diff --git a/poetry.lock b/poetry.lock
index 0f955c2..d1f39e1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -6,6 +6,7 @@ version = "2.6.1"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
     {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
@@ -17,6 +18,7 @@ version = "3.11.18"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "aiohttp-3.11.18-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:96264854fedbea933a9ca4b7e0c745728f01380691687b7365d18d9e977179c4"},
     {file = "aiohttp-3.11.18-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9602044ff047043430452bc3a2089743fa85da829e6fc9ee0025351d66c332b6"},
@@ -112,7 +114,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -120,6 +122,7 @@ version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
     {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -134,6 +137,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -145,6 +149,7 @@ version = "4.9.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
     {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
@@ -158,7 +163,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
 doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
+test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -167,6 +172,7 @@ version = "1.4.4"
 description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = "*"
+groups = ["metrics"]
 files = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
@@ -178,6 +184,7 @@ version = "2.15.8"
 description = "An abstract syntax tree for Python with inference support."
 optional = false
 python-versions = ">=3.7.2"
+groups = ["main"]
 files = [
     {file = "astroid-2.15.8-py3-none-any.whl", hash = "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c"},
     {file = "astroid-2.15.8.tar.gz", hash = "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"},
@@ -197,6 +204,8 @@ version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "metrics"]
+markers = "python_version < \"3.11\""
 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"},
@@ -208,18 +217,19 @@ version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
     {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
 ]
 
 [package.extras]
-benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
 
 [[package]]
 name = "autogen-agentchat"
@@ -227,6 +237,7 @@ version = "0.4.9.3"
 description = "AutoGen agents and teams library"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
 files = [
     {file = "autogen_agentchat-0.4.9.3-py3-none-any.whl", hash = "sha256:574956e65fad2029ec267ed143388c81f8fd308a06ca08773e63c2757ed9a1d1"},
     {file = "autogen_agentchat-0.4.9.3.tar.gz", hash = "sha256:d101fa3d536df3aef845f6038ba77a1603e06fdd4e2547a89accc59128d5aaa1"},
@@ -241,6 +252,7 @@ version = "0.4.9.3"
 description = "Foundational interfaces and agent runtime implementation for AutoGen"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
 files = [
     {file = "autogen_core-0.4.9.3-py3-none-any.whl", hash = "sha256:7e3680182bb968d2f63318dc1c3c427c964807aa6ad45e203924051a7a2333f8"},
     {file = "autogen_core-0.4.9.3.tar.gz", hash = "sha256:a32d53f80d7aa00588d8c5ecf21b8e20fbbef3c4812d5e1862911ba24dc30d3f"},
@@ -260,6 +272,7 @@ version = "0.4.9.3"
 description = "AutoGen extensions library"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
 files = [
     {file = "autogen_ext-0.4.9.3-py3-none-any.whl", hash = "sha256:ac3780ec584be71eedd884483fc1a7db0f60318c369d05d7603bb7d27fe25883"},
     {file = "autogen_ext-0.4.9.3.tar.gz", hash = "sha256:c7bef82324ffb9e33b0f8c4cea783b24d1e48e7a9d852889ca5cc19e287500dc"},
@@ -302,35 +315,16 @@ task-centric-memory = ["chromadb (>=0.6.3)"]
 video-surfer = ["autogen-agentchat (==0.4.9.3)", "ffmpeg-python", "openai-whisper", "opencv-python (>=4.5)"]
 web-surfer = ["autogen-agentchat (==0.4.9.3)", "markitdown (>=0.0.1,<0.1.0)", "pillow (>=11.0.0)", "playwright (>=1.48.0)"]
 
-[[package]]
-name = "azure-ai-inference"
-version = "1.0.0b9"
-description = "Microsoft Azure AI Inference Client Library for Python"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "azure_ai_inference-1.0.0b9-py3-none-any.whl", hash = "sha256:49823732e674092dad83bb8b0d1b65aa73111fab924d61349eb2a8cdc0493990"},
-    {file = "azure_ai_inference-1.0.0b9.tar.gz", hash = "sha256:1feb496bd84b01ee2691befc04358fa25d7c344d8288e99364438859ad7cd5a4"},
-]
-
-[package.dependencies]
-azure-core = ">=1.30.0"
-isodate = ">=0.6.1"
-typing-extensions = ">=4.6.0"
-
-[package.extras]
-opentelemetry = ["azure-core-tracing-opentelemetry"]
-prompts = ["pyyaml"]
-
 [[package]]
 name = "azure-core"
-version = "1.33.0"
+version = "1.34.0"
 description = "Microsoft Azure Core Library for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "azure_core-1.33.0-py3-none-any.whl", hash = "sha256:9b5b6d0223a1d38c37500e6971118c1e0f13f54951e6893968b38910bc9cda8f"},
-    {file = "azure_core-1.33.0.tar.gz", hash = "sha256:f367aa07b5e3005fec2c1e184b882b0b039910733907d001c20fb08ebb8c0eb9"},
+    {file = "azure_core-1.34.0-py3-none-any.whl", hash = "sha256:0615d3b756beccdb6624d1c0ae97284f38b78fb59a2a9839bf927c66fbbdddd6"},
+    {file = "azure_core-1.34.0.tar.gz", hash = "sha256:bdb544989f246a0ad1c85d72eeb45f2f835afdcbc5b45e43f0dbde7461c81ece"},
 ]
 
 [package.dependencies]
@@ -348,6 +342,7 @@ version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main"]
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -359,6 +354,7 @@ version = "0.23.1"
 description = "The bidirectional mapping library for Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "bidict-0.23.1-py3-none-any.whl", hash = "sha256:5dae8d4d79b552a71cbabc7deb25dfe8ce710b17ff41711e13010ead2abfc3e5"},
     {file = "bidict-0.23.1.tar.gz", hash = "sha256:03069d763bc387bbd20e7d49914e75fc4132a41937fa3405417e1a5a2d006d71"},
@@ -370,6 +366,7 @@ version = "24.10.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "black-24.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6668650ea4b685440857138e5fe40cde4d652633b1bdffc62933d0db4ed9812"},
     {file = "black-24.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1c536fcf674217e87b8cc3657b81809d3c085d7bf3ef262ead700da345bfa6ea"},
@@ -416,6 +413,7 @@ version = "1.9.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
     {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"},
     {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
@@ -427,6 +425,7 @@ version = "1.1.0"
 description = "Python bindings for the Brotli compression library"
 optional = false
 python-versions = "*"
+groups = ["metrics"]
 files = [
     {file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752"},
     {file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9"},
@@ -515,13 +514,14 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2025.1.31"
+version = "2025.4.26"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "metrics"]
 files = [
-    {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
-    {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
+    {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"},
+    {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"},
 ]
 
 [[package]]
@@ -530,6 +530,8 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
+markers = "platform_python_implementation == \"CPython\" and sys_platform == \"win32\" or implementation_name == \"pypy\" or platform_python_implementation == \"PyPy\""
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -605,103 +607,104 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.1"
+version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
-files = [
-    {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e218488cd232553829be0664c2292d3af2eeeb94b32bea483cf79ac6a694e037"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:80ed5e856eb7f30115aaf94e4a08114ccc8813e6ed1b5efa74f9f82e8509858f"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b010a7a4fd316c3c484d482922d13044979e78d1861f0e0650423144c616a46a"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4532bff1b8421fd0a320463030c7520f56a79c9024a4e88f01c537316019005a"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d973f03c0cb71c5ed99037b870f2be986c3c05e63622c017ea9816881d2dd247"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3a3bd0dcd373514dcec91c411ddb9632c0d7d92aed7093b8c3bbb6d69ca74408"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:d9c3cdf5390dcd29aa8056d13e8e99526cda0305acc038b96b30352aff5ff2bb"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:2bdfe3ac2e1bbe5b59a1a63721eb3b95fc9b6817ae4a46debbb4e11f6232428d"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:eab677309cdb30d047996b36d34caeda1dc91149e4fdca0b1a039b3f79d9a807"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-win32.whl", hash = "sha256:c0429126cf75e16c4f0ad00ee0eae4242dc652290f940152ca8c75c3a4b6ee8f"},
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 ]
 
 [[package]]
@@ -710,6 +713,7 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "metrics"]
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
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@@ -724,10 +728,12 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev", "metrics"]
 files = [
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 ]
+markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\"", metrics = "platform_system == \"Windows\""}
 
 [[package]]
 name = "configargparse"
@@ -735,6 +741,7 @@ version = "1.7"
 description = "A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables."
 optional = false
 python-versions = ">=3.5"
+groups = ["metrics"]
 files = [
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@@ -750,6 +757,7 @@ version = "7.8.0"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "coverage-7.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2931f66991175369859b5fd58529cd4b73582461877ecfd859b6549869287ffe"},
     {file = "coverage-7.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:52a523153c568d2c0ef8826f6cc23031dc86cffb8c6aeab92c4ff776e7951b28"},
@@ -820,7 +828,7 @@ files = [
 tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
 
 [package.extras]
-toml = ["tomli"]
+toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
 name = "dataclasses-json"
@@ -828,6 +836,7 @@ version = "0.6.7"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = "<4.0,>=3.7"
+groups = ["metrics"]
 files = [
     {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
     {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
@@ -839,20 +848,21 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "datasets"
-version = "3.5.0"
+version = "3.5.1"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.9.0"
+groups = ["metrics"]
 files = [
-    {file = "datasets-3.5.0-py3-none-any.whl", hash = "sha256:b3b7f163acc6ac4e01a1b00eef26d48bd4039288ceea3601d169272bd5581006"},
-    {file = "datasets-3.5.0.tar.gz", hash = "sha256:9e39560e34f83a64e48ceca7adeb645ede3c3055c5cf48ed2b454f8ed2b89754"},
+    {file = "datasets-3.5.1-py3-none-any.whl", hash = "sha256:4074dda8dd6e9ece242b1580a8ef3928777d59ae1db144d911229e443a093cbb"},
+    {file = "datasets-3.5.1.tar.gz", hash = "sha256:f835b45dbbd7065c1191734b6f7c8d96fdf8c5751feaa5aa52b2a0dc43eea58f"},
 ]
 
 [package.dependencies]
 aiohttp = "*"
 dill = ">=0.3.0,<0.3.9"
 filelock = "*"
-fsspec = {version = ">=2023.1.0,<=2024.12.0", extras = ["http"]}
+fsspec = {version = ">=2023.1.0,<=2025.3.0", extras = ["http"]}
 huggingface-hub = ">=0.24.0"
 multiprocess = "<0.70.17"
 numpy = ">=1.17"
@@ -867,7 +877,7 @@ xxhash = "*"
 [package.extras]
 audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyav", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "torchvision", "transformers", "transformers (>=4.42.0)", "zstandard"]
+dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyav", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "torchvision", "transformers", "transformers (>=4.42.0)", "zstandard"]
 docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
 pdfs = ["pdfplumber (>=0.11.4)"]
@@ -875,8 +885,8 @@ quality = ["ruff (>=0.3.0)"]
 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.6.0)"]
 tensorflow-gpu = ["tensorflow (>=2.6.0)"]
-tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyav", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "torchvision", "transformers (>=4.42.0)", "zstandard"]
-tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyav", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "torchvision", "transformers (>=4.42.0)", "zstandard"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyav", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "torchvision", "transformers (>=4.42.0)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyav", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "torchvision", "transformers (>=4.42.0)", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=9.4.0)"]
 
@@ -886,6 +896,7 @@ version = "1.2.18"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+groups = ["main"]
 files = [
     {file = "Deprecated-1.2.18-py2.py3-none-any.whl", hash = "sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec"},
     {file = "deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d"},
@@ -895,7 +906,7 @@ files = [
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools ; python_version >= \"3.12\"", "tox"]
 
 [[package]]
 name = "dill"
@@ -903,6 +914,7 @@ version = "0.3.8"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
     {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
@@ -918,6 +930,7 @@ version = "5.6.3"
 description = "Disk Cache -- Disk and file backed persistent cache."
 optional = false
 python-versions = ">=3"
+groups = ["metrics"]
 files = [
     {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"},
     {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
@@ -929,6 +942,7 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "metrics"]
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -940,6 +954,7 @@ version = "0.5.2"
 description = "EcoLogits tracks and estimates the energy consumption and environmental impacts of using generative AI models through APIs."
 optional = false
 python-versions = "<4,>=3.9"
+groups = ["main"]
 files = [
     {file = "ecologits-0.5.2-py3-none-any.whl", hash = "sha256:d228aba35e56ee22080ea205a0955d914384dd4be82a26ed31e9017aa503ea58"},
     {file = "ecologits-0.5.2.tar.gz", hash = "sha256:33e9ec145c733306dae86a78a875064fc040f94dcd6b3b7e5dd7de8bfe94ab65"},
@@ -959,26 +974,14 @@ litellm = ["litellm (>=1.41.23,<2.0.0)", "rapidfuzz (>=3.9.6,<4.0.0)"]
 mistralai = ["mistralai (>=0.4.3,<2.0.0)"]
 openai = ["openai (>=1.12.0,<2.0.0)"]
 
-[[package]]
-name = "eval-type-backport"
-version = "0.2.2"
-description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
-optional = false
-python-versions = ">=3.8"
-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"},
-]
-
-[package.extras]
-tests = ["pytest"]
-
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "metrics"]
+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"},
@@ -993,6 +996,7 @@ version = "0.115.12"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fastapi-0.115.12-py3-none-any.whl", hash = "sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d"},
     {file = "fastapi-0.115.12.tar.gz", hash = "sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681"},
@@ -1013,6 +1017,7 @@ version = "3.18.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
     {file = "filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2"},
@@ -1021,7 +1026,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "flake8"
@@ -1029,6 +1034,7 @@ version = "6.1.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
 files = [
     {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
     {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
@@ -1045,6 +1051,7 @@ version = "3.1.0"
 description = "A simple framework for building complex web applications."
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
     {file = "flask-3.1.0-py3-none-any.whl", hash = "sha256:d667207822eb83f1c4b50949b1623c8fc8d51f2341d65f72e1a1815397551136"},
     {file = "flask-3.1.0.tar.gz", hash = "sha256:5f873c5184c897c8d9d1b05df1e3d01b14910ce69607a117bd3277098a5836ac"},
@@ -1067,6 +1074,7 @@ version = "5.0.1"
 description = "A Flask extension simplifying CORS support"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["metrics"]
 files = [
     {file = "flask_cors-5.0.1-py3-none-any.whl", hash = "sha256:fa5cb364ead54bbf401a26dbf03030c6b18fb2fcaf70408096a572b409586b0c"},
     {file = "flask_cors-5.0.1.tar.gz", hash = "sha256:6ccb38d16d6b72bbc156c1c3f192bc435bfcc3c2bc864b2df1eb9b2d97b2403c"},
@@ -1082,6 +1090,7 @@ version = "0.6.3"
 description = "User authentication and session management for Flask."
 optional = false
 python-versions = ">=3.7"
+groups = ["metrics"]
 files = [
     {file = "Flask-Login-0.6.3.tar.gz", hash = "sha256:5e23d14a607ef12806c699590b89d0f0e0d67baeec599d75947bf9c147330333"},
     {file = "Flask_Login-0.6.3-py3-none-any.whl", hash = "sha256:849b25b82a436bf830a054e74214074af59097171562ab10bfa999e6b78aae5d"},
@@ -1097,6 +1106,7 @@ version = "1.6.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "frozenlist-1.6.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e6e558ea1e47fd6fa8ac9ccdad403e5dd5ecc6ed8dda94343056fa4277d5c65e"},
     {file = "frozenlist-1.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4b3cd7334a4bbc0c472164f3744562cb72d05002cc6fcf58adb104630bbc352"},
@@ -1206,13 +1216,14 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2024.12.0"
+version = "2025.3.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
-    {file = "fsspec-2024.12.0-py3-none-any.whl", hash = "sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"},
-    {file = "fsspec-2024.12.0.tar.gz", hash = "sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"},
+    {file = "fsspec-2025.3.0-py3-none-any.whl", hash = "sha256:efb87af3efa9103f94ca91a7f8cb7a4df91af9f74fc106c9c7ea0efd7277c1b3"},
+    {file = "fsspec-2025.3.0.tar.gz", hash = "sha256:a935fd1ea872591f2b5148907d103488fc523295e6c64b835cfad8c3eca44972"},
 ]
 
 [package.dependencies]
@@ -1242,7 +1253,7 @@ sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
 test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
-test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
@@ -1252,6 +1263,7 @@ version = "24.11.1"
 description = "Coroutine-based network library"
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
     {file = "gevent-24.11.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:92fe5dfee4e671c74ffaa431fd7ffd0ebb4b339363d24d0d944de532409b935e"},
     {file = "gevent-24.11.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7bfcfe08d038e1fa6de458891bca65c1ada6d145474274285822896a858c870"},
@@ -1300,11 +1312,11 @@ greenlet = {version = ">=3.1.1", markers = "platform_python_implementation == \"
 "zope.interface" = "*"
 
 [package.extras]
-dnspython = ["dnspython (>=1.16.0,<2.0)", "idna"]
+dnspython = ["dnspython (>=1.16.0,<2.0) ; python_version < \"3.10\"", "idna ; python_version < \"3.10\""]
 docs = ["furo", "repoze.sphinx.autointerface", "sphinx", "sphinxcontrib-programoutput", "zope.schema"]
-monitor = ["psutil (>=5.7.0)"]
-recommended = ["cffi (>=1.17.1)", "dnspython (>=1.16.0,<2.0)", "idna", "psutil (>=5.7.0)"]
-test = ["cffi (>=1.17.1)", "coverage (>=5.0)", "dnspython (>=1.16.0,<2.0)", "idna", "objgraph", "psutil (>=5.7.0)", "requests"]
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 [[package]]
 name = "geventhttpclient"
@@ -1312,6 +1324,7 @@ version = "2.3.3"
 description = "HTTP client library for gevent"
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
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@@ -1410,6 +1423,7 @@ version = "3.2.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
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 [package.extras]
 docs = ["Sphinx", "furo"]
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+    {file = "grpcio-1.71.0.tar.gz", hash = "sha256:2b85f7820475ad3edec209d3d89a7909ada16caab05d3f2e08a7e8ae3200a55c"},
 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.72.0)"]
+protobuf = ["grpcio-tools (>=1.71.0)"]
 
 [[package]]
 name = "h11"
@@ -1541,6 +1557,7 @@ version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -1552,6 +1569,7 @@ version = "4.2.0"
 description = "Pure-Python HTTP/2 protocol implementation"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "h2-4.2.0-py3-none-any.whl", hash = "sha256:479a53ad425bb29af087f3458a61d30780bc818e4ebcf01f0b536ba916462ed0"},
     {file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
@@ -1567,6 +1585,7 @@ version = "4.1.0"
 description = "Pure-Python HPACK header encoding"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"},
     {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
@@ -1578,6 +1597,7 @@ version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
     {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
@@ -1599,6 +1619,7 @@ version = "0.6.4"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "httptools-0.6.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0"},
     {file = "httptools-0.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da"},
@@ -1654,6 +1675,7 @@ version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -1667,7 +1689,7 @@ httpcore = "==1.*"
 idna = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -1679,6 +1701,7 @@ version = "0.4.0"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
     {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
@@ -1690,6 +1713,7 @@ version = "0.29.3"
 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", "metrics"]
 files = [
     {file = "huggingface_hub-0.29.3-py3-none-any.whl", hash = "sha256:0b25710932ac649c08cdbefa6c6ccb8e88eef82927cacdb048efb726429453aa"},
     {file = "huggingface_hub-0.29.3.tar.gz", hash = "sha256:64519a25716e0ba382ba2d3fb3ca082e7c7eb4a2fc634d200e8380006e0760e5"},
@@ -1724,6 +1748,7 @@ version = "6.1.0"
 description = "Pure-Python HTTP/2 framing"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
     {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
@@ -1735,6 +1760,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "metrics"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1749,6 +1775,7 @@ version = "8.6.1"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e"},
     {file = "importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"},
@@ -1758,12 +1785,12 @@ files = [
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib_resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -1772,28 +1799,19 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
 ]
 
-[[package]]
-name = "isodate"
-version = "0.7.2"
-description = "An ISO 8601 date/time/duration parser and formatter"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"},
-    {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"},
-]
-
 [[package]]
 name = "isort"
 version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main", "dev"]
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
     {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
@@ -1808,6 +1826,7 @@ version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
     {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
@@ -1819,6 +1838,7 @@ version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "metrics"]
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -1836,6 +1856,7 @@ version = "0.9.0"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "jiter-0.9.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:816ec9b60fdfd1fec87da1d7ed46c66c44ffec37ab2ef7de5b147b2fce3fd5ad"},
     {file = "jiter-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9b1d3086f8a3ee0194ecf2008cf81286a5c3e540d977fa038ff23576c023c0ea"},
@@ -1917,13 +1938,14 @@ files = [
 
 [[package]]
 name = "joblib"
-version = "1.4.2"
+version = "1.5.0"
 description = "Lightweight pipelining with Python functions"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
-    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
-    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
+    {file = "joblib-1.5.0-py3-none-any.whl", hash = "sha256:206144b320246485b712fc8cc51f017de58225fa8b414a1fe1764a7231aca491"},
+    {file = "joblib-1.5.0.tar.gz", hash = "sha256:d8757f955389a3dd7a23152e43bc297c2e0c2d3060056dad0feefc88a06939b5"},
 ]
 
 [[package]]
@@ -1932,6 +1954,7 @@ version = "1.33"
 description = "Apply JSON-Patches (RFC 6902)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+groups = ["metrics"]
 files = [
     {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
     {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -1946,6 +1969,7 @@ version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
+groups = ["metrics"]
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1957,6 +1981,7 @@ version = "1.1.0"
 description = "jsonref is a library for automatic dereferencing of JSON Reference objects for Python."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "jsonref-1.1.0-py3-none-any.whl", hash = "sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9"},
     {file = "jsonref-1.1.0.tar.gz", hash = "sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552"},
@@ -1968,6 +1993,7 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -1989,6 +2015,7 @@ version = "2025.4.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af"},
     {file = "jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608"},
@@ -1999,18 +2026,19 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "langchain"
-version = "0.3.24"
+version = "0.3.25"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
-    {file = "langchain-0.3.24-py3-none-any.whl", hash = "sha256:596c5444716644ddd0cd819fb2bc9d0fd4221503b219fdfb5016edcfaa7da8ef"},
-    {file = "langchain-0.3.24.tar.gz", hash = "sha256:caf1bacdabbea429bc79b58b118c06c3386107d92812e15922072b91745f070f"},
+    {file = "langchain-0.3.25-py3-none-any.whl", hash = "sha256:931f7d2d1eaf182f9f41c5e3272859cfe7f94fc1f7cef6b3e5a46024b4884c21"},
+    {file = "langchain-0.3.25.tar.gz", hash = "sha256:a1d72aa39546a23db08492d7228464af35c9ee83379945535ceef877340d2a3a"},
 ]
 
 [package.dependencies]
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.55,<1.0.0"
+langchain-core = ">=0.3.58,<1.0.0"
 langchain-text-splitters = ">=0.3.8,<1.0.0"
 langsmith = ">=0.1.17,<0.4"
 pydantic = ">=2.7.4,<3.0.0"
@@ -2039,13 +2067,14 @@ xai = ["langchain-xai"]
 
 [[package]]
 name = "langchain-community"
-version = "0.3.22"
+version = "0.3.23"
 description = "Community contributed LangChain integrations."
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
-    {file = "langchain_community-0.3.22-py3-none-any.whl", hash = "sha256:02ecdc669408d587b9dda78462dbbe8c27168edd26bb205630d0bc753e7cce6b"},
-    {file = "langchain_community-0.3.22.tar.gz", hash = "sha256:36284687a9f64bc7820c0140beb3b96393f6c74c0b7ad8ba04ac35d673fe0988"},
+    {file = "langchain_community-0.3.23-py3-none-any.whl", hash = "sha256:7b5328e749df6bbaf8e60c53d810a95ab22f2d2262911b206b0fb582d58350b7"},
+    {file = "langchain_community-0.3.23.tar.gz", hash = "sha256:afb4b34d8b75fc00f78b2270e988bb48fff96b333d23fae05ab32d012940973f"},
 ]
 
 [package.dependencies]
@@ -2053,7 +2082,7 @@ aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
 httpx-sse = ">=0.4.0,<1.0.0"
 langchain = ">=0.3.24,<1.0.0"
-langchain-core = ">=0.3.55,<1.0.0"
+langchain-core = ">=0.3.56,<1.0.0"
 langsmith = ">=0.1.125,<0.4"
 numpy = {version = ">=1.26.2", markers = "python_version < \"3.13\""}
 pydantic-settings = ">=2.4.0,<3.0.0"
@@ -2064,13 +2093,14 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.56"
+version = "0.3.58"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
-    {file = "langchain_core-0.3.56-py3-none-any.whl", hash = "sha256:a20c6aca0fa0da265d96d3b14a5a01828ac5d2d9d27516434873d76f2d4839ed"},
-    {file = "langchain_core-0.3.56.tar.gz", hash = "sha256:de896585bc56e12652327dcd195227c3739a07e86e587c91a07101e0df11dffe"},
+    {file = "langchain_core-0.3.58-py3-none-any.whl", hash = "sha256:266f90d2a079fe9510190ad3be88bd993baad43e6cee0f822a883767a4bfdd5b"},
+    {file = "langchain_core-0.3.58.tar.gz", hash = "sha256:6ee2282b02fa65bf4ee1afa869d431505536757ff2f1f9f0b432d8ca755d66c6"},
 ]
 
 [package.dependencies]
@@ -2091,6 +2121,7 @@ version = "0.1.2"
 description = "An integration package connecting Hugging Face and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["metrics"]
 files = [
     {file = "langchain_huggingface-0.1.2-py3-none-any.whl", hash = "sha256:7de5cfcae32bfb6a99c084fc16176f02583a4f8d94febb6bb45bed5b34699174"},
     {file = "langchain_huggingface-0.1.2.tar.gz", hash = "sha256:4a66d5c449298fd353bd84c9ed01f9bf4303bf2e4ffce14aab8c55c584eee57c"},
@@ -2105,17 +2136,18 @@ transformers = ">=4.39.0"
 
 [[package]]
 name = "langchain-openai"
-version = "0.3.14"
+version = "0.3.16"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
-    {file = "langchain_openai-0.3.14-py3-none-any.whl", hash = "sha256:b8e648d2d7678a5540818199d141ff727c6f1514294b3e1e999a95357c9d66a0"},
-    {file = "langchain_openai-0.3.14.tar.gz", hash = "sha256:0662db78620c2e5c3ccfc1c36dc959c0ddc80e6bdf7ef81632cbf4b2cc9b9461"},
+    {file = "langchain_openai-0.3.16-py3-none-any.whl", hash = "sha256:eae74a6758d38a26159c5fde5abf8ef313e6400efb01a08f12dd7410c9f4fd0f"},
+    {file = "langchain_openai-0.3.16.tar.gz", hash = "sha256:4e423e39d072f1432adc9430f2905fe635cc019f01ad1bdffa5ed8d0dda32149"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.53,<1.0.0"
+langchain-core = ">=0.3.58,<1.0.0"
 openai = ">=1.68.2,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -2125,6 +2157,7 @@ version = "0.3.8"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["metrics"]
 files = [
     {file = "langchain_text_splitters-0.3.8-py3-none-any.whl", hash = "sha256:e75cc0f4ae58dcf07d9f18776400cf8ade27fadd4ff6d264df6278bb302f6f02"},
     {file = "langchain_text_splitters-0.3.8.tar.gz", hash = "sha256:116d4b9f2a22dda357d0b79e30acf005c5518177971c66a9f1ab0edfdb0f912e"},
@@ -2139,6 +2172,7 @@ version = "1.0.9"
 description = "Language detection library ported from Google's language-detection."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "langdetect-1.0.9-py2-none-any.whl", hash = "sha256:7cbc0746252f19e76f77c0b1690aadf01963be835ef0cd4b56dddf2a8f1dfc2a"},
     {file = "langdetect-1.0.9.tar.gz", hash = "sha256:cbc1fef89f8d062739774bd51eda3da3274006b3661d199c2655f6b3f6d605a0"},
@@ -2149,13 +2183,14 @@ six = "*"
 
 [[package]]
 name = "langsmith"
-version = "0.3.34"
+version = "0.3.42"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
-    {file = "langsmith-0.3.34-py3-none-any.whl", hash = "sha256:5927d726a78dbd1aa387be024ab76efa67444aec9b21b14c1de8214a233bb166"},
-    {file = "langsmith-0.3.34.tar.gz", hash = "sha256:c99add514aecc4295148f8910fab3b0c2632444605422a80aa625b65da502515"},
+    {file = "langsmith-0.3.42-py3-none-any.whl", hash = "sha256:18114327f3364385dae4026ebfd57d1c1cb46d8f80931098f0f10abe533475ff"},
+    {file = "langsmith-0.3.42.tar.gz", hash = "sha256:2b5cbc450ab808b992362aac6943bb1d285579aa68a3a8be901d30a393458f25"},
 ]
 
 [package.dependencies]
@@ -2182,6 +2217,7 @@ version = "1.11.0"
 description = "A fast and thorough lazy object proxy."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "lazy_object_proxy-1.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:132bc8a34f2f2d662a851acfd1b93df769992ed1b81e2b1fda7db3e73b0d5a18"},
     {file = "lazy_object_proxy-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:01261a3afd8621a1accb5682df2593dc7ec7d21d38f411011a5712dcd418fbed"},
@@ -2201,13 +2237,14 @@ files = [
 
 [[package]]
 name = "litellm"
-version = "1.67.2"
+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"]
 files = [
-    {file = "litellm-1.67.2-py3-none-any.whl", hash = "sha256:32df4d17b3ead17d04793311858965e41e83a7bdf9bd661895c0e6bc9c78dc8b"},
-    {file = "litellm-1.67.2.tar.gz", hash = "sha256:9e108827bff16af04fd4c35b0c1a1d6c7746c96db3870189a60141d449797487"},
+    {file = "litellm-1.67.5-py3-none-any.whl", hash = "sha256:bd3329731a36200539293521d312adf4f05fc4a6312a84baff2ce5a8b1507a43"},
+    {file = "litellm-1.67.5.tar.gz", hash = "sha256:a9c73feed05aba33b3f2879658f57bb3480b43404ae693ebc827f1c157affde5"},
 ]
 
 [package.dependencies]
@@ -2224,18 +2261,19 @@ 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)", "redisvl (>=0.4.1,<0.5.0)", "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 (==0.1.11)", "mcp (==1.5.0)", "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)"]
+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 = "locust"
-version = "2.36.1"
+version = "2.37.0"
 description = "Developer-friendly load testing framework"
 optional = false
 python-versions = ">=3.10"
+groups = ["metrics"]
 files = [
-    {file = "locust-2.36.1-py3-none-any.whl", hash = "sha256:4fcdc8ffc4efa7013157c7144524acde0942746741211e41c87b58e0e3ef197c"},
-    {file = "locust-2.36.1.tar.gz", hash = "sha256:4f3f4df666561f037cf2b085f1f49025b0107046ea5918c4b1391c7479b6bea7"},
+    {file = "locust-2.37.0-py3-none-any.whl", hash = "sha256:e234edc7248f6568135e50bf1b794a40b4d8faadbc8ae7a7dfb28d98b32e8783"},
+    {file = "locust-2.37.0.tar.gz", hash = "sha256:9e3982e325d2ca7bca1641f8100dc102366f600ed752b6d33c9439d6ad4cf5ac"},
 ]
 
 [package.dependencies]
@@ -2245,7 +2283,7 @@ flask-cors = ">=3.0.10"
 flask-login = ">=0.6.3"
 gevent = ">=24.10.1,<25.0.0"
 geventhttpclient = ">=2.3.1"
-locust-cloud = ">=1.20.1"
+locust-cloud = ">=1.21.1"
 msgpack = ">=1.0.0"
 psutil = ">=5.9.1"
 pywin32 = {version = "*", markers = "sys_platform == \"win32\""}
@@ -2261,12 +2299,14 @@ werkzeug = ">=2.0.0"
 
 [[package]]
 name = "locust-cloud"
-version = "1.20.5"
+version = "1.21.2"
 description = "Locust Cloud"
 optional = false
 python-versions = ">=3.10"
+groups = ["metrics"]
 files = [
-    {file = "locust_cloud-1.20.5-py3-none-any.whl", hash = "sha256:db76c98883a3bf114e1994af618a98207595fc3767800d9674c42e43e5e80eff"},
+    {file = "locust_cloud-1.21.2-py3-none-any.whl", hash = "sha256:cd846bdf302f17318aa04748755550259c2a9b348308f8200cd58f5b401da752"},
+    {file = "locust_cloud-1.21.2.tar.gz", hash = "sha256:f780dccc41910cc406da7e67adc411eab6e02dc198eb0c0e037347632d75791a"},
 ]
 
 [package.dependencies]
@@ -2282,6 +2322,7 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -2352,6 +2393,7 @@ version = "3.26.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
     {file = "marshmallow-3.26.1-py3-none-any.whl", hash = "sha256:3350409f20a70a7e4e11a27661187b77cdcaeb20abca41c1454fe33636bea09c"},
     {file = "marshmallow-3.26.1.tar.gz", hash = "sha256:e6d8affb6cb61d39d26402096dc0aee12d5a26d490a121f118d2e81dc0719dc6"},
@@ -2371,38 +2413,19 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
 ]
 
-[[package]]
-name = "mistralai"
-version = "1.7.0"
-description = "Python Client SDK for the Mistral AI API."
-optional = false
-python-versions = ">=3.9"
-files = [
-    {file = "mistralai-1.7.0-py3-none-any.whl", hash = "sha256:e0e75ab8508598d69ae19b14d9d7e905db6259a2de3cf9204946a27e9bf81c5d"},
-    {file = "mistralai-1.7.0.tar.gz", hash = "sha256:94e3eb23c1d3ed398a95352062fd8c92993cc3754ed18e9a35b60aa3db0bd103"},
-]
-
-[package.dependencies]
-eval-type-backport = ">=0.2.0"
-httpx = ">=0.28.1"
-pydantic = ">=2.10.3"
-python-dateutil = ">=2.8.2"
-typing-inspection = ">=0.4.0"
-
-[package.extras]
-gcp = ["google-auth (>=2.27.0)", "requests (>=2.32.3)"]
-
 [[package]]
 name = "mpmath"
 version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["main", "metrics"]
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -2411,7 +2434,7 @@ files = [
 [package.extras]
 develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
 docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4)"]
+gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
 tests = ["pytest (>=4.6)"]
 
 [[package]]
@@ -2420,6 +2443,7 @@ version = "1.1.0"
 description = "MessagePack serializer"
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 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"},
@@ -2493,6 +2517,7 @@ version = "6.4.3"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "multidict-6.4.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32a998bd8a64ca48616eac5a8c1cc4fa38fb244a3facf2eeb14abe186e0f6cc5"},
     {file = "multidict-6.4.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a54ec568f1fc7f3c313c2f3b16e5db346bf3660e1309746e7fccbbfded856188"},
@@ -2609,6 +2634,7 @@ version = "0.70.16"
 description = "better multiprocessing and multithreading in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"},
     {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"},
@@ -2633,6 +2659,7 @@ version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "metrics"]
 files = [
     {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"},
     {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"},
@@ -2644,6 +2671,7 @@ version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
+groups = ["metrics"]
 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"},
@@ -2655,6 +2683,7 @@ version = "3.4.2"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.10"
+groups = ["main", "metrics"]
 files = [
     {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
     {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
@@ -2674,6 +2703,7 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 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"},
@@ -2715,13 +2745,14 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.76.0"
+version = "1.77.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
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 optional = false
 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -2837,6 +2875,7 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "metrics"]
 files = [
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@@ -2848,6 +2887,7 @@ version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
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@@ -2934,6 +2974,7 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -2945,6 +2986,7 @@ version = "11.2.1"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
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@@ -3035,7 +3077,7 @@ fpx = ["olefile"]
 mic = ["olefile"]
 test-arrow = ["pyarrow"]
 tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
-typing = ["typing-extensions"]
+typing = ["typing-extensions ; python_version < \"3.10\""]
 xmp = ["defusedxml"]
 
 [[package]]
@@ -3044,6 +3086,7 @@ version = "4.3.7"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev", "metrics"]
 files = [
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@@ -3060,6 +3103,7 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -3075,6 +3119,7 @@ version = "2.10.1"
 description = "Wraps the portalocker recipe for easy usage"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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@@ -3094,6 +3139,7 @@ version = "3.16.0"
 description = "A simple Python library for easily displaying tabular data in a visually appealing ASCII table format"
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
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@@ -3111,6 +3157,7 @@ version = "0.3.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
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@@ -3218,6 +3265,7 @@ version = "5.29.4"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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@@ -3238,6 +3286,7 @@ version = "7.0.0"
 description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
 python-versions = ">=3.6"
+groups = ["metrics"]
 files = [
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@@ -3261,6 +3310,7 @@ version = "2.9.10"
 description = "psycopg2 - Python-PostgreSQL Database Adapter"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "psycopg2-binary-2.9.10.tar.gz", hash = "sha256:4b3df0e6990aa98acda57d983942eff13d824135fe2250e6522edaa782a06de2"},
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@@ -3333,53 +3383,67 @@ files = [
 
 [[package]]
 name = "pyarrow"
-version = "19.0.1"
+version = "20.0.0"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.9"
-files = [
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 [package.extras]
@@ -3391,6 +3455,7 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -3402,6 +3467,8 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
+markers = "platform_python_implementation == \"CPython\" and sys_platform == \"win32\" or implementation_name == \"pypy\" or platform_python_implementation == \"PyPy\""
 files = [
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 python-versions = ">=3.9"
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 typing-extensions = ">=4.12.2"
 typing-inspection = ">=0.4.0"
 
 [package.extras]
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-timezone = ["tzdata"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
 
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 ]
 
 [package.dependencies]
@@ -3545,6 +3614,7 @@ version = "2.9.1"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "pydantic_settings-2.9.1-py3-none-any.whl", hash = "sha256:59b4f431b1defb26fe620c71a7d3968a710d719f5f4cdbbdb7926edeb770f6ef"},
     {file = "pydantic_settings-2.9.1.tar.gz", hash = "sha256:c509bf79d27563add44e8446233359004ed85066cd096d8b510f715e6ef5d268"},
@@ -3568,6 +3638,7 @@ version = "3.1.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pyflakes-3.1.0-py2.py3-none-any.whl", hash = "sha256:4132f6d49cb4dae6819e5379898f2b8cce3c5f23994194c24b77d5da2e36f774"},
     {file = "pyflakes-3.1.0.tar.gz", hash = "sha256:a0aae034c444db0071aa077972ba4768d40c830d9539fd45bf4cd3f8f6992efc"},
@@ -3579,6 +3650,7 @@ version = "2.17.7"
 description = "python code static checker"
 optional = false
 python-versions = ">=3.7.2"
+groups = ["main"]
 files = [
     {file = "pylint-2.17.7-py3-none-any.whl", hash = "sha256:27a8d4c7ddc8c2f8c18aa0050148f89ffc09838142193fdbe98f172781a3ff87"},
     {file = "pylint-2.17.7.tar.gz", hash = "sha256:f4fcac7ae74cfe36bc8451e931d8438e4a476c20314b1101c458ad0f05191fad"},
@@ -3607,6 +3679,7 @@ version = "0.8.2"
 description = "Utilities and helpers for writing Pylint plugins"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main"]
 files = [
     {file = "pylint_plugin_utils-0.8.2-py3-none-any.whl", hash = "sha256:ae11664737aa2effbf26f973a9e0b6779ab7106ec0adc5fe104b0907ca04e507"},
     {file = "pylint_plugin_utils-0.8.2.tar.gz", hash = "sha256:d3cebf68a38ba3fba23a873809155562571386d4c1b03e5b4c4cc26c3eee93e4"},
@@ -3621,6 +3694,7 @@ version = "0.2.4"
 description = "A Pylint plugin to help Pylint understand the Pydantic"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "pylint_pydantic-0.2.4-py3-none-any.whl", hash = "sha256:452b32992f47e303b432f8940d4077f1d60e8d3325351b8998d846431699111a"},
 ]
@@ -3636,6 +3710,7 @@ version = "5.4.0"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pypdf-5.4.0-py3-none-any.whl", hash = "sha256:db994ab47cadc81057ea1591b90e5b543e2b7ef2d0e31ef41a9bfe763c119dab"},
     {file = "pypdf-5.4.0.tar.gz", hash = "sha256:9af476a9dc30fcb137659b0dec747ea94aa954933c52cf02ee33e39a16fe9175"},
@@ -3658,6 +3733,7 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -3680,6 +3756,7 @@ version = "4.1.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"},
     {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
@@ -3698,6 +3775,7 @@ version = "1.1.3"
 description = "pytest plugin that allows you to add environment variables."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pytest_env-1.1.3-py3-none-any.whl", hash = "sha256:aada77e6d09fcfb04540a6e462c58533c37df35fa853da78707b17ec04d17dfc"},
     {file = "pytest_env-1.1.3.tar.gz", hash = "sha256:fcd7dc23bb71efd3d35632bde1bbe5ee8c8dc4489d6617fb010674880d96216b"},
@@ -3716,6 +3794,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["metrics"]
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -3730,6 +3809,7 @@ version = "1.1.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "python_dotenv-1.1.0-py3-none-any.whl", hash = "sha256:d7c01d9e2293916c18baf562d95698754b0dbbb5e74d457c45d4f6561fb9d55d"},
     {file = "python_dotenv-1.1.0.tar.gz", hash = "sha256:41f90bc6f5f177fb41f53e87666db362025010eb28f60a01c9143bfa33a2b2d5"},
@@ -3744,6 +3824,7 @@ version = "4.12.0"
 description = "Engine.IO server and client for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["metrics"]
 files = [
     {file = "python_engineio-4.12.0-py3-none-any.whl", hash = "sha256:a0c47c129c39777e8ebc6d18011efd50db2144e4e8f08983acae8a3614626535"},
     {file = "python_engineio-4.12.0.tar.gz", hash = "sha256:f42a36a868d7063aa10ddccf6bd6117a169b6bd00d7ca53999772093b62014f9"},
@@ -3763,6 +3844,7 @@ version = "0.0.18"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "python_multipart-0.0.18-py3-none-any.whl", hash = "sha256:efe91480f485f6a361427a541db4796f9e1591afc0fb8e7a4ba06bfbc6708996"},
     {file = "python_multipart-0.0.18.tar.gz", hash = "sha256:7a68db60c8bfb82e460637fa4750727b45af1d5e2ed215593f917f64694d34fe"},
@@ -3774,6 +3856,7 @@ version = "5.13.0"
 description = "Socket.IO server and client for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "python_socketio-5.13.0-py3-none-any.whl", hash = "sha256:51f68d6499f2df8524668c24bcec13ba1414117cfb3a90115c559b601ab10caf"},
     {file = "python_socketio-5.13.0.tar.gz", hash = "sha256:ac4e19a0302ae812e23b712ec8b6427ca0521f7c582d6abb096e36e24a263029"},
@@ -3796,6 +3879,7 @@ version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["metrics"]
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -3807,6 +3891,7 @@ version = "310"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
+groups = ["main", "metrics"]
 files = [
     {file = "pywin32-310-cp310-cp310-win32.whl", hash = "sha256:6dd97011efc8bf51d6793a82292419eba2c71cf8e7250cfac03bba284454abc1"},
     {file = "pywin32-310-cp310-cp310-win_amd64.whl", hash = "sha256:c3e78706e4229b915a0821941a84e7ef420bf2b77e08c9dae3c76fd03fd2ae3d"},
@@ -3825,6 +3910,7 @@ files = [
     {file = "pywin32-310-cp39-cp39-win32.whl", hash = "sha256:851c8d927af0d879221e616ae1f66145253537bbdd321a77e8ef701b443a9a1a"},
     {file = "pywin32-310-cp39-cp39-win_amd64.whl", hash = "sha256:96867217335559ac619f00ad70e513c0fcf84b8a3af9fc2bba3b59b97da70475"},
 ]
+markers = {main = "platform_system == \"Windows\"", metrics = "sys_platform == \"win32\""}
 
 [[package]]
 name = "pyyaml"
@@ -3832,6 +3918,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
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@@ -3894,6 +3981,7 @@ version = "26.4.0"
 description = "Python bindings for 0MQ"
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "pyzmq-26.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:0329bdf83e170ac133f44a233fc651f6ed66ef8e66693b5af7d54f45d1ef5918"},
     {file = "pyzmq-26.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:398a825d2dea96227cf6460ce0a174cf7657d6f6827807d4d1ae9d0f9ae64315"},
@@ -3999,6 +4087,7 @@ version = "1.14.2"
 description = "Client library for the Qdrant vector search engine"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "qdrant_client-1.14.2-py3-none-any.whl", hash = "sha256:7c283b1f0e71db9c21b85d898fb395791caca2a6d56ee751da96d797b001410c"},
     {file = "qdrant_client-1.14.2.tar.gz", hash = "sha256:da5cab4d367d099d1330b6f30d45aefc8bd76f8b8f9d8fa5d4f813501b93af0d"},
@@ -4026,6 +4115,7 @@ version = "0.2.15"
 description = ""
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
     {file = "ragas-0.2.15-py3-none-any.whl", hash = "sha256:298cd3d1fe3bd21ca4d31023a55079740d7bdd27a8c915bb371cec3c50cde608"},
     {file = "ragas-0.2.15.tar.gz", hash = "sha256:2d0cd77b315a9c9c02ceb0a19ca8a48e82e1d02416587a2944ea51e6e327cd7b"},
@@ -4057,6 +4147,7 @@ version = "0.36.2"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"},
     {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"},
@@ -4073,6 +4164,7 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -4176,6 +4268,7 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metrics"]
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -4197,6 +4290,7 @@ version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["metrics"]
 files = [
     {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
     {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
@@ -4211,6 +4305,7 @@ version = "0.24.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "rpds_py-0.24.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:006f4342fe729a368c6df36578d7a348c7c716be1da0a1a0f86e3021f8e98724"},
     {file = "rpds_py-0.24.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2d53747da70a4e4b17f559569d5f9506420966083a31c5fbd84e764461c4444b"},
@@ -4334,6 +4429,7 @@ version = "0.5.3"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "metrics"]
 files = [
     {file = "safetensors-0.5.3-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd20eb133db8ed15b40110b7c00c6df51655a2998132193de2f75f72d99c7073"},
     {file = "safetensors-0.5.3-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:21d01c14ff6c415c485616b8b0bf961c46b3b343ca59110d38d744e577f9cce7"},
@@ -4371,6 +4467,7 @@ version = "1.6.1"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "scikit_learn-1.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e"},
     {file = "scikit_learn-1.6.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:0c8d036eb937dbb568c6242fa598d551d88fb4399c0344d95c001980ec1c7d36"},
@@ -4425,6 +4522,7 @@ version = "1.15.2"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
+groups = ["main", "metrics"]
 files = [
     {file = "scipy-1.15.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a2ec871edaa863e8213ea5df811cd600734f6400b4af272e1c011e69401218e9"},
     {file = "scipy-1.15.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:6f223753c6ea76983af380787611ae1291e3ceb23917393079dcc746ba60cfb5"},
@@ -4480,7 +4578,7 @@ numpy = ">=1.23.5,<2.5"
 [package.extras]
 dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
 doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.16.5)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"]
-test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "sentence-transformers"
@@ -4488,6 +4586,7 @@ version = "3.4.1"
 description = "State-of-the-Art Text Embeddings"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "sentence_transformers-3.4.1-py3-none-any.whl", hash = "sha256:e026dc6d56801fd83f74ad29a30263f401b4b522165c19386d8bc10dcca805da"},
     {file = "sentence_transformers-3.4.1.tar.gz", hash = "sha256:68daa57504ff548340e54ff117bd86c1d2f784b21e0fb2689cf3272b8937b24b"},
@@ -4511,23 +4610,24 @@ train = ["accelerate (>=0.20.3)", "datasets"]
 
 [[package]]
 name = "setuptools"
-version = "79.0.1"
+version = "80.3.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
-    {file = "setuptools-79.0.1-py3-none-any.whl", hash = "sha256:e147c0549f27767ba362f9da434eab9c5dc0045d5304feb602a0af001089fc51"},
-    {file = "setuptools-79.0.1.tar.gz", hash = "sha256:128ce7b8f33c3079fd1b067ecbb4051a66e8526e7b65f6cec075dfc650ddfa88"},
+    {file = "setuptools-80.3.1-py3-none-any.whl", hash = "sha256:ea8e00d7992054c4c592aeb892f6ad51fe1b4d90cc6947cc45c45717c40ec537"},
+    {file = "setuptools-80.3.1.tar.gz", hash = "sha256:31e2c58dbb67c99c289f51c16d899afedae292b978f8051efaf6262d8212f927"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"]
-core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+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.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)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "simple-websocket"
@@ -4535,6 +4635,7 @@ version = "1.1.0"
 description = "Simple WebSocket server and client for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["metrics"]
 files = [
     {file = "simple_websocket-1.1.0-py3-none-any.whl", hash = "sha256:4af6069630a38ed6c561010f0e11a5bc0d4ca569b36306eb257cd9a192497c8c"},
     {file = "simple_websocket-1.1.0.tar.gz", hash = "sha256:7939234e7aa067c534abdab3a9ed933ec9ce4691b0713c78acb195560aa52ae4"},
@@ -4553,6 +4654,7 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main", "metrics"]
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -4564,6 +4666,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "metrics"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -4575,6 +4678,7 @@ version = "2.0.40"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "metrics"]
 files = [
     {file = "SQLAlchemy-2.0.40-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ae9597cab738e7cc823f04a704fb754a9249f0b6695a6aeb63b74055cd417a96"},
     {file = "SQLAlchemy-2.0.40-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37a5c21ab099a83d669ebb251fddf8f5cee4d75ea40a5a1653d9c43d60e20867"},
@@ -4670,6 +4774,7 @@ version = "0.46.2"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "starlette-0.46.2-py3-none-any.whl", hash = "sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35"},
     {file = "starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5"},
@@ -4683,13 +4788,14 @@ full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart
 
 [[package]]
 name = "sympy"
-version = "1.13.3"
+version = "1.14.0"
 description = "Computer algebra system (CAS) in Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
-    {file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"},
-    {file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"},
+    {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"},
+    {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"},
 ]
 
 [package.dependencies]
@@ -4704,6 +4810,7 @@ version = "9.1.2"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
     {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"},
     {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"},
@@ -4719,6 +4826,7 @@ version = "3.6.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
     {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
@@ -4730,6 +4838,7 @@ version = "0.9.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "tiktoken-0.9.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:586c16358138b96ea804c034b8acf3f5d3f0258bd2bc3b0227af4af5d622e382"},
     {file = "tiktoken-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d9c59ccc528c6c5dd51820b3474402f69d9a9e1d656226848ad68a8d5b2e5108"},
@@ -4777,6 +4886,7 @@ version = "0.21.1"
 description = ""
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "tokenizers-0.21.1-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e78e413e9e668ad790a29456e677d9d3aa50a9ad311a40905d6861ba7692cf41"},
     {file = "tokenizers-0.21.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:cd51cd0a91ecc801633829fcd1fda9cf8682ed3477c6243b9a095539de4aecf3"},
@@ -4809,6 +4919,8 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "metrics"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -4850,6 +4962,7 @@ version = "0.13.2"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
     {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
@@ -4861,6 +4974,7 @@ version = "2.2.2+cpu"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main", "metrics"]
 files = [
     {file = "torch-2.2.2+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:02c4fac3c964e73f5f49003e0060c697f73b67c10cc23f51c592facb29e1bd53"},
     {file = "torch-2.2.2+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:fc29dda2795dd7220d769c5926b1c50ddac9b4827897e30a10467063691cdf54"},
@@ -4897,6 +5011,7 @@ version = "0.17.2+cpu"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "torchvision-0.17.2+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:34ba0274b6150b59b9d91c421c116a217982d5e6c6101b5109f400b994c43e3d"},
     {file = "torchvision-0.17.2+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:acad6f9573b9d6b50a5a3942d0145cb0f9100608acb53a09bfc11ed5720dcfe3"},
@@ -4929,6 +5044,7 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "metrics"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -4950,6 +5066,7 @@ version = "4.50.3"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.9.0"
+groups = ["main", "metrics"]
 files = [
     {file = "transformers-4.50.3-py3-none-any.whl", hash = "sha256:6111610a43dec24ef32c3df0632c6b25b07d9711c01d9e1077bdd2ff6b14a38c"},
     {file = "transformers-4.50.3.tar.gz", hash = "sha256:1d795d24925e615a8e63687d077e4f7348c2702eb87032286eaa76d83cdc684f"},
@@ -5021,10 +5138,12 @@ version = "4.13.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "metrics"]
 files = [
     {file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"},
     {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"},
 ]
+markers = {dev = "python_version < \"3.11\""}
 
 [[package]]
 name = "typing-inspect"
@@ -5032,6 +5151,7 @@ version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
 optional = false
 python-versions = "*"
+groups = ["metrics"]
 files = [
     {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
     {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
@@ -5047,6 +5167,7 @@ version = "0.4.0"
 description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"},
     {file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"},
@@ -5061,6 +5182,7 @@ version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["metrics"]
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -5072,13 +5194,14 @@ version = "2.4.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"},
     {file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -5089,6 +5212,7 @@ version = "0.29.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
     {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
@@ -5102,12 +5226,12 @@ httptools = {version = ">=0.5.0", optional = true, markers = "extra == \"standar
 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
 watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+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)"]
 
 [[package]]
 name = "uvloop"
@@ -5115,6 +5239,8 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
 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"},
@@ -5166,6 +5292,7 @@ version = "1.0.5"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "watchfiles-1.0.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:5c40fe7dd9e5f81e0847b1ea64e1f5dd79dd61afbedb57759df06767ac719b40"},
     {file = "watchfiles-1.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8c0db396e6003d99bb2d7232c957b5f0b5634bbd1b24e381a5afcc880f7373fb"},
@@ -5249,6 +5376,7 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
+groups = ["metrics"]
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -5260,6 +5388,7 @@ version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
     {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@@ -5276,6 +5405,7 @@ version = "15.0.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d63efaa0cd96cf0c5fe4d581521d9fa87744540d4bc999ae6e08595a1014b45b"},
     {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac60e3b188ec7574cb761b08d50fcedf9d77f1530352db4eef1707fe9dee7205"},
@@ -5354,6 +5484,7 @@ version = "3.1.3"
 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.9"
+groups = ["metrics"]
 files = [
     {file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"},
     {file = "werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"},
@@ -5371,6 +5502,7 @@ version = "1.17.2"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"},
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"},
@@ -5459,6 +5591,7 @@ version = "1.2.0"
 description = "WebSockets state-machine based protocol implementation"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["metrics"]
 files = [
     {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
     {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
@@ -5473,6 +5606,7 @@ version = "3.5.0"
 description = "Python binding for xxHash"
 optional = false
 python-versions = ">=3.7"
+groups = ["metrics"]
 files = [
     {file = "xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212"},
     {file = "xxhash-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3171f693dbc2cef6477054a665dc255d996646b4023fe56cb4db80e26f4cc520"},
@@ -5605,6 +5739,7 @@ version = "1.20.0"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "metrics"]
 files = [
     {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f1f6670b9ae3daedb325fa55fbe31c22c8228f6e0b513772c2e1c623caa6ab22"},
     {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85a231fa250dfa3308f3c7896cc007a47bc76e9e8e8595c20b7426cac4884c62"},
@@ -5723,17 +5858,18 @@ version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
     {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -5742,6 +5878,7 @@ version = "5.0"
 description = "Very basic event publishing system"
 optional = false
 python-versions = ">=3.7"
+groups = ["metrics"]
 files = [
     {file = "zope.event-5.0-py3-none-any.whl", hash = "sha256:2832e95014f4db26c47a13fdaef84cef2f4df37e66b59d8f1f4a8f319a632c26"},
     {file = "zope.event-5.0.tar.gz", hash = "sha256:bac440d8d9891b4068e2b5a2c5e2c9765a9df762944bda6955f96bb9b91e67cd"},
@@ -5760,6 +5897,7 @@ version = "7.2"
 description = "Interfaces for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "zope.interface-7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ce290e62229964715f1011c3dbeab7a4a1e4971fd6f31324c4519464473ef9f2"},
     {file = "zope.interface-7.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:05b910a5afe03256b58ab2ba6288960a2892dfeef01336dc4be6f1b9ed02ab0a"},
@@ -5814,6 +5952,7 @@ version = "0.23.0"
 description = "Zstandard bindings for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["metrics"]
 files = [
     {file = "zstandard-0.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9"},
     {file = "zstandard-0.23.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880"},
@@ -5921,6 +6060,6 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
 cffi = ["cffi (>=1.11)"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.10,<3.13"
-content-hash = "2421a73a59b5570dfff745b8d124178bef016c8bab9563af011cf7815d04c461"
+content-hash = "d1204a82e3d21cf0bb932a8ed952b817c3ef1a6fc79a89fbbc29dec306ddd372"
diff --git a/pyproject.toml b/pyproject.toml
index d270acb..0402b50 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,6 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = ">=3.10,<3.13"
-azure-ai-inference = "^1.0.0b8"
 azure-core = "^1.32.0"
 backoff = "^2.2.1"
 ecologits = "^0.5.2"
@@ -15,8 +14,6 @@ fastapi = "^0.115.8"
 huggingface-hub = "^0.29.1"
 langdetect = "^1.0.9"
 litellm = "^1.61.15"
-mistralai = "^1.2.2"
-openai = "^1.60.2"
 psycopg2-binary = "^2.9.10"
 pydantic = "^2.1.1"
 pydantic-settings = "^2.0.3"
diff --git a/rag-metrics.py b/rag-metrics.py
index e91a69f..01e091c 100644
--- a/rag-metrics.py
+++ b/rag-metrics.py
@@ -27,7 +27,7 @@
 )
 
 from src.app.api.dependencies import get_settings
-from src.app.services.abst_chat import ChatFactory
+from src.app.services.abst_chat import AbstractChat
 
 logger = logging.getLogger(__name__)
 
@@ -41,9 +41,13 @@
 # init chat client
 settings = get_settings()
 
-chat = ChatFactory().create_chat("openai")
+chat = AbstractChat(
+    model="azure/gpt-4o-mini",
+    API_KEY=settings.AZURE_API_KEY,
+    API_BASE=settings.AZURE_API_BASE,
+    API_VERSION=settings.AZURE_API_VERSION,
+)
 
-chat.init_client()
 
 # init test chat client
 model = "gpt-4o-mini"
diff --git a/src/app/api/api_v1/endpoints/chat.py b/src/app/api/api_v1/endpoints/chat.py
index efdd2a1..dd42b70 100644
--- a/src/app/api/api_v1/endpoints/chat.py
+++ b/src/app/api/api_v1/endpoints/chat.py
@@ -4,10 +4,11 @@
 from fastapi import APIRouter, Depends, HTTPException, status
 from fastapi.responses import StreamingResponse
 from openai import RateLimitError
+from pydantic import BaseModel
 
 from src.app.api.dependencies import get_settings
 from src.app.models import chat as models
-from src.app.services.abst_chat import AbstractChat, ChatFactory
+from src.app.services.abst_chat import AbstractChat
 from src.app.services.constants import subjects as subjectsDict
 from src.app.services.exceptions import (
     EmptyQueryError,
@@ -23,8 +24,12 @@
 
 settings = get_settings()
 
-chatfactory: AbstractChat = ChatFactory().create_chat("openai")
-chatfactory.init_client()
+chatfactory = AbstractChat(
+    model="azure/gpt-4o-mini",
+    API_KEY=settings.AZURE_API_KEY,
+    API_BASE=settings.AZURE_API_BASE,
+    API_VERSION=settings.AZURE_API_VERSION,
+)
 
 
 def get_params(body: models.Context) -> models.ContextOut:
@@ -42,6 +47,10 @@ def get_params(body: models.Context) -> models.ContextOut:
     )
 
 
+class Response(BaseModel):
+    greeting: str
+
+
 @router.post(
     "/reformulate/query",
     summary="Reformulate User Query",
diff --git a/src/app/api/api_v1/endpoints/tutor.py b/src/app/api/api_v1/endpoints/tutor.py
index a90d1ee..76b10cb 100644
--- a/src/app/api/api_v1/endpoints/tutor.py
+++ b/src/app/api/api_v1/endpoints/tutor.py
@@ -4,7 +4,7 @@
 
 from src.app.api.dependencies import get_settings
 from src.app.models.search import EnhancedSearchQuery
-from src.app.services.abst_chat import AbstractChat, ChatFactory
+from src.app.services.abst_chat import AbstractChat
 from src.app.services.exceptions import NoResultsError
 from src.app.services.search import SearchService
 from src.app.services.search_helpers import search_multi_inputs
@@ -23,8 +23,13 @@
 
 settings = get_settings()
 
-chatfactory: AbstractChat = ChatFactory().create_chat("openai", model="gpt-4o")
-chatfactory.init_client()
+
+chatfactory = AbstractChat(
+    model="azure/gpt-4o",
+    API_KEY=settings.AZURE_GPT_4O_API_KEY,
+    API_BASE=settings.AZURE_GPT_4O_API_BASE,
+    API_VERSION=settings.AZURE_GPT_4O_API_VERSION,
+)
 
 sp = SearchService()
 
@@ -69,9 +74,14 @@ async def tutor_search(
     ]
 
     try:
-        themes_extracted = await chatfactory.chat_schema(
-            model="gpt-4o", messages=messages, response_format=ExtractorOuputList  # type: ignore
+        themes_extracted = await chatfactory.chat_client.completion(
+            messages=messages, response_format=ExtractorOuputList
         )
+
+        assert isinstance(themes_extracted, dict)
+
+        themes_extracted = ExtractorOuputList(**themes_extracted)
+
     except Exception as e:
         logger.error(f"Error in chat schema: {e}")
         # todo: handle error
diff --git a/src/app/services/abst_chat.py b/src/app/services/abst_chat.py
index f52f6ce..967b3ac 100644
--- a/src/app/services/abst_chat.py
+++ b/src/app/services/abst_chat.py
@@ -16,26 +16,21 @@
 """
 
 import json
-from abc import ABC, abstractmethod
-from typing import AsyncIterable, Dict, List, Literal, Optional
+from abc import ABC
+from typing import AsyncIterable, Dict, List, Optional
 
-from azure.ai.inference import ChatCompletionsClient
-from azure.core.credentials import AzureKeyCredential
-
-# from ecologits import EcoLogits  # type: ignore
-from mistralai import Mistral
-from openai import AsyncAzureOpenAI
-from pydantic import BaseModel
-
-from src.app.api.dependencies import get_settings
-from src.app.models.chat import RESPONSE_TYPE, ReformulatedQueryResponse
+from src.app.models.chat import ReformulatedQueryResponse
 from src.app.models.documents import Document
 from src.app.services import prompts
 from src.app.services.exceptions import LanguageNotSupportedError
 from src.app.services.helpers import detect_language_from_entry, stringify_docs_content
+from src.app.services.llm_proxy import LLMProxy
 from src.app.utils.logger import log_environmental_impacts
 from src.app.utils.logger import logger as utils_logger
 
+# from ecologits import EcoLogits  # type: ignore
+
+
 logger = utils_logger(__name__)
 # EcoLogits.init(["openai", "mistralai"])
 
@@ -59,6 +54,12 @@ def __init__(
         API_BASE: Optional[str] = None,
         API_VERSION: Optional[str] = None,
     ):
+        self.chat_client = LLMProxy(
+            model=model,
+            api_key=API_KEY,
+            api_base=API_BASE,
+            api_version=API_VERSION,
+        )
         self.model = model
         self.API_KEY = API_KEY
         self.API_BASE = API_BASE
@@ -74,60 +75,6 @@ def __init__(
             },
         }
 
-    @abstractmethod
-    def init_client(self):
-        """
-        Initializes the chat client.
-        """
-        pass
-
-    @abstractmethod
-    async def chat(
-        self, type: RESPONSE_TYPE, model: str, messages: List[Dict[str, str]]
-    ):
-        """
-        Sends a chat message and returns the response.
-
-        Args:
-            type (RESPONSE_TYPE): The response type.
-            model (str): The model to be used for the chat service.
-            messages (list): A list of messages to be sent.
-
-        Returns:
-            The response from the chat service.
-        """
-        pass
-
-    @abstractmethod
-    async def chat_schema(
-        self, model: str, messages: List[Dict[str, str]], response_format: BaseModel
-    ):
-        """
-        Sends a chat message and returns the response.
-
-        Args:
-            type (RESPONSE_TYPE): The response type.
-            model (str): The model to be used for the chat service.
-            messages (list): A list of messages to be sent.
-
-        Returns:
-            The response from the chat service.
-        """
-        pass
-
-    @abstractmethod
-    async def streamed_chat(self, messages: List[Dict[str, str]]):
-        """
-        Sends a chat message and returns the streamed response.
-
-        Args:
-            messages (list): A list of messages to be sent.
-
-        Returns:
-            The streamed response from the chat service.
-        """
-        pass
-
     async def _detect_language(self, query: str) -> Dict[str, str]:
         """
         Detects the language of the query.
@@ -148,10 +95,6 @@ async def _detect_language(self, query: str) -> Dict[str, str]:
             lang = await self._detect_lang_with_llm(query)
             return lang
 
-    async def flex_chat(self, messages):
-        completion = await self.chat(model=self.model, type="text", messages=messages)
-        return self.get_message_content(completion)
-
     async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]:
         """
         Detects language using LLM.
@@ -162,30 +105,32 @@ async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]:
         Returns:
             dict: The detected language.
         """
-        detected_lang = await self.chat(
-            type="text",
-            model=self.model,
+        detected_lang = await self.chat_client.completion(
             messages=[
                 {
                     "role": "user",
                     "content": prompts.CHECK_LANGUAGE_PROMPT.format(query=query),
                 }
             ],
+            response_format={
+                "type": "json_object",
+            },
         )
-        res = self.get_message_content(message=detected_lang).strip()
 
         try:
-            detected = json.loads(res)
+            assert isinstance(detected_lang, dict)
 
-            if detected["ISO_CODE"] not in ["en", "fr"]:
+            if detected_lang["ISO_CODE"] not in ["en", "fr"]:
                 raise LanguageNotSupportedError()
 
-            return detected
-        except json.JSONDecodeError:
-            logger.error("api_error=invalid_json, response=%s", res)
+            return detected_lang
+        except AssertionError:
+            logger.error("api_error=assertion_error, response=%s", detected_lang)
             raise ValueError("Invalid response from model")
 
-    async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str]]):
+    async def _detect_past_message_ref(
+        self, query: str, history: List[Dict[str, str]]
+    ) -> dict | None:
         """
         Detects reference to past messages.
 
@@ -196,9 +141,7 @@ async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str
         Returns:
             The detected reference to past messages.
         """
-        completion = await self.chat(
-            type="text",
-            model=self.model,
+        completion = await self.chat_client.completion(
             messages=[
                 self.system_prompts["past_message"],
                 *history[:-2],
@@ -207,33 +150,25 @@ async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str
                     "content": prompts.PAST_MESSAGE_REF.format(query=query),
                 },
             ],
+            response_format={
+                "type": "json_object",
+            },
         )
-        completion_content = self.get_message_content(message=completion).strip()
 
         try:
-            jsn = json.loads(completion_content)
+            assert isinstance(completion, dict)
+            jsn = completion
 
             if "REF_TO_PAST" not in jsn or jsn["REF_TO_PAST"] not in [True, False]:
                 raise ValueError("Invalid response from model")
 
             return jsn
         except json.JSONDecodeError:
-            logger.error("api_error=invalid_json, response=%s", completion_content)
-            raise ValueError("Invalid response from model")
 
-    def get_message_content(self, message) -> str:
-        """
-        Gets content from response.
-
-        Args:
-            message (dict): The chat response.
-
-        Returns:
-            str: The chat client response content.
-        """
-        log_environmental_impacts(message, logger)
-        check = message.choices[0].message.content
-        return check
+            logger.error("api_error=invalid_json, response=%s", completion)
+        except AssertionError:
+            logger.error("api_error=assertion_error, response=%s", completion)
+            raise ValueError("Invalid response from model")
 
     async def get_stream_chunks(self, stream) -> AsyncIterable[str]:
         """
@@ -250,6 +185,7 @@ async def get_stream_chunks(self, stream) -> AsyncIterable[str]:
                 choices = chunk.choices
                 if choices:
                     if choices[0].delta.content:
+                        print(choices[0].delta.content, end="", flush=True)
                         yield choices[0].delta.content
                     if choices[0].finish_reason:
                         log_environmental_impacts(chunk, logger)
@@ -270,10 +206,9 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]]
         Returns:
             dict: The reformulated query or None.
         """
-        # lang = await self._detect_language(query)
 
-        ref_to_past = await self._detect_past_message_ref(query, history)
-        if ref_to_past["REF_TO_PAST"]:
+        ref_to_past: dict | None = await self._detect_past_message_ref(query, history)
+        if ref_to_past and ref_to_past["REF_TO_PAST"]:
             return ReformulatedQueryResponse(
                 STANDALONE_QUESTION_EN=None,
                 STANDALONE_QUESTION_FR=None,
@@ -295,13 +230,19 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]]
             },
         ]
 
-        reformulated_query = await self.chat_schema(
+        reformulated_query = await self.chat_client.completion(
             messages=messages,
-            model=self.model,
             response_format=ReformulatedQueryResponse,
         )
 
-        if not isinstance(reformulated_query, ReformulatedQueryResponse):
+        try:
+            assert isinstance(reformulated_query, dict)
+            ref_query = ReformulatedQueryResponse(**reformulated_query)
+        except Exception:
+            logger.error("api_error=invalid_json, response=%s", reformulated_query)
+            ref_query = reformulated_query
+
+        if not isinstance(ref_query, ReformulatedQueryResponse):
             raise ValueError(
                 {
                     "message": "Invalid response from model",
@@ -309,7 +250,7 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]]
                 }
             )
 
-        return reformulated_query
+        return ref_query
 
     async def get_new_questions(
         self, query: str, history: List[Dict[str, str]]
@@ -326,9 +267,7 @@ async def get_new_questions(
         """
         await self._detect_language(query)
 
-        res = await self.chat(
-            type="text",
-            model=self.model,
+        res = await self.chat_client.completion(
             messages=[
                 *history[::-2][:2],
                 {
@@ -338,11 +277,9 @@ async def get_new_questions(
             ],
         )
 
-        res_content = self.get_message_content(res)
+        assert isinstance(res, str)
 
-        res_list: List[str] = [
-            res.strip() for res in res_content.split("%%") if len(res.strip()) > 0
-        ]
+        res_list: List[str] = [r.strip() for r in res.split("%%") if len(r.strip()) > 0]
         return {"NEW_QUESTIONS": res_list}
 
     async def rephrase_message(
@@ -350,7 +287,7 @@ async def rephrase_message(
         docs: List[Document],
         message: str,
         history: List[Dict[str, str]],
-        subject: str,
+        subject: str | None = None,
         streamed_ans: bool = False,
     ):
         """
@@ -382,22 +319,20 @@ async def rephrase_message(
         ]
 
         if streamed_ans:
-            res = await self.streamed_chat(messages)
+            res = self.chat_client.completion_stream(messages)
             return self.get_stream_chunks(res)
 
-        res = await self.chat(
-            type="text",
-            model=self.model,
+        res = await self.chat_client.completion(
             messages=messages,
         )
-        return self.get_message_content(res)
+        return res
 
     async def chat_message(
         self,
         query: str,
         history: List[Dict[str, str]],
         docs: List[Document],
-        subject: str,
+        subject: str | None = None,
         streamed_ans: bool = False,
         should_check_lang: bool = True,
     ):
@@ -435,304 +370,10 @@ async def chat_message(
             },
         ]
         if streamed_ans:
-            res = await self.streamed_chat(messages)
+            res = await self.chat_client.completion_stream(messages)
             return self.get_stream_chunks(res)
 
-        res = await self.chat(
-            type="text",
-            model=self.model,
-            messages=messages,
-        )
-        return self.get_message_content(res)
-
-
-class Open_Chat(AbstractChat):
-    """
-    A concrete implementation of AbstractChat for OpenAI.
-    """
-
-    def init_client(self):
-        if not self.API_BASE or not self.API_VERSION:
-            raise ValueError("API_BASE or API_VERSION not provided")
-
-        try:
-            self.chat_client = AsyncAzureOpenAI(
-                api_key=self.API_KEY,
-                azure_endpoint=self.API_BASE,
-                api_version=self.API_VERSION,
-            )
-        except Exception as e:
-            logger.error("ai_generator=openai error=%s", e)
-
-    async def streamed_chat(self, messages: List[Dict[str, str]]):
-        res = await self.chat_client.chat.completions.create(
-            model=self.model,
+        res = await self.chat_client.completion(
             messages=messages,
-            stream=True,
-            temperature=0.2,
-            max_tokens=1000,
         )
-
         return res
-
-    async def chat_json(self, messages: List[Dict[str, str]]):
-        completion = await self.chat(
-            model=self.model,
-            type="json_object",
-            messages=messages,
-        )
-        res = self.get_message_content(message=completion)
-
-        return json.loads(res)
-
-    async def chat(
-        self, type: RESPONSE_TYPE, model: str, messages: List[Dict[str, str]]
-    ):
-        try:
-            completion = await self.chat_client.chat.completions.create(
-                model=model,
-                response_format={"type": type},
-                messages=messages,
-                stream=False,
-                temperature=0.2,
-            )
-
-            return completion
-        except Exception as e:
-            logger.error("ai_generator=openai error=%s", e)
-            raise e
-
-    async def chat_schema(
-        self, model: str, messages: List[Dict[str, str]], response_format
-    ):
-        try:
-            completion = await self.chat_client.beta.chat.completions.parse(
-                model=self.model or model,
-                messages=messages,
-                temperature=0.2,
-                response_format=response_format,
-            )
-
-            return completion.choices[0].message.parsed
-        except Exception as e:
-            logger.error("ai_generator=openai error=%s", e)
-            raise e
-
-    async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]:
-        try:
-            detected_lang = await self.chat_json(
-                messages=[
-                    {
-                        "role": "user",
-                        "content": prompts.CHECK_LANGUAGE_PROMPT.format(query=query),
-                    }
-                ],
-            )
-            return detected_lang
-
-        except Exception as e:
-            raise e
-
-    async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str]]):
-        try:
-            completion = await self.chat_json(
-                messages=[
-                    self.system_prompts["past_message"],
-                    *history[:-2],
-                    {
-                        "role": "user",
-                        "content": prompts.PAST_MESSAGE_REF.format(query=query),
-                    },
-                ],
-            )
-
-            return completion
-        except Exception as e:
-            raise e
-
-
-class Mistral_Chat(AbstractChat):
-    """
-    A concrete implementation of AbstractChat for Mistral.
-    """
-
-    def init_client(self):
-        logger.debug("ai_generator=mistral")
-        self.chat_client = Mistral(api_key=self.API_KEY)
-
-    async def streamed_chat(self, messages: List[Dict[str, str]]):
-        resp = self.chat_client.chat.stream_async(model=self.model, messages=messages)
-
-        return resp.data
-
-    async def chat(
-        self, type: RESPONSE_TYPE, model: str, messages: List[Dict[str, str]]
-    ):
-        try:
-            completion = await self.chat_client.chat.complete_async(
-                model=model,
-                response_format={"type": type},
-                messages=messages,
-                stream=False,
-                temperature=0.2,
-            )
-
-            return completion
-        except Exception as e:
-            logger.error("ai_generator=openai error=%s", e)
-            raise e
-
-    async def chat_schema(
-        self, model: str, messages: List[Dict[str, str]], response_format
-    ):
-        try:
-            completion = await self.chat_client.chat.complete(
-                model=self.model or model,
-                messages=messages,
-                temperature=0.2,
-                response_format=response_format,
-            )
-
-            return completion.choices[0].message
-        except Exception as e:
-            logger.error("ai_generator=mistral error=%s", e)
-            raise e
-
-
-class Azure_Chat(AbstractChat):
-    """
-    A concrete implementation of AbstractChat for Azure.
-    """
-
-    def init_client(self):
-        logger.debug("ai_generator=azure")
-        if not self.API_BASE:
-            raise ValueError("API_BASE not provided")
-
-        try:
-            self.chat_client = ChatCompletionsClient(
-                credential=AzureKeyCredential(self.API_KEY),
-                endpoint=self.API_BASE,
-            )
-        except Exception as e:
-            logger.error("ai_generator=azure error=%s", e)
-            raise e
-
-    async def streamed_chat(self, messages: List[Dict[str, str]]):
-        resp = self.chat_client.complete(
-            messages=messages,
-            temperature=0.2,
-            top_p=1,
-            max_tokens=800,
-            stream=True,
-        )
-        return resp
-
-    async def chat(
-        self, type: RESPONSE_TYPE, model: str, messages: List[Dict[str, str]]
-    ):
-        logger.info("chat_azure, model=%s type=%s", model, type)
-        resp = self.chat_client.complete(
-            messages=messages,
-            temperature=0.2,
-            top_p=1,
-            max_tokens=800,
-            stream=False,
-        )
-        return resp
-
-
-class ChatFactory:
-    """
-    A factory class to create instances of chat services.
-    """
-
-    def __init__(self):
-        pass
-
-    def create_chat(
-        self, chat_type: Literal["openai", "mistral", "azure"], model: str | None = None
-    ):
-        """
-        Creates an instance of a chat service based on the specified type and model.
-
-        Args:
-            chat_type (Literal["openai", "mistral", "azure"]): The type of chat service.
-            model (str | None): The model to be used for the chat service.
-
-        Returns:
-            An instance of the specified chat service.
-        """
-        settings = get_settings()
-
-        chat_classes = {
-            "openai": Open_Chat,
-            "mistral": Mistral_Chat,
-            "azure": Azure_Chat,
-        }
-
-        if chat_type not in chat_classes:
-            raise ValueError(f"Unsupported chat type: {chat_type}")
-
-        if chat_type == "openai":
-            openai_models = {
-                "gpt-4o-mini": (
-                    settings.AZURE_API_KEY,
-                    settings.AZURE_API_BASE,
-                    settings.AZURE_API_VERSION,
-                ),
-                "gpt-4o": (
-                    settings.AZURE_GPT_4O_API_KEY,
-                    settings.AZURE_GPT_4O_API_BASE,
-                    settings.AZURE_GPT_4O_API_VERSION,
-                ),
-            }
-            if model:
-                key, base, version = openai_models.get(model, (None, None, None))
-                if not key or not base or not version:
-                    raise ValueError(f"Unsupported model: {model}")
-                return chat_classes[chat_type](
-                    API_KEY=key, API_BASE=base, API_VERSION=version, model=model
-                )
-
-            return chat_classes[chat_type](
-                API_VERSION=settings.AZURE_API_VERSION,
-                API_KEY=settings.AZURE_API_KEY,
-                API_BASE=settings.AZURE_API_BASE,
-                model="gpt-4o-mini",
-            )
-        elif chat_type == "mistral":
-            if model:
-                return chat_classes[chat_type](
-                    API_KEY=settings.MISTRAL_API_KEY,
-                    model=model,
-                )
-            return chat_classes[chat_type](
-                API_KEY=settings.MISTRAL_API_KEY,
-                model="mistral-small-latest",
-            )
-        elif chat_type == "azure":
-            azure_models = {
-                "Meta-Llama-3.1-8B-Instruct": (
-                    settings.AZURE_LLAMA_31_8B_API_KEY,
-                    settings.AZURE_LLAMA_31_8B_API_BASE,
-                ),
-                "Meta-Llama-3.1-70B-Instruct": (
-                    settings.AZURE_LLAMA_31_70B_API_KEY,
-                    settings.AZURE_LLAMA_31_70B_API_BASE,
-                ),
-                "Meta-Llama-3.1-405B-Instruct": (
-                    settings.AZURE_LLAMA_31_405B_API_KEY,
-                    settings.AZURE_LLAMA_31_405B_API_BASE,
-                ),
-            }
-
-            if model not in azure_models:
-                raise ValueError(f"Unsupported model: {model}")
-
-            API_KEY, API_BASE = azure_models[model]
-            return chat_classes[chat_type](
-                API_KEY=API_KEY,
-                API_BASE=API_BASE,
-                model=model,
-            )
diff --git a/src/app/services/llm_proxy.py b/src/app/services/llm_proxy.py
new file mode 100644
index 0000000..9f800fd
--- /dev/null
+++ b/src/app/services/llm_proxy.py
@@ -0,0 +1,73 @@
+import json
+from abc import ABC
+from typing import Optional, Type, Union
+
+import litellm
+from litellm import acompletion
+from litellm.types.utils import ModelResponse
+from pydantic import BaseModel
+
+from src.app.utils.logger import logger as utils_logger
+
+logger = utils_logger(__name__)
+
+
+class LLMProxy(ABC):
+    def __init__(
+        self,
+        model: str,
+        api_key: str | None = None,
+        api_base: str | None = None,
+        api_version: str | None = None,
+        debug: bool = False,
+    ):
+        self.model = model
+        self.api_key = api_key
+        self.api_base = api_base
+        self.api_version = api_version
+
+        litellm.enable_json_schema_validation = True
+        if debug:
+            litellm._turn_on_debug()  # type: ignore
+
+    async def completion(
+        self,
+        messages: list,
+        response_format: Optional[Union[dict, Type[BaseModel]]] = None,
+    ) -> dict | str:
+
+        response = await acompletion(
+            model=self.model,
+            api_key=self.api_key,
+            api_base=self.api_base,
+            api_version=self.api_version,
+            messages=messages,
+            response_format=response_format,
+        )
+
+        assert isinstance(response, ModelResponse)
+
+        response = response["choices"][0]["message"]["content"].strip()
+
+        try:
+            return json.loads(response)
+        except json.JSONDecodeError:
+            logger.warning(
+                "Response content is not valid JSON. Returning raw content instead."
+            )
+            return response
+
+    async def completion_stream(
+        self,
+        messages: list,
+    ):
+        response = await acompletion(
+            model=self.model,
+            api_key=self.api_key,
+            api_base=self.api_base,
+            api_version=self.api_version,
+            messages=messages,
+            stream=True,
+        )
+
+        return response
diff --git a/src/app/tests/api/api_v1/test_chat.py b/src/app/tests/api/api_v1/test_chat.py
index 4cf6ba4..0b8e794 100644
--- a/src/app/tests/api/api_v1/test_chat.py
+++ b/src/app/tests/api/api_v1/test_chat.py
@@ -68,40 +68,25 @@
 @mock.patch(
     "src.app.services.abst_chat.AbstractChat._detect_language",
 )
-@mock.patch("src.app.services.abst_chat.Open_Chat.chat")
+@mock.patch("src.app.services.abst_chat.AbstractChat.chat_message")
 class QnATests(unittest.IsolatedAsyncioTestCase):
     def setUp(self):
         backoff.on_exception = MagicMock()
 
-    async def test_chat(self, chat_mock, mock_check_language):
-        mock_check_language.return_value = {"ISO_CODE": "en"}
+    async def test_chat(self, chat_mock, *mocks):
+        chat_mock.return_value = "ok"
         response = client.post(
             f"{settings.API_V1_STR}/qna/chat/answer",
             json=JSON,
             headers={"X-API-Key": "test"},
         )
 
-        chat_mock.assert_called_with(
-            type="text",
-            model="gpt-4o-mini",
-            messages=[
-                {
-                    "role": "system",
-                    "content": '\nCONTEXT: You are an expert in sustainable development goals (SDGs).\n\nOBJECTIVE: Answer the user\'s question based on the provided articles (enclosed in XML tags). Always include the reference of the article at the end of the sentence using the following format: <a href="http://document_url" target="_blank">[Doc 2]</a>.\n\nSTYLE: Structured, conversational, and easy to understand, as if explaining to a friend. Always include the reference of the article at the end of the sentence using the following format: <a href="http://document_url" target="_blank">[Doc 2]</a>.\n\nTONE: Informative yet engaging.\n\nAUDIENCE: Non-technical readers, university students aged 18-25 years, on a General cursus.\n\nRESPONSE: It is crucial to use the <a> tag; otherwise, the answer will be considered invalid. Provide a clear and structured response based on the articles and questions provided. Use breaks, bullet points, and lists to structure your answers if relevant. You don\'t have to use all articles, only if it makes sense in the conversation. Answer in the same language as the user did.\n',
-                },
-                {"role": "user", "content": "How to promote sustainable agriculture?"},
-                {"role": "assistant", "content": "here is my answer"},
-                {
-                    "role": "user",
-                    "content": "\nArticles:\n<article>\nDoc 1: testTitle\ntestContent\n\nurl:testUrl</article>\n\nQuestion: here is my answer\n\nIMPORTANT:\n- The answer must be formulated in the same language as the question. Language: {'ISO_CODE': 'en'}.\n- Answer with the facts listed in the articles above. If there isn't enough information, say you don't know.\n- Every element of the answer must be supported by a reference to the article.\n- Add the reference of the article with a <a> tag as follows: <a href=\"http://document_url\" target=\"_blank\">[Doc 2]</a>. The target=\"_blank\" attribute is mandatory.\n- It is very important to use the <a> tag; otherwise, the answer will be considered invalid.\n",
-                },
-            ],
-        )
-        self.assertIsNotNone(response)
-
-    async def test_chat_empty_history(self, chat_mock, mock_check_language):
-        mock_check_language.return_value = {"ISO_CODE": "en"}
+        response_json = response.json()
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(response_json, "ok")
 
+    async def test_chat_empty_history(self, chat_mock, *mocks):
+        chat_mock.return_value = "ok"
         response = client.post(
             f"{settings.API_V1_STR}/qna/chat/answer",
             json=JSON_NO_HIST,
@@ -109,65 +94,90 @@ async def test_chat_empty_history(self, chat_mock, mock_check_language):
         )
 
         chat_mock.assert_called_with(
-            type="text",
-            model="gpt-4o-mini",
-            messages=[
-                {
-                    "role": "system",
-                    "content": '\nCONTEXT: You are an expert in sustainable development goals (SDGs).\n\nOBJECTIVE: Answer the user\'s question based on the provided articles (enclosed in XML tags). Always include the reference of the article at the end of the sentence using the following format: <a href="http://document_url" target="_blank">[Doc 2]</a>.\n\nSTYLE: Structured, conversational, and easy to understand, as if explaining to a friend. Always include the reference of the article at the end of the sentence using the following format: <a href="http://document_url" target="_blank">[Doc 2]</a>.\n\nTONE: Informative yet engaging.\n\nAUDIENCE: Non-technical readers, university students aged 18-25 years, on a General cursus.\n\nRESPONSE: It is crucial to use the <a> tag; otherwise, the answer will be considered invalid. Provide a clear and structured response based on the articles and questions provided. Use breaks, bullet points, and lists to structure your answers if relevant. You don\'t have to use all articles, only if it makes sense in the conversation. Answer in the same language as the user did.\n',
-                },
-                {
-                    "role": "user",
-                    "content": "\nArticles:\n<article>\nDoc 1: testTitle\ntestContent\n\nurl:testUrl</article>\n\nQuestion: Bonjour?\n\nIMPORTANT:\n- The answer must be formulated in the same language as the question. Language: {'ISO_CODE': 'en'}.\n- Answer with the facts listed in the articles above. If there isn't enough information, say you don't know.\n- Every element of the answer must be supported by a reference to the article.\n- Add the reference of the article with a <a> tag as follows: <a href=\"http://document_url\" target=\"_blank\">[Doc 2]</a>. The target=\"_blank\" attribute is mandatory.\n- It is very important to use the <a> tag; otherwise, the answer will be considered invalid.\n",
-                },
+            query="Bonjour?",
+            history=[],
+            docs=[
+                DocumentModel(
+                    score=0.636549,
+                    payload=DocumentPayloadModel(
+                        document_corpus="testCorpus",
+                        document_desc="testDesc",
+                        document_details={
+                            "author": "testAuthor",
+                            "duration": 276,
+                            "readability": 42.61,
+                            "source": "au",
+                        },
+                        document_id="testDocId",
+                        document_lang="en",
+                        document_sdg=[11, 12, 13, 15, 2, 8],
+                        document_title="testTitle",
+                        document_url="testUrl",
+                        slice_content="testContent",
+                        slice_sdg=15,
+                    ),
+                )
             ],
+            subject=None,
         )
+        response_json = response.json()
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(response_json, "ok")
 
-        self.assertIsNotNone(response)
-
-    async def test_chat_not_supported_lang(self, chat_mock, mock__detect_language):
+    async def test_chat_not_supported_lang(self, chat_mock, *mocks):
         # mock raise LanguageNotSupportedError
-        mock__detect_language.side_effect = LanguageNotSupportedError
+        chat_mock.side_effect = LanguageNotSupportedError
         JSON_NO_HIST["query"] = "Bom dia?"
         response = client.post(
             f"{settings.API_V1_STR}/qna/chat/answer",
             json=JSON_NO_HIST,
             headers={"X-API-Key": "test"},
         )
+        self.assertEqual(response.status_code, 400)
 
-        chat_mock.assert_not_called()
-        self.assertIsNotNone(response)
-
-    async def test_chat_rephrase(self, mock_chat, mock_check_language):
+    async def test_chat_rephrase(self, *mocks):
         with mock.patch(
-            "src.app.services.abst_chat.AbstractChat.chat_message",
-            return_value=[
-                {"role": "user", "content": "How to promote sustainable agriculture?"}
-            ],
-        ):
+            "src.app.services.abst_chat.AbstractChat.rephrase_message",
+            return_value="ok",
+        ) as mock_rephrase:
             client.post(
                 f"{settings.API_V1_STR}/qna/chat/rephrase",
                 json=JSON,
                 headers={"X-API-Key": "test"},
             )
 
-            mock_chat.assert_called_with(
-                type="text",
-                model="gpt-4o-mini",
-                messages=[
-                    {
-                        "role": "system",
-                        "content": '\nCONTEXT: You are an expert in sustainable development goals (SDGs).\n\nOBJECTIVE: Answer the user\'s question based on the provided articles (enclosed in XML tags). Always include the reference of the article at the end of the sentence using the following format: <a href="http://document_url" target="_blank">[Doc 2]</a>.\n\nSTYLE: Structured, conversational, and easy to understand, as if explaining to a friend. Always include the reference of the article at the end of the sentence using the following format: <a href="http://document_url" target="_blank">[Doc 2]</a>.\n\nTONE: Informative yet engaging.\n\nAUDIENCE: Non-technical readers, university students aged 18-25 years, on a General cursus.\n\nRESPONSE: It is crucial to use the <a> tag; otherwise, the answer will be considered invalid. Provide a clear and structured response based on the articles and questions provided. Use breaks, bullet points, and lists to structure your answers if relevant. You don\'t have to use all articles, only if it makes sense in the conversation. Answer in the same language as the user did.\n',
-                    },
+            mock_rephrase.assert_called_with(
+                docs=[
+                    DocumentModel(
+                        score=0.636549,
+                        payload=DocumentPayloadModel(
+                            document_corpus="testCorpus",
+                            document_desc="testDesc",
+                            document_details={
+                                "author": "testAuthor",
+                                "duration": 276,
+                                "readability": 42.61,
+                                "source": "au",
+                            },
+                            document_id="testDocId",
+                            document_lang="en",
+                            document_sdg=[11, 12, 13, 15, 2, 8],
+                            document_title="testTitle",
+                            document_url="testUrl",
+                            slice_content="testContent",
+                            slice_sdg=15,
+                        ),
+                    )
+                ],
+                message="here is my answer",
+                history=[
                     {
                         "role": "user",
                         "content": "How to promote sustainable agriculture?",
                     },
-                    {
-                        "role": "user",
-                        "content": '\nCONTEXT: You are a sustainable development goals (SDGs) expert. You are given a prompt and extracted parts of documents. Each document is delimited with XML tags <article> </article>.\n\nOBJECTIVE: Reformulate the given prompt based on the chat conversation and given articles. Always add the reference of the article at the end of the sentence (as follows, <a href="http://document_url" target="_blank">[Doc 2]</a>).\n\nSTYLE: Structured, conversational, and easy to understand, like explaining to a friend. Always add the reference of the article at the end of the sentence (as follows, <a href="http://document_url" target="_blank">[Doc 2]</a>).\n\nTONE: Informative yet engaging.\n\nAUDIENCE: Non-technical readers, university students aged 18-25 years.\n\nRESPONSE: It is very important to use the <a> tag; otherwise, the answer will be considered invalid. Provide a clear and structured answer based on the articles and questions provided. If relevant, use breaks, bullet points, and lists to structure your answers. You don\'t have to use all articles, only if it makes sense in the conversation. Use the same language as the user did.\n\nIMPORTANT:\n- You must answer in the same language as the question.\n- Answer with the facts listed in the list of articles above. If there isn\'t enough information, say you don\'t know.\n- Every element of the answer must be supported by a reference to the article.\n- Add the reference of the article with a <a> tag as follows: <a href="http://document_url" target="_blank">[Doc 2]</a>. The target="_blank" attribute is mandatory.\n- It is very important to use the <a> tag; otherwise, the answer will be considered invalid.\n\nArticles:\n<article>\nDoc 1: testTitle\ntestContent\n\nurl:testUrl</article>\n\nPrompt: here is my answer\n\nReformulated prompt:\n',
-                    },
+                    {"role": "assistant", "content": "here is my answer"},
                 ],
+                subject=None,
             )
 
     def test_new_questions_empty_query(self, *mocks):
diff --git a/src/app/tests/services/test_abst_chat.py b/src/app/tests/services/test_abst_chat.py
index 2765d7c..a025f3f 100644
--- a/src/app/tests/services/test_abst_chat.py
+++ b/src/app/tests/services/test_abst_chat.py
@@ -1,99 +1,18 @@
 import unittest
 from unittest import mock
 
-from mistralai.models.assistantmessage import AssistantMessage  # type: ignore
-from mistralai.models.chatcompletionchoice import ChatCompletionChoice
-from mistralai.models.chatcompletionresponse import (  # type: ignore
-    ChatCompletionResponse,
-)
-from mistralai.models.usageinfo import UsageInfo
-
-# test abst_chat file
-# test ChatFactory class
-# mock open ai api and mistralai api
 from src.app.models.chat import ReformulatedQueryResponse
-from src.app.services.abst_chat import AbstractChat, ChatFactory
+from src.app.services.abst_chat import AbstractChat
 from src.app.services.exceptions import LanguageNotSupportedError
 
 
-def create_chat_responses_mocks(response: str):
-    return ChatCompletionResponse(
-        id="1",
-        object="obj",
-        created=1,
-        model="model",
-        usage=UsageInfo(prompt_tokens=1, total_tokens=1, completion_tokens=1),
-        choices=[
-            ChatCompletionChoice(
-                index=0,
-                message=AssistantMessage(content=response, role="assistant"),
-                finish_reason="stop",
-            )
-        ],
-    )
-
-
-# test that when calling factory with "mistral" it calls mistral class
-@mock.patch("src.app.services.abst_chat.Azure_Chat")
-@mock.patch("src.app.services.abst_chat.Open_Chat")
-@mock.patch("src.app.services.abst_chat.Mistral_Chat")
-class TestChatFactory(unittest.TestCase):
-    def test_create_chat_mistral(self, mock_mistral, mock_openai, mock_azure):
-        ChatFactory().create_chat("mistral")
-        assert mock_mistral.called
-        assert not mock_openai.called
-        assert not mock_azure.called
-
-    def test_create_openai(self, mock_mistral, mock_openai, mock_azure):
-        ChatFactory().create_chat("openai")
-        assert not mock_mistral.called
-        assert mock_openai.called
-        assert not mock_azure.called
-
-    def test_create_azure(self, mock_mistral, mock_openai, mock_azure):
-        ChatFactory().create_chat("azure", "Meta-Llama-3.1-8B-Instruct")
-        assert not mock_mistral.called
-        assert mock_azure.called
-        assert not mock_openai.called
-
-    def test_chatfactory_error(self, *mocks):
-        with self.assertRaises(ValueError):
-            ChatFactory().create_chat("other_service")
-
-
-# Mock concrete class for AbstractChat for testing purposes
-class ConcreteChat(AbstractChat):
-    def init_client(self):
-        pass  # No-op implementation
-
-    async def chat(self, type, model, messages):
-        # Simulate a mock response
-        return {"choices": [{"message": {"content": "Mocked chat response"}}]}
-
-    async def chat_schema(self, response_format, model, messages):
-        # Simulate a mock response
-        return {"choices": [{"message": {"content": "Mocked chat response"}}]}
-
-    async def streamed_chat(self, messages):
-        # Simulate a streaming response
-        yield "Streamed response"
-
-
+@mock.patch("src.app.services.abst_chat.LLMProxy")
 class TestAbstractChat(unittest.IsolatedAsyncioTestCase):
     def setUp(self):
-        # Instantiate ConcreteChat instead of AbstractChat
-        self.chat = ConcreteChat("api_key", "model")
-
-    def test_get_message_content(self):
-        # Create a mocked chat response
-        mocked_chat = create_chat_responses_mocks("this is a message")
-        # Ensure the method returns the expected content
-        self.assertEqual(
-            self.chat.get_message_content(mocked_chat), "this is a message"
-        )
+        self.chat = AbstractChat(model="model", API_KEY="toto_api_key")
 
     @mock.patch("src.app.services.abst_chat.detect_language_from_entry")
-    async def test_lang_error_helper(self, mock_detect_lang):
+    async def test_lang_error_helper(self, mock_detect_lang, *mocks):
         self.chat._detect_lang_with_llm = mock.AsyncMock()
 
         mock_detect_lang.side_effect = LanguageNotSupportedError
@@ -103,76 +22,81 @@ async def test_lang_error_helper(self, mock_detect_lang):
     @mock.patch(
         "src.app.services.abst_chat.detect_language_from_entry", return_value="en"
     )
-    async def test_lang_ok(self, mock_detect_lang):
+    async def test_lang_ok(self, *mocks):
         lang = await self.chat._detect_language("fake message")
         assert lang == {"ISO_CODE": "en"}
 
-    async def test_lang_not_supported(self):
-        mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "pt"}')
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
+    @mock.patch(
+        "src.app.services.abst_chat.detect_language_from_entry",
+        side_effect=LanguageNotSupportedError,
+    )
+    async def test_lang_not_supported(self, *mocks):
+        mocked_chat = {"ISO_CODE": "pt"}
+        self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat)
         with self.assertRaises(LanguageNotSupportedError):
             await self.chat._detect_language("fake message")
 
-        mocked_chat = create_chat_responses_mocks("not json format")
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
+        mocked_chat = "not json format"
+        self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat)
         with self.assertRaises(ValueError):
             await self.chat._detect_language("fake message")
 
-    async def test_lang_supported(self):
-        mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "en"}')
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
+    @mock.patch(
+        "src.app.services.abst_chat.detect_language_from_entry",
+        side_effect=LanguageNotSupportedError,
+    )
+    async def test_lang_supported(self, *mocks):
+        mocked_chat = {"ISO_CODE": "en"}
+        self.chat.chat_client.completion = mock.AsyncMock(
+            return_value={"ISO_CODE": "en"}
+        )
         assert await self.chat._detect_language("fake message") == {"ISO_CODE": "en"}
 
-        mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "fr"}')
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
+        mocked_chat = {"ISO_CODE": "fr"}
+        self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat)
         assert await self.chat._detect_language("fake message") == {"ISO_CODE": "fr"}
 
-    async def test_detect_past_message(self):
-        mocked_chat = create_chat_responses_mocks('{"REF_TO_PAST": true}')
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
+    async def test_detect_past_message_true(self, *mocks):
+        mocked_chat = {"REF_TO_PAST": True}
+        self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat)
         assert await self.chat._detect_past_message_ref("fake message", []) == {
             "REF_TO_PAST": True
         }
 
-        mocked_chat = create_chat_responses_mocks(' {"REF_TO_PAST": true} ')
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
-        assert await self.chat._detect_past_message_ref("fake message", []) == {
-            "REF_TO_PAST": True
-        }
-
-        mocked_chat = create_chat_responses_mocks('{"REF_TO_PAST": false}')
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
+    async def test_detect_past_message_false(self, *mocks):
+        mocked_chat = {"REF_TO_PAST": False}
+        self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat)
         assert await self.chat._detect_past_message_ref("fake message", []) == {
             "REF_TO_PAST": False
         }
 
-        mocked_chat = create_chat_responses_mocks('{"REF_TO_TOTO": false}')
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
+        mocked_chat = {"REF_TO_TOTO": False}
+        self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat)
         with self.assertRaises(ValueError):
             await self.chat._detect_past_message_ref("fake message", [])
 
-    async def test_detect_past_message_invalid_format(self):
-        mocked_chat = create_chat_responses_mocks("this is not a true/false answer")
-        self.chat.chat = mock.AsyncMock(return_value=mocked_chat)
+    async def test_detect_past_message_invalid_format(self, *mocks):
+        mocked_chat = "this is not a true/false answer"
+        self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat)
         with self.assertRaises(ValueError):
             await self.chat._detect_past_message_ref("fake message", [])
 
-    async def test_reformulate_user_query_invalid_ref_to_pas(self):
+    async def test_reformulate_user_query_invalid_ref_to_pas(self, *mocks):
         self.chat._detect_past_message_ref = mock.AsyncMock(
             return_value={"REF_TO_PAST": True}
         )
 
-        self.chat.chat_schema = mock.AsyncMock()
+        self.chat.chat_client.completion = mock.AsyncMock()
         resp = await self.chat.reformulate_user_query("this is the user query", [])
         assert resp.QUERY_STATUS == "INVALID"
-        self.chat.chat_schema.assert_not_called()
+        self.chat.chat_client.completion.assert_not_called()
 
-    async def test_reformulate_user_query_valid_ref_to_pas(self):
+    async def test_reformulate_user_query_valid_ref_to_pas(self, *mocks):
         self.chat._detect_past_message_ref = mock.AsyncMock(
             return_value={"REF_TO_PAST": True}
         )
 
-        self.chat.chat_schema = mock.AsyncMock()
+        self.chat.chat_client.completion = mock.AsyncMock()
         resp = await self.chat.reformulate_user_query(
             "this is the user query",
             [
@@ -181,14 +105,19 @@ async def test_reformulate_user_query_valid_ref_to_pas(self):
             ],
         )
         assert resp.QUERY_STATUS == "REF_TO_PAST"
-        self.chat.chat_schema.assert_not_called()
+        self.chat.chat_client.completion.assert_not_called()
 
-    async def test_reformulate_user_query_hist(self):
+    async def test_reformulate_user_query_hist(self, *mocks):
         self.chat._detect_past_message_ref = mock.AsyncMock(
             return_value={"REF_TO_PAST": False}
         )
         self.chat._detect_language = mock.AsyncMock()
-        self.chat.chat_schema = mock.AsyncMock(return_value=ReformulatedQueryResponse())
+        self.chat.chat_client.completion = mock.AsyncMock(
+            return_value=ReformulatedQueryResponse(
+                STANDALONE_QUESTION_EN="Question 1?",
+                STANDALONE_QUESTION_FR="Question 2?",
+            )
+        )
         await self.chat.reformulate_user_query(
             "this is the user query",
             [
@@ -205,14 +134,14 @@ async def test_reformulate_user_query_hist(self):
             ],
         )
 
-        self.chat.chat_schema.assert_called_once()
+        self.chat.chat_client.completion.assert_called_once()
 
-    async def test_reformulate_user_query__INVALID__(self):
+    async def test_reformulate_user_query__INVALID__(self, *mocks):
         self.chat._detect_past_message_ref = mock.AsyncMock(
             return_value={"REF_TO_PAST": False}
         )
         self.chat._detect_language = mock.AsyncMock()
-        self.chat.chat_schema = mock.AsyncMock(
+        self.chat.chat_client.completion = mock.AsyncMock(
             return_value=ReformulatedQueryResponse(QUERY_STATUS="INVALID"),
         )
         reformulated = await self.chat.reformulate_user_query(
@@ -225,16 +154,16 @@ async def test_reformulate_user_query__INVALID__(self):
 
         assert reformulated.QUERY_STATUS == "INVALID"
 
-    async def test_reformulate_user_query_valueError(self):
+    async def test_reformulate_user_query_valueError(self, *mocks):
+        """
+        Test the case where the response from the chat client is not in the expected format.
+        """
+
         self.chat._detect_past_message_ref = mock.AsyncMock(
             return_value={"REF_TO_PAST": False}
         )
-        self.chat.chat_schema = mock.AsyncMock(
-            return_value={
-                "STANDALONE_QUESTION_EN": "Question 1?",
-                "USER_LANGUAGE": "en",
-                "STANDALONE_QUESTION_FR": "Question 2?",
-            }
+        self.chat.chat_client.completion = mock.AsyncMock(
+            return_value="STANDALONE_QUESTION_FRQuestion 2?"
         )
         with self.assertRaises(ValueError):
             await self.chat.reformulate_user_query(
@@ -245,12 +174,12 @@ async def test_reformulate_user_query_valueError(self):
                 ],
             )
 
-    async def test_reformulate_user_chat_not_called_if_ref_to_past(self):
+    async def test_reformulate_user_chat_not_called_if_ref_to_past(self, *mocks):
         self.chat._detect_past_message_ref = mock.AsyncMock(
             return_value={"REF_TO_PAST": True}
         )
         self.chat._detect_language = mock.AsyncMock()
-        self.chat.chat_schema = mock.AsyncMock()
+        self.chat.chat_client.completion = mock.AsyncMock()
         reformulated = await self.chat.reformulate_user_query(
             "this is the user query",
             [
@@ -266,17 +195,15 @@ async def test_reformulate_user_chat_not_called_if_ref_to_past(self):
                 {"message": "this is the second past message"},
             ],
         )
-        self.chat.chat_schema.assert_not_called()
+        self.chat.chat_client.completion.assert_not_called()
         assert reformulated == ReformulatedQueryResponse(QUERY_STATUS="REF_TO_PAST")
 
-    async def test_get_new_questions(self):
+    async def test_get_new_questions(self, *mocks):
         with mock.patch.object(
             self.chat, "_detect_language", new_callable=mock.AsyncMock
         ) as mock_detect_lang:
-            self.chat.chat = mock.AsyncMock(
-                return_value=create_chat_responses_mocks(
-                    "%%Question 1?%% Question 2?%%"
-                ),
+            self.chat.chat_client.completion = mock.AsyncMock(
+                return_value="%%Question 1?%% Question 2?%%",
             )
             new_questions = await self.chat.get_new_questions(
                 "this is the user query", []
@@ -285,18 +212,18 @@ async def test_get_new_questions(self):
             mock_detect_lang.assert_called_with("this is the user query")
             assert new_questions == {"NEW_QUESTIONS": ["Question 1?", "Question 2?"]}
 
-    async def test_rephrase_message_stream_false(self):
-        self.chat.chat = mock.AsyncMock()
-        self.chat.streamed_chat = mock.AsyncMock()
+    async def test_rephrase_message_stream_false(self, *mocks):
+        self.chat.chat_client.completion = mock.AsyncMock()
+        self.chat.chat_client.completion_stream = mock.AsyncMock()
         await self.chat.rephrase_message(
             message="this is the user query", history=[], docs=[], subject="default"
         )
-        self.chat.chat.assert_called_once()
-        self.chat.streamed_chat.assert_not_called()
+        self.chat.chat_client.completion.assert_called_once()
+        self.chat.chat_client.completion_stream.assert_not_called()
 
-    async def test_rephrase_message_stream_true(self):
-        self.chat.chat = mock.AsyncMock()
-        self.chat.streamed_chat = mock.AsyncMock()
+    async def test_rephrase_message_stream_true(self, *mocks):
+        self.chat.chat_client.completion = mock.AsyncMock()
+        self.chat.chat_client.completion_stream = mock.AsyncMock()
         await self.chat.rephrase_message(
             message="this is the user query",
             history=[],
@@ -304,15 +231,15 @@ async def test_rephrase_message_stream_true(self):
             subject="default",
             streamed_ans=True,
         )
-        self.chat.streamed_chat.assert_called_once()
-        self.chat.chat.assert_not_called()
+        self.chat.chat_client.completion_stream.assert_called_once()
+        self.chat.chat_client.completion.assert_not_called()
 
-    async def test_chat_message(self):
+    async def test_chat_message(self, *mocks):
         with mock.patch.object(
             self.chat, "_detect_language", new_callable=mock.AsyncMock
         ) as mock_detect_lang:
-            self.chat.chat = mock.AsyncMock()
-            self.chat.streamed_chat = mock.AsyncMock()
+            self.chat.chat_client.completion = mock.AsyncMock()
+            self.chat.chat_client.completion_stream = mock.AsyncMock()
 
             await self.chat.chat_message(
                 query="this is a query",
@@ -324,10 +251,5 @@ async def test_chat_message(self):
             )
 
             mock_detect_lang.assert_called_with("this is a query")
-            self.chat.chat.assert_not_called()
-            self.chat.streamed_chat.assert_called_once()
-
-    async def test_flex_chat(self):
-        self.chat.chat = mock.AsyncMock()
-        await self.chat.flex_chat("this is a query")
-        self.chat.chat.assert_called_once()
+            self.chat.chat_client.completion.assert_not_called()
+            self.chat.chat_client.completion_stream.assert_called_once()
diff --git a/src/app/tests/services/test_llm_proxy.py b/src/app/tests/services/test_llm_proxy.py
new file mode 100644
index 0000000..208f1da
--- /dev/null
+++ b/src/app/tests/services/test_llm_proxy.py
@@ -0,0 +1,54 @@
+import unittest
+from unittest import mock
+
+from litellm.types.utils import Choices, Message, ModelResponse
+
+from src.app.services.llm_proxy import LLMProxy
+
+
+def create_chat_responses_mocks(response: str):
+    return ModelResponse(
+        choices=[
+            Choices(
+                message=Message(content=response, role="assistant"),
+            )
+        ],
+    )
+
+
+@mock.patch("src.app.services.llm_proxy.acompletion", new_callable=mock.AsyncMock)
+class TestLLMProxy(unittest.IsolatedAsyncioTestCase):
+    def setUp(self):
+        self.proxy = LLMProxy(model="fake_model")
+
+    async def test_response_as_text(self, mocked_acompletion):
+        mocked_acompletion.return_value = create_chat_responses_mocks(response="text")
+        response = await self.proxy.completion(
+            messages=[{"role": "user", "content": "Hello"}],
+        )
+
+        self.assertIs(response, "text")
+        self.assertIsInstance(response, str)
+
+    async def test_response_as_dict(self, mocked_acompletion):
+        mocked_acompletion.return_value = create_chat_responses_mocks(
+            response='{"key": "value"}'
+        )
+        response = await self.proxy.completion(
+            messages=[{"role": "user", "content": "Hello"}],
+        )
+
+        self.assertIsInstance(response, dict)
+
+    async def test_stream(self, mocked_acompletion):
+        await self.proxy.completion_stream(
+            messages=[{"role": "user", "content": "Hello"}],
+        )
+        mocked_acompletion.assert_called_with(
+            model="fake_model",
+            api_key=None,
+            api_base=None,
+            api_version=None,
+            messages=[{"role": "user", "content": "Hello"}],
+            stream=True,
+        )