Langgraph: Framework Documentation Relevant source

LangGraph Framework Documentation Relevant source files Purpose and Scope This document describes the LangGraph framework documentation content within the LangChain ecosystem docs. LangGraph is documented as a low-level orchestration framework and runtime for building stateful, long-running agents. The documentation covers core graph abstractions (StateGraph, nodes, edges), persistence mechanisms, human-in-the-loop patterns, streaming capabilities, and common workflow patterns. For high ... LangGraph ’s ecosystem While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with: LangSmith — Helpful for agent evals and observability. LangGraph is a Python library that lets you build complex workflows with state graphs, conditional edges, and cycles for LLM applications. Learn how to use LangGraph to create a state graph agent that can parse and respond to emails using OpenAI LLMs. LangGraph is the open-source framework for building stateful, orchestrated agent workflows. LangSmith Deployment is the managed service for running those agents at scale in production.