to_model_kwargs() — langchain Function Reference

Architecture documentation for the to_model_kwargs() function in structured_output.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ to_model_kwargs() — langchain Function Reference

Dependency Diagram

graph TD
  0d29750e_a10c_2bb6_92ee_0217de4e6087["to_model_kwargs()"]
  6e90be30_70b3_e6e9_2090_a66fcbf5f221["ProviderStrategy"]
  0d29750e_a10c_2bb6_92ee_0217de4e6087 -->|defined in| 6e90be30_70b3_e6e9_2090_a66fcbf5f221
  style 0d29750e_a10c_2bb6_92ee_0217de4e6087 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/langchain/agents/structured_output.py lines 285–304

    def to_model_kwargs(self) -> dict[str, Any]:
        """Convert to kwargs to bind to a model to force structured output.

        Returns:
            The kwargs to bind to a model.
        """
        # OpenAI:
        # - see https://platform.openai.com/docs/guides/structured-outputs
        json_schema: dict[str, Any] = {
            "name": self.schema_spec.name,
            "schema": self.schema_spec.json_schema,
        }
        if self.schema_spec.strict:
            json_schema["strict"] = True

        response_format: dict[str, Any] = {
            "type": "json_schema",
            "json_schema": json_schema,
        }
        return {"response_format": response_format}