aload_memory_variables() — langchain Function Reference

Architecture documentation for the aload_memory_variables() function in summary_buffer.py from the langchain codebase.

Function python LangChainCore Runnables called by 1

Entity Profile

LangChainCore→ Runnables→ aload_memory_variables() — langchain Function Reference

Dependency Diagram

graph TD
  10c4371c_db0c_5181_61bf_09aedcca2b15["aload_memory_variables()"]
  f7800961_f1f1_7fa8_1fe5_64c9aba0b253["ConversationSummaryBufferMemory"]
  10c4371c_db0c_5181_61bf_09aedcca2b15 -->|defined in| f7800961_f1f1_7fa8_1fe5_64c9aba0b253
  a854b30d_1538_6542_a3e9_b289c046450c["abuffer()"]
  a854b30d_1538_6542_a3e9_b289c046450c -->|calls| 10c4371c_db0c_5181_61bf_09aedcca2b15
  style 10c4371c_db0c_5181_61bf_09aedcca2b15 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/memory/summary_buffer.py lines 67–83

    async def aload_memory_variables(self, inputs: dict[str, Any]) -> dict[str, Any]:
        """Asynchronously return key-value pairs given the text input to the chain."""
        buffer = await self.chat_memory.aget_messages()
        if self.moving_summary_buffer != "":
            first_messages: list[BaseMessage] = [
                self.summary_message_cls(content=self.moving_summary_buffer),
            ]
            buffer = first_messages + buffer
        if self.return_messages:
            final_buffer: Any = buffer
        else:
            final_buffer = get_buffer_string(
                buffer,
                human_prefix=self.human_prefix,
                ai_prefix=self.ai_prefix,
            )
        return {self.memory_key: final_buffer}