diff --git a/src/poetry.lock b/src/poetry.lock
index 75baf752..e756dca6 100644
--- a/src/poetry.lock
+++ b/src/poetry.lock
@@ -195,6 +195,37 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
+[[package]]
+name = "anthropic"
+version = "0.120.2"
+description = "The official Python library for the anthropic API"
+optional = false
+python-versions = ">=3.9"
+groups = ["optional"]
+files = [
+    {file = "anthropic-0.120.2-py3-none-any.whl", hash = "sha256:0f0bc2b381dc0eb41c8d886b815d79c2041cd2374f83aed36f574b6dc9c579c1"},
+    {file = "anthropic-0.120.2.tar.gz", hash = "sha256:9722efc10c27a30a69f5338ddacdb35bc6a64297a4e4ba729bf83af873d5fb3a"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+docstring-parser = ">=0.15,<1"
+httpx = ">=0.25.0,<1"
+jiter = ">=0.4.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+typing-extensions = ">=4.14,<5"
+
+[package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9,<1)"]
+aws = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+google-cloud = ["google-auth[requests] (>=2,<3)"]
+mcp = ["mcp (>=1.0,<3) ; python_version >= \"3.10\""]
+vertex = ["google-auth[requests] (>=2,<3)"]
+webhooks = ["standardwebhooks (>=1.0.1,<2)"]
+
 [[package]]
 name = "anyio"
 version = "4.14.2"
@@ -618,7 +649,7 @@ version = "2.1.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.10"
-groups = ["main"]
+groups = ["main", "optional"]
 markers = "platform_python_implementation != \"PyPy\""
 files = [
     {file = "cffi-2.1.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:b65f590ef2a44640f9a05dbb548a429b4ade77913ce683ac8b1480777658a6c0"},
@@ -1054,7 +1085,7 @@ version = "49.0.0"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.9"
-groups = ["main"]
+groups = ["main", "optional"]
 files = [
     {file = "cryptography-49.0.0-cp311-abi3-macosx_11_0_arm64.whl", hash = "sha256:966fe0e9c67490071f14c0d2b1cb2dfb3023c5ce39457343931415f08382f2db"},
     {file = "cryptography-49.0.0-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:36d1709f992593689b45bda411498d62c6e365f2ca00b84657d4dadd24de16db"},
@@ -1210,6 +1241,23 @@ files = [
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
+[[package]]
+name = "docstring-parser"
+version = "0.18.0"
+description = "Parse Python docstrings in reST, Google and Numpydoc format"
+optional = false
+python-versions = ">=3.8"
+groups = ["optional"]
+files = [
+    {file = "docstring_parser-0.18.0-py3-none-any.whl", hash = "sha256:b3fcbed555c47d8479be0796ef7e19c2670d428d72e96da63f3a40122860374b"},
+    {file = "docstring_parser-0.18.0.tar.gz", hash = "sha256:292510982205c12b1248696f44959db3cdd1740237a968ea1e2e7a900eeb2015"},
+]
+
+[package.extras]
+dev = ["pre-commit (>=2.16.0) ; python_version >= \"3.9\"", "pydoctor (>=25.4.0)", "pytest"]
+docs = ["pydoctor (>=25.4.0)"]
+test = ["pytest"]
+
 [[package]]
 name = "durationpy"
 version = "0.10"
@@ -1268,6 +1316,18 @@ files = [
     {file = "filelock-3.31.2.tar.gz", hash = "sha256:e6d35965c709527915a184837a8421826d18bc3f9d7e9a5a0c8114a782475d66"},
 ]
 
+[[package]]
+name = "filetype"
+version = "1.2.0"
+description = "Infer file type and MIME type of any file/buffer. No external dependencies."
+optional = false
+python-versions = "*"
+groups = ["optional"]
+files = [
+    {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"},
+    {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
+]
+
 [[package]]
 name = "flake8"
 version = "7.3.0"
@@ -1494,6 +1554,91 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "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 (<3.2.0)", "zstandard ; python_version < \"3.14\""]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "google-ai-generativelanguage"
+version = "0.12.0"
+description = "Google Ai Generativelanguage API client library"
+optional = false
+python-versions = ">=3.10"
+groups = ["optional"]
+files = [
+    {file = "google_ai_generativelanguage-0.12.0-py3-none-any.whl", hash = "sha256:c5a379f59d08b3916ed4468f3f88f1939ff5d2ddebbf507d0efea819f786f69c"},
+    {file = "google_ai_generativelanguage-0.12.0.tar.gz", hash = "sha256:d82f35ade52887476d4586e3cd22fb95492edac47505370e0cb71148168dd94b"},
+]
+
+[package.dependencies]
+google-api-core = {version = ">=2.17.1,<3.0.0", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
+grpcio = ">=1.59.0,<2.0.0"
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+]
+protobuf = ">=4.25.8,<8.0.0"
+
+[[package]]
+name = "google-api-core"
+version = "2.33.0"
+description = "Google API client core library"
+optional = false
+python-versions = ">=3.10"
+groups = ["optional"]
+files = [
+    {file = "google_api_core-2.33.0-py3-none-any.whl", hash = "sha256:a2e22a0c1d0f03eafff1858b38cf46f832d5902b0c052235bf0ab8402929fbdc"},
+    {file = "google_api_core-2.33.0.tar.gz", hash = "sha256:3a36bcc3e319783f4c97da41f6f45ea6ffcaa55848e341de16e09cb70243c2bb"},
+]
+
+[package.dependencies]
+google-auth = ">=2.14.1,<3.0.0"
+googleapis-common-protos = ">=1.63.2,<2.0.0"
+grpcio = [
+    {version = ">=1.41.0,<2.0.0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+]
+grpcio-status = [
+    {version = ">=1.41.0,<2.0.0", optional = true, markers = "extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+]
+proto-plus = [
+    {version = ">=1.24.0,<2.0.0"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+]
+protobuf = ">=5.29.6,<8.0.0"
+requests = ">=2.33.0,<3.0.0"
+
+[package.extras]
+async-rest = ["aiohttp (>=3.13.4)", "google-auth[aiohttp] (>=2.14.1,<3.0.0)"]
+grpc = ["grpcio (>=1.41.0,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio (>=1.75.1,<2.0.0) ; python_version >= \"3.14\"", "grpcio-status (>=1.41.0,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.75.1,<2.0.0) ; python_version >= \"3.14\""]
+
+[[package]]
+name = "google-auth"
+version = "2.56.2"
+description = "Google Authentication Library"
+optional = false
+python-versions = ">=3.10"
+groups = ["optional"]
+files = [
+    {file = "google_auth-2.56.2-py3-none-any.whl", hash = "sha256:c8270ea95b2697b74e3d8438ae9c5b898e38b623b915c7b5c5635921e7de68a6"},
+    {file = "google_auth-2.56.2.tar.gz", hash = "sha256:e28f103ca8091fb7012b99c44243d7366c29863713b8e34a220c3322b7a07051"},
+]
+
+[package.dependencies]
+cryptography = {version = ">=38.0.3", markers = "python_version < \"3.14\""}
+pyasn1-modules = ">=0.2.1"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.8.0,<4.0.0) ; python_version < \"3.14\"", "aiohttp (>=3.9.0,<4.0.0) ; python_version >= \"3.14\"", "requests (>=2.30.0,<3.0.0)"]
+cryptography = ["cryptography (>=38.0.3) ; python_version < \"3.14\"", "cryptography (>=41.0.5) ; python_version >= \"3.14\""]
+enterprise-cert = ["cryptography (>=38.0.3) ; python_version < \"3.14\"", "cryptography (>=41.0.5) ; python_version >= \"3.14\""]
+grpc = ["grpcio (>=1.59.0,<2.0.0) ; python_version < \"3.14\"", "grpcio (>=1.75.1,<2.0.0) ; python_version >= \"3.14\""]
+pyjwt = ["pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (>=38.0.3) ; python_version < \"3.14\"", "cryptography (>=41.0.5) ; python_version >= \"3.14\""]
+reauth = ["pyu2f (>=0.1.5)"]
+requests = ["requests (>=2.30.0,<3.0.0)"]
+rsa = ["rsa (>=4.0.0,<5)"]
+testing = ["aiohttp (>=3.8.0,<4.0.0) ; python_version < \"3.14\"", "aiohttp (>=3.9.0,<4.0.0) ; python_version >= \"3.14\"", "aioresponses", "flask", "freezegun", "grpcio (>=1.59.0,<2.0.0) ; python_version < \"3.14\"", "grpcio (>=1.75.1,<2.0.0) ; python_version >= \"3.14\"", "packaging (>=20.0)", "pyjwt (>=2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.30.0,<3.0.0)", "responses", "urllib3 (>=1.26.15,<3.0.0)"]
+urllib3 = ["packaging (>=20.0)", "urllib3 (>=1.26.15,<3.0.0)"]
+
 [[package]]
 name = "googleapis-common-protos"
 version = "1.75.0"
@@ -1673,6 +1818,23 @@ typing-extensions = ">=4.12,<5.0"
 [package.extras]
 protobuf = ["grpcio-tools (>=1.82.1)"]
 
+[[package]]
+name = "grpcio-status"
+version = "1.82.1"
+description = "Status proto mapping for gRPC"
+optional = false
+python-versions = ">=3.10"
+groups = ["optional"]
+files = [
+    {file = "grpcio_status-1.82.1-py3-none-any.whl", hash = "sha256:71c7f2bea725c0027fa396b77a55d4e9d90591bab90de4c1c03d4df9a56552f0"},
+    {file = "grpcio_status-1.82.1.tar.gz", hash = "sha256:d9de8ac34763cd468130fdd2923294af7c3d28d09426f6c45221d27c25931130"},
+]
+
+[package.dependencies]
+googleapis-common-protos = ">=1.5.5"
+grpcio = ">=1.82.1"
+protobuf = ">=7.35.1,<8.0.0"
+
 [[package]]
 name = "h11"
 version = "0.16.0"
@@ -1893,7 +2055,7 @@ description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.10"
 groups = ["optional"]
-markers = "python_full_version < \"3.10.2\""
+markers = "python_version == \"3.10\" and python_full_version < \"3.10.2\""
 files = [
     {file = "importlib_metadata-9.0.0-py3-none-any.whl", hash = "sha256:2d21d1cc5a017bd0559e36150c21c830ab1dc304dedd1b7ea85d20f45ef3edd7"},
     {file = "importlib_metadata-9.0.0.tar.gz", hash = "sha256:a4f57ab599e6a2e3016d7595cfd72eb4661a5106e787a95bcc90c7105b831efc"},
@@ -1982,7 +2144,7 @@ version = "0.16.0"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
+groups = ["main", "optional"]
 files = [
     {file = "jiter-0.16.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c5fc4f8def331036a7b8e981b4347ebe409981edbc8308a5ea842b8c3614fa6c"},
     {file = "jiter-0.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5a71d0d2014c3275043e1170bf3d4e771493cb0dcf07be54c567155f4d8ee64b"},
@@ -2206,6 +2368,23 @@ websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
 [package.extras]
 google-auth = ["google-auth (>=1.0.1)"]
 
+[[package]]
+name = "langchain-anthropic"
+version = "1.5.4"
+description = "Integration package connecting Claude (Anthropic) APIs and LangChain"
+optional = false
+python-versions = "<4.0.0,>=3.10.0"
+groups = ["optional"]
+files = [
+    {file = "langchain_anthropic-1.5.4-py3-none-any.whl", hash = "sha256:730a9cb1ad384c9f1642840469c1ebbf20237066b1635f5d4fa9876e365fceaf"},
+    {file = "langchain_anthropic-1.5.4.tar.gz", hash = "sha256:113cb9bdac3169f2da65ea395dedb290e30dc6f899d01c205ba88aa88a2a02c2"},
+]
+
+[package.dependencies]
+anthropic = ">=0.120.0,<1.0.0"
+langchain-core = ">=1.5.2,<2.0.0"
+pydantic = ">=2.7.4,<3.0.0"
+
 [[package]]
 name = "langchain-chroma"
 version = "0.2.6"
@@ -2318,6 +2497,24 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
 typing-extensions = ">=4.7.0,<5.0.0"
 uuid-utils = ">=0.12.0,<1.0"
 
+[[package]]
+name = "langchain-google-genai"
+version = "2.1.12"
+description = "An integration package connecting Google's genai package and LangChain"
+optional = false
+python-versions = ">=3.9"
+groups = ["optional"]
+files = [
+    {file = "langchain_google_genai-2.1.12-py3-none-any.whl", hash = "sha256:4c07630419a8fbe7a2ec512c6dea68289663bfe7d5fae0ba431d2cd59a0d0880"},
+    {file = "langchain_google_genai-2.1.12.tar.gz", hash = "sha256:4a98371e545eb97fcdf483086a4aebbb8eceeb9597ca5a9c4c35e92f4fbbd271"},
+]
+
+[package.dependencies]
+filetype = ">=1.2,<2"
+google-ai-generativelanguage = ">=0.7,<1"
+langchain-core = ">=0.3.75"
+pydantic = ">=2,<3"
+
 [[package]]
 name = "langchain-openai"
 version = "1.4.1"
@@ -2841,7 +3038,7 @@ description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
 groups = ["optional"]
-markers = "python_version < \"3.13\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -3285,7 +3482,7 @@ description = "ONNX Runtime is a runtime accelerator for Machine Learning models
 optional = false
 python-versions = ">=3.10"
 groups = ["optional"]
-markers = "python_version < \"3.13\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "onnxruntime-1.24.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3e6456801c66b095c5cd68e690ca25db970ea5202bd0c5b84a2c3ef7731c5a3c"},
     {file = "onnxruntime-1.24.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8b2ebc54c6d8281dccff78d4b06e47d4cf07535937584ab759448390a70f4978"},
@@ -3327,7 +3524,7 @@ description = "ONNX Runtime is a runtime accelerator for Machine Learning models
 optional = false
 python-versions = ">=3.11"
 groups = ["optional"]
-markers = "python_version == \"3.13\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "onnxruntime-1.27.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:8ba14a38c570087f3cdb8cfba33f7a38a1e826c1e5b29e17c28ceda0cc910016"},
     {file = "onnxruntime-1.27.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2eb083321af8a236a84c7c140a7f4cecbfa2a987a18c07c78db471c20cd390ef"},
@@ -3858,6 +4055,24 @@ files = [
     {file = "propcache-0.5.2.tar.gz", hash = "sha256:01c4fc7480cd0598bb4b57022df55b9ca296da7fc5a8760bd8451a7e63a7d427"},
 ]
 
+[[package]]
+name = "proto-plus"
+version = "1.28.2"
+description = "Beautiful, Pythonic protocol buffers"
+optional = false
+python-versions = ">=3.10"
+groups = ["optional"]
+files = [
+    {file = "proto_plus-1.28.2-py3-none-any.whl", hash = "sha256:b874236fcac2358f601e4330bcb76cb8b89c851303ccf4078408b3d4774d1c52"},
+    {file = "proto_plus-1.28.2.tar.gz", hash = "sha256:26d843eb99c1e32fdf1d20ff0faae56607f7748fe774acf9ecd5cfe6c6472501"},
+]
+
+[package.dependencies]
+protobuf = ">=4.25.8,<8.0.0"
+
+[package.extras]
+testing = ["google-api-core (>=1.31.5)"]
+
 [[package]]
 name = "protobuf"
 version = "7.35.1"
@@ -3876,6 +4091,33 @@ files = [
     {file = "protobuf-7.35.1.tar.gz", hash = "sha256:ce115a26fe0c39a2c29973d914d327e516a6455464489fe3cd1e51a1b354f81a"},
 ]
 
+[[package]]
+name = "pyasn1"
+version = "0.6.4"
+description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
+optional = false
+python-versions = ">=3.8"
+groups = ["optional"]
+files = [
+    {file = "pyasn1-0.6.4-py3-none-any.whl", hash = "sha256:deda9277cfd454080ec40b207fb6df82206a3a2688735233cdcd8d3d565f088b"},
+    {file = "pyasn1-0.6.4.tar.gz", hash = "sha256:9c447d8431c947fe4c8febc4ed9e760bc29011a5b01e5c74b67025bd9fb8ce81"},
+]
+
+[[package]]
+name = "pyasn1-modules"
+version = "0.4.2"
+description = "A collection of ASN.1-based protocols modules"
+optional = false
+python-versions = ">=3.8"
+groups = ["optional"]
+files = [
+    {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"},
+    {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"},
+]
+
+[package.dependencies]
+pyasn1 = ">=0.6.1,<0.7.0"
+
 [[package]]
 name = "pybase64"
 version = "1.4.3"
@@ -4119,12 +4361,12 @@ version = "3.0"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.10"
-groups = ["main"]
-markers = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\""
+groups = ["main", "optional"]
 files = [
     {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"},
     {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"},
 ]
+markers = {main = "implementation_name != \"PyPy\" and platform_python_implementation != \"PyPy\"", optional = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\""}
 
 [[package]]
 name = "pydantic"
@@ -4932,7 +5174,7 @@ description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "optional"]
-markers = "python_version < \"3.13\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288"},
     {file = "rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00"},
@@ -5058,7 +5300,7 @@ description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.11"
 groups = ["main", "optional"]
-markers = "python_version == \"3.13\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "rpds_py-2026.6.3-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:7b689145a1485c335569bd056464f3243a29af7ed3871c7be31ad624ba239bc7"},
     {file = "rpds_py-2026.6.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:db08f45aecde626498fb3df07bcf6d2ec040af42e859a4f5040d79c200342911"},
@@ -5662,7 +5904,7 @@ description = "Manage dynamic plugins for Python applications"
 optional = false
 python-versions = ">=3.10"
 groups = ["lint"]
-markers = "python_version < \"3.13\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "stevedore-5.8.0-py3-none-any.whl", hash = "sha256:88eede9e66ca80e34085b9174e2327da2c61ac91f24f70e41c3ad76e4bb4872b"},
     {file = "stevedore-5.8.0.tar.gz", hash = "sha256:b49867b32ca3016e94100e68dbf26e72aa7b8708d0a3f73c08aeb220370ac715"},
@@ -5675,7 +5917,7 @@ description = "Manage dynamic plugins for Python applications"
 optional = false
 python-versions = ">=3.11"
 groups = ["lint"]
-markers = "python_version == \"3.13\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "stevedore-5.9.0-py3-none-any.whl", hash = "sha256:e520945d4c257700eddc1eb1d79df04b2ea578eef185e0e3fa5b442fc848d3f7"},
     {file = "stevedore-5.9.0.tar.gz", hash = "sha256:abbd0af7a38a8bbb1d6adea2e35b17609cf004eaac323e88a8d8963640dd2b3c"},
@@ -5688,7 +5930,7 @@ description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["optional"]
-markers = "python_version < \"3.13\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"},
     {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"},
@@ -5929,6 +6171,7 @@ description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 groups = ["lint", "optional", "test"]
+markers = "python_version == \"3.10\""
 files = [
     {file = "tomli-2.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f8f0fc26ec2cc2b965b7a3b87cd19c5c6b8c5e5f436b984e85f486d652285c30"},
     {file = "tomli-2.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4ab97e64ccda8756376892c53a72bd1f964e519c77236368527f758fbc36a53a"},
@@ -5978,7 +6221,6 @@ files = [
     {file = "tomli-2.4.1-py3-none-any.whl", hash = "sha256:0d85819802132122da43cb86656f8d1f8c6587d54ae7dcaf30e90533028b49fe"},
     {file = "tomli-2.4.1.tar.gz", hash = "sha256:7c7e1a961a0b2f2472c1ac5b69affa0ae1132c39adcb67aba98568702b9cc23f"},
 ]
-markers = {lint = "python_version == \"3.10\"", optional = "python_version == \"3.10\"", test = "python_full_version <= \"3.11.0a6\""}
 
 [[package]]
 name = "tqdm"
@@ -6276,7 +6518,7 @@ description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.1"
 groups = ["optional"]
-markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
+markers = "platform_python_implementation != \"PyPy\" and sys_platform != \"win32\" and sys_platform != \"cygwin\""
 files = [
     {file = "uvloop-0.22.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c"},
     {file = "uvloop-0.22.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7cd375a12b71d33d46af85a3343b35d98e8116134ba404bd657b3b1d15988792"},
@@ -7081,7 +7323,7 @@ description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.10"
 groups = ["optional"]
-markers = "python_full_version < \"3.10.2\""
+markers = "python_version == \"3.10\" and python_full_version < \"3.10.2\""
 files = [
     {file = "zipp-4.1.0-py3-none-any.whl", hash = "sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f"},
     {file = "zipp-4.1.0.tar.gz", hash = "sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602"},
@@ -7210,4 +7452,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
 [metadata]
 lock-version = "2.1"
 python-versions = "<3.14,>=3.10"
-content-hash = "d2f4fe1a207c68a39ea0ed7c1e12b423c0fe6d68f5ab0df70bba6468e9c26e37"
+content-hash = "32ebb94f73544e527df3d4d14674e7fbe0e6dd107fc6cf2ddba6730c8d16cf0d"
diff --git a/src/pyproject.toml b/src/pyproject.toml
index b72f5e9b..5963ef3d 100644
--- a/src/pyproject.toml
+++ b/src/pyproject.toml
@@ -54,6 +54,7 @@ nltk = "^3.9.1"
 # previously pulled in transitively by `unstructured`.
 transformers = "^5.14.1"
 
+
 [tool.poetry.group.test.dependencies]
 pytest = "^9.0.3"
 pytest-asyncio = "^1.0.0"
@@ -75,10 +76,11 @@ en_core_web_sm = {url = "https://github.com/explosion/spacy-models/releases/down
 # does not do. Bump once an upstream fixed release ships.
 chromadb = "^1.0.9"
 langchain-chroma = "^0.2.5"
+langchain-anthropic = ">=1.0.0,<2.0"
+langchain-google-genai = ">=2.0.0,<3.0"
 boto3 = "^1.28.77"
 beautifulsoup4 = "4.15.0"
 
-
 [tool.poetry.group.lint.dependencies]
 bandit = "^1.7.8"
 black = "^26.3.1"
diff --git a/src/sherpa_ai/models/__init__.py b/src/sherpa_ai/models/__init__.py
index e74bec9e..b319990b 100644
--- a/src/sherpa_ai/models/__init__.py
+++ b/src/sherpa_ai/models/__init__.py
@@ -1,19 +1,16 @@
 """Language model integration module for Sherpa AI.
 
 This module provides language model integration for the Sherpa AI system.
-It exports the SherpaOpenAI and SherpaChatOpenAI classes which provide
-interfaces to OpenAI's language models with Sherpa-specific enhancements.
+It exports model wrappers with Sherpa-specific enhancements like usage tracking.
 
 Example:
-    >>> from sherpa_ai.models import SherpaOpenAI, SherpaChatOpenAI
-    >>> model = SherpaOpenAI()
-    >>> chat_model = SherpaChatOpenAI()
-    >>> response = model.generate("Hello")
-    >>> chat_response = chat_model.chat("How are you?")
+    >>> from sherpa_ai.models import SherpaLLM
+    >>> from langchain_openai import ChatOpenAI
+    >>> llm = SherpaLLM(llm=ChatOpenAI(), user_id="user123")
 """
 
 from sherpa_ai.models.sherpa_base_chat_model import SherpaChatOpenAI
 from sherpa_ai.models.sherpa_base_model import SherpaOpenAI
+from sherpa_ai.models.sherpa_llm import SherpaLLM
 
-
-__all__ = ["SherpaOpenAI", "SherpaChatOpenAI"]
+__all__ = ["SherpaOpenAI", "SherpaChatOpenAI", "SherpaLLM"]
\ No newline at end of file
diff --git a/src/sherpa_ai/models/sherpa_llm.py b/src/sherpa_ai/models/sherpa_llm.py
new file mode 100644
index 00000000..6cfd764c
--- /dev/null
+++ b/src/sherpa_ai/models/sherpa_llm.py
@@ -0,0 +1,150 @@
+"""Generic LLM wrapper with usage tracking for Sherpa AI.
+
+Wraps any LangChain BaseChatModel to add Sherpa's user-level token
+usage tracking.  Instead of creating a subclass per provider, pass
+any chat model instance and get usage tracking for free.
+
+Usage:
+    >>> from langchain_openai import ChatOpenAI
+    >>> from sherpa_ai.models.sherpa_llm import SherpaLLM
+    >>> llm = SherpaLLM(llm=ChatOpenAI(model="gpt-4o"), user_id="user123")
+    >>> result = llm.invoke("Hello")
+
+    >>> from langchain_anthropic import ChatAnthropic
+    >>> llm = SherpaLLM(llm=ChatAnthropic(model="claude-sonnet-4-20250514"), user_id="user123")
+"""
+
+from typing import Any, List, Optional
+
+from langchain_core.callbacks import (
+    AsyncCallbackManagerForLLMRun,
+    CallbackManagerForLLMRun,
+)
+from langchain_core.language_models import BaseChatModel
+from langchain_core.messages import BaseMessage
+from langchain_core.outputs import ChatResult
+from pydantic import ConfigDict
+
+from sherpa_ai.database.user_usage_tracker import UserUsageTracker
+from sherpa_ai.models.sherpa_base_chat_model import usage_metadata_from_result
+from sherpa_ai.verbose_loggers.base import BaseVerboseLogger
+
+
+class SherpaLLM(BaseChatModel):
+    """Provider-agnostic chat model wrapper with usage tracking.
+
+    Wraps any LangChain ``BaseChatModel`` and intercepts ``_generate``
+    to record per-user token usage via ``UserUsageTracker``.  This
+    replaces the need for a separate ``Sherpa*`` subclass per provider.
+
+    Attributes:
+        llm (BaseChatModel): The underlying LangChain chat model.
+        user_id (Optional[str]): User ID for usage tracking.
+        session_id (Optional[str]): Session ID for usage tracking.
+        agent_name (Optional[str]): Agent name for usage tracking.
+        verbose_logger (BaseVerboseLogger): Logger for detailed tracking.
+
+    Example:
+        >>> from langchain_openai import ChatOpenAI
+        >>> llm = SherpaLLM(llm=ChatOpenAI(), user_id="u1")
+        >>> llm.invoke("Hello")
+    """
+
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    llm: BaseChatModel
+    user_id: Optional[str] = None
+    session_id: Optional[str] = None
+    agent_name: Optional[str] = None
+    verbose_logger: BaseVerboseLogger = None
+
+    @property
+    def _llm_type(self) -> str:
+        """Return the type identifier of the wrapped model."""
+        return self.llm._llm_type
+
+    def _generate(
+        self,
+        messages: List[BaseMessage],
+        stop: Optional[List[str]] = None,
+        run_manager: Optional[CallbackManagerForLLMRun] = None,
+        **kwargs: Any,
+    ) -> ChatResult:
+        """Generate a response and track token usage.
+
+        Delegates to the wrapped model's ``_generate``, then records
+        usage metadata if a ``user_id`` is set.
+
+        Args:
+            messages: Conversation messages.
+            stop: Optional stop sequences.
+            run_manager: Optional callback manager.
+            **kwargs: Passed through to the wrapped model.
+
+        Returns:
+            ChatResult: The wrapped model's response.
+        """
+        response = self.llm._generate(messages, stop, run_manager, **kwargs)
+
+        if self.user_id:
+            self._track_usage(response)
+
+        return response
+
+    async def _agenerate(
+        self,
+        messages: List[BaseMessage],
+        stop: Optional[List[str]] = None,
+        run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
+        **kwargs: Any,
+    ) -> ChatResult:
+        """Asynchronously generate a response and track token usage.
+
+        Args:
+            messages: Conversation messages.
+            stop: Optional stop sequences.
+            run_manager: Optional async callback manager.
+            **kwargs: Passed through to the wrapped model.
+
+        Returns:
+            ChatResult: The wrapped model's response.
+        """
+        response = await self.llm._agenerate(messages, stop, run_manager, **kwargs)
+
+        if self.user_id:
+            self._track_usage(response)
+
+        return response
+
+    def _track_usage(self, response: ChatResult) -> None:
+        """Record token usage from a chat response.
+
+        Args:
+            response: The chat result to extract usage from.
+        """
+        user_db = UserUsageTracker(verbose_logger=self.verbose_logger)
+
+        model_name = getattr(self.llm, "model_name", None) or getattr(
+            self.llm, "model", "unknown"
+        )
+        usage_metadata = usage_metadata_from_result(response)
+
+        if usage_metadata:
+            user_db.add_usage(
+                user_id=self.user_id,
+                usage_metadata=usage_metadata,
+                model_name=model_name,
+                session_id=self.session_id,
+                agent_name=self.agent_name,
+            )
+        else:
+            user_db.add_usage(
+                user_id=self.user_id,
+                input_tokens=0,
+                output_tokens=0,
+                model_name=model_name,
+                session_id=self.session_id,
+                agent_name=self.agent_name,
+            )
+
+        user_db.close_connection()
\ No newline at end of file
diff --git a/src/sherpa_ai/test_utils/llms.py b/src/sherpa_ai/test_utils/llms.py
index f068d061..80d206be 100644
--- a/src/sherpa_ai/test_utils/llms.py
+++ b/src/sherpa_ai/test_utils/llms.py
@@ -9,9 +9,9 @@
 import re
 
 import pytest
+from langchain_openai import ChatOpenAI
 from langchain_core.language_models import BaseLanguageModel, FakeListLLM
 from langchain_core.language_models.fake_chat_models import FakeListChatModel
-from langchain_openai import ChatOpenAI
 
 from sherpa_ai.models.chat_model_with_logging import ChatModelWithLogging
 from sherpa_ai.test_utils.loggers import get_new_logger
diff --git a/src/sherpa_ai/utils.py b/src/sherpa_ai/utils.py
index ceac1ab6..3b8f120e 100644
--- a/src/sherpa_ai/utils.py
+++ b/src/sherpa_ai/utils.py
@@ -444,8 +444,14 @@ def count_string_tokens(string: str, model_name: str) -> int:
     Returns:
         int: The number of tokens in the text string.
     """
-    encoding = tiktoken.encoding_for_model(model_name)
-    return len(encoding.encode(string))
+
+    try: 
+        encoding = tiktoken.encoding_for_model(model_name)
+        return len(encoding.encode(string))
+    except KeyError: 
+        # Fall back to cl100k_base encoding for non-OpenAI models that tiktoken doesn't recognize
+        encoding = tiktoken.get_encoding("cl100k_base")
+        return len(encoding.encode(string))
 
 
 def chunk_and_summarize(text_data: str, question: str, link: str, llm):