langgraph-human-in-the-loop

To add human approval to a LangGraph agent workflow, you pause graph execution using the `interrupt()` function at critical junctures, allowing human oversight before the agent proceeds with its planned action.

State persistence during user validation pauses is handled through checkpointer integration, which saves interruptible states so the workflow can securely halt and later resume from the exact point of interruption.

Yes, you can resume a paused LangGraph workflow with specific user-provided data by invoking `Command(resume=...)`, which passes the validated input or decision directly back into the agent execution graph.

Managing multiple parallel interrupts within a single invocation involves handling concurrent interruptible states simultaneously, ensuring each paused branch awaits its respective human input before resuming the overall agent workflow.

Implement human-in-the-loop patterns in automated AI workflows when scenarios require explicit user approval, strict data validation loops, or controlled error handling at critical junctures to ensure safe agentic decision-making.

No, this human-in-the-loop workflow skill requires no external dependencies to handle interrupts, providing built-in support for pausing execution, command-based resumption, and checkpointer integration natively.