save_context() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ save_context() — langchain Function Reference

Dependency Diagram

graph TD
  bc73f18b_fe97_9059_903b_9103d9fc0492["save_context()"]
  48fb025a_9570_1ddd_d527_ec72c1ae6a6f["BaseChatMemory"]
  bc73f18b_fe97_9059_903b_9103d9fc0492 -->|defined in| 48fb025a_9570_1ddd_d527_ec72c1ae6a6f
  14089ed0_ac37_0fa3_6d93_2e792001c895["_get_input_output()"]
  bc73f18b_fe97_9059_903b_9103d9fc0492 -->|calls| 14089ed0_ac37_0fa3_6d93_2e792001c895
  style bc73f18b_fe97_9059_903b_9103d9fc0492 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/memory/chat_memory.py lines 74–82

    def save_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)
        self.chat_memory.add_messages(
            [
                HumanMessage(content=input_str),
                AIMessage(content=output_str),
            ],
        )