









Hi everyone, I am building a chatbot using LangGraph with PostgreSQL as the checkpointer and storage layer. Current setup: Using LangGraph agent with tools and memory PostgreSQL to store chat history (messages table) UI displays chat conversations similar to ChatGPT Problem: I am facing confusion around handling long conversations and summarization. My requirements: UI should display the full chat history (like ChatGPT sidebar/chat window) For LLM context, I want to send: summarized ol...
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。