LangGraph – Overview pip install -U langgraph from langgraph.graph import StateGraph, MessagesState, START, END def mock_llm(state:MessagesState): return("messages":[{"role":"ai", "content":"Hello World"}]) graph = StateGraph(MessagesState) graph.add_node("mock_llm", mock_llm) grapg.add_edge(START, "mock_llm") graph.add_edge("mock_llm", END) workflow = graph.compile() workflow.invoke({"messages":[{"role":"user", "content":"Hi"}]})

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Lang Graph Syllabus (1) Lang Graph Overview (2) Get Started Installation Quickstart Local Servers Changelog Thinking In LangGraph Workflows + Agents (3) Capabilities Persistence Checkpointers Stores Fault Tolerance Event Streaming Streaming Interrupts Time Travell Memory Subgraphs (4) Production Application Structure Test Backward Compatibility  LangSmith Studio Agent Chat UI Deployment LangSmith Observability (5) Frontend Overview Graph Execution Custom Stream Channels (6) LangGraph APIs Graph API Functional API Studio

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