diff --git a/.env.example b/.env.example
index 65b21a9..6021d5b 100644
--- a/.env.example
+++ b/.env.example
@@ -1,5 +1,6 @@
 CLIENT_ORIGINS=https://fake-origin.example.com
 CLIENT_ORIGINS_REGEX="^http://fake-localhost:.*"
+SESSION_COOKIE_DOMAIN=.example.com
 ENV=development
 
 ##### AZURE #####
diff --git a/poetry.lock b/poetry.lock
index c1905be..02ca066 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -7,7 +7,6 @@ description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
     {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
@@ -20,7 +19,6 @@ description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"},
     {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"},
@@ -164,7 +162,6 @@ description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"},
     {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"},
@@ -181,7 +178,6 @@ description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "alembic-1.18.3-py3-none-any.whl", hash = "sha256:12a0359bfc068a4ecbb9b3b02cf77856033abfdb59e4a5aca08b7eacd7b74ddd"},
     {file = "alembic-1.18.3.tar.gz", hash = "sha256:1212aa3778626f2b0f0aa6dd4e99a5f99b94bd25a0c1ac0bba3be65e081e50b0"},
@@ -203,7 +199,6 @@ description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -216,7 +211,6 @@ description = "High-level concurrency and networking framework on top of asyncio
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"},
     {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"},
@@ -237,7 +231,6 @@ description = "A small Python module for determining appropriate platform-specif
 optional = false
 python-versions = "*"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
@@ -250,7 +243,6 @@ description = "An abstract syntax tree for Python with inference support."
 optional = false
 python-versions = ">=3.7.2"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "astroid-2.15.8-py3-none-any.whl", hash = "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c"},
     {file = "astroid-2.15.8.tar.gz", hash = "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"},
@@ -271,7 +263,7 @@ description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 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"},
@@ -284,7 +276,6 @@ description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"},
     {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"},
@@ -297,7 +288,6 @@ description = "AutoGen agents and teams library"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "autogen_agentchat-0.5.7-py3-none-any.whl", hash = "sha256:b9c8548e02eed9765c02800182b13bd9747f1561b23df66983bedd8c5fdddb86"},
     {file = "autogen_agentchat-0.5.7.tar.gz", hash = "sha256:6f888f03224d658cc130548c3e42558a177a7f7f3eb59b414396c412ec282728"},
@@ -313,7 +303,6 @@ description = "Foundational interfaces and agent runtime implementation for Auto
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "autogen_core-0.5.7-py3-none-any.whl", hash = "sha256:a276af987b7861092194bfd73bab49ac36f3fee55958a60b0b43ea67612d2e50"},
     {file = "autogen_core-0.5.7.tar.gz", hash = "sha256:0e3b23b64bd2c7c3180ab4431c137104473e11a846088cc2dd629a0e1fdfbf2f"},
@@ -334,7 +323,6 @@ description = "AutoGen extensions library"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "autogen_ext-0.5.7-py3-none-any.whl", hash = "sha256:1744195107d814621dc0e967b7f7a4fa09e063fa5ed728c3ba118e9aa88acad2"},
     {file = "autogen_ext-0.5.7.tar.gz", hash = "sha256:987aa70d8eecd05c9dea4aad793e9d1369a3d3ceb022dfeafb4cd98b6b4869fc"},
@@ -387,7 +375,6 @@ description = "Microsoft Azure AI Content Safety Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "azure-ai-contentsafety-1.0.0.tar.gz", hash = "sha256:052731bd1419a720fa00910f46bf3428c4e5bd05280da7393d0c8106d46cc6d7"},
     {file = "azure_ai_contentsafety-1.0.0-py3-none-any.whl", hash = "sha256:e1c5574a541f9290fdd071d23535e14b1f463af231a6f0ac0f917e125f0463cf"},
@@ -404,7 +391,6 @@ description = "Microsoft Corporation Azure AI Content Understanding Client Libra
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "azure_ai_contentunderstanding-1.1.0-py3-none-any.whl", hash = "sha256:d1d6bdeffe02f5c8cc5309f0e120a1338f51af04638605f9617b7b501e2d1dd6"},
     {file = "azure_ai_contentunderstanding-1.1.0.tar.gz", hash = "sha256:00f39c7cf2ba50c8d4586315f4295a45fad0881daaff07d13d33aea2bafc7ec8"},
@@ -422,7 +408,6 @@ description = "Microsoft Azure AI Inference Client Library for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -444,7 +429,6 @@ description = "Microsoft Corporation Azure AI Projects Client Library for Python
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "azure_ai_projects-2.1.0-py3-none-any.whl", hash = "sha256:6f259d8eb9167d2dfd372006d0221a8118faeaeb05829fa898b595bc6f19c699"},
     {file = "azure_ai_projects-2.1.0.tar.gz", hash = "sha256:f0749fa9a174255aa1a5550fb6078208521518472907a4c6dd552767d9b39caa"},
@@ -465,7 +449,6 @@ description = "Microsoft Azure Client Library for Python (Common)"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "azure-common-1.1.28.zip", hash = "sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3"},
     {file = "azure_common-1.1.28-py2.py3-none-any.whl", hash = "sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad"},
@@ -478,7 +461,6 @@ description = "Microsoft Azure Core Library for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "azure_core-1.38.0-py3-none-any.whl", hash = "sha256:ab0c9b2cd71fecb1842d52c965c95285d3cfb38902f6766e4a471f1cd8905335"},
     {file = "azure_core-1.38.0.tar.gz", hash = "sha256:8194d2682245a3e4e3151a667c686464c3786fed7918b394d035bdcd61bb5993"},
@@ -499,7 +481,6 @@ description = "Microsoft Azure Identity Library for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "azure_identity-1.25.1-py3-none-any.whl", hash = "sha256:e9edd720af03dff020223cd269fa3a61e8f345ea75443858273bcb44844ab651"},
     {file = "azure_identity-1.25.1.tar.gz", hash = "sha256:87ca8328883de6036443e1c37b40e8dc8fb74898240f61071e09d2e369361456"},
@@ -519,7 +500,6 @@ description = "Microsoft Azure Cognitive Search Client Library for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "azure_search_documents-11.6.0-py3-none-any.whl", hash = "sha256:c3eb2deaf7926844e99a881830861225ef68e8b3bc067a76019e87fc7f5586dc"},
     {file = "azure_search_documents-11.6.0.tar.gz", hash = "sha256:fcc807076ff82024be576ffccb0d0f3261e5c2a112a6666b86ec70bbdb2e1d64"},
@@ -538,7 +518,6 @@ description = "Microsoft Azure Blob Storage Client Library for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "azure_storage_blob-12.28.0-py3-none-any.whl", hash = "sha256:00fb1db28bf6a7b7ecaa48e3b1d5c83bfadacc5a678b77826081304bd87d6461"},
     {file = "azure_storage_blob-12.28.0.tar.gz", hash = "sha256:e7d98ea108258d29aa0efbfd591b2e2075fa1722a2fae8699f0b3c9de11eff41"},
@@ -560,7 +539,6 @@ description = "Function decoration for backoff and retry"
 optional = false
 python-versions = ">=3.7,<4.0"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -573,7 +551,6 @@ description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.7.0"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb"},
     {file = "beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86"},
@@ -597,7 +574,6 @@ description = "The bidirectional mapping library for Python."
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "bidict-0.23.1-py3-none-any.whl", hash = "sha256:5dae8d4d79b552a71cbabc7deb25dfe8ce710b17ff41711e13010ead2abfc3e5"},
     {file = "bidict-0.23.1.tar.gz", hash = "sha256:03069d763bc387bbd20e7d49914e75fc4132a41937fa3405417e1a5a2d006d71"},
@@ -610,7 +586,6 @@ description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -658,7 +633,6 @@ description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"},
     {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
@@ -671,7 +645,6 @@ description = "Python bindings for the Brotli compression library"
 optional = false
 python-versions = "*"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "brotli-1.2.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:99cfa69813d79492f0e5d52a20fd18395bc82e671d5d40bd5a91d13e75e468e8"},
     {file = "brotli-1.2.0-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:3ebe801e0f4e56d17cd386ca6600573e3706ce1845376307f5d2cbd32149b69a"},
@@ -782,7 +755,6 @@ description = "Dummy package for Beautiful Soup (beautifulsoup4)"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "bs4-0.0.2-py2.py3-none-any.whl", hash = "sha256:abf8742c0805ef7f662dce4b51cca104cffe52b835238afc169142ab9b3fbccc"},
     {file = "bs4-0.0.2.tar.gz", hash = "sha256:a48685c58f50fe127722417bae83fe6badf500d54b55f7e39ffe43b798653925"},
@@ -798,7 +770,6 @@ description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"},
     {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"},
@@ -897,7 +868,7 @@ files = [
     {file = "cffi-2.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:b882b3df248017dba09d6b16defe9b5c407fe32fc7c65a9c69798e6175601be9"},
     {file = "cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529"},
 ]
-markers = {main = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_python_implementation != \"PyPy\"", metrics = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and (platform_python_implementation == \"CPython\" or implementation_name == \"pypy\") and (implementation_name == \"pypy\" or sys_platform == \"win32\")"}
+markers = {main = "platform_python_implementation != \"PyPy\"", metrics = "platform_python_implementation == \"CPython\" and sys_platform == \"win32\" or implementation_name == \"pypy\""}
 
 [package.dependencies]
 pycparser = {version = "*", markers = "implementation_name != \"PyPy\""}
@@ -909,7 +880,6 @@ description = "The Real First Universal Charset Detector. Open, modern and activ
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"},
     {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"},
@@ -1033,7 +1003,6 @@ description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "dev", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"},
     {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"},
@@ -1053,7 +1022,7 @@ files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
-markers = {main = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and (platform_system == \"Windows\" or sys_platform == \"win32\")", dev = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and (platform_system == \"Windows\" or sys_platform == \"win32\")", metrics = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_system == \"Windows\""}
+markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\"", metrics = "platform_system == \"Windows\""}
 
 [[package]]
 name = "configargparse"
@@ -1062,7 +1031,6 @@ description = "A drop-in replacement for argparse that allows options to also be
 optional = false
 python-versions = ">=3.6"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "configargparse-1.7.1-py3-none-any.whl", hash = "sha256:8b586a31f9d873abd1ca527ffbe58863c99f36d896e2829779803125e83be4b6"},
     {file = "configargparse-1.7.1.tar.gz", hash = "sha256:79c2ddae836a1e5914b71d58e4b9adbd9f7779d4e6351a637b7d2d9b6c46d3d9"},
@@ -1079,7 +1047,6 @@ description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "coverage-7.13.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4af3b01763909f477ea17c962e2cca8f39b350a4e46e3a30838b2c12e31b81b"},
     {file = "coverage-7.13.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:36393bd2841fa0b59498f75466ee9bdec4f770d3254f031f23e8fd8e140ffdd2"},
@@ -1188,7 +1155,6 @@ description = "cryptography is a package which provides cryptographic recipes an
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "cryptography-46.0.4-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:281526e865ed4166009e235afadf3a4c4cba6056f99336a99efba65336fd5485"},
     {file = "cryptography-46.0.4-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5f14fba5bf6f4390d7ff8f086c566454bff0411f6d8aa7af79c88b6f9267aecc"},
@@ -1262,7 +1228,6 @@ description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = "<4.0,>=3.7"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -1279,7 +1244,6 @@ description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.9.0"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "datasets-4.5.0-py3-none-any.whl", hash = "sha256:b5d7e08096ffa407dd69e58b1c0271c9b2506140839b8d99af07375ad31b6726"},
     {file = "datasets-4.5.0.tar.gz", hash = "sha256:00c698ce1c2452e646cc5fad47fef39d3fe78dd650a8a6eb205bb45eb63cd500"},
@@ -1324,7 +1288,6 @@ description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "dill-0.4.0-py3-none-any.whl", hash = "sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049"},
     {file = "dill-0.4.0.tar.gz", hash = "sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0"},
@@ -1341,7 +1304,6 @@ description = "Disk Cache -- Disk and file backed persistent cache."
 optional = false
 python-versions = ">=3"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"},
     {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
@@ -1354,7 +1316,6 @@ description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -1367,7 +1328,6 @@ description = "Parse Python docstrings in reST, Google and Numpydoc format"
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "docstring_parser-0.17.0-py3-none-any.whl", hash = "sha256:cf2569abd23dce8099b300f9b4fa8191e9582dda731fd533daf54c4551658708"},
     {file = "docstring_parser-0.17.0.tar.gz", hash = "sha256:583de4a309722b3315439bb31d64ba3eebada841f2e2cee23b99df001434c912"},
@@ -1385,7 +1345,6 @@ description = "EcoLogits tracks and estimates the energy consumption and environ
 optional = false
 python-versions = "<4,>=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "ecologits-0.5.2-py3-none-any.whl", hash = "sha256:d228aba35e56ee22080ea205a0955d914384dd4be82a26ed31e9017aa503ea58"},
     {file = "ecologits-0.5.2.tar.gz", hash = "sha256:33e9ec145c733306dae86a78a875064fc040f94dcd6b3b7e5dd7de8bfe94ab65"},
@@ -1412,7 +1371,6 @@ description = "Like `typing._eval_type`, but lets older Python versions use newe
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "eval_type_backport-0.3.1-py3-none-any.whl", hash = "sha256:279ab641905e9f11129f56a8a78f493518515b83402b860f6f06dd7c011fdfa8"},
     {file = "eval_type_backport-0.3.1.tar.gz", hash = "sha256:57e993f7b5b69d271e37482e62f74e76a0276c82490cf8e4f0dffeb6b332d5ed"},
@@ -1428,7 +1386,7 @@ description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "dev", "metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"},
     {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"},
@@ -1447,7 +1405,6 @@ description = "FastAPI framework, high performance, easy to learn, fast to code,
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "fastapi-0.115.14-py3-none-any.whl", hash = "sha256:6c0c8bf9420bd58f565e585036d971872472b4f7d3f6c73b698e10cffdefb3ca"},
     {file = "fastapi-0.115.14.tar.gz", hash = "sha256:b1de15cdc1c499a4da47914db35d0e4ef8f1ce62b624e94e0e5824421df99739"},
@@ -1469,7 +1426,6 @@ description = "Python bindings to Rust's UUID library."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "fastuuid-0.14.0-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:6e6243d40f6c793c3e2ee14c13769e341b90be5ef0c23c82fa6515a96145181a"},
     {file = "fastuuid-0.14.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:13ec4f2c3b04271f62be2e1ce7e95ad2dd1cf97e94503a3760db739afbd48f00"},
@@ -1558,7 +1514,6 @@ description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"},
     {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"},
@@ -1571,7 +1526,6 @@ description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
     {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
@@ -1589,7 +1543,6 @@ description = "A simple framework for building complex web applications."
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "flask-3.1.2-py3-none-any.whl", hash = "sha256:ca1d8112ec8a6158cc29ea4858963350011b5c846a414cdb7a954aa9e967d03c"},
     {file = "flask-3.1.2.tar.gz", hash = "sha256:bf656c15c80190ed628ad08cdfd3aaa35beb087855e2f494910aa3774cc4fd87"},
@@ -1614,7 +1567,6 @@ description = "A Flask extension simplifying CORS support"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "flask_cors-6.0.2-py3-none-any.whl", hash = "sha256:e57544d415dfd7da89a9564e1e3a9e515042df76e12130641ca6f3f2f03b699a"},
     {file = "flask_cors-6.0.2.tar.gz", hash = "sha256:6e118f3698249ae33e429760db98ce032a8bf9913638d085ca0f4c5534ad2423"},
@@ -1631,7 +1583,6 @@ description = "User authentication and session management for Flask."
 optional = false
 python-versions = ">=3.7"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -1648,7 +1599,6 @@ description = "A list-like structure which implements collections.abc.MutableSeq
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"},
     {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"},
@@ -1789,7 +1739,6 @@ description = "File-system specification"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "fsspec-2025.10.0-py3-none-any.whl", hash = "sha256:7c7712353ae7d875407f97715f0e1ffcc21e33d5b24556cb1e090ae9409ec61d"},
     {file = "fsspec-2025.10.0.tar.gz", hash = "sha256:b6789427626f068f9a83ca4e8a3cc050850b6c0f71f99ddb4f542b8266a26a59"},
@@ -1833,7 +1782,6 @@ description = "Coroutine-based network library"
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "gevent-25.5.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:8e5a0fab5e245b15ec1005b3666b0a2e867c26f411c8fe66ae1afe07174a30e9"},
     {file = "gevent-25.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7b80a37f2fb45ee4a8f7e64b77dd8a842d364384046e394227b974a4e9c9a52"},
@@ -1896,7 +1844,6 @@ description = "HTTP client library for gevent"
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "geventhttpclient-2.3.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7633377aac25e1aeb9f34a8e64e0688eaee3c47471e199489ae267bc399078b8"},
     {file = "geventhttpclient-2.3.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9537bc6ef21ba4d50d4a48ddbe12ac5168857ebf34ce1452d290ecf6d68d9e58"},
@@ -2051,7 +1998,7 @@ files = [
     {file = "greenlet-3.3.1-cp314-cp314t-win_amd64.whl", hash = "sha256:301860987846c24cb8964bdec0e31a96ad4a2a801b41b4ef40963c1b44f33451"},
     {file = "greenlet-3.3.1.tar.gz", hash = "sha256:41848f3230b58c08bb43dee542e74a2a2e34d3c59dc3076cec9151aeeedcae98"},
 ]
-markers = {main = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")", metrics = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_python_implementation == \"CPython\")"}
+markers = {main = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\"", metrics = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_python_implementation == \"CPython\""}
 
 [package.extras]
 docs = ["Sphinx", "furo"]
@@ -2064,7 +2011,6 @@ description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "grpcio-1.76.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:65a20de41e85648e00305c1bb09a3598f840422e522277641145a32d42dcefcc"},
     {file = "grpcio-1.76.0-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:40ad3afe81676fd9ec6d9d406eda00933f218038433980aa19d401490e46ecde"},
@@ -2142,7 +2088,6 @@ description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -2155,7 +2100,6 @@ description = "Pure-Python HTTP/2 protocol implementation"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "h2-4.3.0-py3-none-any.whl", hash = "sha256:c438f029a25f7945c69e0ccf0fb951dc3f73a5f6412981daee861431b70e2bdd"},
     {file = "h2-4.3.0.tar.gz", hash = "sha256:6c59efe4323fa18b47a632221a1888bd7fde6249819beda254aeca909f221bf1"},
@@ -2172,7 +2116,7 @@ description = "Fast transfer of large files with the Hugging Face Hub."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and (platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\")"
+markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
 files = [
     {file = "hf_xet-1.4.3-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:7551659ba4f1e1074e9623996f28c3873682530aee0a846b7f2f066239228144"},
     {file = "hf_xet-1.4.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:bee693ada985e7045997f05f081d0e12c4c08bd7626dc397f8a7c487e6c04f7f"},
@@ -2211,7 +2155,6 @@ description = "Pure-Python HPACK header encoding"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"},
     {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
@@ -2224,7 +2167,6 @@ description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
     {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
@@ -2247,7 +2189,6 @@ description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "httptools-0.7.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:11d01b0ff1fe02c4c32d60af61a4d613b74fad069e47e06e9067758c01e9ac78"},
     {file = "httptools-0.7.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:84d86c1e5afdc479a6fdabf570be0d3eb791df0ae727e8dbc0259ed1249998d4"},
@@ -2301,7 +2242,6 @@ description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -2328,7 +2268,6 @@ description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "httpx_sse-0.4.3-py3-none-any.whl", hash = "sha256:0ac1c9fe3c0afad2e0ebb25a934a59f4c7823b60792691f779fad2c5568830fc"},
     {file = "httpx_sse-0.4.3.tar.gz", hash = "sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d"},
@@ -2341,7 +2280,6 @@ description = "Client library to download and publish models, datasets and other
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "huggingface_hub-0.36.2-py3-none-any.whl", hash = "sha256:48f0c8eac16145dfce371e9d2d7772854a4f591bcb56c9cf548accf531d54270"},
     {file = "huggingface_hub-0.36.2.tar.gz", hash = "sha256:1934304d2fb224f8afa3b87007d58501acfda9215b334eed53072dd5e815ff7a"},
@@ -2381,7 +2319,6 @@ description = "Pure-Python HTTP/2 framing"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
     {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
@@ -2394,7 +2331,6 @@ description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"},
     {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"},
@@ -2410,7 +2346,6 @@ description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"},
     {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"},
@@ -2435,7 +2370,6 @@ description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"},
     {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"},
@@ -2448,7 +2382,6 @@ description = "structured outputs for llm"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "instructor-1.14.5-py3-none-any.whl", hash = "sha256:2a5a31222b008c0989be1cc001e33a237f49506e80ac5833f6d36d7690bae7b1"},
     {file = "instructor-1.14.5.tar.gz", hash = "sha256:fcb6432867f2fe4a5986e8bf389dcc64ed2ad4039a12a2dff85464e51c2f171a"},
@@ -2499,7 +2432,6 @@ description = "An ISO 8601 date/time/duration parser and formatter"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"},
     {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"},
@@ -2512,7 +2444,6 @@ description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main", "dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
     {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
@@ -2528,7 +2459,6 @@ description = "Safely pass data to untrusted environments and back."
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
     {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
@@ -2541,7 +2471,6 @@ description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -2560,7 +2489,6 @@ description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jiter-0.11.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ed58841a491bbbf3f7c55a6b68fff568439ab73b2cce27ace0e169057b5851df"},
     {file = "jiter-0.11.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:499beb9b2d7e51d61095a8de39ebcab1d1778f2a74085f8305a969f6cee9f3e4"},
@@ -2673,7 +2601,6 @@ description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"},
     {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"},
@@ -2686,7 +2613,6 @@ description = "A package to repair broken json strings"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "json_repair-0.55.2-py3-none-any.whl", hash = "sha256:08109b093fc9fe99b956b8309f9c1dfd2740637056d93df489cc7b4eb56d4286"},
     {file = "json_repair-0.55.2.tar.gz", hash = "sha256:aa5c89692126257efb8e3cf1efe6787387634b5c360fb77313d66f146e980de6"},
@@ -2699,7 +2625,6 @@ 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 = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
     {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -2715,7 +2640,6 @@ description = "A lightweight and powerful JSONPath implementation for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jsonpath_python-1.1.5-py3-none-any.whl", hash = "sha256:a60315404d70a65e76c9a782c84e50600480221d94a58af47b7b4d437351cb4b"},
     {file = "jsonpath_python-1.1.5.tar.gz", hash = "sha256:ceea2efd9e56add09330a2c9631ea3d55297b9619348c1055e5bfb9cb0b8c538"},
@@ -2731,7 +2655,6 @@ description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -2744,7 +2667,6 @@ description = "jsonref is a library for automatic dereferencing of JSON Referenc
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jsonref-1.1.0-py3-none-any.whl", hash = "sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9"},
     {file = "jsonref-1.1.0.tar.gz", hash = "sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552"},
@@ -2757,7 +2679,6 @@ description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce"},
     {file = "jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326"},
@@ -2780,7 +2701,6 @@ description = "The JSON Schema meta-schemas and vocabularies, exposed as a Regis
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"},
     {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"},
@@ -2796,7 +2716,6 @@ description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain-1.2.15-py3-none-any.whl", hash = "sha256:e349db349cb3e9550c4044077cf90a1717691756cc236438404b23500e615874"},
     {file = "langchain-1.2.15.tar.gz", hash = "sha256:1717b6719daefae90b2728314a5e2a117ff916291e2862595b6c3d6fba33d652"},
@@ -2833,7 +2752,6 @@ description = "An integration package to support Azure AI Foundry capabilities i
 optional = false
 python-versions = "<4.0,>=3.10.0"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain_azure_ai-1.2.3-py3-none-any.whl", hash = "sha256:00bb7c3ac2d1717a7cdd6573cf659bb012ece3958f67ec1d30a46170f22280a1"},
     {file = "langchain_azure_ai-1.2.3.tar.gz", hash = "sha256:1a4f6665816bccfb50419422cd1eadcd7adf427aa5e5bc4012dc9429b29e7ed8"},
@@ -2866,7 +2784,6 @@ description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain_classic-1.0.4-py3-none-any.whl", hash = "sha256:b55d0925bc66cf2efa0b65d71c514c42cf9e4df798b9e976c063b3ecea8cf272"},
     {file = "langchain_classic-1.0.4.tar.gz", hash = "sha256:03842b2f9681f0f56978d94c1dc155c9316ce1575db88584316dcd9087823ede"},
@@ -2905,7 +2822,6 @@ description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain_community-0.4.1-py3-none-any.whl", hash = "sha256:2135abb2c7748a35c84613108f7ebf30f8505b18c3c18305ffaecfc7651f6c6a"},
     {file = "langchain_community-0.4.1.tar.gz", hash = "sha256:f3b211832728ee89f169ddce8579b80a085222ddb4f4ed445a46e977d17b1e85"},
@@ -2932,7 +2848,6 @@ description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain_core-1.3.2-py3-none-any.whl", hash = "sha256:d44a66127f9f8db735bdfd0ab9661bccb47a97113cfd3f2d89c74864422b7274"},
     {file = "langchain_core-1.3.2.tar.gz", hash = "sha256:fd7a50b2f28ba561fd9d7f5d2760bc9e06cf00cdf820a3ccafe88a94ffa8d5b7"},
@@ -2956,7 +2871,6 @@ description = "An integration package connecting Mistral and LangChain"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain_mistralai-1.1.2-py3-none-any.whl", hash = "sha256:2c55a7d1df6a090b61d3c3ca0a7894895c87557b8248e6fb1608d61ad9f149ee"},
     {file = "langchain_mistralai-1.1.2.tar.gz", hash = "sha256:3c852b1b2d8a729299f25fba7d5c9cadb9e2128387c2771745e8e8cb412b33cd"},
@@ -2976,7 +2890,6 @@ description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain_openai-1.1.9-py3-none-any.whl", hash = "sha256:ca2482b136c45fb67c0db84a9817de675e0eb8fb2203a33914c1b7a96f273940"},
     {file = "langchain_openai-1.1.9.tar.gz", hash = "sha256:fdee25dcf4b0685d8e2f59856f4d5405431ef9e04ab53afe19e2e8360fed8234"},
@@ -2994,7 +2907,6 @@ description = "Python bindings for the LangChain agent streaming protocol"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain_protocol-0.0.12-py3-none-any.whl", hash = "sha256:402b61f42d4139692528cf37226c367bb6efc8ff8165b29380accb0abfece7b2"},
     {file = "langchain_protocol-0.0.12.tar.gz", hash = "sha256:5e14c434290a705c9510fdb1a83ecf7561a5e6e0dfd053930ade80dba069269f"},
@@ -3010,7 +2922,6 @@ description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langchain_text_splitters-1.1.2-py3-none-any.whl", hash = "sha256:a2de0d799ff31886429fd6e2e0032df275b60ec817c19059a7b46181cc1c2f10"},
     {file = "langchain_text_splitters-1.1.2.tar.gz", hash = "sha256:782a723db0a4746ac91e251c7c1d57fd23636e4f38ed733074e28d7a86f41627"},
@@ -3026,7 +2937,6 @@ description = "Language detection library ported from Google's language-detectio
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langdetect-1.0.9-py2-none-any.whl", hash = "sha256:7cbc0746252f19e76f77c0b1690aadf01963be835ef0cd4b56dddf2a8f1dfc2a"},
     {file = "langdetect-1.0.9.tar.gz", hash = "sha256:cbc1fef89f8d062739774bd51eda3da3274006b3661d199c2655f6b3f6d605a0"},
@@ -3042,7 +2952,6 @@ description = "Building stateful, multi-actor applications with LLMs"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langgraph-1.1.10-py3-none-any.whl", hash = "sha256:8a4f163f72f4401648d0c11b48ee906947d938ba8cf1f474540fe591534f0d17"},
     {file = "langgraph-1.1.10.tar.gz", hash = "sha256:3115beb58203283c98d8752a90c034f3432177d2979a1fe205f76e5f1b744500"},
@@ -3063,7 +2972,6 @@ description = "Library with base interfaces for LangGraph checkpoint savers."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langgraph_checkpoint-2.1.2-py3-none-any.whl", hash = "sha256:911ebffb069fd01775d4b5184c04aaafc2962fcdf50cf49d524cd4367c4d0c60"},
     {file = "langgraph_checkpoint-2.1.2.tar.gz", hash = "sha256:112e9d067a6eff8937caf198421b1ffba8d9207193f14ac6f89930c1260c06f9"},
@@ -3080,7 +2988,6 @@ description = "Library with a Postgres implementation of LangGraph checkpoint sa
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langgraph_checkpoint_postgres-2.0.25-py3-none-any.whl", hash = "sha256:cf1248a58fe828c9cfc36ee57ff118d7799ce214d4b35718e57ec98407130fb5"},
     {file = "langgraph_checkpoint_postgres-2.0.25.tar.gz", hash = "sha256:916b80f73a641a589301f6c54414974768b6d646d82db7b301ff8d47105c3613"},
@@ -3099,7 +3006,6 @@ description = "Library with high-level APIs for creating and executing LangGraph
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langgraph_prebuilt-1.0.12-py3-none-any.whl", hash = "sha256:ab83822d2724d434d3536dc127b86c7d16fe3fb8dc02a89a683bc77b2e55f6e9"},
     {file = "langgraph_prebuilt-1.0.12.tar.gz", hash = "sha256:edcb11ff29996def816243f267fb2c85c0a2e4fb618c275f3d238aee8dd6a5ec"},
@@ -3116,7 +3022,6 @@ description = "SDK for interacting with LangGraph API"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langgraph_sdk-0.3.13-py3-none-any.whl", hash = "sha256:aee09e345c90775f6de9d6f4c7b847cfc652e49055c27a2aed0d981af2af3bd0"},
     {file = "langgraph_sdk-0.3.13.tar.gz", hash = "sha256:419ca5663eec3cec192ad194ac0647c0c826866b446073eb40f384f950986cd5"},
@@ -3133,7 +3038,6 @@ description = "Client library to connect to the LangSmith Observability and Eval
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "langsmith-0.6.7-py3-none-any.whl", hash = "sha256:4bd4372b8bf724b86314f64644562b5598407614e04e74b536c09490d153bd61"},
     {file = "langsmith-0.6.7.tar.gz", hash = "sha256:d89c604a18fc606b7835d8e7924f7cdbe130ca2207bdff8f989590e50d65b802"},
@@ -3165,7 +3069,6 @@ description = "A fast and thorough lazy object proxy."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "lazy_object_proxy-1.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:61d5e3310a4aa5792c2b599a7a78ccf8687292c8eb09cf187cca8f09cf6a7519"},
     {file = "lazy_object_proxy-1.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c1ca33565f698ac1aece152a10f432415d1a2aa9a42dfe23e5ba2bc255ab91f6"},
@@ -3220,7 +3123,6 @@ description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "litellm-1.81.6-py3-none-any.whl", hash = "sha256:573206ba194d49a1691370ba33f781671609ac77c35347f8a0411d852cf6341a"},
     {file = "litellm-1.81.6.tar.gz", hash = "sha256:f02b503dfb7d66d1c939f82e4db21aeec1d6e2ed1fe3f5cd02aaec3f792bc4ae"},
@@ -3257,7 +3159,6 @@ description = "Developer-friendly load testing framework"
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "locust-2.39.1-py3-none-any.whl", hash = "sha256:fd5148f2f1a4ed34aee968abc4393674e69d1b5e1b54db50a397f6eb09ce0b04"},
     {file = "locust-2.39.1.tar.gz", hash = "sha256:6bdd19e27edf9a1c84391d6cf6e9a737dfb832be7dfbf39053191ae31b9cc498"},
@@ -3296,7 +3197,6 @@ description = "Locust Cloud"
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "locust_cloud-1.30.0-py3-none-any.whl", hash = "sha256:2324b690efa1bfc8d1871340276953cf265328bd6333e07a5ba8ff7dc5e99e6c"},
     {file = "locust_cloud-1.30.0.tar.gz", hash = "sha256:324ae23754d49816df96d3f7472357a61cd10e56cebcb26e2def836675cb3c68"},
@@ -3317,7 +3217,6 @@ description = "Powerful and Pythonic XML processing library combining libxml2/li
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e77dd455b9a16bbd2a5036a63ddbd479c19572af81b624e79ef422f929eef388"},
     {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d444858b9f07cefff6455b983aea9a67f7462ba1f6cbe4a21e8bf6791bf2153"},
@@ -3474,7 +3373,6 @@ description = "A super-fast templating language that borrows the best ideas from
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "mako-1.3.10-py3-none-any.whl", hash = "sha256:baef24a52fc4fc514a0887ac600f9f1cff3d82c61d4d700a1fa84d597b88db59"},
     {file = "mako-1.3.10.tar.gz", hash = "sha256:99579a6f39583fa7e5630a28c3c1f440e4e97a414b80372649c0ce338da2ea28"},
@@ -3495,7 +3393,6 @@ description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"},
     {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"},
@@ -3520,7 +3417,6 @@ description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"},
     {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"},
@@ -3620,7 +3516,6 @@ description = "A lightweight library for converting complex datatypes to and fro
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "marshmallow-3.26.2-py3-none-any.whl", hash = "sha256:013fa8a3c4c276c24d26d84ce934dc964e2aa794345a0f8c7e5a7191482c8a73"},
     {file = "marshmallow-3.26.2.tar.gz", hash = "sha256:bbe2adb5a03e6e3571b573f42527c6fe926e17467833660bebd11593ab8dfd57"},
@@ -3641,7 +3536,6 @@ description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -3654,7 +3548,6 @@ description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -3667,7 +3560,6 @@ description = "Python Client SDK for the Mistral AI API."
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "mistralai-2.4.3-py3-none-any.whl", hash = "sha256:06355f6473b1bffbf8cc60e352b873c53f72a4e9298366e5430db07f0ebb5310"},
     {file = "mistralai-2.4.3.tar.gz", hash = "sha256:82d671f29bfb161580ccd3f59eb0cf57c7bbc3c920d1ec436e55f82bf8d0034f"},
@@ -3700,7 +3592,6 @@ description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -3719,7 +3610,6 @@ description = "The Microsoft Authentication Library (MSAL) for Python library en
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "msal-1.34.0-py3-none-any.whl", hash = "sha256:f669b1644e4950115da7a176441b0e13ec2975c29528d8b9e81316023676d6e1"},
     {file = "msal-1.34.0.tar.gz", hash = "sha256:76ba83b716ea5a6d75b0279c0ac353a0e05b820ca1f6682c0eb7f45190c43c2f"},
@@ -3740,7 +3630,6 @@ description = "Microsoft Authentication Library extensions (MSAL EX) provides a
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "msal_extensions-1.3.1-py3-none-any.whl", hash = "sha256:96d3de4d034504e969ac5e85bae8106c8373b5c6568e4c8fa7af2eca9dbe6bca"},
     {file = "msal_extensions-1.3.1.tar.gz", hash = "sha256:c5b0fd10f65ef62b5f1d62f4251d51cbcaf003fcedae8c91b040a488614be1a4"},
@@ -3759,7 +3648,6 @@ description = "MessagePack serializer"
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "msgpack-1.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0051fffef5a37ca2cd16978ae4f0aef92f164df86823871b5162812bebecd8e2"},
     {file = "msgpack-1.1.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a605409040f2da88676e9c9e5853b3449ba8011973616189ea5ee55ddbc5bc87"},
@@ -3832,7 +3720,6 @@ description = "multidict implementation"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "multidict-6.7.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c93c3db7ea657dd4637d57e74ab73de31bccefe144d3d4ce370052035bc85fb5"},
     {file = "multidict-6.7.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:974e72a2474600827abaeda71af0c53d9ebbc3c2eb7da37b37d7829ae31232d8"},
@@ -3992,7 +3879,6 @@ description = "better multiprocessing and multithreading in Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "multiprocess-0.70.18-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:25d4012dcaaf66b9e8e955f58482b42910c2ee526d532844d8bcf661bbc604df"},
     {file = "multiprocess-0.70.18-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:06b19433de0d02afe5869aec8931dd5c01d99074664f806c73896b0d9e527213"},
@@ -4025,7 +3911,6 @@ description = "Type system extensions for programs checked with the mypy type ch
 optional = false
 python-versions = ">=3.8"
 groups = ["dev", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -4038,7 +3923,6 @@ description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -4051,7 +3935,7 @@ description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
     {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
@@ -4072,7 +3956,7 @@ description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = "!=3.14.1,>=3.11"
 groups = ["main", "metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762"},
     {file = "networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509"},
@@ -4096,7 +3980,6 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -4143,7 +4026,6 @@ description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "openai-2.16.0-py3-none-any.whl", hash = "sha256:5f46643a8f42899a84e80c38838135d7038e7718333ce61396994f887b09a59b"},
     {file = "openai-2.16.0.tar.gz", hash = "sha256:42eaa22ca0d8ded4367a77374104d7a2feafee5bd60a107c3c11b5243a11cd12"},
@@ -4172,7 +4054,6 @@ description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "opentelemetry_api-1.39.1-py3-none-any.whl", hash = "sha256:2edd8463432a7f8443edce90972169b195e7d6a05500cd29e6d13898187c9950"},
     {file = "opentelemetry_api-1.39.1.tar.gz", hash = "sha256:fbde8c80e1b937a2c61f20347e91c0c18a1940cecf012d62e65a7caf08967c9c"},
@@ -4189,7 +4070,6 @@ description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "opentelemetry_semantic_conventions-0.60b1-py3-none-any.whl", hash = "sha256:9fa8c8b0c110da289809292b0591220d3a7b53c1526a23021e977d68597893fb"},
     {file = "opentelemetry_semantic_conventions-0.60b1.tar.gz", hash = "sha256:87c228b5a0669b748c76d76df6c364c369c28f1c465e50f661e39737e84bc953"},
@@ -4206,7 +4086,6 @@ description = "Fast, correct Python JSON library supporting dataclasses, datetim
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "orjson-3.11.6-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a613fc37e007143d5b6286dccb1394cd114b07832417006a02b620ddd8279e37"},
     {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46ebee78f709d3ba7a65384cfe285bb0763157c6d2f836e7bde2f12d33a867a2"},
@@ -4291,7 +4170,6 @@ description = "Fast, correct Python msgpack library supporting dataclasses, date
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "ormsgpack-1.12.2-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:c1429217f8f4d7fcb053523bbbac6bed5e981af0b85ba616e6df7cce53c19657"},
     {file = "ormsgpack-1.12.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f13034dc6c84a6280c6c33db7ac420253852ea233fc3ee27c8875f8dd651163"},
@@ -4351,7 +4229,6 @@ description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -4364,7 +4241,7 @@ description = "Powerful data structures for data analysis, time series, and stat
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c"},
     {file = "pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a"},
@@ -4461,7 +4338,7 @@ description = "Powerful data structures for data analysis, time series, and stat
 optional = false
 python-versions = ">=3.11"
 groups = ["metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "pandas-3.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d64ce01eb9cdca96a15266aa679ae50212ec52757c79204dbc7701a222401850"},
     {file = "pandas-3.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:613e13426069793aa1ec53bdcc3b86e8d32071daea138bbcf4fa959c9cdaa2e2"},
@@ -4551,7 +4428,6 @@ description = "Utility library for gitignore style pattern matching of file path
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pathspec-1.0.4-py3-none-any.whl", hash = "sha256:fb6ae2fd4e7c921a165808a552060e722767cfa526f99ca5156ed2ce45a5c723"},
     {file = "pathspec-1.0.4.tar.gz", hash = "sha256:0210e2ae8a21a9137c0d470578cb0e595af87edaa6ebf12ff176f14a02e0e645"},
@@ -4570,7 +4446,6 @@ description = "Python Imaging Library (fork)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pillow-12.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:fb125d860738a09d363a88daa0f59c4533529a90e564785e20fe875b200b6dbd"},
     {file = "pillow-12.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cad302dc10fac357d3467a74a9561c90609768a6f73a1923b0fd851b6486f8b0"},
@@ -4680,7 +4555,6 @@ description = "A small Python package for determining appropriate platform-speci
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "dev", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "platformdirs-4.5.1-py3-none-any.whl", hash = "sha256:d03afa3963c806a9bed9d5125c8f4cb2fdaf74a55ab60e5d59b3fde758104d31"},
     {file = "platformdirs-4.5.1.tar.gz", hash = "sha256:61d5cdcc6065745cdd94f0f878977f8de9437be93de97c1c12f853c9c0cdcbda"},
@@ -4698,7 +4572,6 @@ description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"},
     {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"},
@@ -4715,7 +4588,6 @@ description = "Wraps the portalocker recipe for easy usage"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "portalocker-3.2.0-py3-none-any.whl", hash = "sha256:3cdc5f565312224bc570c49337bd21428bba0ef363bbcf58b9ef4a9f11779968"},
     {file = "portalocker-3.2.0.tar.gz", hash = "sha256:1f3002956a54a8c3730586c5c77bf18fae4149e07eaf1c29fc3faf4d5a3f89ac"},
@@ -4736,7 +4608,6 @@ description = "A simple Python library for easily displaying tabular data in a v
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "prettytable-3.17.0-py3-none-any.whl", hash = "sha256:aad69b294ddbe3e1f95ef8886a060ed1666a0b83018bbf56295f6f226c43d287"},
     {file = "prettytable-3.17.0.tar.gz", hash = "sha256:59f2590776527f3c9e8cf9fe7b66dd215837cca96a9c39567414cbc632e8ddb0"},
@@ -4755,7 +4626,6 @@ description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "propcache-0.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c2d1fa3201efaf55d730400d945b5b3ab6e672e100ba0f9a409d950ab25d7db"},
     {file = "propcache-0.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1eb2994229cc8ce7fe9b3db88f5465f5fd8651672840b2e426b88cdb1a30aac8"},
@@ -4888,7 +4758,6 @@ description = ""
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "protobuf-5.29.5-cp310-abi3-win32.whl", hash = "sha256:3f1c6468a2cfd102ff4703976138844f78ebd1fb45f49011afc5139e9e283079"},
     {file = "protobuf-5.29.5-cp310-abi3-win_amd64.whl", hash = "sha256:3f76e3a3675b4a4d867b52e4a5f5b78a2ef9565549d4037e06cf7b0942b1d3fc"},
@@ -4910,7 +4779,6 @@ description = "Cross-platform lib for process and system monitoring."
 optional = false
 python-versions = ">=3.6"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "psutil-7.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2edccc433cbfa046b980b0df0171cd25bcaeb3a68fe9022db0979e7aa74a826b"},
     {file = "psutil-7.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78c8603dcd9a04c7364f1a3e670cea95d51ee865e4efb3556a3a63adef958ea"},
@@ -4946,7 +4814,6 @@ description = "PostgreSQL database adapter for Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "psycopg-3.3.2-py3-none-any.whl", hash = "sha256:3e94bc5f4690247d734599af56e51bae8e0db8e4311ea413f801fef82b14a99b"},
     {file = "psycopg-3.3.2.tar.gz", hash = "sha256:707a67975ee214d200511177a6a80e56e654754c9afca06a7194ea6bbfde9ca7"},
@@ -4972,7 +4839,7 @@ description = "PostgreSQL database adapter for Python -- C optimisation distribu
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and implementation_name != \"pypy\""
+markers = "implementation_name != \"pypy\""
 files = [
     {file = "psycopg_binary-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0768c5f32934bb52a5df098317eca9bdcf411de627c5dca2ee57662b64b54b41"},
     {file = "psycopg_binary-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:09b3014013f05cd89828640d3a1db5f829cc24ad8fa81b6e42b2c04685a0c9d4"},
@@ -5038,7 +4905,6 @@ description = "Connection Pool for Psycopg"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "psycopg_pool-3.3.0-py3-none-any.whl", hash = "sha256:2e44329155c410b5e8666372db44276a8b1ebd8c90f1c3026ebba40d4bc81063"},
     {file = "psycopg_pool-3.3.0.tar.gz", hash = "sha256:fa115eb2860bd88fce1717d75611f41490dec6135efb619611142b24da3f6db5"},
@@ -5057,7 +4923,6 @@ description = "psycopg2 - Python-PostgreSQL Database Adapter"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "psycopg2-binary-2.9.11.tar.gz", hash = "sha256:b6aed9e096bf63f9e75edf2581aa9a7e7186d97ab5c177aa6c87797cd591236c"},
     {file = "psycopg2_binary-2.9.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d6fe6b47d0b42ce1c9f1fa3e35bb365011ca22e39db37074458f27921dca40f2"},
@@ -5135,7 +5000,6 @@ description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pyarrow-23.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cbdc2bf5947aa4d462adcf8453cf04aee2f7932653cb67a27acd96e5e8528a67"},
     {file = "pyarrow-23.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:4d38c836930ce15cd31dce20114b21ba082da231c884bdc0a7b53e1477fe7f07"},
@@ -5196,7 +5060,6 @@ description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -5213,7 +5076,7 @@ files = [
     {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"},
     {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"},
 ]
-markers = {main = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\"", metrics = "sys_platform == \"win32\" and platform_python_implementation == \"CPython\" and implementation_name != \"PyPy\" or implementation_name == \"pypy\""}
+markers = {main = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\"", metrics = "platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and implementation_name != \"PyPy\" or implementation_name == \"pypy\""}
 
 [[package]]
 name = "pydantic"
@@ -5222,7 +5085,6 @@ description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pydantic-2.12.5-py3-none-any.whl", hash = "sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d"},
     {file = "pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49"},
@@ -5245,7 +5107,6 @@ description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pydantic_core-2.41.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77b63866ca88d804225eaa4af3e664c5faf3568cea95360d21f4725ab6e07146"},
     {file = "pydantic_core-2.41.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dfa8a0c812ac681395907e71e1274819dec685fec28273a28905df579ef137e2"},
@@ -5380,7 +5241,6 @@ description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pydantic_settings-2.12.0-py3-none-any.whl", hash = "sha256:fddb9fd99a5b18da837b29710391e945b1e30c135477f484084ee513adb93809"},
     {file = "pydantic_settings-2.12.0.tar.gz", hash = "sha256:005538ef951e3c2a68e1c08b292b5f2e71490def8589d4221b95dab00dafcfd0"},
@@ -5405,7 +5265,6 @@ description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pyflakes-3.1.0-py2.py3-none-any.whl", hash = "sha256:4132f6d49cb4dae6819e5379898f2b8cce3c5f23994194c24b77d5da2e36f774"},
     {file = "pyflakes-3.1.0.tar.gz", hash = "sha256:a0aae034c444db0071aa077972ba4768d40c830d9539fd45bf4cd3f8f6992efc"},
@@ -5418,7 +5277,6 @@ description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"},
     {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"},
@@ -5434,7 +5292,6 @@ description = "JSON Web Token implementation in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pyjwt-2.11.0-py3-none-any.whl", hash = "sha256:94a6bde30eb5c8e04fee991062b534071fd1439ef58d2adc9ccb823e7bcd0469"},
     {file = "pyjwt-2.11.0.tar.gz", hash = "sha256:35f95c1f0fbe5d5ba6e43f00271c275f7a1a4db1dab27bf708073b75318ea623"},
@@ -5456,7 +5313,6 @@ description = "python code static checker"
 optional = false
 python-versions = ">=3.7.2"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pylint-2.17.7-py3-none-any.whl", hash = "sha256:27a8d4c7ddc8c2f8c18aa0050148f89ffc09838142193fdbe98f172781a3ff87"},
     {file = "pylint-2.17.7.tar.gz", hash = "sha256:f4fcac7ae74cfe36bc8451e931d8438e4a476c20314b1101c458ad0f05191fad"},
@@ -5486,7 +5342,6 @@ description = "Utilities and helpers for writing Pylint plugins"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pylint_plugin_utils-0.9.0-py3-none-any.whl", hash = "sha256:16e9b84e5326ba893a319a0323fcc8b4bcc9c71fc654fcabba0605596c673818"},
     {file = "pylint_plugin_utils-0.9.0.tar.gz", hash = "sha256:5468d763878a18d5cc4db46eaffdda14313b043c962a263a7d78151b90132055"},
@@ -5502,7 +5357,6 @@ description = "A Pylint plugin to help Pylint understand the Pydantic"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pylint_pydantic-0.2.4-py3-none-any.whl", hash = "sha256:452b32992f47e303b432f8940d4077f1d60e8d3325351b8998d846431699111a"},
 ]
@@ -5519,7 +5373,6 @@ description = "A pure-python PDF library capable of splitting, merging, cropping
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pypdf-6.6.2-py3-none-any.whl", hash = "sha256:44c0c9811cfb3b83b28f1c3d054531d5b8b81abaedee0d8cb403650d023832ba"},
     {file = "pypdf-6.6.2.tar.gz", hash = "sha256:0a3ea3b3303982333404e22d8f75d7b3144f9cf4b2970b96856391a516f9f016"},
@@ -5543,7 +5396,6 @@ description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -5567,7 +5419,6 @@ description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.7"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -5587,7 +5438,6 @@ description = "pytest plugin that allows you to add environment variables."
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -5607,7 +5457,6 @@ description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -5623,7 +5472,6 @@ description = "Create, read, and update Microsoft Word .docx files."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "python_docx-1.2.0-py3-none-any.whl", hash = "sha256:3fd478f3250fbbbfd3b94fe1e985955737c145627498896a8a6bf81f4baf66c7"},
     {file = "python_docx-1.2.0.tar.gz", hash = "sha256:7bc9d7b7d8a69c9c02ca09216118c86552704edc23bac179283f2e38f86220ce"},
@@ -5640,7 +5488,6 @@ description = "Read key-value pairs from a .env file and set them as environment
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "python_dotenv-1.2.2-py3-none-any.whl", hash = "sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a"},
     {file = "python_dotenv-1.2.2.tar.gz", hash = "sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3"},
@@ -5656,7 +5503,6 @@ description = "Engine.IO server and client for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "python_engineio-4.13.0-py3-none-any.whl", hash = "sha256:57b94eac094fa07b050c6da59f48b12250ab1cd920765f4849963e3d89ad9de3"},
     {file = "python_engineio-4.13.0.tar.gz", hash = "sha256:f9c51a8754d2742ba832c24b46ed425fdd3064356914edd5a1e8ffde76ab7709"},
@@ -5678,7 +5524,6 @@ description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "python_multipart-0.0.22-py3-none-any.whl", hash = "sha256:2b2cd894c83d21bf49d702499531c7bafd057d730c201782048f7945d82de155"},
     {file = "python_multipart-0.0.22.tar.gz", hash = "sha256:7340bef99a7e0032613f56dc36027b959fd3b30a787ed62d310e951f7c3a3a58"},
@@ -5691,7 +5536,6 @@ description = "Socket.IO server and client for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "python_socketio-5.16.0-py3-none-any.whl", hash = "sha256:d95802961e15c7bd54ecf884c6e7644f81be8460f0a02ee66b473df58088ee8a"},
     {file = "python_socketio-5.16.0.tar.gz", hash = "sha256:f79403c7f1ba8b84460aa8fe4c671414c8145b21a501b46b676f3740286356fd"},
@@ -5716,7 +5560,7 @@ description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 groups = ["metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -5751,7 +5595,7 @@ files = [
     {file = "pywin32-311-cp39-cp39-win_amd64.whl", hash = "sha256:e0c4cfb0621281fe40387df582097fd796e80430597cb9944f0ae70447bacd91"},
     {file = "pywin32-311-cp39-cp39-win_arm64.whl", hash = "sha256:62ea666235135fee79bb154e695f3ff67370afefd71bd7fea7512fc70ef31e3d"},
 ]
-markers = {main = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_system == \"Windows\"", metrics = "sys_platform == \"win32\""}
+markers = {main = "platform_system == \"Windows\"", metrics = "sys_platform == \"win32\""}
 
 [[package]]
 name = "pyyaml"
@@ -5760,7 +5604,6 @@ description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"},
     {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"},
@@ -5844,7 +5687,6 @@ description = "Python bindings for 0MQ"
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4"},
     {file = "pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556"},
@@ -5945,15 +5787,14 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qdrant-client"
-version = "1.16.2"
+version = "1.18.0"
 description = "Client library for the Qdrant vector search engine"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
-    {file = "qdrant_client-1.16.2-py3-none-any.whl", hash = "sha256:442c7ef32ae0f005e88b5d3c0783c63d4912b97ae756eb5e052523be682f17d3"},
-    {file = "qdrant_client-1.16.2.tar.gz", hash = "sha256:ca4ef5f9be7b5eadeec89a085d96d5c723585a391eb8b2be8192919ab63185f0"},
+    {file = "qdrant_client-1.18.0-py3-none-any.whl", hash = "sha256:093aa8cf8a420ee3ad2a68b007e1378d7992b2600e0b53c193fc172674f659cd"},
+    {file = "qdrant_client-1.18.0.tar.gz", hash = "sha256:52e8ece1a7d40519801bf0b70713bfa0f6b7ae28c7275bbe0b0286fbed7f6db4"},
 ]
 
 [package.dependencies]
@@ -5970,8 +5811,8 @@ pydantic = ">=1.10.8,<2.0.dev0 || >2.2.0"
 urllib3 = ">=1.26.14,<3"
 
 [package.extras]
-fastembed = ["fastembed (>=0.7,<0.8)"]
-fastembed-gpu = ["fastembed-gpu (>=0.7,<0.8)"]
+fastembed = ["fastembed (>=0.8,<0.9)"]
+fastembed-gpu = ["fastembed-gpu (>=0.8,<0.9)"]
 
 [[package]]
 name = "ragas"
@@ -5980,7 +5821,6 @@ description = "Evaluation framework for RAG and LLM applications"
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "ragas-0.4.3-py3-none-any.whl", hash = "sha256:ef1d75f674c294e9a6e7d8e9ad261b6bf4697dad1c9cbd1a756ba7a6b4849a38"},
     {file = "ragas-0.4.3.tar.gz", hash = "sha256:1eb1f61dbc8613ad014fdb8d630cbe9a1caec1ea01664a106993cb756128c001"},
@@ -6026,7 +5866,6 @@ description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231"},
     {file = "referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8"},
@@ -6044,7 +5883,6 @@ description = "Python library for post-extraction refinement of text that may be
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "refinedoc-1.0.1-py3-none-any.whl", hash = "sha256:a2840fefb110b33d84474ef3b5e3b3813a55fb7c8e42a70615f51acb1b3885c7"},
     {file = "refinedoc-1.0.1.tar.gz", hash = "sha256:afad515bcbd13e9e7ba40d149d6b2a8a04c88323bc31eef2eddf3e3bbd6e921b"},
@@ -6057,7 +5895,6 @@ description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4e3dd93c8f9abe8aa4b6c652016da9a3afa190df5ad822907efe6b206c09896e"},
     {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97499ff7862e868b1977107873dd1a06e151467129159a6ffd07b66706ba3a9f"},
@@ -6199,7 +6036,6 @@ description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"},
     {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"},
@@ -6222,7 +6058,6 @@ 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 = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -6238,7 +6073,6 @@ description = "Render rich text, tables, progress bars, syntax highlighting, mar
 optional = false
 python-versions = ">=3.8.0"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "rich-14.3.2-py3-none-any.whl", hash = "sha256:08e67c3e90884651da3239ea668222d19bea7b589149d8014a21c633420dbb69"},
     {file = "rich-14.3.2.tar.gz", hash = "sha256:e712f11c1a562a11843306f5ed999475f09ac31ffb64281f73ab29ffdda8b3b8"},
@@ -6258,7 +6092,6 @@ description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288"},
     {file = "rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00"},
@@ -6384,7 +6217,6 @@ description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "safetensors-0.7.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c82f4d474cf725255d9e6acf17252991c3c8aac038d6ef363a4bf8be2f6db517"},
     {file = "safetensors-0.7.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:94fd4858284736bb67a897a41608b5b0c2496c9bdb3bf2af1fa3409127f20d57"},
@@ -6432,7 +6264,6 @@ description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "scikit_learn-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b33579c10a3081d076ab403df4a4190da4f4432d443521674637677dc91e61f"},
     {file = "scikit_learn-1.7.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:36749fb62b3d961b1ce4fedf08fa57a1986cd409eff2d783bca5d4b9b5fce51c"},
@@ -6489,7 +6320,6 @@ description = "Graph algorithms"
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "scikit_network-0.33.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bfcb4b945286154800eb61998fae85675d9a05ee78e776a82e7d222bf978e171"},
     {file = "scikit_network-0.33.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:854d33b2056dff4fca1b956b46955f3d668148ba63c5cc51a5c497e7ee765def"},
@@ -6528,7 +6358,7 @@ description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"},
     {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"},
@@ -6593,7 +6423,7 @@ description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.11"
 groups = ["main", "metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "scipy-1.17.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:2abd71643797bd8a106dff97894ff7869eeeb0af0f7a5ce02e4227c6a2e9d6fd"},
     {file = "scipy-1.17.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:ef28d815f4d2686503e5f4f00edc387ae58dfd7a2f42e348bb53359538f01558"},
@@ -6673,7 +6503,6 @@ description = "Easily download, build, install, upgrade, and uninstall Python pa
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "setuptools-80.10.2-py3-none-any.whl", hash = "sha256:95b30ddfb717250edb492926c92b5221f7ef3fbcc2b07579bcd4a27da21d0173"},
     {file = "setuptools-80.10.2.tar.gz", hash = "sha256:8b0e9d10c784bf7d262c4e5ec5d4ec94127ce206e8738f29a437945fbc219b70"},
@@ -6695,7 +6524,6 @@ description = "Tool to Detect Surrounding Shell"
 optional = false
 python-versions = ">=3.7"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -6708,7 +6536,6 @@ description = "Simple WebSocket server and client for Python"
 optional = false
 python-versions = ">=3.6"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -6728,7 +6555,6 @@ description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -6741,7 +6567,6 @@ description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -6754,7 +6579,6 @@ description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "soupsieve-2.8.3-py3-none-any.whl", hash = "sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95"},
     {file = "soupsieve-2.8.3.tar.gz", hash = "sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349"},
@@ -6767,7 +6591,6 @@ description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "sqlalchemy-2.0.46-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:895296687ad06dc9b11a024cf68e8d9d3943aa0b4964278d2553b86f1b267735"},
     {file = "sqlalchemy-2.0.46-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ab65cb2885a9f80f979b85aa4e9c9165a31381ca322cbde7c638fe6eefd1ec39"},
@@ -6866,7 +6689,6 @@ description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "starlette-0.46.2-py3-none-any.whl", hash = "sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35"},
     {file = "starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5"},
@@ -6885,7 +6707,6 @@ description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"},
     {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"},
@@ -6904,7 +6725,6 @@ description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"},
     {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"},
@@ -6921,7 +6741,6 @@ description = "threadpoolctl"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
     {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
@@ -6934,7 +6753,6 @@ description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "tiktoken-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3de02f5a491cfd179aec916eddb70331814bd6bf764075d39e21d5862e533970"},
     {file = "tiktoken-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6cfb6d9b7b54d20af21a912bfe63a2727d9cfa8fbda642fd8322c70340aad16"},
@@ -7009,7 +6827,6 @@ description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "tokenizers-0.21.4-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:2ccc10a7c3bcefe0f242867dc914fc1226ee44321eb618cfe3019b5df3400133"},
     {file = "tokenizers-0.21.4-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:5e2f601a8e0cd5be5cc7506b20a79112370b9b3e9cb5f13f68ab11acd6ca7d60"},
@@ -7043,7 +6860,7 @@ description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev", "metrics"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867"},
     {file = "tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9"},
@@ -7101,7 +6918,6 @@ description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "tomlkit-0.14.0-py3-none-any.whl", hash = "sha256:592064ed85b40fa213469f81ac584f67a4f2992509a7c3ea2d632208623a3680"},
     {file = "tomlkit-0.14.0.tar.gz", hash = "sha256:cf00efca415dbd57575befb1f6634c4f42d2d87dbba376128adb42c121b87064"},
@@ -7114,7 +6930,6 @@ description = "Tensors and Dynamic neural networks in Python with strong GPU acc
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -7152,7 +6967,6 @@ description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -7186,7 +7000,6 @@ description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"},
     {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"},
@@ -7209,7 +7022,6 @@ description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
 optional = false
 python-versions = ">=3.9.0"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "transformers-4.50.3-py3-none-any.whl", hash = "sha256:6111610a43dec24ef32c3df0632c6b25b07d9711c01d9e1077bdd2ff6b14a38c"},
     {file = "transformers-4.50.3.tar.gz", hash = "sha256:1d795d24925e615a8e63687d077e4f7348c2702eb87032286eaa76d83cdc684f"},
@@ -7282,7 +7094,6 @@ description = "Typer, build great CLIs. Easy to code. Based on Python type hints
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "typer-0.21.1-py3-none-any.whl", hash = "sha256:7985e89081c636b88d172c2ee0cfe33c253160994d47bdfdc302defd7d1f1d01"},
     {file = "typer-0.21.1.tar.gz", hash = "sha256:ea835607cd752343b6b2b7ce676893e5a0324082268b48f27aa058bdb7d2145d"},
@@ -7305,7 +7116,7 @@ files = [
     {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"},
     {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},
 ]
-markers = {main = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"", dev = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version == \"3.10\"", metrics = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""}
+markers = {dev = "python_version == \"3.10\""}
 
 [[package]]
 name = "typing-inspect"
@@ -7314,7 +7125,6 @@ description = "Runtime inspection utilities for typing module."
 optional = false
 python-versions = "*"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 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"},
@@ -7331,7 +7141,6 @@ description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"},
     {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"},
@@ -7351,7 +7160,7 @@ files = [
     {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
     {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},
 ]
-markers = {main = "sys_platform == \"win32\"", metrics = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\" and python_version == \"3.10\""}
+markers = {main = "sys_platform == \"win32\"", metrics = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or python_version == \"3.10\""}
 
 [[package]]
 name = "urllib3"
@@ -7360,7 +7169,6 @@ description = "HTTP library with thread-safe connection pooling, file post, and
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"},
     {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"},
@@ -7379,7 +7187,6 @@ description = "Fast, drop-in replacement for Python's uuid module, powered by Ru
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "uuid_utils-0.14.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:f6695c0bed8b18a904321e115afe73b34444bc8451d0ce3244a1ec3b84deb0e5"},
     {file = "uuid_utils-0.14.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:4f0a730bbf2d8bb2c11b93e1005e91769f2f533fa1125ed1f00fd15b6fcc732b"},
@@ -7412,7 +7219,6 @@ description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
     {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
@@ -7440,7 +7246,7 @@ description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.1"
 groups = ["main"]
-markers = "platform_python_implementation != \"PyPy\" and sys_platform != \"win32\" and sys_platform != \"cygwin\""
+markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "uvloop-0.22.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c"},
     {file = "uvloop-0.22.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7cd375a12b71d33d46af85a3343b35d98e8116134ba404bd657b3b1d15988792"},
@@ -7505,7 +7311,6 @@ description = "Simple, modern and high performance file watching and code reload
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "watchfiles-1.1.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:eef58232d32daf2ac67f42dea51a2c80f0d03379075d44a587051e63cc2e368c"},
     {file = "watchfiles-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43"},
@@ -7628,7 +7433,6 @@ description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = ">=3.8"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "wcwidth-0.5.3-py3-none-any.whl", hash = "sha256:d584eff31cd4753e1e5ff6c12e1edfdb324c995713f75d26c29807bb84bf649e"},
     {file = "wcwidth-0.5.3.tar.gz", hash = "sha256:53123b7af053c74e9fe2e92ac810301f6139e64379031f7124574212fb3b4091"},
@@ -7641,7 +7445,6 @@ description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef"},
     {file = "websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98"},
@@ -7659,7 +7462,6 @@ description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "websockets-16.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:04cdd5d2d1dacbad0a7bf36ccbcd3ccd5a30ee188f2560b7a62a30d14107b31a"},
     {file = "websockets-16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ff32bb86522a9e5e31439a58addbb0166f0204d64066fb955265c4e214160f0"},
@@ -7731,7 +7533,6 @@ description = "All stuff related to relationnal database from the WeLearn projec
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "welearn_database-1.4.5-py3-none-any.whl", hash = "sha256:fbfcd91fef39d1854cfe75609c663cbaeb4ff2add835fbd3daaafb660261a943"},
     {file = "welearn_database-1.4.5.tar.gz", hash = "sha256:01ce9953e4c1c04c506e66203643ad98aaf764460498c588e3e996d5cb6fb3fc"},
@@ -7750,7 +7551,6 @@ description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.9"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "werkzeug-3.1.5-py3-none-any.whl", hash = "sha256:5111e36e91086ece91f93268bb39b4a35c1e6f1feac762c9c822ded0a4e322dc"},
     {file = "werkzeug-3.1.5.tar.gz", hash = "sha256:6a548b0e88955dd07ccb25539d7d0cc97417ee9e179677d22c7041c8f078ce67"},
@@ -7769,7 +7569,6 @@ description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "wrapt-1.17.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88bbae4d40d5a46142e70d58bf664a89b6b4befaea7b2ecc14e03cedb8e06c04"},
     {file = "wrapt-1.17.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6b13af258d6a9ad602d57d889f83b9d5543acd471eee12eb51f5b01f8eb1bc2"},
@@ -7861,7 +7660,6 @@ description = "Pure-Python WebSocket protocol implementation"
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "wsproto-1.3.2-py3-none-any.whl", hash = "sha256:61eea322cdf56e8cc904bd3ad7573359a242ba65688716b0710a5eb12beab584"},
     {file = "wsproto-1.3.2.tar.gz", hash = "sha256:b86885dcf294e15204919950f666e06ffc6c7c114ca900b060d6e16293528294"},
@@ -7877,7 +7675,6 @@ description = "Python binding for xxHash"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"},
     {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"},
@@ -8028,7 +7825,6 @@ description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"},
     {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"},
@@ -8174,7 +7970,6 @@ description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
     {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
@@ -8195,7 +7990,6 @@ description = "Very basic event publishing system"
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "zope_event-6.1-py3-none-any.whl", hash = "sha256:0ca78b6391b694272b23ec1335c0294cc471065ed10f7f606858fc54566c25a0"},
     {file = "zope_event-6.1.tar.gz", hash = "sha256:6052a3e0cb8565d3d4ef1a3a7809336ac519bc4fe38398cb8d466db09adef4f0"},
@@ -8212,7 +8006,6 @@ description = "Interfaces for Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "zope_interface-8.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:788c293f3165964ec6527b2d861072c68eef53425213f36d3893ebee89a89623"},
     {file = "zope_interface-8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9a4e785097e741a1c953b3970ce28f2823bd63c00adc5d276f2981dd66c96c15"},
@@ -8259,7 +8052,6 @@ description = "Zstandard bindings for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "metrics"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "zstandard-0.25.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e59fdc271772f6686e01e1b3b74537259800f57e24280be3f29c8a0deb1904dd"},
     {file = "zstandard-0.25.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4d441506e9b372386a5271c64125f72d5df6d2a8e8a2a45a0ae09b03cb781ef7"},
diff --git a/pyproject.toml b/pyproject.toml
index 5c80230..8cc4224 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -39,6 +39,7 @@ langgraph-checkpoint-postgres = "^2.0.23"
 azure-ai-inference = "^1.0.0b9"
 azure-identity = "^1.25.0"
 psycopg = {extras = ["binary"], version = "^3.2.10"}
+welearn-database = "^1.4.5"
 bs4 = "^0.0.2"
 urllib3 = "^2.6.3"
 refinedoc = "^1.0.1"
@@ -50,7 +51,6 @@ langchain-mistralai = "^1.1.2"
 langchain-azure-ai = "^1.2.3"
 langgraph = "^1.1.10"
 mistralai = "^2.4.3"
-welearn-database = "^1.4.5"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.0"
diff --git a/src/app/api/api_v1/endpoints/chat.py b/src/app/api/api_v1/endpoints/chat.py
index 00a6dad..e8b3198 100644
--- a/src/app/api/api_v1/endpoints/chat.py
+++ b/src/app/api/api_v1/endpoints/chat.py
@@ -1,15 +1,17 @@
+import json
 import uuid
-from typing import Dict, Optional, cast
+from typing import Any, AsyncGenerator, Dict, Optional, cast
 from uuid import UUID
 
 import backoff
 import psycopg
 from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Request, status
+from fastapi.encoders import jsonable_encoder
 from fastapi.responses import StreamingResponse
 from langchain_core.messages import ToolMessage
 from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
 from openai import RateLimitError
-from psycopg.rows import dict_row
+from psycopg.rows import DictRow, dict_row
 from pydantic import BaseModel
 
 from src.app.models import chat as models
@@ -42,6 +44,32 @@
     database=settings.PG_DATABASE,
 )
 
+# psycopg exposes dict_row with a BaseCursor annotation, while AsyncConnection.connect
+# expects an async row factory type. Runtime is valid; cast keeps static typing happy.
+ASYNC_DICT_ROW_FACTORY = cast(Any, dict_row)
+
+SSE_HEADERS = {
+    "Cache-Control": "no-cache",
+    "Connection": "keep-alive",
+    "X-Accel-Buffering": "no",
+}
+
+
+def _format_sse_event(data: str) -> str:
+    lines = data.splitlines() or [""]
+    return "".join(f"data: {line}\n" for line in lines) + "\n"
+
+
+async def _sse_wrap(stream: Any) -> AsyncGenerator[str, None]:
+    async for chunk in stream:
+        if isinstance(chunk, str):
+            data = chunk
+        elif isinstance(chunk, bytes):
+            data = chunk.decode("utf-8", errors="replace")
+        else:
+            data = json.dumps(jsonable_encoder(chunk))
+        yield _format_sse_event(data)
+
 
 def get_params(body: models.Context) -> models.ContextOut:
     body.sources = body.sources[:7]
@@ -55,6 +83,7 @@ def get_params(body: models.Context) -> models.ContextOut:
         history=body.history or [],
         query=body.query,
         subject=body.subject,
+        conversation_id=None,
     )
 
 
@@ -221,8 +250,9 @@ async def q_and_a_rephrase_stream(
         )
 
     return StreamingResponse(
-        content=content,
+        content=_sse_wrap(content),
         media_type="text/event-stream",
+        headers=SSE_HEADERS,
     )
 
 
@@ -316,8 +346,9 @@ async def q_and_a_stream(
         )
 
         return StreamingResponse(
-            content=content,
+            content=_sse_wrap(content),
             media_type="text/event-stream",
+            headers=SSE_HEADERS,
         )
     except LanguageNotSupportedError as e:
         bad_request(message=e.message, msg_code=e.msg_code)
@@ -338,8 +369,11 @@ async def get_chat_history(
     chatfactory=Depends(get_chat_service),
 ) -> list[Dict[str, str | list[Dict[str, str]] | None]]:
     if thread_id:
-        async with await psycopg.AsyncConnection.connect(
-            DB_URI, autocommit=True, prepare_threshold=0, row_factory=dict_row
+        async with await psycopg.AsyncConnection[DictRow].connect(
+            DB_URI,
+            autocommit=True,
+            prepare_threshold=0,
+            row_factory=ASYNC_DICT_ROW_FACTORY,
         ) as conn:
             await conn.execute("SET SEARCH_PATH to agent_related")
             await conn.commit()
@@ -351,6 +385,219 @@ async def get_chat_history(
             return res
 
 
+def _resolve_thread_id(thread_id: UUID | None) -> UUID:
+    if thread_id:
+        return thread_id
+
+    logger.info("No thread_id provided. Generating new thread_id.")
+    return uuid.uuid4()
+
+
+def _update_agent_stream_state(
+    chunk: dict[str, Any],
+    current_final_content: str,
+    current_docs: Any,
+) -> tuple[str, Any]:
+    status = chunk.get("status")
+    docs = current_docs
+    final_content = current_final_content
+
+    if status == "processing" and chunk.get("docs"):
+        docs = chunk["docs"]
+    elif status == "streaming":
+        final_content += cast(str, chunk.get("content", ""))
+    elif status == "stop":
+        stop_content = cast(str, chunk.get("content", ""))
+        if stop_content:
+            final_content = stop_content
+
+    return final_content, docs
+
+
+def _serialize_agent_stream_chunk(chunk: dict[str, Any]) -> str:
+    payload = {
+        "content": chunk.get("content"),
+        "status": chunk.get("status"),
+        "step": chunk.get("step"),
+        "label": chunk.get("label"),
+        "docs": chunk.get("docs"),
+    }
+
+    return json.dumps(jsonable_encoder(payload))
+
+
+async def _stream_agent_with_memory(
+    *,
+    chatfactory: Any,
+    body: models.AgentContext,
+    sp: SearchService,
+    background_tasks: BackgroundTasks,
+    thread_id: UUID,
+) -> AsyncGenerator[dict[str, Any], None]:
+    async with await psycopg.AsyncConnection[DictRow].connect(
+        DB_URI,
+        autocommit=True,
+        prepare_threshold=0,
+        row_factory=ASYNC_DICT_ROW_FACTORY,
+    ) as conn:
+        await conn.execute("SET SEARCH_PATH to agent_related")
+        await conn.commit()
+
+        memory = AsyncPostgresSaver(conn)
+        stream = await chatfactory.agent_message(
+            query=body.query,
+            memory=memory,
+            thread_id=thread_id,
+            corpora=body.corpora,
+            sdg_filter=body.sdg_filter,
+            sp=sp,
+            background_tasks=background_tasks,
+            streamed_ans=True,
+        )
+
+        async for chunk in stream:
+            yield chunk
+
+
+def _build_final_stream_payload(
+    *,
+    final_content: str,
+    docs: Any,
+    thread_id: UUID,
+) -> dict[str, Any]:
+    return {
+        "content": final_content,
+        "status": "stop",
+        "docs": docs,
+        "thread_id": thread_id,
+    }
+
+
+async def _register_stream_chat_data(
+    *,
+    data_collection: Any,
+    session_id: UUID | None,
+    user_query: str,
+    conversation_id: UUID,
+    answer_content: str,
+    sources: Any,
+) -> Any:
+    _, message_id = await data_collection.register_chat_data(
+        session_id=session_id,
+        user_query=user_query,
+        conversation_id=conversation_id,
+        answer_content=answer_content,
+        sources=sources,
+    )
+    return message_id
+
+
+async def _stream_agent_response(
+    *,
+    body: models.AgentContext,
+    chatfactory: Any,
+    sp: SearchService,
+    background_tasks: BackgroundTasks,
+    data_collection: Any,
+    session_id: UUID | None,
+    thread_id: UUID,
+) -> AsyncGenerator[str, None]:
+    final_content = ""
+    docs = []
+    has_streamed_content = False
+
+    stream = _stream_agent_with_memory(
+        chatfactory=chatfactory,
+        body=body,
+        sp=sp,
+        background_tasks=background_tasks,
+        thread_id=thread_id,
+    )
+
+    async for chunk in stream:
+        final_content, docs = _update_agent_stream_state(chunk, final_content, docs)
+        if chunk.get("status") == "streaming" and chunk.get("content"):
+            has_streamed_content = True
+        if chunk.get("status") == "stop":
+            continue
+        try:
+            yield _format_sse_event(_serialize_agent_stream_chunk(chunk))
+        except Exception as e:
+            logger.error("Error while yielding chunk: %s", e)
+
+    final_payload = _build_final_stream_payload(
+        final_content=final_content,
+        docs=docs,
+        thread_id=thread_id,
+    )
+
+    if has_streamed_content:
+        final_payload = {**final_payload, "content": ""}
+
+    try:
+        message_id = await _register_stream_chat_data(
+            data_collection=data_collection,
+            session_id=session_id,
+            user_query=cast(str, body.query),
+            conversation_id=thread_id,
+            answer_content=final_content,
+            sources=docs,
+        )
+        final_payload = {**final_payload, "message_id": message_id}
+    except Exception as e:
+        logger.error("Error while registering chat data: %s", e)
+
+    yield _format_sse_event(json.dumps(jsonable_encoder(final_payload)))
+
+
+@router.post(
+    "/chat/agent_stream",
+    summary="Agent Response Stream",
+    description="This endpoint streams an agent response to the user's message and ends with the full response payload.",
+    response_class=StreamingResponse,
+)
+@backoff.on_exception(
+    wait_gen=backoff.expo,
+    exception=RateLimitError,
+    logger=logger,
+    max_tries=5,
+    max_time=180,
+    jitter=backoff.random_jitter,
+    factor=2,
+)
+async def agent_stream_response(
+    request: Request,
+    background_tasks: BackgroundTasks,
+    body: models.AgentContext = Depends(get_agent_params),
+    chatfactory=Depends(get_chat_service),
+    sp: SearchService = Depends(get_search_service),
+    data_collection=Depends(get_data_collection_service),
+) -> StreamingResponse:
+    try:
+        session_id = extract_session_cookie(request)
+        thread_id = _resolve_thread_id(body.thread_id)
+
+        if body.query is None:
+            raise EmptyQueryError()
+
+        return StreamingResponse(
+            content=_stream_agent_response(
+                body=body,
+                chatfactory=chatfactory,
+                sp=sp,
+                background_tasks=background_tasks,
+                data_collection=data_collection,
+                session_id=session_id,
+                thread_id=thread_id,
+            ),
+            media_type="text/event-stream",
+            headers=SSE_HEADERS,
+        )
+    except LanguageNotSupportedError as e:
+        bad_request(message=e.message, msg_code=e.msg_code)
+        raise
+
+
 @router.post(
     "/chat/agent",
     summary="Agent Response",
@@ -388,8 +635,11 @@ async def agent_response(
             raise EmptyQueryError()
 
         if thread_id:
-            async with await psycopg.AsyncConnection.connect(
-                DB_URI, autocommit=True, prepare_threshold=0, row_factory=dict_row
+            async with await psycopg.AsyncConnection[DictRow].connect(
+                DB_URI,
+                autocommit=True,
+                prepare_threshold=0,
+                row_factory=ASYNC_DICT_ROW_FACTORY,
             ) as conn:
                 await conn.execute("SET SEARCH_PATH to agent_related")
                 await conn.commit()
@@ -425,7 +675,7 @@ async def agent_response(
         }
 
         try:
-            conversation_id, message_id = await data_collection.register_chat_data(
+            _, message_id = await data_collection.register_chat_data(
                 session_id=session_id,
                 user_query=body.query,
                 conversation_id=thread_id,
diff --git a/src/app/models/chat.py b/src/app/models/chat.py
index fe1bfe3..63d553d 100644
--- a/src/app/models/chat.py
+++ b/src/app/models/chat.py
@@ -69,6 +69,8 @@ class AgentContext(SDGFilter):
 
 class AgentResponse(BaseModel):
     content: str | None = None
+    status: str | None = None
+    step: str | None = None
     docs: list[ScoredPoint] | None = None
     thread_id: uuid.UUID | None = None
 
diff --git a/src/app/search/services/search.py b/src/app/search/services/search.py
index 522a2d0..ae48526 100644
--- a/src/app/search/services/search.py
+++ b/src/app/search/services/search.py
@@ -252,6 +252,7 @@ async def search_handler(
         background_tasks: BackgroundTasks,
         qp: EnhancedSearchQuery,
         method: SearchMethods = SearchMethods.BY_SLICES,
+        without_vectors: bool = False,
     ) -> list[http_models.ScoredPoint]:
         assert isinstance(qp.query, str)
 
@@ -314,6 +315,12 @@ async def search_handler(
                 ex,
             )
 
+        if without_vectors:
+            points_without_vectors = [
+                point.model_copy(update={"vector": None}) for point in sorted_data
+            ]
+            return points_without_vectors
+
         return sorted_data
 
     @log_time_and_error
diff --git a/src/app/services/agent.py b/src/app/services/agent.py
index 27e59f1..5827e91 100644
--- a/src/app/services/agent.py
+++ b/src/app/services/agent.py
@@ -31,7 +31,9 @@ async def _get_resources_about_sustainability(
         logger.warning("No SearchService found.")
         return "No relevant documents found.", []
 
-    docs = await sp.search_handler(background_tasks=background_tasks, qp=qp)
+    docs = await sp.search_handler(
+        background_tasks=background_tasks, qp=qp, without_vectors=True
+    )
     if not docs:
         logger.warning("No documents found for the query.")
         return "No relevant documents found.", []
diff --git a/src/app/services/helpers.py b/src/app/services/helpers.py
index f773265..4c691ee 100644
--- a/src/app/services/helpers.py
+++ b/src/app/services/helpers.py
@@ -1,5 +1,5 @@
 from functools import cache
-from typing import Any, List
+from typing import Any, List, cast
 
 import json_repair
 import numpy
@@ -73,18 +73,27 @@ def detect_language_from_entry(entry: str) -> str:
 def normalize_payload(payload: Any) -> dict:
     # Normalize payload to a dict
     if payload is None:
-        payload = {}
-    elif hasattr(payload, "dict") and callable(getattr(payload, "dict")):
-        try:
-            payload = payload.dict()
-        except Exception:
-            payload = dict(payload)
-    elif not isinstance(payload, dict):
+        return {}
+
+    if isinstance(payload, dict):
+        return payload
+
+    for method_name in ("model_dump", "dict"):
+        method = getattr(payload, method_name, None)
+        if not callable(method):
+            continue
         try:
-            payload = dict(payload)
+            data = method()
+            if isinstance(data, dict):
+                return data
+            return dict(cast(Any, data))
         except Exception:
-            payload = {}
-    return payload
+            continue
+
+    try:
+        return dict(payload)
+    except Exception:
+        return {}
 
 
 def stringify_docs_content(docs: List[Any]) -> str:
diff --git a/src/app/shared/infra/abst_chat.py b/src/app/shared/infra/abst_chat.py
index f76409c..441f9ad 100644
--- a/src/app/shared/infra/abst_chat.py
+++ b/src/app/shared/infra/abst_chat.py
@@ -18,12 +18,12 @@
 import json
 import uuid
 from abc import ABC
-from typing import AsyncIterable, Dict, List, Optional
+from typing import Any, AsyncIterable, Dict, List, Optional, TypedDict, cast
 
 from fastapi import BackgroundTasks, Depends, Request
 from langchain.agents import create_agent  # type: ignore
-from langchain.agents.middleware import SummarizationMiddleware  # type: ignore
 from langchain.messages import HumanMessage  # type: ignore
+from langchain_core.messages import BaseMessage  # type: ignore
 from langchain_core.runnables import RunnableConfig  # type: ignore
 from langchain_mistralai import ChatMistralAI
 from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver  # type: ignore
@@ -51,6 +51,10 @@
 # EcoLogits.init(["openai", "mistralai"])
 
 
+class _AgentInputState(TypedDict):
+    messages: list[BaseMessage]
+
+
 class AbstractChat(ABC):
     """
     An abstract base class for chat services.
@@ -147,18 +151,27 @@ async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]:
         )
 
         if isinstance(detected_lang, str):
-            jsn = extract_json_from_response(detected_lang)
+            parsed = extract_json_from_response(detected_lang)
         elif isinstance(detected_lang, dict):
-            jsn = detected_lang
+            parsed = detected_lang
         else:
             raise ValueError("Invalid response from model")
 
+        if not isinstance(parsed, dict):
+            raise ValueError("Invalid response from model")
+
+        jsn: Dict[str, str] = {}
+        for key, value in parsed.items():
+            if not isinstance(key, str) or not isinstance(value, str):
+                raise ValueError("Invalid response from model")
+            jsn[key] = value
+
         return jsn
 
     @log_time_and_error
     async def _detect_past_message_ref(
         self, query: str, history: List[Dict[str, str]]
-    ) -> dict | None:
+    ) -> dict[str, bool] | None:
         """
         Detects reference to past messages.
 
@@ -178,26 +191,28 @@ async def _detect_past_message_ref(
                     "content": prompts.PAST_MESSAGE_REF.format(query=query),
                 },
             ],
-            response_format={
-                "type": "json_object",
-            },
+            response_format={"type": "json_object"},
         )
 
         try:
-            jsn = {}
             if isinstance(completion, str):
-                jsn = extract_json_from_response(completion)
+                raw = extract_json_from_response(completion)
             elif isinstance(completion, dict):
-                jsn = completion
+                raw = completion
             else:
                 raise ValueError("Invalid response from model")
 
-            if "REF_TO_PAST" not in jsn or jsn["REF_TO_PAST"] not in [True, False]:
+            if not isinstance(raw, dict):
                 raise ValueError("Invalid response from model")
 
-            return jsn
+            ref_to_past = raw.get("REF_TO_PAST")
+            if not isinstance(ref_to_past, bool):
+                raise ValueError("Invalid response from model")
+
+            return {"REF_TO_PAST": ref_to_past}
         except json.JSONDecodeError:
             logger.error("api_error=invalid_json, response=%s", completion)
+            return None
 
     async def get_stream_chunks(self, stream) -> AsyncIterable[str]:
         """
@@ -207,7 +222,7 @@ async def get_stream_chunks(self, stream) -> AsyncIterable[str]:
             stream (Generator[dict]): The streamed chat response.
 
         Yields:
-            str: The openai stream content.
+            str: The stream content.
         """
         try:
             async for chunk in stream:
@@ -220,7 +235,7 @@ async def get_stream_chunks(self, stream) -> AsyncIterable[str]:
                         yield part
             except Exception as e:
                 logger.error("get_stream_chunks api_error=%s", e)
-                raise e
+                raise
 
     def _extract_stream_chunk(self, chunk):
         choices = getattr(chunk, "choices", None)
@@ -232,6 +247,122 @@ def _extract_stream_chunk(self, chunk):
             if finish_reason:
                 log_environmental_impacts(chunk, logger)
 
+    async def get_agent_chunks(self, stream) -> AsyncIterable[dict[str, Any]]:
+        """
+        Gets content from streamed response of an agent.
+
+        Args:
+            stream (Generator[dict]): The streamed agent response.
+
+        Yields:
+            dict[str, Any]: Normalized agent stream payload chunks.
+        """
+        try:
+            async for chunk in stream:
+                for part in self._extract_agent_chunk(chunk):
+                    yield part
+        except Exception as e:
+            logger.error("get_agent_chunks api_error=%s", e)
+            raise
+
+    def _extract_agent_chunk(self, chunk):
+        if isinstance(chunk, dict):
+            if chunk.get("tools"):
+                yield {
+                    "status": "processing",
+                    "step": "analyzing_resources",
+                    "docs": chunk["tools"]["messages"][0].artifact,
+                }
+
+            elif chunk.get("model"):
+                messages = chunk["model"].get("messages")
+                if not messages:
+                    logger.debug("agent_stream chunk_skipped=missing_or_empty_messages")
+                    return None
+
+                last_message = messages[-1]
+                response_metadata = (
+                    getattr(last_message, "response_metadata", None) or {}
+                )
+                finish_reason = response_metadata.get("finish_reason")
+
+                if finish_reason == "tool_calls":
+                    yield {
+                        "status": "processing",
+                        "step": "fetching_resources",
+                    }
+                else:
+                    content = self._extract_text_from_message_content(
+                        getattr(last_message, "content", "")
+                    )
+                    if content:
+                        yield {
+                            "status": "streaming",
+                            "step": "generating_answer",
+                            "content": content,
+                        }
+            return None
+
+        if not (isinstance(chunk, tuple) and len(chunk) == 2):
+            logger.debug(
+                "agent_stream chunk_skipped=invalid_type type=%s",
+                type(chunk).__name__,
+            )
+            return None
+
+        message, metadata = chunk
+        node_name = (
+            metadata.get("langgraph_node") if isinstance(metadata, dict) else None
+        )
+
+        if node_name == "tools":
+            docs = getattr(message, "artifact", None)
+            payload: dict[str, Any] = {
+                "status": "processing",
+                "step": "analyzing_resources",
+            }
+            if docs is not None:
+                payload["docs"] = docs
+            yield payload
+            return None
+
+        response_metadata = getattr(message, "response_metadata", None) or {}
+        finish_reason = response_metadata.get("finish_reason")
+
+        if finish_reason == "tool_calls":
+            yield {
+                "status": "processing",
+                "step": "fetching_resources",
+            }
+            return None
+
+        content = self._extract_text_from_message_content(
+            getattr(message, "content", "")
+        )
+        if content:
+            yield {
+                "status": "streaming",
+                "step": "generating_answer",
+                "content": content,
+            }
+
+    def _extract_text_from_message_content(self, content: Any) -> str:
+        if isinstance(content, str):
+            return content
+
+        if isinstance(content, list):
+            text_parts: list[str] = []
+            for item in content:
+                if isinstance(item, str):
+                    text_parts.append(item)
+                elif isinstance(item, dict):
+                    text = item.get("text")
+                    if isinstance(text, str):
+                        text_parts.append(text)
+            return "".join(text_parts)
+
+        return ""
+
     @log_time_and_error
     async def reformulate_user_query(self, query: str, history: List[Dict[str, str]]):
         """
@@ -245,7 +376,7 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]]
             dict: The reformulated query or None.
         """
 
-        ref_to_past: dict | None = await self._detect_past_message_ref(query, history)
+        ref_to_past = await self._detect_past_message_ref(query, history)
         if ref_to_past and ref_to_past["REF_TO_PAST"]:
             return ReformulatedQueryResponse(
                 STANDALONE_QUESTION=None,
@@ -414,12 +545,6 @@ async def _create_agent(
             ],
             checkpointer=memory,
             system_prompt=prompts.AGENT_SYSTEM_PROMPT,
-            middleware=[
-                SummarizationMiddleware(
-                    model=agent_model,
-                    trigger=("tokens", 32000),
-                )
-            ],
         )
         return self.agent_executor
 
@@ -432,6 +557,7 @@ async def agent_message(
         sdg_filter: Optional[List[int]] = None,
         sp: SearchService | None = None,
         background_tasks: BackgroundTasks | None = None,
+        streamed_ans: bool = False,
     ):
         """
         Sends a chat message handled by an agent.
@@ -442,14 +568,15 @@ async def agent_message(
             thread_id (uuid.UUID): The thread ID.
             corpora (tuple[str, ...] | None): The corpora to search resources.
             sdg_filter (list[int] | None): The SDG filters to apply to the search.
+            sp (SearchService | None): The search service to use for retrieving resources.
+            background_tasks (BackgroundTasks | None): The background tasks to use for the search.
+            streamed_ans (bool): Whether to stream the answer.
 
         Returns:
             str: The chat message content.
         """
 
-        agent_executor = await self._create_agent(
-            memory=memory,
-        )
+        agent_executor = await self._create_agent(memory=memory)
 
         config = RunnableConfig(
             configurable={
@@ -461,14 +588,16 @@ async def agent_message(
             }
         )
 
-        state = {"messages": [HumanMessage(content=query)]}
+        messages: list[BaseMessage] = [HumanMessage(content=query)]
+        state: _AgentInputState = {"messages": messages}
 
-        res = await agent_executor.ainvoke(
-            input=state,
-            config=config,
-            background_tasks=background_tasks,
-        )
+        if streamed_ans:
+            res = agent_executor.astream(
+                input=cast(Any, state), config=config, stream_mode="messages"
+            )
+            return self.get_agent_chunks(res)
 
+        res = await agent_executor.ainvoke(input=cast(Any, state), config=config)
         return res
 
     async def agent_get_history(
diff --git a/src/app/tests/api/api_v1/test_chat.py b/src/app/tests/api/api_v1/test_chat.py
index d290e60..9e8c613 100644
--- a/src/app/tests/api/api_v1/test_chat.py
+++ b/src/app/tests/api/api_v1/test_chat.py
@@ -357,3 +357,39 @@ def test_chat_agent(self, agent_message_mock, *mocks):
             self.assertEqual(response.status_code, 200)
             self.assertIn("content", response.json())
             self.assertIn("docs", response.json())
+
+    @mock.patch("psycopg.AsyncConnection.connect", new_callable=mock.AsyncMock)
+    @mock.patch(
+        "src.app.shared.infra.security.check_api_key_sync",
+        new=mock.MagicMock(return_value=True),
+    )
+    @mock.patch("src.app.shared.infra.abst_chat.AbstractChat.agent_message")
+    def test_chat_agent_stream(self, agent_message_mock, *mocks):
+        async def _fake_stream():
+            yield {"status": "test", "content": "fake content"}
+
+        agent_message_mock.return_value = _fake_stream()
+
+        with TestClient(app) as client:
+            response = client.post(
+                f"{settings.API_V1_STR}/qna/chat/agent_stream",
+                json={
+                    "query": "What are the SDGs?",
+                    "thread_id": str(uuid.uuid4()),
+                    "corpora": [],
+                    "sdg_filter": [],
+                },
+                headers={"X-API-Key": "test", "origin": "test"},
+            )
+
+            self.assertEqual(response.status_code, 200)
+            self.assertIn(
+                'data: {"content": "fake content", "status": "test"}',
+                response.text,
+            )
+            self.assertIn(
+                'data: {"content": "", "status": "stop"',
+                response.text,
+            )
+            self.assertTrue(agent_message_mock.called)
+            self.assertTrue(agent_message_mock.call_args.kwargs["streamed_ans"])
diff --git a/src/app/tests/api/api_v1/test_chat_utils.py b/src/app/tests/api/api_v1/test_chat_utils.py
new file mode 100644
index 0000000..aff0527
--- /dev/null
+++ b/src/app/tests/api/api_v1/test_chat_utils.py
@@ -0,0 +1,70 @@
+import unittest
+import uuid
+
+from src.app.api.api_v1.endpoints import chat
+
+
+class TestChatUtils(unittest.TestCase):
+    def test_resolve_thread_id_with_value(self):
+        test_uuid = uuid.uuid4()
+        result = chat._resolve_thread_id(test_uuid)
+        self.assertEqual(result, test_uuid)
+
+    def test_resolve_thread_id_without_value(self):
+        result = chat._resolve_thread_id(None)
+        self.assertIsInstance(result, uuid.UUID)
+
+    def test_update_agent_stream_state_processing(self):
+        chunk = {"status": "processing", "docs": ["doc1"]}
+        final_content, docs = chat._update_agent_stream_state(chunk, "", None)
+        self.assertEqual(docs, ["doc1"])
+        self.assertEqual(final_content, "")
+
+    def test_update_agent_stream_state_streaming(self):
+        chunk = {"status": "streaming", "content": "new token"}
+        final_content, docs = chat._update_agent_stream_state(chunk, "old ", "docs")
+        self.assertEqual(final_content, "old new token")
+        self.assertEqual(docs, "docs")
+
+    def test_update_agent_stream_state_stop(self):
+        chunk = {"status": "stop", "content": "final answer"}
+        final_content, docs = chat._update_agent_stream_state(chunk, "old", "docs")
+        self.assertEqual(final_content, "final answer")
+        self.assertEqual(docs, "docs")
+
+    def test_update_agent_stream_state_default(self):
+        chunk = {"status": "other"}
+        final_content, docs = chat._update_agent_stream_state(chunk, "old", "docs")
+        self.assertEqual(final_content, "old")
+        self.assertEqual(docs, "docs")
+
+    def test_serialize_agent_stream_chunk(self):
+        chunk = {
+            "status": "processing",
+            "step": "fetching_resources",
+        }
+        result = chat._serialize_agent_stream_chunk(chunk)
+        self.assertEqual(
+            result,
+            '{"content": null, "status": "processing", "step": "fetching_resources"}',
+        )
+
+    def test_serialize_agent_stream_chunk_with_docs(self):
+        chunk = {
+            "status": "processing",
+            "step": "analyzing_resources",
+            "docs": [{"id": "doc-1"}],
+        }
+        result = chat._serialize_agent_stream_chunk(chunk)
+        self.assertEqual(
+            result,
+            '{"content": null, "status": "processing", "step": "analyzing_resources", "docs": [{"id": "doc-1"}]}',
+        )
+
+    def test_format_sse_event(self):
+        result = chat._format_sse_event('{"content": "abc"}')
+        self.assertEqual(result, 'data: {"content": "abc"}\n\n')
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/src/app/tests/services/test_abst_chat_utils.py b/src/app/tests/services/test_abst_chat_utils.py
new file mode 100644
index 0000000..4e0c679
--- /dev/null
+++ b/src/app/tests/services/test_abst_chat_utils.py
@@ -0,0 +1,202 @@
+import types
+import unittest
+from unittest import mock
+
+from src.app.shared.infra import abst_chat
+
+
+class TestAbstChatUtils(unittest.IsolatedAsyncioTestCase):
+    def setUp(self):
+        self.chat = abst_chat.AbstractChat(client=mock.AsyncMock())
+
+    async def test_json_formatter_agent(self):
+        self.chat.chat_client.completion = mock.AsyncMock(
+            return_value='{"key": "value"}'
+        )
+        with mock.patch(
+            "src.app.services.helpers.extract_json_from_response",
+            return_value={"key": "value"},
+        ):
+            result = await self.chat.json_formatter_agent("bad", "schema")
+            self.assertEqual(result, {"key": "value"})
+
+    async def test_get_stream_chunks_async_and_sync(self):
+        # Create a mock chunk object with .choices attribute
+        class MockDelta:
+            def __init__(self, content):
+                self.content = content
+
+        class MockChoice:
+            def __init__(self, delta, finish_reason=None):
+                self.delta = delta
+                self.finish_reason = finish_reason
+
+        class MockChunk:
+            def __init__(self, content):
+                self.choices = [MockChoice(MockDelta(content))]
+
+        # Async generator
+        async def async_stream():
+            yield MockChunk("abc")
+
+        # Async path
+        chunks = []
+        async for part in self.chat.get_stream_chunks(async_stream()):
+            chunks.append(part)
+        self.assertIn("abc", chunks)
+
+        # Sync fallback path: force async for to raise, fallback to sync
+        def sync_stream():
+            yield MockChunk("abc")
+
+        with mock.patch.object(
+            self.chat, "_extract_stream_chunk", wraps=self.chat._extract_stream_chunk
+        ) as extract_mock:
+            sync_chunks = []
+            async for part in self.chat.get_stream_chunks(sync_stream()):
+                sync_chunks.append(part)
+
+            self.assertIn("abc", sync_chunks)
+            self.assertGreaterEqual(extract_mock.call_count, 1)
+
+    def test_extract_stream_chunk(self):
+        # With choices and delta content
+        chunk = types.SimpleNamespace(
+            choices=[
+                types.SimpleNamespace(
+                    delta=types.SimpleNamespace(content="abc"), finish_reason=None
+                )
+            ]
+        )
+        result = list(self.chat._extract_stream_chunk(chunk))
+        self.assertIn("abc", result)
+        # With finish_reason
+        chunk = types.SimpleNamespace(
+            choices=[
+                types.SimpleNamespace(
+                    delta=types.SimpleNamespace(content=None), finish_reason="stop"
+                )
+            ]
+        )
+        # Should not yield, just log
+        result = list(self.chat._extract_stream_chunk(chunk))
+        self.assertEqual(result, [])
+
+    def test_extract_agent_chunk(self):
+        # Not a dict
+        self.assertIsNone(next(self.chat._extract_agent_chunk("notadict"), None))
+        # With tools
+        chunk = {
+            "tools": {"messages": [mock.Mock(artifact=[1, 2, 3])]},
+            "content": "foo",
+        }
+        result = next(self.chat._extract_agent_chunk(chunk))
+        self.assertEqual(result["status"], "processing")
+        self.assertEqual(result["step"], "analyzing_resources")
+        self.assertNotIn("content", result)
+        # With model and finish_reason tool_calls
+        chunk = {
+            "model": {
+                "messages": [
+                    mock.Mock(response_metadata={"finish_reason": "tool_calls"})
+                ]
+            }
+        }
+        result = next(self.chat._extract_agent_chunk(chunk))
+        self.assertEqual(result["status"], "processing")
+        self.assertEqual(result["step"], "fetching_resources")
+        self.assertNotIn("content", result)
+        # With model and finish_reason stop (content kept as streaming)
+        chunk = {
+            "model": {
+                "messages": [
+                    mock.Mock(
+                        response_metadata={"finish_reason": "stop"}, content="done"
+                    )
+                ]
+            }
+        }
+        result = next(self.chat._extract_agent_chunk(chunk))
+        self.assertEqual(result["status"], "streaming")
+
+    def test_extract_agent_chunk_messages_tuple(self):
+        msg = mock.Mock(content="hello", response_metadata={})
+        chunk = (msg, {"langgraph_node": "model"})
+
+        result = next(self.chat._extract_agent_chunk(chunk))
+        self.assertEqual(
+            result,
+            {"status": "streaming", "step": "generating_answer", "content": "hello"},
+        )
+
+    def test_extract_agent_chunk_messages_tuple_tool_call(self):
+        msg = mock.Mock(content="", response_metadata={"finish_reason": "tool_calls"})
+        chunk = (msg, {"langgraph_node": "model"})
+
+        result = next(self.chat._extract_agent_chunk(chunk))
+        self.assertEqual(result["status"], "processing")
+        self.assertEqual(result["step"], "fetching_resources")
+        self.assertNotIn("content", result)
+
+    def test_extract_agent_chunk_messages_tuple_tools_node(self):
+        msg = mock.Mock(artifact=[{"id": "doc-1"}], response_metadata={})
+        chunk = (msg, {"langgraph_node": "tools"})
+
+        result = next(self.chat._extract_agent_chunk(chunk))
+        self.assertEqual(result["status"], "processing")
+        self.assertEqual(result["step"], "analyzing_resources")
+        self.assertEqual(result["docs"], [{"id": "doc-1"}])
+        self.assertNotIn("content", result)
+
+    async def test_run_llm_with_json_parsing_success(self):
+        self.chat.chat_client.completion = mock.AsyncMock(return_value='{"foo": "bar"}')
+        with mock.patch(
+            "src.app.services.helpers.extract_json_from_response",
+            return_value={"foo": "bar"},
+        ):
+
+            class Dummy:
+                def __init__(self, foo):
+                    self.foo = foo
+
+            result = await self.chat.run_llm_with_json_parsing([], Dummy)
+            self.assertIsInstance(result, Dummy)
+            self.assertEqual(result.foo, "bar")
+
+    async def test_run_llm_with_json_parsing_fallback(self):
+        self.chat.chat_client.completion = mock.AsyncMock(return_value="notjson")
+        with mock.patch(
+            "src.app.services.helpers.extract_json_from_response",
+            side_effect=Exception(),
+        ):
+            self.chat.json_formatter_agent = mock.AsyncMock(return_value={"foo": "bar"})
+
+            class Dummy:
+                def __init__(self, foo):
+                    self.foo = foo
+
+            result = await self.chat.run_llm_with_json_parsing(
+                [], Dummy, fallback_formatter="schema"
+            )
+            self.assertEqual(result, {"foo": "bar"})
+
+    async def test_run_llm_with_json_parsing_error(self):
+        self.chat.chat_client.completion = mock.AsyncMock(return_value="notjson")
+        with mock.patch(
+            "src.app.services.helpers.extract_json_from_response",
+            side_effect=Exception(),
+        ):
+            self.chat.json_formatter_agent = mock.AsyncMock(side_effect=Exception())
+
+            class Dummy:
+                def __init__(self, foo):
+                    self.foo = foo
+
+            with self.assertRaises(Exception):
+                await self.chat.run_llm_with_json_parsing(
+                    [], Dummy, fallback_formatter="schema"
+                )
+
+
+if __name__ == "__main__":
+    unittest.main()