asave_context() — langchain Function Reference

Architecture documentation for the asave_context() function in chat_memory.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ asave_context() — langchain Function Reference

Dependency Diagram

graph TD
  ef8b300b_59ad_92fa_9e4b_3572f54c5811["asave_context()"]
  48fb025a_9570_1ddd_d527_ec72c1ae6a6f["BaseChatMemory"]
  ef8b300b_59ad_92fa_9e4b_3572f54c5811 -->|defined in| 48fb025a_9570_1ddd_d527_ec72c1ae6a6f
  14089ed0_ac37_0fa3_6d93_2e792001c895["_get_input_output()"]
  ef8b300b_59ad_92fa_9e4b_3572f54c5811 -->|calls| 14089ed0_ac37_0fa3_6d93_2e792001c895
  style ef8b300b_59ad_92fa_9e4b_3572f54c5811 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/memory/chat_memory.py lines 84–96

    async def asave_context(
        self,
        inputs: dict[str, Any],
        outputs: dict[str, str],
    ) -> None:
        """Save context from this conversation to buffer."""
        input_str, output_str = self._get_input_output(inputs, outputs)
        await self.chat_memory.aadd_messages(
            [
                HumanMessage(content=input_str),
                AIMessage(content=output_str),
            ],
        )