Just working on writing some documentation!    AI:  Sounds like a productive day! What kind of documentation are you writing?    Human: For LangChain! Have you heard of it?    AI:        > Finished chain.    " Yes, I have heard of LangChain! It is a decentralized language-learning platform that connects native speakers and learners in real time. Is that the documentation you're writing about?"# We can see here that the buffer is updatedconversation_with_summary.predict(    input="Haha nope, although a lot of people confuse it for that")            > 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: For LangChain! Have you heard of it?    AI:  Yes, I have heard of LangChain! It is a decentralized language-learning platform that connects native speakers and learners in real time. Is that the documentation you're writing about?    Human: Haha nope, although a lot of people confuse it for that    AI:        > Finished chain.    " Oh, I see. Is there another language learning platform you're referring to?"PreviousConversation Summary BufferNextBacked by a Vector StoreUsing memory with LLMUsing in a chainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
ConversationTokenBufferMemory keeps a buffer of recent interactions in memory, and uses token length rather than number of interactions to determine when to flush interactions.
ConversationTokenBufferMemory keeps a buffer of recent interactions in memory, and uses token length rather than number of interactions to determine when to flush interactions. ->: Just working on writing some documentation!    AI:  Sounds like a productive day! What kind of documentation are you writing?    Human: For LangChain! Have you heard of it?    AI:        > Finished chain.    " Yes, I have heard of LangChain! It is a decentralized language-learning platform that connects native speakers and learners in real time. Is that the documentation you're writing about?"# We can see here that the buffer is updatedconversation_with_summary.predict(    input="Haha nope, although a lot of people confuse it for that")            > 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: For LangChain! Have you heard of it?    AI:  Yes, I have heard of LangChain! It is a decentralized language-learning platform that connects native speakers and learners in real time. Is that the documentation you're writing about?    Human: Haha nope, although a lot of people confuse it for that    AI:        > Finished chain.    " Oh, I see. Is there another language learning platform you're referring to?"PreviousConversation Summary BufferNextBacked by a Vector StoreUsing memory with LLMUsing in a chainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.