_is_pydantic_class() — langchain Function Reference
Architecture documentation for the _is_pydantic_class() function in azure.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 7423466c_1e06_9777_2de7_6b4fd337c0a3["_is_pydantic_class()"] ef9bdb52_a391_60d7_aba7_c560e09cedd4["azure.py"] 7423466c_1e06_9777_2de7_6b4fd337c0a3 -->|defined in| ef9bdb52_a391_60d7_aba7_c560e09cedd4 style 7423466c_1e06_9777_2de7_6b4fd337c0a3 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/openai/langchain_openai/chat_models/azure.py lines 30–31
def _is_pydantic_class(obj: Any) -> bool:
return isinstance(obj, type) and is_basemodel_subclass(obj)
Domain
Subdomains
Source
Frequently Asked Questions
What does _is_pydantic_class() do?
_is_pydantic_class() is a function in the langchain codebase, defined in libs/partners/openai/langchain_openai/chat_models/azure.py.
Where is _is_pydantic_class() defined?
_is_pydantic_class() is defined in libs/partners/openai/langchain_openai/chat_models/azure.py at line 30.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free