From 247ae6009e3ece8d74bd5c7505b14ecf42b1a2dd Mon Sep 17 00:00:00 2001
From: fern-api <115122769+fern-api[bot]@users.noreply.github.com>
Date: Fri, 18 Oct 2024 14:06:44 +0000
Subject: [PATCH] SDK regeneration

---
 mypy.ini                                      |    2 -
 poetry.lock                                   | 2264 ++++++++++++++---
 pyproject.toml                                |    9 +-
 reference.md                                  |   63 +-
 src/cohere/core/client_wrapper.py             |    2 +-
 src/cohere/types/__init__.py                  |    8 +
 src/cohere/types/assistant_message.py         |    8 +-
 .../types/assistant_message_response.py       |    8 +-
 src/cohere/types/chat_finish_reason.py        |    3 +-
 src/cohere/types/chat_message_v2.py           |    2 +-
 .../types/chat_tool_calls_chunk_event.py      |    3 +-
 src/cohere/types/citation.py                  |   20 +-
 src/cohere/types/json_response_format_v2.py   |    2 +-
 src/cohere/types/response_format_v2.py        |   18 +-
 src/cohere/types/streamed_chat_response.py    |    1 +
 src/cohere/types/tool_call_v2.py              |    2 +-
 src/cohere/types/tool_message_v2.py           |    8 +-
 src/cohere/v2/client.py                       |  118 +-
 18 files changed, 2094 insertions(+), 447 deletions(-)
 delete mode 100644 mypy.ini

diff --git a/mypy.ini b/mypy.ini
deleted file mode 100644
index 1330b2c18..000000000
--- a/mypy.ini
+++ /dev/null
@@ -1,2 +0,0 @@
-[mypy]
-exclude = src/cohere/manually_maintained/cohere_aws
diff --git a/poetry.lock b/poetry.lock
index 47d0ddd20..98c1ebc43 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,25 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
+name = "alembic"
+version = "1.13.3"
+description = "A database migration tool for SQLAlchemy."
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "alembic-1.13.3-py3-none-any.whl", hash = "sha256:908e905976d15235fae59c9ac42c4c5b75cfcefe3d27c0fbf7ae15a37715d80e"},
+    {file = "alembic-1.13.3.tar.gz", hash = "sha256:203503117415561e203aa14541740643a611f641517f0209fcae63e9fa09f1a2"},
+]
+
+[package.dependencies]
+importlib-metadata = {version = "*", markers = "python_version < \"3.9\""}
+importlib-resources = {version = "*", markers = "python_version < \"3.9\""}
+Mako = "*"
+SQLAlchemy = ">=1.3.0"
+typing-extensions = ">=4"
+
+[package.extras]
+tz = ["backports.zoneinfo"]
 
 [[package]]
 name = "annotated-types"
@@ -16,13 +37,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "anyio"
-version = "4.5.0"
+version = "4.5.2"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.5.0-py3-none-any.whl", hash = "sha256:fdeb095b7cc5a5563175eedd926ec4ae55413bb4be5770c424af0ba46ccb4a78"},
-    {file = "anyio-4.5.0.tar.gz", hash = "sha256:c5a275fe5ca0afd788001f58fca1e69e29ce706d746e317d660e21f70c530ef9"},
+    {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"},
+    {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"},
 ]
 
 [package.dependencies]
@@ -33,14 +54,14 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "attrs"
 version = "23.2.0"
 description = "Classes Without Boilerplate"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
@@ -55,19 +76,30 @@ tests = ["attrs[tests-no-zope]", "zope-interface"]
 tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
 tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
+[[package]]
+name = "blinker"
+version = "1.8.2"
+description = "Fast, simple object-to-object and broadcast signaling"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"},
+    {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"},
+]
+
 [[package]]
 name = "boto3"
-version = "1.35.27"
+version = "1.35.43"
 description = "The AWS SDK for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.27-py3-none-any.whl", hash = "sha256:3da139ca038032e92086e26d23833b557f0c257520162bfd3d6f580bf8032c86"},
-    {file = "boto3-1.35.27.tar.gz", hash = "sha256:10d0fe15670b83a3f26572ab20d9152a064cee4c54b5ea9a1eeb1f0c3b807a7b"},
+    {file = "boto3-1.35.43-py3-none-any.whl", hash = "sha256:e6a50a0599f75b21de0de1a551a0564793d25b304fa623e4052e527b268de734"},
+    {file = "boto3-1.35.43.tar.gz", hash = "sha256:0197f460632804577aa78b2f6daf7b823bffa9d4d67a5cebb179efff0fe9631b"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.27,<1.36.0"
+botocore = ">=1.35.43,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -76,25 +108,36 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.27"
+version = "1.35.43"
 description = "Low-level, data-driven core of boto 3."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.27-py3-none-any.whl", hash = "sha256:c299c70b5330a8634e032883ce8a72c2c6d9fdbc985d8191199cb86b92e7cbbd"},
-    {file = "botocore-1.35.27.tar.gz", hash = "sha256:f68875c26cd57a9d22c0f7a981ecb1636d7ce4d0e35797e04765b53e7bfed3e7"},
+    {file = "botocore-1.35.43-py3-none-any.whl", hash = "sha256:7cfdee9117617da97daaf259dd8484bcdc259c59eb7d1ce7db9ecf8506b7d36c"},
+    {file = "botocore-1.35.43.tar.gz", hash = "sha256:04539b85ade060601a3023cacb538fc17aad8c059a5a2e18fe4bc5d0d91fbd72"},
 ]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 urllib3 = [
-    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
     {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
+    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
 ]
 
 [package.extras]
-crt = ["awscrt (==0.21.5)"]
+crt = ["awscrt (==0.22.0)"]
+
+[[package]]
+name = "cachetools"
+version = "5.5.0"
+description = "Extensible memoizing collections and decorators"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "cachetools-5.5.0-py3-none-any.whl", hash = "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292"},
+    {file = "cachetools-5.5.0.tar.gz", hash = "sha256:2cc24fb4cbe39633fb7badd9db9ca6295d766d9c2995f245725a46715d050f2a"},
+]
 
 [[package]]
 name = "certifi"
@@ -109,108 +152,137 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.2"
+version = "3.4.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
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+[package.dependencies]
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+
 [[package]]
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 version = "2.2.1"
 description = "Extended pickling support for Python objects"
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 version = "0.3.9"
 description = "serialize all of Python"
-optional = false
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 python-versions = ">=3.8"
 files = [
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@@ -247,7 +504,7 @@ profile = ["gprof2dot (>=2022.7.29)"]
 name = "docker"
 version = "7.1.0"
 description = "A Python library for the Docker Engine API."
-optional = false
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 python-versions = ">=3.8"
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 typing = ["typing-extensions (>=4.12.2)"]
 
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+
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+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["munkres", "pycairo", "scipy"]
+lxml = ["lxml (>=4.0)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=15.1.0)"]
+woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+
 [[package]]
 name = "fsspec"
 version = "2024.9.0"
@@ -380,11 +731,66 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "gitdb"
+version = "4.0.11"
+description = "Git Object Database"
+optional = true
+python-versions = ">=3.7"
+files = [
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+[package.dependencies]
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+
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+name = "gitpython"
+version = "3.1.43"
+description = "GitPython is a Python library used to interact with Git repositories"
+optional = true
+python-versions = ">=3.7"
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+
+[[package]]
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+python-versions = ">=3.7"
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+[package.dependencies]
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+pyasn1-modules = ">=0.2.1"
+rsa = ">=3.1.4,<5"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
+enterprise-cert = ["cryptography", "pyopenssl"]
+pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
+requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+
 [[package]]
 name = "google-pasta"
 version = "0.2.0"
 description = "pasta is an AST-based Python refactoring library"
-optional = false
+optional = true
 python-versions = "*"
 files = [
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@@ -395,6 +801,161 @@ files = [
 [package.dependencies]
 six = "*"
 
+[[package]]
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+optional = true
+python-versions = "*"
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+    {file = "graphene-3.4.tar.gz", hash = "sha256:65e5ec84c5b7fb4fc41518acfbafb62ebb393d3982fbba00cd5393e431a80b97"},
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+graphql-relay = ">=3.1,<3.3"
+typing-extensions = ">=4.7.1,<5"
+
+[package.extras]
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+
+[[package]]
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+version = "3.2.5"
+description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL."
+optional = true
+python-versions = "<4,>=3.6"
+files = [
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+
+[[package]]
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+version = "3.2.0"
+description = "Relay library for graphql-core"
+optional = true
+python-versions = ">=3.6,<4"
+files = [
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+test = ["objgraph", "psutil"]
+
+[[package]]
+name = "gunicorn"
+version = "23.0.0"
+description = "WSGI HTTP Server for UNIX"
+optional = true
+python-versions = ">=3.7"
+files = [
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+packaging = "*"
+
+[package.extras]
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+gevent = ["gevent (>=1.4.0)"]
+setproctitle = ["setproctitle"]
+testing = ["coverage", "eventlet", "gevent", "pytest", "pytest-cov"]
+tornado = ["tornado (>=0.2)"]
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -408,13 +969,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -425,7 +986,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
@@ -465,13 +1026,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.25.1"
+version = "0.26.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -484,16 +1045,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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-inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
+inference = ["aiohttp"]
+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -515,7 +1076,7 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 name = "importlib-metadata"
 version = "6.11.0"
 description = "Read metadata from Python packages"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
@@ -534,7 +1095,7 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 name = "importlib-resources"
 version = "6.4.5"
 description = "Read resources from Python packages"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
@@ -563,22 +1124,61 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
+[[package]]
+name = "itsdangerous"
+version = "2.2.0"
+description = "Safely pass data to untrusted environments and back."
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
+    {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
+]
+
+[[package]]
+name = "jinja2"
+version = "3.1.4"
+description = "A very fast and expressive template engine."
+optional = true
+python-versions = ">=3.7"
+files = [
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+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
 description = "JSON Matching Expressions"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
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     {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
 ]
 
+[[package]]
+name = "joblib"
+version = "1.4.2"
+description = "Lightweight pipelining with Python functions"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
+    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
+]
+
 [[package]]
 name = "jsonschema"
 version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
@@ -601,7 +1201,7 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 name = "jsonschema-specifications"
 version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
@@ -612,11 +1212,171 @@ files = [
 importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
 referencing = ">=0.31.0"
 
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+optional = true
+python-versions = ">=3.8"
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+[package.dependencies]
+cachetools = ">=5.0.0,<6"
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+cloudpickle = "<4"
+databricks-sdk = ">=0.20.0,<1"
+gitpython = ">=3.1.9,<4"
+importlib-metadata = ">=3.7.0,<4.7.0 || >4.7.0,<9"
+opentelemetry-api = ">=1.9.0,<3"
+opentelemetry-sdk = ">=1.9.0,<3"
+packaging = "<25"
+protobuf = ">=3.12.0,<6"
+pyyaml = ">=5.1,<7"
+requests = ">=2.17.3,<3"
+sqlparse = ">=0.4.0,<1"
+
+[package.extras]
+aliyun-oss = ["aliyunstoreplugin"]
+databricks = ["azure-storage-file-datalake (>12)", "boto3 (>1)", "botocore", "google-cloud-storage (>=1.30.0)"]
+extras = ["azureml-core (>=1.2.0)", "boto3", "botocore", "google-cloud-storage (>=1.30.0)", "kubernetes", "prometheus-flask-exporter", "pyarrow", "pysftp", "requests-auth-aws-sigv4", "virtualenv"]
+gateway = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "pydantic (>=1.0,<3)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<1)"]
+genai = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "pydantic (>=1.0,<3)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<1)"]
+jfrog = ["mlflow-jfrog-plugin"]
+langchain = ["langchain (>=0.1.0,<=0.3.1)"]
+mlserver = ["mlserver (>=1.2.0,!=1.3.1)", "mlserver-mlflow (>=1.2.0,!=1.3.1)"]
+sqlserver = ["mlflow-dbstore"]
+xethub = ["mlflow-xethub"]
+
 [[package]]
 name = "mock"
 version = "4.0.3"
 description = "Rolling backport of unittest.mock for all Pythons"
-optional = false
+optional = true
 python-versions = ">=3.6"
 files = [
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@@ -665,27 +1644,31 @@ test = ["pytest (<5.4)", "pytest-cov"]
 
 [[package]]
 name = "multiprocess"
-version = "0.70.16"
+version = "0.70.17"
 description = "better multiprocessing and multithreading in Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "multiprocess-0.70.17.tar.gz", hash = "sha256:4ae2f11a3416809ebc9a48abfc8b14ecce0652a0944731a1493a3c1ba44ff57a"},
 ]
 
 [package.dependencies]
-dill = ">=0.3.8"
+dill = ">=0.3.9"
 
 [[package]]
 name = "mypy"
@@ -748,7 +1731,7 @@ files = [
 name = "numpy"
 version = "1.24.4"
 description = "Fundamental package for array computing in Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"},
@@ -781,6 +1764,52 @@ files = [
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 ]
 
+[[package]]
+name = "opentelemetry-api"
+version = "1.27.0"
+description = "OpenTelemetry Python API"
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "opentelemetry_api-1.27.0.tar.gz", hash = "sha256:ed673583eaa5f81b5ce5e86ef7cdaf622f88ef65f0b9aab40b843dcae5bef342"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+importlib-metadata = ">=6.0,<=8.4.0"
+
+[[package]]
+name = "opentelemetry-sdk"
+version = "1.27.0"
+description = "OpenTelemetry Python SDK"
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "opentelemetry_sdk-1.27.0.tar.gz", hash = "sha256:d525017dea0ccce9ba4e0245100ec46ecdc043f2d7b8315d56b19aff0904fa6f"},
+]
+
+[package.dependencies]
+opentelemetry-api = "1.27.0"
+opentelemetry-semantic-conventions = "0.48b0"
+typing-extensions = ">=3.7.4"
+
+[[package]]
+name = "opentelemetry-semantic-conventions"
+version = "0.48b0"
+description = "OpenTelemetry Semantic Conventions"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_semantic_conventions-0.48b0-py3-none-any.whl", hash = "sha256:a0de9f45c413a8669788a38569c7e0a11ce6ce97861a628cca785deecdc32a1f"},
+    {file = "opentelemetry_semantic_conventions-0.48b0.tar.gz", hash = "sha256:12d74983783b6878162208be57c9effcb89dc88691c64992d70bb89dc00daa1a"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+opentelemetry-api = "1.27.0"
+
 [[package]]
 name = "packaging"
 version = "24.1"
@@ -796,7 +1825,7 @@ files = [
 name = "pandas"
 version = "2.0.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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@@ -828,8 +1857,8 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
     {version = ">=1.20.3", markers = "python_version < \"3.10\""},
+    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
     {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
@@ -875,26 +1904,123 @@ dev = ["jinja2"]
 
 [[package]]
 name = "pathos"
-version = "0.3.2"
+version = "0.3.3"
 description = "parallel graph management and execution in heterogeneous computing"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "pathos-0.3.3-py3-none-any.whl", hash = "sha256:e04616c6448608ad1f809360be22e3f2078d949a36a81e6991da6c2dd1f82513"},
+    {file = "pathos-0.3.3.tar.gz", hash = "sha256:dcb2a5f321aa34ca541c1c1861011ea49df357bb908379c21dd5741f666e0a58"},
 ]
 
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-dill = ">=0.3.8"
-multiprocess = ">=0.70.16"
-pox = ">=0.3.4"
-ppft = ">=1.7.6.8"
+dill = ">=0.3.9"
+multiprocess = ">=0.70.17"
+pox = ">=0.3.5"
+ppft = ">=1.7.6.9"
+
+[[package]]
+name = "pillow"
+version = "10.4.0"
+description = "Python Imaging Library (Fork)"
+optional = true
+python-versions = ">=3.8"
+files = [
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+fpx = ["olefile"]
+mic = ["olefile"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
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 version = "1.3.10"
 description = "Resolve a name to an object."
-optional = false
+optional = true
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 version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
-optional = false
+optional = true
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 name = "pox"
 version = "0.3.5"
 description = "utilities for filesystem exploration and automated builds"
-optional = false
+optional = true
 python-versions = ">=3.8"
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 version = "1.7.6.9"
 description = "distributed and parallel Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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 name = "protobuf"
 version = "4.25.5"
 description = ""
-optional = false
+optional = true
 python-versions = ">=3.8"
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 [package.extras]
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+test = ["pytest", "pytest-xdist", "setuptools"]
+
+[[package]]
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+optional = true
+python-versions = ">=3.8"
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+]
+
+[package.dependencies]
+numpy = ">=1.16.6"
+
+[package.extras]
+test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
+
+[[package]]
+name = "pyasn1"
+version = "0.6.1"
+description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
+optional = true
+python-versions = ">=3.8"
+files = [
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+
+[[package]]
+name = "pyasn1-modules"
+version = "0.4.1"
+description = "A collection of ASN.1-based protocols modules"
+optional = true
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+pyasn1 = ">=0.4.6,<0.7.0"
 
 [[package]]
 name = "pydantic"
@@ -1021,8 +2224,8 @@ files = [
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 pydantic-core = "2.23.4"
 typing-extensions = [
-    {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
     {version = ">=4.6.1", markers = "python_version < \"3.13\""},
+    {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
 ]
 
 [package.extras]
@@ -1134,7 +2337,7 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 name = "pygments"
 version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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@@ -1144,6 +2347,20 @@ files = [
 [package.extras]
 windows-terminal = ["colorama (>=0.4.6)"]
 
+[[package]]
+name = "pyparsing"
+version = "3.1.4"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+optional = true
+python-versions = ">=3.6.8"
+files = [
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+]
+
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
+
 [[package]]
 name = "pytest"
 version = "7.4.4"
@@ -1202,7 +2419,7 @@ six = ">=1.5"
 name = "pytz"
 version = "2024.2"
 description = "World timezone definitions, modern and historical"
-optional = false
+optional = true
 python-versions = "*"
 files = [
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@@ -1211,25 +2428,29 @@ files = [
 
 [[package]]
 name = "pywin32"
-version = "306"
+version = "308"
 description = "Python for Window Extensions"
-optional = false
+optional = true
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -1298,7 +2519,7 @@ files = [
 name = "referencing"
 version = "0.35.1"
 description = "JSON Referencing + Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
@@ -1332,19 +2553,19 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "rich"
-version = "13.8.1"
+version = "13.9.2"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-optional = false
-python-versions = ">=3.7.0"
+optional = true
+python-versions = ">=3.8.0"
 files = [
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+    {file = "rich-13.9.2.tar.gz", hash = "sha256:51a2c62057461aaf7152b4d611168f93a9fc73068f8ded2790f29fe2b5366d0c"},
 ]
 
 [package.dependencies]
 markdown-it-py = ">=2.2.0"
 pygments = ">=2.13.0,<3.0.0"
-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""}
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
@@ -1353,7 +2574,7 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 name = "rpds-py"
 version = "0.20.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "rpds_py-0.20.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3ad0fda1635f8439cde85c700f964b23ed5fc2d28016b32b9ee5fe30da5c84e2"},
@@ -1461,6 +2682,20 @@ files = [
     {file = "rpds_py-0.20.0.tar.gz", hash = "sha256:d72a210824facfdaf8768cf2d7ca25a042c30320b3020de2fa04640920d4e121"},
 ]
 
+[[package]]
+name = "rsa"
+version = "4.9"
+description = "Pure-Python RSA implementation"
+optional = true
+python-versions = ">=3.6,<4"
+files = [
+    {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
+    {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
+]
+
+[package.dependencies]
+pyasn1 = ">=0.1.3"
+
 [[package]]
 name = "ruff"
 version = "0.5.7"
@@ -1490,13 +2725,13 @@ files = [
 
 [[package]]
 name = "s3transfer"
-version = "0.10.2"
+version = "0.10.3"
 description = "An Amazon S3 Transfer Manager"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "s3transfer-0.10.2-py3-none-any.whl", hash = "sha256:eca1c20de70a39daee580aef4986996620f365c4e0fda6a86100231d62f1bf69"},
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+    {file = "s3transfer-0.10.3-py3-none-any.whl", hash = "sha256:263ed587a5803c6c708d3ce44dc4dfedaab4c1a32e8329bab818933d79ddcf5d"},
+    {file = "s3transfer-0.10.3.tar.gz", hash = "sha256:4f50ed74ab84d474ce614475e0b8d5047ff080810aac5d01ea25231cfc944b0c"},
 ]
 
 [package.dependencies]
@@ -1507,13 +2742,13 @@ crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
 
 [[package]]
 name = "sagemaker"
-version = "2.232.1"
+version = "2.232.2"
 description = "Open source library for training and deploying models on Amazon SageMaker."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "sagemaker-2.232.2-py3-none-any.whl", hash = "sha256:49afdb0d83635bb71c5177e5ca6fb0b2dca804fa3c3f115f74dac88b77238f2f"},
+    {file = "sagemaker-2.232.2.tar.gz", hash = "sha256:96732fc6986ad5b723b05bac5d5ee8e4594e51c6c65c0cc0d07c0dbef69e82b7"},
 ]
 
 [package.dependencies]
@@ -1534,6 +2769,7 @@ psutil = "*"
 pyyaml = ">=6.0,<7.0"
 requests = "*"
 sagemaker-core = ">=1.0.0,<2.0.0"
+sagemaker-mlflow = "*"
 schema = "*"
 smdebug-rulesconfig = "1.0.1"
 tblib = ">=1.7.0,<4"
@@ -1550,13 +2786,13 @@ test = ["accelerate (>=0.24.1,<=0.27.0)", "apache-airflow (==2.9.3)", "apache-ai
 
 [[package]]
 name = "sagemaker-core"
-version = "1.0.9"
+version = "1.0.10"
 description = "An python package for sagemaker core functionalities"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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-    {file = "sagemaker_core-1.0.9.tar.gz", hash = "sha256:664115faf797412553fb81b97a4777e78e51dfd4454c32edb2c8371bf203c535"},
+    {file = "sagemaker_core-1.0.10-py3-none-any.whl", hash = "sha256:0bdcf6a467db988919cc6b6d0077f74871ee24c24adf7f759f9cb98460e08953"},
+    {file = "sagemaker_core-1.0.10.tar.gz", hash = "sha256:6d34a9b6dc5e17e8bfffd1d0650726865779c92b3b8f1b59fc15d42061a0dd29"},
 ]
 
 [package.dependencies]
@@ -1572,17 +2808,121 @@ rich = ">=13.0.0,<14.0.0"
 [package.extras]
 codegen = ["black (>=24.3.0,<25.0.0)", "pandas (>=2.0.0,<3.0.0)", "pylint (>=3.0.0,<4.0.0)", "pytest (>=8.0.0,<9.0.0)"]
 
+[[package]]
+name = "sagemaker-mlflow"
+version = "0.1.0"
+description = "AWS Plugin for MLFlow with SageMaker"
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "sagemaker_mlflow-0.1.0.tar.gz", hash = "sha256:1fe8f7f010f7c68b6b0b46c032cf6a414f20adfc26cbc6a731d3a91b32b9b84f"},
+]
+
+[package.dependencies]
+boto3 = ">=1.34"
+mlflow = ">=2.8"
+
+[package.extras]
+test = ["boto3", "coverage (>=5.2,<6.2)", "mlflow", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist", "scikit-learn"]
+test-prerelease = ["mlflow", "packaging", "pytest"]
+
 [[package]]
 name = "schema"
 version = "0.7.7"
 description = "Simple data validation library"
-optional = false
+optional = true
 python-versions = "*"
 files = [
     {file = "schema-0.7.7-py2.py3-none-any.whl", hash = "sha256:5d976a5b50f36e74e2157b47097b60002bd4d42e65425fcc9c9befadb4255dde"},
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 ]
 
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+name = "scikit-learn"
+version = "1.3.2"
+description = "A set of python modules for machine learning and data mining"
+optional = true
+python-versions = ">=3.8"
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+
+[[package]]
+name = "scipy"
+version = "1.9.3"
+description = "Fundamental algorithms for scientific computing in Python"
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "scipy-1.9.3.tar.gz", hash = "sha256:fbc5c05c85c1a02be77b1ff591087c83bc44579c6d2bd9fb798bb64ea5e1a027"},
+]
+
+[package.dependencies]
+numpy = ">=1.18.5,<1.26.0"
+
+[package.extras]
+dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
+doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
+test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1598,13 +2938,24 @@ files = [
 name = "smdebug-rulesconfig"
 version = "1.0.1"
 description = "SMDebug RulesConfig"
-optional = false
+optional = true
 python-versions = ">=2.7"
 files = [
     {file = "smdebug_rulesconfig-1.0.1-py2.py3-none-any.whl", hash = "sha256:104da3e6931ecf879dfc687ca4bbb3bee5ea2bc27f4478e9dbb3ee3655f1ae61"},
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 ]
 
+[[package]]
+name = "smmap"
+version = "5.0.1"
+description = "A pure Python implementation of a sliding window memory map manager"
+optional = true
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -1616,124 +2967,245 @@ files = [
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
+[[package]]
+name = "sqlalchemy"
+version = "2.0.36"
+description = "Database Abstraction Library"
+optional = true
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 ]
 
 [package.dependencies]
@@ -1746,13 +3218,13 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.0.2"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 [[package]]
@@ -1777,13 +3249,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20240906"
+version = "2.9.0.20241003"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -1802,13 +3274,13 @@ types-urllib3 = "*"
 
 [[package]]
 name = "types-requests"
-version = "2.32.0.20240914"
+version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1840,7 +3312,7 @@ files = [
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 version = "2024.2"
 description = "Provider of IANA time zone data"
-optional = false
+optional = true
 python-versions = ">=2"
 files = [
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 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
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+optional = true
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+testing = ["coverage (>=5.0)", "pytest", "pytest-cov"]
+
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+
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+    {file = "wrapt-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35"},
+    {file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
+    {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
+]
+
 [[package]]
 name = "zipp"
 version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
@@ -1899,7 +3482,10 @@ enabler = ["pytest-enabler (>=2.2)"]
 test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
+[extras]
+aws = ["boto3", "sagemaker"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8"
-content-hash = "a7846fa74e0faed852edf752d5fe80cb9861f040a1b8ce838bc2f6251ac22a1b"
+content-hash = "abe0e6f3af35ff2b977fa3bf164174bbb90cd68b2c70a5e2b13a1d7c4314d652"
diff --git a/pyproject.toml b/pyproject.toml
index fa8e05378..e130132bc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "cohere"
-version = "5.11.0"
+version = "5.11.1"
 description = ""
 readme = "README.md"
 authors = []
@@ -32,7 +32,7 @@ Repository = 'https://github.com/cohere-ai/cohere-python'
 
 [tool.poetry.dependencies]
 python = "^3.8"
-boto3 = "^1.34.0"
+boto3 = { version="^1.34.0", optional = true}
 fastavro = "^1.9.4"
 httpx = ">=0.21.2"
 httpx-sse = "0.4.0"
@@ -40,10 +40,10 @@ parameterized = "^0.9.0"
 pydantic = ">= 1.9.2"
 pydantic-core = "^2.18.2"
 requests = "^2.0.0"
+sagemaker = { version="^2.232.1", optional = true}
 tokenizers = ">=0.15,<1"
 types-requests = "^2.0.0"
 typing_extensions = ">= 4.0.0"
-sagemaker = "^2.232.1"
 
 [tool.poetry.dev-dependencies]
 mypy = "1.0.1"
@@ -68,3 +68,6 @@ line-length = 120
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.extras]
+aws=["sagemaker", "boto3"]
diff --git a/reference.md b/reference.md
index 410686983..7d0740d7f 100644
--- a/reference.md
+++ b/reference.md
@@ -2319,7 +2319,9 @@ client.check_api_key()
 <dl>
 <dd>
 
-Generates a message from the model in response to a provided conversation. To learn how to use the Chat API with Streaming and RAG follow our Text Generation guides.
+Generates a message from the model in response to a provided conversation. To learn more about the features of the Chat API follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).
+
+Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
 </dd>
 </dl>
 </dd>
@@ -2396,7 +2398,7 @@ for chunk in response:
 <dl>
 <dd>
 
-**model:** `str` — The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.
+**model:** `str` — The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model.
     
 </dd>
 </dl>
@@ -2452,14 +2454,12 @@ When `tools` is passed (without `tool_results`), the `text` content in the respo
 
 **safety_mode:** `typing.Optional[V2ChatStreamRequestSafetyMode]` 
 
-Used to select the [safety instruction](/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
+Used to select the [safety instruction](https://docs.cohere.com/v2/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
 When `OFF` is specified, the safety instruction will be omitted.
 
 Safety modes are not yet configurable in combination with `tools`, `tool_results` and `documents` parameters.
 
-**Note**: This parameter is only compatible with models [Command R 08-2024](/docs/command-r#august-2024-release), [Command R+ 08-2024](/docs/command-r-plus#august-2024-release) and newer.
-
-Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
+**Note**: This parameter is only compatible with models [Command R 08-2024](https://docs.cohere.com/v2/docs/command-r#august-2024-release), [Command R+ 08-2024](https://docs.cohere.com/v2/docs/command-r-plus#august-2024-release) and newer.
 
     
 </dd>
@@ -2468,7 +2468,11 @@ Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private D
 <dl>
 <dd>
 
-**max_tokens:** `typing.Optional[int]` — The maximum number of tokens the model will generate as part of the response. Note: Setting a low value may result in incomplete generations.
+**max_tokens:** `typing.Optional[int]` 
+
+The maximum number of tokens the model will generate as part of the response.
+
+**Note**: Setting a low value may result in incomplete generations.
 
     
 </dd>
@@ -2595,7 +2599,9 @@ Defaults to `0.75`. min value of `0.01`, max value of `0.99`.
 <dl>
 <dd>
 
-Generates a message from the model in response to a provided conversation. To learn how to use the Chat API with Streaming and RAG follow our Text Generation guides.
+Generates a message from the model in response to a provided conversation. To learn more about the features of the Chat API follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).
+
+Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
 </dd>
 </dl>
 </dd>
@@ -2621,6 +2627,7 @@ client.v2.chat(
     messages=[
         ToolChatMessageV2(
             tool_call_id="messages",
+            content="messages",
         )
     ],
 )
@@ -2639,7 +2646,7 @@ client.v2.chat(
 <dl>
 <dd>
 
-**model:** `str` — The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.
+**model:** `str` — The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model.
     
 </dd>
 </dl>
@@ -2695,14 +2702,12 @@ When `tools` is passed (without `tool_results`), the `text` content in the respo
 
 **safety_mode:** `typing.Optional[V2ChatRequestSafetyMode]` 
 
-Used to select the [safety instruction](/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
+Used to select the [safety instruction](https://docs.cohere.com/v2/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
 When `OFF` is specified, the safety instruction will be omitted.
 
 Safety modes are not yet configurable in combination with `tools`, `tool_results` and `documents` parameters.
 
-**Note**: This parameter is only compatible with models [Command R 08-2024](/docs/command-r#august-2024-release), [Command R+ 08-2024](/docs/command-r-plus#august-2024-release) and newer.
-
-Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
+**Note**: This parameter is only compatible with models [Command R 08-2024](https://docs.cohere.com/v2/docs/command-r#august-2024-release), [Command R+ 08-2024](https://docs.cohere.com/v2/docs/command-r-plus#august-2024-release) and newer.
 
     
 </dd>
@@ -2711,7 +2716,11 @@ Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private D
 <dl>
 <dd>
 
-**max_tokens:** `typing.Optional[int]` — The maximum number of tokens the model will generate as part of the response. Note: Setting a low value may result in incomplete generations.
+**max_tokens:** `typing.Optional[int]` 
+
+The maximum number of tokens the model will generate as part of the response.
+
+**Note**: Setting a low value may result in incomplete generations.
 
     
 </dd>
@@ -2865,6 +2874,8 @@ client = Client(
 )
 client.v2.embed(
     model="model",
+    input_type="search_document",
+    embedding_types=["float"],
 )
 
 ```
@@ -2904,7 +2915,7 @@ Available models and corresponding embedding dimensions:
 <dl>
 <dd>
 
-**texts:** `typing.Optional[typing.Sequence[str]]` — An array of strings for the model to embed. Maximum number of texts per call is `96`. We recommend reducing the length of each text to be under `512` tokens for optimal quality.
+**input_type:** `EmbedInputType` 
     
 </dd>
 </dl>
@@ -2912,11 +2923,15 @@ Available models and corresponding embedding dimensions:
 <dl>
 <dd>
 
-**images:** `typing.Optional[typing.Sequence[str]]` 
+**embedding_types:** `typing.Sequence[EmbeddingType]` 
 
-An array of image data URIs for the model to embed. Maximum number of images per call is `1`.
+Specifies the types of embeddings you want to get back. Not required and default is None, which returns the Embed Floats response type. Can be one or more of the following types.
 
-The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB.
+* `"float"`: Use this when you want to get back the default float embeddings. Valid for all models.
+* `"int8"`: Use this when you want to get back signed int8 embeddings. Valid for only v3 models.
+* `"uint8"`: Use this when you want to get back unsigned int8 embeddings. Valid for only v3 models.
+* `"binary"`: Use this when you want to get back signed binary embeddings. Valid for only v3 models.
+* `"ubinary"`: Use this when you want to get back unsigned binary embeddings. Valid for only v3 models.
     
 </dd>
 </dl>
@@ -2924,7 +2939,7 @@ The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/We
 <dl>
 <dd>
 
-**input_type:** `typing.Optional[EmbedInputType]` 
+**texts:** `typing.Optional[typing.Sequence[str]]` — An array of strings for the model to embed. Maximum number of texts per call is `96`. We recommend reducing the length of each text to be under `512` tokens for optimal quality.
     
 </dd>
 </dl>
@@ -2932,15 +2947,11 @@ The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/We
 <dl>
 <dd>
 
-**embedding_types:** `typing.Optional[typing.Sequence[EmbeddingType]]` 
+**images:** `typing.Optional[typing.Sequence[str]]` 
 
-Specifies the types of embeddings you want to get back. Not required and default is None, which returns the Embed Floats response type. Can be one or more of the following types.
+An array of image data URIs for the model to embed. Maximum number of images per call is `1`.
 
-* `"float"`: Use this when you want to get back the default float embeddings. Valid for all models.
-* `"int8"`: Use this when you want to get back signed int8 embeddings. Valid for only v3 models.
-* `"uint8"`: Use this when you want to get back unsigned int8 embeddings. Valid for only v3 models.
-* `"binary"`: Use this when you want to get back signed binary embeddings. Valid for only v3 models.
-* `"ubinary"`: Use this when you want to get back unsigned binary embeddings. Valid for only v3 models.
+The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB.
     
 </dd>
 </dl>
diff --git a/src/cohere/core/client_wrapper.py b/src/cohere/core/client_wrapper.py
index c92dd1d42..91fb65307 100644
--- a/src/cohere/core/client_wrapper.py
+++ b/src/cohere/core/client_wrapper.py
@@ -24,7 +24,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "cohere",
-            "X-Fern-SDK-Version": "5.11.0",
+            "X-Fern-SDK-Version": "5.11.1",
         }
         if self._client_name is not None:
             headers["X-Client-Name"] = self._client_name
diff --git a/src/cohere/types/__init__.py b/src/cohere/types/__init__.py
index 4f000ecf9..b57274c29 100644
--- a/src/cohere/types/__init__.py
+++ b/src/cohere/types/__init__.py
@@ -110,6 +110,7 @@
 from .detokenize_response import DetokenizeResponse
 from .document import Document
 from .document_content import DocumentContent
+from .document_source import DocumentSource
 from .embed_by_type_response import EmbedByTypeResponse
 from .embed_by_type_response_embeddings import EmbedByTypeResponseEmbeddings
 from .embed_floats_response import EmbedFloatsResponse
@@ -196,8 +197,12 @@
 from .summarize_request_format import SummarizeRequestFormat
 from .summarize_request_length import SummarizeRequestLength
 from .summarize_response import SummarizeResponse
+from .system_message import SystemMessage
 from .system_message_content import SystemMessageContent
 from .system_message_content_item import SystemMessageContentItem, TextSystemMessageContentItem
+from .text_content import TextContent
+from .text_response_format import TextResponseFormat
+from .text_response_format_v2 import TextResponseFormatV2
 from .tokenize_response import TokenizeResponse
 from .too_many_requests_error_body import TooManyRequestsErrorBody
 from .tool import Tool
@@ -206,10 +211,12 @@
 from .tool_call_v2 import ToolCallV2
 from .tool_call_v2function import ToolCallV2Function
 from .tool_content import DocumentToolContent, TextToolContent, ToolContent
+from .tool_message import ToolMessage
 from .tool_message_v2 import ToolMessageV2
 from .tool_message_v2content import ToolMessageV2Content
 from .tool_parameter_definitions_value import ToolParameterDefinitionsValue
 from .tool_result import ToolResult
+from .tool_source import ToolSource
 from .tool_v2 import ToolV2
 from .tool_v2function import ToolV2Function
 from .unprocessable_entity_error_body import UnprocessableEntityErrorBody
@@ -217,6 +224,7 @@
 from .usage import Usage
 from .usage_billed_units import UsageBilledUnits
 from .usage_tokens import UsageTokens
+from .user_message import UserMessage
 from .user_message_content import UserMessageContent
 
 __all__ = [
diff --git a/src/cohere/types/assistant_message.py b/src/cohere/types/assistant_message.py
index 6393f7d36..c870095f3 100644
--- a/src/cohere/types/assistant_message.py
+++ b/src/cohere/types/assistant_message.py
@@ -3,10 +3,10 @@
 from ..core.unchecked_base_model import UncheckedBaseModel
 import typing
 from .tool_call_v2 import ToolCallV2
+import pydantic
 from .assistant_message_content import AssistantMessageContent
 from .citation import Citation
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
-import pydantic
 
 
 class AssistantMessage(UncheckedBaseModel):
@@ -15,7 +15,11 @@ class AssistantMessage(UncheckedBaseModel):
     """
 
     tool_calls: typing.Optional[typing.List[ToolCallV2]] = None
-    tool_plan: typing.Optional[str] = None
+    tool_plan: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    A chain-of-thought style reflection and plan that the model generates when working with Tools.
+    """
+
     content: typing.Optional[AssistantMessageContent] = None
     citations: typing.Optional[typing.List[Citation]] = None
 
diff --git a/src/cohere/types/assistant_message_response.py b/src/cohere/types/assistant_message_response.py
index a00c827dd..dace43c2e 100644
--- a/src/cohere/types/assistant_message_response.py
+++ b/src/cohere/types/assistant_message_response.py
@@ -3,10 +3,10 @@
 from ..core.unchecked_base_model import UncheckedBaseModel
 import typing
 from .tool_call_v2 import ToolCallV2
+import pydantic
 from .assistant_message_response_content_item import AssistantMessageResponseContentItem
 from .citation import Citation
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
-import pydantic
 
 
 class AssistantMessageResponse(UncheckedBaseModel):
@@ -16,7 +16,11 @@ class AssistantMessageResponse(UncheckedBaseModel):
 
     role: typing.Literal["assistant"] = "assistant"
     tool_calls: typing.Optional[typing.List[ToolCallV2]] = None
-    tool_plan: typing.Optional[str] = None
+    tool_plan: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    A chain-of-thought style reflection and plan that the model generates when working with Tools.
+    """
+
     content: typing.Optional[typing.List[AssistantMessageResponseContentItem]] = None
     citations: typing.Optional[typing.List[Citation]] = None
 
diff --git a/src/cohere/types/chat_finish_reason.py b/src/cohere/types/chat_finish_reason.py
index f29a11219..395e02206 100644
--- a/src/cohere/types/chat_finish_reason.py
+++ b/src/cohere/types/chat_finish_reason.py
@@ -3,6 +3,5 @@
 import typing
 
 ChatFinishReason = typing.Union[
-    typing.Literal["complete", "stop_sequence", "max_tokens", "tool_call", "error", "content_blocked", "error_limit"],
-    typing.Any,
+    typing.Literal["COMPLETE", "STOP_SEQUENCE", "MAX_TOKENS", "TOOL_CALL", "ERROR"], typing.Any
 ]
diff --git a/src/cohere/types/chat_message_v2.py b/src/cohere/types/chat_message_v2.py
index 5b2965bb5..c1fa529c4 100644
--- a/src/cohere/types/chat_message_v2.py
+++ b/src/cohere/types/chat_message_v2.py
@@ -79,7 +79,7 @@ class ToolChatMessageV2(UncheckedBaseModel):
 
     role: typing.Literal["tool"] = "tool"
     tool_call_id: str
-    content: typing.Optional[ToolMessageV2Content] = None
+    content: ToolMessageV2Content
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
diff --git a/src/cohere/types/chat_tool_calls_chunk_event.py b/src/cohere/types/chat_tool_calls_chunk_event.py
index 80a32e822..dd7f9cfa8 100644
--- a/src/cohere/types/chat_tool_calls_chunk_event.py
+++ b/src/cohere/types/chat_tool_calls_chunk_event.py
@@ -2,13 +2,14 @@
 
 from .chat_stream_event import ChatStreamEvent
 from .tool_call_delta import ToolCallDelta
-from ..core.pydantic_utilities import IS_PYDANTIC_V2
 import typing
+from ..core.pydantic_utilities import IS_PYDANTIC_V2
 import pydantic
 
 
 class ChatToolCallsChunkEvent(ChatStreamEvent):
     tool_call_delta: ToolCallDelta
+    text: typing.Optional[str] = None
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
diff --git a/src/cohere/types/citation.py b/src/cohere/types/citation.py
index 23dc6740e..adacdb1e7 100644
--- a/src/cohere/types/citation.py
+++ b/src/cohere/types/citation.py
@@ -2,9 +2,9 @@
 
 from ..core.unchecked_base_model import UncheckedBaseModel
 import typing
+import pydantic
 from .source import Source
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
-import pydantic
 
 
 class Citation(UncheckedBaseModel):
@@ -12,9 +12,21 @@ class Citation(UncheckedBaseModel):
     Citation information containing sources and the text cited.
     """
 
-    start: typing.Optional[int] = None
-    end: typing.Optional[int] = None
-    text: typing.Optional[str] = None
+    start: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Start index of the cited snippet in the original source text.
+    """
+
+    end: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    End index of the cited snippet in the original source text.
+    """
+
+    text: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Text snippet that is being cited.
+    """
+
     sources: typing.Optional[typing.List[Source]] = None
 
     if IS_PYDANTIC_V2:
diff --git a/src/cohere/types/json_response_format_v2.py b/src/cohere/types/json_response_format_v2.py
index 3819d8643..c12c4b0eb 100644
--- a/src/cohere/types/json_response_format_v2.py
+++ b/src/cohere/types/json_response_format_v2.py
@@ -9,7 +9,7 @@
 class JsonResponseFormatV2(UncheckedBaseModel):
     json_schema: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = pydantic.Field(default=None)
     """
-    [BETA] A JSON schema object that the output will adhere to. There are some restrictions we have on the schema, refer to [our guide](/docs/structured-outputs-json#schema-constraints) for more information.
+    A [JSON schema](https://json-schema.org/overview/what-is-jsonschema) object that the output will adhere to. There are some restrictions we have on the schema, refer to [our guide](/docs/structured-outputs-json#schema-constraints) for more information.
     Example (required name and age object):
     
     ```json
diff --git a/src/cohere/types/response_format_v2.py b/src/cohere/types/response_format_v2.py
index 3d3b21600..b1f7f4cbc 100644
--- a/src/cohere/types/response_format_v2.py
+++ b/src/cohere/types/response_format_v2.py
@@ -11,14 +11,17 @@
 
 class TextResponseFormatV2(UncheckedBaseModel):
     """
-    Configuration for forcing the model output to adhere to the specified format. Supported on [Command R](https://docs.cohere.com/docs/command-r), [Command R+](https://docs.cohere.com/docs/command-r-plus) and newer models.
+    Configuration for forcing the model output to adhere to the specified format. Supported on [Command R](https://docs.cohere.com/v2/docs/command-r), [Command R+](https://docs.cohere.com/v2/docs/command-r-plus) and newer models.
 
-    The model can be forced into outputting JSON objects (with up to 5 levels of nesting) by setting `{ "type": "json_object" }`.
+    The model can be forced into outputting JSON objects by setting `{ "type": "json_object" }`.
 
     A [JSON Schema](https://json-schema.org/) can optionally be provided, to ensure a specific structure.
 
     **Note**: When using `{ "type": "json_object" }` your `message` should always explicitly instruct the model to generate a JSON (eg: _"Generate a JSON ..."_) . Otherwise the model may end up getting stuck generating an infinite stream of characters and eventually run out of context length.
-    **Limitation**: The parameter is not supported in RAG mode (when any of `connectors`, `documents`, `tools`, `tool_results` are provided).
+
+    **Note**: When `json_schema` is not specified, the generated object can have up to 5 layers of nesting.
+
+    **Limitation**: The parameter is not supported when used in combinations with the `documents` or `tools` parameters.
     """
 
     type: typing.Literal["text"] = "text"
@@ -35,14 +38,17 @@ class Config:
 
 class JsonObjectResponseFormatV2(UncheckedBaseModel):
     """
-    Configuration for forcing the model output to adhere to the specified format. Supported on [Command R](https://docs.cohere.com/docs/command-r), [Command R+](https://docs.cohere.com/docs/command-r-plus) and newer models.
+    Configuration for forcing the model output to adhere to the specified format. Supported on [Command R](https://docs.cohere.com/v2/docs/command-r), [Command R+](https://docs.cohere.com/v2/docs/command-r-plus) and newer models.
 
-    The model can be forced into outputting JSON objects (with up to 5 levels of nesting) by setting `{ "type": "json_object" }`.
+    The model can be forced into outputting JSON objects by setting `{ "type": "json_object" }`.
 
     A [JSON Schema](https://json-schema.org/) can optionally be provided, to ensure a specific structure.
 
     **Note**: When using `{ "type": "json_object" }` your `message` should always explicitly instruct the model to generate a JSON (eg: _"Generate a JSON ..."_) . Otherwise the model may end up getting stuck generating an infinite stream of characters and eventually run out of context length.
-    **Limitation**: The parameter is not supported in RAG mode (when any of `connectors`, `documents`, `tools`, `tool_results` are provided).
+
+    **Note**: When `json_schema` is not specified, the generated object can have up to 5 layers of nesting.
+
+    **Limitation**: The parameter is not supported when used in combinations with the `documents` or `tools` parameters.
     """
 
     type: typing.Literal["json_object"] = "json_object"
diff --git a/src/cohere/types/streamed_chat_response.py b/src/cohere/types/streamed_chat_response.py
index 32e525970..2f2a6c526 100644
--- a/src/cohere/types/streamed_chat_response.py
+++ b/src/cohere/types/streamed_chat_response.py
@@ -153,6 +153,7 @@ class ToolCallsChunkStreamedChatResponse(UncheckedBaseModel):
 
     event_type: typing.Literal["tool-calls-chunk"] = "tool-calls-chunk"
     tool_call_delta: ToolCallDelta
+    text: typing.Optional[str] = None
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
diff --git a/src/cohere/types/tool_call_v2.py b/src/cohere/types/tool_call_v2.py
index e97171de7..1cd714033 100644
--- a/src/cohere/types/tool_call_v2.py
+++ b/src/cohere/types/tool_call_v2.py
@@ -9,7 +9,7 @@
 
 class ToolCallV2(UncheckedBaseModel):
     """
-    A array of tool calls to be made.
+    An array of tool calls to be made.
     """
 
     id: typing.Optional[str] = None
diff --git a/src/cohere/types/tool_message_v2.py b/src/cohere/types/tool_message_v2.py
index 7983308d1..fb69c6b40 100644
--- a/src/cohere/types/tool_message_v2.py
+++ b/src/cohere/types/tool_message_v2.py
@@ -2,14 +2,14 @@
 
 from ..core.unchecked_base_model import UncheckedBaseModel
 import pydantic
-import typing
 from .tool_message_v2content import ToolMessageV2Content
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
+import typing
 
 
 class ToolMessageV2(UncheckedBaseModel):
     """
-    A message from the system.
+    A message with Tool outputs.
     """
 
     tool_call_id: str = pydantic.Field()
@@ -17,9 +17,9 @@ class ToolMessageV2(UncheckedBaseModel):
     The id of the associated tool call that has provided the given content
     """
 
-    content: typing.Optional[ToolMessageV2Content] = pydantic.Field(default=None)
+    content: ToolMessageV2Content = pydantic.Field()
     """
-    A single or list of outputs from a tool. The content should formatted as a JSON object string, or a list of tool content blocks
+    Outputs from a tool. The content should formatted as a JSON object string, or a list of tool content blocks
     """
 
     if IS_PYDANTIC_V2:
diff --git a/src/cohere/v2/client.py b/src/cohere/v2/client.py
index 79d36ee03..3e12d7af9 100644
--- a/src/cohere/v2/client.py
+++ b/src/cohere/v2/client.py
@@ -73,12 +73,14 @@ def chat_stream(
         request_options: typing.Optional[RequestOptions] = None,
     ) -> typing.Iterator[StreamedChatResponseV2]:
         """
-        Generates a message from the model in response to a provided conversation. To learn how to use the Chat API with Streaming and RAG follow our Text Generation guides.
+        Generates a message from the model in response to a provided conversation. To learn more about the features of the Chat API follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).
+
+        Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
 
         Parameters
         ----------
         model : str
-            The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.
+            The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model.
 
         messages : ChatMessages
 
@@ -97,18 +99,18 @@ def chat_stream(
         response_format : typing.Optional[ResponseFormatV2]
 
         safety_mode : typing.Optional[V2ChatStreamRequestSafetyMode]
-            Used to select the [safety instruction](/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
+            Used to select the [safety instruction](https://docs.cohere.com/v2/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
             When `OFF` is specified, the safety instruction will be omitted.
 
             Safety modes are not yet configurable in combination with `tools`, `tool_results` and `documents` parameters.
 
-            **Note**: This parameter is only compatible with models [Command R 08-2024](/docs/command-r#august-2024-release), [Command R+ 08-2024](/docs/command-r-plus#august-2024-release) and newer.
-
-            Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
+            **Note**: This parameter is only compatible with models [Command R 08-2024](https://docs.cohere.com/v2/docs/command-r#august-2024-release), [Command R+ 08-2024](https://docs.cohere.com/v2/docs/command-r-plus#august-2024-release) and newer.
 
 
         max_tokens : typing.Optional[int]
-            The maximum number of tokens the model will generate as part of the response. Note: Setting a low value may result in incomplete generations.
+            The maximum number of tokens the model will generate as part of the response.
+
+            **Note**: Setting a low value may result in incomplete generations.
 
 
         stop_sequences : typing.Optional[typing.Sequence[str]]
@@ -399,12 +401,14 @@ def chat(
         request_options: typing.Optional[RequestOptions] = None,
     ) -> ChatResponse:
         """
-        Generates a message from the model in response to a provided conversation. To learn how to use the Chat API with Streaming and RAG follow our Text Generation guides.
+        Generates a message from the model in response to a provided conversation. To learn more about the features of the Chat API follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).
+
+        Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
 
         Parameters
         ----------
         model : str
-            The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.
+            The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model.
 
         messages : ChatMessages
 
@@ -423,18 +427,18 @@ def chat(
         response_format : typing.Optional[ResponseFormatV2]
 
         safety_mode : typing.Optional[V2ChatRequestSafetyMode]
-            Used to select the [safety instruction](/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
+            Used to select the [safety instruction](https://docs.cohere.com/v2/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
             When `OFF` is specified, the safety instruction will be omitted.
 
             Safety modes are not yet configurable in combination with `tools`, `tool_results` and `documents` parameters.
 
-            **Note**: This parameter is only compatible with models [Command R 08-2024](/docs/command-r#august-2024-release), [Command R+ 08-2024](/docs/command-r-plus#august-2024-release) and newer.
-
-            Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
+            **Note**: This parameter is only compatible with models [Command R 08-2024](https://docs.cohere.com/v2/docs/command-r#august-2024-release), [Command R+ 08-2024](https://docs.cohere.com/v2/docs/command-r-plus#august-2024-release) and newer.
 
 
         max_tokens : typing.Optional[int]
-            The maximum number of tokens the model will generate as part of the response. Note: Setting a low value may result in incomplete generations.
+            The maximum number of tokens the model will generate as part of the response.
+
+            **Note**: Setting a low value may result in incomplete generations.
 
 
         stop_sequences : typing.Optional[typing.Sequence[str]]
@@ -500,6 +504,7 @@ def chat(
             messages=[
                 ToolChatMessageV2(
                     tool_call_id="messages",
+                    content="messages",
                 )
             ],
         )
@@ -667,10 +672,10 @@ def embed(
         self,
         *,
         model: str,
+        input_type: EmbedInputType,
+        embedding_types: typing.Sequence[EmbeddingType],
         texts: typing.Optional[typing.Sequence[str]] = OMIT,
         images: typing.Optional[typing.Sequence[str]] = OMIT,
-        input_type: typing.Optional[EmbedInputType] = OMIT,
-        embedding_types: typing.Optional[typing.Sequence[EmbeddingType]] = OMIT,
         truncate: typing.Optional[V2EmbedRequestTruncate] = OMIT,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> EmbedByTypeResponse:
@@ -699,17 +704,9 @@ def embed(
             * `embed-english-light-v2.0`  1024
             * `embed-multilingual-v2.0`  768
 
-        texts : typing.Optional[typing.Sequence[str]]
-            An array of strings for the model to embed. Maximum number of texts per call is `96`. We recommend reducing the length of each text to be under `512` tokens for optimal quality.
-
-        images : typing.Optional[typing.Sequence[str]]
-            An array of image data URIs for the model to embed. Maximum number of images per call is `1`.
-
-            The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB.
-
-        input_type : typing.Optional[EmbedInputType]
+        input_type : EmbedInputType
 
-        embedding_types : typing.Optional[typing.Sequence[EmbeddingType]]
+        embedding_types : typing.Sequence[EmbeddingType]
             Specifies the types of embeddings you want to get back. Not required and default is None, which returns the Embed Floats response type. Can be one or more of the following types.
 
             * `"float"`: Use this when you want to get back the default float embeddings. Valid for all models.
@@ -718,6 +715,14 @@ def embed(
             * `"binary"`: Use this when you want to get back signed binary embeddings. Valid for only v3 models.
             * `"ubinary"`: Use this when you want to get back unsigned binary embeddings. Valid for only v3 models.
 
+        texts : typing.Optional[typing.Sequence[str]]
+            An array of strings for the model to embed. Maximum number of texts per call is `96`. We recommend reducing the length of each text to be under `512` tokens for optimal quality.
+
+        images : typing.Optional[typing.Sequence[str]]
+            An array of image data URIs for the model to embed. Maximum number of images per call is `1`.
+
+            The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB.
+
         truncate : typing.Optional[V2EmbedRequestTruncate]
             One of `NONE|START|END` to specify how the API will handle inputs longer than the maximum token length.
 
@@ -743,6 +748,8 @@ def embed(
         )
         client.v2.embed(
             model="model",
+            input_type="search_document",
+            embedding_types=["float"],
         )
         """
         _response = self._client_wrapper.httpx_client.request(
@@ -1117,12 +1124,14 @@ async def chat_stream(
         request_options: typing.Optional[RequestOptions] = None,
     ) -> typing.AsyncIterator[StreamedChatResponseV2]:
         """
-        Generates a message from the model in response to a provided conversation. To learn how to use the Chat API with Streaming and RAG follow our Text Generation guides.
+        Generates a message from the model in response to a provided conversation. To learn more about the features of the Chat API follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).
+
+        Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
 
         Parameters
         ----------
         model : str
-            The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.
+            The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model.
 
         messages : ChatMessages
 
@@ -1141,18 +1150,18 @@ async def chat_stream(
         response_format : typing.Optional[ResponseFormatV2]
 
         safety_mode : typing.Optional[V2ChatStreamRequestSafetyMode]
-            Used to select the [safety instruction](/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
+            Used to select the [safety instruction](https://docs.cohere.com/v2/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
             When `OFF` is specified, the safety instruction will be omitted.
 
             Safety modes are not yet configurable in combination with `tools`, `tool_results` and `documents` parameters.
 
-            **Note**: This parameter is only compatible with models [Command R 08-2024](/docs/command-r#august-2024-release), [Command R+ 08-2024](/docs/command-r-plus#august-2024-release) and newer.
-
-            Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
+            **Note**: This parameter is only compatible with models [Command R 08-2024](https://docs.cohere.com/v2/docs/command-r#august-2024-release), [Command R+ 08-2024](https://docs.cohere.com/v2/docs/command-r-plus#august-2024-release) and newer.
 
 
         max_tokens : typing.Optional[int]
-            The maximum number of tokens the model will generate as part of the response. Note: Setting a low value may result in incomplete generations.
+            The maximum number of tokens the model will generate as part of the response.
+
+            **Note**: Setting a low value may result in incomplete generations.
 
 
         stop_sequences : typing.Optional[typing.Sequence[str]]
@@ -1451,12 +1460,14 @@ async def chat(
         request_options: typing.Optional[RequestOptions] = None,
     ) -> ChatResponse:
         """
-        Generates a message from the model in response to a provided conversation. To learn how to use the Chat API with Streaming and RAG follow our Text Generation guides.
+        Generates a message from the model in response to a provided conversation. To learn more about the features of the Chat API follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).
+
+        Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
 
         Parameters
         ----------
         model : str
-            The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.
+            The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) (such as command-r or command-r-plus) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model.
 
         messages : ChatMessages
 
@@ -1475,18 +1486,18 @@ async def chat(
         response_format : typing.Optional[ResponseFormatV2]
 
         safety_mode : typing.Optional[V2ChatRequestSafetyMode]
-            Used to select the [safety instruction](/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
+            Used to select the [safety instruction](https://docs.cohere.com/v2/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
             When `OFF` is specified, the safety instruction will be omitted.
 
             Safety modes are not yet configurable in combination with `tools`, `tool_results` and `documents` parameters.
 
-            **Note**: This parameter is only compatible with models [Command R 08-2024](/docs/command-r#august-2024-release), [Command R+ 08-2024](/docs/command-r-plus#august-2024-release) and newer.
-
-            Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
+            **Note**: This parameter is only compatible with models [Command R 08-2024](https://docs.cohere.com/v2/docs/command-r#august-2024-release), [Command R+ 08-2024](https://docs.cohere.com/v2/docs/command-r-plus#august-2024-release) and newer.
 
 
         max_tokens : typing.Optional[int]
-            The maximum number of tokens the model will generate as part of the response. Note: Setting a low value may result in incomplete generations.
+            The maximum number of tokens the model will generate as part of the response.
+
+            **Note**: Setting a low value may result in incomplete generations.
 
 
         stop_sequences : typing.Optional[typing.Sequence[str]]
@@ -1557,6 +1568,7 @@ async def main() -> None:
                 messages=[
                     ToolChatMessageV2(
                         tool_call_id="messages",
+                        content="messages",
                     )
                 ],
             )
@@ -1727,10 +1739,10 @@ async def embed(
         self,
         *,
         model: str,
+        input_type: EmbedInputType,
+        embedding_types: typing.Sequence[EmbeddingType],
         texts: typing.Optional[typing.Sequence[str]] = OMIT,
         images: typing.Optional[typing.Sequence[str]] = OMIT,
-        input_type: typing.Optional[EmbedInputType] = OMIT,
-        embedding_types: typing.Optional[typing.Sequence[EmbeddingType]] = OMIT,
         truncate: typing.Optional[V2EmbedRequestTruncate] = OMIT,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> EmbedByTypeResponse:
@@ -1759,17 +1771,9 @@ async def embed(
             * `embed-english-light-v2.0`  1024
             * `embed-multilingual-v2.0`  768
 
-        texts : typing.Optional[typing.Sequence[str]]
-            An array of strings for the model to embed. Maximum number of texts per call is `96`. We recommend reducing the length of each text to be under `512` tokens for optimal quality.
-
-        images : typing.Optional[typing.Sequence[str]]
-            An array of image data URIs for the model to embed. Maximum number of images per call is `1`.
-
-            The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB.
-
-        input_type : typing.Optional[EmbedInputType]
+        input_type : EmbedInputType
 
-        embedding_types : typing.Optional[typing.Sequence[EmbeddingType]]
+        embedding_types : typing.Sequence[EmbeddingType]
             Specifies the types of embeddings you want to get back. Not required and default is None, which returns the Embed Floats response type. Can be one or more of the following types.
 
             * `"float"`: Use this when you want to get back the default float embeddings. Valid for all models.
@@ -1778,6 +1782,14 @@ async def embed(
             * `"binary"`: Use this when you want to get back signed binary embeddings. Valid for only v3 models.
             * `"ubinary"`: Use this when you want to get back unsigned binary embeddings. Valid for only v3 models.
 
+        texts : typing.Optional[typing.Sequence[str]]
+            An array of strings for the model to embed. Maximum number of texts per call is `96`. We recommend reducing the length of each text to be under `512` tokens for optimal quality.
+
+        images : typing.Optional[typing.Sequence[str]]
+            An array of image data URIs for the model to embed. Maximum number of images per call is `1`.
+
+            The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB.
+
         truncate : typing.Optional[V2EmbedRequestTruncate]
             One of `NONE|START|END` to specify how the API will handle inputs longer than the maximum token length.
 
@@ -1808,6 +1820,8 @@ async def embed(
         async def main() -> None:
             await client.v2.embed(
                 model="model",
+                input_type="search_document",
+                embedding_types=["float"],
             )