_call_async() — langchain Function Reference

Architecture documentation for the _call_async() function in llms.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ _call_async() — langchain Function Reference

Dependency Diagram

graph TD
  667f2693_fe60_ba54_4f98_db95101471d4["_call_async()"]
  ce4aa464_3868_179e_5d99_df48bc307c5f["BaseLLM"]
  667f2693_fe60_ba54_4f98_db95101471d4 -->|defined in| ce4aa464_3868_179e_5d99_df48bc307c5f
  99297396_752a_7590_6d2b_c4757fc5a9d8["agenerate()"]
  667f2693_fe60_ba54_4f98_db95101471d4 -->|calls| 99297396_752a_7590_6d2b_c4757fc5a9d8
  style 667f2693_fe60_ba54_4f98_db95101471d4 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/language_models/llms.py lines 1329–1348

    async def _call_async(
        self,
        prompt: str,
        stop: list[str] | None = None,
        callbacks: Callbacks = None,
        *,
        tags: list[str] | None = None,
        metadata: dict[str, Any] | None = None,
        **kwargs: Any,
    ) -> str:
        """Check Cache and run the LLM on the given prompt and input."""
        result = await self.agenerate(
            [prompt],
            stop=stop,
            callbacks=callbacks,
            tags=tags,
            metadata=metadata,
            **kwargs,
        )
        return result.generations[0][0].text