bind_tools() — langchain Function Reference

Architecture documentation for the bind_tools() function in base.py from the langchain codebase.

Function python LangChainCore LanguageModelBase called by 1

Entity Profile

LangChainCore→ LanguageModelBase→ bind_tools() — langchain Function Reference

Dependency Diagram

graph TD
  761a6f93_f04d_dbb7_3506_602f2cb6b991["bind_tools()"]
  74f697e6_2555_becc_640e_6f41ea707eba["_ConfigurableModel"]
  761a6f93_f04d_dbb7_3506_602f2cb6b991 -->|defined in| 74f697e6_2555_becc_640e_6f41ea707eba
  7cab4903_51a5_8e53_ef85_cfac6cf6fbd1["init_chat_model()"]
  7cab4903_51a5_8e53_ef85_cfac6cf6fbd1 -->|calls| 761a6f93_f04d_dbb7_3506_602f2cb6b991
  style 761a6f93_f04d_dbb7_3506_602f2cb6b991 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/langchain/chat_models/base.py lines 981–986

    def bind_tools(
        self,
        tools: Sequence[dict[str, Any] | type[BaseModel] | Callable[..., Any] | BaseTool],
        **kwargs: Any,
    ) -> Runnable[LanguageModelInput, AIMessage]:
        return self.__getattr__("bind_tools")(tools, **kwargs)