py311-langgraph

LangGraph: Building stateful, multi-actor applications with LLMs

LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. Core benefits of LangGraph include: - Durable execution: Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off. - Human-in-the-loop: Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution. - Comprehensive memory: Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions. - Debugging with LangSmith: Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics. - Production-ready deployment: Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.