get_input_schema() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ get_input_schema() — langchain Function Reference

Dependency Diagram

graph TD
  d418c33a_f24b_8b71_a582_4f71d916cb0f["get_input_schema()"]
  f9cb8198_4568_d401_f003_82c579cfa18f["RunnableWithMessageHistory"]
  d418c33a_f24b_8b71_a582_4f71d916cb0f -->|defined in| f9cb8198_4568_d401_f003_82c579cfa18f
  style d418c33a_f24b_8b71_a582_4f71d916cb0f fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/runnables/history.py lines 384–403

    def get_input_schema(self, config: RunnableConfig | None = None) -> type[BaseModel]:
        fields: dict = {}
        if self.input_messages_key and self.history_messages_key:
            fields[self.input_messages_key] = (
                str | BaseMessage | Sequence[BaseMessage],
                ...,
            )
        elif self.input_messages_key:
            fields[self.input_messages_key] = (Sequence[BaseMessage], ...)
        else:
            return create_model_v2(
                "RunnableWithChatHistoryInput",
                module_name=self.__class__.__module__,
                root=(Sequence[BaseMessage], ...),
            )
        return create_model_v2(
            "RunnableWithChatHistoryInput",
            field_definitions=fields,
            module_name=self.__class__.__module__,
        )