None}
-
-
-@register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, runner=run_command):
-    """Get version from 'git describe' in the root of the source tree.
-
-    This only gets called if the git-archive 'subst' keywords were *not*
-    expanded, and _version.py hasn't already been rewritten with a short
-    version string, meaning we're inside a checked out source tree.
-    """
-    GITS = ["git"]
-    if sys.platform == "win32":
-        GITS = ["git.cmd", "git.exe"]
-
-    # GIT_DIR can interfere with correct operation of Versioneer.
-    # It may be intended to be passed to the Versioneer-versioned project,
-    # but that should not change where we get our version from.
-    env = os.environ.copy()
-    env.pop("GIT_DIR", None)
-    runner = functools.partial(runner, env=env)
-
-    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                   hide_stderr=True)
-    if rc != 0:
-        if verbose:
-            print("Directory %s not under git control" % root)
-        raise NotThisMethod("'git rev-parse --git-dir' returned error")
-
-    MATCH_ARGS = ["--match", "%s*" % tag_prefix] if tag_prefix else []
-
-    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
-    # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = runner(GITS, ["describe", "--tags", "--dirty",
-                                     "--always", "--long", *MATCH_ARGS],
-                              cwd=root)
-    # --long was added in git-1.5.5
-    if describe_out is None:
-        raise NotThisMethod("'git describe' failed")
-    describe_out = describe_out.strip()
-    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
-    if full_out is None:
-        raise NotThisMethod("'git rev-parse' failed")
-    full_out = full_out.strip()
-
-    pieces = {}
-    pieces["long"] = full_out
-    pieces["short"] = full_out[:7]  # maybe improved later
-    pieces["error"] = None
-
-    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
-                             cwd=root)
-    # --abbrev-ref was added in git-1.6.3
-    if rc != 0 or branch_name is None:
-        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
-    branch_name = branch_name.strip()
-
-    if branch_name == "HEAD":
-        # If we aren't exactly on a branch, pick a branch which represents
-        # the current commit. If all else fails, we are on a branchless
-        # commit.
-        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
-        # --contains was added in git-1.5.4
-        if rc != 0 or branches is None:
-            raise NotThisMethod("'git branch --contains' returned error")
-        branches = branches.split("\n")
-
-        # Remove the first line if we're running detached
-        if "(" in branches[0]:
-            branches.pop(0)
-
-        # Strip off the leading "* " from the list of branches.
-        branches = [branch[2:] for branch in branches]
-        if "master" in branches:
-            branch_name = "master"
-        elif not branches:
-            branch_name = None
-        else:
-            # Pick the first branch that is returned. Good or bad.
-            branch_name = branches[0]
-
-    pieces["branch"] = branch_name
-
-    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
-    # TAG might have hyphens.
-    git_describe = describe_out
-
-    # look for -dirty suffix
-    dirty = git_describe.endswith("-dirty")
-    pieces["dirty"] = dirty
-    if dirty:
-        git_describe = git_describe[:git_describe.rindex("-dirty")]
-
-    # now we have TAG-NUM-gHEX or HEX
-
-    if "-" in git_describe:
-        # TAG-NUM-gHEX
-        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
-        if not mo:
-            # unparsable. Maybe git-describe is misbehaving?
-            pieces["error"] = ("unable to parse git-describe output: '%s'"
-                               % describe_out)
-            return pieces
-
-        # tag
-        full_tag = mo.group(1)
-        if not full_tag.startswith(tag_prefix):
-            if verbose:
-                fmt = "tag '%s' doesn't start with prefix '%s'"
-                print(fmt % (full_tag, tag_prefix))
-            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
-                               % (full_tag, tag_prefix))
-            return pieces
-        pieces["closest-tag"] = full_tag[len(tag_prefix):]
-
-        # distance: number of commits since tag
-        pieces["distance"] = int(mo.group(2))
-
-        # commit: short hex revision ID
-        pieces["short"] = mo.group(3)
-
-    else:
-        # HEX: no tags
-        pieces["closest-tag"] = None
-        count_out, rc = runner(GITS, ["rev-list", "HEAD", "--count"], cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
-
-    # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
-    # Use only the last line.  Previous lines may contain GPG signature
-    # information.
-    date = date.splitlines()[-1]
-    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
-
-    return pieces
-
-
-def do_vcs_install(manifest_in, versionfile_source, ipy):
-    """Git-specific installation logic for Versioneer.
-
-    For Git, this means creating/changing .gitattributes to mark _version.py
-    for export-subst keyword substitution.
-    """
-    GITS = ["git"]
-    if sys.platform == "win32":
-        GITS = ["git.cmd", "git.exe"]
-    files = [manifest_in, versionfile_source]
-    if ipy:
-        files.append(ipy)
-    try:
-        my_path = __file__
-        if my_path.endswith(".pyc") or my_path.endswith(".pyo"):
-            my_path = os.path.splitext(my_path)[0] + ".py"
-        versioneer_file = os.path.relpath(my_path)
-    except NameError:
-        versioneer_file = "versioneer.py"
-    files.append(versioneer_file)
-    present = False
-    try:
-        with open(".gitattributes", "r") as fobj:
-            for line in fobj:
-                if line.strip().startswith(versionfile_source):
-                    if "export-subst" in line.strip().split()[1:]:
-                        present = True
-                        break
-    except OSError:
-        pass
-    if not present:
-        with open(".gitattributes", "a+") as fobj:
-            fobj.write(f"{versionfile_source} export-subst\n")
-        files.append(".gitattributes")
-    run_command(GITS, ["add", "--"] + files)
-
-
-def versions_from_parentdir(parentdir_prefix, root, verbose):
-    """Try to determine the version from the parent directory name.
-
-    Source tarballs conventionally unpack into a directory that includes both
-    the project name and a version string. We will also support searching up
-    two directory levels for an appropriately named parent directory
-    """
-    rootdirs = []
-
-    for _ in range(3):
-        dirname = os.path.basename(root)
-        if dirname.startswith(parentdir_prefix):
-            return {"version": dirname[len(parentdir_prefix):],
-                    "full-revisionid": None,
-                    "dirty": False, "error": None, "date": None}
-        rootdirs.append(root)
-        root = os.path.dirname(root)  # up a level
-
-    if verbose:
-        print("Tried directories %s but none started with prefix %s" %
-              (str(rootdirs), parentdir_prefix))
-    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
-
-
-SHORT_VERSION_PY = """
-# This file was generated by 'versioneer.py' (0.22) from
-# revision-control system data, or from the parent directory name of an
-# unpacked source archive. Distribution tarballs contain a pre-generated copy
-# of this file.
-
-import json
-
-version_json = '''
-%s
-'''  # END VERSION_JSON
-
-
-def get_versions():
-    return json.loads(version_json)
-"""
-
-
-def versions_from_file(filename):
-    """Try to determine the version from _version.py if present."""
-    try:
-        with open(filename) as f:
-            contents = f.read()
-    except OSError:
-        raise NotThisMethod("unable to read _version.py")
-    mo = re.search(r"version_json = '''\n(.*)'''  # END VERSION_JSON",
-                   contents, re.M | re.S)
-    if not mo:
-        mo = re.search(r"version_json = '''\r\n(.*)'''  # END VERSION_JSON",
-                       contents, re.M | re.S)
-    if not mo:
-        raise NotThisMethod("no version_json in _version.py")
-    return json.loads(mo.group(1))
-
-
-def write_to_version_file(filename, versions):
-    """Write the given version number to the given _version.py file."""
-    os.unlink(filename)
-    contents = json.dumps(versions, sort_keys=True,
-                          indent=1, separators=(",", ": "))
-    with open(filename, "w") as f:
-        f.write(SHORT_VERSION_PY % contents)
-
-    print("set %s to '%s'" % (filename, versions["version"]))
-
-
-def plus_or_dot(pieces):
-    """Return a + if we don't already have one, else return a ."""
-    if "+" in pieces.get("closest-tag", ""):
-        return "."
-    return "+"
-
-
-def render_pep440(pieces):
-    """Build up version string, with post-release "local version identifier".
-
-    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
-    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
-
-    Exceptions:
-    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            rendered += plus_or_dot(pieces)
-            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
-            if pieces["dirty"]:
-                rendered += ".dirty"
-    else:
-        # exception #1
-        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
-                                          pieces["short"])
-        if pieces["dirty"]:
-            rendered += ".dirty"
-    return rendered
-
-
-def render_pep440_branch(pieces):
-    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
-
-    The ".dev0" means not master branch. Note that .dev0 sorts backwards
-    (a feature branch will appear "older" than the master branch).
-
-    Exceptions:
-    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            if pieces["branch"] != "master":
-                rendered += ".dev0"
-            rendered += plus_or_dot(pieces)
-            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
-            if pieces["dirty"]:
-                rendered += ".dirty"
-    else:
-        # exception #1
-        rendered = "0"
-        if pieces["branch"] != "master":
-            rendered += ".dev0"
-        rendered += "+untagged.%d.g%s" % (pieces["distance"],
-                                          pieces["short"])
-        if pieces["dirty"]:
-            rendered += ".dirty"
-    return rendered
-
-
-def pep440_split_post(ver):
-    """Split pep440 version string at the post-release segment.
-
-    Returns the release segments before the post-release and the
-    post-release version number (or -1 if no post-release segment is present).
-    """
-    vc = str.split(ver, ".post")
-    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
-
-
-def render_pep440_pre(pieces):
-    """TAG[.postN.devDISTANCE] -- No -dirty.
-
-    Exceptions:
-    1: no tags. 0.post0.devDISTANCE
-    """
-    if pieces["closest-tag"]:
-        if pieces["distance"]:
-            # update the post release segment
-            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
-            rendered = tag_version
-            if post_version is not None:
-                rendered += ".post%d.dev%d" % (post_version+1, pieces["distance"])
-            else:
-                rendered += ".post0.dev%d" % (pieces["distance"])
-        else:
-            # no commits, use the tag as the version
-            rendered = pieces["closest-tag"]
-    else:
-        # exception #1
-        rendered = "0.post0.dev%d" % pieces["distance"]
-    return rendered
-
-
-def render_pep440_post(pieces):
-    """TAG[.postDISTANCE[.dev0]+gHEX] .
-
-    The ".dev0" means dirty. Note that .dev0 sorts backwards
-    (a dirty tree will appear "older" than the corresponding clean one),
-    but you shouldn't be releasing software with -dirty anyways.
-
-    Exceptions:
-    1: no tags. 0.postDISTANCE[.dev0]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            rendered += ".post%d" % pieces["distance"]
-            if pieces["dirty"]:
-                rendered += ".dev0"
-            rendered += plus_or_dot(pieces)
-            rendered += "g%s" % pieces["short"]
-    else:
-        # exception #1
-        rendered = "0.post%d" % pieces["distance"]
-        if pieces["dirty"]:
-            rendered += ".dev0"
-        rendered += "+g%s" % pieces["short"]
-    return rendered
-
-
-def render_pep440_post_branch(pieces):
-    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
-
-    The ".dev0" means not master branch.
-
-    Exceptions:
-    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            rendered += ".post%d" % pieces["distance"]
-            if pieces["branch"] != "master":
-                rendered += ".dev0"
-            rendered += plus_or_dot(pieces)
-            rendered += "g%s" % pieces["short"]
-            if pieces["dirty"]:
-                rendered += ".dirty"
-    else:
-        # exception #1
-        rendered = "0.post%d" % pieces["distance"]
-        if pieces["branch"] != "master":
-            rendered += ".dev0"
-        rendered += "+g%s" % pieces["short"]
-        if pieces["dirty"]:
-            rendered += ".dirty"
-    return rendered
-
-
-def render_pep440_old(pieces):
-    """TAG[.postDISTANCE[.dev0]] .
-
-    The ".dev0" means dirty.
-
-    Exceptions:
-    1: no tags. 0.postDISTANCE[.dev0]
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"] or pieces["dirty"]:
-            rendered += ".post%d" % pieces["distance"]
-            if pieces["dirty"]:
-                rendered += ".dev0"
-    else:
-        # exception #1
-        rendered = "0.post%d" % pieces["distance"]
-        if pieces["dirty"]:
-            rendered += ".dev0"
-    return rendered
-
-
-def render_git_describe(pieces):
-    """TAG[-DISTANCE-gHEX][-dirty].
-
-    Like 'git describe --tags --dirty --always'.
-
-    Exceptions:
-    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        if pieces["distance"]:
-            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
-    else:
-        # exception #1
-        rendered = pieces["short"]
-    if pieces["dirty"]:
-        rendered += "-dirty"
-    return rendered
-
-
-def render_git_describe_long(pieces):
-    """TAG-DISTANCE-gHEX[-dirty].
-
-    Like 'git describe --tags --dirty --always -long'.
-    The distance/hash is unconditional.
-
-    Exceptions:
-    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
-    """
-    if pieces["closest-tag"]:
-        rendered = pieces["closest-tag"]
-        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
-    else:
-        # exception #1
-        rendered = pieces["short"]
-    if pieces["dirty"]:
-        rendered += "-dirty"
-    return rendered
-
-
-def render(pieces, style):
-    """Render the given version pieces into the requested style."""
-    if pieces["error"]:
-        return {"version": "unknown",
-                "full-revisionid": pieces.get("long"),
-                "dirty": None,
-                "error": pieces["error"],
-                "date": None}
-
-    if not style or style == "default":
-        style = "pep440"  # the default
-
-    if style == "pep440":
-        rendered = render_pep440(pieces)
-    elif style == "pep440-branch":
-        rendered = render_pep440_branch(pieces)
-    elif style == "pep440-pre":
-        rendered = render_pep440_pre(pieces)
-    elif style == "pep440-post":
-        rendered = render_pep440_post(pieces)
-    elif style == "pep440-post-branch":
-        rendered = render_pep440_post_branch(pieces)
-    elif style == "pep440-old":
-        rendered = render_pep440_old(pieces)
-    elif style == "git-describe":
-        rendered = render_git_describe(pieces)
-    elif style == "git-describe-long":
-        rendered = render_git_describe_long(pieces)
-    else:
-        raise ValueError("unknown style '%s'" % style)
-
-    return {"version": rendered, "full-revisionid": pieces["long"],
-            "dirty": pieces["dirty"], "error": None,
-            "date": pieces.get("date")}
-
-
-class VersioneerBadRootError(Exception):
-    """The project root directory is unknown or missing key files."""
-
-
-def get_versions(verbose=False):
-    """Get the project version from whatever source is available.
-
-    Returns dict with two keys: 'version' and 'full'.
-    """
-    if "versioneer" in sys.modules:
-        # see the discussion in cmdclass.py:get_cmdclass()
-        del sys.modules["versioneer"]
-
-    root = get_root()
-    cfg = get_config_from_root(root)
-
-    assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg"
-    handlers = HANDLERS.get(cfg.VCS)
-    assert handlers, "unrecognized VCS '%s'" % cfg.VCS
-    verbose = verbose or cfg.verbose
-    assert cfg.versionfile_source is not None, \
-        "please set versioneer.versionfile_source"
-    assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix"
-
-    versionfile_abs = os.path.join(root, cfg.versionfile_source)
-
-    # extract version from first of: _version.py, VCS command (e.g. 'git
-    # describe'), parentdir. This is meant to work for developers using a
-    # source checkout, for users of a tarball created by 'setup.py sdist',
-    # and for users of a tarball/zipball created by 'git archive' or github's
-    # download-from-tag feature or the equivalent in other VCSes.
-
-    get_keywords_f = handlers.get("get_keywords")
-    from_keywords_f = handlers.get("keywords")
-    if get_keywords_f and from_keywords_f:
-        try:
-            keywords = get_keywords_f(versionfile_abs)
-            ver = from_keywords_f(keywords, cfg.tag_prefix, verbose)
-            if verbose:
-                print("got version from expanded keyword %s" % ver)
-            return ver
-        except NotThisMethod:
-            pass
-
-    try:
-        ver = versions_from_file(versionfile_abs)
-        if verbose:
-            print("got version from file %s %s" % (versionfile_abs, ver))
-        return ver
-    except NotThisMethod:
-        pass
-
-    from_vcs_f = handlers.get("pieces_from_vcs")
-    if from_vcs_f:
-        try:
-            pieces = from_vcs_f(cfg.tag_prefix, root, verbose)
-            ver = render(pieces, cfg.style)
-            if verbose:
-                print("got version from VCS %s" % ver)
-            return ver
-        except NotThisMethod:
-            pass
-
-    try:
-        if cfg.parentdir_prefix:
-            ver = versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
-            if verbose:
-                print("got version from parentdir %s" % ver)
-            return ver
-    except NotThisMethod:
-        pass
-
-    if verbose:
-        print("unable to compute version")
-
-    return {"version": "0+unknown", "full-revisionid": None,
-            "dirty": None, "error": "unable to compute version",
-            "date": None}
-
-
-def get_version():
-    """Get the short version string for this project."""
-    return get_versions()["version"]
-
-
-def get_cmdclass(cmdclass=None):
-    """Get the custom setuptools/distutils subclasses used by Versioneer.
-
-    If the package uses a different cmdclass (e.g. one from numpy), it
-    should be provide as an argument.
-    """
-    if "versioneer" in sys.modules:
-        del sys.modules["versioneer"]
-        # this fixes the "python setup.py develop" case (also 'install' and
-        # 'easy_install .'), in which subdependencies of the main project are
-        # built (using setup.py bdist_egg) in the same python process. Assume
-        # a main project A and a dependency B, which use different versions
-        # of Versioneer. A's setup.py imports A's Versioneer, leaving it in
-        # sys.modules by the time B's setup.py is executed, causing B to run
-        # with the wrong versioneer. Setuptools wraps the sub-dep builds in a
-        # sandbox that restores sys.modules to it's pre-build state, so the
-        # parent is protected against the child's "import versioneer". By
-        # removing ourselves from sys.modules here, before the child build
-        # happens, we protect the child from the parent's versioneer too.
-        # Also see https://github.com/python-versioneer/python-versioneer/issues/52
-
-    cmds = {} if cmdclass is None else cmdclass.copy()
-
-    # we add "version" to both distutils and setuptools
-    try:
-        from setuptools import Command
-    except ImportError:
-        from distutils.core import Command
-
-    class cmd_version(Command):
-        description = "report generated version string"
-        user_options = []
-        boolean_options = []
-
-        def initialize_options(self):
-            pass
-
-        def finalize_options(self):
-            pass
-
-        def run(self):
-            vers = get_versions(verbose=True)
-            print("Version: %s" % vers["version"])
-            print(" full-revisionid: %s" % vers.get("full-revisionid"))
-            print(" dirty: %s" % vers.get("dirty"))
-            print(" date: %s" % vers.get("date"))
-            if vers["error"]:
-                print(" error: %s" % vers["error"])
-    cmds["version"] = cmd_version
-
-    # we override "build_py" in both distutils and setuptools
-    #
-    # most invocation pathways end up running build_py:
-    #  distutils/build -> build_py
-    #  distutils/install -> distutils/build ->..
-    #  setuptools/bdist_wheel -> distutils/install ->..
-    #  setuptools/bdist_egg -> distutils/install_lib -> build_py
-    #  setuptools/install -> bdist_egg ->..
-    #  setuptools/develop -> ?
-    #  pip install:
-    #   copies source tree to a tempdir before running egg_info/etc
-    #   if .git isn't copied too, 'git describe' will fail
-    #   then does setup.py bdist_wheel, or sometimes setup.py install
-    #  setup.py egg_info -> ?
-
-    # we override different "build_py" commands for both environments
-    if 'build_py' in cmds:
-        _build_py = cmds['build_py']
-    elif "setuptools" in sys.modules:
-        from setuptools.command.build_py import build_py as _build_py
-    else:
-        from distutils.command.build_py import build_py as _build_py
-
-    class cmd_build_py(_build_py):
-        def run(self):
-            root = get_root()
-            cfg = get_config_from_root(root)
-            versions = get_versions()
-            _build_py.run(self)
-            # now locate _version.py in the new build/ directory and replace
-            # it with an updated value
-            if cfg.versionfile_build:
-                target_versionfile = os.path.join(self.build_lib,
-                                                  cfg.versionfile_build)
-                print("UPDATING %s" % target_versionfile)
-                write_to_version_file(target_versionfile, versions)
-    cmds["build_py"] = cmd_build_py
-
-    if 'build_ext' in cmds:
-        _build_ext = cmds['build_ext']
-    elif "setuptools" in sys.modules:
-        from setuptools.command.build_ext import build_ext as _build_ext
-    else:
-        from distutils.command.build_ext import build_ext as _build_ext
-
-    class cmd_build_ext(_build_ext):
-        def run(self):
-            root = get_root()
-            cfg = get_config_from_root(root)
-            versions = get_versions()
-            _build_ext.run(self)
-            if self.inplace:
-                # build_ext --inplace will only build extensions in
-                # build/lib<..> dir with no _version.py to write to.
-                # As in place builds will already have a _version.py
-                # in the module dir, we do not need to write one.
-                return
-            # now locate _version.py in the new build/ directory and replace
-            # it with an updated value
-            target_versionfile = os.path.join(self.build_lib,
-                                              cfg.versionfile_build)
-            print("UPDATING %s" % target_versionfile)
-            write_to_version_file(target_versionfile, versions)
-    cmds["build_ext"] = cmd_build_ext
-
-    if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
-        from cx_Freeze.dist import build_exe as _build_exe
-        # nczeczulin reports that py2exe won't like the pep440-style string
-        # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
-        # setup(console=[{
-        #   "version": versioneer.get_version().split("+", 1)[0], # FILEVERSION
-        #   "product_version": versioneer.get_version(),
-        #   ...
-
-        class cmd_build_exe(_build_exe):
-            def run(self):
-                root = get_root()
-                cfg = get_config_from_root(root)
-                versions = get_versions()
-                target_versionfile = cfg.versionfile_source
-                print("UPDATING %s" % target_versionfile)
-                write_to_version_file(target_versionfile, versions)
-
-                _build_exe.run(self)
-                os.unlink(target_versionfile)
-                with open(cfg.versionfile_source, "w") as f:
-                    LONG = LONG_VERSION_PY[cfg.VCS]
-                    f.write(LONG %
-                            {"DOLLAR": "$",
-                             "STYLE": cfg.style,
-                             "TAG_PREFIX": cfg.tag_prefix,
-                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
-                             })
-        cmds["build_exe"] = cmd_build_exe
-        del cmds["build_py"]
-
-    if 'py2exe' in sys.modules:  # py2exe enabled?
-        from py2exe.distutils_buildexe import py2exe as _py2exe
-
-        class cmd_py2exe(_py2exe):
-            def run(self):
-                root = get_root()
-                cfg = get_config_from_root(root)
-                versions = get_versions()
-                target_versionfile = cfg.versionfile_source
-                print("UPDATING %s" % target_versionfile)
-                write_to_version_file(target_versionfile, versions)
-
-                _py2exe.run(self)
-                os.unlink(target_versionfile)
-                with open(cfg.versionfile_source, "w") as f:
-                    LONG = LONG_VERSION_PY[cfg.VCS]
-                    f.write(LONG %
-                            {"DOLLAR": "$",
-                             "STYLE": cfg.style,
-                             "TAG_PREFIX": cfg.tag_prefix,
-                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
-                             })
-        cmds["py2exe"] = cmd_py2exe
-
-    # we override different "sdist" commands for both environments
-    if 'sdist' in cmds:
-        _sdist = cmds['sdist']
-    elif "setuptools" in sys.modules:
-        from setuptools.command.sdist import sdist as _sdist
-    else:
-        from distutils.command.sdist import sdist as _sdist
-
-    class cmd_sdist(_sdist):
-        def run(self):
-            versions = get_versions()
-            self._versioneer_generated_versions = versions
-            # unless we update this, the command will keep using the old
-            # version
-            self.distribution.metadata.version = versions["version"]
-            return _sdist.run(self)
-
-        def make_release_tree(self, base_dir, files):
-            root = get_root()
-            cfg = get_config_from_root(root)
-            _sdist.make_release_tree(self, base_dir, files)
-            # now locate _version.py in the new base_dir directory
-            # (remembering that it may be a hardlink) and replace it with an
-            # updated value
-            target_versionfile = os.path.join(base_dir, cfg.versionfile_source)
-            print("UPDATING %s" % target_versionfile)
-            write_to_version_file(target_versionfile,
-                                  self._versioneer_generated_versions)
-    cmds["sdist"] = cmd_sdist
-
-    return cmds
-
-
-CONFIG_ERROR = """
-setup.cfg is missing the necessary Versioneer configuration. You need
-a section like:
-
- [versioneer]
- VCS = git
- style = pep440
- versionfile_source = src/myproject/_version.py
- versionfile_build = myproject/_version.py
- tag_prefix =
- parentdir_prefix = myproject-
-
-You will also need to edit your setup.py to use the results:
-
- import versioneer
- setup(version=versioneer.get_version(),
-       cmdclass=versioneer.get_cmdclass(), ...)
-
-Please read the docstring in ./versioneer.py for configuration instructions,
-edit setup.cfg, and re-run the installer or 'python versioneer.py setup'.
-"""
-
-SAMPLE_CONFIG = """
-# See the docstring in versioneer.py for instructions. Note that you must
-# re-run 'versioneer.py setup' after changing this section, and commit the
-# resulting files.
-
-[versioneer]
-#VCS = git
-#style = pep440
-#versionfile_source =
-#versionfile_build =
-#tag_prefix =
-#parentdir_prefix =
-
-"""
-
-OLD_SNIPPET = """
-from ._version import get_versions
-__version__ = get_versions()['version']
-del get_versions
-"""
-
-INIT_PY_SNIPPET = """
-from . import {0}
-__version__ = {0}.get_versions()['version']
-"""
-
-
-def do_setup():
-    """Do main VCS-independent setup function for installing Versioneer."""
-    root = get_root()
-    try:
-        cfg = get_config_from_root(root)
-    except (OSError, configparser.NoSectionError,
-            configparser.NoOptionError) as e:
-        if isinstance(e, (OSError, configparser.NoSectionError)):
-            print("Adding sample versioneer config to setup.cfg",
-                  file=sys.stderr)
-            with open(os.path.join(root, "setup.cfg"), "a") as f:
-                f.write(SAMPLE_CONFIG)
-        print(CONFIG_ERROR, file=sys.stderr)
-        return 1
-
-    print(" creating %s" % cfg.versionfile_source)
-    with open(cfg.versionfile_source, "w") as f:
-        LONG = LONG_VERSION_PY[cfg.VCS]
-        f.write(LONG % {"DOLLAR": "$",
-                        "STYLE": cfg.style,
-                        "TAG_PREFIX": cfg.tag_prefix,
-                        "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                        "VERSIONFILE_SOURCE": cfg.versionfile_source,
-                        })
-
-    ipy = os.path.join(os.path.dirname(cfg.versionfile_source),
-                       "__init__.py")
-    if os.path.exists(ipy):
-        try:
-            with open(ipy, "r") as f:
-                old = f.read()
-        except OSError:
-            old = ""
-        module = os.path.splitext(os.path.basename(cfg.versionfile_source))[0]
-        snippet = INIT_PY_SNIPPET.format(module)
-        if OLD_SNIPPET in old:
-            print(" replacing boilerplate in %s" % ipy)
-            with open(ipy, "w") as f:
-                f.write(old.replace(OLD_SNIPPET, snippet))
-        elif snippet not in old:
-            print(" appending to %s" % ipy)
-            with open(ipy, "a") as f:
-                f.write(snippet)
-        else:
-            print(" %s unmodified" % ipy)
-    else:
-        print(" %s doesn't exist, ok" % ipy)
-        ipy = None
-
-    # Make sure both the top-level "versioneer.py" and versionfile_source
-    # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so
-    # they'll be copied into source distributions. Pip won't be able to
-    # install the package without this.
-    manifest_in = os.path.join(root, "MANIFEST.in")
-    simple_includes = set()
-    try:
-        with open(manifest_in, "r") as f:
-            for line in f:
-                if line.startswith("include "):
-                    for include in line.split()[1:]:
-                        simple_includes.add(include)
-    except OSError:
-        pass
-    # That doesn't cover everything MANIFEST.in can do
-    # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
-    # it might give some false negatives. Appending redundant 'include'
-    # lines is safe, though.
-    if "versioneer.py" not in simple_includes:
-        print(" appending 'versioneer.py' to MANIFEST.in")
-        with open(manifest_in, "a") as f:
-            f.write("include versioneer.py\n")
-    else:
-        print(" 'versioneer.py' already in MANIFEST.in")
-    if cfg.versionfile_source not in simple_includes:
-        print(" appending versionfile_source ('%s') to MANIFEST.in" %
-              cfg.versionfile_source)
-        with open(manifest_in, "a") as f:
-            f.write("include %s\n" % cfg.versionfile_source)
-    else:
-        print(" versionfile_source already in MANIFEST.in")
-
-    # Make VCS-specific changes. For git, this means creating/changing
-    # .gitattributes to mark _version.py for export-subst keyword
-    # substitution.
-    do_vcs_install(manifest_in, cfg.versionfile_source, ipy)
-    return 0
-
-
-def scan_setup_py():
-    """Validate the contents of setup.py against Versioneer's expectations."""
-    found = set()
-    setters = False
-    errors = 0
-    with open("setup.py", "r") as f:
-        for line in f.readlines():
-            if "import versioneer" in line:
-                found.add("import")
-            if "versioneer.get_cmdclass()" in line:
-                found.add("cmdclass")
-            if "versioneer.get_version()" in line:
-                found.add("get_version")
-            if "versioneer.VCS" in line:
-                setters = True
-            if "versioneer.versionfile_source" in line:
-                setters = True
-    if len(found) != 3:
-        print("")
-        print("Your setup.py appears to be missing some important items")
-        print("(but I might be wrong). Please make sure it has something")
-        print("roughly like the following:")
-        print("")
-        print(" import versioneer")
-        print(" setup( version=versioneer.get_version(),")
-        print("        cmdclass=versioneer.get_cmdclass(),  ...)")
-        print("")
-        errors += 1
-    if setters:
-        print("You should remove lines like 'versioneer.VCS = ' and")
-        print("'versioneer.versionfile_source = ' . This configuration")
-        print("now lives in setup.cfg, and should be removed from setup.py")
-        print("")
-        errors += 1
-    return errors
-
-
-if __name__ == "__main__":
-    cmd = sys.argv[1]
-    if cmd == "setup":
-        errors = do_setup()
-        errors += scan_setup_py()
-        if errors:
-            sys.exit(1)