get_input_jsonschema() — langchain Function Reference

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

Function python LangChainCore Runnables calls 1

Entity Profile

LangChainCore→ Runnables→ get_input_jsonschema() — langchain Function Reference

Dependency Diagram

graph TD
  bb994673_65a8_b98b_ca59_66e1a04c78a4["get_input_jsonschema()"]
  4a62481c_02cb_a5de_1833_50669d5351a6["Runnable"]
  bb994673_65a8_b98b_ca59_66e1a04c78a4 -->|defined in| 4a62481c_02cb_a5de_1833_50669d5351a6
  08435009_1486_e4f9_5312_91db7c8545a0["get_input_schema()"]
  bb994673_65a8_b98b_ca59_66e1a04c78a4 -->|calls| 08435009_1486_e4f9_5312_91db7c8545a0
  style bb994673_65a8_b98b_ca59_66e1a04c78a4 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/runnables/base.py lines 411–439

    def get_input_jsonschema(
        self, config: RunnableConfig | None = None
    ) -> dict[str, Any]:
        """Get a JSON schema that represents the input to the `Runnable`.

        Args:
            config: A config to use when generating the schema.

        Returns:
            A JSON schema that represents the input to the `Runnable`.

        Example:
            ```python
            from langchain_core.runnables import RunnableLambda


            def add_one(x: int) -> int:
                return x + 1


            runnable = RunnableLambda(add_one)

            print(runnable.get_input_jsonschema())
            ```

        !!! version-added "Added in `langchain-core` 0.3.0"

        """
        return self.get_input_schema(config).model_json_schema()