From 4f4fa52b64ce558801f1c372137a1a7aa523a30f Mon Sep 17 00:00:00 2001
From: Kalyan Chakravarthy <chakravarthik27@gmail.com>
Date: Wed, 12 Aug 2026 21:41:09 +0530
Subject: [PATCH 1/3] chore: updated the poetry.lock

---
 poetry.lock | 2383 +++++++++++++++++++++++++++------------------------
 1 file changed, 1260 insertions(+), 1123 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index d72f1c588..61f59e596 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -81,132 +81,132 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.14.1"
+version = "3.14.3"
 description = "Async http client/server framework (asyncio)"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\" or extra == \"evaluate\" or extra == \"transformers\" or extra == \"datasets\" or extra == \"cohere\" or extra == \"openai\" or extra == \"ai21\" or extra == \"llms\" or extra == \"ollama-sdk\") or extra == \"evaluate\" or extra == \"transformers\" or extra == \"datasets\" or extra == \"cohere\" or extra == \"mlflow\" or extra == \"openai\" or extra == \"ai21\" or extra == \"databricks\" or extra == \"llms\" or extra == \"ollama-sdk\""
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 [package.dependencies]
@@ -257,15 +257,15 @@ typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
 
 [[package]]
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 python-versions = ">=3.10"
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 [package.dependencies]
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 [[package]]
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 [[package]]
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 [[package]]
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 [[package]]
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 optional = false
 python-versions = ">=3.11"
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 [package.dependencies]
@@ -544,18 +534,18 @@ tui = ["textual", "textual-plotext"]
 
 [[package]]
 name = "boto3"
-version = "1.43.51"
+version = "1.43.69"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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 [package.dependencies]
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+botocore = ">=1.43.69,<1.44.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.19.0,<0.20.0"
 
@@ -564,14 +554,14 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.43.51"
+version = "1.43.69"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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 [package.dependencies]
@@ -584,15 +574,15 @@ crt = ["awscrt (==0.36.0)"]
 
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+version = "7.1.7"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
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 [[package]]
@@ -610,124 +600,124 @@ files = [
 
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-version = "2026.6.17"
+version = "2026.7.22"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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 python-versions = ">=3.10"
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 [[package]]
@@ -1054,103 +1123,133 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
 
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 [package.extras]
@@ -1158,62 +1257,59 @@ toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
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 ]
 
 [package.dependencies]
@@ -1344,21 +1440,20 @@ memory = ["psycopg[binary,pool] (>=3.2.10)", "sqlalchemy[asyncio] (>=2.0.0)"]
 
 [[package]]
 name = "databricks-ai-search"
-version = "0.76"
+version = "0.78"
 description = "Databricks AI Search Client (formerly Vector Search)"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
 markers = "python_version == \"3.12\" and extra == \"databricks\""
 files = [
-    {file = "databricks_ai_search-0.76-py3-none-any.whl", hash = "sha256:2cb7c8ed21f9a97af259d3031204fd6091601f31640aeabf8942af70cf223ea5"},
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 ]
 
 [package.dependencies]
 deprecation = ">=2.1.0,<3.0"
 httpx = ">=0.28.0,<1.0"
 mlflow-skinny = ">=3.10.1,<4.0"
-protobuf = ">=5.29.5,<6.0"
 requests = ">=2.32.5,<3.0"
 
 [[package]]
@@ -1401,21 +1496,21 @@ urllib3 = ">=1.26.7,<3"
 
 [[package]]
 name = "databricks-connect"
-version = "18.3.2"
+version = "19.0.0"
 description = "Databricks Connect Client"
 optional = true
 python-versions = "==3.12.*"
 groups = ["main"]
 markers = "python_version == \"3.12\" and extra == \"databricks\""
 files = [
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 ]
 
 [package.dependencies]
-databricks-sdk = ">=0.93.0,<1"
-googleapis-common-protos = ">=1.65.0,<2"
-grpcio = ">=1.67.0,<2"
-grpcio-status = ">=1.67.0,<2"
+databricks-sdk = ">=0.122.0,<1"
+googleapis-common-protos = ">=1.71.0,<2"
+grpcio = ">=1.76.0,<2"
+grpcio-status = ">=1.76.0,<2"
 numpy = ">=1.15,<3"
 packaging = ">=23.2"
 pandas = ">=1.0.5,<3"
@@ -1426,12 +1521,12 @@ six = "*"
 zstandard = ">=0.23.0,<1"
 
 [package.extras]
-connect = ["googleapis-common-protos (>=1.65.0)", "grpcio (>=1.67.0)", "grpcio-status (>=1.67.0)", "numpy (>=1.21)", "pandas (>=1.0.5)", "pyarrow (>=11.0.0)", "zstandard (>=0.23.0)"]
-ml = ["numpy (>=1.21)"]
-mllib = ["numpy (>=1.21)"]
-pandas-on-spark = ["numpy (>=1.21)", "pandas (>=1.0.5,<3)", "pyarrow (>=11.0.0)"]
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-sql = ["numpy (>=1.21)", "pandas (>=1.0.5)", "pyarrow (>=11.0.0)"]
+connect = ["googleapis-common-protos (>=1.71.0)", "grpcio (>=1.76.0)", "grpcio-status (>=1.76.0)", "numpy (>=1.23.2)", "pandas (>=1.0.5)", "pyarrow (>=11.0.0)", "zstandard (>=0.23.0)"]
+ml = ["numpy (>=1.23.2)"]
+mllib = ["numpy (>=1.23.2)"]
+pandas-on-spark = ["numpy (>=1.23.2)", "pandas (>=1.0.5,<3)", "pyarrow (>=11.0.0)"]
+pipelines = ["googleapis-common-protos (>=1.71.0)", "grpcio (>=1.76.0)", "grpcio-status (>=1.76.0)", "numpy (>=1.23.2)", "pandas (>=1.0.5)", "pyarrow (>=11.0.0)", "pyyaml (>=3.11)", "zstandard (>=0.23.0)"]
+sql = ["numpy (>=1.23.2)", "pandas (>=1.0.5)", "pyarrow (>=11.0.0)"]
 
 [[package]]
 name = "databricks-langchain"
@@ -1460,15 +1555,15 @@ integration = ["langgraph (>=0.2.27)", "pytest-timeout (>=2.3.1)"]
 
 [[package]]
 name = "databricks-sdk"
-version = "0.121.0"
+version = "0.127.0"
 description = "Databricks SDK for Python (Beta)"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
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 ]
 
 [package.dependencies]
@@ -1484,23 +1579,21 @@ openai = ["httpx", "langchain-openai", "openai"]
 
 [[package]]
 name = "databricks-vectorsearch"
-version = "0.75"
+version = "0.66"
 description = "Databricks Vector Search Client"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
 markers = "python_version == \"3.12\" and extra == \"databricks\""
 files = [
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+    {file = "databricks_vectorsearch-0.66-py3-none-any.whl", hash = "sha256:ca71ecb29687c0444fd3c1f2053dd250c2296b8a3e277f87231d66c7e85533bd"},
 ]
 
 [package.dependencies]
-databricks-ai-search = ">=0.73,<1.0"
-deprecation = ">=2.1.0,<3.0"
-httpx = ">=0.28.0,<1.0"
-mlflow-skinny = ">=3.10.1,<4.0"
-protobuf = ">=5.29.5,<6.0"
-requests = ">=2.32.5,<3.0"
+deprecation = ">=2"
+mlflow-skinny = ">=2.11.3,<4"
+protobuf = ">=3.12.0,<7"
+requests = ">=2"
 
 [[package]]
 name = "dataclasses"
@@ -1517,21 +1610,21 @@ files = [
 
 [[package]]
 name = "datasets"
-version = "5.0.0"
+version = "5.0.1"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = true
 python-versions = ">=3.10.0"
 groups = ["main"]
 markers = "extra == \"evaluate\" or extra == \"transformers\" or extra == \"datasets\""
 files = [
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+    {file = "datasets-5.0.1-py3-none-any.whl", hash = "sha256:9fbf73688f8c18f7529b4fe592abd04015f81d1e58001e4bac73ffb2b39d7cc4"},
+    {file = "datasets-5.0.1.tar.gz", hash = "sha256:ce22bb851efd7494f08aad33b940803784434f6e77763d00679a0dc45fcf686a"},
 ]
 
 [package.dependencies]
 dill = ">=0.3.0,<0.4.2"
 filelock = "*"
-fsspec = {version = ">=2023.1.0,<=2026.4.0", extras = ["http"]}
+fsspec = {version = ">=2023.1.0,<=2026.6.0", extras = ["http"]}
 httpx = "<1.0.0"
 huggingface-hub = ">=0.25.0,<2.0"
 multiprocess = "<0.70.20"
@@ -1547,7 +1640,7 @@ xxhash = "*"
 [package.extras]
 audio = ["torch (>=2.8.0)", "torchcodec (>=0.6.0)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
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+dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyiceberg[pyarrow,sql-sqlite]", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "sqlalchemy", "teich (==0.1.5)", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers", "transformers (>=4.42.0)", "trimesh (>=4.10.0)", "zstandard"]
 docs = ["tensorflow (>=2.6.0)", "torch", "transformers"]
 iceberg = ["pyiceberg (>=0.7.0)"]
 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
@@ -1557,8 +1650,8 @@ pdfs = ["pdfplumber (>=0.11.4)"]
 quality = ["ruff (>=0.3.0)"]
 tensorflow = ["tensorflow (>=2.6.0)"]
 tensorflow-gpu = ["tensorflow (>=2.6.0)"]
-tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyiceberg[pyarrow,sql-sqlite]", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "teich (==0.1.1a76)", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "trimesh (>=4.10.0)", "zstandard"]
-tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyiceberg[pyarrow,sql-sqlite]", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "teich (==0.1.1a76)", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "trimesh (>=4.10.0)", "zstandard"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyiceberg[pyarrow,sql-sqlite]", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "teich (==0.1.5)", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "trimesh (>=4.10.0)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyiceberg[pyarrow,sql-sqlite]", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "teich (==0.1.5)", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "trimesh (>=4.10.0)", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=9.4.0)"]
 
@@ -1825,15 +1918,15 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fastapi"
-version = "0.139.2"
+version = "0.141.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
-    {file = "fastapi-0.139.2-py3-none-any.whl", hash = "sha256:b9ad015a835173d59865e2f5d8296fbc2b317bf56a2ba1a5bfbdd03de2fd4b1c"},
-    {file = "fastapi-0.139.2.tar.gz", hash = "sha256:333145a6891e9b5b3cfceb69baf817e8240cde4d4588ae5a10bf56ffacb6255e"},
+    {file = "fastapi-0.141.1-py3-none-any.whl", hash = "sha256:bfb91aa2d334c61cb35ba9a116fc123b3d3df31640b801cf57a7a78ec3f603b3"},
+    {file = "fastapi-0.141.1.tar.gz", hash = "sha256:e8822fc40db1e1858054d7a949a888695bc9bdce70139178e33bd2871a453ca1"},
 ]
 
 [package.dependencies]
@@ -1844,9 +1937,9 @@ typing-extensions = ">=4.8.0"
 typing-inspection = ">=0.4.2"
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "uvicorn[standard] (>=0.12.0)"]
-standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "fastar (>=0.9.0)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
-standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.32)", "httpx (>=0.23.0,<1.0.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.32)", "fastar (>=0.9.0)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.32)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "fastavro"
@@ -1918,14 +2011,14 @@ zstandard = ["backports.zstd ; python_version < \"3.14\""]
 
 [[package]]
 name = "filelock"
-version = "3.31.1"
+version = "3.32.2"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "dev"]
 files = [
-    {file = "filelock-3.31.1-py3-none-any.whl", hash = "sha256:9ea33146c780161bf67cb20c7cb26b651566820d65ad8dfdd79422602a2dcfc0"},
-    {file = "filelock-3.31.1.tar.gz", hash = "sha256:9e0c4e88ebe90833c1beafd3a547ccbc0bf7f491cd3858c3ec7aed63efe02163"},
+    {file = "filelock-3.32.2-py3-none-any.whl", hash = "sha256:87dd94cf281e586d135fa51132b8e3d9a598b316e90377a288663c9321036c82"},
+    {file = "filelock-3.32.2.tar.gz", hash = "sha256:c33351e1f49cae33414acbc6d56784e6ecee82514ec90795da1161fc4836b5b8"},
 ]
 markers = {main = "extra == \"evaluate\" or extra == \"transformers\" or extra == \"datasets\" or extra == \"huggingface-hub\""}
 
@@ -2205,15 +2298,15 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2026.4.0"
+version = "2026.6.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "extra == \"evaluate\" or extra == \"transformers\" or extra == \"datasets\" or extra == \"huggingface-hub\""
 files = [
-    {file = "fsspec-2026.4.0-py3-none-any.whl", hash = "sha256:11ef7bb35dab8a394fde6e608221d5cf3e8499401c249bebaeaad760a1a8dec2"},
-    {file = "fsspec-2026.4.0.tar.gz", hash = "sha256:301d8ac70ae90ef3ad05dcf94d6c3754a097f9b5fe4667d2787aa359ec7df7e4"},
+    {file = "fsspec-2026.6.0-py3-none-any.whl", hash = "sha256:02e0b71817df9b2169dc30a16832045764def1191b43dcff5bb85bdee212d2a1"},
+    {file = "fsspec-2026.6.0.tar.gz", hash = "sha256:f5bac145310fe30e16e1471bd6840b2d990d609e872251d7e674241822abf01a"},
 ]
 
 [package.dependencies]
@@ -2244,7 +2337,7 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
 test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
-test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "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 ; python_version < \"3.14\""]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "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 (<3.2.0)", "zstandard ; python_version < \"3.14\""]
 tqdm = ["tqdm"]
 
 [[package]]
@@ -2265,15 +2358,15 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.52"
+version = "3.1.59"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
-    {file = "gitpython-3.1.52-py3-none-any.whl", hash = "sha256:79a36ee1f83523214a3f72d56cf1c4e490d577dc61af77e43dfe5862bd9da01a"},
-    {file = "gitpython-3.1.52.tar.gz", hash = "sha256:de0a8ad86274c6e75ae8b37dd055ba68f19818c813108642263227b20775b48e"},
+    {file = "gitpython-3.1.59-py3-none-any.whl", hash = "sha256:67a82f537384578643624c8b2c531938a9b82be431663e575dcf638526631d4c"},
+    {file = "gitpython-3.1.59.tar.gz", hash = "sha256:0a1475cfdc38a5bfba1a3e9a4a9da52a39749ecec322b772915c019f94e5b7e4"},
 ]
 
 [package.dependencies]
@@ -2281,26 +2374,23 @@ gitdb = ">=4.0.1,<5"
 
 [package.extras]
 doc = ["sphinx (>=7.4.7,<8)", "sphinx-autodoc-typehints", "sphinx_rtd_theme"]
-test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.8\"", "mypy (==1.18.2) ; python_version >= \"3.9\"", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions ; python_version < \"3.11\""]
+test = ["basedpyright (==1.39.9) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.8\"", "mypy (==1.18.2) ; python_version >= \"3.9\"", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions ; python_version < \"3.11\""]
 
 [[package]]
 name = "google-auth"
-version = "2.56.0"
+version = "2.56.3"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
-    {file = "google_auth-2.56.0-py3-none-any.whl", hash = "sha256:6e88c10217e07a92bfd01cac8ee99e32ccfb08414c3102e6c5b8d58f37a0d1e0"},
-    {file = "google_auth-2.56.0.tar.gz", hash = "sha256:f90fa030b569a92654b9d690665a073841df33d57487be53db583a9a0867a553"},
+    {file = "google_auth-2.56.3-py3-none-any.whl", hash = "sha256:8ec438808f813ad034535000261eed1067475d229d05bbf4216e78c3f2362e53"},
+    {file = "google_auth-2.56.3.tar.gz", hash = "sha256:40e229fc901f0a305b553050e5fce562d509bee0435be053abfa91582b51b90c"},
 ]
 
 [package.dependencies]
-cryptography = [
-    {version = ">=38.0.3", markers = "python_version < \"3.14\""},
-    {version = ">=41.0.5", markers = "python_version >= \"3.14\""},
-]
+cryptography = {version = ">=38.0.3", markers = "python_version < \"3.14\""}
 pyasn1-modules = ">=0.2.1"
 
 [package.extras]
@@ -2318,22 +2408,22 @@ urllib3 = ["packaging (>=20.0)", "urllib3 (>=1.26.15,<3.0.0)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.75.0"
+version = "1.75.1"
 description = "Common protobufs used in Google APIs"
 optional = true
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and extra == \"databricks\""
 files = [
-    {file = "googleapis_common_protos-1.75.0-py3-none-any.whl", hash = "sha256:961ed60399c457ceb0ee8f285a84c870aabc9c6a832b9d37bb281b5bebde43ed"},
-    {file = "googleapis_common_protos-1.75.0.tar.gz", hash = "sha256:53a062ff3c32552fbd62c11fe23768b78e4ddf0494d5e5fd97d3f4689c75fbbd"},
+    {file = "googleapis_common_protos-1.75.1-py3-none-any.whl", hash = "sha256:28a1934bcd33b9c9da66ac301a0a4227e3367f095a17d0375cb98f0a09d93b79"},
+    {file = "googleapis_common_protos-1.75.1.tar.gz", hash = "sha256:d3042c6c5a2d4e67113104d6b6818b59b6bd92a197f2a91508e801fe815cf071"},
 ]
 
 [package.dependencies]
-protobuf = ">=4.25.8,<8.0.0"
+protobuf = ">=6.33.5,<8.0.0"
 
 [package.extras]
-grpc = ["grpcio (>=1.44.0,<2.0.0)"]
+grpc = ["grpcio (>=1.59.0,<2.0.0)"]
 
 [[package]]
 name = "graphene"
@@ -2389,92 +2479,92 @@ graphql-core = ">=3.2,<3.3"
 
 [[package]]
 name = "greenlet"
-version = "3.5.3"
+version = "3.5.5"
 description = "Lightweight in-process concurrent programming"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "(python_version == \"3.12\" or extra == \"mlflow\" or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"databricks\" or extra == \"llms\" or extra == \"ollama-sdk\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") and (extra == \"databricks\" or extra == \"mlflow\" or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"llms\" or extra == \"ollama-sdk\")"
 files = [
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-    {file = "greenlet-3.5.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:483d08c11181c83a6ce1a7a61df0f624a208ec40817a3bb2302714592eee4f04"},
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 [package.extras]
@@ -2483,89 +2573,89 @@ test = ["objgraph", "psutil", "setuptools"]
 
 [[package]]
 name = "grpcio"
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 description = "HTTP/2-based RPC framework"
 optional = true
 python-versions = ">=3.10"
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+    {file = "hf_xet-1.6.0-cp314-cp314t-win_arm64.whl", hash = "sha256:75765820ce4700db3750c94acc8fe27c5fae4c9ec000a0dbac3ca082acf97765"},
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+    {file = "hf_xet-1.6.0-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:4fc74352a17015bd0ee90038bc9efe38db894cde45f268b6712b04fce8cd0acb"},
+    {file = "hf_xet-1.6.0-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:8fb4f71cba6129110c3374a33f919001ff130488fc23553698e34cc1c2a1198c"},
+    {file = "hf_xet-1.6.0-cp38-abi3-win_amd64.whl", hash = "sha256:fb4fadde1b2b70bf4c0c14a6dccbe7194b1c28947fefd5bbe3fed9d940676c3b"},
+    {file = "hf_xet-1.6.0-cp38-abi3-win_arm64.whl", hash = "sha256:3dc3e35441ba395006af5aaacc40ef2e603c51ef46c3530b9156185f00935ea3"},
+    {file = "hf_xet-1.6.0.tar.gz", hash = "sha256:2e58454a340b3556dfa4972d5451aff4fba8dd42a236600ba1a1d2b1514f0fef"},
 ]
 
 [package.extras]
@@ -2725,39 +2815,41 @@ files = [
 
 [[package]]
 name = "huey"
-version = "3.2.1"
+version = "3.3.4"
 description = "a little task queue"
 optional = true
 python-versions = "*"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
-    {file = "huey-3.2.1-py3-none-any.whl", hash = "sha256:da9e004b80941a718f33f9714697a67e6d5cf12e0707fc4f3dbb5d9c796e7224"},
-    {file = "huey-3.2.1.tar.gz", hash = "sha256:79cd63d117e5b8da2de58420dcde4e2d0f963e362d67a9b3872ce565eec5c3dc"},
+    {file = "huey-3.3.4-py3-none-any.whl", hash = "sha256:a6e2e9a8fbda15c2dfb8e33b23a5e6e228326ea8e0087c11027957ef7c210e96"},
+    {file = "huey-3.3.4.tar.gz", hash = "sha256:6de196c6ece2e38b5173f7510600091ab035c0e86b0958d0e5b38a82b9984666"},
 ]
 
 [package.extras]
 backends = ["redis (>=3.0.0)"]
+cysqlite = ["cysqlite (>=0.3.5)"]
 postgres = ["psycopg (>=3.2)"]
+redis = ["redis (>=3.0.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "1.24.0"
+version = "1.27.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.10.0"
 groups = ["main"]
 markers = "extra == \"evaluate\" or extra == \"transformers\" or extra == \"datasets\" or extra == \"huggingface-hub\""
 files = [
-    {file = "huggingface_hub-1.24.0-py3-none-any.whl", hash = "sha256:6ed4120a84a6beec900640aa7e346bd766a6b7341e41526fef5dc8bd81fb7d59"},
-    {file = "huggingface_hub-1.24.0.tar.gz", hash = "sha256:18431ff4daae0749aa9ba102fc952e314c98e1d30ebdec5319d85ca0a83e1ae5"},
+    {file = "huggingface_hub-1.27.0-py3-none-any.whl", hash = "sha256:7df6827c2f956c60fbaa64646e979e566db76f619dd0a9729dfb8c5a3eb4f68d"},
+    {file = "huggingface_hub-1.27.0.tar.gz", hash = "sha256:c1fed40ea82a6b41b477f5243546549b792ae0a93abcea608cff66089bf8f8df"},
 ]
 
 [package.dependencies]
 click = ">=8.4.2,<9.0.0"
 filelock = ">=3.10.0"
 fsspec = ">=2023.5.0"
-hf-xet = {version = ">=1.5.1,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
+hf-xet = {version = ">=1.5.2,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
 httpx = ">=0.23.0,<1"
 packaging = ">=20.9"
 pyyaml = ">=5.1"
@@ -2765,15 +2857,15 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=4.1.0"
 
 [package.extras]
-all = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
-dev = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (>=16.2)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (>=16.2)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 gradio = ["gradio (>=5.0.0)", "requests"]
-hf-xet = ["hf-xet (>=1.5.1,<2.0.0)"]
+hf-xet = ["hf-xet (>=1.5.2,<2.0.0)"]
 mcp = ["mcp (>=1.8.0)"]
 oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
 quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "ruff (>=0.9.0)", "ty"]
-testing = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (>=16.2)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -3409,20 +3501,20 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "1.3.14"
+version = "1.3.15"
 description = "Building applications with LLMs through composability"
 optional = true
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"llms\" or extra == \"ollama-sdk\") or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"databricks\" or extra == \"llms\" or extra == \"ollama-sdk\""
 files = [
-    {file = "langchain-1.3.14-py3-none-any.whl", hash = "sha256:4d10dbe91005952cddd56d0dc77aa108964da6bae90ab20063653957e901f782"},
-    {file = "langchain-1.3.14.tar.gz", hash = "sha256:1b6696c72ba3bbbce54d745e0180742c9f6ece8bbc59ed5a46c3e20b9a435929"},
+    {file = "langchain-1.3.15-py3-none-any.whl", hash = "sha256:c0d2d0d51ed7da249e8ab7487173872059a9dd46fb071d905957485b7334f987"},
+    {file = "langchain-1.3.15.tar.gz", hash = "sha256:ab4b775b9703f7e37babe0b325dbbaef25573bda60ecf79f7850bc875f252795"},
 ]
 
 [package.dependencies]
-langchain-core = ">=1.4.9,<2.0.0"
-langgraph = ">=1.2.5,<1.3.0"
+langchain-core = ">=1.5.4,<2.0.0"
+langgraph = ">=1.2.11,<1.3.0"
 pydantic = ">=2.7.4,<3.0.0"
 
 [package.extras]
@@ -3517,15 +3609,15 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "1.4.9"
+version = "1.5.4"
 description = "Building applications with LLMs through composability"
 optional = true
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"llms\" or extra == \"ollama-sdk\") or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"databricks\" or extra == \"llms\" or extra == \"ollama-sdk\""
 files = [
-    {file = "langchain_core-1.4.9-py3-none-any.whl", hash = "sha256:28e3909e2a10cc81504952d795ac0a9e014c0018121ef89d48dd396fa09ec624"},
-    {file = "langchain_core-1.4.9.tar.gz", hash = "sha256:f8078901145bed0466755277500a5a22822a7b628808c4c0a28d4fc88895fcf2"},
+    {file = "langchain_core-1.5.4-py3-none-any.whl", hash = "sha256:f1d45e84c4e4d6158218b7a8072ebe9b6d4b51e10cb728c0469650a648e18f1b"},
+    {file = "langchain_core-1.5.4.tar.gz", hash = "sha256:aa76104f30b6c7305f292cb2c364e67cb52c321940ae812d7969471dce32a89a"},
 ]
 
 [package.dependencies]
@@ -3608,15 +3700,15 @@ langchain-core = ">=1.2.31,<2.0.0"
 
 [[package]]
 name = "langgraph"
-version = "1.2.9"
+version = "1.2.11"
 description = "Building stateful, multi-actor applications with LLMs"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"llms\" or extra == \"ollama-sdk\") or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"databricks\" or extra == \"llms\" or extra == \"ollama-sdk\""
 files = [
-    {file = "langgraph-1.2.9-py3-none-any.whl", hash = "sha256:c2d98ad94333937922ba04148641c1da2bfe45b5b8e55d7b6dcb0bb2df809e76"},
-    {file = "langgraph-1.2.9.tar.gz", hash = "sha256:385f87bc1802c35af7e0aa479278ecba8582d103515eb48256cb2ddcd42d0bd4"},
+    {file = "langgraph-1.2.11-py3-none-any.whl", hash = "sha256:8bab70de7b2d00b5300fb289bcf38d8b241400f3184c1e95e8ce706fb0e8686b"},
+    {file = "langgraph-1.2.11.tar.gz", hash = "sha256:9ecfe11e50d338b34b15cf4d8a442642de103e8ae6971320efba84e4542eb363"},
 ]
 
 [package.dependencies]
@@ -3629,15 +3721,15 @@ xxhash = ">=3.5.0"
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.1"
+version = "4.2.0"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"llms\" or extra == \"ollama-sdk\") or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"databricks\" or extra == \"llms\" or extra == \"ollama-sdk\""
 files = [
-    {file = "langgraph_checkpoint-4.1.1-py3-none-any.whl", hash = "sha256:25d29144b082827218e7bc3f1e9b0566a4bb007895cd6cc26f66a8428739f56e"},
-    {file = "langgraph_checkpoint-4.1.1.tar.gz", hash = "sha256:6c2bdb530c91f91d7d9c1bd100925d0fc4f498d418c17f3587d1526279482a25"},
+    {file = "langgraph_checkpoint-4.2.0-py3-none-any.whl", hash = "sha256:0547fd228935a0b758865de3a3d6d7a2537c308895d0f9ab092ce9151b5da942"},
+    {file = "langgraph_checkpoint-4.2.0.tar.gz", hash = "sha256:51a593b6bee684b0818e5d6e58e28ab340c6db7794575056ce7bd1b746a84ed7"},
 ]
 
 [package.dependencies]
@@ -3683,15 +3775,15 @@ websockets = ">=14,<16"
 
 [[package]]
 name = "langsmith"
-version = "0.10.6"
+version = "0.10.18"
 description = "Client library to connect to the LangSmith Observability and Evaluation Platform."
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"llms\" or extra == \"ollama-sdk\") or extra == \"openai\" or extra == \"cohere\" or extra == \"ai21\" or extra == \"huggingface-hub\" or extra == \"databricks\" or extra == \"llms\" or extra == \"ollama-sdk\""
 files = [
-    {file = "langsmith-0.10.6-py3-none-any.whl", hash = "sha256:094285b755224f49fd396c3672b0f747294c7b8d9e8278a81d76b487b5cfdb56"},
-    {file = "langsmith-0.10.6.tar.gz", hash = "sha256:6ec5b26bb57ee41363c07eb2884f24d69910b8d6bc26cae1f9e367af15259f1b"},
+    {file = "langsmith-0.10.18-py3-none-any.whl", hash = "sha256:388236a4f031c1fe60e1517891c276ed01b102ad4405e0e9236255f2abd24cfa"},
+    {file = "langsmith-0.10.18.tar.gz", hash = "sha256:f78402bdbe333727459831fead2c75d0c1d1119c28e4095e5a1d65a7485e2f3a"},
 ]
 
 [package.dependencies]
@@ -3712,6 +3804,7 @@ zstandard = ">=0.23.0"
 
 [package.extras]
 claude-agent-sdk = ["claude-agent-sdk (>=0.1.0) ; python_version >= \"3.10\""]
+gemini-live = ["google-genai (>=1.75)"]
 google-adk = ["google-adk (>=1.0.0)", "wrapt (>=1.16.0)"]
 google-adk-live = ["google-adk (>=2.3.0)"]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2)"]
@@ -3726,23 +3819,23 @@ vcr = ["vcrpy (>=7.0.0)"]
 
 [[package]]
 name = "mako"
-version = "1.3.12"
+version = "1.4.1"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
-    {file = "mako-1.3.12-py3-none-any.whl", hash = "sha256:8f61569480282dbf557145ce441e4ba888be453c30989f879f0d652e39f53ea9"},
-    {file = "mako-1.3.12.tar.gz", hash = "sha256:9f778e93289bd410bb35daadeb4fc66d95a746f0b75777b942088b7fd7af550a"},
+    {file = "mako-1.4.1-py3-none-any.whl", hash = "sha256:a359d9a94a541213958742b2698d0a7757bb83551767bc468a74b9905aba9617"},
+    {file = "mako-1.4.1.tar.gz", hash = "sha256:d7904710b662996425a21627710c4777c45053146942cf8a7aebf757c92b8c27"},
 ]
 
 [package.dependencies]
-MarkupSafe = ">=0.9.2"
+MarkupSafe = ">=2.0"
 
 [package.extras]
 babel = ["Babel"]
-lingua = ["lingua"]
+lingua = ["lingua (>=4.16)"]
 testing = ["pytest"]
 
 [[package]]
@@ -3982,15 +4075,15 @@ files = [
 
 [[package]]
 name = "metaflow"
-version = "2.19.35"
+version = "2.19.37"
 description = "Metaflow: More AI and ML, Less Engineering"
 optional = true
 python-versions = "*"
 groups = ["main"]
 markers = "extra == \"metaflow\""
 files = [
-    {file = "metaflow-2.19.35-py2.py3-none-any.whl", hash = "sha256:9b9261bd472aade2e45ddc41e0512190fbb0d7339c297f2d394dcd5be9e1caa3"},
-    {file = "metaflow-2.19.35.tar.gz", hash = "sha256:f349575c595151ca3fceb0f747ce6b67d74baa4ca1b71bd3f54bb8f92afdcc5e"},
+    {file = "metaflow-2.19.37-py2.py3-none-any.whl", hash = "sha256:20885ae69e66c4202095ab86cf07c8b2fc1c421d75a446e1456b04c43cb637ed"},
+    {file = "metaflow-2.19.37.tar.gz", hash = "sha256:fec79cbd985c4a33ba52e24586b4875b567a736057e2c1340f529130e0b539a1"},
 ]
 
 [package.dependencies]
@@ -3999,25 +4092,25 @@ requests = "*"
 
 [package.extras]
 dev = ["kubernetes", "localbatch", "omegaconf", "pytest", "pytest-cov", "pytest-mock", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist"]
-stubs = ["metaflow-stubs (==2.19.35)"]
+stubs = ["metaflow-stubs (==2.19.37)"]
 
 [[package]]
 name = "mlflow"
-version = "3.14.0"
+version = "3.15.1"
 description = "MLflow is an open source platform for the complete machine learning lifecycle"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
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-    {file = "mlflow-3.14.0.tar.gz", hash = "sha256:5a1f818fa003035c724162096ce3ded7bc7bc47a1cae595df6173961983f4718"},
+    {file = "mlflow-3.15.1-py3-none-any.whl", hash = "sha256:c91f78d304d8ef825869ea07e638c73a2850660f0d9f098993bacecc359f8a75"},
+    {file = "mlflow-3.15.1.tar.gz", hash = "sha256:6177b02c442d7d6ab3ad752daa826db9cf993e255450fb4b00ea8b7b5539c01d"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.7.0,<4"
 alembic = "<1.10.0 || >1.10.0,<2"
-cryptography = ">=43.0.0,<49"
+cryptography = ">=43.0.0,<50"
 docker = ">=4.0.0,<8"
 Flask = "<4"
 Flask-CORS = "<7"
@@ -4025,11 +4118,11 @@ graphene = "<4"
 gunicorn = {version = "<27", markers = "platform_system != \"Windows\""}
 huey = ">=2.5.4,<4"
 matplotlib = "<4"
-mlflow-skinny = "3.14.0"
-mlflow-tracing = "3.14.0"
+mlflow-skinny = "3.15.1"
+mlflow-tracing = "3.15.1"
 numpy = "<3"
 pandas = "<3"
-pyarrow = ">=4.0.0,<25"
+pyarrow = ">=4.0.0,<26"
 scikit-learn = "<2"
 scipy = "<2"
 skops = "<1"
@@ -4047,21 +4140,21 @@ gateway = ["boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tikt
 genai = ["boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"]
 jfrog = ["mlflow-jfrog-plugin"]
 kubernetes = ["kubernetes"]
-langchain = ["langchain (>=0.3.26,<=1.3.4)"]
+langchain = ["langchain (>=1.0.0,<=1.3.14)"]
 mcp = ["click (!=8.3.0)", "fastmcp (>=2.7.0,<4)"]
 sqlserver = ["mlflow-dbstore"]
 
 [[package]]
 name = "mlflow-skinny"
-version = "3.14.0"
+version = "3.15.1"
 description = "MLflow is an open source platform for the complete machine learning lifecycle"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
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-    {file = "mlflow_skinny-3.14.0.tar.gz", hash = "sha256:e50f4506422c7737157ae6643c165122af7898345f2e828fa93c4f10128653cf"},
+    {file = "mlflow_skinny-3.15.1-py3-none-any.whl", hash = "sha256:b62056806d0afc425e8948233a3646b0b3af504702ff3b334b6395f48b22b832"},
+    {file = "mlflow_skinny-3.15.1.tar.gz", hash = "sha256:8c53c85bf0fe6e9ba8aa72f6b8675c774d1ff55b00735a5cd33a510803905237"},
 ]
 
 [package.dependencies]
@@ -4097,21 +4190,21 @@ gateway = ["boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tikt
 genai = ["boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"]
 jfrog = ["mlflow-jfrog-plugin"]
 kubernetes = ["kubernetes"]
-langchain = ["langchain (>=0.3.26,<=1.3.4)"]
+langchain = ["langchain (>=1.0.0,<=1.3.14)"]
 mcp = ["click (!=8.3.0)", "fastmcp (>=2.7.0,<4)"]
 sqlserver = ["mlflow-dbstore"]
 
 [[package]]
 name = "mlflow-tracing"
-version = "3.14.0"
+version = "3.15.1"
 description = "MLflow Tracing SDK is an open-source, lightweight Python package that only includes the minimum set of dependencies and functionality to instrument your code/models/agents with MLflow Tracing."
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
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-    {file = "mlflow_tracing-3.14.0.tar.gz", hash = "sha256:c2f701e001d35964f23fbbdfdda36c818a76c157b912ae83781199fd714be09a"},
+    {file = "mlflow_tracing-3.15.1-py3-none-any.whl", hash = "sha256:3cdef1f1675fe2c7c9f409e132439d65b063e37455b338027bfb2c0f986bebca"},
+    {file = "mlflow_tracing-3.15.1.tar.gz", hash = "sha256:ba1c4d873151c0ceeab37f53daf0997feea18a1c092358995072dc53e1944a29"},
 ]
 
 [package.dependencies]
@@ -4674,15 +4767,15 @@ test-extras = ["pytest-mpl", "pytest-randomly"]
 
 [[package]]
 name = "nltk"
-version = "3.10.0"
+version = "3.10.2"
 description = "Natural Language Toolkit"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "extra == \"evaluate\""
 files = [
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+    {file = "nltk-3.10.2.tar.gz", hash = "sha256:fcfd80fb77931868cea8357573c79838b8abc609942ef9914d1c9f6070d4645c"},
 ]
 
 [package.dependencies]
@@ -4792,56 +4885,78 @@ numpy = ">=1.26.0"
 
 [[package]]
 name = "numpy"
-version = "2.5.1"
+version = "2.5.2"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.12"
 groups = ["main"]
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 description = "Core utilities for Python packages"
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 [[package]]
@@ -5403,14 +5518,14 @@ xmp = ["defusedxml"]
 
 [[package]]
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 [package.dependencies]
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 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"mlflow\" and python_version >= \"3.13\""
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 version = "0.6.4"
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 [[package]]
 name = "pydantic-settings"
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 [package.extras]
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 [[package]]
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 [[package]]
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 [[package]]
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 [package.dependencies]
@@ -7382,7 +7519,7 @@ aiomysql = ["aiomysql (>=0.2.0)", "greenlet (>=1)"]
 aioodbc = ["aioodbc", "greenlet (>=1)"]
 aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (>=1)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
+asyncmy = ["asyncmy (>=0.2.12)", "greenlet (>=1)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
@@ -7513,15 +7650,15 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "starlette"
-version = "1.3.1"
+version = "1.6.0"
 description = "The little ASGI library that shines."
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
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 ]
 
 [package.dependencies]
@@ -7983,34 +8120,34 @@ reference = "pytorch-cpu"
 
 [[package]]
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+version = "6.5.8"
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 python-versions = ">=3.9"
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 ]
 
 [[package]]
 name = "tqdm"
-version = "4.69.0"
+version = "4.70.0"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -8024,32 +8161,32 @@ telegram = ["envwrap", "requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.15.1"
+version = "5.16.1"
 description = "Traitlets Python configuration system"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main", "dev"]
 files = [
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 ]
 markers = {main = "extra == \"johnsnowlabs\""}
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=3.0.3)", "mypy (>=1.17.0,<1.19)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
+test = ["argcomplete (>=3.0.3) ; python_version < \"3.12\"", "argcomplete (>=3.5.2) ; python_version >= \"3.12\"", "mypy (>=2.0) ; implementation_name != \"pypy\"", "pre-commit", "pytest (>=7.0,<10.0)", "pytest-mock", "pytest-mypy-testing ; implementation_name != \"pypy\""]
 
 [[package]]
 name = "transformers"
-version = "5.14.1"
+version = "5.15.0"
 description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training."
 optional = false
 python-versions = ">=3.10.0"
 groups = ["main"]
 markers = "extra == \"transformers\""
 files = [
-    {file = "transformers-5.14.1-py3-none-any.whl", hash = "sha256:9db974c4079ede2d1a3ea7ca5a240df33f2cc26fc2b36ba64c5f2a4f43b6e725"},
-    {file = "transformers-5.14.1.tar.gz", hash = "sha256:60d196c27781eacf8637e2b533f517582907ad6f9ae142046d6b69431a5b2173"},
+    {file = "transformers-5.15.0-py3-none-any.whl", hash = "sha256:d7f007736f67749ae9490c4f8cb5d30b452ae2d68c8675e50ba8d63ea7feb107"},
+    {file = "transformers-5.15.0.tar.gz", hash = "sha256:bbf98f57b2ddd7c4ecbccfa2c0069017aa6fd01cc204bd50cbc0eeadcf2a13b8"},
 ]
 
 [package.dependencies]
@@ -8065,19 +8202,19 @@ typer = "*"
 
 [package.extras]
 accelerate = ["accelerate (>=1.1.0)"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "av", "blobfile", "jinja2 (>=3.1.0)", "kernels (>=0.15.2,<0.16)", "librosa", "mistral-common[image] (>=1.11.5)", "num2words", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken", "timm (>=1.0.23)", "torch (>=2.4)", "torchaudio", "torchvision"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "av", "blobfile", "jinja2 (>=3.1.0)", "kernels (>=0.16.0,<0.17)", "librosa", "mistral-common[image] (>=1.11.7)", "num2words", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken", "timm (>=1.0.23)", "torch (>=2.5)", "torchaudio", "torchvision"]
 audio = ["librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 benchmark = ["optimum-benchmark (>=0.3.0)"]
 chat-template = ["jinja2 (>=3.1.0)"]
 codecarbon = ["codecarbon (>=2.8.1)"]
 deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"]
-deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.11.5)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.4)", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "hf-doc-builder", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "kernels (>=0.15.2,<0.16)", "libcst", "librosa", "mistral-common[image] (>=1.11.5)", "mistral-common[image] (>=1.11.5)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "tomli", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.5)", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "hf-doc-builder", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "kernels (>=0.16.0,<0.17)", "libcst", "librosa", "mistral-common[image] (>=1.11.7)", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "tomli", "torch (>=2.5)", "torch (>=2.5)", "torchaudio", "torchvision", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"]
 docs = ["hf-doc-builder"]
-integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.15.2,<0.16)", "optuna", "ray[tune] (>=2.7.0)"]
+integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.16.0,<0.17)", "optuna", "ray[tune] (>=2.7.0)"]
 ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
-kernels = ["kernels (>=0.15.2,<0.16)"]
-mistral-common = ["mistral-common[image] (>=1.11.5)"]
+kernels = ["kernels (>=0.16.0,<0.17)"]
+mistral-common = ["mistral-common[image] (>=1.11.7)"]
 num2words = ["num2words"]
 optuna = ["optuna"]
 quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "tomli", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "urllib3 (<2.0.0)"]
@@ -8085,26 +8222,26 @@ ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (>=2.15.0)", "faiss-cpu"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
-serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"]
+serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.5)", "uvicorn"]
 sklearn = ["scikit-learn"]
-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.11.5)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.4)", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
+testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.5)", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
 tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (>=1.0.23)"]
-torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"]
+torch = ["accelerate (>=1.1.0)", "torch (>=2.5)"]
 video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
 
 [[package]]
 name = "typer"
-version = "0.27.0"
+version = "0.27.1"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "extra == \"transformers\" or extra == \"spacy\""
 files = [
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+    {file = "typer-0.27.1-py3-none-any.whl", hash = "sha256:53150287edd11baeb4e4722c8e394fcdf8181c0ae89485cba8d25c778d5edd56"},
+    {file = "typer-0.27.1.tar.gz", hash = "sha256:a79bef8469a79c45498e7b814ecf8d603cc7644e9acbd9e19cac0334240b18df"},
 ]
 
 [package.dependencies]
@@ -8127,18 +8264,18 @@ files = [
 
 [[package]]
 name = "typing-inspection"
-version = "0.4.2"
+version = "0.4.4"
 description = "Runtime typing introspection tools"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main"]
 files = [
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+    {file = "typing_inspection-0.4.4-py3-none-any.whl", hash = "sha256:65b8397ba37ccbce054456aaccddfc91e6e3083c92824df348d96ca832f3f147"},
+    {file = "typing_inspection-0.4.4.tar.gz", hash = "sha256:547274fa6b0a561ccf549cc9524b999a578e737d015d8709d021f9d0d13bea47"},
 ]
 
 [package.dependencies]
-typing-extensions = ">=4.12.0"
+typing-extensions = ">=4.15.0"
 
 [[package]]
 name = "tzdata"
@@ -8352,15 +8489,15 @@ files = [
 
 [[package]]
 name = "uvicorn"
-version = "0.51.0"
+version = "0.52.1"
 description = "The lightning-fast ASGI server."
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.12\" and (extra == \"databricks\" or extra == \"mlflow\") or extra == \"mlflow\""
 files = [
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 ]
 
 [package.dependencies]
@@ -8372,14 +8509,14 @@ standard = ["httptools (>=0.8.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "
 
 [[package]]
 name = "virtualenv"
-version = "21.6.1"
+version = "21.7.4"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
 files = [
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+    {file = "virtualenv-21.7.4-py3-none-any.whl", hash = "sha256:376ec93cd6aab3044fa395d7db226db38043b7b5748948044b2a87168525e843"},
+    {file = "virtualenv-21.7.4.tar.gz", hash = "sha256:c9d960c95fa458171e58222a5ccab7465298e4b6559977865e627c4719f1e825"},
 ]
 
 [package.dependencies]
@@ -8559,102 +8696,102 @@ watchdog = ["watchdog (>=2.3)"]
 
 [[package]]
 name = "wrapt"
-version = "2.2.2"
+version = "2.3.0"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.extras]

From 3b3763266ba39e0b87c9ec179d45b076e7804d36 Mon Sep 17 00:00:00 2001
From: Kalyan Chakravarthy <chakravarthik27@gmail.com>
Date: Wed, 12 Aug 2026 21:48:38 +0530
Subject: [PATCH 2/3] chore: updated the langchain-openai package.

---
 poetry.lock    | 28 +++++++++++++++-------------
 pyproject.toml |  2 +-
 2 files changed, 16 insertions(+), 14 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 61f59e596..d2a4cda4c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -3650,20 +3650,20 @@ ollama = ">=0.6.1,<1.0.0"
 
 [[package]]
 name = "langchain-openai"
-version = "1.1.9"
+version = "1.4.3"
 description = "An integration package connecting OpenAI and LangChain"
 optional = true
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main"]
 markers = "extra == \"openai\" or extra == \"databricks\" or extra == \"llms\""
 files = [
-    {file = "langchain_openai-1.1.9-py3-none-any.whl", hash = "sha256:ca2482b136c45fb67c0db84a9817de675e0eb8fb2203a33914c1b7a96f273940"},
-    {file = "langchain_openai-1.1.9.tar.gz", hash = "sha256:fdee25dcf4b0685d8e2f59856f4d5405431ef9e04ab53afe19e2e8360fed8234"},
+    {file = "langchain_openai-1.4.3-py3-none-any.whl", hash = "sha256:351c9dd409ea3ba6562916a9f4655bbf1530e7d84e325b0681e984d63118850b"},
+    {file = "langchain_openai-1.4.3.tar.gz", hash = "sha256:416fbb39ccb62f0dac8180387a56b70f255b8c14c2ec3f774c4074dbcd9aae04"},
 ]
 
 [package.dependencies]
-langchain-core = ">=1.2.11,<2.0.0"
-openai = ">=1.109.1,<3.0.0"
+langchain-core = ">=1.5.3,<2.0.0"
+openai = ">=2.45.0,<3.0.0"
 tiktoken = ">=0.7.0,<1.0.0"
 
 [[package]]
@@ -4996,30 +4996,32 @@ pydantic = ">=2.9"
 
 [[package]]
 name = "openai"
-version = "1.109.1"
+version = "2.54.0"
 description = "The official Python library for the openai API"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.10"
 groups = ["main"]
 markers = "extra == \"openai\" or extra == \"databricks\" or extra == \"llms\""
 files = [
-    {file = "openai-1.109.1-py3-none-any.whl", hash = "sha256:6bcaf57086cf59159b8e27447e4e7dd019db5d29a438072fbd49c290c7e65315"},
-    {file = "openai-1.109.1.tar.gz", hash = "sha256:d173ed8dbca665892a6db099b4a2dfac624f94d20a93f46eb0b56aae940ed869"},
+    {file = "openai-2.54.0-py3-none-any.whl", hash = "sha256:89089789197ccdb87f173a03145ed1598d00795220c93e96cf712b1cbf5e5f2b"},
+    {file = "openai-2.54.0.tar.gz", hash = "sha256:e3e6f8bc1ba30ddf381ace1a14340eed381cb984a1a59bd0f34b5be3b5d49cfa"},
 ]
 
 [package.dependencies]
 anyio = ">=3.5.0,<5"
 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
-jiter = ">=0.4.0,<1"
+jiter = ">=0.10.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tqdm = ">4"
-typing-extensions = ">=4.11,<5"
+typing-extensions = ">=4.14,<5"
 
 [package.extras]
-aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
+aiohttp = ["aiohttp (>=3.14.1)", "httpx-aiohttp (>=0.1.9)"]
+bedrock = ["botocore (>=1.40.0,<2)"]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+httpx2 = ["anyio (>=4.10.0,<5)", "httpx (>=0.25.1,<1)", "httpx2 (>=2.7.0,<3)"]
 realtime = ["websockets (>=13,<16)"]
 voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
@@ -9269,4 +9271,4 @@ transformers = ["accelerate", "datasets", "torch", "transformers"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.12,<3.15"
-content-hash = "99ee40f566f1aecd0d61318463603676fa5666b30b81dc29ea717ff40e4e3bae"
+content-hash = "2c8119af0935de42cc62479c5b1f025c6420ed2a9894962e11eaae4946cb162f"
diff --git a/pyproject.toml b/pyproject.toml
index 1dfcc8f19..fcb2accd4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -64,7 +64,7 @@ transformers = ">=5.5.0"
 huggingface_hub = { version = ">0.16.0", optional = true}
 spacy = { version = ">=3.0.0", optional = true }
 nest-asyncio = "^1.5.0"
-openai = "^1.61.1"
+openai = ">=1.61.1"
 jsonlines = ">=3.1.0"
 torch = {version = "^2.8.0", optional = true, source = "pytorch-cpu"}
 pandas = "^2.0.3"

From beae527cee0b40123aad4a3ec3f2ddb4a012ade2 Mon Sep 17 00:00:00 2001
From: Kalyan Chakravarthy <chakravarthik27@gmail.com>
Date: Wed, 12 Aug 2026 22:01:00 +0530
Subject: [PATCH 3/3] chore: updated the pytest package

---
 poetry.lock    | 21 +++++++++++----------
 pyproject.toml |  2 +-
 2 files changed, 12 insertions(+), 11 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index d2a4cda4c..b2947c409 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -6376,24 +6376,25 @@ sql = ["numpy (>=1.15)", "pandas (>=1.0.5)", "pyarrow (>=1.0.0)"]
 
 [[package]]
 name = "pytest"
-version = "7.4.4"
+version = "9.1.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
-    {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
-    {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
+    {file = "pytest-9.1.1-py3-none-any.whl", hash = "sha256:37a86b45efb9a47a61a36449063e8e18d0cab3161329fc099eb21783169c4f0c"},
+    {file = "pytest-9.1.1.tar.gz", hash = "sha256:1088fbde8f2b49d95a549a195707afa7a76a3ce9bcadc26b6d71f0ffda5fe313"},
 ]
 
 [package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-iniconfig = "*"
-packaging = "*"
-pluggy = ">=0.12,<2.0"
+colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
+iniconfig = ">=1.0.1"
+packaging = ">=22"
+pluggy = ">=1.5,<2"
+pygments = ">=2.7.2"
 
 [package.extras]
-testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-cov"
@@ -9271,4 +9272,4 @@ transformers = ["accelerate", "datasets", "torch", "transformers"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.12,<3.15"
-content-hash = "2c8119af0935de42cc62479c5b1f025c6420ed2a9894962e11eaae4946cb162f"
+content-hash = "de718966a721610fbce75bded0edf7d0a9a52219d364e845359e3dba1b6adc1f"
diff --git a/pyproject.toml b/pyproject.toml
index fcb2accd4..1648f32b9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -113,7 +113,7 @@ ollama_sdk = ["langchain", "langchain-community", "ollama"]
 
 [tool.poetry.group.dev.dependencies]
 ipdb = "^0.13.13"
-pytest = "^7.4.0"
+pytest = ">=9.0.3"
 taskipy = "^1.11.0"
 en-core-web-sm = { url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0.tar.gz" }
 black = ">=26.3.1"