LangGraph coordinates specialized agents in stateful workflows. Shared context, explicit routing, and handoffs let separate capabilities contribute to one response instead of relying on a single model to handle everything. section 8.0 section 8.1.2
A LangGraph workflow is built from:
- State, a shared structure that agents can read and update. section 8.1.2
- Nodes, which represent agents or processing steps, connected by edges that define the workflow. section 8.1.2
- Conditional edges, which route dynamically based on state or agent outputs; the framework also supports cycles, error handling, and observability. section 8.1.2
A customer’s multipart request
A customer asks whether boots like those in a photo are available in waterproof form, then asks about returns. A coordinated workflow can route the image to vision, the product question to search, and the policy question to a knowledge base before combining the results. section 8.0
LangGraph favors explicit workflow design: defining states, nodes, edges, and routing takes more code, but gives precise control over decision points. section 8.3.1
