aafter_model() — langchain Function Reference

Architecture documentation for the aafter_model() function in openai_moderation.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ aafter_model() — langchain Function Reference

Dependency Diagram

graph TD
  fa7fdc65_cf99_5db0_1932_68c75c40b726["aafter_model()"]
  48713c67_3a9a_ec9e_ec74_46e6955f07bd["OpenAIModerationMiddleware"]
  fa7fdc65_cf99_5db0_1932_68c75c40b726 -->|defined in| 48713c67_3a9a_ec9e_ec74_46e6955f07bd
  7ab5affa_5898_4089_2b48_c4caa16d99a2["_amoderate_output()"]
  fa7fdc65_cf99_5db0_1932_68c75c40b726 -->|calls| 7ab5affa_5898_4089_2b48_c4caa16d99a2
  style fa7fdc65_cf99_5db0_1932_68c75c40b726 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/langchain_openai/middleware/openai_moderation.py lines 157–176

    async def aafter_model(
        self, state: AgentState[Any], runtime: Runtime[Any]
    ) -> dict[str, Any] | None:  # type: ignore[override]
        """Async version of after_model.

        Args:
            state: Current agent state containing messages.
            runtime: Agent runtime context.

        Returns:
            Updated state with moderated messages, or `None` if no changes.
        """
        if not self.check_output:
            return None

        messages = list(state.get("messages", []))
        if not messages:
            return None

        return await self._amoderate_output(messages)