diff --git a/poetry.lock b/poetry.lock
index af4bcb0e5..d4e2e7133 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 2.1.3 and should not be changed by hand.
 
 [[package]]
 name = "aiocache"
@@ -407,7 +407,7 @@ files = [
     {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
-markers = {main = "python_full_version < \"3.11.3\" and (python_version <= \"3.10\" or extra == \"manifest\")", api = "python_version <= \"3.10\""}
+markers = {main = "python_full_version < \"3.11.3\" and (python_version < \"3.11\" or extra == \"manifest\")", api = "python_version < \"3.11\""}
 
 [[package]]
 name = "attrs"
@@ -496,7 +496,7 @@ files = [
     {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
     {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
 ]
-markers = {main = "extra == \"llama\" or extra == \"docs-build\""}
+markers = {main = "extra == \"docs-build\" or extra == \"llama\""}
 
 [package.dependencies]
 soupsieve = ">1.2"
@@ -627,8 +627,8 @@ files = [
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 urllib3 = [
-    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
     {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
+    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
 ]
 
 [package.extras]
@@ -1574,7 +1574,7 @@ description = "Like `typing._eval_type`, but lets older Python versions use newe
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version < \"3.10\" and extra == \"llama\""
+markers = "python_version == \"3.9\" and extra == \"llama\""
 files = [
     {file = "eval_type_backport-0.2.2-py3-none-any.whl", hash = "sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a"},
     {file = "eval_type_backport-0.2.2.tar.gz", hash = "sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1"},
@@ -1590,7 +1590,7 @@ description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "api", "dev", "docs"]
-markers = "python_version <= \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -2186,7 +2186,7 @@ graphql-core = ">=3.2,<3.3"
 name = "greenlet"
 version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
-optional = true
+optional = false
 python-versions = ">=3.7"
 groups = ["main", "api"]
 files = [
@@ -2264,7 +2264,7 @@ files = [
     {file = "greenlet-3.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:3319aa75e0e0639bc15ff54ca327e8dc7a6fe404003496e3c6925cd3142e0e22"},
     {file = "greenlet-3.1.1.tar.gz", hash = "sha256:4ce3ac6cdb6adf7946475d7ef31777c26d94bccc377e070a7986bd2d5c515467"},
 ]
-markers = {main = "platform_system != \"Windows\" and python_version >= \"3.13\" and extra == \"llama\" or platform_system != \"Windows\" 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 == \"llama\" or platform_system != \"Windows\" 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 python_version < \"3.10\" or (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 == \"llama\" and python_version < \"3.13\"", api = "python_version < \"3.10\" 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 platform_system != \"Windows\""}
+markers = {main = "python_version < \"3.13\" 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 == \"llama\" or python_version == \"3.9\") and (platform_system != \"Windows\" or extra == \"llama\")", api = "python_version == \"3.9\" 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 platform_system != \"Windows\""}
 
 [package.extras]
 docs = ["Sphinx", "furo"]
@@ -2431,7 +2431,7 @@ description = "WSGI HTTP Server for UNIX"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "platform_system != \"Windows\" and extra == \"databricks\""
+markers = "extra == \"databricks\" and platform_system != \"Windows\""
 files = [
     {file = "gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d"},
     {file = "gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec"},
@@ -2449,31 +2449,31 @@ tornado = ["tornado (>=0.2)"]
 
 [[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", "api"]
 files = [
-    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
-    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
+    {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
+    {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
 ]
 
 [[package]]
 name = "httpcore"
-version = "1.0.6"
+version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "api"]
 files = [
-    {file = "httpcore-1.0.6-py3-none-any.whl", hash = "sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f"},
-    {file = "httpcore-1.0.6.tar.gz", hash = "sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f"},
+    {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)"]
@@ -2596,7 +2596,7 @@ files = [
     {file = "importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1"},
     {file = "importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5"},
 ]
-markers = {docs = "python_version < \"3.10\""}
+markers = {docs = "python_version == \"3.9\""}
 
 [package.dependencies]
 zipp = ">=0.5"
@@ -2613,7 +2613,7 @@ description = "Read resources from Python packages"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version < \"3.10\" and extra == \"databricks\""
+markers = "python_version == \"3.9\" and extra == \"databricks\""
 files = [
     {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
     {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
@@ -2986,7 +2986,7 @@ description = "Lightweight pipelining with Python functions"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"llama\" or extra == \"databricks\""
+markers = "extra == \"databricks\" or extra == \"llama\""
 files = [
     {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
     {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
@@ -3596,8 +3596,8 @@ jsonpatch = ">=1.33,<2.0"
 langsmith = ">=0.1.125,<0.2.0"
 packaging = ">=23.2,<25"
 pydantic = [
-    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
     {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
 ]
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
@@ -3619,8 +3619,8 @@ files = [
 httpx = ">=0.23.0,<1"
 orjson = ">=3.9.14,<4.0.0"
 pydantic = [
-    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
     {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
 ]
 requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
@@ -3643,32 +3643,32 @@ toml = "*"
 
 [[package]]
 name = "litellm"
-version = "1.50.1"
+version = "1.67.5"
 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", "api"]
 files = [
-    {file = "litellm-1.50.1-py3-none-any.whl", hash = "sha256:7606ee74f8ad0f31814587861cc94e724fa7951381135e17ca69deddd1acde08"},
-    {file = "litellm-1.50.1.tar.gz", hash = "sha256:ddda7ac94d769734e7c38866d0dc1a94c3e3fe5af2a111fcf04c97cc6d6e847a"},
+    {file = "litellm-1.67.5-py3-none-any.whl", hash = "sha256:bd3329731a36200539293521d312adf4f05fc4a6312a84baff2ce5a8b1507a43"},
+    {file = "litellm-1.67.5.tar.gz", hash = "sha256:a9c73feed05aba33b3f2879658f57bb3480b43404ae693ebc827f1c157affde5"},
 ]
 
 [package.dependencies]
 aiohttp = "*"
 click = "*"
+httpx = ">=0.23.0"
 importlib-metadata = ">=6.8.0"
 jinja2 = ">=3.1.2,<4.0.0"
 jsonschema = ">=4.22.0,<5.0.0"
-openai = ">=1.52.0"
+openai = ">=1.68.2"
 pydantic = ">=2.0.0,<3.0.0"
 python-dotenv = ">=0.2.0"
-requests = ">=2.31.0,<3.0.0"
 tiktoken = ">=0.7.0"
 tokenizers = "*"
 
 [package.extras]
-extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
-proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
+extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "redisvl (>=0.4.1,<0.5.0) ; python_version >= \"3.9\" and python_version < \"3.14\"", "resend (>=0.8.0,<0.9.0)"]
+proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "boto3 (==1.34.34)", "cryptography (>=43.0.1,<44.0.0)", "fastapi (>=0.115.5,<0.116.0)", "fastapi-sso (>=0.16.0,<0.17.0)", "gunicorn (>=23.0.0,<24.0.0)", "litellm-proxy-extras (==0.1.13)", "mcp (==1.5.0) ; python_version >= \"3.10\"", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.18,<0.0.19)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.29.0,<0.30.0)", "uvloop (>=0.21.0,<0.22.0)", "websockets (>=13.1.0,<14.0.0)"]
 
 [[package]]
 name = "llama-cloud"
@@ -3989,7 +3989,6 @@ files = [
     {file = "lxml-4.9.4-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d"},
     {file = "lxml-4.9.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20"},
     {file = "lxml-4.9.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10"},
-    {file = "lxml-4.9.4-cp312-cp312-win32.whl", hash = "sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b"},
     {file = "lxml-4.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56"},
     {file = "lxml-4.9.4-cp35-cp35m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20"},
     {file = "lxml-4.9.4-cp35-cp35m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66"},
@@ -4992,7 +4991,7 @@ files = [
     {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
 ]
-markers = {main = "extra == \"llama\" or extra == \"docs-build\""}
+markers = {main = "extra == \"docs-build\" or extra == \"llama\""}
 
 [[package]]
 name = "networkx"
@@ -5001,7 +5000,7 @@ description = "Python package for creating and manipulating graphs and networks"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"llama\" or extra == \"huggingface\""
+markers = "extra == \"huggingface\" or extra == \"llama\""
 files = [
     {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
     {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
@@ -5173,7 +5172,7 @@ description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"llama\" or extra == \"databricks\" or extra == \"vectordb\" or extra == \"manifest\" or extra == \"huggingface\""
+markers = "extra == \"databricks\" or extra == \"llama\" or extra == \"vectordb\" or extra == \"manifest\" or extra == \"huggingface\""
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -5235,71 +5234,76 @@ testing = ["matplotlib", "pytest", "pytest-cov"]
 
 [[package]]
 name = "nvidia-cublas-cu12"
-version = "12.4.5.8"
+version = "12.6.4.1"
 description = "CUBLAS native runtime libraries"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_cublas_cu12-12.4.5.8-py3-none-win_amd64.whl", hash = "sha256:5a796786da89203a0657eda402bcdcec6180254a8ac22d72213abc42069522dc"},
+    {file = "nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08ed2686e9875d01b58e3cb379c6896df8e76c75e0d4a7f7dace3d7b6d9ef8eb"},
+    {file = "nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:235f728d6e2a409eddf1df58d5b0921cf80cfa9e72b9f2775ccb7b4a87984668"},
+    {file = "nvidia_cublas_cu12-12.6.4.1-py3-none-win_amd64.whl", hash = "sha256:9e4fa264f4d8a4eb0cdbd34beadc029f453b3bafae02401e999cf3d5a5af75f8"},
 ]
 
 [[package]]
 name = "nvidia-cuda-cupti-cu12"
-version = "12.4.127"
+version = "12.6.80"
 description = "CUDA profiling tools runtime libs."
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:5688d203301ab051449a2b1cb6690fbe90d2b372f411521c86018b950f3d7922"},
+    {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:166ee35a3ff1587f2490364f90eeeb8da06cd867bd5b701bf7f9a02b78bc63fc"},
+    {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_aarch64.whl", hash = "sha256:358b4a1d35370353d52e12f0a7d1769fc01ff74a191689d3870b2123156184c4"},
+    {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6768bad6cab4f19e8292125e5f1ac8aa7d1718704012a0e3272a6f61c4bce132"},
+    {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a3eff6cdfcc6a4c35db968a06fcadb061cbc7d6dde548609a941ff8701b98b73"},
+    {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-win_amd64.whl", hash = "sha256:bbe6ae76e83ce5251b56e8c8e61a964f757175682bbad058b170b136266ab00a"},
 ]
 
 [[package]]
 name = "nvidia-cuda-nvrtc-cu12"
-version = "12.4.127"
+version = "12.6.77"
 description = "NVRTC native runtime libraries"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:a961b2f1d5f17b14867c619ceb99ef6fcec12e46612711bcec78eb05068a60ec"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5847f1d6e5b757f1d2b3991a01082a44aad6f10ab3c5c0213fa3e25bddc25a13"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:35b0cc6ee3a9636d5409133e79273ce1f3fd087abb0532d2d2e8fff1fe9efc53"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:f7007dbd914c56bd80ea31bc43e8e149da38f68158f423ba845fc3292684e45a"},
 ]
 
 [[package]]
 name = "nvidia-cuda-runtime-cu12"
-version = "12.4.127"
+version = "12.6.77"
 description = "CUDA Runtime native Libraries"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:09c2e35f48359752dfa822c09918211844a3d93c100a715d79b59591130c5e1e"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6116fad3e049e04791c0256a9778c16237837c08b27ed8c8401e2e45de8d60cd"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d461264ecb429c84c8879a7153499ddc7b19b5f8d84c204307491989a365588e"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ba3b56a4f896141e25e19ab287cd71e52a6a0f4b29d0d31609f60e3b4d5219b7"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a84d15d5e1da416dd4774cb42edf5e954a3e60cc945698dc1d5be02321c44dc8"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:86c58044c824bf3c173c49a2dbc7a6c8b53cb4e4dca50068be0bf64e9dab3f7f"},
 ]
 
 [[package]]
 name = "nvidia-cudnn-cu12"
-version = "9.1.0.70"
+version = "9.5.1.17"
 description = "cuDNN runtime libraries"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
+    {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def"},
+    {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2"},
+    {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-win_amd64.whl", hash = "sha256:d7af0f8a4f3b4b9dbb3122f2ef553b45694ed9c384d5a75bab197b8eefb79ab8"},
 ]
 
 [package.dependencies]
@@ -5307,47 +5311,66 @@ nvidia-cublas-cu12 = "*"
 
 [[package]]
 name = "nvidia-cufft-cu12"
-version = "11.2.1.3"
+version = "11.3.0.4"
 description = "CUFFT native runtime libraries"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-win_amd64.whl", hash = "sha256:d802f4954291101186078ccbe22fc285a902136f974d369540fd4a5333d1440b"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8510990de9f96c803a051822618d42bf6cb8f069ff3f48d93a8486efdacb48fb"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.whl", hash = "sha256:768160ac89f6f7b459bee747e8d175dbf53619cfe74b2a5636264163138013ca"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-win_amd64.whl", hash = "sha256:6048ebddfb90d09d2707efb1fd78d4e3a77cb3ae4dc60e19aab6be0ece2ae464"},
 ]
 
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
+[[package]]
+name = "nvidia-cufile-cu12"
+version = "1.11.1.6"
+description = "cuFile GPUDirect libraries"
+optional = true
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
+files = [
+    {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159"},
+    {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:8f57a0051dcf2543f6dc2b98a98cb2719c37d3cee1baba8965d57f3bbc90d4db"},
+]
+
 [[package]]
 name = "nvidia-curand-cu12"
-version = "10.3.5.147"
+version = "10.3.7.77"
 description = "CURAND native runtime libraries"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-win_amd64.whl", hash = "sha256:f307cc191f96efe9e8f05a87096abc20d08845a841889ef78cb06924437f6771"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:6e82df077060ea28e37f48a3ec442a8f47690c7499bff392a5938614b56c98d8"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:99f1a32f1ac2bd134897fc7a203f779303261268a65762a623bf30cc9fe79117"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:7b2ed8e95595c3591d984ea3603dd66fe6ce6812b886d59049988a712ed06b6e"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-win_amd64.whl", hash = "sha256:6d6d935ffba0f3d439b7cd968192ff068fafd9018dbf1b85b37261b13cfc9905"},
 ]
 
 [[package]]
 name = "nvidia-cusolver-cu12"
-version = "11.6.1.9"
+version = "11.7.1.2"
 description = "CUDA solver native runtime libraries"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-win_amd64.whl", hash = "sha256:e77314c9d7b694fcebc84f58989f3aa4fb4cb442f12ca1a9bde50f5e8f6d1b9c"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:6cf28f17f64107a0c4d7802be5ff5537b2130bfc112f25d5a30df227058ca0e6"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dbbe4fc38ec1289c7e5230e16248365e375c3673c9c8bac5796e2e20db07f56e"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-win_amd64.whl", hash = "sha256:6813f9d8073f555444a8705f3ab0296d3e1cb37a16d694c5fc8b862a0d8706d7"},
 ]
 
 [package.dependencies]
@@ -5357,71 +5380,90 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-cusparse-cu12"
-version = "12.3.1.170"
+version = "12.5.4.2"
 description = "CUSPARSE native runtime libraries"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-win_amd64.whl", hash = "sha256:9bc90fb087bc7b4c15641521f31c0371e9a612fc2ba12c338d3ae032e6b6797f"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7556d9eca156e18184b94947ade0fba5bb47d69cec46bf8660fd2c71a4b48b73"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-win_amd64.whl", hash = "sha256:4acb8c08855a26d737398cba8fb6f8f5045d93f82612b4cfd84645a2332ccf20"},
 ]
 
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
+[[package]]
+name = "nvidia-cusparselt-cu12"
+version = "0.6.3"
+description = "NVIDIA cuSPARSELt"
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
+files = [
+    {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8371549623ba601a06322af2133c4a44350575f5a3108fb75f3ef20b822ad5f1"},
+    {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46"},
+    {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-win_amd64.whl", hash = "sha256:3b325bcbd9b754ba43df5a311488fca11a6b5dc3d11df4d190c000cf1a0765c7"},
+]
+
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.21.5"
+version = "2.26.2"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 files = [
-    {file = "nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0"},
+    {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5c196e95e832ad30fbbb50381eb3cbd1fadd5675e587a548563993609af19522"},
+    {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6"},
 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.4.127"
+version = "12.6.85"
 description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-win_amd64.whl", hash = "sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c"},
 ]
 
 [[package]]
 name = "nvidia-nvtx-cu12"
-version = "12.4.127"
+version = "12.6.77"
 description = "NVIDIA Tools Extension"
 optional = true
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:641dccaaa1139f3ffb0d3164b4b84f9d253397e38246a4f2f36728b48566d485"},
+    {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f44f8d86bb7d5629988d61c8d3ae61dddb2015dee142740536bc7481b022fe4b"},
+    {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:adcaabb9d436c9761fca2b13959a2d237c5f9fd406c8e4b723c695409ff88059"},
+    {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b90bed3df379fa79afbd21be8e04a0314336b8ae16768b58f2d34cb1d04cd7d2"},
+    {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:6574241a3ec5fdc9334353ab8c479fe75841dbe8f4532a8fc97ce63503330ba1"},
+    {file = "nvidia_nvtx_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:2fb11a4af04a5e6c84073e6404d26588a34afd35379f0855a99797897efa75c0"},
 ]
 
 [[package]]
 name = "openai"
-version = "1.52.0"
+version = "1.77.0"
 description = "The official Python library for the openai API"
 optional = false
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
 groups = ["main", "api"]
 files = [
-    {file = "openai-1.52.0-py3-none-any.whl", hash = "sha256:0c249f20920183b0a2ca4f7dba7b0452df3ecd0fa7985eb1d91ad884bc3ced9c"},
-    {file = "openai-1.52.0.tar.gz", hash = "sha256:95c65a5f77559641ab8f3e4c3a050804f7b51d278870e2ec1f7444080bfe565a"},
+    {file = "openai-1.77.0-py3-none-any.whl", hash = "sha256:07706e91eb71631234996989a8ea991d5ee56f0744ef694c961e0824d4f39218"},
+    {file = "openai-1.77.0.tar.gz", hash = "sha256:897969f927f0068b8091b4b041d1f8175bcf124f7ea31bab418bf720971223bc"},
 ]
 
 [package.dependencies]
@@ -5436,6 +5478,8 @@ typing-extensions = ">=4.11,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+realtime = ["websockets (>=13,<16)"]
+voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
 [[package]]
 name = "opentelemetry-api"
@@ -5746,7 +5790,7 @@ description = "Powerful data structures for data analysis, time series, and stat
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"llama\" or extra == \"databricks\""
+markers = "extra == \"databricks\" or extra == \"llama\""
 files = [
     {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
     {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
@@ -5794,9 +5838,9 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
     {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -6475,8 +6519,8 @@ files = [
 annotated-types = ">=0.6.0"
 pydantic-core = "2.23.4"
 typing-extensions = [
-    {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
     {version = ">=4.6.1", markers = "python_version < \"3.13\""},
+    {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
 ]
 
 [package.extras]
@@ -6895,7 +6939,7 @@ description = "World timezone definitions, modern and historical"
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "extra == \"llama\" or extra == \"databricks\""
+markers = "extra == \"databricks\" or extra == \"llama\""
 files = [
     {file = "pytz-2024.2-py2.py3-none-any.whl", hash = "sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725"},
     {file = "pytz-2024.2.tar.gz", hash = "sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a"},
@@ -6928,7 +6972,7 @@ files = [
     {file = "pywin32-308-cp39-cp39-win32.whl", hash = "sha256:7873ca4dc60ab3287919881a7d4f88baee4a6e639aa6962de25a98ba6b193341"},
     {file = "pywin32-308-cp39-cp39-win_amd64.whl", hash = "sha256:71b3322d949b4cc20776436a9c9ba0eeedcbc9c650daa536df63f0ff111bb920"},
 ]
-markers = {main = "sys_platform == \"win32\" and (platform_python_implementation != \"PyPy\" or extra == \"databricks\") and (extra == \"databricks\" or extra == \"docs-build\")", docs = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
+markers = {main = "sys_platform == \"win32\" and (platform_python_implementation != \"PyPy\" or extra == \"databricks\") and (extra == \"docs-build\" or extra == \"databricks\")", docs = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
 
 [[package]]
 name = "pywin32-ctypes"
@@ -7994,7 +8038,7 @@ files = [
     {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
     {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
 ]
-markers = {main = "extra == \"llama\" or extra == \"docs-build\""}
+markers = {main = "extra == \"docs-build\" or extra == \"llama\""}
 
 [[package]]
 name = "sphinx"
@@ -8208,7 +8252,7 @@ files = [
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", optional = true, markers = "extra == \"asyncio\""}
+greenlet = {version = "!=0.4.17", optional = true, markers = "python_version < \"3.13\" 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\") or extra == \"asyncio\""}
 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -8352,15 +8396,15 @@ files = [
 
 [[package]]
 name = "sympy"
-version = "1.13.1"
+version = "1.14.0"
 description = "Computer algebra system (CAS) in Python"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"huggingface\""
 files = [
-    {file = "sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"},
-    {file = "sympy-1.13.1.tar.gz", hash = "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f"},
+    {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"},
+    {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"},
 ]
 
 [package.dependencies]
@@ -8574,7 +8618,7 @@ files = [
     {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
     {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
 ]
-markers = {main = "extra == \"docs-build\"", dev = "python_version <= \"3.10\"", docs = "python_version <= \"3.10\""}
+markers = {main = "extra == \"docs-build\"", dev = "python_version < \"3.11\"", docs = "python_version < \"3.11\""}
 
 [[package]]
 name = "tomli-w"
@@ -8591,30 +8635,37 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.5.0"
+version = "2.7.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = true
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
 groups = ["main"]
 markers = "extra == \"huggingface\""
 files = [
-    {file = "torch-2.5.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:7f179373a047b947dec448243f4e6598a1c960fa3bb978a9a7eecd529fbc363f"},
-    {file = "torch-2.5.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:15fbc95e38d330e5b0ef1593b7bc0a19f30e5bdad76895a5cffa1a6a044235e9"},
-    {file = "torch-2.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:f499212f1cffea5d587e5f06144630ed9aa9c399bba12ec8905798d833bd1404"},
-    {file = "torch-2.5.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:c54db1fade17287aabbeed685d8e8ab3a56fea9dd8d46e71ced2da367f09a49f"},
-    {file = "torch-2.5.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:499a68a756d3b30d10f7e0f6214dc3767b130b797265db3b1c02e9094e2a07be"},
-    {file = "torch-2.5.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:9f3df8138a1126a851440b7d5a4869bfb7c9cc43563d64fd9d96d0465b581024"},
-    {file = "torch-2.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:b81da3bdb58c9de29d0e1361e52f12fcf10a89673f17a11a5c6c7da1cb1a8376"},
-    {file = "torch-2.5.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:ba135923295d564355326dc409b6b7f5bd6edc80f764cdaef1fb0a1b23ff2f9c"},
-    {file = "torch-2.5.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:2dd40c885a05ef7fe29356cca81be1435a893096ceb984441d6e2c27aff8c6f4"},
-    {file = "torch-2.5.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:bc52d603d87fe1da24439c0d5fdbbb14e0ae4874451d53f0120ffb1f6c192727"},
-    {file = "torch-2.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:ea718746469246cc63b3353afd75698a288344adb55e29b7f814a5d3c0a7c78d"},
-    {file = "torch-2.5.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6de1fd253e27e7f01f05cd7c37929ae521ca23ca4620cfc7c485299941679112"},
-    {file = "torch-2.5.0-cp313-cp313-manylinux1_x86_64.whl", hash = "sha256:83dcf518685db20912b71fc49cbddcc8849438cdb0e9dcc919b02a849e2cd9e8"},
-    {file = "torch-2.5.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:65e0a60894435608334d68c8811e55fd8f73e5bf8ee6f9ccedb0064486a7b418"},
-    {file = "torch-2.5.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:38c21ff1bd39f076d72ab06e3c88c2ea6874f2e6f235c9450816b6c8e7627094"},
-    {file = "torch-2.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:ce4baeba9804da5a346e210b3b70826f5811330c343e4fe1582200359ee77fe5"},
-    {file = "torch-2.5.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:03e53f577a96e4d41aca472da8faa40e55df89d2273664af390ce1f570e885bd"},
+    {file = "torch-2.7.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:c9afea41b11e1a1ab1b258a5c31afbd646d6319042bfe4f231b408034b51128b"},
+    {file = "torch-2.7.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:0b9960183b6e5b71239a3e6c883d8852c304e691c0b2955f7045e8a6d05b9183"},
+    {file = "torch-2.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:2ad79d0d8c2a20a37c5df6052ec67c2078a2c4e9a96dd3a8b55daaff6d28ea29"},
+    {file = "torch-2.7.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:34e0168ed6de99121612d72224e59b2a58a83dae64999990eada7260c5dd582d"},
+    {file = "torch-2.7.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2b7813e904757b125faf1a9a3154e1d50381d539ced34da1992f52440567c156"},
+    {file = "torch-2.7.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:fd5cfbb4c3bbadd57ad1b27d56a28008f8d8753733411a140fcfb84d7f933a25"},
+    {file = "torch-2.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:58df8d5c2eeb81305760282b5069ea4442791a6bbf0c74d9069b7b3304ff8a37"},
+    {file = "torch-2.7.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:0a8d43caa342b9986101ec5feb5bbf1d86570b5caa01e9cb426378311258fdde"},
+    {file = "torch-2.7.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:36a6368c7ace41ad1c0f69f18056020b6a5ca47bedaca9a2f3b578f5a104c26c"},
+    {file = "torch-2.7.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:15aab3e31c16feb12ae0a88dba3434a458874636f360c567caa6a91f6bfba481"},
+    {file = "torch-2.7.0-cp312-cp312-win_amd64.whl", hash = "sha256:f56d4b2510934e072bab3ab8987e00e60e1262fb238176168f5e0c43a1320c6d"},
+    {file = "torch-2.7.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:30b7688a87239a7de83f269333651d8e582afffce6f591fff08c046f7787296e"},
+    {file = "torch-2.7.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:868ccdc11798535b5727509480cd1d86d74220cfdc42842c4617338c1109a205"},
+    {file = "torch-2.7.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:9b52347118116cf3dff2ab5a3c3dd97c719eb924ac658ca2a7335652076df708"},
+    {file = "torch-2.7.0-cp313-cp313-win_amd64.whl", hash = "sha256:434cf3b378340efc87c758f250e884f34460624c0523fe5c9b518d205c91dd1b"},
+    {file = "torch-2.7.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:edad98dddd82220465b106506bb91ee5ce32bd075cddbcf2b443dfaa2cbd83bf"},
+    {file = "torch-2.7.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:2a885fc25afefb6e6eb18a7d1e8bfa01cc153e92271d980a49243b250d5ab6d9"},
+    {file = "torch-2.7.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:176300ff5bc11a5f5b0784e40bde9e10a35c4ae9609beed96b4aeb46a27f5fae"},
+    {file = "torch-2.7.0-cp313-cp313t-win_amd64.whl", hash = "sha256:d0ca446a93f474985d81dc866fcc8dccefb9460a29a456f79d99c29a78a66993"},
+    {file = "torch-2.7.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:27f5007bdf45f7bb7af7f11d1828d5c2487e030690afb3d89a651fd7036a390e"},
+    {file = "torch-2.7.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:e362efaa5b3078e5f75c33efc05005b9b46de0d2e899519d5b4cad0e050ed0f7"},
+    {file = "torch-2.7.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:fc1ed9258cbfce69970ff508ea60881818d414d098a800b7695ba36f570d34b0"},
+    {file = "torch-2.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:87b0802cab44659fcb6bcf5678d58fa4a8b48561cde8fb2d317edf0b6990e1bb"},
+    {file = "torch-2.7.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:ccd7509141713997861b7a947ef0a717143cd7e9240addd168f38ba8fd23fd56"},
 ]
 
 [package.dependencies]
@@ -8622,26 +8673,28 @@ filelock = "*"
 fsspec = "*"
 jinja2 = "*"
 networkx = "*"
-nvidia-cublas-cu12 = {version = "12.4.5.8", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cufft-cu12 = {version = "11.2.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-curand-cu12 = {version = "10.3.5.147", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusolver-cu12 = {version = "11.6.1.9", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cublas-cu12 = {version = "12.6.4.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.6.80", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "9.5.1.17", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.3.0.4", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufile-cu12 = {version = "1.11.1.6", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.7.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.7.1.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.5.4.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparselt-cu12 = {version = "0.6.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.26.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvjitlink-cu12 = {version = "12.6.85", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 setuptools = {version = "*", markers = "python_version >= \"3.12\""}
-sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
-triton = {version = "3.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
-typing-extensions = ">=4.8.0"
+sympy = ">=1.13.3"
+triton = {version = "3.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+typing-extensions = ">=4.10.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.12.0)"]
+optree = ["optree (>=0.13.0)"]
 
 [[package]]
 name = "tornado"
@@ -8705,48 +8758,50 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "transformers"
-version = "4.48.0"
+version = "4.50.3"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = true
 python-versions = ">=3.9.0"
 groups = ["main"]
 markers = "extra == \"huggingface\""
 files = [
-    {file = "transformers-4.48.0-py3-none-any.whl", hash = "sha256:6d3de6d71cb5f2a10f9775ccc17abce9620195caaf32ec96542bd2a6937f25b0"},
-    {file = "transformers-4.48.0.tar.gz", hash = "sha256:03fdfcbfb8b0367fb6c9fbe9d1c9aa54dfd847618be9b52400b2811d22799cb1"},
+    {file = "transformers-4.50.3-py3-none-any.whl", hash = "sha256:6111610a43dec24ef32c3df0632c6b25b07d9711c01d9e1077bdd2ff6b14a38c"},
+    {file = "transformers-4.50.3.tar.gz", hash = "sha256:1d795d24925e615a8e63687d077e4f7348c2702eb87032286eaa76d83cdc684f"},
 ]
 
 [package.dependencies]
 filelock = "*"
-huggingface-hub = ">=0.24.0,<1.0"
+huggingface-hub = ">=0.26.0,<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 (>=0.3.2,<0.4)", "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 (>=2.0)", "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,<8.0.0)", "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 (==0.5.1)", "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", "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)", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "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-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 (==0.5.1)", "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-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 (==0.5.1)", "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", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "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-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 (==0.5.1)", "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)"]
 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"]
+hub-kernels = ["kernels (>=0.3.2,<0.4)"]
+integrations = ["kernels (>=0.3.2,<0.4)", "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)"]
 optuna = ["optuna"]
@@ -8760,7 +8815,7 @@ 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,<8.0.0)", "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 (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -8770,32 +8825,33 @@ tokenizers = ["tokenizers (>=0.21,<0.22)"]
 torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"]
 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 (>=0.26.0,<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"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
-version = "3.1.0"
+version = "3.3.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and python_version < \"3.13\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"huggingface\""
 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"},
-    {file = "triton-3.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8182f42fd8080a7d39d666814fa36c5e30cc00ea7eeeb1a2983dbb4c99a0fdc"},
-    {file = "triton-3.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dadaca7fc24de34e180271b5cf864c16755702e9f63a16f62df714a8099126a"},
-    {file = "triton-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aafa9a20cd0d9fee523cd4504aa7131807a864cd77dcf6efe7e981f18b8c6c11"},
+    {file = "triton-3.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fad99beafc860501d7fcc1fb7045d9496cbe2c882b1674640304949165a916e7"},
+    {file = "triton-3.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3161a2bf073d6b22c4e2f33f951f3e5e3001462b2570e6df9cd57565bdec2984"},
+    {file = "triton-3.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b68c778f6c4218403a6bd01be7484f6dc9e20fe2083d22dd8aef33e3b87a10a3"},
+    {file = "triton-3.3.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:47bc87ad66fa4ef17968299acacecaab71ce40a238890acc6ad197c3abe2b8f1"},
+    {file = "triton-3.3.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ce4700fc14032af1e049005ae94ba908e71cd6c2df682239aed08e49bc71b742"},
+    {file = "triton-3.3.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f41403bfa0cbb3e24fd958ca7fee04e9681e55e539296db9aca30c42acae693"},
 ]
 
 [package.dependencies]
-filelock = "*"
+setuptools = ">=40.8.0"
 
 [package.extras]
 build = ["cmake (>=3.20)", "lit"]
-tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
+tests = ["autopep8", "isort", "llnl-hatchet", "numpy", "pytest", "pytest-forked", "pytest-xdist", "scipy (>=1.7.1)"]
 tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
@@ -8878,7 +8934,7 @@ files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
-markers = {dev = "python_version <= \"3.10\"", docs = "python_version < \"3.10\""}
+markers = {dev = "python_version < \"3.11\"", docs = "python_version == \"3.9\""}
 
 [[package]]
 name = "typing-inspect"
@@ -8904,7 +8960,7 @@ description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
 groups = ["main"]
-markers = "extra == \"llama\" or extra == \"databricks\""
+markers = "extra == \"databricks\" or extra == \"llama\""
 files = [
     {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
     {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
@@ -8943,7 +8999,7 @@ description = "HTTP library with thread-safe connection pooling, file post, and
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 groups = ["main", "api", "dev", "docs"]
-markers = "python_version < \"3.10\""
+markers = "python_version == \"3.9\""
 files = [
     {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
     {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
@@ -8975,14 +9031,14 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.32.0"
+version = "0.34.2"
 description = "The lightning-fast ASGI server."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main", "api"]
 files = [
-    {file = "uvicorn-0.32.0-py3-none-any.whl", hash = "sha256:60b8f3a5ac027dcd31448f411ced12b5ef452c646f76f02f8cc3f25d8d26fd82"},
-    {file = "uvicorn-0.32.0.tar.gz", hash = "sha256:f78b36b143c16f54ccdb8190d0a26b5f1901fe5a3c777e1ab29f26391af8551e"},
+    {file = "uvicorn-0.34.2-py3-none-any.whl", hash = "sha256:deb49af569084536d269fe0a6d67e3754f104cf03aba7c11c40f01aadf33c403"},
+    {file = "uvicorn-0.34.2.tar.gz", hash = "sha256:0e929828f6186353a80b58ea719861d2629d766293b6d19baf086ba31d4f3328"},
 ]
 
 [package.dependencies]
@@ -8991,7 +9047,7 @@ h11 = ">=0.8"
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "uvloop"
@@ -9067,7 +9123,7 @@ description = "Waitress WSGI server"
 optional = true
 python-versions = ">=3.9.0"
 groups = ["main"]
-markers = "platform_system == \"Windows\" and extra == \"databricks\""
+markers = "extra == \"databricks\" and platform_system == \"Windows\""
 files = [
     {file = "waitress-3.0.1-py3-none-any.whl", hash = "sha256:26cdbc593093a15119351690752c99adc13cbc6786d75f7b6341d1234a3730ac"},
     {file = "waitress-3.0.1.tar.gz", hash = "sha256:ef0c1f020d9f12a515c4ec65c07920a702613afcad1dbfdc3bcec256b6c072b3"},
@@ -9553,7 +9609,7 @@ files = [
     {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
     {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
-markers = {docs = "python_version < \"3.10\""}
+markers = {docs = "python_version == \"3.9\""}
 
 [package.extras]
 check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
@@ -9578,4 +9634,4 @@ vectordb = ["faiss-cpu", "numpy"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.9"
-content-hash = "0d7414c61f9bc3d5ca506b5ca6affc72f54377470d390b0e00777eed9d6b630c"
+content-hash = "31ce1ccf516ced1cea242a66d376c3cd99356b2cee59e70a9f95777e728c938a"
diff --git a/pyproject.toml b/pyproject.toml
index 0a6a80eb7..d3d4f2c24 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -27,16 +27,16 @@ rstr = "^3.2.2"
 typing-extensions = "^4.8.0"
 python-dateutil = "^2.8.2"
 tiktoken = ">=0.5.1"
-litellm = "^1.37.14"
+litellm = "^1.61.15"
 sqlvalidator = {version = "^0.0.20", optional = true}
 sqlalchemy = {version = ">=2.0.9", optional = true}
 sqlglot = {version = "^19.0.3", optional = true}
 faiss-cpu = {version = "^1.7.4", optional = true}
 numpy = {version = ">=1.25, <2.0", optional = true}
 manifest-ml = {version = "^0.1.8", optional = true}
-transformers = {version = "^4.38.0", optional = true}
+transformers = {version = "^4.50.0", optional = true}
 anthropic = {version = "^0.7.2", optional = true}
-torch = {version = "^2.1.1", optional = true}
+torch = {version = "^2.6.0", optional = true}
 nbdoc = {version = "^0.0.82", optional = true}
 pydash = "^7.0.6"
 docspec_python = "2.2.1"