langgraph

Design graph-based agent workflows by defining explicit state contracts for nodes and edges to enforce deterministic routing. You establish a root state and minimal graph to begin testing conditional branching across complex topologies.

Handling interrupts in a state machine workflow requires robust interrupt handling with persistent checkpoints. This mechanism pauses graph execution, captures the current state, and ensures deterministic routing resumes accurately after the interrupt resolves.

Human-in-the-loop integrates with graph checkpoints by pausing execution at specific nodes to allow human intervention. Persistent checkpoints save the state machine's current state, enabling deterministic routing to resume once the human input is validated.

Explicit state contracts are needed for agent graph design to enforce deterministic routing and prevent unexpected data mutations. They define exact node inputs and outputs, ensuring robust interrupt handling and reliable checkpointing across the workflow.

Debug common graph topologies in LangGraph by utilizing debugging playbooks and patterns tailored for state-machine workflows. These patterns help identify routing failures, validate explicit state contracts, and trace checkpoint errors across branches.