diff --git a/poetry.lock b/poetry.lock
index afd103740..41a716559 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,112 +13,98 @@ files = [
 
 [[package]]
 name = "aiohttp"
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+version = "3.11.0"
 description = "Async http client/server framework (asyncio)"
 optional = false
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+python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.12.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -150,13 +136,13 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.37.1"
+version = "0.39.0"
 description = "The official Python library for the anthropic API"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "anthropic-0.39.0.tar.gz", hash = "sha256:94671cc80765f9ce693f76d63a97ee9bef4c2d6063c044e983d21a2e262f63ba"},
 ]
 
 [package.dependencies]
@@ -166,7 +152,6 @@ httpx = ">=0.23.0,<1"
 jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
-tokenizers = ">=0.13.0"
 typing-extensions = ">=4.7,<5"
 
 [package.extras]
@@ -428,13 +413,13 @@ test = ["flake8", "isort", "pytest"]
 
 [[package]]
 name = "cerebras-cloud-sdk"
-version = "1.8.0"
+version = "1.10.0"
 description = "The official Python library for the cerebras API"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -665,13 +650,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cohere"
-version = "5.11.1"
+version = "5.11.3"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
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-    {file = "cohere-5.11.1.tar.gz", hash = "sha256:821e20593def7796d314be9bcba87e9ecf69dc6ef17172f842447275f8679d0f"},
+    {file = "cohere-5.11.3-py3-none-any.whl", hash = "sha256:96a0414af083337610e2f6de18f53ffaf5cb3f7aee763605d493c95ff981ad9f"},
+    {file = "cohere-5.11.3.tar.gz", hash = "sha256:a6587e7ef66ab377f37fdc13e5679375c4a45aef9d2047662a3e7737df7c6599"},
 ]
 
 [package.dependencies]
@@ -841,13 +826,13 @@ test = ["flake8", "isort", "pytest"]
 
 [[package]]
 name = "datasets"
-version = "3.0.2"
+version = "3.1.0"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "datasets-3.0.2-py3-none-any.whl", hash = "sha256:220bfbea0be9bf81d121bd2ac76fe4ef3f7defe0e8586ce1e7f66dcaaf69f88d"},
-    {file = "datasets-3.0.2.tar.gz", hash = "sha256:07204c389ce0491ef3ad50dd79966d3fd40422a12b831cf84a117323ac74fbc1"},
+    {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"},
+    {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"},
 ]
 
 [package.dependencies]
@@ -869,15 +854,15 @@ xxhash = "*"
 [package.extras]
 audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"]
+dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"]
 docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
 quality = ["ruff (>=0.3.0)"]
 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.6.0)"]
 tensorflow-gpu = ["tensorflow (>=2.6.0)"]
-tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
-tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=9.4.0)"]
 
@@ -1038,13 +1023,13 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fastapi"
-version = "0.115.3"
+version = "0.115.5"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.115.3-py3-none-any.whl", hash = "sha256:8035e8f9a2b0aa89cea03b6c77721178ed5358e1aea4cd8570d9466895c0638c"},
-    {file = "fastapi-0.115.3.tar.gz", hash = "sha256:c091c6a35599c036d676fa24bd4a6e19fa30058d93d950216cdc672881f6f7db"},
+    {file = "fastapi-0.115.5-py3-none-any.whl", hash = "sha256:596b95adbe1474da47049e802f9a65ab2ffa9c2b07e7efee70eb8a66c9f2f796"},
+    {file = "fastapi-0.115.5.tar.gz", hash = "sha256:0e7a4d0dc0d01c68df21887cce0945e72d3c48b9f4f79dfe7a7d53aa08fbb289"},
 ]
 
 [package.dependencies]
@@ -1134,13 +1119,13 @@ typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "fireworks-ai"
-version = "0.15.7"
+version = "0.15.8"
 description = "Python client library for the Fireworks.ai Generative AI Platform"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "fireworks_ai-0.15.7-py3-none-any.whl", hash = "sha256:44d6985e245b70e3417c5800a3ef1a1710e2827469f42dab356a82d17d44a45e"},
-    {file = "fireworks_ai-0.15.7.tar.gz", hash = "sha256:70193f1f81954f49a88ba85d77f4a7f42bdb5ac5ffc9f9aa72ba83aef20df22f"},
+    {file = "fireworks_ai-0.15.8-py3-none-any.whl", hash = "sha256:7053b571b33948df341f453e878ffef9cc29a58963ad65fdf49607276448031a"},
+    {file = "fireworks_ai-0.15.8.tar.gz", hash = "sha256:ebd86cb582d30e30db018f5087ac923958f74f1e7ad3bdc955c83ef7c5e0fc2d"},
 ]
 
 [package.dependencies]
@@ -1151,7 +1136,7 @@ Pillow = "*"
 pydantic = "*"
 
 [package.extras]
-flumina = ["gitignore-parser", "openapi-spec-validator", "prance", "tabulate", "torch", "tqdm"]
+flumina = ["fastapi", "gitignore-parser", "openapi-spec-validator", "prance", "safetensors", "tabulate", "torch", "tqdm"]
 
 [[package]]
 name = "frozenlist"
@@ -1437,13 +1422,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.70.0"
+version = "1.72.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.70.0.tar.gz", hash = "sha256:e8edef6dbc7911380d0ea55c47544e799f62b891cb1a83b504ca1c09fff9884b"},
-    {file = "google_cloud_aiplatform-1.70.0-py2.py3-none-any.whl", hash = "sha256:690e6041f03d3aa85102ac3f316c958d6f43a99aefb7fb3f8938dee56d08abd9"},
+    {file = "google_cloud_aiplatform-1.72.0-py2.py3-none-any.whl", hash = "sha256:a75dbeda47eaecb7bb2b1801b9c8dfe72a14f76a649525cdff496646214a7afb"},
+    {file = "google_cloud_aiplatform-1.72.0.tar.gz", hash = "sha256:50611d3d51ff92d80f866e5e0f145daac9d943499c6d715250a9947eca4774f2"},
 ]
 
 [package.dependencies]
@@ -1461,13 +1446,13 @@ shapely = "<3.0.0dev"
 
 [package.extras]
 autologging = ["mlflow (>=1.27.0,<=2.16.0)"]
-cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
-evaluation = ["pandas (>=1.0.0,<2.2.0)", "tqdm (>=4.23.0)"]
-full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
-langchain = ["langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "orjson (<=3.10.6)", "tenacity (<=8.3)"]
-langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "orjson (<=3.10.6)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"]
+evaluation = ["pandas (>=1.0.0)", "tqdm (>=4.23.0)"]
+full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+langchain = ["langchain (>=0.1.16,<0.4)", "langchain-core (<0.4)", "langchain-google-vertexai (<3)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)"]
+langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.4)", "langchain-core (<0.4)", "langchain-google-vertexai (<3)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist"]
 lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (>=5.3.1,<7)"]
@@ -1476,8 +1461,8 @@ private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"]
 ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train]", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
 reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
-tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
-testing = ["bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
+tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+testing = ["aiohttp", "bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
 tokenization = ["sentencepiece (>=0.2.0)"]
 vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
@@ -1788,13 +1773,13 @@ colorama = ">=0.4"
 
 [[package]]
 name = "groq"
-version = "0.11.0"
+version = "0.12.0"
 description = "The official Python library for the groq API"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "groq-0.11.0-py3-none-any.whl", hash = "sha256:e328531c979542e563668c62260aec13b43a6ee0ca9e2fb22dff1d26f8c8ce54"},
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 [package.dependencies]
@@ -2226,84 +2211,84 @@ i18n = ["Babel (>=2.7)"]
 
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 [[package]]
@@ -2472,13 +2457,13 @@ lxml = {version = ">=4.4.2", extras = ["html-clean"]}
 
 [[package]]
 name = "litellm"
-version = "1.50.4"
+version = "1.52.6"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2487,7 +2472,7 @@ click = "*"
 importlib-metadata = ">=6.8.0"
 jinja2 = ">=3.1.2,<4.0.0"
 jsonschema = ">=4.22.0,<5.0.0"
-openai = ">=1.52.0"
+openai = ">=1.54.0"
 pydantic = ">=2.0.0,<3.0.0"
 python-dotenv = ">=0.2.0"
 requests = ">=2.31.0,<3.0.0"
@@ -2953,13 +2938,13 @@ pygments = ">2.12.0"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.42"
+version = "9.5.44"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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 [[package]]
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-description = "A MkDocs plugin for dynamic page redirects to prevent broken links."
+version = "1.2.2"
+description = "A MkDocs plugin for dynamic page redirects to prevent broken links"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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-[package.extras]
-dev = ["autoflake", "black", "isort", "pytest", "twine (>=1.13.0)"]
-release = ["twine (>=1.13.0)"]
-test = ["autoflake", "black", "isort", "pytest"]
-
 [[package]]
 name = "mkdocs-rss-plugin"
 version = "1.16.0"
@@ -3054,13 +3034,13 @@ test = ["feedparser (>=6.0.11,<6.1)", "jsonfeed-util (>=1.1.2,<2)", "mkdocs-mate
 
 [[package]]
 name = "mkdocstrings"
-version = "0.26.2"
+version = "0.27.0"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -3467,13 +3447,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.52.2"
+version = "1.54.4"
 description = "The official Python library for the openai API"
 optional = false
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3668,13 +3648,13 @@ ptyprocess = ">=0.5"
 
 [[package]]
 name = "phonenumbers"
-version = "8.13.48"
+version = "8.13.49"
 description = "Python version of Google's common library for parsing, formatting, storing and validating international phone numbers."
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -4230,20 +4210,21 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-extra-types"
-version = "2.9.0"
+version = "2.10.0"
 description = "Extra Pydantic types."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -6011,4 +5992,4 @@ vertexai = ["google-cloud-aiplatform", "jsonref"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "e1a99439af86fa4689c019b6530664f9b3eb45535eac738e342446bc1c33d849"
+content-hash = "0b499b3802feb505141fd4608436d4594d756f1c0982e24691deb643d22df466"
diff --git a/pyproject.toml b/pyproject.toml
index 8638e3bdd..6a9d881cc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,7 @@ rich = "^13.7.0"
 aiohttp = "^3.9.1"
 tenacity = ">=9.0.0,<10.0.0"
 pydantic-core = "^2.18.0"
-jiter = ">=0.5,<0.7"
+jiter = ">=0.5,<0.8"
 jinja2 = "^3.1.4"
 requests = "^2.32.3"
 
@@ -30,9 +30,9 @@ pandas = { version = "^2.2.0", optional = true }
 tabulate = { version = "^0.9.0", optional = true }
 pydantic_extra_types = { version = "^2.6.0", optional = true }
 litellm = { version = "^1.35.31", optional = true }
-anthropic = { version = ">=0.36.2,<0.38.0", optional = true }
+anthropic = { version = ">=0.36.2,<0.40.0", optional = true }
 xmltodict = { version = ">=0.13,<0.15", optional = true }
-groq = { version = ">=0.4.2,<0.12.0", optional = true }
+groq = { version = ">=0.4.2,<0.13.0", optional = true }
 cohere = { version = "^5.1.8", optional = true }
 mistralai = { version = "^1.0.3", optional = true }
 google-generativeai = { version = "^0.8.2", optional = true }
@@ -78,7 +78,7 @@ jsonref = "^1.1.0"
 [tool.poetry.group.docs.dependencies]
 mkdocs = "^1.4.3"
 mkdocs-material = { extras = ["imaging"], version = "^9.5.9" }
-mkdocstrings = "^0.26.1"
+mkdocstrings = ">=0.26.1,<0.28.0"
 mkdocstrings-python = "^1.11.1"
 pytest-examples = "^0.0.13"
 mkdocs-jupyter = ">=0.24.6,<0.26.0"
@@ -87,7 +87,7 @@ mkdocs-minify-plugin = "^0.8.0"
 mkdocs-redirects = "^1.2.1"
 
 [tool.poetry.group.anthropic.dependencies]
-anthropic = ">=0.36.2,<0.38.0"
+anthropic = ">=0.36.2,<0.40.0"
 
 [tool.poetry.group.test-docs.dependencies]
 fastapi = ">=0.109.2,<0.116.0"
@@ -97,9 +97,9 @@ pandas = "^2.2.0"
 tabulate = "^0.9.0"
 pydantic_extra_types = "^2.6.0"
 litellm = "^1.35.31"
-anthropic = ">=0.36.2,<0.38.0"
+anthropic = ">=0.36.2,<0.40.0"
 xmltodict = ">=0.13,<0.15"
-groq = ">=0.4.2,<0.12.0"
+groq = ">=0.4.2,<0.13.0"
 phonenumbers = "^8.13.33"
 cohere = "^5.1.8"
 mistralai = "^1.0.3"
diff --git a/requirements-examples.txt b/requirements-examples.txt
index 6bc8542f2..52e490308 100644
--- a/requirements-examples.txt
+++ b/requirements-examples.txt
@@ -3,9 +3,9 @@ pydantic
 docstring-parser
 rich
 aiohttp
-ruff==0.7.1
+ruff==0.7.3
 pre-commit==4.0.1
-pyright==1.1.386
+pyright==1.1.389
 typer
 cohere
 datasets
diff --git a/requirements.txt b/requirements.txt
index fd1cc9899..d5b7113ec 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,8 +3,8 @@ pydantic
 docstring-parser
 rich
 aiohttp
-ruff==0.7.1
+ruff==0.7.3
 pre-commit==4.0.1
-pyright==1.1.386
+pyright==1.1.389
 typer
 cohere
\ No newline at end of file