diff --git a/packages/traceloop-sdk/.flake8 b/packages/traceloop-sdk/.flake8
index b689847557..4cbe545eb8 100644
--- a/packages/traceloop-sdk/.flake8
+++ b/packages/traceloop-sdk/.flake8
@@ -9,4 +9,6 @@ exclude =
 	.venv,
 	.pytest_cache
 max-line-length = 120
-per-file-ignores = __init__.py:F401
+per-file-ignores =
+	__init__.py:F401
+	traceloop/sdk/generated/**/*.py:E501
diff --git a/packages/traceloop-sdk/poetry.lock b/packages/traceloop-sdk/poetry.lock
index e3e764fe3e..8b3399e3dc 100644
--- a/packages/traceloop-sdk/poetry.lock
+++ b/packages/traceloop-sdk/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -7,7 +7,6 @@ description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
     {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
@@ -20,7 +19,6 @@ description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a60804bff28662cbcf340a4d61598891f12eea3a66af48ecfdc975ceec21e3c8"},
     {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5"},
@@ -120,7 +118,6 @@ description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
     {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -135,8 +132,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
+groups = ["main", "dev", "test"]
 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"},
@@ -149,7 +145,6 @@ description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "anthropic-0.25.9-py3-none-any.whl", hash = "sha256:d0b17d442160356a531593b237de55d3125cc6fa708f1268c214107e61c81c57"},
     {file = "anthropic-0.25.9.tar.gz", hash = "sha256:a4ec810b1cfbf3340af99b6f5bf599a83d66986e0f572a5f3bc4ebcab284f629"},
@@ -175,7 +170,6 @@ description = "High level compatibility layer for multiple asynchronous event lo
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
     {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
@@ -192,6 +186,21 @@ doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
+[[package]]
+name = "argcomplete"
+version = "3.6.3"
+description = "Bash tab completion for argparse"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+files = [
+    {file = "argcomplete-3.6.3-py3-none-any.whl", hash = "sha256:f5007b3a600ccac5d25bbce33089211dfd49eab4a7718da3f10e3082525a92ce"},
+    {file = "argcomplete-3.6.3.tar.gz", hash = "sha256:62e8ed4fd6a45864acc8235409461b72c9a28ee785a2011cc5eb78318786c89c"},
+]
+
+[package.extras]
+test = ["coverage", "mypy", "pexpect", "ruff", "wheel"]
+
 [[package]]
 name = "async-timeout"
 version = "4.0.3"
@@ -199,7 +208,7 @@ description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "test"]
-markers = "python_version < \"3.11\" and platform_python_implementation == \"PyPy\" or 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"},
@@ -212,7 +221,6 @@ description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
     {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
@@ -233,7 +241,6 @@ description = "A tool that automatically formats Python code to conform to the P
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "autopep8-2.2.0-py2.py3-none-any.whl", hash = "sha256:05418a981f038969d8bdcd5636bf15948db7555ae944b9f79b5a34b35f1370d4"},
     {file = "autopep8-2.2.0.tar.gz", hash = "sha256:d306a0581163ac29908280ad557773a95a9bede072c0fafed6f141f5311f43c1"},
@@ -243,6 +250,59 @@ files = [
 pycodestyle = ">=2.11.0"
 tomli = {version = "*", markers = "python_version < \"3.11\""}
 
+[[package]]
+name = "black"
+version = "25.12.0"
+description = "The uncompromising code formatter."
+optional = false
+python-versions = ">=3.10"
+groups = ["dev"]
+files = [
+    {file = "black-25.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f85ba1ad15d446756b4ab5f3044731bf68b777f8f9ac9cdabd2425b97cd9c4e8"},
+    {file = "black-25.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:546eecfe9a3a6b46f9d69d8a642585a6eaf348bcbbc4d87a19635570e02d9f4a"},
+    {file = "black-25.12.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:17dcc893da8d73d8f74a596f64b7c98ef5239c2cd2b053c0f25912c4494bf9ea"},
+    {file = "black-25.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:09524b0e6af8ba7a3ffabdfc7a9922fb9adef60fed008c7cd2fc01f3048e6e6f"},
+    {file = "black-25.12.0-cp310-cp310-win_arm64.whl", hash = "sha256:b162653ed89eb942758efeb29d5e333ca5bb90e5130216f8369857db5955a7da"},
+    {file = "black-25.12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d0cfa263e85caea2cff57d8f917f9f51adae8e20b610e2b23de35b5b11ce691a"},
+    {file = "black-25.12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1a2f578ae20c19c50a382286ba78bfbeafdf788579b053d8e4980afb079ab9be"},
+    {file = "black-25.12.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e1b65634b0e471d07ff86ec338819e2ef860689859ef4501ab7ac290431f9b"},
+    {file = "black-25.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:a3fa71e3b8dd9f7c6ac4d818345237dfb4175ed3bf37cd5a581dbc4c034f1ec5"},
+    {file = "black-25.12.0-cp311-cp311-win_arm64.whl", hash = "sha256:51e267458f7e650afed8445dc7edb3187143003d52a1b710c7321aef22aa9655"},
+    {file = "black-25.12.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:31f96b7c98c1ddaeb07dc0f56c652e25bdedaac76d5b68a059d998b57c55594a"},
+    {file = "black-25.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:05dd459a19e218078a1f98178c13f861fe6a9a5f88fc969ca4d9b49eb1809783"},
+    {file = "black-25.12.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c1f68c5eff61f226934be6b5b80296cf6939e5d2f0c2f7d543ea08b204bfaf59"},
+    {file = "black-25.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:274f940c147ddab4442d316b27f9e332ca586d39c85ecf59ebdea82cc9ee8892"},
+    {file = "black-25.12.0-cp312-cp312-win_arm64.whl", hash = "sha256:169506ba91ef21e2e0591563deda7f00030cb466e747c4b09cb0a9dae5db2f43"},
+    {file = "black-25.12.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a05ddeb656534c3e27a05a29196c962877c83fa5503db89e68857d1161ad08a5"},
+    {file = "black-25.12.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9ec77439ef3e34896995503865a85732c94396edcc739f302c5673a2315e1e7f"},
+    {file = "black-25.12.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e509c858adf63aa61d908061b52e580c40eae0dfa72415fa47ac01b12e29baf"},
+    {file = "black-25.12.0-cp313-cp313-win_amd64.whl", hash = "sha256:252678f07f5bac4ff0d0e9b261fbb029fa530cfa206d0a636a34ab445ef8ca9d"},
+    {file = "black-25.12.0-cp313-cp313-win_arm64.whl", hash = "sha256:bc5b1c09fe3c931ddd20ee548511c64ebf964ada7e6f0763d443947fd1c603ce"},
+    {file = "black-25.12.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:0a0953b134f9335c2434864a643c842c44fba562155c738a2a37a4d61f00cad5"},
+    {file = "black-25.12.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:2355bbb6c3b76062870942d8cc450d4f8ac71f9c93c40122762c8784df49543f"},
+    {file = "black-25.12.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9678bd991cc793e81d19aeeae57966ee02909877cb65838ccffef24c3ebac08f"},
+    {file = "black-25.12.0-cp314-cp314-win_amd64.whl", hash = "sha256:97596189949a8aad13ad12fcbb4ae89330039b96ad6742e6f6b45e75ad5cfd83"},
+    {file = "black-25.12.0-cp314-cp314-win_arm64.whl", hash = "sha256:778285d9ea197f34704e3791ea9404cd6d07595745907dd2ce3da7a13627b29b"},
+    {file = "black-25.12.0-py3-none-any.whl", hash = "sha256:48ceb36c16dbc84062740049eef990bb2ce07598272e673c17d1a7720c71c828"},
+    {file = "black-25.12.0.tar.gz", hash = "sha256:8d3dd9cea14bff7ddc0eb243c811cdb1a011ebb4800a5f0335a01a68654796a7"},
+]
+
+[package.dependencies]
+click = ">=8.0.0"
+mypy-extensions = ">=0.4.3"
+packaging = ">=22.0"
+pathspec = ">=0.9.0"
+platformdirs = ">=2"
+pytokens = ">=0.3.0"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
+
+[package.extras]
+colorama = ["colorama (>=0.4.3)"]
+d = ["aiohttp (>=3.10)"]
+jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
+uvloop = ["uvloop (>=0.15.2)"]
+
 [[package]]
 name = "certifi"
 version = "2024.12.14"
@@ -250,7 +310,6 @@ description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
     {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
@@ -263,7 +322,6 @@ description = "The Real First Universal Charset Detector. Open, modern and activ
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
     {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -359,6 +417,21 @@ files = [
     {file = "charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3"},
 ]
 
+[[package]]
+name = "click"
+version = "8.3.1"
+description = "Composable command line interface toolkit"
+optional = false
+python-versions = ">=3.10"
+groups = ["dev"]
+files = [
+    {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"},
+    {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -366,7 +439,6 @@ description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 groups = ["main", "dev", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -379,11 +451,44 @@ description = "Fast, scalable unique ID generation"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "cuid-0.4.tar.gz", hash = "sha256:74eaba154916a2240405c3631acee708c263ef8fa05a86820b87d0f59f84e978"},
 ]
 
+[[package]]
+name = "datamodel-code-generator"
+version = "0.26.5"
+description = "Datamodel Code Generator"
+optional = false
+python-versions = "<4.0,>=3.8"
+groups = ["dev"]
+files = [
+    {file = "datamodel_code_generator-0.26.5-py3-none-any.whl", hash = "sha256:e32f986b9914a2b45093947043aa0192d704650be93151f78acf5c95676601ce"},
+    {file = "datamodel_code_generator-0.26.5.tar.gz", hash = "sha256:c4a94a7dbf7972129882732d9bcee44c9ae090f57c82edd58d237b9d48c40dd0"},
+]
+
+[package.dependencies]
+argcomplete = ">=1.10,<4.0"
+black = ">=19.10b0"
+genson = ">=1.2.1,<2.0"
+inflect = ">=4.1.0,<6.0"
+isort = ">=4.3.21,<6.0"
+jinja2 = ">=2.10.1,<4.0"
+packaging = "*"
+pydantic = [
+    {version = ">=1.9.0,<2.4.0 || >2.4.0,<3.0", extras = ["email"], markers = "python_version == \"3.10\""},
+    {version = ">=1.10.0,<2.4.0 || >2.4.0,<3.0", extras = ["email"], markers = "python_version >= \"3.11\" and python_version < \"4.0\""},
+    {version = ">=1.10.0,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.4.0 || >2.4.0,<3.0", extras = ["email"], markers = "python_version >= \"3.12\" and python_version < \"4.0\""},
+]
+pyyaml = ">=6.0.1"
+toml = {version = ">=0.10.0,<1.0.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+debug = ["PySnooper (>=0.4.1,<2.0.0)"]
+graphql = ["graphql-core (>=3.2.3,<4.0.0)"]
+http = ["httpx"]
+validation = ["openapi-spec-validator (>=0.2.8,<0.7.0)", "prance (>=0.18.2)"]
+
 [[package]]
 name = "deprecated"
 version = "1.2.15"
@@ -391,7 +496,6 @@ description = "Python @deprecated decorator to deprecate old python classes, fun
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "Deprecated-1.2.15-py2.py3-none-any.whl", hash = "sha256:353bc4a8ac4bfc96800ddab349d89c25dec1079f65fd53acdcc1e0b975b21320"},
     {file = "deprecated-1.2.15.tar.gz", hash = "sha256:683e561a90de76239796e6b6feac66b99030d2dd3fcf61ef996330f14bbb9b0d"},
@@ -410,12 +514,48 @@ description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
+[[package]]
+name = "dnspython"
+version = "2.8.0"
+description = "DNS toolkit"
+optional = false
+python-versions = ">=3.10"
+groups = ["dev"]
+files = [
+    {file = "dnspython-2.8.0-py3-none-any.whl", hash = "sha256:01d9bbc4a2d76bf0db7c1f729812ded6d912bd318d3b1cf81d30c0f845dbf3af"},
+    {file = "dnspython-2.8.0.tar.gz", hash = "sha256:181d3c6996452cb1189c4046c61599b84a5a86e099562ffde77d26984ff26d0f"},
+]
+
+[package.extras]
+dev = ["black (>=25.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "hypercorn (>=0.17.0)", "mypy (>=1.17)", "pylint (>=3)", "pytest (>=8.4)", "pytest-cov (>=6.2.0)", "quart-trio (>=0.12.0)", "sphinx (>=8.2.0)", "sphinx-rtd-theme (>=3.0.0)", "twine (>=6.1.0)", "wheel (>=0.45.0)"]
+dnssec = ["cryptography (>=45)"]
+doh = ["h2 (>=4.2.0)", "httpcore (>=1.0.0)", "httpx (>=0.28.0)"]
+doq = ["aioquic (>=1.2.0)"]
+idna = ["idna (>=3.10)"]
+trio = ["trio (>=0.30)"]
+wmi = ["wmi (>=1.5.1) ; platform_system == \"Windows\""]
+
+[[package]]
+name = "email-validator"
+version = "2.3.0"
+description = "A robust email address syntax and deliverability validation library."
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+files = [
+    {file = "email_validator-2.3.0-py3-none-any.whl", hash = "sha256:80f13f623413e6b197ae73bb10bf4eb0908faf509ad8362c5edeb0be7fd450b4"},
+    {file = "email_validator-2.3.0.tar.gz", hash = "sha256:9fc05c37f2f6cf439ff414f8fc46d917929974a82244c20eb10231ba60c54426"},
+]
+
+[package.dependencies]
+dnspython = ">=2.0.0"
+idna = ">=2.0.0"
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
@@ -423,7 +563,7 @@ description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "dev", "test"]
-markers = "python_version < \"3.11\" and platform_python_implementation == \"PyPy\" or python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -439,7 +579,6 @@ description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
     {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
@@ -457,7 +596,6 @@ description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "flake8-7.0.0-py2.py3-none-any.whl", hash = "sha256:a6dfbb75e03252917f2473ea9653f7cd799c3064e54d4c8140044c5c065f53c3"},
     {file = "flake8-7.0.0.tar.gz", hash = "sha256:33f96621059e65eec474169085dc92bf26e7b2d47366b70be2f67ab80dc25132"},
@@ -475,7 +613,6 @@ description = "A list-like structure which implements collections.abc.MutableSeq
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
@@ -578,7 +715,6 @@ description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "fsspec-2024.12.0-py3-none-any.whl", hash = "sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"},
     {file = "fsspec-2024.12.0.tar.gz", hash = "sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"},
@@ -612,6 +748,18 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "genson"
+version = "1.3.0"
+description = "GenSON is a powerful, user-friendly JSON Schema generator."
+optional = false
+python-versions = "*"
+groups = ["dev"]
+files = [
+    {file = "genson-1.3.0-py3-none-any.whl", hash = "sha256:468feccd00274cc7e4c09e84b08704270ba8d95232aa280f65b986139cec67f7"},
+    {file = "genson-1.3.0.tar.gz", hash = "sha256:e02db9ac2e3fd29e65b5286f7135762e2cd8a986537c075b06fc5f1517308e37"},
+]
+
 [[package]]
 name = "googleapis-common-protos"
 version = "1.66.0"
@@ -619,7 +767,6 @@ description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "googleapis_common_protos-1.66.0-py2.py3-none-any.whl", hash = "sha256:d7abcd75fabb2e0ec9f74466401f6c119a0b498e27370e9be4c94cb7e382b8ed"},
     {file = "googleapis_common_protos-1.66.0.tar.gz", hash = "sha256:c3e7b33d15fdca5374cc0a7346dd92ffa847425cc4ea941d970f13680052ec8c"},
@@ -638,7 +785,7 @@ description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "(platform_python_implementation == \"PyPy\" or python_version == \"3.10\" or python_version == \"3.11\" or python_version == \"3.12\" or python_version == \"3.13\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") and python_version <= \"3.13\""
+markers = "(platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") and python_version < \"3.14\""
 files = [
     {file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"},
     {file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"},
@@ -726,7 +873,6 @@ description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "grpcio-1.69.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:2060ca95a8db295ae828d0fc1c7f38fb26ccd5edf9aa51a0f44251f5da332e97"},
     {file = "grpcio-1.69.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:2e52e107261fd8fa8fa457fe44bfadb904ae869d87c1280bf60f93ecd3e79278"},
@@ -795,7 +941,6 @@ description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -808,7 +953,6 @@ description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
     {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
@@ -831,7 +975,6 @@ description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -857,7 +1000,6 @@ description = "Client library to download and publish models, datasets and other
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "huggingface_hub-0.27.1-py3-none-any.whl", hash = "sha256:1c5155ca7d60b60c2e2fc38cbb3ffb7f7c3adf48f824015b219af9061771daec"},
     {file = "huggingface_hub-0.27.1.tar.gz", hash = "sha256:c004463ca870283909d715d20f066ebd6968c2207dae9393fdffb3c1d4d8f98b"},
@@ -892,8 +1034,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
+groups = ["main", "dev", "test"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -909,7 +1050,6 @@ description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
     {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
@@ -927,6 +1067,22 @@ perf = ["ipython"]
 test = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
+[[package]]
+name = "inflect"
+version = "5.6.2"
+description = "Correctly generate plurals, singular nouns, ordinals, indefinite articles; convert numbers to words"
+optional = false
+python-versions = ">=3.7"
+groups = ["dev"]
+files = [
+    {file = "inflect-5.6.2-py3-none-any.whl", hash = "sha256:b45d91a4a28a4e617ff1821117439b06eaa86e2a4573154af0149e9be6687238"},
+    {file = "inflect-5.6.2.tar.gz", hash = "sha256:aadc7ed73928f5e014129794bbac03058cca35d0a973a5fc4eb45c7fa26005f9"},
+]
+
+[package.extras]
+docs = ["jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx"]
+testing = ["pygments", "pytest (>=6)", "pytest-black (>=0.3.7) ; platform_python_implementation != \"PyPy\"", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1) ; platform_python_implementation != \"PyPy\""]
+
 [[package]]
 name = "inflection"
 version = "0.5.1"
@@ -934,7 +1090,6 @@ description = "A port of Ruby on Rails inflector to Python"
 optional = false
 python-versions = ">=3.5"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "inflection-0.5.1-py2.py3-none-any.whl", hash = "sha256:f38b2b640938a4f35ade69ac3d053042959b62a0f1076a5bbaa1b9526605a8a2"},
     {file = "inflection-0.5.1.tar.gz", hash = "sha256:1a29730d366e996aaacffb2f1f1cb9593dc38e2ddd30c91250c6dde09ea9b417"},
@@ -947,20 +1102,33 @@ description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
 groups = ["dev", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
+[[package]]
+name = "isort"
+version = "5.13.2"
+description = "A Python utility / library to sort Python imports."
+optional = false
+python-versions = ">=3.8.0"
+groups = ["dev"]
+files = [
+    {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
+    {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
+]
+
+[package.extras]
+colors = ["colorama (>=0.4.6)"]
+
 [[package]]
 name = "jinja2"
 version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
+groups = ["main", "dev"]
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -979,7 +1147,6 @@ description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "jiter-0.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ca8577f6a413abe29b079bc30f907894d7eb07a865c4df69475e868d73e71c7b"},
     {file = "jiter-0.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b25bd626bde7fb51534190c7e3cb97cee89ee76b76d7585580e22f34f5e3f393"},
@@ -1066,7 +1233,6 @@ 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 = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
     {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -1082,7 +1248,6 @@ description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1095,7 +1260,6 @@ description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "langchain-0.2.17-py3-none-any.whl", hash = "sha256:a97a33e775f8de074370aecab95db148b879c794695d9e443c95457dce5eb525"},
     {file = "langchain-0.2.17.tar.gz", hash = "sha256:5a99ce94aae05925851777dba45cbf2c475565d1e91cbe7d82c5e329d514627e"},
@@ -1124,7 +1288,6 @@ description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "langchain_core-0.2.43-py3-none-any.whl", hash = "sha256:619601235113298ebf8252a349754b7c28d3cf7166c7c922da24944b78a9363a"},
     {file = "langchain_core-0.2.43.tar.gz", hash = "sha256:42c2ef6adedb911f4254068b6adc9eb4c4075f6c8cb3d83590d3539a815695f5"},
@@ -1149,7 +1312,6 @@ description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "langchain_openai-0.1.25-py3-none-any.whl", hash = "sha256:f0b34a233d0d9cb8fce6006c903e57085c493c4f0e32862b99063b96eaedb109"},
     {file = "langchain_openai-0.1.25.tar.gz", hash = "sha256:eb116f744f820247a72f54313fb7c01524fba0927120d4e899e5e4ab41ad3928"},
@@ -1167,7 +1329,6 @@ description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "langchain_text_splitters-0.2.4-py3-none-any.whl", hash = "sha256:2702dee5b7cbdd595ccbe43b8d38d01a34aa8583f4d6a5a68ad2305ae3e7b645"},
     {file = "langchain_text_splitters-0.2.4.tar.gz", hash = "sha256:f7daa7a3b0aa8309ce248e2e2b6fc8115be01118d336c7f7f7dfacda0e89bf29"},
@@ -1183,7 +1344,6 @@ description = "Client library to connect to the LangSmith LLM Tracing and Evalua
 optional = false
 python-versions = "<4.0,>=3.8.1"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
     {file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
@@ -1208,8 +1368,7 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
+groups = ["main", "dev"]
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -1281,7 +1440,6 @@ description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -1294,7 +1452,6 @@ description = "multidict implementation"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -1400,7 +1557,6 @@ description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "mypy-1.18.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c1eab0cf6294dafe397c261a75f96dc2c31bffe3b944faa24db5def4e2b0f77c"},
     {file = "mypy-1.18.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7a780ca61fc239e4865968ebc5240bb3bf610ef59ac398de9a7421b54e4a207e"},
@@ -1462,7 +1618,6 @@ description = "Type system extensions for programs checked with the mypy type ch
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 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"},
@@ -1475,7 +1630,6 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 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"},
@@ -1522,7 +1676,6 @@ description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "openai-1.59.7-py3-none-any.whl", hash = "sha256:cfa806556226fa96df7380ab2e29814181d56fea44738c2b0e581b462c268692"},
     {file = "openai-1.59.7.tar.gz", hash = "sha256:043603def78c00befb857df9f0a16ee76a3af5984ba40cb7ee5e2f40db4646bf"},
@@ -1549,7 +1702,6 @@ description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_api-1.38.0-py3-none-any.whl", hash = "sha256:2891b0197f47124454ab9f0cf58f3be33faca394457ac3e09daba13ff50aa582"},
     {file = "opentelemetry_api-1.38.0.tar.gz", hash = "sha256:f4c193b5e8acb0912b06ac5b16321908dd0843d75049c091487322284a3eea12"},
@@ -1566,7 +1718,6 @@ description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_exporter_otlp_proto_common-1.38.0-py3-none-any.whl", hash = "sha256:03cb76ab213300fe4f4c62b7d8f17d97fcfd21b89f0b5ce38ea156327ddda74a"},
     {file = "opentelemetry_exporter_otlp_proto_common-1.38.0.tar.gz", hash = "sha256:e333278afab4695aa8114eeb7bf4e44e65c6607d54968271a249c180b2cb605c"},
@@ -1582,7 +1733,6 @@ description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.38.0-py3-none-any.whl", hash = "sha256:7c49fd9b4bd0dbe9ba13d91f764c2d20b0025649a6e4ac35792fb8d84d764bc7"},
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.38.0.tar.gz", hash = "sha256:2473935e9eac71f401de6101d37d6f3f0f1831db92b953c7dcc912536158ebd6"},
@@ -1607,7 +1757,6 @@ description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_exporter_otlp_proto_http-1.38.0-py3-none-any.whl", hash = "sha256:84b937305edfc563f08ec69b9cb2298be8188371217e867c1854d77198d0825b"},
     {file = "opentelemetry_exporter_otlp_proto_http-1.38.0.tar.gz", hash = "sha256:f16bd44baf15cbe07633c5112ffc68229d0edbeac7b37610be0b2def4e21e90b"},
@@ -1629,7 +1778,6 @@ description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Py
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_instrumentation-0.59b0-py3-none-any.whl", hash = "sha256:44082cc8fe56b0186e87ee8f7c17c327c4c2ce93bdbe86496e600985d74368ee"},
     {file = "opentelemetry_instrumentation-0.59b0.tar.gz", hash = "sha256:6010f0faaacdaf7c4dff8aac84e226d23437b331dcda7e70367f6d73a7db1adc"},
@@ -1643,12 +1791,11 @@ wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-agno"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Agno instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1667,12 +1814,11 @@ url = "../opentelemetry-instrumentation-agno"
 
 [[package]]
 name = "opentelemetry-instrumentation-alephalpha"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Aleph Alpha instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1691,12 +1837,11 @@ url = "../opentelemetry-instrumentation-alephalpha"
 
 [[package]]
 name = "opentelemetry-instrumentation-anthropic"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Anthropic instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1715,12 +1860,11 @@ url = "../opentelemetry-instrumentation-anthropic"
 
 [[package]]
 name = "opentelemetry-instrumentation-bedrock"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Bedrock instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1738,12 +1882,11 @@ url = "../opentelemetry-instrumentation-bedrock"
 
 [[package]]
 name = "opentelemetry-instrumentation-chromadb"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Chroma DB instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1762,12 +1905,11 @@ url = "../opentelemetry-instrumentation-chromadb"
 
 [[package]]
 name = "opentelemetry-instrumentation-cohere"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Cohere instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1786,12 +1928,11 @@ url = "../opentelemetry-instrumentation-cohere"
 
 [[package]]
 name = "opentelemetry-instrumentation-crewai"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry crewAI instrumentation"
 optional = false
 python-versions = ">=3.10,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1810,12 +1951,11 @@ url = "../opentelemetry-instrumentation-crewai"
 
 [[package]]
 name = "opentelemetry-instrumentation-google-generativeai"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Google Generative AI instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1834,12 +1974,11 @@ url = "../opentelemetry-instrumentation-google-generativeai"
 
 [[package]]
 name = "opentelemetry-instrumentation-groq"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Groq instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1858,12 +1997,11 @@ url = "../opentelemetry-instrumentation-groq"
 
 [[package]]
 name = "opentelemetry-instrumentation-haystack"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Haystack instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1882,12 +2020,11 @@ url = "../opentelemetry-instrumentation-haystack"
 
 [[package]]
 name = "opentelemetry-instrumentation-lancedb"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Lancedb instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1906,12 +2043,11 @@ url = "../opentelemetry-instrumentation-lancedb"
 
 [[package]]
 name = "opentelemetry-instrumentation-langchain"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Langchain instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1930,12 +2066,11 @@ url = "../opentelemetry-instrumentation-langchain"
 
 [[package]]
 name = "opentelemetry-instrumentation-llamaindex"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry LlamaIndex instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1961,7 +2096,6 @@ description = "OpenTelemetry Logging instrumentation"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_instrumentation_logging-0.59b0-py3-none-any.whl", hash = "sha256:fdd4eddbd093fc421df8f7d356ecb15b320a1f3396b56bce5543048a5c457eea"},
     {file = "opentelemetry_instrumentation_logging-0.59b0.tar.gz", hash = "sha256:1b51116444edc74f699daf9002ded61529397100c9bc903c8b9aaa75a5218c76"},
@@ -1973,12 +2107,11 @@ opentelemetry-instrumentation = "0.59b0"
 
 [[package]]
 name = "opentelemetry-instrumentation-marqo"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Marqo instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -1997,12 +2130,11 @@ url = "../opentelemetry-instrumentation-marqo"
 
 [[package]]
 name = "opentelemetry-instrumentation-mcp"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry mcp instrumentation"
 optional = false
 python-versions = ">=3.10,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2021,12 +2153,11 @@ url = "../opentelemetry-instrumentation-mcp"
 
 [[package]]
 name = "opentelemetry-instrumentation-milvus"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Milvus instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2045,12 +2176,11 @@ url = "../opentelemetry-instrumentation-milvus"
 
 [[package]]
 name = "opentelemetry-instrumentation-mistralai"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Mistral AI instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2069,12 +2199,11 @@ url = "../opentelemetry-instrumentation-mistralai"
 
 [[package]]
 name = "opentelemetry-instrumentation-ollama"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Ollama instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2093,12 +2222,11 @@ url = "../opentelemetry-instrumentation-ollama"
 
 [[package]]
 name = "opentelemetry-instrumentation-openai"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry OpenAI instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2117,12 +2245,11 @@ url = "../opentelemetry-instrumentation-openai"
 
 [[package]]
 name = "opentelemetry-instrumentation-openai-agents"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry OpenAI Agents instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2141,12 +2268,11 @@ url = "../opentelemetry-instrumentation-openai-agents"
 
 [[package]]
 name = "opentelemetry-instrumentation-pinecone"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Pinecone instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2165,12 +2291,11 @@ url = "../opentelemetry-instrumentation-pinecone"
 
 [[package]]
 name = "opentelemetry-instrumentation-qdrant"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Qdrant instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2194,7 +2319,6 @@ description = "OpenTelemetry Redis instrumentation"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_instrumentation_redis-0.59b0-py3-none-any.whl", hash = "sha256:8f7494dede5a6bfe5d8f20da67b371a502883398081856378380efef27da0bdf"},
     {file = "opentelemetry_instrumentation_redis-0.59b0.tar.gz", hash = "sha256:d7f1c7c55ab57e10e0155c4c65d028a7e436aec7ccc7ccbf1d77e8cd12b55abd"},
@@ -2211,12 +2335,11 @@ instruments = ["redis (>=2.6)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-replicate"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Replicate instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2240,7 +2363,6 @@ description = "OpenTelemetry requests instrumentation"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_instrumentation_requests-0.59b0-py3-none-any.whl", hash = "sha256:d43121532877e31a46c48649279cec2504ee1e0ceb3c87b80fe5ccd7eafc14c1"},
     {file = "opentelemetry_instrumentation_requests-0.59b0.tar.gz", hash = "sha256:9af2ffe3317f03074d7f865919139e89170b6763a0251b68c25e8e64e04b3400"},
@@ -2257,12 +2379,11 @@ instruments = ["requests (>=2.0,<3.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-sagemaker"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry SageMaker instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2283,7 +2404,6 @@ description = "OpenTelemetry SQLAlchemy instrumentation"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_instrumentation_sqlalchemy-0.59b0-py3-none-any.whl", hash = "sha256:4ef150c49b6d1a8a7328f9d23ff40c285a245b88b0875ed2e5d277a40aa921c8"},
     {file = "opentelemetry_instrumentation_sqlalchemy-0.59b0.tar.gz", hash = "sha256:7647b1e63497deebd41f9525c414699e0d49f19efcadc8a0642b715897f62d32"},
@@ -2306,7 +2426,6 @@ description = "Thread context propagation support for OpenTelemetry"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_instrumentation_threading-0.59b0-py3-none-any.whl", hash = "sha256:76da2fc01fe1dccebff6581080cff9e42ac7b27cc61eb563f3c4435c727e8eca"},
     {file = "opentelemetry_instrumentation_threading-0.59b0.tar.gz", hash = "sha256:ce5658730b697dcbc0e0d6d13643a69fd8aeb1b32fa8db3bade8ce114c7975f3"},
@@ -2319,12 +2438,11 @@ wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-together"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Together AI instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2343,12 +2461,11 @@ url = "../opentelemetry-instrumentation-together"
 
 [[package]]
 name = "opentelemetry-instrumentation-transformers"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry transformers instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2369,7 +2486,6 @@ description = "OpenTelemetry urllib3 instrumentation"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_instrumentation_urllib3-0.59b0-py3-none-any.whl", hash = "sha256:a68c363092cf5db8c67c5778dbb2e4a14554e77baf7d276c374ea75ec926e148"},
     {file = "opentelemetry_instrumentation_urllib3-0.59b0.tar.gz", hash = "sha256:2de8d53a746bba043be1bc8f3246e1b131ebb6e94fe73601edd8b2bd91fe35b8"},
@@ -2387,12 +2503,11 @@ instruments = ["urllib3 (>=1.0.0,<3.0.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-vertexai"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Vertex AI instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2411,12 +2526,11 @@ url = "../opentelemetry-instrumentation-vertexai"
 
 [[package]]
 name = "opentelemetry-instrumentation-watsonx"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry IBM Watsonx Instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2435,12 +2549,11 @@ url = "../opentelemetry-instrumentation-watsonx"
 
 [[package]]
 name = "opentelemetry-instrumentation-weaviate"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Weaviate instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2459,12 +2572,11 @@ url = "../opentelemetry-instrumentation-weaviate"
 
 [[package]]
 name = "opentelemetry-instrumentation-writer"
-version = "0.49.2"
+version = "0.50.1"
 description = "OpenTelemetry Writer instrumentation"
 optional = false
 python-versions = ">=3.10,<4"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = []
 develop = true
 
@@ -2488,7 +2600,6 @@ description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_proto-1.38.0-py3-none-any.whl", hash = "sha256:b6ebe54d3217c42e45462e2a1ae28c3e2bf2ec5a5645236a490f55f45f1a0a18"},
     {file = "opentelemetry_proto-1.38.0.tar.gz", hash = "sha256:88b161e89d9d372ce723da289b7da74c3a8354a8e5359992be813942969ed468"},
@@ -2504,7 +2615,6 @@ description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_sdk-1.38.0-py3-none-any.whl", hash = "sha256:1c66af6564ecc1553d72d811a01df063ff097cdc82ce188da9951f93b8d10f6b"},
     {file = "opentelemetry_sdk-1.38.0.tar.gz", hash = "sha256:93df5d4d871ed09cb4272305be4d996236eedb232253e3ab864c8620f051cebe"},
@@ -2522,7 +2632,6 @@ description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_semantic_conventions-0.59b0-py3-none-any.whl", hash = "sha256:35d3b8833ef97d614136e253c1da9342b4c3c083bbaf29ce31d572a1c3825eed"},
     {file = "opentelemetry_semantic_conventions-0.59b0.tar.gz", hash = "sha256:7a6db3f30d70202d5bf9fa4b69bc866ca6a30437287de6c510fb594878aed6b0"},
@@ -2539,7 +2648,6 @@ description = "OpenTelemetry Semantic Conventions Extension for Large Language M
 optional = false
 python-versions = "<4,>=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_semantic_conventions_ai-0.4.13-py3-none-any.whl", hash = "sha256:883a30a6bb5deaec0d646912b5f9f6dcbb9f6f72557b73d0f2560bf25d13e2d5"},
     {file = "opentelemetry_semantic_conventions_ai-0.4.13.tar.gz", hash = "sha256:94efa9fb4ffac18c45f54a3a338ffeb7eedb7e1bb4d147786e77202e159f0036"},
@@ -2552,7 +2660,6 @@ description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "opentelemetry_util_http-0.59b0-py3-none-any.whl", hash = "sha256:6d036a07563bce87bf521839c0671b507a02a0d39d7ea61b88efa14c6e25355d"},
     {file = "opentelemetry_util_http-0.59b0.tar.gz", hash = "sha256:ae66ee91be31938d832f3b4bc4eb8a911f6eddd38969c4a871b1230db2a0a560"},
@@ -2651,7 +2758,6 @@ description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -2664,7 +2770,6 @@ description = "Powerful data structures for data analysis, time series, and stat
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pandas-2.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:22c2e866f7209ebc3a8f08d75766566aae02bcc91d196935a1d9e59c7b990ac9"},
     {file = "pandas-2.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3583d348546201aff730c8c47e49bc159833f971c2899d6097bce68b9112a4f1"},
@@ -2752,7 +2857,6 @@ description = "Type annotations for pandas"
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pandas_stubs-2.3.2.250926-py3-none-any.whl", hash = "sha256:81121818453dcfe00f45c852f4dceee043640b813830f6e7bd084a4ef7ff7270"},
     {file = "pandas_stubs-2.3.2.250926.tar.gz", hash = "sha256:c64b9932760ceefb96a3222b953e6a251321a9832a28548be6506df473a66406"},
@@ -2769,12 +2873,28 @@ description = "Utility library for gitignore style pattern matching of file path
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
 ]
 
+[[package]]
+name = "platformdirs"
+version = "4.5.1"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
+optional = false
+python-versions = ">=3.10"
+groups = ["dev"]
+files = [
+    {file = "platformdirs-4.5.1-py3-none-any.whl", hash = "sha256:d03afa3963c806a9bed9d5125c8f4cb2fdaf74a55ab60e5d59b3fde758104d31"},
+    {file = "platformdirs-4.5.1.tar.gz", hash = "sha256:61d5cdcc6065745cdd94f0f878977f8de9437be93de97c1c12f853c9c0cdcbda"},
+]
+
+[package.extras]
+docs = ["furo (>=2025.9.25)", "proselint (>=0.14)", "sphinx (>=8.2.3)", "sphinx-autodoc-typehints (>=3.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.4.2)", "pytest-cov (>=7)", "pytest-mock (>=3.15.1)"]
+type = ["mypy (>=1.18.2)"]
+
 [[package]]
 name = "pluggy"
 version = "1.5.0"
@@ -2782,7 +2902,6 @@ description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2799,7 +2918,6 @@ description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "propcache-0.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6b3f39a85d671436ee3d12c017f8fdea38509e4f25b28eb25877293c98c243f6"},
     {file = "propcache-0.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39d51fbe4285d5db5d92a929e3e21536ea3dd43732c5b177c7ef03f918dff9f2"},
@@ -2892,7 +3010,6 @@ description = ""
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "protobuf-5.29.3-cp310-abi3-win32.whl", hash = "sha256:3ea51771449e1035f26069c4c7fd51fba990d07bc55ba80701c78f886bf9c888"},
     {file = "protobuf-5.29.3-cp310-abi3-win_amd64.whl", hash = "sha256:a4fa6f80816a9a0678429e84973f2f98cbc218cca434abe8db2ad0bffc98503a"},
@@ -2914,7 +3031,6 @@ description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -2926,8 +3042,7 @@ version = "2.10.5"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
+groups = ["main", "dev", "test"]
 files = [
     {file = "pydantic-2.10.5-py3-none-any.whl", hash = "sha256:4dd4e322dbe55472cb7ca7e73f4b63574eecccf2835ffa2af9021ce113c83c53"},
     {file = "pydantic-2.10.5.tar.gz", hash = "sha256:278b38dbbaec562011d659ee05f63346951b3a248a6f3642e1bc68894ea2b4ff"},
@@ -2935,6 +3050,7 @@ files = [
 
 [package.dependencies]
 annotated-types = ">=0.6.0"
+email-validator = {version = ">=2.0.0", optional = true, markers = "extra == \"email\""}
 pydantic-core = "2.27.2"
 typing-extensions = ">=4.12.2"
 
@@ -2948,8 +3064,7 @@ version = "2.27.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
+groups = ["main", "dev", "test"]
 files = [
     {file = "pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa"},
     {file = "pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c"},
@@ -3063,7 +3178,6 @@ description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
     {file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
@@ -3076,7 +3190,6 @@ description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"},
     {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"},
@@ -3100,7 +3213,6 @@ description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pytest_asyncio-0.23.8-py3-none-any.whl", hash = "sha256:50265d892689a5faefb84df80819d1ecef566eb3549cf915dfb33569359d1ce2"},
     {file = "pytest_asyncio-0.23.8.tar.gz", hash = "sha256:759b10b33a6dc61cce40a8bd5205e302978bbbcc00e279a8b61d9a6a3c82e4d3"},
@@ -3120,7 +3232,6 @@ description = "A pytest plugin that allows you recording of network interactions
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pytest_recording-0.13.2-py3-none-any.whl", hash = "sha256:3820fe5743d1ac46e807989e11d073cb776a60bdc544cf43ebca454051b22d13"},
     {file = "pytest_recording-0.13.2.tar.gz", hash = "sha256:000c3babbb466681457fd65b723427c1779a0c6c17d9e381c3142a701e124877"},
@@ -3141,7 +3252,6 @@ description = "pytest-sugar is a plugin for pytest that changes the default look
 optional = false
 python-versions = "*"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pytest-sugar-1.0.0.tar.gz", hash = "sha256:6422e83258f5b0c04ce7c632176c7732cab5fdb909cb39cca5c9139f81276c0a"},
     {file = "pytest_sugar-1.0.0-py3-none-any.whl", hash = "sha256:70ebcd8fc5795dc457ff8b69d266a4e2e8a74ae0c3edc749381c64b5246c8dfd"},
@@ -3162,7 +3272,6 @@ description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 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"},
@@ -3171,6 +3280,21 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "pytokens"
+version = "0.3.0"
+description = "A Fast, spec compliant Python 3.14+ tokenizer that runs on older Pythons."
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+files = [
+    {file = "pytokens-0.3.0-py3-none-any.whl", hash = "sha256:95b2b5eaf832e469d141a378872480ede3f251a5a5041b8ec6e581d3ac71bbf3"},
+    {file = "pytokens-0.3.0.tar.gz", hash = "sha256:2f932b14ed08de5fcf0b391ace2642f858f1394c0857202959000b68ed7a458a"},
+]
+
+[package.extras]
+dev = ["black", "build", "mypy", "pytest", "pytest-cov", "setuptools", "tox", "twine", "wheel"]
+
 [[package]]
 name = "pytz"
 version = "2025.2"
@@ -3178,7 +3302,6 @@ description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -3190,8 +3313,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
+groups = ["main", "dev", "test"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -3255,7 +3377,6 @@ description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -3360,7 +3481,6 @@ description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -3383,7 +3503,6 @@ 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 = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 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"},
@@ -3399,7 +3518,6 @@ description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -3412,7 +3530,6 @@ description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -3425,7 +3542,6 @@ description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "SQLAlchemy-2.0.37-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:da36c3b0e891808a7542c5c89f224520b9a16c7f5e4d6a1156955605e54aef0e"},
     {file = "SQLAlchemy-2.0.37-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e7402ff96e2b073a98ef6d6142796426d705addd27b9d26c3b32dbaa06d7d069"},
@@ -3522,7 +3638,6 @@ description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
     {file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
@@ -3539,7 +3654,6 @@ description = "ANSI color formatting for output in terminal"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "termcolor-2.5.0-py3-none-any.whl", hash = "sha256:37b17b5fc1e604945c2642c872a3764b5d547a48009871aea3edd3afa180afb8"},
     {file = "termcolor-2.5.0.tar.gz", hash = "sha256:998d8d27da6d48442e8e1f016119076b690d962507531df4890fcd2db2ef8a6f"},
@@ -3555,7 +3669,6 @@ description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "tiktoken-0.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b07e33283463089c81ef1467180e3e00ab00d46c2c4bbcef0acab5f771d6695e"},
     {file = "tiktoken-0.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9269348cb650726f44dd3bbb3f9110ac19a8dcc8f54949ad3ef652ca22a38e21"},
@@ -3604,7 +3717,6 @@ description = ""
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"},
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"},
@@ -3631,6 +3743,19 @@ dev = ["tokenizers[testing]"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
+[[package]]
+name = "toml"
+version = "0.10.2"
+description = "Python Library for Tom's Obvious, Minimal Language"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["dev"]
+markers = "python_version == \"3.10\""
+files = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
+    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
+]
+
 [[package]]
 name = "tomli"
 version = "2.2.1"
@@ -3638,7 +3763,7 @@ description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev", "test"]
-markers = "python_version < \"3.11\" and platform_python_implementation == \"PyPy\" or python_version == \"3.10\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -3681,7 +3806,6 @@ description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -3704,7 +3828,6 @@ description = "Typing stubs for colorama"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "types_colorama-0.4.15.20250801-py3-none-any.whl", hash = "sha256:b6e89bd3b250fdad13a8b6a465c933f4a5afe485ea2e2f104d739be50b13eea9"},
     {file = "types_colorama-0.4.15.20250801.tar.gz", hash = "sha256:02565d13d68963d12237d3f330f5ecd622a3179f7b5b14ee7f16146270c357f5"},
@@ -3717,7 +3840,6 @@ description = "Typing stubs for pytz"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "types_pytz-2025.2.0.20251108-py3-none-any.whl", hash = "sha256:0f1c9792cab4eb0e46c52f8845c8f77cf1e313cb3d68bf826aa867fe4717d91c"},
     {file = "types_pytz-2025.2.0.20251108.tar.gz", hash = "sha256:fca87917836ae843f07129567b74c1929f1870610681b4c92cb86a3df5817bdb"},
@@ -3775,7 +3897,6 @@ description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -3788,7 +3909,6 @@ description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -3838,7 +3958,6 @@ description = "Automatically mock your HTTP interactions to simplify and speed u
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "vcrpy-7.0.0-py2.py3-none-any.whl", hash = "sha256:55791e26c18daa363435054d8b35bd41a4ac441b6676167635d1b37a71dbe124"},
     {file = "vcrpy-7.0.0.tar.gz", hash = "sha256:176391ad0425edde1680c5b20738ea3dc7fb942520a48d2993448050986b3a50"},
@@ -3863,7 +3982,6 @@ description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"},
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"},
@@ -3953,7 +4071,6 @@ description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34"},
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7"},
@@ -4051,7 +4168,6 @@ description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
 files = [
     {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
     {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
@@ -4071,4 +4187,4 @@ datasets = []
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<4"
-content-hash = "16ac125b5109af187aa3e992c2e3b09154a6215bd9e0f202b6e687818ab964d6"
+content-hash = "8aca3eb79bb4564f07dcd538dfb49777f714a4b39faaa3de650608ef81838d3f"
diff --git a/packages/traceloop-sdk/pyproject.toml b/packages/traceloop-sdk/pyproject.toml
index 313f31328d..898cec8b63 100644
--- a/packages/traceloop-sdk/pyproject.toml
+++ b/packages/traceloop-sdk/pyproject.toml
@@ -83,6 +83,7 @@ mypy = "^1.18.2"
 types-requests = "^2.31.0"
 types-colorama = "^0.4.15"
 pandas-stubs = "*"
+datamodel-code-generator = "^0.26.0"
 
 [tool.poetry.group.test.dependencies]
 openai = "^1.31.1"
diff --git a/packages/traceloop-sdk/traceloop/sdk/evaluator/__init__.py b/packages/traceloop-sdk/traceloop/sdk/evaluator/__init__.py
index b1233374b8..618c701c3c 100644
--- a/packages/traceloop-sdk/traceloop/sdk/evaluator/__init__.py
+++ b/packages/traceloop-sdk/traceloop/sdk/evaluator/__init__.py
@@ -1,9 +1,10 @@
 from .evaluator import Evaluator
 from .config import EvaluatorDetails
-from .evaluators_made_by_traceloop import EvaluatorMadeByTraceloop
+from .evaluators_made_by_traceloop import EvaluatorMadeByTraceloop, create_evaluator
 
 __all__ = [
     "Evaluator",
     "EvaluatorDetails",
     "EvaluatorMadeByTraceloop",
+    "create_evaluator",
 ]
diff --git a/packages/traceloop-sdk/traceloop/sdk/evaluator/evaluator.py b/packages/traceloop-sdk/traceloop/sdk/evaluator/evaluator.py
index dd30718cfb..6fa72d0f3d 100644
--- a/packages/traceloop-sdk/traceloop/sdk/evaluator/evaluator.py
+++ b/packages/traceloop-sdk/traceloop/sdk/evaluator/evaluator.py
@@ -1,5 +1,6 @@
 import httpx
 from typing import Dict, Optional, Any, List
+from pydantic import ValidationError
 from .field_mapping import normalize_task_output, get_field_suggestions, format_field_help
 
 from .model import (
@@ -11,6 +12,25 @@
 )
 from .stream_client import SSEClient
 from .config import EvaluatorDetails
+from ..generated.evaluators import get_request_model
+
+
+def _validate_evaluator_input(slug: str, input: Dict[str, str]) -> None:
+    """Validate input against the evaluator's request model if available.
+
+    Args:
+        slug: The evaluator slug (e.g., "pii-detector")
+        input: Dictionary of input field names to values
+
+    Raises:
+        ValueError: If input fails validation against the request model
+    """
+    request_model = get_request_model(slug)
+    if request_model:
+        try:
+            request_model(**input)
+        except ValidationError as e:
+            raise ValueError(f"Invalid input for '{slug}': {e}") from e
 
 
 class Evaluator:
@@ -94,6 +114,8 @@ async def run_experiment_evaluator(
         Returns:
             ExecutionResponse: The evaluation result from SSE stream
         """
+        _validate_evaluator_input(evaluator_slug, input)
+
         request = self._build_evaluator_request(
             task_id, experiment_id, experiment_run_id, input, evaluator_version, evaluator_config
         )
@@ -136,6 +158,8 @@ async def trigger_experiment_evaluator(
         Returns:
             str: The execution_id that can be used to check results later
         """
+        _validate_evaluator_input(evaluator_slug, input)
+
         request = self._build_evaluator_request(
             task_id, experiment_id, experiment_run_id, input, evaluator_version, evaluator_config
         )
diff --git a/packages/traceloop-sdk/traceloop/sdk/evaluator/evaluators_made_by_traceloop.py b/packages/traceloop-sdk/traceloop/sdk/evaluator/evaluators_made_by_traceloop.py
index 8887bf86be..75c2da1931 100644
--- a/packages/traceloop-sdk/traceloop/sdk/evaluator/evaluators_made_by_traceloop.py
+++ b/packages/traceloop-sdk/traceloop/sdk/evaluator/evaluators_made_by_traceloop.py
@@ -1,729 +1,120 @@
-from typing import Optional, Dict, Any, List
-from .config import EvaluatorDetails
-
-
-class EvaluatorMadeByTraceloop:
-    """
-    Factory class for creating made by traceloop evaluators with proper configuration.
-
-    This class provides easy-to-use factory methods for all made by traceloop evaluators,
-    with type hints and documentation for their configuration options.
-
-    Example:
-        >>> from traceloop.sdk.evaluator import EvaluatorMadeByTraceloop
-        >>>
-        >>> evaluators = [
-        ...     EvaluatorMadeByTraceloop.pii_detector(probability_threshold=0.8),
-        ...     EvaluatorMadeByTraceloop.toxicity_detector(threshold=0.7),
-        ... ]
-    """
-
-    @staticmethod
-    def pii_detector(
-        probability_threshold: float = 0.5,
-    ) -> EvaluatorDetails:
-        """
-        PII (Personally Identifiable Information) detector evaluator.
-
-        Required task output fields:
-            - text: The text to check for PII
-
-        Args:
-            probability_threshold: Minimum probability threshold for detecting PII (0.0-1.0)
-
-        Returns:
-            EvaluatorDetails configured for PII detection
-        """
-        config: Dict[str, Any] = {"probability_threshold": probability_threshold}
-        return EvaluatorDetails(slug="pii-detector", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def toxicity_detector(
-        threshold: float = 0.5,
-    ) -> EvaluatorDetails:
-        """
-        Toxicity detector evaluator.
-
-        Required task output fields:
-            - text: The text to check for toxicity
-
-        Args:
-            threshold: Minimum toxicity threshold for flagging content (0.0-1.0)
-
-        Returns:
-            EvaluatorDetails configured for toxicity detection
-        """
-        config: Dict[str, Any] = {"threshold": threshold}
-
-        return EvaluatorDetails(slug="toxicity-detector", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def prompt_injection(
-        threshold: float = 0.5,
-    ) -> EvaluatorDetails:
-        """
-        Prompt injection detector evaluator.
-
-        Required task output fields:
-            - prompt: The prompt to check for prompt injection attempts
-
-        Args:
-            threshold: Minimum threshold for detecting prompt injection attempts (0.0-1.0)
-
-        Returns:
-            EvaluatorDetails configured for prompt injection detection
-        """
-        config: Dict[str, Any] = {"threshold": threshold}
-        return EvaluatorDetails(slug="prompt-injection", version=None, config=config, required_input_fields=["prompt"])
-
-    @staticmethod
-    def regex_validator(
-        regex: str,
-        should_match: bool = True,
-        case_sensitive: bool = True,
-        dot_include_nl: bool = False,
-        multi_line: bool = False,
-    ) -> EvaluatorDetails:
-        """
-        Regular expression validator evaluator.
-
-        Required task output fields:
-            - text: The text to validate against the regex pattern
-
-        Args:
-            regex: The regular expression pattern to match against
-            should_match: If True, pass when pattern matches; if False, pass when pattern doesn't match
-            case_sensitive: Whether the regex matching should be case-sensitive
-            dot_include_nl: Whether the dot (.) should match newline characters
-            multi_line: Whether to enable multi-line mode (^ and $ match line boundaries)
-
-        Returns:
-            EvaluatorDetails configured for regex validation
-        """
-        config: Dict[str, Any] = {
-            "regex": regex,
-            "should_match": should_match,
-            "case_sensitive": case_sensitive,
-            "dot_include_nl": dot_include_nl,
-            "multi_line": multi_line,
-        }
-
-        return EvaluatorDetails(slug="regex-validator", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def json_validator(
-        enable_schema_validation: bool = False,
-        schema_string: Optional[str] = None,
-    ) -> EvaluatorDetails:
-        """
-        JSON validator evaluator.
-
-        Required task output fields:
-            - text: The JSON text to validate
-
-        Args:
-            enable_schema_validation: Whether to validate against a JSON schema
-            schema_string: JSON schema string to validate against (required if enable_schema_validation is True)
-
-        Returns:
-            EvaluatorDetails configured for JSON validation
-        """
-        config: Dict[str, Any] = {
-            "enable_schema_validation": enable_schema_validation,
-        }
-        if schema_string:
-            config["schema_string"] = schema_string
-
-        return EvaluatorDetails(slug="json-validator", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def placeholder_regex(
-        regex: str,
-        placeholder_name: str,
-        should_match: bool = True,
-        case_sensitive: bool = True,
-        dot_include_nl: bool = False,
-        multi_line: bool = False,
-    ) -> EvaluatorDetails:
-        """
-        Placeholder regex evaluator - validates that placeholders match a regex pattern.
-
-        Required task output fields:
-            - text: The text to validate against the regex pattern
-            - placeholder_value: The value of the placeholder to validate
-
-        Args:
-            regex: The regular expression pattern to match against
-            placeholder_name: Name of the placeholder to validate
-            should_match: If True, pass when pattern matches; if False, pass when pattern doesn't match
-            case_sensitive: Whether the regex matching should be case-sensitive
-            dot_include_nl: Whether the dot (.) should match newline characters
-            multi_line: Whether to enable multi-line mode (^ and $ match line boundaries)
-
-        Returns:
-            EvaluatorDetails configured for placeholder regex validation
-        """
-        config: Dict[str, Any] = {
-            "regex": regex,
-            "placeholder_name": placeholder_name,
-            "should_match": should_match,
-            "case_sensitive": case_sensitive,
-            "dot_include_nl": dot_include_nl,
-            "multi_line": multi_line,
-        }
-
-        return EvaluatorDetails(
-            slug="placeholder-regex",
-            version=None,
-            config=config,
-            required_input_fields=["text", "placeholder_value"],
-        )
-
-    @staticmethod
-    def char_count(
-    ) -> EvaluatorDetails:
-        """
-        Character count evaluator - counts the number of characters in text.
-
-        Required task output fields:
-            - text: The text to count characters in
-
-        Returns:
-            EvaluatorDetails configured for character counting
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(slug="char-count", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def char_count_ratio(
-    ) -> EvaluatorDetails:
-        """
-        Character count ratio evaluator - measures the ratio of characters between two texts.
-
-        Required task output fields:
-            - numerator_text: The numerator text for ratio calculation
-            - denominator_text: The denominator text for ratio calculation
-
-        Returns:
-            EvaluatorDetails configured for character count ratio calculation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="char-count-ratio",
-            version=None,
-            config=config,
-            required_input_fields=["numerator_text", "denominator_text"],
-        )
-
-    @staticmethod
-    def word_count() -> EvaluatorDetails:
-        """
-        Word count evaluator - counts the number of words in text.
-
-        Required task output fields:
-            - text: The text to count words in
-
-        Returns:
-            EvaluatorDetails configured for word counting
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(slug="word-count", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def word_count_ratio(
-    ) -> EvaluatorDetails:
-        """
-        Word count ratio evaluator - measures the ratio of words between two texts.
-
-        Required task output fields:
-           - numerator_text: The numerator text for ratio calculation
-+          - denominator_text: The denominator text for ratio calculation
-
-        Returns:
-            EvaluatorDetails configured for word count ratio calculation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="word-count-ratio",
-            version=None,
-            config=config,
-            required_input_fields=["numerator_text", "denominator_text"],
-        )
-
-    @staticmethod
-    def answer_relevancy(
-    ) -> EvaluatorDetails:
-        """
-        Answer relevancy evaluator - verifies responses address the query.
-
-        Required task output fields:
-            - question: The input question
-            - answer: The answer to evaluate
-
-        Returns:
-            EvaluatorDetails configured for answer relevancy evaluation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="answer-relevancy",
-            version=None,
-            config=config,
-            required_input_fields=["question", "answer"],
-        )
-
-    @staticmethod
-    def faithfulness(
-    ) -> EvaluatorDetails:
-        """
-        Faithfulness evaluator - detects hallucinations and verifies facts.
-
-        Required task output fields:
-            - question: The input question
-            - completion: The completion to evaluate for faithfulness
-            - context: The context to verify against
-
-        Returns:
-            EvaluatorDetails configured for faithfulness evaluation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="faithfulness",
-            version=None,
-            config=config,
-            required_input_fields=["question", "completion", "context"],
-        )
-
-    @staticmethod
-    def context_relevance(
-    ) -> EvaluatorDetails:
-        """
-        Context relevance evaluator - validates context relevance.
-
-        Required task output fields:
-            - query: The user's query or question
-            - context: The retrieved context to evaluate for relevance
-
-        Returns:
-            EvaluatorDetails configured for context relevance evaluation
-        """
-        config: Dict[str, Any] = {}
+"""
+Factory class for creating Traceloop evaluators with proper configuration.
 
-        return EvaluatorDetails(
-            slug="context-relevance",
-            version=None,
-            config=config,
-            required_input_fields=["query", "context"],
-        )
+This module dynamically generates factory methods from the generated.evaluators registry.
+"""
 
-    @staticmethod
-    def profanity_detector() -> EvaluatorDetails:
-        """
-        Profanity detector evaluator - flags inappropriate language.
+from typing import Any, List
 
-        Required task output fields:
-            - text: The text to check for profanity
-
-        Returns:
-            EvaluatorDetails configured for profanity detection
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(slug="profanity-detector", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def sexism_detector(
-        threshold: float = 0.5,
-    ) -> EvaluatorDetails:
-        """
-        Sexism detector evaluator - detects sexist language and bias.
-
-        Required task output fields:
-            - text: The text to check for sexism
-
-        Args:
-            threshold: Minimum threshold for detecting sexism (0.0-1.0)
-
-        Returns:
-            EvaluatorDetails configured for sexism detection
-        """
-        config: Dict[str, Any] = {"threshold": threshold}
-
-        return EvaluatorDetails(slug="sexism-detector", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def secrets_detector(
-    ) -> EvaluatorDetails:
-        """
-        Secrets detector evaluator - monitors for credential and key leaks.
-
-        Required task output fields:
-            - text: The text to check for secrets
-
-        Returns:
-            EvaluatorDetails configured for secrets detection
-        """
-        config: Dict[str, Any] = {}
-        return EvaluatorDetails(slug="secrets-detector", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def sql_validator(
-    ) -> EvaluatorDetails:
-        """
-        SQL validator evaluator - validates SQL queries.
-
-        Required task output fields:
-            - text: The SQL query to validate
-
-        Returns:
-            EvaluatorDetails configured for SQL validation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(slug="sql-validator", version=None, config=config, required_input_fields=["text"])
-
-    @staticmethod
-    def semantic_similarity(
-    ) -> EvaluatorDetails:
-        """
-        Semantic similarity evaluator - measures semantic similarity between texts.
-
-        Required task output fields:
-            - completion: The completion text to compare
-            - reference: The reference text to compare against
-
-        Returns:
-            EvaluatorDetails configured for semantic similarity evaluation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="semantic-similarity",
-            version=None,
-            config=config,
-            required_input_fields=["completion", "reference"],
-        )
-
-    @staticmethod
-    def agent_goal_accuracy(
-    ) -> EvaluatorDetails:
-        """
-        Agent goal accuracy evaluator - validates agent goal achievement.
-
-        Required task output fields:
-            - question: The input question or goal
-            - completion: The agent's completion
-            - reference: The reference answer or goal
-
-        Returns:
-            EvaluatorDetails configured for agent goal accuracy evaluation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="agent-goal-accuracy",
-            version=None,
-            config=config,
-            required_input_fields=["question", "completion", "reference"],
-        )
-
-    @staticmethod
-    def topic_adherence(
-    ) -> EvaluatorDetails:
-        """
-        Topic adherence evaluator - validates topic adherence.
-
-        Required task output fields:
-            - question: The input question or goal
-            - completion: The completion text to evaluate
-            - reference_topics: The expected topic or topics
-
-        Returns:
-            EvaluatorDetails configured for topic adherence evaluation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="topic-adherence",
-            version=None,
-            config=config,
-            required_input_fields=["question", "completion", "reference_topics"],
-        )
-
-    @staticmethod
-    def perplexity(
-    ) -> EvaluatorDetails:
-        """
-        Perplexity evaluator - measures text perplexity from prompt.
-
-        Required task output fields:
-            - prompt: The prompt to measure perplexity for
-
-        Returns:
-            EvaluatorDetails configured for perplexity measurement
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="perplexity",
-            version=None,
-            config=config,
-            required_input_fields=["prompt"],
-        )
-
-    @staticmethod
-    def answer_completeness(
-    ) -> EvaluatorDetails:
-        """
-        Answer completeness evaluator - measures how completely responses use relevant context.
-
-        Required task output fields:
-            - question: The input question
-            - completion: The completion to evaluate
-            - context: The context to evaluate against
-
-        Returns:
-            EvaluatorDetails configured for answer completeness evaluation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="answer-completeness",
-            version=None,
-            config=config,
-            required_input_fields=["question", "completion", "context"],
-        )
-
-    @staticmethod
-    def answer_correctness(
-    ) -> EvaluatorDetails:
-        """
-        Answer correctness evaluator - evaluates factual accuracy by comparing answers against ground truth.
-
-        Required task output fields:
-            - question: The input question
-            - completion: The completion to evaluate
-            - ground_truth: The ground truth answer
-
-        Returns:
-            EvaluatorDetails configured for answer correctness evaluation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="answer-correctness",
-            version=None,
-            config=config,
-            required_input_fields=["question", "completion", "ground_truth"],
-        )
-
-    @staticmethod
-    def uncertainty_detector(
-    ) -> EvaluatorDetails:
-        """
-        Uncertainty detector evaluator - generates responses and measures model uncertainty from logprobs.
-
-        Required task output fields:
-            - prompt: The prompt to evaluate uncertainty for
-
-        Returns:
-            EvaluatorDetails configured for uncertainty detection
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="uncertainty-detector",
-            version=None,
-            config=config,
-            required_input_fields=["prompt"],
-        )
-
-    @staticmethod
-    def agent_tool_error_detector(
-    ) -> EvaluatorDetails:
-        """
-        Agent tool error detector evaluator - detects errors or failures during tool execution.
-
-        Required task output fields:
-            - tool_input: The input parameters passed to the tool
-            - tool_output: The output or response from the tool execution
-
-        Returns:
-            EvaluatorDetails configured for agent tool error detection
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="agent-tool-error-detector",
-            version=None,
-            config=config,
-            required_input_fields=["tool_input", "tool_output"],
-        )
-
-    @staticmethod
-    def agent_flow_quality(
-        threshold: float = 0.5,
-        conditions: List[str] = [],
-    ) -> EvaluatorDetails:
-        """
-        Agent flow quality evaluator - validates agent trajectories against user-defined natural language tests.
-
-        Required task output fields:
-            - trajectory_prompts: The prompts extracted from the span attributes (llm.prompts.*)
-            - trajectory_completions: The completions extracted from the span attributes (llm.completions.*)
-        Args:
-            threshold: Minimum threshold for detecting tool errors (0.0-1.0)
-            conditions: List of conditions in natural language to evaluate the agent flow quality against
-
-        Returns:
-            EvaluatorDetails configured for agent flow quality evaluation
-        """
-        config: Dict[str, Any] = {
-            "threshold": threshold,
-            "conditions": conditions,
-        }
-
-        return EvaluatorDetails(
-            slug="agent-flow-quality",
-            version=None,
-            config=config,
-            required_input_fields=["trajectory_prompts", "trajectory_completions"],
-        )
-
-    @staticmethod
-    def agent_efficiency(
-    ) -> EvaluatorDetails:
-        """
-        Agent efficiency evaluator - evaluates agent efficiency by checking for redundant calls and optimal paths.
-
-        Required task output fields:
-            - trajectory_prompts: The prompts extracted from the span attributes (llm.prompts.*)
-            - trajectory_completions: The completions extracted from the span attributes (llm.completions.*)
-
-        Returns:
-            EvaluatorDetails configured for agent efficiency evaluation
-        """
-        config: Dict[str, Any] = {}
-
-        return EvaluatorDetails(
-            slug="agent-efficiency",
-            version=None,
-            config=config,
-            required_input_fields=["trajectory_prompts", "trajectory_completions"],
-        )
-
-    @staticmethod
-    def agent_goal_completeness(
-    ) -> EvaluatorDetails:
-        """
-        Agent goal completeness evaluator - measures whether the agent successfully accomplished all user goals.
-
-        Required task output fields:
-            - trajectory_prompts: The prompts extracted from the span attributes (llm.prompts.*)
-            - trajectory_completions: The completions extracted from the span attributes (llm.completions.*)
-
-        Returns:
-            EvaluatorDetails configured for agent goal completeness evaluation
-        """
-        config: Dict[str, Any] = {}
+from ..generated.evaluators import REQUEST_MODELS
+from .config import EvaluatorDetails
 
-        return EvaluatorDetails(
-            slug="agent-goal-completeness",
-            version=None,
-            config=config,
-            required_input_fields=["trajectory_prompts", "trajectory_completions"],
-        )
 
-    @staticmethod
-    def instruction_adherence(
-    ) -> EvaluatorDetails:
-        """
-        Instruction adherence evaluator - measures how well the LLM response follows given instructions.
+def _get_required_fields(slug: str) -> List[str]:
+    """Get required input fields for an evaluator from its request model."""
+    model = REQUEST_MODELS.get(slug)
+    if not model:
+        return []
+    return [name for name, field in model.model_fields.items() if field.is_required()]
 
-        Required task output fields:
-            - instructions: The instructions to evaluate against
-            - response: The response to evaluate
 
-        Returns:
-            EvaluatorDetails configured for instruction adherence evaluation
-        """
-        config: Dict[str, Any] = {}
+def _get_config_fields(slug: str) -> dict:
+    """Get config fields (non-required) with their defaults from the request model."""
+    model = REQUEST_MODELS.get(slug)
+    if not model:
+        return {}
+    config_fields = {}
+    for name, field in model.model_fields.items():
+        if not field.is_required():
+            config_fields[name] = field.default
+    return config_fields
 
-        return EvaluatorDetails(
-            slug="instruction-adherence",
-            version=None,
-            config=config,
-            required_input_fields=["instructions", "response"],
-        )
 
-    @staticmethod
-    def conversation_quality(
-    ) -> EvaluatorDetails:
-        """
-        Conversation quality evaluator - evaluates conversation quality based on tone,
-        clarity, flow, responsiveness, and transparency.
+def _slug_to_method_name(slug: str) -> str:
+    """Convert slug like 'pii-detector' to method name like 'pii_detector'."""
+    return slug.replace("-", "_")
 
-        Required task output fields:
-            - prompts: The conversation prompts (flattened dict with llm.prompts.X.content/role)
-            - completions: The conversation completions (flattened dict with llm.completions.X.content/role)
 
-        Returns:
-            EvaluatorDetails configured for conversation quality evaluation
-        """
-        config: Dict[str, Any] = {}
+def _method_name_to_slug(method_name: str) -> str:
+    """Convert method name like 'pii_detector' to slug like 'pii-detector'."""
+    return method_name.replace("_", "-")
 
-        return EvaluatorDetails(
-            slug="conversation-quality",
-            version=None,
-            config=config,
-            required_input_fields=["prompts", "completions"],
-        )
 
-    @staticmethod
-    def intent_change(
-    ) -> EvaluatorDetails:
-        """
-        Intent change evaluator - detects whether the user's primary intent or workflow
-        changed significantly during a conversation.
+def create_evaluator(slug: str, **config: Any) -> EvaluatorDetails:
+    """Create an EvaluatorDetails for the given slug with optional config.
 
-        Required task output fields:
-            - prompts: The conversation prompts (flattened dict with llm.prompts.X.content/role)
-            - completions: The conversation completions (flattened dict with llm.completions.X.content/role)
+    Args:
+        slug: The evaluator slug (e.g., "pii-detector")
+        **config: Configuration options for the evaluator
 
-        Returns:
-            EvaluatorDetails configured for intent change detection
-        """
-        config: Dict[str, Any] = {}
+    Returns:
+        EvaluatorDetails configured for the specified evaluator
 
-        return EvaluatorDetails(
-            slug="intent-change",
-            version=None,
-            config=config,
-            required_input_fields=["prompts", "completions"],
-        )
+    Example:
+        >>> from traceloop.sdk.evaluator import create_evaluator
+        >>> evaluator = create_evaluator("pii-detector", probability_threshold=0.8)
+    """
+    if slug not in REQUEST_MODELS:
+        available = ", ".join(sorted(REQUEST_MODELS.keys()))
+        raise ValueError(f"Unknown evaluator slug: '{slug}'. Available: {available}")
+
+    # Remove None values from config
+    config = {k: v for k, v in config.items() if v is not None}
+    return EvaluatorDetails(
+        slug=slug,
+        version=None,
+        config=config,
+        required_input_fields=_get_required_fields(slug),
+    )
+
+
+class _EvaluatorMadeByTraceloopMeta(type):
+    """Metaclass that dynamically generates evaluator factory methods."""
+
+    def __getattr__(cls, name: str) -> Any:
+        """Dynamically create factory methods for any evaluator slug."""
+        slug = _method_name_to_slug(name)
+        if slug in REQUEST_MODELS:
+
+            def factory(**config: Any) -> EvaluatorDetails:
+                return create_evaluator(slug, **config)
+
+            factory.__name__ = name
+            config_fields = list(_get_config_fields(slug).keys()) or "none"
+            factory.__doc__ = f"Create {slug} evaluator. Config fields: {config_fields}"
+            return factory
+        raise AttributeError(f"'{cls.__name__}' has no attribute '{name}'")
+
+    def __dir__(cls) -> List[str]:
+        """List all available evaluator methods."""
+        methods = list(super().__dir__())
+        for slug in REQUEST_MODELS:
+            methods.append(_slug_to_method_name(slug))
+        return methods
+
+
+class EvaluatorMadeByTraceloop(metaclass=_EvaluatorMadeByTraceloopMeta):
+    """
+    Factory class for creating Traceloop evaluators with proper configuration.
 
-    @staticmethod
-    def tone_detection(
-    ) -> EvaluatorDetails:
-        """
-        Tone detection evaluator - classifies emotional tone of responses (joy, anger, sadness, etc.).
+    All evaluator slugs from the registry are available as methods.
+    Methods are dynamically generated from REQUEST_MODELS.
 
-        Required task output fields:
-            - text: The text to analyze for tone
+    Example:
+        >>> from traceloop.sdk.evaluator import EvaluatorMadeByTraceloop
+        >>>
+        >>> evaluators = [
+        ...     EvaluatorMadeByTraceloop.pii_detector(probability_threshold=0.8),
+        ...     EvaluatorMadeByTraceloop.toxicity_detector(threshold=0.7),
+        ...     EvaluatorMadeByTraceloop.faithfulness(),
+        ... ]
 
-        Returns:
-            EvaluatorDetails configured for tone detection
-        """
-        config: Dict[str, Any] = {}
+    Available evaluators (auto-generated from registry):
+        - pii_detector, toxicity_detector, prompt_injection
+        - regex_validator, json_validator, sql_validator
+        - faithfulness, answer_relevancy, context_relevance
+        - agent_goal_accuracy, agent_efficiency, agent_flow_quality
+        - and more... (use dir(EvaluatorMadeByTraceloop) to see all)
+    """
 
-        return EvaluatorDetails(
-            slug="tone-detection",
-            version=None,
-            config=config,
-            required_input_fields=["text"],
-        )
+    pass
diff --git a/packages/traceloop-sdk/traceloop/sdk/evaluator/model.py b/packages/traceloop-sdk/traceloop/sdk/evaluator/model.py
index 1fc4636221..e5e6a8f5b1 100644
--- a/packages/traceloop-sdk/traceloop/sdk/evaluator/model.py
+++ b/packages/traceloop-sdk/traceloop/sdk/evaluator/model.py
@@ -1,7 +1,9 @@
 import datetime
-from typing import Dict, Any, Optional
+from typing import Dict, Any, Optional, TypeVar, Type
 from pydantic import BaseModel, RootModel
 
+T = TypeVar('T', bound=BaseModel)
+
 
 class InputExtractor(BaseModel):
     source: str
@@ -42,3 +44,20 @@ class ExecutionResponse(BaseModel):
 
     execution_id: str
     result: Dict[str, Any]
+
+    def typed_result(self, model: Type[T]) -> T:
+        """Parse result into a typed Pydantic model.
+
+        Args:
+            model: The Pydantic model class to parse the result into
+
+        Returns:
+            An instance of the provided model class
+
+        Example:
+            from traceloop.sdk.generated.evaluators import PIIDetectorResponse
+            result = await evaluator.run_experiment_evaluator(...)
+            pii = result.typed_result(PIIDetectorResponse)
+            print(pii.has_pii)  # IDE autocomplete works!
+        """
+        return model(**self.result)
diff --git a/packages/traceloop-sdk/traceloop/sdk/generated/__init__.py b/packages/traceloop-sdk/traceloop/sdk/generated/__init__.py
new file mode 100644
index 0000000000..59399a0eda
--- /dev/null
+++ b/packages/traceloop-sdk/traceloop/sdk/generated/__init__.py
@@ -0,0 +1,16 @@
+# Generated code modules
+# DO NOT EDIT MANUALLY - Regenerate with scripts in /scripts/
+
+from .evaluators import (
+    REQUEST_MODELS,
+    RESPONSE_MODELS,
+    get_request_model,
+    get_response_model,
+)
+
+__all__ = [
+    "REQUEST_MODELS",
+    "RESPONSE_MODELS",
+    "get_request_model",
+    "get_response_model",
+]
diff --git a/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/__init__.py b/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/__init__.py
new file mode 100644
index 0000000000..5241cf6102
--- /dev/null
+++ b/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/__init__.py
@@ -0,0 +1,162 @@
+# generated by datamodel-codegen
+# Models for v2/evaluators/execute endpoints from OpenAPI spec
+#
+# DO NOT EDIT MANUALLY - Regenerate with:
+#   ./scripts/generate-models.sh /path/to/swagger.json
+
+from .request import (
+    AgentEfficiencyRequest,
+    AgentFlowQualityRequest,
+    AgentGoalAccuracyRequest,
+    AgentGoalCompletenessRequest,
+    AgentToolErrorDetectorRequest,
+    AnswerCompletenessRequest,
+    AnswerCorrectnessRequest,
+    AnswerRelevancyRequest,
+    CharCountRatioRequest,
+    CharCountRequest,
+    ContextRelevanceRequest,
+    ConversationQualityRequest,
+    FaithfulnessRequest,
+    InstructionAdherenceRequest,
+    IntentChangeRequest,
+    JSONValidatorRequest,
+    PIIDetectorRequest,
+    PerplexityRequest,
+    PlaceholderRegexRequest,
+    ProfanityDetectorRequest,
+    PromptInjectionRequest,
+    PromptPerplexityRequest,
+    RegexValidatorRequest,
+    SQLValidatorRequest,
+    SecretsDetectorRequest,
+    SemanticSimilarityRequest,
+    SexismDetectorRequest,
+    ToneDetectionRequest,
+    TopicAdherenceRequest,
+    ToxicityDetectorRequest,
+    UncertaintyDetectorRequest,
+    WordCountRatioRequest,
+    WordCountRequest,
+)
+
+from .registry import (
+    REQUEST_MODELS,
+    RESPONSE_MODELS,
+    get_request_model,
+    get_response_model,
+)
+
+from .response import (
+    AgentEfficiencyResponse,
+    AgentFlowQualityResponse,
+    AgentGoalAccuracyResponse,
+    AgentGoalCompletenessResponse,
+    AgentToolErrorDetectorResponse,
+    AnswerCompletenessResponse,
+    AnswerCorrectnessResponse,
+    AnswerRelevancyResponse,
+    CharCountRatioResponse,
+    CharCountResponse,
+    ContextRelevanceResponse,
+    ConversationQualityResponse,
+    ErrorResponse,
+    FaithfulnessResponse,
+    InstructionAdherenceResponse,
+    IntentChangeResponse,
+    JSONValidatorResponse,
+    PIIDetectorResponse,
+    PerplexityResponse,
+    PlaceholderRegexResponse,
+    ProfanityDetectorResponse,
+    PromptInjectionResponse,
+    PromptPerplexityResponse,
+    RegexValidatorResponse,
+    SQLValidatorResponse,
+    SecretsDetectorResponse,
+    SemanticSimilarityResponse,
+    SexismDetectorResponse,
+    ToneDetectionResponse,
+    TopicAdherenceResponse,
+    ToxicityDetectorResponse,
+    UncertaintyDetectorResponse,
+    WordCountRatioResponse,
+    WordCountResponse,
+)
+
+__all__ = [
+    # Registry functions
+    "REQUEST_MODELS",
+    "RESPONSE_MODELS",
+    "get_request_model",
+    "get_response_model",
+    # Evaluator request models
+    "AgentEfficiencyRequest",
+    "AgentFlowQualityRequest",
+    "AgentGoalAccuracyRequest",
+    "AgentGoalCompletenessRequest",
+    "AgentToolErrorDetectorRequest",
+    "AnswerCompletenessRequest",
+    "AnswerCorrectnessRequest",
+    "AnswerRelevancyRequest",
+    "CharCountRatioRequest",
+    "CharCountRequest",
+    "ContextRelevanceRequest",
+    "ConversationQualityRequest",
+    "FaithfulnessRequest",
+    "InstructionAdherenceRequest",
+    "IntentChangeRequest",
+    "JSONValidatorRequest",
+    "PIIDetectorRequest",
+    "PerplexityRequest",
+    "PlaceholderRegexRequest",
+    "ProfanityDetectorRequest",
+    "PromptInjectionRequest",
+    "PromptPerplexityRequest",
+    "RegexValidatorRequest",
+    "SQLValidatorRequest",
+    "SecretsDetectorRequest",
+    "SemanticSimilarityRequest",
+    "SexismDetectorRequest",
+    "ToneDetectionRequest",
+    "TopicAdherenceRequest",
+    "ToxicityDetectorRequest",
+    "UncertaintyDetectorRequest",
+    "WordCountRatioRequest",
+    "WordCountRequest",
+    # Evaluator response models
+    "AgentEfficiencyResponse",
+    "AgentFlowQualityResponse",
+    "AgentGoalAccuracyResponse",
+    "AgentGoalCompletenessResponse",
+    "AgentToolErrorDetectorResponse",
+    "AnswerCompletenessResponse",
+    "AnswerCorrectnessResponse",
+    "AnswerRelevancyResponse",
+    "CharCountRatioResponse",
+    "CharCountResponse",
+    "ContextRelevanceResponse",
+    "ConversationQualityResponse",
+    "ErrorResponse",
+    "FaithfulnessResponse",
+    "InstructionAdherenceResponse",
+    "IntentChangeResponse",
+    "JSONValidatorResponse",
+    "PIIDetectorResponse",
+    "PerplexityResponse",
+    "PlaceholderRegexResponse",
+    "ProfanityDetectorResponse",
+    "PromptInjectionResponse",
+    "PromptPerplexityResponse",
+    "RegexValidatorResponse",
+    "SQLValidatorResponse",
+    "SecretsDetectorResponse",
+    "SemanticSimilarityResponse",
+    "SexismDetectorResponse",
+    "ToneDetectionResponse",
+    "TopicAdherenceResponse",
+    "ToxicityDetectorResponse",
+    "UncertaintyDetectorResponse",
+    "WordCountRatioResponse",
+    "WordCountResponse",
+]
diff --git a/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/registry.py b/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/registry.py
new file mode 100644
index 0000000000..56a02362e9
--- /dev/null
+++ b/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/registry.py
@@ -0,0 +1,168 @@
+"""
+Registry mapping evaluator slugs to their request/response Pydantic models.
+
+This enables type-safe validation of inputs and parsing of outputs.
+
+DO NOT EDIT MANUALLY - Regenerate with:
+    ./scripts/generate-models.sh /path/to/swagger.json
+"""
+
+from typing import Dict, Type, Optional
+from pydantic import BaseModel
+
+from .request import (
+    AgentEfficiencyRequest,
+    AgentFlowQualityRequest,
+    AgentGoalAccuracyRequest,
+    AgentGoalCompletenessRequest,
+    AgentToolErrorDetectorRequest,
+    AnswerCompletenessRequest,
+    AnswerCorrectnessRequest,
+    AnswerRelevancyRequest,
+    CharCountRatioRequest,
+    CharCountRequest,
+    ContextRelevanceRequest,
+    ConversationQualityRequest,
+    FaithfulnessRequest,
+    InstructionAdherenceRequest,
+    IntentChangeRequest,
+    JSONValidatorRequest,
+    PIIDetectorRequest,
+    PerplexityRequest,
+    PlaceholderRegexRequest,
+    ProfanityDetectorRequest,
+    PromptInjectionRequest,
+    PromptPerplexityRequest,
+    RegexValidatorRequest,
+    SQLValidatorRequest,
+    SecretsDetectorRequest,
+    SemanticSimilarityRequest,
+    SexismDetectorRequest,
+    ToneDetectionRequest,
+    TopicAdherenceRequest,
+    ToxicityDetectorRequest,
+    UncertaintyDetectorRequest,
+    WordCountRatioRequest,
+    WordCountRequest,
+)
+
+from .response import (
+    AgentEfficiencyResponse,
+    AgentFlowQualityResponse,
+    AgentGoalAccuracyResponse,
+    AgentGoalCompletenessResponse,
+    AgentToolErrorDetectorResponse,
+    AnswerCompletenessResponse,
+    AnswerCorrectnessResponse,
+    AnswerRelevancyResponse,
+    CharCountRatioResponse,
+    CharCountResponse,
+    ContextRelevanceResponse,
+    ConversationQualityResponse,
+    FaithfulnessResponse,
+    InstructionAdherenceResponse,
+    IntentChangeResponse,
+    JSONValidatorResponse,
+    PIIDetectorResponse,
+    PerplexityResponse,
+    PlaceholderRegexResponse,
+    ProfanityDetectorResponse,
+    PromptInjectionResponse,
+    PromptPerplexityResponse,
+    RegexValidatorResponse,
+    SQLValidatorResponse,
+    SecretsDetectorResponse,
+    SemanticSimilarityResponse,
+    SexismDetectorResponse,
+    ToneDetectionResponse,
+    TopicAdherenceResponse,
+    ToxicityDetectorResponse,
+    UncertaintyDetectorResponse,
+    WordCountRatioResponse,
+    WordCountResponse,
+)
+
+
+# Mapping from evaluator slug to request model
+REQUEST_MODELS: Dict[str, Type[BaseModel]] = {
+    "agent-efficiency": AgentEfficiencyRequest,
+    "agent-flow-quality": AgentFlowQualityRequest,
+    "agent-goal-accuracy": AgentGoalAccuracyRequest,
+    "agent-goal-completeness": AgentGoalCompletenessRequest,
+    "agent-tool-error-detector": AgentToolErrorDetectorRequest,
+    "answer-completeness": AnswerCompletenessRequest,
+    "answer-correctness": AnswerCorrectnessRequest,
+    "answer-relevancy": AnswerRelevancyRequest,
+    "char-count": CharCountRequest,
+    "char-count-ratio": CharCountRatioRequest,
+    "context-relevance": ContextRelevanceRequest,
+    "conversation-quality": ConversationQualityRequest,
+    "faithfulness": FaithfulnessRequest,
+    "instruction-adherence": InstructionAdherenceRequest,
+    "intent-change": IntentChangeRequest,
+    "json-validator": JSONValidatorRequest,
+    "perplexity": PerplexityRequest,
+    "pii-detector": PIIDetectorRequest,
+    "placeholder-regex": PlaceholderRegexRequest,
+    "profanity-detector": ProfanityDetectorRequest,
+    "prompt-injection": PromptInjectionRequest,
+    "prompt-perplexity": PromptPerplexityRequest,
+    "regex-validator": RegexValidatorRequest,
+    "secrets-detector": SecretsDetectorRequest,
+    "semantic-similarity": SemanticSimilarityRequest,
+    "sexism-detector": SexismDetectorRequest,
+    "sql-validator": SQLValidatorRequest,
+    "tone-detection": ToneDetectionRequest,
+    "topic-adherence": TopicAdherenceRequest,
+    "toxicity-detector": ToxicityDetectorRequest,
+    "uncertainty-detector": UncertaintyDetectorRequest,
+    "word-count": WordCountRequest,
+    "word-count-ratio": WordCountRatioRequest,
+}
+
+# Mapping from evaluator slug to response model
+RESPONSE_MODELS: Dict[str, Type[BaseModel]] = {
+    "agent-efficiency": AgentEfficiencyResponse,
+    "agent-flow-quality": AgentFlowQualityResponse,
+    "agent-goal-accuracy": AgentGoalAccuracyResponse,
+    "agent-goal-completeness": AgentGoalCompletenessResponse,
+    "agent-tool-error-detector": AgentToolErrorDetectorResponse,
+    "answer-completeness": AnswerCompletenessResponse,
+    "answer-correctness": AnswerCorrectnessResponse,
+    "answer-relevancy": AnswerRelevancyResponse,
+    "char-count": CharCountResponse,
+    "char-count-ratio": CharCountRatioResponse,
+    "context-relevance": ContextRelevanceResponse,
+    "conversation-quality": ConversationQualityResponse,
+    "faithfulness": FaithfulnessResponse,
+    "instruction-adherence": InstructionAdherenceResponse,
+    "intent-change": IntentChangeResponse,
+    "json-validator": JSONValidatorResponse,
+    "perplexity": PerplexityResponse,
+    "pii-detector": PIIDetectorResponse,
+    "placeholder-regex": PlaceholderRegexResponse,
+    "profanity-detector": ProfanityDetectorResponse,
+    "prompt-injection": PromptInjectionResponse,
+    "prompt-perplexity": PromptPerplexityResponse,
+    "regex-validator": RegexValidatorResponse,
+    "secrets-detector": SecretsDetectorResponse,
+    "semantic-similarity": SemanticSimilarityResponse,
+    "sexism-detector": SexismDetectorResponse,
+    "sql-validator": SQLValidatorResponse,
+    "tone-detection": ToneDetectionResponse,
+    "topic-adherence": TopicAdherenceResponse,
+    "toxicity-detector": ToxicityDetectorResponse,
+    "uncertainty-detector": UncertaintyDetectorResponse,
+    "word-count": WordCountResponse,
+    "word-count-ratio": WordCountRatioResponse,
+}
+
+
+def get_request_model(slug: str) -> Optional[Type[BaseModel]]:
+    """Get the request model for an evaluator by slug."""
+    return REQUEST_MODELS.get(slug)
+
+
+def get_response_model(slug: str) -> Optional[Type[BaseModel]]:
+    """Get the response model for an evaluator by slug."""
+    return RESPONSE_MODELS.get(slug)
diff --git a/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/request.py b/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/request.py
new file mode 100644
index 0000000000..b869224ce6
--- /dev/null
+++ b/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/request.py
@@ -0,0 +1,277 @@
+# generated by datamodel-codegen:
+#   filename:  tmpvqz8m01b.json
+
+from __future__ import annotations
+
+from typing import Optional
+
+from pydantic import BaseModel, Field
+
+
+class AgentEfficiencyRequest(BaseModel):
+    trajectory_completions: str = Field(
+        ..., examples=['["User found", "Email updated", "Changes saved"]']
+    )
+    trajectory_prompts: str = Field(
+        ..., examples=['["Find user info", "Update email", "Save changes"]']
+    )
+
+
+class AgentFlowQualityRequest(BaseModel):
+    conditions: list[str] = Field(
+        ..., examples=[['no tools called', 'agent completed task']]
+    )
+    threshold: float = Field(..., examples=[0.5])
+    trajectory_completions: str = Field(
+        ...,
+        examples=['["Found 5 flights", "Selected $299 flight", "Booking confirmed"]'],
+    )
+    trajectory_prompts: str = Field(
+        ...,
+        examples=[
+            '["Search for flights", "Select the cheapest option", "Confirm booking"]'
+        ],
+    )
+
+
+class AgentGoalAccuracyRequest(BaseModel):
+    completion: str = Field(
+        ...,
+        examples=[
+            'I have booked your flight from New York to Los Angeles departing Monday at 9am.'
+        ],
+    )
+    question: str = Field(
+        ..., examples=['Book a flight from NYC to LA for next Monday']
+    )
+    reference: str = Field(..., examples=['Flight booked: NYC to LA, Monday departure'])
+
+
+class AgentGoalCompletenessRequest(BaseModel):
+    threshold: float = Field(..., examples=[0.5])
+    trajectory_completions: str = Field(
+        ...,
+        examples=['["Account created", "Preferences saved", "Notifications enabled"]'],
+    )
+    trajectory_prompts: str = Field(
+        ...,
+        examples=['["Create new account", "Set preferences", "Enable notifications"]'],
+    )
+
+
+class AgentToolErrorDetectorRequest(BaseModel):
+    tool_input: str = Field(
+        ..., examples=['{"action": "search", "query": "flights to Paris"}']
+    )
+    tool_output: str = Field(
+        ...,
+        examples=[
+            '{"status": "success", "results": [{"flight": "AF123", "price": 450}]}'
+        ],
+    )
+
+
+class AnswerCompletenessRequest(BaseModel):
+    completion: str = Field(..., examples=['Paris.'])
+    context: str = Field(..., examples=['The capital of France is Paris.'])
+    question: str = Field(..., examples=['What is the capital of France?'])
+
+
+class AnswerCorrectnessRequest(BaseModel):
+    completion: str = Field(..., examples=['World War II ended in 1945.'])
+    ground_truth: str = Field(..., examples=['1945'])
+    question: str = Field(..., examples=['What year did World War II end?'])
+
+
+class AnswerRelevancyRequest(BaseModel):
+    answer: str = Field(..., examples=['The capital of France is Paris.'])
+    question: str = Field(..., examples=['What is the capital of France?'])
+
+
+class CharCountRatioRequest(BaseModel):
+    denominator_text: str = Field(
+        ..., examples=['This is a longer text for comparison']
+    )
+    numerator_text: str = Field(..., examples=['Short text'])
+
+
+class CharCountRequest(BaseModel):
+    text: str = Field(..., examples=['Hello, world! This is a sample text.'])
+
+
+class ContextRelevanceRequest(BaseModel):
+    context: str = Field(
+        ...,
+        examples=[
+            'Our store is open Monday to Friday from 9am to 6pm, and Saturday from 10am to 4pm. We are closed on Sundays.'
+        ],
+    )
+    model: Optional[str] = Field(None, examples=['gpt-4o'])
+    query: str = Field(..., examples=['What are the business hours?'])
+
+
+class ConversationQualityRequest(BaseModel):
+    completions: str = Field(
+        ...,
+        examples=[
+            '["Hi! I\'d be happy to assist you today.", "We offer consulting, development, and support services."]'
+        ],
+    )
+    model: Optional[str] = Field(None, examples=['gpt-4o'])
+    prompts: str = Field(
+        ..., examples=['["Hello, how can I help?", "What services do you offer?"]']
+    )
+
+
+class FaithfulnessRequest(BaseModel):
+    completion: str = Field(
+        ..., examples=['The Eiffel Tower is located in Paris and was built in 1889.']
+    )
+    context: str = Field(
+        ...,
+        examples=[
+            'The Eiffel Tower is a wrought-iron lattice tower on the Champ de Mars in Paris, France. It was constructed from 1887 to 1889.'
+        ],
+    )
+    question: str = Field(..., examples=['When was the Eiffel Tower built?'])
+
+
+class InstructionAdherenceRequest(BaseModel):
+    instructions: str = Field(
+        ..., examples=['Respond in exactly 3 bullet points and use formal language.']
+    )
+    response: str = Field(
+        ...,
+        examples=[
+            '- First point about the topic\n- Second relevant consideration\n- Final concluding thought'
+        ],
+    )
+
+
+class IntentChangeRequest(BaseModel):
+    completions: str = Field(
+        ...,
+        examples=[
+            '["Sure, I can help with hotel booking", "No problem, let me search for flights"]'
+        ],
+    )
+    model: Optional[str] = Field(None, examples=['gpt-4o'])
+    prompts: str = Field(
+        ...,
+        examples=['["I want to book a hotel", "Actually, I need a flight instead"]'],
+    )
+
+
+class JSONValidatorRequest(BaseModel):
+    enable_schema_validation: Optional[bool] = Field(None, examples=[True])
+    schema_string: Optional[str] = Field(None, examples=['{}'])
+    text: str = Field(..., examples=['{"name": "John", "age": 30}'])
+
+
+class PIIDetectorRequest(BaseModel):
+    probability_threshold: Optional[float] = Field(None, examples=[0.8])
+    text: str = Field(
+        ...,
+        examples=[
+            'Please contact John Smith at john.smith@email.com or call 555-123-4567.'
+        ],
+    )
+
+
+class PerplexityRequest(BaseModel):
+    logprobs: str = Field(..., examples=['[-2.3, -1.5, -0.8, -1.2, -0.5]'])
+
+
+class PlaceholderRegexRequest(BaseModel):
+    case_sensitive: Optional[bool] = Field(None, examples=[True])
+    dot_include_nl: Optional[bool] = Field(None, examples=[True])
+    multi_line: Optional[bool] = Field(None, examples=[True])
+    placeholder_value: str = Field(
+        ..., examples=['[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Z|a-z]{2,}']
+    )
+    should_match: Optional[bool] = Field(None, examples=[True])
+    text: str = Field(..., examples=['user@example.com'])
+
+
+class ProfanityDetectorRequest(BaseModel):
+    text: str = Field(..., examples=['This is a clean and professional message.'])
+
+
+class PromptInjectionRequest(BaseModel):
+    prompt: str = Field(..., examples=['What is the weather like today?'])
+    threshold: Optional[float] = Field(None, examples=[0.5])
+
+
+class PromptPerplexityRequest(BaseModel):
+    prompt: str = Field(..., examples=['What is the capital of France?'])
+
+
+class RegexValidatorRequest(BaseModel):
+    case_sensitive: Optional[bool] = Field(None, examples=[True])
+    dot_include_nl: Optional[bool] = Field(None, examples=[True])
+    multi_line: Optional[bool] = Field(None, examples=[True])
+    regex: Optional[str] = Field(None, examples=['.*'])
+    should_match: Optional[bool] = Field(None, examples=[True])
+    text: str = Field(..., examples=['user@example.com'])
+
+
+class SQLValidatorRequest(BaseModel):
+    text: str = Field(..., examples=['SELECT * FROM users WHERE id = 1;'])
+
+
+class SecretsDetectorRequest(BaseModel):
+    text: str = Field(
+        ..., examples=['Here is some text without any API keys or passwords.']
+    )
+
+
+class SemanticSimilarityRequest(BaseModel):
+    completion: str = Field(..., examples=['The cat sat on the mat.'])
+    reference: str = Field(..., examples=['A feline was resting on the rug.'])
+
+
+class SexismDetectorRequest(BaseModel):
+    text: str = Field(
+        ...,
+        examples=['All team members should be treated equally regardless of gender.'],
+    )
+    threshold: Optional[float] = Field(None, examples=[0.5])
+
+
+class ToneDetectionRequest(BaseModel):
+    text: str = Field(..., examples=['The capital of France is Paris.'])
+
+
+class TopicAdherenceRequest(BaseModel):
+    completion: str = Field(
+        ...,
+        examples=[
+            'Machine learning is a subset of AI that enables systems to learn from data.'
+        ],
+    )
+    question: str = Field(..., examples=['Tell me about machine learning'])
+    reference_topics: str = Field(
+        ..., examples=['artificial intelligence, data science, algorithms']
+    )
+
+
+class ToxicityDetectorRequest(BaseModel):
+    text: str = Field(..., examples=['Thank you for your help with this project.'])
+    threshold: Optional[float] = Field(None, examples=[0.5])
+
+
+class UncertaintyDetectorRequest(BaseModel):
+    prompt: str = Field(
+        ..., examples=['I am not sure, I think the capital of France is Paris.']
+    )
+
+
+class WordCountRatioRequest(BaseModel):
+    denominator_text: str = Field(
+        ..., examples=['This is a longer input text for comparison']
+    )
+    numerator_text: str = Field(..., examples=['Short response'])
+
+
+class WordCountRequest(BaseModel):
+    text: str = Field(..., examples=['This is a sample text with several words.'])
diff --git a/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/response.py b/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/response.py
new file mode 100644
index 0000000000..0b75dd715d
--- /dev/null
+++ b/packages/traceloop-sdk/traceloop/sdk/generated/evaluators/response.py
@@ -0,0 +1,166 @@
+# generated by datamodel-codegen:
+#   filename:  tmpvqz8m01b.json
+
+from __future__ import annotations
+
+from typing import Optional
+
+from pydantic import BaseModel, Field
+
+
+class AgentEfficiencyResponse(BaseModel):
+    step_efficiency_reason: Optional[str] = Field(
+        None, examples=['Agent completed task with minimal redundant steps']
+    )
+    step_efficiency_score: Optional[float] = Field(None, examples=[0.85])
+    task_completion_reason: Optional[str] = Field(
+        None, examples=['All required tasks were completed successfully']
+    )
+    task_completion_score: Optional[float] = Field(None, examples=[0.92])
+
+
+class AgentFlowQualityResponse(BaseModel):
+    reason: Optional[str] = Field(
+        None, examples=['Agent followed the expected flow correctly']
+    )
+    result: Optional[str] = Field(None, examples=['pass'])
+    score: Optional[float] = Field(None, examples=[0.89])
+
+
+class AgentGoalAccuracyResponse(BaseModel):
+    accuracy_score: Optional[float] = Field(None, examples=[0.88])
+
+
+class AgentGoalCompletenessResponse(BaseModel):
+    reason: Optional[str] = Field(None, examples=['All user goals were accomplished'])
+    result: Optional[str] = Field(None, examples=['complete'])
+    score: Optional[float] = Field(None, examples=[0.95])
+
+
+class AgentToolErrorDetectorResponse(BaseModel):
+    reason: Optional[str] = Field(
+        None, examples=['Tool executed successfully without errors']
+    )
+    result: Optional[str] = Field(None, examples=['success'])
+
+
+class AnswerCompletenessResponse(BaseModel):
+    answer_completeness_score: Optional[float] = Field(None, examples=[0.95])
+
+
+class AnswerCorrectnessResponse(BaseModel):
+    correctness_score: Optional[float] = Field(None, examples=[0.91])
+
+
+class AnswerRelevancyResponse(BaseModel):
+    is_relevant: Optional[bool] = Field(None, examples=[True])
+
+
+class CharCountRatioResponse(BaseModel):
+    char_ratio: Optional[float] = Field(None, examples=[0.75])
+
+
+class CharCountResponse(BaseModel):
+    char_count: Optional[int] = Field(None, examples=[42])
+
+
+class ContextRelevanceResponse(BaseModel):
+    relevance_score: Optional[float] = Field(None, examples=[0.88])
+
+
+class ConversationQualityResponse(BaseModel):
+    conversation_quality_score: Optional[float] = Field(None, examples=[0.82])
+
+
+class ErrorResponse(BaseModel):
+    error: Optional[str] = Field(None, examples=['error message'])
+
+
+class FaithfulnessResponse(BaseModel):
+    is_faithful: Optional[bool] = Field(None, examples=[True])
+
+
+class InstructionAdherenceResponse(BaseModel):
+    instruction_adherence_score: Optional[float] = Field(None, examples=[0.87])
+
+
+class IntentChangeResponse(BaseModel):
+    pass_: Optional[bool] = Field(None, alias='pass', examples=[True])
+    reason: Optional[str] = Field(
+        None, examples=['User intent remained consistent throughout the conversation']
+    )
+    score: Optional[int] = Field(None, examples=[1])
+
+
+class JSONValidatorResponse(BaseModel):
+    is_valid_json: Optional[bool] = Field(None, examples=[True])
+
+
+class PIIDetectorResponse(BaseModel):
+    has_pii: Optional[bool] = Field(None, examples=[False])
+
+
+class PerplexityResponse(BaseModel):
+    perplexity_score: Optional[float] = Field(None, examples=[12.5])
+
+
+class PlaceholderRegexResponse(BaseModel):
+    is_valid_regex: Optional[bool] = Field(None, examples=[True])
+
+
+class ProfanityDetectorResponse(BaseModel):
+    has_profanity: Optional[bool] = Field(None, examples=[False])
+
+
+class PromptInjectionResponse(BaseModel):
+    has_injection: Optional[str] = Field(None, examples=['safe'])
+
+
+class PromptPerplexityResponse(BaseModel):
+    perplexity_score: Optional[float] = Field(None, examples=[8.3])
+
+
+class RegexValidatorResponse(PlaceholderRegexResponse):
+    pass
+
+
+class SQLValidatorResponse(BaseModel):
+    is_valid_sql: Optional[bool] = Field(None, examples=[True])
+
+
+class SecretsDetectorResponse(BaseModel):
+    has_secret: Optional[bool] = Field(None, examples=[False])
+
+
+class SemanticSimilarityResponse(BaseModel):
+    similarity_score: Optional[float] = Field(None, examples=[0.92])
+
+
+class SexismDetectorResponse(BaseModel):
+    is_safe: Optional[str] = Field(None, examples=['safe'])
+
+
+class ToneDetectionResponse(BaseModel):
+    score: Optional[float] = Field(None, examples=[0.95])
+    tone: Optional[str] = Field(None, examples=['neutral'])
+
+
+class TopicAdherenceResponse(BaseModel):
+    adherence_score: Optional[float] = Field(None, examples=[0.95])
+
+
+class ToxicityDetectorResponse(SexismDetectorResponse):
+    pass
+
+
+class UncertaintyDetectorResponse(BaseModel):
+    answer: Optional[str] = Field(None, examples=['Paris'])
+    uncertainty: Optional[float] = Field(None, examples=[0.95])
+
+
+class WordCountRatioResponse(BaseModel):
+    word_ratio: Optional[float] = Field(None, examples=[0.85])
+
+
+class WordCountResponse(BaseModel):
+    word_count: Optional[int] = Field(None, examples=[10])
diff --git a/scripts/codegen/generate_evaluator_models.py b/scripts/codegen/generate_evaluator_models.py
new file mode 100644
index 0000000000..96f27483f9
--- /dev/null
+++ b/scripts/codegen/generate_evaluator_models.py
@@ -0,0 +1,333 @@
+#!/usr/bin/env python3
+"""
+Generate Pydantic models from OpenAPI/Swagger spec.
+Extracts models used by v2/evaluators/execute/* endpoints.
+
+Usage:
+    python generate_evaluator_models.py <swagger_path> <output_dir>
+"""
+
+import json
+import re
+import subprocess
+import sys
+import tempfile
+from pathlib import Path
+
+
+def extract_definitions_and_mappings(swagger_path: str) -> tuple[dict, dict]:
+    """
+    Extract definitions used by v2/evaluators/execute/* endpoints.
+    Also extracts slug-to-model mappings.
+
+    Returns:
+        tuple: (filtered_definitions, slug_mappings)
+        slug_mappings: {slug: {"request": "ModelName", "response": "ModelName"}}
+    """
+    with open(swagger_path) as f:
+        data = json.load(f)
+
+    all_definitions = data["definitions"]
+    needed_refs = set()
+    slug_mappings = {}
+
+    # Collect all definitions referenced by target endpoints
+    for path, methods in data["paths"].items():
+        if "/v2/evaluators/execute/" in path:
+            # Extract slug from path like /v2/evaluators/execute/pii-detector
+            slug = path.split("/v2/evaluators/execute/")[-1]
+            if slug:
+                slug_mappings[slug] = {"request": None, "response": None}
+
+            for method, details in methods.items():
+                # Get request body refs
+                for param in details.get("parameters", []):
+                    if "schema" in param and "$ref" in param["schema"]:
+                        ref = param["schema"]["$ref"].replace("#/definitions/", "")
+                        needed_refs.add(ref)
+                        if slug and ref.startswith("request."):
+                            # Convert request.PIIDetectorRequest to PIIDetectorRequest
+                            model_name = ref.split(".")[-1]
+                            slug_mappings[slug]["request"] = model_name
+
+                # Get response refs
+                for code, resp in details.get("responses", {}).items():
+                    if "schema" in resp and "$ref" in resp["schema"]:
+                        ref = resp["schema"]["$ref"].replace("#/definitions/", "")
+                        needed_refs.add(ref)
+                        # Only use 200 response for the success model mapping
+                        if slug and code == "200" and ref.startswith("response."):
+                            model_name = ref.split(".")[-1]
+                            slug_mappings[slug]["response"] = model_name
+
+    # Recursively find all referenced definitions
+    def find_refs(obj, refs):
+        if isinstance(obj, dict):
+            if "$ref" in obj:
+                ref = obj["$ref"].replace("#/definitions/", "")
+                if ref not in refs:
+                    refs.add(ref)
+                    if ref in all_definitions:
+                        find_refs(all_definitions[ref], refs)
+            else:
+                for v in obj.values():
+                    find_refs(v, refs)
+        elif isinstance(obj, list):
+            for item in obj:
+                find_refs(item, refs)
+
+    # Find all nested references
+    all_needed = set(needed_refs)
+    for ref in list(needed_refs):
+        if ref in all_definitions:
+            find_refs(all_definitions[ref], all_needed)
+
+    # Filter definitions to only include needed ones
+    filtered_definitions = {
+        k: v for k, v in all_definitions.items() if k in all_needed
+    }
+
+    # Clean up slug_mappings - remove entries without both request and response
+    slug_mappings = {
+        slug: models
+        for slug, models in slug_mappings.items()
+        if models["request"] and models["response"]
+    }
+
+    return filtered_definitions, slug_mappings
+
+
+def generate_registry_py(output_dir: Path, slug_mappings: dict) -> int:
+    """Generate registry.py with slug-to-model mappings."""
+
+    # Collect all unique request and response model names
+    request_models = sorted(set(
+        m["request"] for m in slug_mappings.values() if m["request"]
+    ))
+    response_models = sorted(set(
+        m["response"] for m in slug_mappings.values() if m["response"]
+    ))
+
+    content = '''"""
+Registry mapping evaluator slugs to their request/response Pydantic models.
+
+This enables type-safe validation of inputs and parsing of outputs.
+
+DO NOT EDIT MANUALLY - Regenerate with:
+    ./scripts/generate-models.sh /path/to/swagger.json
+"""
+
+from typing import Dict, Type, Optional
+from pydantic import BaseModel
+
+'''
+
+    # Import request models
+    if request_models:
+        content += "from .request import (\n"
+        for model in request_models:
+            content += f"    {model},\n"
+        content += ")\n\n"
+
+    # Import response models
+    if response_models:
+        content += "from .response import (\n"
+        for model in response_models:
+            content += f"    {model},\n"
+        content += ")\n\n"
+
+    # Generate REQUEST_MODELS dict
+    content += "\n# Mapping from evaluator slug to request model\n"
+    content += "REQUEST_MODELS: Dict[str, Type[BaseModel]] = {\n"
+    for slug in sorted(slug_mappings.keys()):
+        model = slug_mappings[slug]["request"]
+        if model:
+            content += f'    "{slug}": {model},\n'
+    content += "}\n\n"
+
+    # Generate RESPONSE_MODELS dict
+    content += "# Mapping from evaluator slug to response model\n"
+    content += "RESPONSE_MODELS: Dict[str, Type[BaseModel]] = {\n"
+    for slug in sorted(slug_mappings.keys()):
+        model = slug_mappings[slug]["response"]
+        if model:
+            content += f'    "{slug}": {model},\n'
+    content += "}\n\n"
+
+    # Add helper functions
+    content += '''
+def get_request_model(slug: str) -> Optional[Type[BaseModel]]:
+    """Get the request model for an evaluator by slug."""
+    return REQUEST_MODELS.get(slug)
+
+
+def get_response_model(slug: str) -> Optional[Type[BaseModel]]:
+    """Get the response model for an evaluator by slug."""
+    return RESPONSE_MODELS.get(slug)
+'''
+
+    (output_dir / "registry.py").write_text(content)
+
+    return len(slug_mappings)
+
+
+def generate_init_py(output_dir: Path) -> tuple[int, int]:
+    """Generate __init__.py with proper exports."""
+    # Extract class names from request.py
+    request_classes = []
+    request_file = output_dir / "request.py"
+    if request_file.exists():
+        content = request_file.read_text()
+        request_classes = re.findall(r"^class (\w+)\(", content, re.MULTILINE)
+
+    # Extract class names from response.py
+    response_classes = []
+    response_file = output_dir / "response.py"
+    if response_file.exists():
+        content = response_file.read_text()
+        response_classes = re.findall(r"^class (\w+)\(", content, re.MULTILINE)
+
+    # Generate __init__.py
+    init_content = '''# generated by datamodel-codegen
+# Models for v2/evaluators/execute endpoints from OpenAPI spec
+#
+# DO NOT EDIT MANUALLY - Regenerate with:
+#   ./scripts/generate-models.sh /path/to/swagger.json
+
+'''
+
+    # Import request models
+    if request_classes:
+        init_content += "from .request import (\n"
+        for cls in sorted(request_classes):
+            init_content += f"    {cls},\n"
+        init_content += ")\n\n"
+
+    # Import registry
+    init_content += """from .registry import (
+    REQUEST_MODELS,
+    RESPONSE_MODELS,
+    get_request_model,
+    get_response_model,
+)
+
+"""
+
+    # Import response models
+    if response_classes:
+        init_content += "from .response import (\n"
+        for cls in sorted(response_classes):
+            init_content += f"    {cls},\n"
+        init_content += ")\n\n"
+
+    # Generate __all__
+    init_content += "__all__ = [\n"
+    init_content += "    # Registry functions\n"
+    init_content += '    "REQUEST_MODELS",\n'
+    init_content += '    "RESPONSE_MODELS",\n'
+    init_content += '    "get_request_model",\n'
+    init_content += '    "get_response_model",\n'
+
+    if request_classes:
+        init_content += "    # Evaluator request models\n"
+        for cls in sorted(request_classes):
+            init_content += f'    "{cls}",\n'
+    if response_classes:
+        init_content += "    # Evaluator response models\n"
+        for cls in sorted(response_classes):
+            init_content += f'    "{cls}",\n'
+    init_content += "]\n"
+
+    (output_dir / "__init__.py").write_text(init_content)
+
+    return len(request_classes), len(response_classes)
+
+
+def main():
+    if len(sys.argv) != 3:
+        print(f"Usage: {sys.argv[0]} <swagger_path> <output_dir>")
+        print(f"Example: {sys.argv[0]} /path/to/swagger.json ./generated")
+        sys.exit(1)
+
+    swagger_path = sys.argv[1]
+    output_dir = Path(sys.argv[2])
+
+    if not Path(swagger_path).exists():
+        print(f"Error: Swagger file not found at {swagger_path}")
+        sys.exit(1)
+
+    print("=== Extracting definitions for evaluator execute endpoints ===")
+
+    # Extract definitions and slug mappings
+    filtered_definitions, slug_mappings = extract_definitions_and_mappings(
+        swagger_path
+    )
+
+    request_count = len(
+        [k for k in filtered_definitions if k.startswith("request.")]
+    )
+    response_count = len(
+        [k for k in filtered_definitions if k.startswith("response.")]
+    )
+
+    print(f"Extracted {len(filtered_definitions)} definitions")
+    print(f"Request types: {request_count}")
+    print(f"Response types: {response_count}")
+    print(f"Evaluator slugs: {len(slug_mappings)}")
+
+    # Create JSON Schema with filtered definitions
+    schema = {
+        "$schema": "http://json-schema.org/draft-07/schema#",
+        "definitions": filtered_definitions,
+        "type": "object",
+    }
+
+    # Write to temp file
+    with tempfile.NamedTemporaryFile(
+        mode="w", suffix=".json", delete=False
+    ) as f:
+        json.dump(schema, f, indent=2)
+        temp_schema = f.name
+
+    print("=== Generating Pydantic models ===")
+
+    # Create output directory
+    output_dir.mkdir(parents=True, exist_ok=True)
+
+    # Run datamodel-codegen
+    try:
+        subprocess.run(
+            [
+                "datamodel-codegen",
+                "--input", temp_schema,
+                "--input-file-type", "jsonschema",
+                "--output", str(output_dir),
+                "--output-model-type", "pydantic_v2.BaseModel",
+                "--target-python-version", "3.10",
+                "--use-standard-collections",
+                "--reuse-model",
+                "--disable-timestamp",
+            ],
+            check=True,
+        )
+    finally:
+        # Cleanup temp file
+        Path(temp_schema).unlink(missing_ok=True)
+
+    print("=== Generating registry.py with slug mappings ===")
+    registry_count = generate_registry_py(output_dir, slug_mappings)
+    print(f"Generated registry.py with {registry_count} evaluator mappings")
+
+    print("=== Generating __init__.py with exports ===")
+    req_count, resp_count = generate_init_py(output_dir)
+    print(
+        f"Generated __init__.py with {req_count} request "
+        f"and {resp_count} response exports"
+    )
+
+    print("=== Model generation complete ===")
+    print(f"Output written to: {output_dir}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/generate-models.sh b/scripts/generate-models.sh
new file mode 100755
index 0000000000..aeac6c1514
--- /dev/null
+++ b/scripts/generate-models.sh
@@ -0,0 +1,35 @@
+#!/bin/bash
+set -euo pipefail
+
+# Generate Pydantic models from OpenAPI/Swagger spec
+# Extracts models used by v2/evaluators/execute/* endpoints
+# Usage: ./scripts/generate-models.sh /path/to/swagger.json
+
+if [ $# -eq 0 ]; then
+    echo "Usage: $0 <path-to-swagger.json>"
+    echo "Example: $0 /path/to/api-service/docs/swagger.json"
+    exit 1
+fi
+
+SWAGGER_PATH="$1"
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ROOT_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
+OUTPUT_DIR="${ROOT_DIR}/packages/traceloop-sdk/traceloop/sdk/generated/evaluators"
+CODEGEN_SCRIPT="${SCRIPT_DIR}/codegen/generate_evaluator_models.py"
+
+if [ ! -f "${SWAGGER_PATH}" ]; then
+    echo "Error: Swagger file not found at ${SWAGGER_PATH}"
+    exit 1
+fi
+
+echo "=== Generating models from ${SWAGGER_PATH} ==="
+
+# Change to traceloop-sdk directory for poetry
+cd "${ROOT_DIR}/packages/traceloop-sdk"
+
+# Run the Python generation script
+poetry run python "${CODEGEN_SCRIPT}" "${SWAGGER_PATH}" "${OUTPUT_DIR}"
+
+echo ""
+echo "Generated files:"
+ls -la "${OUTPUT_DIR}"