get_input_schema() — langchain Function Reference

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

Function python AgentOrchestration ClassicChains

Entity Profile

AgentOrchestration→ ClassicChains→ get_input_schema() — langchain Function Reference

Dependency Diagram

graph TD
  2e4fa14a_42fb_475d_66da_dfc545b469e7["get_input_schema()"]
  f3cef70e_11b0_61c9_7ec0_7308f4b45056["Chain"]
  2e4fa14a_42fb_475d_66da_dfc545b469e7 -->|defined in| f3cef70e_11b0_61c9_7ec0_7308f4b45056
  style 2e4fa14a_42fb_475d_66da_dfc545b469e7 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/base.py lines 112–117

    def get_input_schema(
        self,
        config: RunnableConfig | None = None,
    ) -> type[BaseModel]:
        # This is correct, but pydantic typings/mypy don't think so.
        return create_model("ChainInput", **dict.fromkeys(self.input_keys, (Any, None)))