会话缓存内存 ConversationBufferMemory

本文档演示了如何使用 ConversationBufferMemory。该内存允许存储消息，并将消息提取到一个变量中。

我们可以首先将其提取为字符串。

from langchain.memory import ConversationBufferMemory

memory = ConversationBufferMemory()
memory.save_context({"input": "hi"}, {"output": "whats up"})

memory.load_memory_variables({})

    {'history': 'Human: hi\nAI: whats up'}

我们还可以将历史记录作为消息列表获取（如果您正在将其与聊天模型一起使用，则这非常有用）。

memory = ConversationBufferMemory(return_messages=True)
memory.save_context({"input": "hi"}, {"output": "whats up"})

memory.load_memory_variables({})

    {'history': [HumanMessage(content='hi', additional_kwargs={}),
      AIMessage(content='whats up', additional_kwargs={})]}

在链中使用

最后，让我们来看看如何在链中使用它（设置 verbose=True，以便我们可以看到提示）。

from langchain.llms import OpenAI
from langchain.chains import ConversationChain


llm = OpenAI(temperature=0)
conversation = ConversationChain(
    llm=llm, 
    verbose=True, 
    memory=ConversationBufferMemory()
)

conversation.predict(input="Hi there!")

    
    
    > Entering new ConversationChain chain...
    Prompt after formatting:
    The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.
    
    Current conversation:
    
    Human: Hi there!
    AI:
    
    > Finished chain.





    " Hi there! It's nice to meet you. How can I help you today?"

conversation.predict(input="I'm doing well! Just having a conversation with an AI.")

    
    
    > Entering new ConversationChain chain...
    Prompt after formatting:
    The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.
    
    Current conversation:
    Human: Hi there!
    AI:  Hi there! It's nice to meet you. How can I help you today?
    Human: I'm doing well! Just having a conversation with an AI.
    AI:
    
    > Finished chain.





    " That's great! It's always nice to have a conversation with someone new. What would you like to talk about?"

conversation.predict(input="Tell me about yourself.")

    
    
    > Entering new ConversationChain chain...
    Prompt after formatting:
    The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.
    
    Current conversation:
    Human: Hi there!
    AI:  Hi there! It's nice to meet you. How can I help you today?
    Human: I'm doing well! Just having a conversation with an AI.
    AI:  That's great! It's always nice to have a conversation with someone new. What would you like to talk about?
    Human: Tell me about yourself.
    AI:
    
    > Finished chain.





    " Sure! I'm an AI created to help people with their everyday tasks. I'm programmed to understand natural language and provide helpful information. I'm also constantly learning and updating my knowledge base so I can provide more accurate and helpful answers."

这就是入门的全部内容！有很多不同类型的记忆，请查看我们的示例以查看所有类型。