langgraph-fundamentals

You can build stateful agentic workflows by defining a StateGraph with nodes for discrete steps and wiring them with static or conditional edges to control execution flow and maintain state.

Yes, you can implement conditional routing using Command for combined state updates and navigation, while Send enables parallel task execution for dynamic, complex agent orchestration.

State management in a multi-turn agent works by defining graph state and updating it with reducers for accumulation, ensuring conversation history and context persist across branching and looping logic.

The best way to handle errors and stream agent execution flow is by using the invoke and streaming capabilities provided by the StateGraph structure for fine-grained control over the orchestration process.

You need LangGraph when your agentic workflows require complex orchestration involving dynamic branching based on user intent, looping logic, external tool calls, and strict state management.

You should not use a StateGraph for agent orchestration if your workflow is strictly linear with no conditional routing, branching, or dynamic state updates requiring fine-grained execution control.