langgraph-fundamentals

Conditional routing in LangGraph is implemented using conditional edges within the StateGraph. You define edge types and routing logic to direct workflow execution between nodes based on current state, enabling dynamic agent workflow orchestration.

Conditional routing in LangGraph is implemented using conditional edges within the StateGraph. You define edge types and routing logic to direct workflow execution between nodes based on current state, enabling dynamic agent workflow orchestration.

Yes, LangGraph supports error handling strategies and streaming incremental state updates in both Python and TypeScript. You can model complex agent workflows using Send and Command patterns to manage runtime execution and error recovery.

LangGraph node signatures and Send patterns are used to model complex agent workflows. They define how data flows between stateful nodes, allowing you to orchestrate directed graphs with precise control over state management and command execution.

You need to compile a LangGraph before invocation to validate orchestration and prepare the runtime. Graph compilation transforms your StateGraph definition with nodes and edges into an executable runtime object that can process stateful workflow invocations.