Скачать или смотреть Master LangChain #16 | LangChain ConversationSummaryMemory

#langchain #aidevelopment #generativeai #machinelearning #llm #python #openai #azureopenai #langgraph #artificialintelligence #chatgpt #memory #shorttermmemory #longtermmemory #LangChainMemory #ConversationsummaryMemory


Master *ConversationSummaryMemory* in LangChain — the memory type that keeps a *running summary* of your chat instead of the full history. 🚀

In this step-by-step tutorial, you’ll learn:

✅ What is `ConversationSummaryMemory` and how it works
✅ Key features: summary tracking, async APIs, customizable prompt & prefixes
✅ Full *Python example with Azure OpenAI* integration
✅ How to load, save, and clear memory (sync & async)
✅ Inspecting the summarized history vs full conversation
✅ Pros & cons — when to use it, when not to
✅ Limitations: token overhead, possible detail loss, *deprecation warning*
✅ Migration tips to *LangGraph memory* and advanced summarization methods

By the end of this tutorial, you’ll understand how to use *ConversationSummaryMemory* to handle *long conversations efficiently* while staying within token limits.

👉 Perfect for anyone building *AI chatbots, assistants, and enterprise LLM apps* that need context retention without blowing up memory size.

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