load_memory_variables() — langchain Function Reference

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

Function python LangChainCore ApiManagement called by 1

Entity Profile

LangChainCore→ ApiManagement→ load_memory_variables() — langchain Function Reference

Dependency Diagram

graph TD
  8a3e60da_3668_865f_fe8a_7478e32887da["load_memory_variables()"]
  f7800961_f1f1_7fa8_1fe5_64c9aba0b253["ConversationSummaryBufferMemory"]
  8a3e60da_3668_865f_fe8a_7478e32887da -->|defined in| f7800961_f1f1_7fa8_1fe5_64c9aba0b253
  a699225e_2c8c_b6a9_b2d6_c50b16352811["buffer()"]
  a699225e_2c8c_b6a9_b2d6_c50b16352811 -->|calls| 8a3e60da_3668_865f_fe8a_7478e32887da
  style 8a3e60da_3668_865f_fe8a_7478e32887da fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/memory/summary_buffer.py lines 48–64

    def load_memory_variables(self, inputs: dict[str, Any]) -> dict[str, Any]:
        """Return history buffer."""
        buffer = self.chat_memory.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}