diff --git a/poetry.lock b/poetry.lock
index 88702c88..a0703324 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
 
 [[package]]
 name = "aiodocker"
@@ -35,105 +35,115 @@ files = [
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.4"
+version = "2.6.1"
 description = "Happy Eyeballs for asyncio"
 optional = false
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+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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+    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.11.11"
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 description = "Async http client/server framework (asyncio)"
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 python-versions = ">=3.9"
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+    {file = "aiohttp-3.12.14.tar.gz", hash = "sha256:6e06e120e34d93100de448fd941522e11dafa78ef1a893c179901b7d66aa29f2"},
 ]
 
 [package.dependencies]
-aiohappyeyeballs = ">=2.3.0"
-aiosignal = ">=1.1.2"
+aiohappyeyeballs = ">=2.5.0"
+aiosignal = ">=1.4.0"
 async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
@@ -142,7 +152,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiohttp-cors"
@@ -162,18 +172,19 @@ aiohttp = ">=1.1"
 
 [[package]]
 name = "aiosignal"
-version = "1.3.2"
+version = "1.4.0"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
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+    {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"},
+    {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"},
 ]
 
 [package.dependencies]
 frozenlist = ">=1.1.0"
+typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "airportsdata"
@@ -188,6 +199,19 @@ files = [
     {file = "airportsdata-20241001.tar.gz", hash = "sha256:fa0bd143b4f4be3557cb892fa0612ef210fd91a92bd720b4d8221de576a4fa00"},
 ]
 
+[[package]]
+name = "annotated-doc"
+version = "0.0.4"
+description = "Document parameters, class attributes, return types, and variables inline, with Annotated."
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"vllm\""
+files = [
+    {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"},
+    {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"},
+]
+
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -313,7 +337,7 @@ description = "Backport of CPython tarfile module"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "python_version == \"3.10\" or python_version == \"3.11\""
+markers = "python_version < \"3.12\""
 files = [
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@@ -519,7 +543,7 @@ files = [
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 ]
-markers = {main = "extra == \"vllm\" and implementation_name == \"pypy\"", dev = "platform_python_implementation != \"PyPy\" and sys_platform == \"linux\""}
+markers = {main = "implementation_name == \"pypy\" and extra == \"vllm\"", dev = "platform_python_implementation != \"PyPy\" and sys_platform == \"linux\""}
 
 [package.dependencies]
 pycparser = "*"
@@ -677,7 +701,7 @@ files = [
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 ]
-markers = {main = "sys_platform == \"win32\" or platform_system == \"Windows\"", dev = "sys_platform == \"win32\""}
+markers = {main = "sys_platform == \"win32\" and extra == \"vllm\" or platform_system == \"Windows\"", dev = "sys_platform == \"win32\""}
 
 [[package]]
 name = "colorful"
@@ -871,40 +895,44 @@ toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
 name = "cryptography"
-version = "44.0.0"
+version = "44.0.1"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.7"
 groups = ["dev"]
 markers = "sys_platform == \"linux\""
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+    {file = "cryptography-44.0.1.tar.gz", hash = "sha256:f51f5705ab27898afda1aaa430f34ad90dc117421057782022edf0600bec5f14"},
 ]
 
 [package.dependencies]
@@ -917,7 +945,7 @@ nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2) ; python_version >= \"3.8\""]
 pep8test = ["check-sdist ; python_version >= \"3.8\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi (>=2024)", "cryptography-vectors (==44.0.0)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
+test = ["certifi (>=2024)", "cryptography-vectors (==44.0.1)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -1163,25 +1191,27 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.115.8"
+version = "0.121.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "extra == \"vllm\""
 files = [
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-    {file = "fastapi-0.115.8.tar.gz", hash = "sha256:0ce9111231720190473e222cdf0f07f7206ad7e53ea02beb1d2dc36e2f0741e9"},
+    {file = "fastapi-0.121.2-py3-none-any.whl", hash = "sha256:f2d80b49a86a846b70cc3a03eb5ea6ad2939298bf6a7fe377aa9cd3dd079d358"},
+    {file = "fastapi-0.121.2.tar.gz", hash = "sha256:ca8e932b2b823ec1721c641e3669472c855ad9564a2854c9899d904c2848b8b9"},
 ]
 
 [package.dependencies]
+annotated-doc = ">=0.0.2"
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.40.0,<0.46.0"
+starlette = ">=0.40.0,<0.50.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+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)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "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)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "filelock"
@@ -1453,12 +1483,12 @@ files = [
 google-auth = ">=2.14.1,<3.0.dev0"
 googleapis-common-protos = ">=1.56.2,<2.0.dev0"
 grpcio = [
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
 ]
 proto-plus = [
     {version = ">=1.22.3,<2.0.0dev"},
@@ -1825,31 +1855,67 @@ protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
 name = "h11"
-version = "0.14.0"
+version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
 files = [
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+    {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
 ]
 
+[[package]]
+name = "hf-xet"
+version = "1.2.0"
+description = "Fast transfer of large files with the Hugging Face Hub."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
+files = [
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+    {file = "hf_xet-1.2.0.tar.gz", hash = "sha256:a8c27070ca547293b6890c4bf389f713f80e8c478631432962bb7f4bc0bd7d7f"},
+]
+
+[package.extras]
+tests = ["pytest"]
+
 [[package]]
 name = "httpcore"
-version = "1.0.7"
+version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
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+    {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
+    {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
 ]
 
 [package.dependencies]
 certifi = "*"
-h11 = ">=0.13,<0.15"
+h11 = ">=0.16"
 
 [package.extras]
 asyncio = ["anyio (>=4.0,<5.0)"]
@@ -1942,19 +2008,20 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.28.1"
+version = "0.36.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
 files = [
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+    {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"},
+    {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"},
 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = ">=2023.5.0"
+hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -1962,16 +2029,19 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "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-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "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-requests", "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"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
+hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
 inference = ["aiohttp"]
-quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
+mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
+oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
+quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -2035,7 +2105,7 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev"]
+groups = ["dev"]
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -2477,14 +2547,14 @@ regex = ["regex"]
 
 [[package]]
 name = "litellm"
-version = "1.61.3"
+version = "1.61.15"
 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"
 groups = ["main"]
 files = [
-    {file = "litellm-1.61.3-py3-none-any.whl", hash = "sha256:c01145759260eeb7f624aba82e333804181da4c03fa5b980361490cdaf5b1e65"},
-    {file = "litellm-1.61.3.tar.gz", hash = "sha256:626ca5731cf640097e30b0b665ec282de2d2bd8b95cf6a41255819576201de03"},
+    {file = "litellm-1.61.15-py3-none-any.whl", hash = "sha256:977fd4e37491dd5adf14ed7c4d55bd099dd5ee7d40b8b8af5eba515d448013bb"},
+    {file = "litellm-1.61.15.tar.gz", hash = "sha256:f10ff155d8bca6cb0e2a1cc8d9aedbe6b390f73b30b9603e9cadb66b11472d44"},
 ]
 
 [package.dependencies]
@@ -2739,6 +2809,80 @@ typing-inspect = ">=0.9.0"
 [package.extras]
 gcp = ["google-auth (>=2.27.0)", "requests (>=2.32.3)"]
 
+[[package]]
+name = "mlx"
+version = "0.29.4"
+description = "A framework for machine learning on Apple silicon."
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
+files = [
+    {file = "mlx-0.29.4-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:b1f030cb5c15efb86605aca1537a751599a2040791e2dd25e10d7fdf35dce98a"},
+    {file = "mlx-0.29.4-cp310-cp310-macosx_15_0_arm64.whl", hash = "sha256:b26e3a9053693930c87690396614212a7436972bcfca66235b6056dcf9c4c600"},
+    {file = "mlx-0.29.4-cp310-cp310-manylinux_2_35_x86_64.whl", hash = "sha256:75d95ba021480143e844df2483dd6365a1437f9139f2544da2377001ad3d254e"},
+    {file = "mlx-0.29.4-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:c75df43f3083774ba1242b7e2659ab24640aa25cc8f17f3e1df28b1576a98bcf"},
+    {file = "mlx-0.29.4-cp311-cp311-macosx_15_0_arm64.whl", hash = "sha256:5d22dca9e301a8b2a7034e97ce426393d7a9de7684338a190bf931f81d8fa537"},
+    {file = "mlx-0.29.4-cp311-cp311-manylinux_2_35_x86_64.whl", hash = "sha256:5e62e84716245ed6d04a5eafdc4dce88439fe56cd50f70af485f4d6be5540ce2"},
+    {file = "mlx-0.29.4-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:5d9abfd01c6a4046018d07f5987921a08d29ef95b5522ed77ab79d6a093c8746"},
+    {file = "mlx-0.29.4-cp312-cp312-macosx_15_0_arm64.whl", hash = "sha256:4fef4fe5c879824253d21d65d25a88b25d8b9379e76eb98434d70d90ff1203e2"},
+    {file = "mlx-0.29.4-cp312-cp312-manylinux_2_35_x86_64.whl", hash = "sha256:0edbc7eae0fd2e2361cbfad785cec92930ed0dafb44c2fc1442bc45f36fd4a26"},
+    {file = "mlx-0.29.4-cp313-cp313-macosx_15_0_arm64.whl", hash = "sha256:12f9fd8e2a4c9fae68677ceca10962a5e89cf4a3d938a2ed0767c44bcf19abec"},
+    {file = "mlx-0.29.4-cp313-cp313-manylinux_2_35_x86_64.whl", hash = "sha256:cc4639d49c9b25f6abbdd630ddc2e03f87845da45c35c93e9452cb9925f1a79a"},
+    {file = "mlx-0.29.4-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:ca0d45e76d105b7f033dfd783ea255dec8134da88c5844c77cbebe8b1e7e950d"},
+    {file = "mlx-0.29.4-cp314-cp314-macosx_15_0_arm64.whl", hash = "sha256:cb2b5c9595c7f500151d6683ee5c6495a7ad662a51f6d4bc4af368f001d276fd"},
+    {file = "mlx-0.29.4-cp314-cp314-manylinux_2_35_x86_64.whl", hash = "sha256:f1a34409324fe985c6e1a6cd7904530cb84061d9b742911f051b5a91b766f717"},
+]
+
+[package.dependencies]
+mlx-metal = {version = "0.29.4", markers = "platform_system == \"Darwin\""}
+
+[package.extras]
+cpu = ["mlx-cpu (==0.29.4) ; platform_system == \"Linux\""]
+cuda = ["mlx-cuda (==0.29.4) ; platform_system == \"Linux\""]
+dev = ["nanobind (==2.4.0)", "numpy", "pre-commit", "setuptools (>=80)", "torch", "typing_extensions"]
+
+[[package]]
+name = "mlx-lm"
+version = "0.28.3"
+description = "LLMs with MLX and the Hugging Face Hub"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
+files = [
+    {file = "mlx_lm-0.28.3-py3-none-any.whl", hash = "sha256:ec103e2c9a06bd2cbafd41aafc975e40262176f7360d4f53ec342cebb9e0e6ea"},
+    {file = "mlx_lm-0.28.3.tar.gz", hash = "sha256:75df2b925d343ebaf50b63008dede4fe98cd3b02b1b24b7da71ebeb198d674f0"},
+]
+
+[package.dependencies]
+jinja2 = "*"
+mlx = {version = ">=0.29.2", markers = "platform_system == \"Darwin\""}
+numpy = "*"
+protobuf = "*"
+pyyaml = "*"
+transformers = ">=4.39.3"
+
+[package.extras]
+cpu = ["mlx[cpu] (>=0.29.2)"]
+cuda = ["mlx[cuda] (>=0.29.2)"]
+evaluate = ["lm-eval", "tqdm"]
+test = ["datasets", "lm-eval"]
+train = ["datasets", "tqdm"]
+
+[[package]]
+name = "mlx-metal"
+version = "0.29.4"
+description = "A framework for machine learning on Apple silicon."
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
+files = [
+    {file = "mlx_metal-0.29.4-py3-none-macosx_14_0_arm64.whl", hash = "sha256:6068e4149cafaa18b782949f6dcd734351bc61d5a3fd2d5f71b2a63c73772dfe"},
+    {file = "mlx_metal-0.29.4-py3-none-macosx_15_0_arm64.whl", hash = "sha256:1ea68296d151d35ecdd76c3bf244affe12172b9f646dd54174e4e833f4972c52"},
+]
+
 [[package]]
 name = "monotonic"
 version = "1.6"
@@ -2767,10 +2911,9 @@ files = [
 name = "mpmath"
 version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
-optional = true
+optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "extra == \"vllm\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -2789,7 +2932,7 @@ description = "MessagePack serializer"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"vllm\" or extra == \"code-execution\""
+markers = "extra == \"code-execution\" or extra == \"vllm\""
 files = [
     {file = "msgpack-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7ad442d527a7e358a469faf43fda45aaf4ac3249c8310a82f0ccff9164e5dccd"},
     {file = "msgpack-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:74bed8f63f8f14d75eec75cf3d04ad581da6b914001b474a5d3cd3372c8cc27d"},
@@ -3069,10 +3212,9 @@ files = [
 name = "networkx"
 version = "3.4.2"
 description = "Python package for creating and manipulating graphs and networks"
-optional = true
+optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "extra == \"vllm\""
 files = [
     {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
     {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
@@ -3120,6 +3262,35 @@ files = [
     {file = "nh3-0.2.20.tar.gz", hash = "sha256:9705c42d7ff88a0bea546c82d7fe5e59135e3d3f057e485394f491248a1f8ed5"},
 ]
 
+[[package]]
+name = "ninja"
+version = "1.13.0"
+description = "Ninja is a small build system with a focus on speed"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "ninja-1.13.0-py3-none-macosx_10_9_universal2.whl", hash = "sha256:fa2a8bfc62e31b08f83127d1613d10821775a0eb334197154c4d6067b7068ff1"},
+    {file = "ninja-1.13.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3d00c692fb717fd511abeb44b8c5d00340c36938c12d6538ba989fe764e79630"},
+    {file = "ninja-1.13.0-py3-none-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:be7f478ff9f96a128b599a964fc60a6a87b9fa332ee1bd44fa243ac88d50291c"},
+    {file = "ninja-1.13.0-py3-none-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:60056592cf495e9a6a4bea3cd178903056ecb0943e4de45a2ea825edb6dc8d3e"},
+    {file = "ninja-1.13.0-py3-none-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:1c97223cdda0417f414bf864cfb73b72d8777e57ebb279c5f6de368de0062988"},
+    {file = "ninja-1.13.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fb46acf6b93b8dd0322adc3a4945452a4e774b75b91293bafcc7b7f8e6517dfa"},
+    {file = "ninja-1.13.0-py3-none-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:4be9c1b082d244b1ad7ef41eb8ab088aae8c109a9f3f0b3e56a252d3e00f42c1"},
+    {file = "ninja-1.13.0-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:6739d3352073341ad284246f81339a384eec091d9851a886dfa5b00a6d48b3e2"},
+    {file = "ninja-1.13.0-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:11be2d22027bde06f14c343f01d31446747dbb51e72d00decca2eb99be911e2f"},
+    {file = "ninja-1.13.0-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:aa45b4037b313c2f698bc13306239b8b93b4680eb47e287773156ac9e9304714"},
+    {file = "ninja-1.13.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:5f8e1e8a1a30835eeb51db05cf5a67151ad37542f5a4af2a438e9490915e5b72"},
+    {file = "ninja-1.13.0-py3-none-musllinux_1_2_ppc64le.whl", hash = "sha256:3d7d7779d12cb20c6d054c61b702139fd23a7a964ec8f2c823f1ab1b084150db"},
+    {file = "ninja-1.13.0-py3-none-musllinux_1_2_riscv64.whl", hash = "sha256:d741a5e6754e0bda767e3274a0f0deeef4807f1fec6c0d7921a0244018926ae5"},
+    {file = "ninja-1.13.0-py3-none-musllinux_1_2_s390x.whl", hash = "sha256:e8bad11f8a00b64137e9b315b137d8bb6cbf3086fbdc43bf1f90fd33324d2e96"},
+    {file = "ninja-1.13.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b4f2a072db3c0f944c32793e91532d8948d20d9ab83da9c0c7c15b5768072200"},
+    {file = "ninja-1.13.0-py3-none-win32.whl", hash = "sha256:8cfbb80b4a53456ae8a39f90ae3d7a2129f45ea164f43fadfa15dc38c4aef1c9"},
+    {file = "ninja-1.13.0-py3-none-win_amd64.whl", hash = "sha256:fb8ee8719f8af47fed145cced4a85f0755dd55d45b2bddaf7431fa89803c5f3e"},
+    {file = "ninja-1.13.0-py3-none-win_arm64.whl", hash = "sha256:3c0b40b1f0bba764644385319028650087b4c1b18cdfa6f45cb39a3669b81aa9"},
+    {file = "ninja-1.13.0.tar.gz", hash = "sha256:4a40ce995ded54d9dc24f8ea37ff3bf62ad192b547f6c7126e7e25045e76f978"},
+]
+
 [[package]]
 name = "nodeenv"
 version = "1.9.1"
@@ -3182,10 +3353,10 @@ files = [
 name = "nvidia-cublas-cu12"
 version = "12.4.5.8"
 description = "CUBLAS native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0f8aa1706812e00b9f19dfe0cdb3999b092ccb8ca168c0db5b8ea712456fd9b3"},
     {file = "nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl", hash = "sha256:2fc8da60df463fdefa81e323eef2e36489e1c94335b5358bcb38360adf75ac9b"},
@@ -3196,10 +3367,10 @@ files = [
 name = "nvidia-cuda-cupti-cu12"
 version = "12.4.127"
 description = "CUDA profiling tools runtime libs."
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:79279b35cf6f91da114182a5ce1864997fd52294a87a16179ce275773799458a"},
     {file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9dec60f5ac126f7bb551c055072b69d85392b13311fcc1bcda2202d172df30fb"},
@@ -3210,10 +3381,10 @@ files = [
 name = "nvidia-cuda-nvrtc-cu12"
 version = "12.4.127"
 description = "NVRTC native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0eedf14185e04b76aa05b1fea04133e59f465b6f960c0cbf4e37c3cb6b0ea198"},
     {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a178759ebb095827bd30ef56598ec182b85547f1508941a3d560eb7ea1fbf338"},
@@ -3224,10 +3395,10 @@ files = [
 name = "nvidia-cuda-runtime-cu12"
 version = "12.4.127"
 description = "CUDA Runtime native Libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:961fe0e2e716a2a1d967aab7caee97512f71767f852f67432d572e36cb3a11f3"},
     {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5"},
@@ -3238,10 +3409,10 @@ files = [
 name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 description = "cuDNN runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"},
     {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"},
@@ -3254,10 +3425,10 @@ nvidia-cublas-cu12 = "*"
 name = "nvidia-cufft-cu12"
 version = "11.2.1.3"
 description = "CUFFT native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399"},
     {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9"},
@@ -3271,10 +3442,10 @@ nvidia-nvjitlink-cu12 = "*"
 name = "nvidia-curand-cu12"
 version = "10.3.5.147"
 description = "CURAND native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1f173f09e3e3c76ab084aba0de819c49e56614feae5c12f69883f4ae9bb5fad9"},
     {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a88f583d4e0bb643c49743469964103aa59f7f708d862c3ddb0fc07f851e3b8b"},
@@ -3285,10 +3456,10 @@ files = [
 name = "nvidia-cusolver-cu12"
 version = "11.6.1.9"
 description = "CUDA solver native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e"},
     {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260"},
@@ -3304,10 +3475,10 @@ nvidia-nvjitlink-cu12 = "*"
 name = "nvidia-cusparse-cu12"
 version = "12.3.1.170"
 description = "CUSPARSE native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3"},
     {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1"},
@@ -3334,10 +3505,10 @@ files = [
 name = "nvidia-nccl-cu12"
 version = "2.21.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0"},
 ]
@@ -3346,10 +3517,10 @@ files = [
 name = "nvidia-nvjitlink-cu12"
 version = "12.4.127"
 description = "Nvidia JIT LTO Library"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83"},
     {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"},
@@ -3360,10 +3531,10 @@ files = [
 name = "nvidia-nvtx-cu12"
 version = "12.4.127"
 description = "NVIDIA Tools Extension"
-optional = true
+optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7959ad635db13edf4fc65c06a6e9f9e55fc2f92596db928d169c0bb031e88ef3"},
     {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:781e950d9b9f60d8241ccea575b32f5105a5baf4c2351cab5256a24869f12a1a"},
@@ -3447,9 +3618,9 @@ files = [
 
 [package.dependencies]
 numpy = [
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 
@@ -3591,8 +3762,8 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
     {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
@@ -3777,7 +3948,7 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
+groups = ["dev"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -3976,23 +4147,23 @@ testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "5.29.3"
+version = "5.29.5"
 description = ""
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "protobuf-5.29.3-cp310-abi3-win32.whl", hash = "sha256:3ea51771449e1035f26069c4c7fd51fba990d07bc55ba80701c78f886bf9c888"},
-    {file = "protobuf-5.29.3-cp310-abi3-win_amd64.whl", hash = "sha256:a4fa6f80816a9a0678429e84973f2f98cbc218cca434abe8db2ad0bffc98503a"},
-    {file = "protobuf-5.29.3-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:a8434404bbf139aa9e1300dbf989667a83d42ddda9153d8ab76e0d5dcaca484e"},
-    {file = "protobuf-5.29.3-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:daaf63f70f25e8689c072cfad4334ca0ac1d1e05a92fc15c54eb9cf23c3efd84"},
-    {file = "protobuf-5.29.3-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:c027e08a08be10b67c06bf2370b99c811c466398c357e615ca88c91c07f0910f"},
-    {file = "protobuf-5.29.3-cp38-cp38-win32.whl", hash = "sha256:84a57163a0ccef3f96e4b6a20516cedcf5bb3a95a657131c5c3ac62200d23252"},
-    {file = "protobuf-5.29.3-cp38-cp38-win_amd64.whl", hash = "sha256:b89c115d877892a512f79a8114564fb435943b59067615894c3b13cd3e1fa107"},
-    {file = "protobuf-5.29.3-cp39-cp39-win32.whl", hash = "sha256:0eb32bfa5219fc8d4111803e9a690658aa2e6366384fd0851064b963b6d1f2a7"},
-    {file = "protobuf-5.29.3-cp39-cp39-win_amd64.whl", hash = "sha256:6ce8cc3389a20693bfde6c6562e03474c40851b44975c9b2bf6df7d8c4f864da"},
-    {file = "protobuf-5.29.3-py3-none-any.whl", hash = "sha256:0a18ed4a24198528f2333802eb075e59dea9d679ab7a6c5efb017a59004d849f"},
-    {file = "protobuf-5.29.3.tar.gz", hash = "sha256:5da0f41edaf117bde316404bad1a486cb4ededf8e4a54891296f648e8e076620"},
+    {file = "protobuf-5.29.5-cp310-abi3-win32.whl", hash = "sha256:3f1c6468a2cfd102ff4703976138844f78ebd1fb45f49011afc5139e9e283079"},
+    {file = "protobuf-5.29.5-cp310-abi3-win_amd64.whl", hash = "sha256:3f76e3a3675b4a4d867b52e4a5f5b78a2ef9565549d4037e06cf7b0942b1d3fc"},
+    {file = "protobuf-5.29.5-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e38c5add5a311f2a6eb0340716ef9b039c1dfa428b28f25a7838ac329204a671"},
+    {file = "protobuf-5.29.5-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:fa18533a299d7ab6c55a238bf8629311439995f2e7eca5caaff08663606e9015"},
+    {file = "protobuf-5.29.5-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:63848923da3325e1bf7e9003d680ce6e14b07e55d0473253a690c3a8b8fd6e61"},
+    {file = "protobuf-5.29.5-cp38-cp38-win32.whl", hash = "sha256:ef91363ad4faba7b25d844ef1ada59ff1604184c0bcd8b39b8a6bef15e1af238"},
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 ]
 
 [[package]]
@@ -4140,22 +4311,6 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.4.6,<0.7.0"
 
-[[package]]
-name = "pybind11"
-version = "2.13.6"
-description = "Seamless operability between C++11 and Python"
-optional = true
-python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"vllm\" and platform_machine == \"x86_64\""
-files = [
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-]
-
-[package.extras]
-global = ["pybind11-global (==2.13.6)"]
-
 [[package]]
 name = "pycountry"
 version = "24.6.1"
@@ -4180,7 +4335,7 @@ files = [
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 ]
-markers = {main = "extra == \"vllm\" and implementation_name == \"pypy\"", dev = "platform_python_implementation != \"PyPy\" and sys_platform == \"linux\""}
+markers = {main = "implementation_name == \"pypy\" and extra == \"vllm\"", dev = "platform_python_implementation != \"PyPy\" and sys_platform == \"linux\""}
 
 [[package]]
 name = "pydantic"
@@ -4352,7 +4507,7 @@ version = "8.3.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
+groups = ["dev"]
 files = [
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@@ -4680,33 +4835,33 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "ray"
-version = "2.41.0"
+version = "2.43.0"
 description = "Ray provides a simple, universal API for building distributed applications."
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"vllm\" or extra == \"code-execution\""
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 ]
 
 [package.dependencies]
@@ -4738,17 +4893,18 @@ virtualenv = {version = ">=20.0.24,<20.21.1 || >20.21.1", optional = true, marke
 adag = ["cupy-cuda12x ; sys_platform != \"darwin\""]
 air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
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+all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.43.0)", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 cgraph = ["cupy-cuda12x ; sys_platform != \"darwin\""]
 client = ["grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\""]
-cpp = ["ray-cpp (==2.41.0)"]
+cpp = ["ray-cpp (==2.43.0)"]
 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)"]
 default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
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 observability = ["memray ; sys_platform != \"win32\"", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 rllib = ["dm-tree", "fsspec", "gymnasium (==1.0.0)", "lz4", "ormsgpack (==1.7.0)", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pyyaml", "requests", "scipy", "tensorboardX (>=1.9)"]
 serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-train = ["fsspec", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "requests", "tensorboardX (>=1.9)"]
+train = ["fsspec", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "tensorboardX (>=1.9)"]
 tune = ["fsspec", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "requests", "tensorboardX (>=1.9)"]
 
 [[package]]
@@ -4894,19 +5050,19 @@ files = [
 
 [[package]]
 name = "requests"
-version = "2.32.3"
+version = "2.32.4"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev"]
 files = [
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-    {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
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+    {file = "requests-2.32.4.tar.gz", hash = "sha256:27d0316682c8a29834d3264820024b62a36942083d52caf2f14c0591336d3422"},
 ]
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-charset-normalizer = ">=2,<4"
+charset_normalizer = ">=2,<4"
 idna = ">=2.5,<4"
 urllib3 = ">=1.21.1,<3"
 
@@ -5124,10 +5280,9 @@ files = [
 name = "safetensors"
 version = "0.5.2"
 description = ""
-optional = true
+optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"vllm\""
 files = [
     {file = "safetensors-0.5.2-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:45b6092997ceb8aa3801693781a71a99909ab9cc776fbc3fa9322d29b1d3bef2"},
     {file = "safetensors-0.5.2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:6d0d6a8ee2215a440e1296b843edf44fd377b055ba350eaba74655a2fe2c4bae"},
@@ -5242,20 +5397,20 @@ files = [
 
 [[package]]
 name = "setuptools"
-version = "75.8.0"
+version = "78.1.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "dev"]
 files = [
-    {file = "setuptools-75.8.0-py3-none-any.whl", hash = "sha256:e3982f444617239225d675215d51f6ba05f845d4eec313da4418fdbb56fb27e3"},
-    {file = "setuptools-75.8.0.tar.gz", hash = "sha256:c5afc8f407c626b8313a86e10311dd3f661c6cd9c09d4bf8c15c0e11f9f2b0e6"},
+    {file = "setuptools-78.1.1-py3-none-any.whl", hash = "sha256:c3a9c4211ff4c309edb8b8c4f1cbfa7ae324c4ba9f91ff254e3d305b9fd54561"},
+    {file = "setuptools-78.1.1.tar.gz", hash = "sha256:fcc17fd9cd898242f6b4adfaca46137a9edef687f43e6f78469692a5e70d851d"},
 ]
-markers = {main = "python_version >= \"3.12\" and extra == \"vllm\""}
+markers = {main = "python_version >= \"3.12\""}
 
 [package.extras]
 check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""]
-core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.collections", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
+core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -5386,19 +5541,20 @@ files = [
 
 [[package]]
 name = "starlette"
-version = "0.45.3"
+version = "0.49.1"
 description = "The little ASGI library that shines."
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"vllm\""
 files = [
-    {file = "starlette-0.45.3-py3-none-any.whl", hash = "sha256:dfb6d332576f136ec740296c7e8bb8c8a7125044e7c6da30744718880cdd059d"},
-    {file = "starlette-0.45.3.tar.gz", hash = "sha256:2cbcba2a75806f8a41c722141486f37c28e30a0921c5f6fe4346cb0dcee1302f"},
+    {file = "starlette-0.49.1-py3-none-any.whl", hash = "sha256:d92ce9f07e4a3caa3ac13a79523bd18e3bc0042bb8ff2d759a8e7dd0e1859875"},
+    {file = "starlette-0.49.1.tar.gz", hash = "sha256:481a43b71e24ed8c43b11ea02f5353d77840e01480881b8cb5a26b8cae64a8cb"},
 ]
 
 [package.dependencies]
 anyio = ">=3.6.2,<5"
+typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""}
 
 [package.extras]
 full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
@@ -5407,10 +5563,9 @@ full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart
 name = "sympy"
 version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
-optional = true
+optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"vllm\""
 files = [
     {file = "sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"},
     {file = "sympy-1.13.1.tar.gz", hash = "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f"},
@@ -5530,7 +5685,7 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
+groups = ["dev"]
 markers = "python_version == \"3.10\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
@@ -5571,10 +5726,9 @@ files = [
 name = "torch"
 version = "2.5.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
-markers = "extra == \"vllm\""
 files = [
     {file = "torch-2.5.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:71328e1bbe39d213b8721678f9dcac30dfc452a46d586f1d514a6aa0a99d4744"},
     {file = "torch-2.5.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:34bfa1a852e5714cbfa17f27c49d8ce35e1b7af5608c4bc6e81392c352dbc601"},
@@ -5681,83 +5835,85 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.48.2"
+version = "4.53.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
-optional = true
+optional = false
 python-versions = ">=3.9.0"
 groups = ["main"]
-markers = "extra == \"vllm\""
 files = [
-    {file = "transformers-4.48.2-py3-none-any.whl", hash = "sha256:493bc5b0268b116eff305edf6656367fc89cf570e7a9d5891369e04751db698a"},
-    {file = "transformers-4.48.2.tar.gz", hash = "sha256:dcfb73473e61f22fb3366fe2471ed2e42779ecdd49527a1bdf1937574855d516"},
+    {file = "transformers-4.53.0-py3-none-any.whl", hash = "sha256:7d8039ff032c01a2d7f8a8fe0066620367003275f023815a966e62203f9f5dd7"},
+    {file = "transformers-4.53.0.tar.gz", hash = "sha256:f89520011b4a73066fdc7aabfa158317c3934a22e3cd652d7ffbc512c4063841"},
 ]
 
 [package.dependencies]
 filelock = "*"
-huggingface-hub = ">=0.24.0,<1.0"
+huggingface-hub = ">=0.30.0,<1.0"
 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
-safetensors = ">=0.4.1"
+safetensors = ">=0.4.3"
 tokenizers = ">=0.21,<0.22"
 tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.26.0)"]
-agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=2.0)"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<0.7)", "librosa", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 benchmark = ["optimum-benchmark (>=0.3.0)"]
 codecarbon = ["codecarbon (>=2.8.1)"]
 deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
-deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<0.7)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "kenlm", "kernels (>=0.6.1,<0.7)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
-integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
+hf-xet = ["hf-xet"]
+hub-kernels = ["kernels (>=0.6.1,<0.7)"]
+integrations = ["kernels (>=0.6.1,<0.7)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
 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)"]
 modelcreation = ["cookiecutter (==1.7.3)"]
 natten = ["natten (>=0.14.6,<0.15.0)"]
+num2words = ["num2words"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
-ruff = ["ruff (==0.5.1)"]
+ruff = ["ruff (==0.11.2)"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
 serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (<=1.0.11)"]
 tokenizers = ["tokenizers (>=0.21,<0.22)"]
-torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"]
+torch = ["accelerate (>=0.26.0)", "torch (>=2.1)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.24.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
-video = ["av (==9.2.0)"]
+torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "tqdm (>=4.27)"]
+video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
 version = "3.1.0"
 description = "A language and compiler for custom Deep Learning operations"
-optional = true
+optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "(python_version == \"3.10\" or python_version == \"3.11\" or python_version == \"3.12\") and platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b0dd10a925263abbe9fa37dcde67a5e9b2383fc269fdf59f5657cac38c5d1d8"},
     {file = "triton-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f34f6e7885d1bf0eaaf7ba875a5f0ce6f3c13ba98f9503651c1e6dc6757ed5c"},
@@ -5928,7 +6084,7 @@ description = "Fast implementation of asyncio event loop on top of libuv"
 optional = true
 python-versions = ">=3.8.0"
 groups = ["main"]
-markers = "platform_python_implementation != \"PyPy\" and sys_platform != \"win32\" and sys_platform != \"cygwin\" and extra == \"vllm\""
+markers = "platform_python_implementation != \"PyPy\" and extra == \"vllm\" and sys_platform != \"win32\" and sys_platform != \"cygwin\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -6384,7 +6540,7 @@ description = "XFormers: A collection of composable Transformer building blocks.
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"vllm\""
+markers = "platform_machine == \"x86_64\" and extra == \"vllm\" and platform_system == \"Linux\""
 files = [
     {file = "xformers-0.0.28.post3-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:648483325366fb3c6a42246f99646101d3cfd678725b3ffc50a4708a222ae973"},
     {file = "xformers-0.0.28.post3-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:825563e129f6b22885c2a91e464ff617382f4d78876cc92d96ff618e875aaee3"},
@@ -6399,35 +6555,48 @@ torch = "2.5.1"
 
 [[package]]
 name = "xgrammar"
-version = "0.1.11"
+version = "0.1.21"
 description = "Efficient, Flexible and Portable Structured Generation"
-optional = true
+optional = false
 python-versions = "<4,>=3.8"
 groups = ["main"]
-markers = "extra == \"vllm\" and platform_machine == \"x86_64\""
 files = [
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+    {file = "xgrammar-0.1.21-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a"},
+    {file = "xgrammar-0.1.21-cp39-cp39-win_amd64.whl", hash = "sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb"},
+    {file = "xgrammar-0.1.21.tar.gz", hash = "sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57"},
 ]
 
 [package.dependencies]
-pybind11 = "*"
+mlx-lm = {version = "*", markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""}
+ninja = "*"
 pydantic = "*"
-pytest = "*"
-sentencepiece = "*"
-tiktoken = "*"
-torch = "*"
-transformers = "*"
+torch = ">=1.10.0"
+transformers = ">=4.38.0"
+triton = {version = "*", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+
+[package.extras]
+test = ["huggingface-hub[cli]", "protobuf", "pytest", "sentencepiece", "tiktoken", "transformers (<4.50.0) ; platform_system == \"Darwin\""]
 
 [[package]]
 name = "xxhash"
@@ -6686,4 +6855,4 @@ vllm = ["vllm"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "7068a41edbe8f0e15ed5a6f1456e8b39810e14f22f6bf73f337d14850767d6bc"
+content-hash = "6edfedeb073b8d43865579de6adc67015624e16652699a955266d64e38158340"
diff --git a/pyproject.toml b/pyproject.toml
index e40627a7..a35e2f19 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -29,7 +29,7 @@ tqdm = "^4.67.0"
 matplotlib = "^3.9.2"
 nest-asyncio = "^1.6.0"
 rich = "^13.7.0"
-litellm = "1.61.3"
+litellm = "1.61.15"
 tiktoken = ">=0.7.0"
 aiofiles = ">=22.0,<24.0"
 anthropic = "^0.47.2"