diff --git a/poetry.lock b/poetry.lock
index 82cb5fbe..2e8d557b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,99 +1,99 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.3.4"
+version = "2.3.5"
 description = "Happy Eyeballs for asyncio"
 optional = false
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 files = [
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 ]
 
 [[package]]
 name = "aiohttp"
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 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -134,13 +134,13 @@ files = [
 
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 [[package]]
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 name = "beautifulsoup4"
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 [package.dependencies]
@@ -297,17 +297,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.34.153"
+version = "1.34.158"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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+botocore = ">=1.34.158,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -316,13 +316,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.153"
+version = "1.34.158"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -331,7 +331,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.20.11)"]
+crt = ["awscrt (==0.21.2)"]
 
 [[package]]
 name = "certifi"
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 django-crispy-forms = ">=1.9"
 
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 [[package]]
 name = "dataclasses-json"
 version = "0.6.7"
@@ -562,13 +511,13 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "datamodel-code-generator"
-version = "0.25.8"
+version = "0.25.9"
 description = "Datamodel Code Generator"
 optional = false
 python-versions = "<4.0,>=3.7"
 files = [
-    {file = "datamodel_code_generator-0.25.8-py3-none-any.whl", hash = "sha256:f9b216efad84d8dcb517273d2728875b6052b7e8dc4e5c13a597441cef236f6e"},
-    {file = "datamodel_code_generator-0.25.8.tar.gz", hash = "sha256:b7838122b8133dae6e46f36a1cf25c0ccc66745da057988f490d00ab71121de7"},
+    {file = "datamodel_code_generator-0.25.9-py3-none-any.whl", hash = "sha256:9e0324233123d6e39a35bc0004771956935889a974aacfd7a0651de11d2219a9"},
+    {file = "datamodel_code_generator-0.25.9.tar.gz", hash = "sha256:65ca9807d8edbd88a7f7931c10f4bc1c08bd9bbc5bb0508418a2b6a16590eb65"},
 ]
 
 [package.dependencies]
@@ -601,17 +550,17 @@ files = [
 
 [[package]]
 name = "django"
-version = "5.0.7"
+version = "5.1"
 description = "A high-level Python web framework that encourages rapid development and clean, pragmatic design."
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "Django-5.0.7-py3-none-any.whl", hash = "sha256:f216510ace3de5de01329463a315a629f33480e893a9024fc93d8c32c22913da"},
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+    {file = "Django-5.1-py3-none-any.whl", hash = "sha256:d3b811bf5371a26def053d7ee42a9df1267ef7622323fe70a601936725aa4557"},
+    {file = "Django-5.1.tar.gz", hash = "sha256:848a5980e8efb76eea70872fb0e4bc5e371619c70fffbe48e3e1b50b2c09455d"},
 ]
 
 [package.dependencies]
-asgiref = ">=3.7.0,<4"
+asgiref = ">=3.8.1,<4"
 sqlparse = ">=0.3.1"
 tzdata = {version = "*", markers = "sys_platform == \"win32\""}
 
@@ -910,13 +859,13 @@ doc = ["Sphinx", "sphinx-rtd-theme", "sphinxcontrib-spelling"]
 
 [[package]]
 name = "faker"
-version = "26.1.0"
+version = "26.3.0"
 description = "Faker is a Python package that generates fake data for you."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "Faker-26.1.0-py3-none-any.whl", hash = "sha256:e8c5ef795223e945d9166aea3c0ecaf85ac54b4ade2af068d8e3c6524c2c0aa7"},
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+    {file = "Faker-26.3.0-py3-none-any.whl", hash = "sha256:97fe1e7e953dd640ca2cd4dfac4db7c4d2432dd1b7a244a3313517707f3b54e9"},
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 ]
 
 [package.dependencies]
@@ -1193,32 +1142,21 @@ tornado = ["tornado (>=0.2)"]
 
 [[package]]
 name = "hdbscan"
-version = "0.8.37"
+version = "0.8.38.post1"
 description = "Clustering based on density with variable density clusters"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "hdbscan-0.8.38.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aaf515c5e3e22b61c5200271a8fc9219c1851abdc2dcf89231cd5142f9abb1c1"},
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+    {file = "hdbscan-0.8.38.post1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21cb0d7c453ba96fb3b1f1595385a6485e51c4e7c16a73337b47f2f7075c7f16"},
+    {file = "hdbscan-0.8.38.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9da363d479d33e61e743affa53675e17e571ab261c3674b3764b478b06532c4"},
+    {file = "hdbscan-0.8.38.post1.tar.gz", hash = "sha256:5fbdba2ffb5a99a8b52fa2915658ced6bed59f4d0d5f40b1c673646c928aac0b"},
 ]
 
 [package.dependencies]
-cython = ">=0.27,<3"
 joblib = ">=1.0"
-numpy = ">=1.20,<2"
+numpy = ">=1.20,<3"
 scikit-learn = ">=0.20"
 scipy = ">=1.0"
 
@@ -1587,18 +1525,18 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-aws"
-version = "0.1.15"
+version = "0.1.16"
 description = "An integration package connecting AWS and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_aws-0.1.15-py3-none-any.whl", hash = "sha256:2915c766a5d2292a8f514e293ad0a1e185d0e05f178133743ea3ec8fc555ad28"},
-    {file = "langchain_aws-0.1.15.tar.gz", hash = "sha256:0e8e9aa8b54f9d17fc9ddbb5576136116b88afa696cc8ed406f450c57567f3e0"},
+    {file = "langchain_aws-0.1.16-py3-none-any.whl", hash = "sha256:b4722a13954a6e330c4b1e7b85a9884bfe789ecc24e11f0e83aa5c294d95093e"},
+    {file = "langchain_aws-0.1.16.tar.gz", hash = "sha256:cb479a565d0450c9bfba9d2336973191beb97574a519ddd376713addd5b9226c"},
 ]
 
 [package.dependencies]
 boto3 = ">=1.34.131,<1.35.0"
-langchain-core = ">=0.2.28,<0.3"
+langchain-core = ">=0.2.29,<0.3"
 numpy = ">=1,<2"
 
 [[package]]
@@ -1626,20 +1564,20 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.28"
+version = "0.2.29"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.28-py3-none-any.whl", hash = "sha256:0728761d02ce696a1c6a57cfad18b874cf6c9566ba86120e2f542e442cb77a06"},
-    {file = "langchain_core-0.2.28.tar.gz", hash = "sha256:589f907fcb1f15acea55ea3f451a37faaa61c2e68b3d39d436cf73ca3dd23ef5"},
+    {file = "langchain_core-0.2.29-py3-none-any.whl", hash = "sha256:846c04a3bb72e409a9b928e0eb3ea1762e1473f2c4fb6df2596fbd7b3ab75973"},
+    {file = "langchain_core-0.2.29.tar.gz", hash = "sha256:491324745a7afee5a7b285c3904edd9dd0c6efa7daf26b92fec6e84a2d2f5d10"},
 ]
 
 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
 langsmith = ">=0.1.75,<0.2.0"
 packaging = ">=23.2,<25"
-pydantic = {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}
+pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 typing-extensions = ">=4.7"
@@ -1660,18 +1598,18 @@ langchain-core = ">=0.2.10,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.95"
+version = "0.1.99"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.95-py3-none-any.whl", hash = "sha256:7f490af411597f87af7893b0a42519c442d6ca2517483344c4f55ccdc3136dde"},
-    {file = "langsmith-0.1.95.tar.gz", hash = "sha256:2dc987a640939c0eccb41b7acc31216a7c9b38e1deb62079d1ecaed0897eea67"},
+    {file = "langsmith-0.1.99-py3-none-any.whl", hash = "sha256:ef8d1d74a2674c514aa429b0171a9fbb661207dc3835142cca0e8f1bf97b26b0"},
+    {file = "langsmith-0.1.99.tar.gz", hash = "sha256:b5c6a1f158abda61600a4a445081ee848b4a28b758d91f2793dc02aeffafcaf1"},
 ]
 
 [package.dependencies]
 orjson = ">=3.9.14,<4.0.0"
-pydantic = {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}
+pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 requests = ">=2,<3"
 
 [[package]]
@@ -2229,7 +2167,6 @@ description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_aarch64.whl", hash = "sha256:84fb38465a5bc7c70cbc320cfd0963eb302ee25a5e939e9f512bbba55b6072fb"},
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 ]
@@ -2247,64 +2184,68 @@ files = [
 
 [[package]]
 name = "orjson"
-version = "3.10.6"
+version = "3.10.7"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -3215,114 +3158,114 @@ files = [
 
 [[package]]
 name = "rpds-py"
-version = "0.19.1"
+version = "0.20.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
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+    {file = "SQLAlchemy-2.0.32-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85a01b5599e790e76ac3fe3aa2f26e1feba56270023d6afd5550ed63c68552b3"},
+    {file = "SQLAlchemy-2.0.32-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aaf04784797dcdf4c0aa952c8d234fa01974c4729db55c45732520ce12dd95b4"},
+    {file = "SQLAlchemy-2.0.32-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:4488120becf9b71b3ac718f4138269a6be99a42fe023ec457896ba4f80749525"},
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+    {file = "SQLAlchemy-2.0.32-cp39-cp39-win32.whl", hash = "sha256:0d322cc9c9b2154ba7e82f7bf25ecc7c36fbe2d82e2933b3642fc095a52cfc78"},
+    {file = "SQLAlchemy-2.0.32-cp39-cp39-win_amd64.whl", hash = "sha256:7dd8583df2f98dea28b5cd53a1beac963f4f9d087888d75f22fcc93a07cf8d84"},
+    {file = "SQLAlchemy-2.0.32-py3-none-any.whl", hash = "sha256:e567a8793a692451f706b363ccf3c45e056b67d90ead58c3bc9471af5d212202"},
+    {file = "SQLAlchemy-2.0.32.tar.gz", hash = "sha256:c1b88cc8b02b6a5f0efb0345a03672d4c897dc7d92585176f88c67346f565ea8"},
 ]
 
 [package.dependencies]
@@ -3795,13 +3748,13 @@ doc = ["sphinx"]
 
 [[package]]
 name = "sympy"
-version = "1.13.1"
+version = "1.13.2"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"},
-    {file = "sympy-1.13.1.tar.gz", hash = "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f"},
+    {file = "sympy-1.13.2-py3-none-any.whl", hash = "sha256:c51d75517712f1aed280d4ce58506a4a88d635d6b5dd48b39102a7ae1f3fcfe9"},
+    {file = "sympy-1.13.2.tar.gz", hash = "sha256:401449d84d07be9d0c7a46a64bd54fe097667d5e7181bfe67ec777be9e01cb13"},
 ]
 
 [package.dependencies]
@@ -4064,13 +4017,13 @@ optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "tqdm"
-version = "4.66.4"
+version = "4.66.5"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
-    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
+    {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
+    {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
 ]
 
 [package.dependencies]
@@ -4084,13 +4037,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.43.3"
+version = "4.44.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.43.3-py3-none-any.whl", hash = "sha256:6552beada5d826c25ff9b79139d237ab9050c6ea96b73d7fd2f8a8ba23ee76a4"},
-    {file = "transformers-4.43.3.tar.gz", hash = "sha256:820c5b192bb1bf47250802901a8f0bf581e06b8fded89179d4ef08a1e903ee1c"},
+    {file = "transformers-4.44.0-py3-none-any.whl", hash = "sha256:ea0ff72def71e9f4812d9414d4803b22681b1617aa6f511bd51cfff2b44a6fca"},
+    {file = "transformers-4.44.0.tar.gz", hash = "sha256:75699495e30b7635ca444d8d372e138c687ab51a875b387e33f1fb759c37f196"},
 ]
 
 [package.dependencies]
@@ -4113,10 +4066,10 @@ audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 benchmark = ["optimum-benchmark (>=0.2.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
-deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -4127,17 +4080,17 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.4.4)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
-ruff = ["ruff (==0.4.4)"]
+ruff = ["ruff (==0.5.1)"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
 serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -4301,13 +4254,13 @@ testing = ["coverage (>=5.0)", "pytest", "pytest-cov"]
 
 [[package]]
 name = "webcolors"
-version = "24.6.0"
+version = "24.8.0"
 description = "A library for working with the color formats defined by HTML and CSS."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "webcolors-24.6.0-py3-none-any.whl", hash = "sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1"},
-    {file = "webcolors-24.6.0.tar.gz", hash = "sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b"},
+    {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"},
+    {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"},
 ]
 
 [package.extras]
@@ -4469,4 +4422,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "3.12.3"
-content-hash = "7ca098b25ba35e5fd534ff1442ce3acab2f5e078f370f94e616a9e80f322e4c1"
+content-hash = "e3c7b3e7a85f5c97cb54d04725608f2d1727915614137ae3e32c4af33a746869"
diff --git a/pyproject.toml b/pyproject.toml
index d703a8bd..c3419298 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,7 +12,6 @@ readme = "README.md"
 [tool.pytest.ini_options]
 DJANGO_SETTINGS_MODULE = "consultation_analyser.settings.test"
 filterwarnings = [
-  "ignore::django.utils.deprecation.RemovedInDjango51Warning:.*compressor.*",
   "ignore::pydantic.warnings.PydanticDeprecatedSince20",
   "ignore::FutureWarning:.*huggingface_hub.*",
   "ignore::SyntaxWarning:.*sentence_transformers.*",
@@ -20,7 +19,7 @@ filterwarnings = [
 
 [tool.poetry.dependencies]
 python = "3.12.3"
-django = "^5.0.7"
+django = "^5.1"
 django-environ = "^0.11.2"
 psycopg = "^3.2.1"
 django-compressor = "^4.5"
@@ -29,11 +28,11 @@ govuk-frontend-jinja = "^3.0.0"
 pydot = "^3.0.1"
 gunicorn = "^23.0.0"
 whitenoise = "^6.7.0"
-boto3 = "^1.34.153"
+boto3 = "^1.34.158"
 pydantic = "^2.8.2"
-datamodel-code-generator = "^0.25.8"
+datamodel-code-generator = "^0.25.9"
 langchain = "^0.2"
-hdbscan = "^0.8.37"
+hdbscan = "^0.8.38"
 sentence-transformers = "^3.0.1"
 bertopic = "^0.16.2"
 scikit-learn = "^1.5.1"
@@ -53,7 +52,7 @@ tiktoken = "^0.7.0"
 langchain-community = "^0.2.11"
 ijson = "^3.3.0"
 psutil = "^6.0.0"
-langchain-aws = "^0.1.15"
+langchain-aws = "^0.1.16"
 pytest-random-order = "^1.1.1"
 django-rq = "^2.10.2"
 django-redis = "^5.4.0"
@@ -61,7 +60,7 @@ honcho = "^1.1.0"
 django-storages = "^1.14.4"
 
 [tool.poetry.group.development.dependencies]
-ruff = "^0.5.6"
+ruff = "^0.5.7"
 pre-commit = "^3.8.0"
 factory_boy = "^3.3.0"
 django-extensions = "^3.2.3"