diff --git a/app/backend/models/schemas.py b/app/backend/models/schemas.py
index 966732d07..eb7994b91 100644
--- a/app/backend/models/schemas.py
+++ b/app/backend/models/schemas.py
@@ -65,6 +65,7 @@ class BaseHedgeFundRequest(BaseModel):
     agent_models: Optional[List[AgentModelConfig]] = None
     model_name: Optional[str] = "gpt-4.1"
     model_provider: Optional[ModelProvider] = ModelProvider.OPENAI
+    data_provider: Optional[str] = "yfinance"  # Default to free option
     margin_requirement: float = 0.0
     portfolio_positions: Optional[List[PortfolioPosition]] = None
     api_keys: Optional[Dict[str, str]] = None
diff --git a/app/backend/services/graph.py b/app/backend/services/graph.py
index 958c316b3..0a91e1939 100644
--- a/app/backend/services/graph.py
+++ b/app/backend/services/graph.py
@@ -129,12 +129,12 @@ def create_graph(graph_nodes: list, graph_edges: list) -> StateGraph:
     return graph
 
 
-async def run_graph_async(graph, portfolio, tickers, start_date, end_date, model_name, model_provider, request=None):
+async def run_graph_async(graph, portfolio, tickers, start_date, end_date, model_name, model_provider, data_provider="yfinance", request=None):
     """Async wrapper for run_graph to work with asyncio."""
     # Use run_in_executor to run the synchronous function in a separate thread
     # so it doesn't block the event loop
     loop = asyncio.get_running_loop()
-    result = await loop.run_in_executor(None, lambda: run_graph(graph, portfolio, tickers, start_date, end_date, model_name, model_provider, request))  # Use default executor
+    result = await loop.run_in_executor(None, lambda: run_graph(graph, portfolio, tickers, start_date, end_date, model_name, model_provider, data_provider, request))  # Use default executor
     return result
 
 
@@ -146,6 +146,7 @@ def run_graph(
     end_date: str,
     model_name: str,
     model_provider: str,
+    data_provider: str = "yfinance",
     request=None,
 ) -> dict:
     """
@@ -171,6 +172,7 @@ def run_graph(
                 "show_reasoning": False,
                 "model_name": model_name,
                 "model_provider": model_provider,
+                "data_provider": data_provider,
                 "request": request,  # Pass the request for agent-specific model access
             },
         },
diff --git a/poetry.lock b/poetry.lock
index c1c5cfdb8..f4bd3adbf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
 
 [[package]]
 name = "alembic"
@@ -6,6 +6,7 @@ version = "1.15.2"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "alembic-1.15.2-py3-none-any.whl", hash = "sha256:2e76bd916d547f6900ec4bb5a90aeac1485d2c92536923d0b138c02b126edc53"},
     {file = "alembic-1.15.2.tar.gz", hash = "sha256:1c72391bbdeffccfe317eefba686cb9a3c078005478885413b95c3b26c57a8a7"},
@@ -25,6 +26,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 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"},
@@ -36,6 +38,7 @@ version = "0.50.0"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "anthropic-0.50.0-py3-none-any.whl", hash = "sha256:defbd79327ca2fa61fd7b9eb2f1627dfb1f69c25d49288c52e167ddb84574f80"},
     {file = "anthropic-0.50.0.tar.gz", hash = "sha256:42175ec04ce4ff2fa37cd436710206aadff546ee99d70d974699f59b49adc66f"},
@@ -60,6 +63,7 @@ version = "3.7.1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
     {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
@@ -71,15 +75,39 @@ sniffio = ">=1.1"
 
 [package.extras]
 doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
-test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4) ; python_version < \"3.8\"", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17) ; python_version < \"3.12\" and platform_python_implementation == \"CPython\" and platform_system != \"Windows\""]
 trio = ["trio (<0.22)"]
 
+[[package]]
+name = "beautifulsoup4"
+version = "4.13.4"
+description = "Screen-scraping library"
+optional = false
+python-versions = ">=3.7.0"
+groups = ["main"]
+files = [
+    {file = "beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b"},
+    {file = "beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195"},
+]
+
+[package.dependencies]
+soupsieve = ">1.2"
+typing-extensions = ">=4.0.0"
+
+[package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
+html5lib = ["html5lib"]
+lxml = ["lxml"]
+
 [[package]]
 name = "black"
 version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"},
     {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"},
@@ -114,7 +142,7 @@ platformdirs = ">=2"
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.7.4) ; sys_platform != \"win32\" or implementation_name != \"pypy\"", "aiohttp (>=3.7.4,!=3.9.0) ; sys_platform == \"win32\" and implementation_name == \"pypy\""]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
@@ -124,6 +152,7 @@ version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
     {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
@@ -135,6 +164,7 @@ version = "2025.4.26"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"},
     {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"},
@@ -146,6 +176,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -225,6 +256,7 @@ version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 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"},
@@ -326,6 +358,7 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
@@ -340,6 +373,7 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -351,6 +385,7 @@ version = "1.3.2"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
 files = [
     {file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"},
     {file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"},
@@ -421,12 +456,43 @@ mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.15.0)", "
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
 
+[[package]]
+name = "curl-cffi"
+version = "0.13.0"
+description = "libcurl ffi bindings for Python, with impersonation support."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "curl_cffi-0.13.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:434cadbe8df2f08b2fc2c16dff2779fb40b984af99c06aa700af898e185bb9db"},
+    {file = "curl_cffi-0.13.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:59afa877a9ae09efa04646a7d068eeea48915a95d9add0a29854e7781679fcd7"},
+    {file = "curl_cffi-0.13.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d06ed389e45a7ca97b17c275dbedd3d6524560270e675c720e93a2018a766076"},
+    {file = "curl_cffi-0.13.0-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b4e0de45ab3b7a835c72bd53640c2347415111b43421b5c7a1a0b18deae2e541"},
+    {file = "curl_cffi-0.13.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8eb4083371bbb94e9470d782de235fb5268bf43520de020c9e5e6be8f395443f"},
+    {file = "curl_cffi-0.13.0-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:28911b526e8cd4aa0e5e38401bfe6887e8093907272f1f67ca22e6beb2933a51"},
+    {file = "curl_cffi-0.13.0-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:6d433ffcb455ab01dd0d7bde47109083aa38b59863aa183d29c668ae4c96bf8e"},
+    {file = "curl_cffi-0.13.0-cp39-abi3-win_amd64.whl", hash = "sha256:66a6b75ce971de9af64f1b6812e275f60b88880577bac47ef1fa19694fa21cd3"},
+    {file = "curl_cffi-0.13.0-cp39-abi3-win_arm64.whl", hash = "sha256:d438a3b45244e874794bc4081dc1e356d2bb926dcc7021e5a8fef2e2105ef1d8"},
+    {file = "curl_cffi-0.13.0.tar.gz", hash = "sha256:62ecd90a382bd5023750e3606e0aa7cb1a3a8ba41c14270b8e5e149ebf72c5ca"},
+]
+
+[package.dependencies]
+certifi = ">=2024.2.2"
+cffi = ">=1.12.0"
+
+[package.extras]
+build = ["cibuildwheel", "wheel"]
+dev = ["charset_normalizer (>=3.3.2,<4.0)", "coverage (>=6.4.1,<7.0)", "cryptography (>=42.0.5,<43.0)", "httpx (==0.23.1)", "mypy (>=1.9.0,<2.0)", "pytest (>=8.1.1,<9.0)", "pytest-asyncio (>=0.23.6,<1.0)", "pytest-trio (>=0.8.0,<1.0)", "ruff (>=0.3.5,<1.0)", "trio (>=0.25.0,<1.0)", "trustme (>=1.1.0,<2.0)", "typing_extensions", "uvicorn (>=0.29.0,<1.0)", "websockets (>=12.0,<13.0)"]
+extra = ["lxml_html_clean", "markdownify (>=1.1.0)", "readability-lxml (>=0.8.1)"]
+test = ["charset_normalizer (>=3.3.2,<4.0)", "cryptography (>=42.0.5,<43.0)", "fastapi (==0.110.0)", "httpx (==0.23.1)", "proxy.py (>=2.4.3,<3.0)", "pytest (>=8.1.1,<9.0)", "pytest-asyncio (>=0.23.6,<1.0)", "pytest-trio (>=0.8.0,<1.0)", "python-multipart (>=0.0.9,<1.0)", "trio (>=0.25.0,<1.0)", "trustme (>=1.1.0,<2.0)", "typing_extensions", "uvicorn (>=0.29.0,<1.0)", "websockets (>=12.0,<13.0)"]
+
 [[package]]
 name = "cycler"
 version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -442,6 +508,7 @@ version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
 files = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
     {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
@@ -453,6 +520,7 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -464,6 +532,7 @@ version = "0.104.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fastapi-0.104.1-py3-none-any.whl", hash = "sha256:752dc31160cdbd0436bb93bad51560b57e525cbb1d4bbf6f4904ceee75548241"},
     {file = "fastapi-0.104.1.tar.gz", hash = "sha256:e5e4540a7c5e1dcfbbcf5b903c234feddcdcd881f191977a1c5dfd917487e7ae"},
@@ -484,6 +553,7 @@ version = "0.0.7"
 description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fastapi_cli-0.0.7-py3-none-any.whl", hash = "sha256:d549368ff584b2804336c61f192d86ddea080c11255f375959627911944804f4"},
     {file = "fastapi_cli-0.0.7.tar.gz", hash = "sha256:02b3b65956f526412515907a0793c9094abd4bfb5457b389f645b0ea6ba3605e"},
@@ -503,6 +573,7 @@ version = "1.2.0"
 description = "Infer file type and MIME type of any file/buffer. No external dependencies."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"},
     {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
@@ -514,6 +585,7 @@ version = "6.1.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
 files = [
     {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
     {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
@@ -530,6 +602,7 @@ version = "4.57.0"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fonttools-4.57.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:babe8d1eb059a53e560e7bf29f8e8f4accc8b6cfb9b5fd10e485bde77e71ef41"},
     {file = "fonttools-4.57.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:81aa97669cd726349eb7bd43ca540cf418b279ee3caba5e2e295fb4e8f841c02"},
@@ -584,18 +657,83 @@ files = [
 ]
 
 [package.extras]
-all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
+all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\"", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0) ; python_version <= \"3.12\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
-interpolatable = ["munkres", "pycairo", "scipy"]
+interpolatable = ["munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\""]
 lxml = ["lxml (>=4.0)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
 repacker = ["uharfbuzz (>=0.23.0)"]
 symfont = ["sympy"]
-type1 = ["xattr"]
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 ufo = ["fs (>=2.2.0,<3)"]
-unicode = ["unicodedata2 (>=15.1.0)"]
-woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
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+
+[[package]]
+name = "frozendict"
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+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
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+]
+
+[[package]]
+name = "gigachat"
+version = "0.1.42.post1"
+description = "GigaChat. Python-library for GigaChain and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8"
+groups = ["main"]
+files = [
+    {file = "gigachat-0.1.42.post1-py3-none-any.whl", hash = "sha256:abd0e6623e179c39a51fcbd75471c3011449c1d6451dbbdbb847d29e98988902"},
+    {file = "gigachat-0.1.42.post1.tar.gz", hash = "sha256:bd0ffddc5c0fcee8deede84181fbce9b4c4a4f536ddcf5140016cecc83d92044"},
+]
+
+[package.dependencies]
+httpx = "<1"
+pydantic = ">=1"
 
 [[package]]
 name = "google-ai-generativelanguage"
@@ -603,6 +741,7 @@ version = "0.6.18"
 description = "Google Ai Generativelanguage API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "google_ai_generativelanguage-0.6.18-py3-none-any.whl", hash = "sha256:13d8174fea90b633f520789d32df7b422058fd5883b022989c349f1017db7fcf"},
     {file = "google_ai_generativelanguage-0.6.18.tar.gz", hash = "sha256:274ba9fcf69466ff64e971d565884434388e523300afd468fc8e3033cd8e606e"},
@@ -612,8 +751,8 @@ files = [
 google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<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"
 proto-plus = [
-    {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
     {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+    {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
 ]
 protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 
@@ -623,6 +762,7 @@ version = "2.24.2"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "google_api_core-2.24.2-py3-none-any.whl", hash = "sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9"},
     {file = "google_api_core-2.24.2.tar.gz", hash = "sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696"},
@@ -634,15 +774,15 @@ googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
 grpcio-status = {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
 proto-plus = [
-    {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
     {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+    {version = ">=1.22.3,<2.0.0"},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 requests = ">=2.18.0,<3.0.0"
 
 [package.extras]
 async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
+grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0) ; python_version >= \"3.11\""]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
@@ -652,6 +792,7 @@ version = "2.39.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "google_auth-2.39.0-py2.py3-none-any.whl", hash = "sha256:0150b6711e97fb9f52fe599f55648950cc4540015565d8fbb31be2ad6e1548a2"},
     {file = "google_auth-2.39.0.tar.gz", hash = "sha256:73222d43cdc35a3aeacbfdcaf73142a97839f10de930550d89ebfe1d0a00cde7"},
@@ -665,11 +806,11 @@ rsa = ">=3.1.4,<5"
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
-pyjwt = ["cryptography (<39.0.0)", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
-pyopenssl = ["cryptography (<39.0.0)", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0)"]
-testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0)", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
 urllib3 = ["packaging", "urllib3"]
 
 [[package]]
@@ -678,6 +819,7 @@ version = "1.70.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "googleapis_common_protos-1.70.0-py3-none-any.whl", hash = "sha256:b8bfcca8c25a2bb253e0e0b0adaf8c00773e5e6af6fd92397576680b807e0fd8"},
     {file = "googleapis_common_protos-1.70.0.tar.gz", hash = "sha256:0e1b44e0ea153e6594f9f394fef15193a68aaaea2d843f83e2742717ca753257"},
@@ -695,6 +837,8 @@ version = "3.2.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+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 <= \"3.13\""
 files = [
     {file = "greenlet-3.2.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:777c1281aa7c786738683e302db0f55eb4b0077c20f1dc53db8852ffaea0a6b0"},
     {file = "greenlet-3.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3059c6f286b53ea4711745146ffe5a5c5ff801f62f6c56949446e0f6461f8157"},
@@ -763,6 +907,7 @@ version = "0.23.1"
 description = "The official Python library for the groq API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "groq-0.23.1-py3-none-any.whl", hash = "sha256:05fa38c3d0ad03c19c6185f98f6a73901c2a463e844fd067b79f7b05c8346946"},
     {file = "groq-0.23.1.tar.gz", hash = "sha256:952e34895f9bfb78ab479e495d77b32180262e5c42f531ce3a1722d6e5a04dfb"},
@@ -782,6 +927,7 @@ version = "1.71.0"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "grpcio-1.71.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:c200cb6f2393468142eb50ab19613229dcc7829b5ccee8b658a36005f6669fdd"},
     {file = "grpcio-1.71.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:b2266862c5ad664a380fbbcdbdb8289d71464c42a8c29053820ee78ba0119e5d"},
@@ -845,6 +991,7 @@ version = "1.62.3"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "grpcio-status-1.62.3.tar.gz", hash = "sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485"},
     {file = "grpcio_status-1.62.3-py3-none-any.whl", hash = "sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8"},
@@ -861,6 +1008,7 @@ version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -872,6 +1020,7 @@ version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
     {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
@@ -893,6 +1042,7 @@ version = "0.6.4"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "httptools-0.6.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0"},
     {file = "httptools-0.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da"},
@@ -948,6 +1098,7 @@ version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
     {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
@@ -961,7 +1112,7 @@ idna = "*"
 sniffio = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -973,6 +1124,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -987,6 +1139,7 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
@@ -998,6 +1151,7 @@ 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"},
@@ -1012,6 +1166,7 @@ version = "0.9.0"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "jiter-0.9.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:816ec9b60fdfd1fec87da1d7ed46c66c44ffec37ab2ef7de5b147b2fce3fd5ad"},
     {file = "jiter-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9b1d3086f8a3ee0194ecf2008cf81286a5c3e540d977fa038ff23576c023c0ea"},
@@ -1097,6 +1252,7 @@ version = "1.33"
 description = "Apply JSON-Patches (RFC 6902)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+groups = ["main"]
 files = [
     {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
     {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -1111,6 +1267,7 @@ version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1122,6 +1279,7 @@ version = "1.4.8"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
 files = [
     {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88c6f252f6816a73b1f8c904f7bbe02fd67c09a69f7cb8a0eecdbf5ce78e63db"},
     {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72941acb7b67138f35b879bbe85be0f6c6a70cab78fe3ef6db9c024d9223e5b"},
@@ -1211,6 +1369,7 @@ version = "0.3.27"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
     {file = "langchain-0.3.27-py3-none-any.whl", hash = "sha256:7b20c4f338826acb148d885b20a73a16e410ede9ee4f19bb02011852d5f98798"},
     {file = "langchain-0.3.27.tar.gz", hash = "sha256:aa6f1e6274ff055d0fd36254176770f356ed0a8994297d1df47df341953cec62"},
@@ -1250,6 +1409,7 @@ version = "0.3.5"
 description = "An integration package connecting AnthropicMessages and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
     {file = "langchain_anthropic-0.3.5-py3-none-any.whl", hash = "sha256:bad34b02d7b4bdca9a9471bc391b01269fd8dc4600b83ca2a3e76925b7c27fe6"},
     {file = "langchain_anthropic-0.3.5.tar.gz", hash = "sha256:2aa1673511056061680492871f386d68a8b62947e0eb1f15303ef10db16c8357"},
@@ -1267,6 +1427,7 @@ version = "0.3.72"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "langchain_core-0.3.72-py3-none-any.whl", hash = "sha256:9fa15d390600eb6b6544397a7aa84be9564939b6adf7a2b091179ea30405b240"},
     {file = "langchain_core-0.3.72.tar.gz", hash = "sha256:4de3828909b3d7910c313242ab07b241294650f5cb6eac17738dd3638b1cd7de"},
@@ -1287,6 +1448,7 @@ version = "0.1.3"
 description = "An integration package connecting DeepSeek and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
     {file = "langchain_deepseek-0.1.3-py3-none-any.whl", hash = "sha256:8588e826371b417fca65c02f4273b4061eb9815a7bfcd5eb05acaa40d603aa89"},
     {file = "langchain_deepseek-0.1.3.tar.gz", hash = "sha256:89dd6aa120fb50dcfcd3d593626d34c1c40deefe4510710d0807fcc19481adf5"},
@@ -1296,12 +1458,30 @@ files = [
 langchain-core = ">=0.3.47,<1.0.0"
 langchain-openai = ">=0.3.9,<1.0.0"
 
+[[package]]
+name = "langchain-gigachat"
+version = "0.3.12"
+description = "An integration package connecting GigaChat and LangChain"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "langchain_gigachat-0.3.12-py3-none-any.whl", hash = "sha256:e7ee809a7e9c2dc8d5339f50c8478cad2bb24829db923b641142b5c1d4d991fe"},
+    {file = "langchain_gigachat-0.3.12.tar.gz", hash = "sha256:35312a041f56c344e234777bed0c3d5b6e90542d832afbfb225f2728a51a5af5"},
+]
+
+[package.dependencies]
+gigachat = ">=0.1.41.post1,<0.2.0"
+langchain-core = ">=0.3,<0.4"
+types-requests = ">=2.32,<3.0"
+
 [[package]]
 name = "langchain-google-genai"
 version = "2.1.3"
 description = "An integration package connecting Google's genai package and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
     {file = "langchain_google_genai-2.1.3-py3-none-any.whl", hash = "sha256:adf222931ac7af543f4013751a9b7dbd9ed637fb4eb3e4e0cd7e1d5d7e066d36"},
     {file = "langchain_google_genai-2.1.3.tar.gz", hash = "sha256:0d4e2abf01a7594a9420d3569cf2cd4239a01cc24c6698d3c2c92a072b9b7b4a"},
@@ -1319,6 +1499,7 @@ version = "0.2.3"
 description = "An integration package connecting Groq and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
     {file = "langchain_groq-0.2.3-py3-none-any.whl", hash = "sha256:3572c812acc1478ab0670c48eb9a135c95f47631190da750e48408267462a12d"},
     {file = "langchain_groq-0.2.3.tar.gz", hash = "sha256:f94810fe734c9402b36273ddc3509eaa67f12a7d06b666c6ca472ab0bfdf37b7"},
@@ -1334,6 +1515,7 @@ version = "0.3.6"
 description = "An integration package connecting Ollama and LangChain"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "langchain_ollama-0.3.6-py3-none-any.whl", hash = "sha256:b339bd3fcf913b8d606ad426ef39e7122695532507fcd85aa96271b3f33dc3df"},
     {file = "langchain_ollama-0.3.6.tar.gz", hash = "sha256:4270c4b30b3f3d10850cb9a1183b8c77d616195e0d9717ac745ef7f7f6cc2b6e"},
@@ -1349,6 +1531,7 @@ version = "0.3.14"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
     {file = "langchain_openai-0.3.14-py3-none-any.whl", hash = "sha256:b8e648d2d7678a5540818199d141ff727c6f1514294b3e1e999a95357c9d66a0"},
     {file = "langchain_openai-0.3.14.tar.gz", hash = "sha256:0662db78620c2e5c3ccfc1c36dc959c0ddc80e6bdf7ef81632cbf4b2cc9b9461"},
@@ -1365,6 +1548,7 @@ version = "0.3.9"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "langchain_text_splitters-0.3.9-py3-none-any.whl", hash = "sha256:cee0bb816211584ea79cc79927317c358543f40404bcfdd69e69ba3ccde54401"},
     {file = "langchain_text_splitters-0.3.9.tar.gz", hash = "sha256:7cd1e5a3aaf609979583eeca2eb34177622570b8fa8f586a605c6b1c34e7ebdb"},
@@ -1379,6 +1563,7 @@ version = "0.2.56"
 description = "Building stateful, multi-actor applications with LLMs"
 optional = false
 python-versions = "<4.0,>=3.9.0"
+groups = ["main"]
 files = [
     {file = "langgraph-0.2.56-py3-none-any.whl", hash = "sha256:ad8a4b772e34dc0137e890bb6ced596a39a1e684af66250c1e7c8150dbe90e9c"},
     {file = "langgraph-0.2.56.tar.gz", hash = "sha256:af10b1ffd10d52fd4072a73f154b8c2513c0b22e5bd5d20f4567dfeecab98d1e"},
@@ -1395,6 +1580,7 @@ version = "2.0.25"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 optional = false
 python-versions = "<4.0.0,>=3.9.0"
+groups = ["main"]
 files = [
     {file = "langgraph_checkpoint-2.0.25-py3-none-any.whl", hash = "sha256:23416a0f5bc9dd712ac10918fc13e8c9c4530c419d2985a441df71a38fc81602"},
     {file = "langgraph_checkpoint-2.0.25.tar.gz", hash = "sha256:77a63cab7b5f84dec1d49db561326ec28bdd48bcefb7fe4ac372069d2609287b"},
@@ -1410,6 +1596,7 @@ version = "0.1.63"
 description = "SDK for interacting with LangGraph API"
 optional = false
 python-versions = "<4.0.0,>=3.9.0"
+groups = ["main"]
 files = [
     {file = "langgraph_sdk-0.1.63-py3-none-any.whl", hash = "sha256:6fb78a7fc6a30eea43bd0d6401dbc9e3263d0d4c03f63c04035980da7e586b05"},
     {file = "langgraph_sdk-0.1.63.tar.gz", hash = "sha256:62bf2cc31e5aa6c5b9011ee1702bcf1e36e67e142a60bd97af2611162fb58e18"},
@@ -1425,6 +1612,7 @@ version = "0.4.13"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "langsmith-0.4.13-py3-none-any.whl", hash = "sha256:dab7b16ee16986995007bf5a777f45c18f8bf7453f67ae2ebcb46ce43c214297"},
     {file = "langsmith-0.4.13.tar.gz", hash = "sha256:1ae7dbb5d8150647406f49885a2dd16ab12bd990254b5dc23718838b3d086fde"},
@@ -1452,6 +1640,7 @@ version = "1.3.10"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "mako-1.3.10-py3-none-any.whl", hash = "sha256:baef24a52fc4fc514a0887ac600f9f1cff3d82c61d4d700a1fa84d597b88db59"},
     {file = "mako-1.3.10.tar.gz", hash = "sha256:99579a6f39583fa7e5630a28c3c1f440e4e97a414b80372649c0ce338da2ea28"},
@@ -1471,6 +1660,7 @@ version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
     {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
@@ -1495,6 +1685,7 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 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"},
@@ -1565,6 +1756,7 @@ version = "3.10.1"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
 files = [
     {file = "matplotlib-3.10.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ff2ae14910be903f4a24afdbb6d7d3a6c44da210fc7d42790b87aeac92238a16"},
     {file = "matplotlib-3.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0721a3fd3d5756ed593220a8b86808a36c5031fce489adb5b31ee6dbb47dd5b2"},
@@ -1622,6 +1814,7 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -1633,17 +1826,30 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "multitasking"
+version = "0.0.12"
+description = "Non-blocking Python methods using decorators"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "multitasking-0.0.12.tar.gz", hash = "sha256:2fba2fa8ed8c4b85e227c5dd7dc41c7d658de3b6f247927316175a57349b84d1"},
+]
+
 [[package]]
 name = "mypy-extensions"
 version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 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"},
@@ -1655,6 +1861,7 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 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"},
@@ -1700,6 +1907,7 @@ version = "0.5.2"
 description = "The official Python client for Ollama."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "ollama-0.5.2-py3-none-any.whl", hash = "sha256:48ee9aed1c8f4cf2e4237b6d4cc36c328f1abc40da4aa6edf52698f757bc4164"},
     {file = "ollama-0.5.2.tar.gz", hash = "sha256:7a575a90416a816231f216dbd10c3480b107218a90388c061fdf20d7ab7fe990"},
@@ -1715,6 +1923,7 @@ version = "1.76.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "openai-1.76.2-py3-none-any.whl", hash = "sha256:9c1d9ad59e6e3bea7205eedc9ca66eeebae18d47b527e505a2b0d2fb1538e26e"},
     {file = "openai-1.76.2.tar.gz", hash = "sha256:f430c8b848775907405c6eff54621254c96f6444c593c097e0cc3a9f8fdda96f"},
@@ -1741,6 +1950,7 @@ version = "3.10.17"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "orjson-3.10.17-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:bc399cf138a0201d0bf2399b44195d33a0a5aee149dab114340da0d766c88b95"},
     {file = "orjson-3.10.17-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:59225b27b72e0e1626d869f7b987da6c74f9b6026cf9a87c1cdaf74ca9f7b8c0"},
@@ -1822,6 +2032,7 @@ version = "1.9.1"
 description = "Fast, correct Python msgpack library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "ormsgpack-1.9.1-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:f1f804fd9c0fd84213a6022c34172f82323b34afa7052a4af18797582cf56365"},
     {file = "ormsgpack-1.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eab5cec99c46276b37071d570aab98603f3d0309b3818da3247eb64bb95e5cfc"},
@@ -1872,6 +2083,7 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -1883,6 +2095,7 @@ version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
     {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
@@ -1930,8 +2143,8 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -1968,17 +2181,30 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 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 = "peewee"
+version = "3.18.2"
+description = "a little orm"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "peewee-3.18.2.tar.gz", hash = "sha256:77a54263eb61aff2ea72f63d2eeb91b140c25c1884148e28e4c0f7c4f64996a0"},
+]
+
 [[package]]
 name = "pillow"
 version = "11.2.1"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "pillow-11.2.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:d57a75d53922fc20c165016a20d9c44f73305e67c351bbc60d1adaf662e74047"},
     {file = "pillow-11.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:127bf6ac4a5b58b3d32fc8289656f77f80567d65660bc46f72c0d77e6600cc95"},
@@ -2069,7 +2295,7 @@ fpx = ["olefile"]
 mic = ["olefile"]
 test-arrow = ["pyarrow"]
 tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
-typing = ["typing-extensions"]
+typing = ["typing-extensions ; python_version < \"3.10\""]
 xmp = ["defusedxml"]
 
 [[package]]
@@ -2078,6 +2304,7 @@ version = "4.3.7"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
     {file = "platformdirs-4.3.7-py3-none-any.whl", hash = "sha256:a03875334331946f13c549dbd8f4bac7a13a50a895a0eb1e8c6a8ace80d40a94"},
     {file = "platformdirs-4.3.7.tar.gz", hash = "sha256:eb437d586b6a0986388f0d6f74aa0cde27b48d0e3d66843640bfb6bdcdb6e351"},
@@ -2094,6 +2321,7 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2109,6 +2337,7 @@ version = "3.0.51"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "prompt_toolkit-3.0.51-py3-none-any.whl", hash = "sha256:52742911fde84e2d423e2f9a4cf1de7d7ac4e51958f648d9540e0fb8db077b07"},
     {file = "prompt_toolkit-3.0.51.tar.gz", hash = "sha256:931a162e3b27fc90c86f1b48bb1fb2c528c2761475e57c9c06de13311c7b54ed"},
@@ -2123,6 +2352,7 @@ version = "1.26.1"
 description = "Beautiful, Pythonic protocol buffers"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "proto_plus-1.26.1-py3-none-any.whl", hash = "sha256:13285478c2dcf2abb829db158e1047e2f1e8d63a077d94263c2b88b043c75a66"},
     {file = "proto_plus-1.26.1.tar.gz", hash = "sha256:21a515a4c4c0088a773899e23c7bbade3d18f9c66c73edd4c7ee3816bc96a012"},
@@ -2140,6 +2370,7 @@ version = "6.30.2"
 description = ""
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "protobuf-6.30.2-cp310-abi3-win32.whl", hash = "sha256:b12ef7df7b9329886e66404bef5e9ce6a26b54069d7f7436a0853ccdeb91c103"},
     {file = "protobuf-6.30.2-cp310-abi3-win_amd64.whl", hash = "sha256:7653c99774f73fe6b9301b87da52af0e69783a2e371e8b599b3e9cb4da4b12b9"},
@@ -2158,6 +2389,7 @@ version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
     {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
@@ -2169,6 +2401,7 @@ version = "0.4.2"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 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"},
@@ -2183,6 +2416,7 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -2194,6 +2428,7 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2205,6 +2440,7 @@ version = "2.11.4"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "pydantic-2.11.4-py3-none-any.whl", hash = "sha256:d9615eaa9ac5a063471da949c8fc16376a84afb5024688b3ff885693506764eb"},
     {file = "pydantic-2.11.4.tar.gz", hash = "sha256:32738d19d63a226a52eed76645a98ee07c1f410ee41d93b4afbfa85ed8111c2d"},
@@ -2218,7 +2454,7 @@ typing-inspection = ">=0.4.0"
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
 
 [[package]]
 name = "pydantic-core"
@@ -2226,6 +2462,7 @@ version = "2.33.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "pydantic_core-2.33.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8"},
     {file = "pydantic_core-2.33.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d"},
@@ -2337,6 +2574,7 @@ version = "3.1.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pyflakes-3.1.0-py2.py3-none-any.whl", hash = "sha256:4132f6d49cb4dae6819e5379898f2b8cce3c5f23994194c24b77d5da2e36f774"},
     {file = "pyflakes-3.1.0.tar.gz", hash = "sha256:a0aae034c444db0071aa077972ba4768d40c830d9539fd45bf4cd3f8f6992efc"},
@@ -2348,6 +2586,7 @@ version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
     {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
@@ -2362,6 +2601,7 @@ version = "3.2.3"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "pyparsing-3.2.3-py3-none-any.whl", hash = "sha256:a749938e02d6fd0b59b356ca504a24982314bb090c383e3cf201c95ef7e2bfcf"},
     {file = "pyparsing-3.2.3.tar.gz", hash = "sha256:b9c13f1ab8b3b542f72e28f634bad4de758ab3ce4546e4301970ad6fa77c38be"},
@@ -2376,6 +2616,7 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -2396,6 +2637,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 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"},
@@ -2410,6 +2652,7 @@ version = "1.0.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
     {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
@@ -2424,6 +2667,7 @@ version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -2435,6 +2679,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 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"},
@@ -2497,6 +2742,7 @@ version = "2.1.0"
 description = "Python library to build pretty command line user prompts ⭐️"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "questionary-2.1.0-py3-none-any.whl", hash = "sha256:44174d237b68bc828e4878c763a9ad6790ee61990e0ae72927694ead57bab8ec"},
     {file = "questionary-2.1.0.tar.gz", hash = "sha256:6302cdd645b19667d8f6e6634774e9538bfcd1aad9be287e743d96cacaf95587"},
@@ -2511,6 +2757,7 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 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"},
@@ -2614,6 +2861,7 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -2635,6 +2883,7 @@ version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
 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"},
@@ -2649,6 +2898,7 @@ version = "13.9.4"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"},
     {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
@@ -2667,6 +2917,7 @@ version = "0.14.4"
 description = "Rich toolkit for building command-line applications"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "rich_toolkit-0.14.4-py3-none-any.whl", hash = "sha256:cc71ebee83eaa122d8e42882408bc5a4bf0240bbf1e368811ee56d249b3d742a"},
     {file = "rich_toolkit-0.14.4.tar.gz", hash = "sha256:db256cf45165cae381c9bbf3b48a0fd4d99a07c80155cc655c80212a62e28fe1"},
@@ -2683,6 +2934,7 @@ version = "4.9.1"
 description = "Pure-Python RSA implementation"
 optional = false
 python-versions = "<4,>=3.6"
+groups = ["main"]
 files = [
     {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"},
     {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"},
@@ -2697,6 +2949,7 @@ version = "1.5.4"
 description = "Tool to Detect Surrounding Shell"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -2708,6 +2961,7 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -2719,17 +2973,31 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
+[[package]]
+name = "soupsieve"
+version = "2.7"
+description = "A modern CSS selector implementation for Beautiful Soup."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "soupsieve-2.7-py3-none-any.whl", hash = "sha256:6e60cc5c1ffaf1cebcc12e8188320b72071e922c2e897f737cadce79ad5d30c4"},
+    {file = "soupsieve-2.7.tar.gz", hash = "sha256:ad282f9b6926286d2ead4750552c8a6142bc4c783fd66b0293547c8fe6ae126a"},
+]
+
 [[package]]
 name = "sqlalchemy"
 version = "2.0.40"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "SQLAlchemy-2.0.40-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ae9597cab738e7cc823f04a704fb754a9249f0b6695a6aeb63b74055cd417a96"},
     {file = "SQLAlchemy-2.0.40-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37a5c21ab099a83d669ebb251fddf8f5cee4d75ea40a5a1653d9c43d60e20867"},
@@ -2825,6 +3093,7 @@ version = "0.27.0"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"},
     {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"},
@@ -2842,6 +3111,7 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -2856,6 +3126,7 @@ version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
     {file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
@@ -2871,6 +3142,7 @@ version = "0.9.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "tiktoken-0.9.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:586c16358138b96ea804c034b8acf3f5d3f0258bd2bc3b0227af4af5d622e382"},
     {file = "tiktoken-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d9c59ccc528c6c5dd51820b3474402f69d9a9e1d656226848ad68a8d5b2e5108"},
@@ -2918,6 +3190,7 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -2939,6 +3212,7 @@ version = "0.15.3"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "typer-0.15.3-py3-none-any.whl", hash = "sha256:c86a65ad77ca531f03de08d1b9cb67cd09ad02ddddf4b34745b5008f43b239bd"},
     {file = "typer-0.15.3.tar.gz", hash = "sha256:818873625d0569653438316567861899f7e9972f2e6e0c16dab608345ced713c"},
@@ -2950,12 +3224,28 @@ rich = ">=10.11.0"
 shellingham = ">=1.3.0"
 typing-extensions = ">=3.7.4.3"
 
+[[package]]
+name = "types-requests"
+version = "2.32.4.20250809"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "types_requests-2.32.4.20250809-py3-none-any.whl", hash = "sha256:f73d1832fb519ece02c85b1f09d5f0dd3108938e7d47e7f94bbfa18a6782b163"},
+    {file = "types_requests-2.32.4.20250809.tar.gz", hash = "sha256:d8060de1c8ee599311f56ff58010fb4902f462a1470802cf9f6ed27bc46c4df3"},
+]
+
+[package.dependencies]
+urllib3 = ">=2"
+
 [[package]]
 name = "typing-extensions"
 version = "4.13.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"},
     {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"},
@@ -2967,6 +3257,7 @@ version = "0.4.0"
 description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"},
     {file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"},
@@ -2981,6 +3272,7 @@ version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["main"]
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -2992,13 +3284,14 @@ version = "2.4.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"},
     {file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -3009,6 +3302,7 @@ version = "0.34.2"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "uvicorn-0.34.2-py3-none-any.whl", hash = "sha256:deb49af569084536d269fe0a6d67e3754f104cf03aba7c11c40f01aadf33c403"},
     {file = "uvicorn-0.34.2.tar.gz", hash = "sha256:0e929828f6186353a80b58ea719861d2629d766293b6d19baf086ba31d4f3328"},
@@ -3021,12 +3315,12 @@ h11 = ">=0.8"
 httptools = {version = ">=0.6.3", optional = true, markers = "extra == \"standard\""}
 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
-uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
 watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "uvloop"
@@ -3034,6 +3328,8 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -3085,6 +3381,7 @@ version = "1.0.5"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "watchfiles-1.0.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:5c40fe7dd9e5f81e0847b1ea64e1f5dd79dd61afbedb57759df06767ac719b40"},
     {file = "watchfiles-1.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8c0db396e6003d99bb2d7232c957b5f0b5634bbd1b24e381a5afcc880f7373fb"},
@@ -3168,6 +3465,7 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -3179,6 +3477,7 @@ version = "15.0.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d63efaa0cd96cf0c5fe4d581521d9fa87744540d4bc999ae6e08595a1014b45b"},
     {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac60e3b188ec7574cb761b08d50fcedf9d77f1530352db4eef1707fe9dee7205"},
@@ -3251,12 +3550,43 @@ files = [
     {file = "websockets-15.0.1.tar.gz", hash = "sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee"},
 ]
 
+[[package]]
+name = "yfinance"
+version = "0.2.65"
+description = "Download market data from Yahoo! Finance API"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "yfinance-0.2.65-py2.py3-none-any.whl", hash = "sha256:7be13abb0d80a17230bf798e9c6a324fa2bef0846684a6d4f7fa2abd21938963"},
+    {file = "yfinance-0.2.65.tar.gz", hash = "sha256:3d465e58c49be9d61f9862829de3e00bef6b623809f32f4efb5197b62fc60485"},
+]
+
+[package.dependencies]
+beautifulsoup4 = ">=4.11.1"
+curl_cffi = ">=0.7"
+frozendict = ">=2.3.4"
+multitasking = ">=0.0.7"
+numpy = ">=1.16.5"
+pandas = ">=1.3.0"
+peewee = ">=3.16.2"
+platformdirs = ">=2.0.0"
+protobuf = ">=3.19.0"
+pytz = ">=2022.5"
+requests = ">=2.31"
+websockets = ">=13.0"
+
+[package.extras]
+nospam = ["requests_cache (>=1.0)", "requests_ratelimiter (>=0.3.1)"]
+repair = ["scipy (>=1.6.3)"]
+
 [[package]]
 name = "zstandard"
 version = "0.23.0"
 description = "Zstandard bindings for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "zstandard-0.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9"},
     {file = "zstandard-0.23.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880"},
@@ -3364,6 +3694,6 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
 cffi = ["cffi (>=1.11)"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = "^3.11"
-content-hash = "295166944ae8362bff38e4b409259aa7c0afa5ade47573dbeadba90071b81134"
+content-hash = "3077ba9c1ae9cc37aef74c4d613bd5919a58f7710cdc916775f4f38e4f46f792"
diff --git a/pyproject.toml b/pyproject.toml
index c6a29c17a..a79e736bf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,6 +35,7 @@ httpx = "^0.27.0"
 sqlalchemy = "^2.0.22"
 alembic = "^1.12.0"
 langchain-gigachat = "^0.3.12"
+yfinance = "^0.2.65"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.0"
diff --git a/src/agents/aswath_damodaran.py b/src/agents/aswath_damodaran.py
index a1efbd268..1e5758926 100644
--- a/src/agents/aswath_damodaran.py
+++ b/src/agents/aswath_damodaran.py
@@ -13,6 +13,7 @@
     get_market_cap,
     search_line_items,
 )
+from src.data.providers import get_data_provider_for_agent
 from src.utils.api_key import get_api_key_from_state
 from src.utils.llm import call_llm
 from src.utils.progress import progress
@@ -37,6 +38,8 @@ def aswath_damodaran_agent(state: AgentState, agent_id: str = "aswath_damodaran_
     end_date  = data["end_date"]
     tickers   = data["tickers"]
     api_key  = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
 
     analysis_data: dict[str, dict] = {}
     damodaran_signals: dict[str, dict] = {}
@@ -44,7 +47,7 @@ def aswath_damodaran_agent(state: AgentState, agent_id: str = "aswath_damodaran_
     for ticker in tickers:
         # ─── Fetch core data ────────────────────────────────────────────────────
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
-        metrics = get_financial_metrics(ticker, end_date, period="ttm", limit=5, api_key=api_key)
+        metrics = get_financial_metrics(ticker, end_date, period="ttm", limit=5, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching financial line items")
         line_items = search_line_items(
@@ -61,10 +64,11 @@ def aswath_damodaran_agent(state: AgentState, agent_id: str = "aswath_damodaran_
             ],
             end_date,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         # ─── Analyses ───────────────────────────────────────────────────────────
         progress.update_status(agent_id, ticker, "Analyzing growth and reinvestment")
diff --git a/src/agents/ben_graham.py b/src/agents/ben_graham.py
index 807175abb..1eeb06bc4 100644
--- a/src/agents/ben_graham.py
+++ b/src/agents/ben_graham.py
@@ -1,5 +1,6 @@
 from src.graph.state import AgentState, show_agent_reasoning
 from src.tools.api import get_financial_metrics, get_market_cap, search_line_items
+from src.data.providers import get_data_provider_for_agent
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.messages import HumanMessage
 from pydantic import BaseModel
@@ -29,19 +30,21 @@ def ben_graham_agent(state: AgentState, agent_id: str = "ben_graham_agent"):
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     
     analysis_data = {}
     graham_analysis = {}
 
     for ticker in tickers:
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
-        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=10, api_key=api_key)
+        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=10, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Gathering financial line items")
-        financial_line_items = search_line_items(ticker, ["earnings_per_share", "revenue", "net_income", "book_value_per_share", "total_assets", "total_liabilities", "current_assets", "current_liabilities", "dividends_and_other_cash_distributions", "outstanding_shares"], end_date, period="annual", limit=10, api_key=api_key)
+        financial_line_items = search_line_items(ticker, ["earnings_per_share", "revenue", "net_income", "book_value_per_share", "total_assets", "total_liabilities", "current_assets", "current_liabilities", "dividends_and_other_cash_distributions", "outstanding_shares"], end_date, period="annual", limit=10, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         # Perform sub-analyses
         progress.update_status(agent_id, ticker, "Analyzing earnings stability")
@@ -109,7 +112,7 @@ def analyze_earnings_stability(metrics: list, financial_line_items: list) -> dic
 
     eps_vals = []
     for item in financial_line_items:
-        if item.earnings_per_share is not None:
+        if hasattr(item, "earnings_per_share") and item.earnings_per_share is not None:
             eps_vals.append(item.earnings_per_share)
 
     if len(eps_vals) < 2:
@@ -149,11 +152,10 @@ def analyze_financial_strength(financial_line_items: list) -> dict:
     if not financial_line_items:
         return {"score": score, "details": "No data for financial strength analysis"}
 
-    latest_item = financial_line_items[0]
-    total_assets = latest_item.total_assets or 0
-    total_liabilities = latest_item.total_liabilities or 0
-    current_assets = latest_item.current_assets or 0
-    current_liabilities = latest_item.current_liabilities or 0
+    total_assets = get_line_item_value(financial_line_items, "total_assets")
+    total_liabilities = get_line_item_value(financial_line_items, "total_liabilities")
+    current_assets = get_line_item_value(financial_line_items, "current_assets")
+    current_liabilities = get_line_item_value(financial_line_items, "current_liabilities")
 
     # 1. Current ratio
     if current_liabilities > 0:
@@ -184,7 +186,7 @@ def analyze_financial_strength(financial_line_items: list) -> dict:
         details.append("Cannot compute debt ratio (missing total_assets).")
 
     # 3. Dividend track record
-    div_periods = [item.dividends_and_other_cash_distributions for item in financial_line_items if item.dividends_and_other_cash_distributions is not None]
+    div_periods = [item.dividends_and_other_cash_distributions for item in financial_line_items if hasattr(item, "dividends_and_other_cash_distributions") and item.dividends_and_other_cash_distributions is not None]
     if div_periods:
         # In many data feeds, dividend outflow is shown as a negative number
         # (money going out to shareholders). We'll consider any negative as 'paid a dividend'.
@@ -204,6 +206,15 @@ def analyze_financial_strength(financial_line_items: list) -> dict:
     return {"score": score, "details": "; ".join(details)}
 
 
+def get_line_item_value(financial_line_items: list, line_item_name: str) -> float:
+    """Helper function to extract value for a specific line item."""
+    for item in financial_line_items:
+        if hasattr(item, line_item_name):
+            value = getattr(item, line_item_name)
+            if value is not None:
+                return value
+    return 0
+
 def analyze_valuation_graham(financial_line_items: list, market_cap: float) -> dict:
     """
     Core Graham approach to valuation:
@@ -214,12 +225,11 @@ def analyze_valuation_graham(financial_line_items: list, market_cap: float) -> d
     if not financial_line_items or not market_cap or market_cap <= 0:
         return {"score": 0, "details": "Insufficient data to perform valuation"}
 
-    latest = financial_line_items[0]
-    current_assets = latest.current_assets or 0
-    total_liabilities = latest.total_liabilities or 0
-    book_value_ps = latest.book_value_per_share or 0
-    eps = latest.earnings_per_share or 0
-    shares_outstanding = latest.outstanding_shares or 0
+    current_assets = get_line_item_value(financial_line_items, "current_assets")
+    total_liabilities = get_line_item_value(financial_line_items, "total_liabilities")
+    book_value_ps = get_line_item_value(financial_line_items, "book_value_per_share")
+    eps = get_line_item_value(financial_line_items, "earnings_per_share")
+    shares_outstanding = get_line_item_value(financial_line_items, "outstanding_shares")
 
     details = []
     score = 0
diff --git a/src/agents/bill_ackman.py b/src/agents/bill_ackman.py
index cc7aa27a7..d260d0e06 100644
--- a/src/agents/bill_ackman.py
+++ b/src/agents/bill_ackman.py
@@ -1,5 +1,6 @@
 from src.graph.state import AgentState, show_agent_reasoning
 from src.tools.api import get_financial_metrics, get_market_cap, search_line_items
+from src.data.providers import get_data_provider_for_agent
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.messages import HumanMessage
 from pydantic import BaseModel
@@ -26,12 +27,14 @@ def bill_ackman_agent(state: AgentState, agent_id: str = "bill_ackman_agent"):
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     analysis_data = {}
     ackman_analysis = {}
     
     for ticker in tickers:
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
-        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=5, api_key=api_key)
+        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=5, api_key=api_key, data_provider=data_provider)
         
         progress.update_status(agent_id, ticker, "Gathering financial line items")
         # Request multiple periods of data (annual or TTM) for a more robust long-term view.
@@ -53,10 +56,11 @@ def bill_ackman_agent(state: AgentState, agent_id: str = "bill_ackman_agent"):
             period="annual",
             limit=5,
             api_key=api_key,
+            data_provider=data_provider,
         )
         
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
         
         progress.update_status(agent_id, ticker, "Analyzing business quality")
         quality_analysis = analyze_business_quality(metrics, financial_line_items)
@@ -150,7 +154,7 @@ def analyze_business_quality(metrics: list, financial_line_items: list) -> dict:
         }
     
     # 1. Multi-period revenue growth analysis
-    revenues = [item.revenue for item in financial_line_items if item.revenue is not None]
+    revenues = [getattr(item, 'revenue', None) for item in financial_line_items if getattr(item, 'revenue', None) is not None]
     if len(revenues) >= 2:
         initial, final = revenues[-1], revenues[0]
         if initial and final and final > initial:
@@ -167,8 +171,8 @@ def analyze_business_quality(metrics: list, financial_line_items: list) -> dict:
         details.append("Not enough revenue data for multi-period trend.")
     
     # 2. Operating margin and free cash flow consistency
-    fcf_vals = [item.free_cash_flow for item in financial_line_items if item.free_cash_flow is not None]
-    op_margin_vals = [item.operating_margin for item in financial_line_items if item.operating_margin is not None]
+    fcf_vals = [getattr(item, 'free_cash_flow', None) for item in financial_line_items if getattr(item, 'free_cash_flow', None) is not None]
+    op_margin_vals = [getattr(item, 'operating_margin', None) for item in financial_line_items if getattr(item, 'operating_margin', None) is not None]
     
     if op_margin_vals:
         above_15 = sum(1 for m in op_margin_vals if m > 0.15)
@@ -228,7 +232,7 @@ def analyze_financial_discipline(metrics: list, financial_line_items: list) -> d
         }
     
     # 1. Multi-period debt ratio or debt_to_equity
-    debt_to_equity_vals = [item.debt_to_equity for item in financial_line_items if item.debt_to_equity is not None]
+    debt_to_equity_vals = [getattr(item, 'debt_to_equity', None) for item in financial_line_items if getattr(item, 'debt_to_equity', None) is not None]
     if debt_to_equity_vals:
         below_one_count = sum(1 for d in debt_to_equity_vals if d < 1.0)
         if below_one_count >= (len(debt_to_equity_vals) // 2 + 1):
@@ -255,9 +259,9 @@ def analyze_financial_discipline(metrics: list, financial_line_items: list) -> d
     
     # 2. Capital allocation approach (dividends + share counts)
     dividends_list = [
-        item.dividends_and_other_cash_distributions
+        getattr(item, 'dividends_and_other_cash_distributions', None)
         for item in financial_line_items
-        if item.dividends_and_other_cash_distributions is not None
+        if getattr(item, 'dividends_and_other_cash_distributions', None) is not None
     ]
     if dividends_list:
         paying_dividends_count = sum(1 for d in dividends_list if d < 0)
@@ -270,7 +274,7 @@ def analyze_financial_discipline(metrics: list, financial_line_items: list) -> d
         details.append("No dividend data found across periods.")
     
     # Check for decreasing share count (simple approach)
-    shares = [item.outstanding_shares for item in financial_line_items if item.outstanding_shares is not None]
+    shares = [getattr(item, 'outstanding_shares', None) for item in financial_line_items if getattr(item, 'outstanding_shares', None) is not None]
     if len(shares) >= 2:
         # For buybacks, the newest count should be less than the oldest count
         if shares[0] < shares[-1]:
@@ -303,8 +307,8 @@ def analyze_activism_potential(financial_line_items: list) -> dict:
         }
     
     # Check revenue growth vs. operating margin
-    revenues = [item.revenue for item in financial_line_items if item.revenue is not None]
-    op_margins = [item.operating_margin for item in financial_line_items if item.operating_margin is not None]
+    revenues = [getattr(item, 'revenue', None) for item in financial_line_items if getattr(item, 'revenue', None) is not None]
+    op_margins = [getattr(item, 'operating_margin', None) for item in financial_line_items if getattr(item, 'operating_margin', None) is not None]
     
     if len(revenues) < 2 or not op_margins:
         return {
diff --git a/src/agents/cathie_wood.py b/src/agents/cathie_wood.py
index 1e6913900..5f3be50d8 100644
--- a/src/agents/cathie_wood.py
+++ b/src/agents/cathie_wood.py
@@ -1,5 +1,6 @@
 from src.graph.state import AgentState, show_agent_reasoning
 from src.tools.api import get_financial_metrics, get_market_cap, search_line_items
+from src.data.providers import get_data_provider_for_agent
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.messages import HumanMessage
 from pydantic import BaseModel
@@ -28,12 +29,14 @@ def cathie_wood_agent(state: AgentState, agent_id: str = "cathie_wood_agent"):
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     analysis_data = {}
     cw_analysis = {}
 
     for ticker in tickers:
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
-        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=5, api_key=api_key)
+        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=5, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Gathering financial line items")
         # Request multiple periods of data (annual or TTM) for a more robust view.
@@ -57,10 +60,11 @@ def cathie_wood_agent(state: AgentState, agent_id: str = "cathie_wood_agent"):
             period="annual",
             limit=5,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Analyzing disruptive potential")
         disruptive_analysis = analyze_disruptive_potential(metrics, financial_line_items)
@@ -125,7 +129,7 @@ def analyze_disruptive_potential(metrics: list, financial_line_items: list) -> d
         return {"score": 0, "details": "Insufficient data to analyze disruptive potential"}
 
     # 1. Revenue Growth Analysis - Check for accelerating growth
-    revenues = [item.revenue for item in financial_line_items if item.revenue]
+    revenues = [getattr(item, 'revenue', None) for item in financial_line_items if getattr(item, 'revenue', None)]
     if len(revenues) >= 3:  # Need at least 3 periods to check acceleration
         growth_rates = []
         for i in range(len(revenues) - 1):
@@ -171,7 +175,7 @@ def analyze_disruptive_potential(metrics: list, financial_line_items: list) -> d
         details.append("Insufficient gross margin data")
 
     # 3. Operating Leverage Analysis
-    revenues = [item.revenue for item in financial_line_items if item.revenue]
+    revenues = [getattr(item, 'revenue', None) for item in financial_line_items if getattr(item, 'revenue', None)]
     operating_expenses = [item.operating_expense for item in financial_line_items if hasattr(item, "operating_expense") and item.operating_expense]
 
     if len(revenues) >= 2 and len(operating_expenses) >= 2:
@@ -185,7 +189,7 @@ def analyze_disruptive_potential(metrics: list, financial_line_items: list) -> d
         details.append("Insufficient data for operating leverage analysis")
 
     # 4. R&D Investment Analysis
-    rd_expenses = [item.research_and_development for item in financial_line_items if hasattr(item, "research_and_development") and item.research_and_development is not None]
+    rd_expenses = [getattr(item, 'research_and_development', None) for item in financial_line_items if getattr(item, 'research_and_development', None) is not None]
     if rd_expenses and revenues:
         rd_intensity = rd_expenses[0] / revenues[0]
         if rd_intensity > 0.15:  # High R&D intensity
@@ -224,8 +228,8 @@ def analyze_innovation_growth(metrics: list, financial_line_items: list) -> dict
         return {"score": 0, "details": "Insufficient data to analyze innovation-driven growth"}
 
     # 1. R&D Investment Trends
-    rd_expenses = [item.research_and_development for item in financial_line_items if hasattr(item, "research_and_development") and item.research_and_development]
-    revenues = [item.revenue for item in financial_line_items if item.revenue]
+    rd_expenses = [getattr(item, 'research_and_development', None) for item in financial_line_items if getattr(item, 'research_and_development', None)]
+    revenues = [getattr(item, 'revenue', None) for item in financial_line_items if getattr(item, 'revenue', None)]
 
     if rd_expenses and revenues and len(rd_expenses) >= 2:
         rd_growth = (rd_expenses[0] - rd_expenses[-1]) / abs(rd_expenses[-1]) if rd_expenses[-1] != 0 else 0
@@ -246,7 +250,7 @@ def analyze_innovation_growth(metrics: list, financial_line_items: list) -> dict
         details.append("Insufficient R&D data for trend analysis")
 
     # 2. Free Cash Flow Analysis
-    fcf_vals = [item.free_cash_flow for item in financial_line_items if item.free_cash_flow]
+    fcf_vals = [getattr(item, 'free_cash_flow', None) for item in financial_line_items if getattr(item, 'free_cash_flow', None)]
     if fcf_vals and len(fcf_vals) >= 2:
         fcf_growth = (fcf_vals[0] - fcf_vals[-1]) / abs(fcf_vals[-1])
         positive_fcf_count = sum(1 for f in fcf_vals if f > 0)
@@ -264,7 +268,7 @@ def analyze_innovation_growth(metrics: list, financial_line_items: list) -> dict
         details.append("Insufficient FCF data for analysis")
 
     # 3. Operating Efficiency Analysis
-    op_margin_vals = [item.operating_margin for item in financial_line_items if item.operating_margin]
+    op_margin_vals = [getattr(item, 'operating_margin', None) for item in financial_line_items if getattr(item, 'operating_margin', None)]
     if op_margin_vals and len(op_margin_vals) >= 2:
         margin_trend = op_margin_vals[0] - op_margin_vals[-1]
 
diff --git a/src/agents/charlie_munger.py b/src/agents/charlie_munger.py
index 444f9cb56..fcaf88d53 100644
--- a/src/agents/charlie_munger.py
+++ b/src/agents/charlie_munger.py
@@ -1,5 +1,6 @@
 from src.graph.state import AgentState, show_agent_reasoning
 from src.tools.api import get_financial_metrics, get_market_cap, search_line_items, get_insider_trades, get_company_news
+from src.data.providers import get_data_provider_for_agent
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.messages import HumanMessage
 from pydantic import BaseModel
@@ -24,12 +25,14 @@ def charlie_munger_agent(state: AgentState, agent_id: str = "charlie_munger_agen
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     analysis_data = {}
     munger_analysis = {}
     
     for ticker in tickers:
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
-        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=10, api_key=api_key)  # Munger looks at longer periods
+        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=10, api_key=api_key, data_provider=data_provider)  # Munger looks at longer periods
         
         progress.update_status(agent_id, ticker, "Gathering financial line items")
         financial_line_items = search_line_items(
@@ -54,10 +57,11 @@ def charlie_munger_agent(state: AgentState, agent_id: str = "charlie_munger_agen
             period="annual",
             limit=10,  # Munger examines long-term trends
             api_key=api_key,
+            data_provider=data_provider,
         )
         
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
         
         progress.update_status(agent_id, ticker, "Fetching insider trades")
         # Munger values management with skin in the game
@@ -68,6 +72,7 @@ def charlie_munger_agent(state: AgentState, agent_id: str = "charlie_munger_agen
             start_date=None,
             limit=100,
             api_key=api_key,
+            data_provider=data_provider,
         )
         
         progress.update_status(agent_id, ticker, "Fetching company news")
@@ -79,6 +84,7 @@ def charlie_munger_agent(state: AgentState, agent_id: str = "charlie_munger_agen
             start_date=None,
             limit=100,
             api_key=api_key,
+            data_provider=data_provider,
         )
         
         progress.update_status(agent_id, ticker, "Analyzing moat strength")
@@ -243,10 +249,10 @@ def analyze_moat_strength(metrics: list, financial_line_items: list) -> dict:
         details.append("Insufficient data for capital intensity analysis")
     
     # 4. Intangible assets - Munger values R&D and intellectual property
-    r_and_d = [item.research_and_development for item in financial_line_items
-              if hasattr(item, 'research_and_development') and item.research_and_development is not None]
+    r_and_d = [getattr(item, 'research_and_development', None) for item in financial_line_items
+              if getattr(item, 'research_and_development', None) is not None]
     
-    goodwill_and_intangible_assets = [item.goodwill_and_intangible_assets for item in financial_line_items
+    goodwill_and_intangible_assets = [getattr(item, 'goodwill_and_intangible_assets', None) for item in financial_line_items
                if hasattr(item, 'goodwill_and_intangible_assets') and item.goodwill_and_intangible_assets is not None]
 
     if r_and_d and len(r_and_d) > 0:
@@ -287,10 +293,10 @@ def analyze_management_quality(financial_line_items: list, insider_trades: list)
     
     # 1. Capital allocation - Check FCF to net income ratio
     # Munger values companies that convert earnings to cash
-    fcf_values = [item.free_cash_flow for item in financial_line_items 
+    fcf_values = [getattr(item, 'free_cash_flow', None) for item in financial_line_items 
                  if hasattr(item, 'free_cash_flow') and item.free_cash_flow is not None]
     
-    net_income_values = [item.net_income for item in financial_line_items 
+    net_income_values = [getattr(item, 'net_income', None) for item in financial_line_items 
                         if hasattr(item, 'net_income') and item.net_income is not None]
     
     if fcf_values and net_income_values and len(fcf_values) == len(net_income_values):
@@ -319,10 +325,10 @@ def analyze_management_quality(financial_line_items: list, insider_trades: list)
         details.append("Missing FCF or Net Income data")
     
     # 2. Debt management - Munger is cautious about debt
-    debt_values = [item.total_debt for item in financial_line_items 
+    debt_values = [getattr(item, 'total_debt', None) for item in financial_line_items 
                   if hasattr(item, 'total_debt') and item.total_debt is not None]
     
-    equity_values = [item.shareholders_equity for item in financial_line_items 
+    equity_values = [getattr(item, 'shareholders_equity', None) for item in financial_line_items 
                     if hasattr(item, 'shareholders_equity') and item.shareholders_equity is not None]
     
     if debt_values and equity_values and len(debt_values) == len(equity_values):
@@ -344,9 +350,9 @@ def analyze_management_quality(financial_line_items: list, insider_trades: list)
         details.append("Missing debt or equity data")
     
     # 3. Cash management efficiency - Munger values appropriate cash levels
-    cash_values = [item.cash_and_equivalents for item in financial_line_items
+    cash_values = [getattr(item, 'cash_and_equivalents', None) for item in financial_line_items
                   if hasattr(item, 'cash_and_equivalents') and item.cash_and_equivalents is not None]
-    revenue_values = [item.revenue for item in financial_line_items
+    revenue_values = [getattr(item, 'revenue', None) for item in financial_line_items
                      if hasattr(item, 'revenue') and item.revenue is not None]
     
     if cash_values and revenue_values and len(cash_values) > 0 and len(revenue_values) > 0:
@@ -399,7 +405,7 @@ def analyze_management_quality(financial_line_items: list, insider_trades: list)
         details.append("No insider trading data available")
     
     # 5. Consistency in share count - Munger prefers stable/decreasing shares
-    share_counts = [item.outstanding_shares for item in financial_line_items
+    share_counts = [getattr(item, 'outstanding_shares', None) for item in financial_line_items
                    if hasattr(item, 'outstanding_shares') and item.outstanding_shares is not None]
     
     if share_counts and len(share_counts) >= 3:
@@ -442,7 +448,7 @@ def analyze_predictability(financial_line_items: list) -> dict:
         }
     
     # 1. Revenue stability and growth
-    revenues = [item.revenue for item in financial_line_items 
+    revenues = [getattr(item, 'revenue', None) for item in financial_line_items 
                if hasattr(item, 'revenue') and item.revenue is not None]
     
     if revenues and len(revenues) >= 5:
@@ -477,7 +483,7 @@ def analyze_predictability(financial_line_items: list) -> dict:
         details.append("Insufficient revenue history for predictability analysis")
     
     # 2. Operating income stability
-    op_income = [item.operating_income for item in financial_line_items 
+    op_income = [getattr(item, 'operating_income', None) for item in financial_line_items 
                 if hasattr(item, 'operating_income') and item.operating_income is not None]
     
     if op_income and len(op_income) >= 5:
@@ -502,7 +508,7 @@ def analyze_predictability(financial_line_items: list) -> dict:
         details.append("Insufficient operating income history")
     
     # 3. Margin consistency - Munger values stable margins
-    op_margins = [item.operating_margin for item in financial_line_items 
+    op_margins = [getattr(item, 'operating_margin', None) for item in financial_line_items 
                  if hasattr(item, 'operating_margin') and item.operating_margin is not None]
     
     if op_margins and len(op_margins) >= 5:
@@ -522,7 +528,7 @@ def analyze_predictability(financial_line_items: list) -> dict:
         details.append("Insufficient margin history")
     
     # 4. Cash generation reliability
-    fcf_values = [item.free_cash_flow for item in financial_line_items 
+    fcf_values = [getattr(item, 'free_cash_flow', None) for item in financial_line_items 
                  if hasattr(item, 'free_cash_flow') and item.free_cash_flow is not None]
     
     if fcf_values and len(fcf_values) >= 5:
@@ -569,7 +575,7 @@ def calculate_munger_valuation(financial_line_items: list, market_cap: float) ->
         }
     
     # Get FCF values (Munger's preferred "owner earnings" metric)
-    fcf_values = [item.free_cash_flow for item in financial_line_items 
+    fcf_values = [getattr(item, 'free_cash_flow', None) for item in financial_line_items 
                  if hasattr(item, 'free_cash_flow') and item.free_cash_flow is not None]
     
     if not fcf_values or len(fcf_values) < 3:
diff --git a/src/agents/fundamentals.py b/src/agents/fundamentals.py
index ab658eb44..159f44b5d 100644
--- a/src/agents/fundamentals.py
+++ b/src/agents/fundamentals.py
@@ -5,6 +5,7 @@
 import json
 
 from src.tools.api import get_financial_metrics
+from src.data.providers import get_data_provider_for_agent
 
 
 ##### Fundamental Agent #####
@@ -14,6 +15,8 @@ def fundamentals_analyst_agent(state: AgentState, agent_id: str = "fundamentals_
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     # Initialize fundamental analysis for each ticker
     fundamental_analysis = {}
 
@@ -27,6 +30,7 @@ def fundamentals_analyst_agent(state: AgentState, agent_id: str = "fundamentals_
             period="ttm",
             limit=10,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         if not financial_metrics:
diff --git a/src/agents/michael_burry.py b/src/agents/michael_burry.py
index 80f6e6953..0622038d5 100644
--- a/src/agents/michael_burry.py
+++ b/src/agents/michael_burry.py
@@ -16,6 +16,7 @@
     get_market_cap,
     search_line_items,
 )
+from src.data.providers import get_data_provider_for_agent
 from src.utils.llm import call_llm
 from src.utils.progress import progress
 from src.utils.api_key import get_api_key_from_state
@@ -32,6 +33,8 @@ class MichaelBurrySignal(BaseModel):
 def michael_burry_agent(state: AgentState, agent_id: str = "michael_burry_agent"):
     """Analyse stocks using Michael Burry's deep‑value, contrarian framework."""
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     data = state["data"]
     end_date: str = data["end_date"]  # YYYY‑MM‑DD
     tickers: list[str] = data["tickers"]
@@ -47,7 +50,7 @@ def michael_burry_agent(state: AgentState, agent_id: str = "michael_burry_agent"
         # Fetch raw data
         # ------------------------------------------------------------------
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
-        metrics = get_financial_metrics(ticker, end_date, period="ttm", limit=5, api_key=api_key)
+        metrics = get_financial_metrics(ticker, end_date, period="ttm", limit=5, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching line items")
         line_items = search_line_items(
@@ -64,16 +67,17 @@ def michael_burry_agent(state: AgentState, agent_id: str = "michael_burry_agent"
             ],
             end_date,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Fetching insider trades")
-        insider_trades = get_insider_trades(ticker, end_date=end_date, start_date=start_date)
+        insider_trades = get_insider_trades(ticker, end_date=end_date, start_date=start_date, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching company news")
-        news = get_company_news(ticker, end_date=end_date, start_date=start_date, limit=250)
+        news = get_company_news(ticker, end_date=end_date, start_date=start_date, limit=250, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         # ------------------------------------------------------------------
         # Run sub‑analyses
diff --git a/src/agents/peter_lynch.py b/src/agents/peter_lynch.py
index e936a650a..ffe896c08 100644
--- a/src/agents/peter_lynch.py
+++ b/src/agents/peter_lynch.py
@@ -5,6 +5,7 @@
     get_insider_trades,
     get_company_news,
 )
+from src.data.providers import get_data_provider_for_agent
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.messages import HumanMessage
 from pydantic import BaseModel
@@ -43,6 +44,8 @@ def peter_lynch_agent(state: AgentState, agent_id: str = "peter_lynch_agent"):
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     analysis_data = {}
     lynch_analysis = {}
 
@@ -69,16 +72,17 @@ def peter_lynch_agent(state: AgentState, agent_id: str = "peter_lynch_agent"):
             period="annual",
             limit=5,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching insider trades")
-        insider_trades = get_insider_trades(ticker, end_date, limit=50, api_key=api_key)
+        insider_trades = get_insider_trades(ticker, end_date, limit=50, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching company news")
-        company_news = get_company_news(ticker, end_date, limit=50, api_key=api_key)
+        company_news = get_company_news(ticker, end_date, limit=50, api_key=api_key, data_provider=data_provider)
 
         # Perform sub-analyses:
         progress.update_status(agent_id, ticker, "Analyzing growth")
diff --git a/src/agents/phil_fisher.py b/src/agents/phil_fisher.py
index 7dba42916..fe511b5c4 100644
--- a/src/agents/phil_fisher.py
+++ b/src/agents/phil_fisher.py
@@ -5,6 +5,7 @@
     get_insider_trades,
     get_company_news,
 )
+from src.data.providers import get_data_provider_for_agent
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.messages import HumanMessage
 from pydantic import BaseModel
@@ -37,6 +38,8 @@ def phil_fisher_agent(state: AgentState, agent_id: str = "phil_fisher_agent"):
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     analysis_data = {}
     fisher_analysis = {}
 
@@ -68,16 +71,17 @@ def phil_fisher_agent(state: AgentState, agent_id: str = "phil_fisher_agent"):
             period="annual",
             limit=5,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching insider trades")
-        insider_trades = get_insider_trades(ticker, end_date, limit=50, api_key=api_key)
+        insider_trades = get_insider_trades(ticker, end_date, limit=50, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching company news")
-        company_news = get_company_news(ticker, end_date, limit=50, api_key=api_key)
+        company_news = get_company_news(ticker, end_date, limit=50, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Analyzing growth & quality")
         growth_quality = analyze_fisher_growth_quality(financial_line_items)
@@ -228,7 +232,7 @@ def analyze_fisher_growth_quality(financial_line_items: list) -> dict:
         details.append("Not enough EPS data points for growth calculation.")
 
     # 3. R&D as % of Revenue (if we have R&D data)
-    rnd_values = [fi.research_and_development for fi in financial_line_items if fi.research_and_development is not None]
+    rnd_values = [getattr(fi, 'research_and_development', None) for fi in financial_line_items if getattr(fi, 'research_and_development', None) is not None]
     if rnd_values and revenues and len(rnd_values) == len(revenues):
         # We'll just look at the most recent for a simple measure
         recent_rnd = rnd_values[0]
diff --git a/src/agents/rakesh_jhunjhunwala.py b/src/agents/rakesh_jhunjhunwala.py
index d73b28191..b43c7d82d 100644
--- a/src/agents/rakesh_jhunjhunwala.py
+++ b/src/agents/rakesh_jhunjhunwala.py
@@ -5,6 +5,7 @@
 import json
 from typing_extensions import Literal
 from src.tools.api import get_financial_metrics, get_market_cap, search_line_items
+from src.data.providers import get_data_provider_for_agent
 from src.utils.llm import call_llm
 from src.utils.progress import progress
 from src.utils.api_key import get_api_key_from_state
@@ -20,6 +21,8 @@ def rakesh_jhunjhunwala_agent(state: AgentState, agent_id: str = "rakesh_jhunjhu
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     # Collect all analysis for LLM reasoning
     analysis_data = {}
     jhunjhunwala_analysis = {}
@@ -28,7 +31,7 @@ def rakesh_jhunjhunwala_agent(state: AgentState, agent_id: str = "rakesh_jhunjhu
 
         # Core Data
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
-        metrics = get_financial_metrics(ticker, end_date, period="ttm", limit=5, api_key=api_key)
+        metrics = get_financial_metrics(ticker, end_date, period="ttm", limit=5, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching financial line items")
         financial_line_items = search_line_items(
@@ -50,10 +53,11 @@ def rakesh_jhunjhunwala_agent(state: AgentState, agent_id: str = "rakesh_jhunjhu
             ],
             end_date,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         # ─── Analyses ───────────────────────────────────────────────────────────
         progress.update_status(agent_id, ticker, "Analyzing growth")
diff --git a/src/agents/risk_manager.py b/src/agents/risk_manager.py
index aaa16718a..a913cf0a9 100644
--- a/src/agents/risk_manager.py
+++ b/src/agents/risk_manager.py
@@ -2,6 +2,7 @@
 from src.graph.state import AgentState, show_agent_reasoning
 from src.utils.progress import progress
 from src.tools.api import get_prices, prices_to_df
+from src.data.providers import get_data_provider_for_agent
 import json
 import numpy as np
 import pandas as pd
@@ -14,6 +15,8 @@ def risk_management_agent(state: AgentState, agent_id: str = "risk_management_ag
     data = state["data"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     
     # Initialize risk analysis for each ticker
     risk_analysis = {}
@@ -31,6 +34,7 @@ def risk_management_agent(state: AgentState, agent_id: str = "risk_management_ag
             start_date=data["start_date"],
             end_date=data["end_date"],
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         if not prices:
diff --git a/src/agents/sentiment.py b/src/agents/sentiment.py
index c5a6165d3..61d2c6560 100644
--- a/src/agents/sentiment.py
+++ b/src/agents/sentiment.py
@@ -6,6 +6,7 @@
 import json
 from src.utils.api_key import get_api_key_from_state
 from src.tools.api import get_insider_trades, get_company_news
+from src.data.providers import get_data_provider_for_agent
 
 
 ##### Sentiment Agent #####
@@ -15,6 +16,8 @@ def sentiment_analyst_agent(state: AgentState, agent_id: str = "sentiment_analys
     end_date = data.get("end_date")
     tickers = data.get("tickers")
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     # Initialize sentiment analysis for each ticker
     sentiment_analysis = {}
 
@@ -27,6 +30,7 @@ def sentiment_analyst_agent(state: AgentState, agent_id: str = "sentiment_analys
             end_date=end_date,
             limit=1000,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Analyzing trading patterns")
@@ -38,7 +42,7 @@ def sentiment_analyst_agent(state: AgentState, agent_id: str = "sentiment_analys
         progress.update_status(agent_id, ticker, "Fetching company news")
 
         # Get the company news
-        company_news = get_company_news(ticker, end_date, limit=100, api_key=api_key)
+        company_news = get_company_news(ticker, end_date, limit=100, api_key=api_key, data_provider=data_provider)
 
         # Get the sentiment from the company news
         sentiment = pd.Series([n.sentiment for n in company_news]).dropna()
diff --git a/src/agents/stanley_druckenmiller.py b/src/agents/stanley_druckenmiller.py
index 073ce1d76..8121895fb 100644
--- a/src/agents/stanley_druckenmiller.py
+++ b/src/agents/stanley_druckenmiller.py
@@ -7,6 +7,7 @@
     get_company_news,
     get_prices,
 )
+from src.data.providers import get_data_provider_for_agent
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.messages import HumanMessage
 from pydantic import BaseModel
@@ -38,12 +39,14 @@ def stanley_druckenmiller_agent(state: AgentState, agent_id: str = "stanley_druc
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     analysis_data = {}
     druck_analysis = {}
 
     for ticker in tickers:
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
-        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=5, api_key=api_key)
+        metrics = get_financial_metrics(ticker, end_date, period="annual", limit=5, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Gathering financial line items")
         # Include relevant line items for Stan Druckenmiller's approach:
@@ -73,19 +76,20 @@ def stanley_druckenmiller_agent(state: AgentState, agent_id: str = "stanley_druc
             period="annual",
             limit=5,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Getting market cap")
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching insider trades")
-        insider_trades = get_insider_trades(ticker, end_date, limit=50, api_key=api_key)
+        insider_trades = get_insider_trades(ticker, end_date, limit=50, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching company news")
-        company_news = get_company_news(ticker, end_date, limit=50, api_key=api_key)
+        company_news = get_company_news(ticker, end_date, limit=50, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Fetching recent price data for momentum")
-        prices = get_prices(ticker, start_date=start_date, end_date=end_date, api_key=api_key)
+        prices = get_prices(ticker, start_date=start_date, end_date=end_date, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Analyzing growth & momentum")
         growth_momentum_analysis = analyze_growth_and_momentum(financial_line_items, prices)
diff --git a/src/agents/technicals.py b/src/agents/technicals.py
index 8bcdbd9ed..541031a76 100644
--- a/src/agents/technicals.py
+++ b/src/agents/technicals.py
@@ -9,6 +9,7 @@
 import numpy as np
 
 from src.tools.api import get_prices, prices_to_df
+from src.data.providers import get_data_provider_for_agent
 from src.utils.progress import progress
 
 
@@ -46,6 +47,8 @@ def technical_analyst_agent(state: AgentState, agent_id: str = "technical_analys
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     # Initialize analysis for each ticker
     technical_analysis = {}
 
@@ -58,6 +61,7 @@ def technical_analyst_agent(state: AgentState, agent_id: str = "technical_analys
             start_date=start_date,
             end_date=end_date,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         if not prices:
diff --git a/src/agents/valuation.py b/src/agents/valuation.py
index f6e4d0f11..c6dbad4a3 100644
--- a/src/agents/valuation.py
+++ b/src/agents/valuation.py
@@ -17,6 +17,7 @@
     get_market_cap,
     search_line_items,
 )
+from src.data.providers import get_data_provider_for_agent
 
 def valuation_analyst_agent(state: AgentState, agent_id: str = "valuation_analyst_agent"):
     """Run valuation across tickers and write signals back to `state`."""
@@ -25,6 +26,8 @@ def valuation_analyst_agent(state: AgentState, agent_id: str = "valuation_analys
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     valuation_analysis: dict[str, dict] = {}
 
     for ticker in tickers:
@@ -37,6 +40,7 @@ def valuation_analyst_agent(state: AgentState, agent_id: str = "valuation_analys
             period="ttm",
             limit=8,
             api_key=api_key,
+            data_provider=data_provider,
         )
         if not financial_metrics:
             progress.update_status(agent_id, ticker, "Failed: No financial metrics found")
@@ -58,6 +62,7 @@ def valuation_analyst_agent(state: AgentState, agent_id: str = "valuation_analys
             period="ttm",
             limit=2,
             api_key=api_key,
+            data_provider=data_provider,
         )
         if len(line_items) < 2:
             progress.update_status(agent_id, ticker, "Failed: Insufficient financial line items")
@@ -67,13 +72,16 @@ def valuation_analyst_agent(state: AgentState, agent_id: str = "valuation_analys
         # ------------------------------------------------------------------
         # Valuation models
         # ------------------------------------------------------------------
-        wc_change = li_curr.working_capital - li_prev.working_capital
+        # Calculate working capital change (current_assets - current_liabilities)
+        wc_curr = (getattr(li_curr, 'current_assets', 0) or 0) - (getattr(li_curr, 'current_liabilities', 0) or 0)
+        wc_prev = (getattr(li_prev, 'current_assets', 0) or 0) - (getattr(li_prev, 'current_liabilities', 0) or 0)
+        wc_change = wc_curr - wc_prev
 
         # Owner Earnings
         owner_val = calculate_owner_earnings_value(
-            net_income=li_curr.net_income,
-            depreciation=li_curr.depreciation_and_amortization,
-            capex=li_curr.capital_expenditure,
+            net_income=getattr(li_curr, 'net_income', 0) or 0,
+            depreciation=getattr(li_curr, 'depreciation_and_amortization', 0) or 0,
+            capex=getattr(li_curr, 'capital_expenditure', 0) or 0,
             working_capital_change=wc_change,
             growth_rate=most_recent_metrics.earnings_growth or 0.05,
         )
@@ -101,7 +109,7 @@ def valuation_analyst_agent(state: AgentState, agent_id: str = "valuation_analys
         # ------------------------------------------------------------------
         # Aggregate & signal
         # ------------------------------------------------------------------
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
         if not market_cap:
             progress.update_status(agent_id, ticker, "Failed: Market cap unavailable")
             continue
diff --git a/src/agents/warren_buffett.py b/src/agents/warren_buffett.py
index 34b11dc3b..f749fe02d 100644
--- a/src/agents/warren_buffett.py
+++ b/src/agents/warren_buffett.py
@@ -5,9 +5,15 @@
 import json
 from typing_extensions import Literal
 from src.tools.api import get_financial_metrics, get_market_cap, search_line_items
+from src.data.providers import get_data_provider_for_agent
 from src.utils.llm import call_llm
 from src.utils.progress import progress
 from src.utils.api_key import get_api_key_from_state
+from src.utils.financial_data import (
+    safe_get_numeric_field, 
+    calculate_working_capital_change,
+    validate_required_fields
+)
 
 class WarrenBuffettSignal(BaseModel):
     signal: Literal["bullish", "bearish", "neutral"]
@@ -21,6 +27,8 @@ def warren_buffett_agent(state: AgentState, agent_id: str = "warren_buffett_agen
     end_date = data["end_date"]
     tickers = data["tickers"]
     api_key = get_api_key_from_state(state, "FINANCIAL_DATASETS_API_KEY")
+    # Use centralized data provider configuration
+    data_provider = get_data_provider_for_agent(state, agent_id)
     # Collect all analysis for LLM reasoning
     analysis_data = {}
     buffett_analysis = {}
@@ -28,7 +36,7 @@ def warren_buffett_agent(state: AgentState, agent_id: str = "warren_buffett_agen
     for ticker in tickers:
         progress.update_status(agent_id, ticker, "Fetching financial metrics")
         # Fetch required data - request more periods for better trend analysis
-        metrics = get_financial_metrics(ticker, end_date, period="ttm", limit=10, api_key=api_key)
+        metrics = get_financial_metrics(ticker, end_date, period="ttm", limit=10, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Gathering financial line items")
         financial_line_items = search_line_items(
@@ -51,11 +59,12 @@ def warren_buffett_agent(state: AgentState, agent_id: str = "warren_buffett_agen
             period="ttm",
             limit=10,
             api_key=api_key,
+            data_provider=data_provider,
         )
 
         progress.update_status(agent_id, ticker, "Getting market cap")
         # Get current market cap
-        market_cap = get_market_cap(ticker, end_date, api_key=api_key)
+        market_cap = get_market_cap(ticker, end_date, api_key=api_key, data_provider=data_provider)
 
         progress.update_status(agent_id, ticker, "Analyzing fundamentals")
         # Analyze fundamentals
@@ -210,7 +219,7 @@ def analyze_consistency(financial_line_items: list) -> dict[str, any]:
     reasoning = []
 
     # Check earnings growth trend
-    earnings_values = [item.net_income for item in financial_line_items if item.net_income]
+    earnings_values = [getattr(item, 'net_income', None) for item in financial_line_items if getattr(item, 'net_income', None)]
     if len(earnings_values) >= 4:
         # Simple check: is each period's earnings bigger than the next?
         earnings_growth = all(earnings_values[i] > earnings_values[i + 1] for i in range(len(earnings_values) - 1))
@@ -383,36 +392,27 @@ def calculate_owner_earnings(financial_line_items: list) -> dict[str, any]:
     latest = financial_line_items[0]
     details = []
 
-    # Core components
-    net_income = latest.net_income
-    depreciation = latest.depreciation_and_amortization
-    capex = latest.capital_expenditure
-
-    if not all([net_income is not None, depreciation is not None, capex is not None]):
-        missing = []
-        if net_income is None: missing.append("net income")
-        if depreciation is None: missing.append("depreciation")
-        if capex is None: missing.append("capital expenditure")
-        return {"owner_earnings": None, "details": [f"Missing components: {', '.join(missing)}"]}
+    # Core components - use safe field access
+    required_fields = ["net_income", "depreciation_and_amortization", "capital_expenditure"]
+    is_valid, missing_fields = validate_required_fields(latest, required_fields)
+    
+    if not is_valid:
+        return {"owner_earnings": None, "details": [f"Missing components: {', '.join(missing_fields)}"]}
+    
+    net_income = safe_get_numeric_field(latest, "net_income")
+    depreciation = safe_get_numeric_field(latest, "depreciation_and_amortization") 
+    capex = safe_get_numeric_field(latest, "capital_expenditure")
 
     # Enhanced maintenance capex estimation using historical analysis
     maintenance_capex = estimate_maintenance_capex(financial_line_items)
     
-    # Working capital change analysis (if data available)
+    # Working capital change analysis - use utility function
     working_capital_change = 0
     if len(financial_line_items) >= 2:
         try:
-            current_assets_current = getattr(latest, 'current_assets', None)
-            current_liab_current = getattr(latest, 'current_liabilities', None)
-            
             previous = financial_line_items[1]
-            current_assets_previous = getattr(previous, 'current_assets', None)
-            current_liab_previous = getattr(previous, 'current_liabilities', None)
-            
-            if all([current_assets_current, current_liab_current, current_assets_previous, current_liab_previous]):
-                wc_current = current_assets_current - current_liab_current
-                wc_previous = current_assets_previous - current_liab_previous
-                working_capital_change = wc_current - wc_previous
+            working_capital_change = calculate_working_capital_change(latest, previous)
+            if working_capital_change != 0:
                 details.append(f"Working capital change: ${working_capital_change:,.0f}")
         except:
             pass  # Skip working capital adjustment if data unavailable
@@ -465,14 +465,15 @@ def estimate_maintenance_capex(financial_line_items: list) -> float:
                 capex_ratio = abs(item.capital_expenditure) / item.revenue
                 capex_ratios.append(capex_ratio)
         
-        if hasattr(item, 'depreciation_and_amortization') and item.depreciation_and_amortization:
-            depreciation_values.append(item.depreciation_and_amortization)
+        depreciation_value = safe_get_numeric_field(item, 'depreciation_and_amortization')
+        if depreciation_value > 0:
+            depreciation_values.append(depreciation_value)
     
     # Approach 2: Percentage of depreciation (typically 80-120% for maintenance)
-    latest_depreciation = financial_line_items[0].depreciation_and_amortization if financial_line_items[0].depreciation_and_amortization else 0
+    latest_depreciation = safe_get_numeric_field(financial_line_items[0], "depreciation_and_amortization")
     
     # Approach 3: Industry-specific heuristics
-    latest_capex = abs(financial_line_items[0].capital_expenditure) if financial_line_items[0].capital_expenditure else 0
+    latest_capex = abs(safe_get_numeric_field(financial_line_items[0], "capital_expenditure"))
     
     # Conservative estimate: Use the higher of:
     # 1. 85% of total capex (assuming 15% is growth capex)
diff --git a/src/data/providers.py b/src/data/providers.py
new file mode 100644
index 000000000..fddc346ee
--- /dev/null
+++ b/src/data/providers.py
@@ -0,0 +1,98 @@
+"""Data provider configuration and utilities."""
+
+from enum import Enum
+from pydantic import BaseModel
+from typing import Tuple
+
+
+class DataProvider(str, Enum):
+    """Enum for supported data providers"""
+    
+    FINANCIAL_DATASETS = "FinancialDatasets"
+    YFINANCE = "Yahoo Finance"
+
+
+class DataSourceModel(BaseModel):
+    """Represents a data source configuration"""
+    
+    display_name: str
+    provider: DataProvider
+    requires_api_key: bool
+    description: str
+    
+    def to_choice_tuple(self) -> Tuple[str, str]:
+        """Convert to format needed for questionary choices"""
+        return (self.display_name, self.provider.value)
+
+
+# Data source configurations
+DATA_SOURCES = {
+    "financial_datasets": DataSourceModel(
+        display_name="Financial Datasets API (Premium)",
+        provider=DataProvider.FINANCIAL_DATASETS,
+        requires_api_key=True,
+        description="Professional grade financial data with extended coverage"
+    ),
+    "yfinance": DataSourceModel(
+        display_name="Yahoo Finance (Free)",
+        provider=DataProvider.YFINANCE,
+        requires_api_key=False,
+        description="Free financial data from Yahoo Finance"
+    ),
+}
+
+# Order for display in CLI (yfinance first as default)
+DATA_SOURCE_ORDER = [
+    (
+        DATA_SOURCES["yfinance"].display_name,
+        "yfinance",
+        DATA_SOURCES["yfinance"].provider.value
+    ),
+    (
+        DATA_SOURCES["financial_datasets"].display_name,
+        "financial_datasets", 
+        DATA_SOURCES["financial_datasets"].provider.value
+    ),
+]
+
+
+def get_data_source_info(provider_key: str) -> DataSourceModel:
+    """Get data source configuration by key"""
+    return DATA_SOURCES.get(provider_key)
+
+
+def get_default_data_provider() -> str:
+    """Get the default data provider for the system"""
+    return "yfinance"  # Default to free option
+
+
+def get_data_provider_for_agent(state: dict, agent_id: str = None) -> str:
+    """
+    Get the appropriate data provider for an agent from state.
+    Centralizes data provider logic and removes hardcoded defaults from agents.
+    
+    Args:
+        state: Agent state containing metadata
+        agent_id: Optional agent ID for agent-specific overrides
+        
+    Returns:
+        str: Data provider key (e.g., "yfinance", "financial_datasets")
+    """
+    # Check if data provider is specified in metadata
+    metadata = state.get("metadata", {})
+    data_provider = metadata.get("data_provider")
+    
+    if data_provider:
+        return data_provider
+    
+    # Agent-specific defaults (if needed)
+    agent_specific_defaults = {
+        "technicals_agent": "financial_datasets",
+        "technical_analyst_agent": "financial_datasets",
+    }
+    
+    if agent_id and agent_id in agent_specific_defaults:
+        return agent_specific_defaults[agent_id]
+    
+    # System default
+    return get_default_data_provider()
\ No newline at end of file
diff --git a/src/llm/models.py b/src/llm/models.py
index aea524c49..2d9605227 100644
--- a/src/llm/models.py
+++ b/src/llm/models.py
@@ -168,6 +168,8 @@ def get_model(model_name: str, model_provider: ModelProvider, api_keys: dict = N
         return ChatOllama(
             model=model_name,
             base_url=base_url,
+            timeout=120,  # 2 minute timeout to prevent hanging
+            temperature=0.1,  # Lower temperature for more consistent JSON output
         )
     elif model_provider == ModelProvider.OPENROUTER:
         api_key = (api_keys or {}).get("OPENROUTER_API_KEY") or os.getenv("OPENROUTER_API_KEY")
diff --git a/src/main.py b/src/main.py
index 4df62891b..01acdcfe7 100644
--- a/src/main.py
+++ b/src/main.py
@@ -13,6 +13,7 @@
 from src.utils.progress import progress
 from src.llm.models import LLM_ORDER, OLLAMA_LLM_ORDER, get_model_info, ModelProvider
 from src.utils.ollama import ensure_ollama_and_model
+from src.data.providers import DATA_SOURCE_ORDER, get_data_source_info
 
 import argparse
 from datetime import datetime
@@ -51,6 +52,7 @@ def run_hedge_fund(
     selected_analysts: list[str] = [],
     model_name: str = "gpt-4.1",
     model_provider: str = "OpenAI",
+    data_provider: str = "yfinance",
 ):
     # Start progress tracking
     progress.start()
@@ -81,6 +83,7 @@ def run_hedge_fund(
                     "show_reasoning": show_reasoning,
                     "model_name": model_name,
                     "model_provider": model_provider,
+                    "data_provider": data_provider,
                 },
             },
         )
@@ -176,6 +179,28 @@ def create_workflow(selected_analysts=None):
         selected_analysts = choices
         print(f"\nSelected analysts: {', '.join(Fore.GREEN + choice.title().replace('_', ' ') + Style.RESET_ALL for choice in choices)}\n")
 
+    # Select data provider
+    data_provider_choice = questionary.select(
+        "Select your data provider:",
+        choices=[questionary.Choice(display, value=key) for display, key, provider in DATA_SOURCE_ORDER],
+        style=questionary.Style(
+            [
+                ("selected", "fg:cyan bold"),
+                ("pointer", "fg:cyan bold"),
+                ("highlighted", "fg:cyan"),
+                ("answer", "fg:cyan bold"),
+            ]
+        ),
+    ).ask()
+
+    if not data_provider_choice:
+        print("\n\nInterrupt received. Exiting...")
+        sys.exit(0)
+
+    data_source_info = get_data_source_info(data_provider_choice)
+    print(f"\nSelected data provider: {Fore.CYAN + Style.BRIGHT}{data_source_info.display_name}{Style.RESET_ALL}")
+    print(f"Description: {data_source_info.description}\n")
+
     # Select LLM model based on whether Ollama is being used
     model_name = ""
     model_provider = ""
@@ -317,5 +342,6 @@ def create_workflow(selected_analysts=None):
         selected_analysts=selected_analysts,
         model_name=model_name,
         model_provider=model_provider,
+        data_provider=data_provider_choice,
     )
     print_trading_output(result)
diff --git a/src/tools/api.py b/src/tools/api.py
index 60ccbdc9b..53bc68fbf 100644
--- a/src/tools/api.py
+++ b/src/tools/api.py
@@ -3,8 +3,14 @@
 import pandas as pd
 import requests
 import time
+try:
+    import yfinance as yf
+    YFINANCE_AVAILABLE = True
+except ImportError:
+    YFINANCE_AVAILABLE = False
 
 from src.data.cache import get_cache
+from src.data.providers import DataProvider
 from src.data.models import (
     CompanyNews,
     CompanyNewsResponse,
@@ -57,29 +63,64 @@ def _make_api_request(url: str, headers: dict, method: str = "GET", json_data: d
         return response
 
 
-def get_prices(ticker: str, start_date: str, end_date: str, api_key: str = None) -> list[Price]:
+def get_prices_yfinance(ticker: str, start_date: str, end_date: str) -> list[Price]:
+    """Fetch price data from Yahoo Finance using yfinance."""
+    if not YFINANCE_AVAILABLE:
+        raise Exception("yfinance is not installed. Please install it with: pip install yfinance")
+    
+    try:
+        # Download data from yfinance
+        data = yf.download(ticker, start=start_date, end=end_date, progress=False, auto_adjust=False)
+        
+        if data.empty:
+            return []
+        
+        # Convert to our Price model format
+        prices = []
+        for date_idx, row in data.iterrows():
+            price = Price(
+                open=row['Open'],
+                high=row['High'],
+                low=row['Low'],
+                close=row['Close'],
+                volume=row['Volume'],
+                time=date_idx.strftime('%Y-%m-%d')
+            )
+            prices.append(price)
+        
+        return prices
+        
+    except Exception as e:
+        raise Exception(f"Error fetching data from Yahoo Finance for {ticker}: {str(e)}")
+
+
+def get_prices(ticker: str, start_date: str, end_date: str, api_key: str = None, data_provider: str = "financial_datasets") -> list[Price]:
     """Fetch price data from cache or API."""
     # Create a cache key that includes all parameters to ensure exact matches
-    cache_key = f"{ticker}_{start_date}_{end_date}"
+    cache_key = f"{ticker}_{start_date}_{end_date}_{data_provider}"
     
     # Check cache first - simple exact match
     if cached_data := _cache.get_prices(cache_key):
         return [Price(**price) for price in cached_data]
 
-    # If not in cache, fetch from API
-    headers = {}
-    financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
-    if financial_api_key:
-        headers["X-API-KEY"] = financial_api_key
+    # Route to appropriate data provider
+    if data_provider == "yfinance":
+        prices = get_prices_yfinance(ticker, start_date, end_date)
+    else:
+        # Default to Financial Datasets API
+        headers = {}
+        financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
+        if financial_api_key:
+            headers["X-API-KEY"] = financial_api_key
 
-    url = f"https://api.financialdatasets.ai/prices/?ticker={ticker}&interval=day&interval_multiplier=1&start_date={start_date}&end_date={end_date}"
-    response = _make_api_request(url, headers)
-    if response.status_code != 200:
-        raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
+        url = f"https://api.financialdatasets.ai/prices/?ticker={ticker}&interval=day&interval_multiplier=1&start_date={start_date}&end_date={end_date}"
+        response = _make_api_request(url, headers)
+        if response.status_code != 200:
+            raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
 
-    # Parse response with Pydantic model
-    price_response = PriceResponse(**response.json())
-    prices = price_response.prices
+        # Parse response with Pydantic model
+        price_response = PriceResponse(**response.json())
+        prices = price_response.prices
 
     if not prices:
         return []
@@ -89,35 +130,150 @@ def get_prices(ticker: str, start_date: str, end_date: str, api_key: str = None)
     return prices
 
 
+def get_financial_metrics_yfinance(ticker: str, end_date: str = None) -> list[FinancialMetrics]:
+    """Fetch financial metrics from Yahoo Finance using yfinance."""
+    if not YFINANCE_AVAILABLE:
+        raise Exception("yfinance is not installed. Please install it with: pip install yfinance")
+    
+    try:
+        ticker_obj = yf.Ticker(ticker)
+        info = ticker_obj.info
+        
+        # Defensive check: ensure info is a dict and not None
+        if not info or not isinstance(info, dict):
+            raise Exception(f"No valid info data returned for ticker {ticker}")
+        
+        # Helper function to safely get numeric values
+        def safe_get_numeric(key: str, default=None):
+            """Safely get numeric values from info dict, handling None cases."""
+            value = info.get(key, default)
+            # Ensure we don't pass None where a number is expected for calculations
+            if value is None:
+                return None
+            try:
+                # Ensure it's a valid number
+                return float(value) if value is not None else None
+            except (ValueError, TypeError):
+                return None
+        
+        # Helper function to safely get string values  
+        def safe_get_string(key: str, default='USD'):
+            """Safely get string values from info dict."""
+            value = info.get(key, default)
+            if value is None:
+                return default
+            try:
+                str_value = str(value)
+                # Ensure the string is not empty and contains valid characters
+                return str_value if str_value and str_value.strip() else default
+            except (ValueError, TypeError):
+                return default
+        
+        # Create a single FinancialMetrics object with available data
+        metric = FinancialMetrics(
+            ticker=ticker,
+            report_period="ttm",
+            period="ttm",
+            currency=safe_get_string('currency', 'USD'),
+            
+            # Valuation metrics
+            market_cap=safe_get_numeric('marketCap'),
+            enterprise_value=safe_get_numeric('enterpriseValue'),
+            price_to_earnings_ratio=safe_get_numeric('trailingPE'),
+            price_to_book_ratio=safe_get_numeric('priceToBook'),
+            price_to_sales_ratio=safe_get_numeric('priceToSalesTrailing12Months'),
+            enterprise_value_to_ebitda_ratio=safe_get_numeric('enterpriseToEbitda'),
+            enterprise_value_to_revenue_ratio=safe_get_numeric('enterpriseToRevenue'),
+            
+            # Set unavailable fields to None
+            free_cash_flow_yield=None,
+            peg_ratio=safe_get_numeric('pegRatio'),
+            
+            # Profitability metrics
+            gross_margin=safe_get_numeric('grossMargins'),
+            operating_margin=safe_get_numeric('operatingMargins'),
+            net_margin=safe_get_numeric('profitMargins'),  # profit_margin is same as net_margin
+            
+            # Returns
+            return_on_equity=safe_get_numeric('returnOnEquity'),
+            return_on_assets=safe_get_numeric('returnOnAssets'),
+            return_on_invested_capital=None,  # Not available in yfinance
+            
+            # Efficiency metrics (not available in yfinance info)
+            asset_turnover=None,
+            inventory_turnover=None,
+            receivables_turnover=None,
+            days_sales_outstanding=None,
+            operating_cycle=None,
+            working_capital_turnover=None,
+            
+            # Liquidity metrics
+            current_ratio=safe_get_numeric('currentRatio'),
+            quick_ratio=safe_get_numeric('quickRatio'),
+            cash_ratio=None,  # Not available in yfinance
+            operating_cash_flow_ratio=None,  # Not available in yfinance
+            
+            # Leverage metrics
+            debt_to_equity=safe_get_numeric('debtToEquity'),
+            debt_to_assets=None,  # Not available in yfinance
+            interest_coverage=None,  # Not available in yfinance
+            
+            # Growth metrics
+            revenue_growth=safe_get_numeric('revenueGrowth'),
+            earnings_growth=safe_get_numeric('earningsGrowth'),
+            book_value_growth=None,  # Not available in yfinance
+            earnings_per_share_growth=None,  # Not available in yfinance
+            free_cash_flow_growth=None,  # Not available in yfinance
+            operating_income_growth=None,  # Not available in yfinance
+            ebitda_growth=None,  # Not available in yfinance
+            
+            # Other metrics
+            payout_ratio=safe_get_numeric('payoutRatio'),
+            earnings_per_share=safe_get_numeric('trailingEps'),
+            book_value_per_share=safe_get_numeric('bookValue'),
+            free_cash_flow_per_share=None,  # Not available in yfinance
+        )
+        
+        return [metric] if metric else []
+        
+    except Exception as e:
+        raise Exception(f"Error fetching financial metrics from Yahoo Finance for {ticker}: {str(e)}")
+
+
 def get_financial_metrics(
     ticker: str,
     end_date: str,
     period: str = "ttm",
     limit: int = 10,
     api_key: str = None,
+    data_provider: str = "financial_datasets",
 ) -> list[FinancialMetrics]:
     """Fetch financial metrics from cache or API."""
     # Create a cache key that includes all parameters to ensure exact matches
-    cache_key = f"{ticker}_{period}_{end_date}_{limit}"
+    cache_key = f"{ticker}_{period}_{end_date}_{limit}_{data_provider}"
     
     # Check cache first - simple exact match
     if cached_data := _cache.get_financial_metrics(cache_key):
         return [FinancialMetrics(**metric) for metric in cached_data]
 
-    # If not in cache, fetch from API
-    headers = {}
-    financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
-    if financial_api_key:
-        headers["X-API-KEY"] = financial_api_key
+    # Route to appropriate data provider
+    if data_provider == "yfinance":
+        financial_metrics = get_financial_metrics_yfinance(ticker, end_date)
+    else:
+        # Default to Financial Datasets API
+        headers = {}
+        financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
+        if financial_api_key:
+            headers["X-API-KEY"] = financial_api_key
 
-    url = f"https://api.financialdatasets.ai/financial-metrics/?ticker={ticker}&report_period_lte={end_date}&limit={limit}&period={period}"
-    response = _make_api_request(url, headers)
-    if response.status_code != 200:
-        raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
+        url = f"https://api.financialdatasets.ai/financial-metrics/?ticker={ticker}&report_period_lte={end_date}&limit={limit}&period={period}"
+        response = _make_api_request(url, headers)
+        if response.status_code != 200:
+            raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
 
-    # Parse response with Pydantic model
-    metrics_response = FinancialMetricsResponse(**response.json())
-    financial_metrics = metrics_response.financial_metrics
+        # Parse response with Pydantic model
+        metrics_response = FinancialMetricsResponse(**response.json())
+        financial_metrics = metrics_response.financial_metrics
 
     if not financial_metrics:
         return []
@@ -127,6 +283,136 @@ def get_financial_metrics(
     return financial_metrics
 
 
+def search_line_items_yfinance(
+    ticker: str,
+    line_items: list[str],
+    end_date: str = None,
+    period: str = "ttm",
+    limit: int = 10,
+) -> list[LineItem]:
+    """Fetch line items from Yahoo Finance using yfinance."""
+    if not YFINANCE_AVAILABLE:
+        raise Exception("yfinance is not installed. Please install it with: pip install yfinance")
+    
+    try:
+        ticker_obj = yf.Ticker(ticker)
+        
+        # Get financial statements based on period
+        if period == "ttm" or period == "annual":
+            income_stmt = ticker_obj.income_stmt
+            balance_sheet = ticker_obj.balance_sheet
+            cashflow = ticker_obj.cashflow
+        else:
+            income_stmt = ticker_obj.quarterly_income_stmt
+            balance_sheet = ticker_obj.quarterly_balance_sheet
+            cashflow = ticker_obj.quarterly_cashflow
+        
+        # Mapping of common line items to yfinance field names
+        line_item_mapping = {
+            # Revenue & Income
+            "revenue": "Total Revenue",
+            "total_revenue": "Total Revenue", 
+            "net_income": "Net Income",
+            "operating_income": "Operating Income",
+            "ebit": "EBIT",
+            "ebitda": "EBITDA",
+            "gross_margin": "Gross Profit",
+            "operating_margin": "Operating Income",
+            
+            # Per Share Metrics
+            "earnings_per_share": "Diluted EPS",
+            "book_value_per_share": "Stockholders Equity",
+            "outstanding_shares": "Share Issued",
+            
+            # Balance Sheet Items
+            "total_assets": "Total Assets",
+            "total_liabilities": "Total Liabilities Net Minority Interest",
+            "current_assets": "Current Assets",
+            "current_liabilities": "Current Liabilities",
+            "cash_and_equivalents": "Cash And Cash Equivalents",
+            "total_debt": "Total Debt",
+            "goodwill_and_intangible_assets": "Goodwill And Other Intangible Assets",
+            "intangible_assets": "Other Intangible Assets",
+            "shareholders_equity": "Stockholders Equity",
+            
+            # Cash Flow Items
+            "free_cash_flow": "Free Cash Flow",
+            "capital_expenditure": "Capital Expenditure",
+            "depreciation_and_amortization": "Depreciation And Amortization",
+            "dividends_and_other_cash_distributions": "Cash Dividends Paid",
+            "issuance_or_purchase_of_equity_shares": "Common Stock Issuance",
+            
+            # Expense Items
+            "operating_expense": "Total Expenses",
+            "research_and_development": "Research And Development",
+            "interest_expense": "Interest Expense",
+            
+            # Financial Ratios & Metrics (these come from financial metrics API, not line items)
+            "debt_to_equity": "Total Debt",  # Will need calculation
+            "asset_turnover": None,  # Not available in line items
+            "beta": None,  # Not available in line items
+            "ev_to_ebit": None,  # Not available in line items
+            "return_on_invested_capital": None,  # Not available in line items
+        }
+        
+        # Get all unique periods from the data
+        all_periods = set()
+        if income_stmt is not None and not income_stmt.empty:
+            all_periods.update(income_stmt.columns)
+        if balance_sheet is not None and not balance_sheet.empty:
+            all_periods.update(balance_sheet.columns)
+        if cashflow is not None and not cashflow.empty:
+            all_periods.update(cashflow.columns)
+        
+        # Sort periods (most recent first)
+        sorted_periods = sorted(all_periods, reverse=True)[:limit]
+        
+        results = []
+        
+        for period_date in sorted_periods:
+            line_item_data = {
+                "ticker": ticker,
+                "report_period": str(period_date.date()) if hasattr(period_date, 'date') else str(period_date),
+                "period": period,
+                "currency": 'USD',  # Default currency
+            }
+            
+            # Collect all requested line items for this period
+            for item in line_items:
+                yfinance_name = line_item_mapping.get(item, item)
+                value = None
+                
+                # Skip if yfinance_name is None (not available in yfinance)
+                if yfinance_name is None:
+                    continue
+                
+                # Search in income statement first
+                if income_stmt is not None and yfinance_name in income_stmt.index and period_date in income_stmt.columns:
+                    value = income_stmt.loc[yfinance_name, period_date]
+                
+                # Then balance sheet
+                elif balance_sheet is not None and yfinance_name in balance_sheet.index and period_date in balance_sheet.columns:
+                    value = balance_sheet.loc[yfinance_name, period_date]
+                
+                # Then cash flow
+                elif cashflow is not None and yfinance_name in cashflow.index and period_date in cashflow.columns:
+                    value = cashflow.loc[yfinance_name, period_date]
+                
+                # Add to line_item_data if value is valid
+                if value is not None and not pd.isna(value):
+                    line_item_data[item] = float(value)
+            
+            # Only create LineItem if we have at least one valid value
+            if len(line_item_data) > 4:  # More than just the base fields
+                line_item = LineItem(**line_item_data)
+                results.append(line_item)
+        
+        return results
+        
+    except Exception as e:
+        raise Exception(f"Error fetching line items from Yahoo Finance for {ticker}: {str(e)}")
+
+
 def search_line_items(
     ticker: str,
     line_items: list[str],
@@ -134,34 +420,84 @@ def search_line_items(
     period: str = "ttm",
     limit: int = 10,
     api_key: str = None,
+    data_provider: str = "financial_datasets",
 ) -> list[LineItem]:
-    """Fetch line items from API."""
-    # If not in cache or insufficient data, fetch from API
-    headers = {}
-    financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
-    if financial_api_key:
-        headers["X-API-KEY"] = financial_api_key
-
-    url = "https://api.financialdatasets.ai/financials/search/line-items"
-
-    body = {
-        "tickers": [ticker],
-        "line_items": line_items,
-        "end_date": end_date,
-        "period": period,
-        "limit": limit,
-    }
-    response = _make_api_request(url, headers, method="POST", json_data=body)
-    if response.status_code != 200:
-        raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
-    data = response.json()
-    response_model = LineItemResponse(**data)
-    search_results = response_model.search_results
-    if not search_results:
-        return []
+    """Fetch line items from cache or API."""
+    # Route to appropriate data provider
+    if data_provider == "yfinance":
+        return search_line_items_yfinance(ticker, line_items, end_date, period, limit)
+    else:
+        # Default to Financial Datasets API
+        headers = {}
+        financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
+        if financial_api_key:
+            headers["X-API-KEY"] = financial_api_key
 
-    # Cache the results
-    return search_results[:limit]
+        url = "https://api.financialdatasets.ai/financials/search/line-items"
+
+        body = {
+            "tickers": [ticker],
+            "line_items": line_items,
+            "end_date": end_date,
+            "period": period,
+            "limit": limit,
+        }
+        response = _make_api_request(url, headers, method="POST", json_data=body)
+        if response.status_code != 200:
+            raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
+        data = response.json()
+        response_model = LineItemResponse(**data)
+        search_results = response_model.search_results
+        if not search_results:
+            return []
+
+        # Cache the results
+        return search_results[:limit]
+
+
+def get_insider_trades_yfinance(
+    ticker: str,
+    end_date: str = None,
+    start_date: str = None,
+    limit: int = 1000,
+) -> list[InsiderTrade]:
+    """Fetch insider trades from Yahoo Finance using yfinance."""
+    if not YFINANCE_AVAILABLE:
+        raise Exception("yfinance is not installed. Please install it with: pip install yfinance")
+    
+    try:
+        ticker_obj = yf.Ticker(ticker)
+        insider_data = ticker_obj.insider_transactions
+        
+        if insider_data is None or insider_data.empty:
+            return []
+        
+        trades = []
+        for _, row in insider_data.iterrows():
+            # Basic data mapping - yfinance has limited insider trade details
+            trade = InsiderTrade(
+                ticker=ticker,
+                issuer=None,  # Not available in yfinance
+                name=str(row.get('Insider', '')),
+                title=str(row.get('Position', '')),
+                is_board_director=None,  # Not available in yfinance
+                transaction_date=str(row.get('Start Date', '')),
+                transaction_shares=int(row.get('Shares', 0)) if pd.notnull(row.get('Shares')) else 0,
+                transaction_price_per_share=None,  # Not available in yfinance
+                transaction_value=float(row.get('Value', 0)) if pd.notnull(row.get('Value')) else 0.0,
+                shares_owned_before_transaction=None,  # Not available in yfinance
+                shares_owned_after_transaction=None,  # Not available in yfinance
+                security_title=None,  # Not available in yfinance
+                filing_date=str(row.get('Start Date', '')),  # Use same date for filing
+            )
+            trades.append(trade)
+        
+        return trades[:limit]
+        
+    except Exception as e:
+        # Return empty list instead of raising exception for non-critical data
+        print(f"Warning: Could not fetch insider trades from Yahoo Finance for {ticker}: {str(e)}")
+        return []
 
 
 def get_insider_trades(
@@ -170,53 +506,58 @@ def get_insider_trades(
     start_date: str | None = None,
     limit: int = 1000,
     api_key: str = None,
+    data_provider: str = "financial_datasets",
 ) -> list[InsiderTrade]:
     """Fetch insider trades from cache or API."""
     # Create a cache key that includes all parameters to ensure exact matches
-    cache_key = f"{ticker}_{start_date or 'none'}_{end_date}_{limit}"
+    cache_key = f"{ticker}_{start_date or 'none'}_{end_date}_{limit}_{data_provider}"
     
     # Check cache first - simple exact match
     if cached_data := _cache.get_insider_trades(cache_key):
         return [InsiderTrade(**trade) for trade in cached_data]
 
-    # If not in cache, fetch from API
-    headers = {}
-    financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
-    if financial_api_key:
-        headers["X-API-KEY"] = financial_api_key
+    # Route to appropriate data provider
+    if data_provider == "yfinance":
+        all_trades = get_insider_trades_yfinance(ticker, end_date, start_date, limit)
+    else:
+        # Default to Financial Datasets API
+        headers = {}
+        financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
+        if financial_api_key:
+            headers["X-API-KEY"] = financial_api_key
 
-    all_trades = []
-    current_end_date = end_date
+        all_trades = []
+        current_end_date = end_date
 
-    while True:
-        url = f"https://api.financialdatasets.ai/insider-trades/?ticker={ticker}&filing_date_lte={current_end_date}"
-        if start_date:
-            url += f"&filing_date_gte={start_date}"
-        url += f"&limit={limit}"
+        while True:
+            url = f"https://api.financialdatasets.ai/insider-trades/?ticker={ticker}&filing_date_lte={current_end_date}"
+            if start_date:
+                url += f"&filing_date_gte={start_date}"
+            url += f"&limit={limit}"
 
-        response = _make_api_request(url, headers)
-        if response.status_code != 200:
-            raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
+            response = _make_api_request(url, headers)
+            if response.status_code != 200:
+                raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
 
-        data = response.json()
-        response_model = InsiderTradeResponse(**data)
-        insider_trades = response_model.insider_trades
+            data = response.json()
+            response_model = InsiderTradeResponse(**data)
+            insider_trades = response_model.insider_trades
 
-        if not insider_trades:
-            break
+            if not insider_trades:
+                break
 
-        all_trades.extend(insider_trades)
+            all_trades.extend(insider_trades)
 
-        # Only continue pagination if we have a start_date and got a full page
-        if not start_date or len(insider_trades) < limit:
-            break
+            # Only continue pagination if we have a start_date and got a full page
+            if not start_date or len(insider_trades) < limit:
+                break
 
-        # Update end_date to the oldest filing date from current batch for next iteration
-        current_end_date = min(trade.filing_date for trade in insider_trades).split("T")[0]
+            # Update end_date to the oldest filing date from current batch for next iteration
+            current_end_date = min(trade.filing_date for trade in insider_trades).split("T")[0]
 
-        # If we've reached or passed the start_date, we can stop
-        if current_end_date <= start_date:
-            break
+            # If we've reached or passed the start_date, we can stop
+            if current_end_date <= start_date:
+                break
 
     if not all_trades:
         return []
@@ -226,102 +567,168 @@ def get_insider_trades(
     return all_trades
 
 
+def get_company_news_yfinance(
+    ticker: str,
+    end_date: str = None,
+    start_date: str = None,
+    limit: int = 1000,
+) -> list[CompanyNews]:
+    """Fetch company news from Yahoo Finance using yfinance."""
+    if not YFINANCE_AVAILABLE:
+        raise Exception("yfinance is not installed. Please install it with: pip install yfinance")
+    
+    try:
+        ticker_obj = yf.Ticker(ticker)
+        news_data = ticker_obj.news
+        
+        if not news_data:
+            return []
+        
+        news_items = []
+        for item in news_data[:limit]:
+            content = item.get('content', {})
+            if content:
+                news = CompanyNews(
+                    ticker=ticker,
+                    title=content.get('title', ''),
+                    author='',  # yfinance doesn't provide author info
+                    source=content.get('publisher', {}).get('name', '') if isinstance(content.get('publisher'), dict) else str(content.get('publisher', '')),
+                    url=content.get('clickThroughUrl', {}).get('url', '') if isinstance(content.get('clickThroughUrl'), dict) else str(content.get('clickThroughUrl', '')),
+                    date=content.get('publishedAt', ''),
+                    sentiment='neutral'  # yfinance doesn't provide sentiment
+                )
+                news_items.append(news)
+        
+        return news_items
+        
+    except Exception as e:
+        # Return empty list instead of raising exception for non-critical data
+        print(f"Warning: Could not fetch company news from Yahoo Finance for {ticker}: {str(e)}")
+        return []
+
+
 def get_company_news(
     ticker: str,
     end_date: str,
     start_date: str | None = None,
     limit: int = 1000,
     api_key: str = None,
+    data_provider: str = "financial_datasets",
 ) -> list[CompanyNews]:
     """Fetch company news from cache or API."""
     # Create a cache key that includes all parameters to ensure exact matches
-    cache_key = f"{ticker}_{start_date or 'none'}_{end_date}_{limit}"
+    cache_key = f"{ticker}_{start_date or 'none'}_{end_date}_{limit}_{data_provider}"
     
     # Check cache first - simple exact match
     if cached_data := _cache.get_company_news(cache_key):
         return [CompanyNews(**news) for news in cached_data]
 
-    # If not in cache, fetch from API
-    headers = {}
-    financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
-    if financial_api_key:
-        headers["X-API-KEY"] = financial_api_key
+    # Route to appropriate data provider
+    if data_provider == "yfinance":
+        all_news = get_company_news_yfinance(ticker, end_date, start_date, limit)
+    else:
+        # Default to Financial Datasets API
+        headers = {}
+        financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
+        if financial_api_key:
+            headers["X-API-KEY"] = financial_api_key
 
-    all_news = []
-    current_end_date = end_date
+        all_news = []
+        current_end_date = end_date
 
-    while True:
-        url = f"https://api.financialdatasets.ai/news/?ticker={ticker}&end_date={current_end_date}"
-        if start_date:
-            url += f"&start_date={start_date}"
-        url += f"&limit={limit}"
+        while True:
+            url = f"https://api.financialdatasets.ai/news/?ticker={ticker}&end_date={current_end_date}"
+            if start_date:
+                url += f"&start_date={start_date}"
+            url += f"&limit={limit}"
 
-        response = _make_api_request(url, headers)
-        if response.status_code != 200:
-            raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
+            response = _make_api_request(url, headers)
+            if response.status_code != 200:
+                raise Exception(f"Error fetching data: {ticker} - {response.status_code} - {response.text}")
 
-        data = response.json()
-        response_model = CompanyNewsResponse(**data)
-        company_news = response_model.news
+            data = response.json()
+            response_model = CompanyNewsResponse(**data)
+            company_news = response_model.news
 
-        if not company_news:
-            break
+            if not company_news:
+                break
 
-        all_news.extend(company_news)
+            all_news.extend(company_news)
 
-        # Only continue pagination if we have a start_date and got a full page
-        if not start_date or len(company_news) < limit:
-            break
+            # Only continue pagination if we have a start_date and got a full page
+            if not start_date or len(company_news) < limit:
+                break
 
-        # Update end_date to the oldest date from current batch for next iteration
-        current_end_date = min(news.date for news in company_news).split("T")[0]
+            # Update end_date to the oldest date from current batch for next iteration
+            current_end_date = min(news.date for news in company_news).split("T")[0]
 
-        # If we've reached or passed the start_date, we can stop
-        if current_end_date <= start_date:
-            break
+            # If we've reached or passed the start_date, we can stop
+            if current_end_date <= start_date:
+                break
 
-    if not all_news:
-        return []
+        if not all_news:
+            return []
 
     # Cache the results using the comprehensive cache key
     _cache.set_company_news(cache_key, [news.model_dump() for news in all_news])
     return all_news
 
 
+def get_market_cap_yfinance(ticker: str, end_date: str = None) -> float | None:
+    """Fetch market cap from Yahoo Finance using yfinance."""
+    if not YFINANCE_AVAILABLE:
+        raise Exception("yfinance is not installed. Please install it with: pip install yfinance")
+    
+    try:
+        ticker_obj = yf.Ticker(ticker)
+        info = ticker_obj.info
+        return info.get('marketCap')
+        
+    except Exception as e:
+        print(f"Warning: Could not fetch market cap from Yahoo Finance for {ticker}: {str(e)}")
+        return None
+
+
 def get_market_cap(
     ticker: str,
     end_date: str,
     api_key: str = None,
+    data_provider: str = "financial_datasets",
 ) -> float | None:
     """Fetch market cap from the API."""
-    # Check if end_date is today
-    if end_date == datetime.datetime.now().strftime("%Y-%m-%d"):
-        # Get the market cap from company facts API
-        headers = {}
-        financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
-        if financial_api_key:
-            headers["X-API-KEY"] = financial_api_key
-
-        url = f"https://api.financialdatasets.ai/company/facts/?ticker={ticker}"
-        response = _make_api_request(url, headers)
-        if response.status_code != 200:
-            print(f"Error fetching company facts: {ticker} - {response.status_code}")
+    # Route to appropriate data provider
+    if data_provider == "yfinance":
+        return get_market_cap_yfinance(ticker, end_date)
+    else:
+        # Default to Financial Datasets API
+        # Check if end_date is today
+        if end_date == datetime.datetime.now().strftime("%Y-%m-%d"):
+            # Get the market cap from company facts API
+            headers = {}
+            financial_api_key = api_key or os.environ.get("FINANCIAL_DATASETS_API_KEY")
+            if financial_api_key:
+                headers["X-API-KEY"] = financial_api_key
+
+            url = f"https://api.financialdatasets.ai/company/facts/?ticker={ticker}"
+            response = _make_api_request(url, headers)
+            if response.status_code != 200:
+                print(f"Error fetching company facts: {ticker} - {response.status_code}")
+                return None
+
+            data = response.json()
+            response_model = CompanyFactsResponse(**data)
+            return response_model.company_facts.market_cap
+
+        financial_metrics = get_financial_metrics(ticker, end_date, api_key=api_key, data_provider=data_provider)
+        if not financial_metrics:
             return None
 
-        data = response.json()
-        response_model = CompanyFactsResponse(**data)
-        return response_model.company_facts.market_cap
-
-    financial_metrics = get_financial_metrics(ticker, end_date, api_key=api_key)
-    if not financial_metrics:
-        return None
+        market_cap = financial_metrics[0].market_cap
 
-    market_cap = financial_metrics[0].market_cap
-
-    if not market_cap:
-        return None
+        if not market_cap:
+            return None
 
-    return market_cap
+        return market_cap
 
 
 def prices_to_df(prices: list[Price]) -> pd.DataFrame:
diff --git a/src/utils/financial_data.py b/src/utils/financial_data.py
new file mode 100644
index 000000000..4dd2f0fe5
--- /dev/null
+++ b/src/utils/financial_data.py
@@ -0,0 +1,125 @@
+"""Utilities for safe financial data access."""
+
+from typing import Any, Union, Optional
+from src.data.models import LineItem, FinancialMetrics
+
+
+def safe_get_field(
+    data_item: Union[LineItem, FinancialMetrics], 
+    field_name: str, 
+    default: Any = None
+) -> Any:
+    """
+    Safely get a field from a financial data item with proper fallback.
+    
+    Args:
+        data_item: LineItem or FinancialMetrics object
+        field_name: Name of the field to access
+        default: Default value if field doesn't exist or is None
+        
+    Returns:
+        Field value or default
+    """
+    try:
+        value = getattr(data_item, field_name, default)
+        # Return default for None, NaN, or empty values
+        if value is None or (isinstance(value, float) and value != value):  # NaN check
+            return default
+        return value
+    except (AttributeError, TypeError):
+        return default
+
+
+def safe_get_numeric_field(
+    data_item: Union[LineItem, FinancialMetrics], 
+    field_name: str, 
+    default: float = 0.0
+) -> float:
+    """
+    Safely get a numeric field with 0.0 as default.
+    
+    Args:
+        data_item: LineItem or FinancialMetrics object
+        field_name: Name of the field to access
+        default: Default numeric value (defaults to 0.0)
+        
+    Returns:
+        Numeric field value or default
+    """
+    value = safe_get_field(data_item, field_name, default)
+    try:
+        return float(value) if value is not None else default
+    except (ValueError, TypeError):
+        return default
+
+
+def calculate_working_capital_change(
+    current_item: LineItem, 
+    previous_item: Optional[LineItem] = None
+) -> float:
+    """
+    Calculate working capital change between periods.
+    
+    Args:
+        current_item: Current period financial data
+        previous_item: Previous period financial data (optional)
+        
+    Returns:
+        Working capital change (0 if previous period not available)
+    """
+    if previous_item is None:
+        return 0.0
+    
+    current_wc = (
+        safe_get_numeric_field(current_item, 'current_assets') - 
+        safe_get_numeric_field(current_item, 'current_liabilities')
+    )
+    
+    previous_wc = (
+        safe_get_numeric_field(previous_item, 'current_assets') - 
+        safe_get_numeric_field(previous_item, 'current_liabilities')
+    )
+    
+    return current_wc - previous_wc
+
+
+def calculate_shareholders_equity(data_item: Union[LineItem, FinancialMetrics]) -> float:
+    """
+    Calculate shareholders equity from total assets and liabilities.
+    
+    Args:
+        data_item: Financial data item
+        
+    Returns:
+        Shareholders equity or 0 if cannot be calculated
+    """
+    total_assets = safe_get_numeric_field(data_item, 'total_assets')
+    total_liabilities = safe_get_numeric_field(data_item, 'total_liabilities')
+    
+    if total_assets > 0 and total_liabilities >= 0:
+        return total_assets - total_liabilities
+    return 0.0
+
+
+def validate_required_fields(
+    data_item: Union[LineItem, FinancialMetrics], 
+    required_fields: list[str]
+) -> tuple[bool, list[str]]:
+    """
+    Validate that required fields are present and not None.
+    
+    Args:
+        data_item: Financial data item to validate
+        required_fields: List of required field names
+        
+    Returns:
+        Tuple of (is_valid, missing_fields)
+    """
+    missing_fields = []
+    
+    for field in required_fields:
+        value = safe_get_field(data_item, field)
+        if value is None:
+            missing_fields.append(field)
+    
+    return len(missing_fields) == 0, missing_fields
\ No newline at end of file
diff --git a/src/utils/llm.py b/src/utils/llm.py
index c7535d5d2..8f14cc838 100644
--- a/src/utils/llm.py
+++ b/src/utils/llm.py
@@ -48,8 +48,8 @@ def call_llm(
     model_info = get_model_info(model_name, model_provider)
     llm = get_model(model_name, model_provider, api_keys)
 
-    # For non-JSON support models, we can use structured output
-    if not (model_info and not model_info.has_json_mode()):
+    # For models that support JSON mode, use structured output
+    if model_info and model_info.has_json_mode():
         llm = llm.with_structured_output(
             pydantic_model,
             method="json_mode",
@@ -61,13 +61,28 @@ def call_llm(
             # Call the LLM
             result = llm.invoke(prompt)
 
-            # For non-JSON support models, we need to extract and parse the JSON manually
+            # For models without JSON support, we need to extract and parse the JSON manually
             if model_info and not model_info.has_json_mode():
                 parsed_result = extract_json_from_response(result.content)
                 if parsed_result:
                     return pydantic_model(**parsed_result)
+                else:
+                    # If we couldn't parse JSON, raise an exception to trigger retry
+                    raise Exception("Could not extract valid JSON from response")
             else:
-                return result
+                # For models with JSON support, check if result is already a Pydantic model
+                if isinstance(result, pydantic_model):
+                    return result
+                elif hasattr(result, 'content'):
+                    # If it's an AIMessage or similar, extract the content and parse it
+                    parsed_result = extract_json_from_response(result.content)
+                    if parsed_result:
+                        return pydantic_model(**parsed_result)
+                    else:
+                        raise Exception("Could not extract valid JSON from structured output response")
+                else:
+                    # If it's neither, try to use it directly as a Pydantic model
+                    return result
 
         except Exception as e:
             if agent_name:
@@ -107,17 +122,82 @@ def create_default_response(model_class: type[BaseModel]) -> BaseModel:
 
 
 def extract_json_from_response(content: str) -> dict | None:
-    """Extracts JSON from markdown-formatted response."""
+    """Extracts JSON from markdown-formatted response with improved error handling."""
+    if not content:
+        return None
+        
     try:
-        json_start = content.find("```json")
+        # Try to parse the entire content as JSON first (in case it's pure JSON)
+        try:
+            return json.loads(content.strip())
+        except json.JSONDecodeError:
+            pass
+        
+        # Try to find JSON block with multiple patterns
+        patterns = ["```json", "```JSON", "json```", "```"]
+        json_start = -1
+        pattern_used = ""
+        
+        for pattern in patterns:
+            idx = content.find(pattern)
+            if idx != -1:
+                json_start = idx
+                pattern_used = pattern
+                break
+        
         if json_start != -1:
-            json_text = content[json_start + 7 :]  # Skip past ```json
+            # Skip past the pattern
+            json_text = content[json_start + len(pattern_used):]
+            
+            # Find the end marker
             json_end = json_text.find("```")
             if json_end != -1:
-                json_text = json_text[:json_end].strip()
+                json_text = json_text[:json_end]
+            
+            # Clean up the text
+            json_text = json_text.strip()
+            
+            # Remove any leading/trailing text that isn't JSON
+            # Find the first { or [
+            first_brace = json_text.find("{")
+            first_bracket = json_text.find("[")
+            
+            start_pos = -1
+            if first_brace != -1 and (first_bracket == -1 or first_brace < first_bracket):
+                start_pos = first_brace
+            elif first_bracket != -1:
+                start_pos = first_bracket
+                
+            if start_pos != -1:
+                json_text = json_text[start_pos:]
+                
+                # Find the last } or ]
+                last_brace = json_text.rfind("}")
+                last_bracket = json_text.rfind("]")
+                
+                end_pos = -1
+                if last_brace != -1 and (last_bracket == -1 or last_brace > last_bracket):
+                    end_pos = last_brace + 1
+                elif last_bracket != -1:
+                    end_pos = last_bracket + 1
+                    
+                if end_pos != -1:
+                    json_text = json_text[:end_pos]
+            
+            if json_text:
+                return json.loads(json_text)
+                
+        # If no markdown blocks found, try to extract JSON directly
+        first_brace = content.find("{")
+        if first_brace != -1:
+            last_brace = content.rfind("}")
+            if last_brace != -1 and last_brace > first_brace:
+                json_text = content[first_brace:last_brace + 1]
                 return json.loads(json_text)
+                
     except Exception as e:
         print(f"Error extracting JSON from response: {e}")
+        print(f"Response content: {repr(content[:500])}")  # Show first 500 chars for debugging
     return None