save_context() — langchain Function Reference

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

Function python LangChainCore Runnables calls 1

Entity Profile

LangChainCore→ Runnables→ save_context() — langchain Function Reference

Dependency Diagram

graph TD
  a3263faf_0e13_7f5d_2353_c3f26cefc183["save_context()"]
  896d889a_d228_6c16_6cdd_5799f6e5f307["ConversationSummaryMemory"]
  a3263faf_0e13_7f5d_2353_c3f26cefc183 -->|defined in| 896d889a_d228_6c16_6cdd_5799f6e5f307
  440abe33_20df_ee02_d771_d5bb5d39241f["predict_new_summary()"]
  a3263faf_0e13_7f5d_2353_c3f26cefc183 -->|calls| 440abe33_20df_ee02_d771_d5bb5d39241f
  style a3263faf_0e13_7f5d_2353_c3f26cefc183 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/memory/summary.py lines 157–163

    def save_context(self, inputs: dict[str, Any], outputs: dict[str, str]) -> None:
        """Save context from this conversation to buffer."""
        super().save_context(inputs, outputs)
        self.buffer = self.predict_new_summary(
            self.chat_memory.messages[-2:],
            self.buffer,
        )