langchain.memory.buffer_window — 🦜🔗 LangChain 0.2.0

from typing import Any, Dict, List, Union

from langchain_core.messages import BaseMessage, get_buffer_string

from langchain.memory.chat_memory import BaseChatMemory


[docs]class ConversationBufferWindowMemory(BaseChatMemory):
    """在有限大小窗口内存储对话记忆的缓冲区。"""

    human_prefix: str = "Human"
    ai_prefix: str = "AI"
    memory_key: str = "history"  #: :meta private:
    k: int = 5
    """要存储在缓冲区中的消息数量。"""

    @property
    def buffer(self) -> Union[str, List[BaseMessage]]:
        """内存中的字符串缓冲区。"""
        return self.buffer_as_messages if self.return_messages else self.buffer_as_str

    @property
    def buffer_as_str(self) -> str:
        """在`return_messages`为False时，将缓冲区暴露为字符串。"""
        messages = self.chat_memory.messages[-self.k * 2 :] if self.k > 0 else []
        return get_buffer_string(
            messages,
            human_prefix=self.human_prefix,
            ai_prefix=self.ai_prefix,
        )

    @property
    def buffer_as_messages(self) -> List[BaseMessage]:
        """如果 return_messages 为 True，则将缓冲区暴露为消息列表。"""
        return self.chat_memory.messages[-self.k * 2 :] if self.k > 0 else []

    @property
    def memory_variables(self) -> List[str]:
        """将始终返回内存变量列表。

:元数据 私有:
"""
        return [self.memory_key]

[docs]    def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
        """返回历史缓冲区。"""
        return {self.memory_key: self.buffer}
Source code for langchain.memory.buffer_window
