abatch() — langchain Function Reference

Architecture documentation for the abatch() function in fake_chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ abatch() — langchain Function Reference

Dependency Diagram

graph TD
  5fbd9625_ffe6_4858_7bd6_3413130cb597["abatch()"]
  2790c9e0_a72e_5aac_c2c7_6702139c50e3["FakeListChatModel"]
  5fbd9625_ffe6_4858_7bd6_3413130cb597 -->|defined in| 2790c9e0_a72e_5aac_c2c7_6702139c50e3
  style 5fbd9625_ffe6_4858_7bd6_3413130cb597 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/language_models/fake_chat_models.py lines 174–189

    async def abatch(
        self,
        inputs: list[Any],
        config: RunnableConfig | list[RunnableConfig] | None = None,
        *,
        return_exceptions: bool = False,
        **kwargs: Any,
    ) -> list[AIMessage]:
        if isinstance(config, list):
            # do Not use an async iterator here because need explicit ordering
            return [
                await self.ainvoke(m, c, **kwargs)
                for m, c in zip(inputs, config, strict=False)
            ]
        # do Not use an async iterator here because need explicit ordering
        return [await self.ainvoke(m, config, **kwargs) for m in inputs]