langgraph-human-in-the-loop

Pause LangGraph state graphs with interrupt() and resume via Command(resume=...).

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/HyunjunJeon/SDS-AX-Advanced-2026-1 --skill langgraph-human-in-the-loop-hyunjunjeon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langgraph-human-in-the-loop
Source: https://github.com/HyunjunJeon/SDS-AX-Advanced-2026-1/tree/main/Day-01/.agents/skills/langgraph-human-in-the-loop
Command: npx skills add https://github.com/HyunjunJeon/SDS-AX-Advanced-2026-1 --skill langgraph-human-in-the-loop-hyunjunjeon

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LangGraph's human-in-the-loop skill enables pausing execution to surface data for human input and resuming with a controlled Command, facilitating approval workflows and error handling within LangGraph graphs.

Core Features & Use Cases

  • Interrupt() to pause, surface data, and await user input.
  • Command(resume=...) to resume execution with a value back to the interrupt.
  • Checkpointer integration and thread_id management for deterministic resume across runs.

Quick Start

Pause a running LangGraph graph for human approval and resume it with Command(resume=...).

Frequently Asked Questions about langgraph-human-in-the-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I pause a LangGraph workflow for human approval?

You pause a LangGraph workflow for human approval by calling the interrupt() function within your state graph, which halts execution and surfaces data to await user input before resuming.

How does Command(resume=...) work when resuming LangGraph execution?

Command(resume=...) works in LangGraph by injecting a specified value back into the paused interrupt node, allowing the state graph to continue execution deterministically with the human-provided input.

Do I need a checkpointer to implement human-in-the-loop in LangGraph?

Yes, you need a checkpointer to implement human-in-the-loop in LangGraph, as it persists graph state across runs and requires a stable thread_id passed in each call to ensure safe and resumable executions.

What are the payload requirements for LangGraph interrupt and resume operations?

LangGraph interrupt and resume operations require JSON-serializable payloads to ensure safe and resumable executions across multi-step approval workflows within both simple and complex state graphs.

Can I build multi-step approval workflows using LangGraph interrupt and checkpointer?

Yes, you can build multi-step approval workflows using LangGraph interrupt and checkpointer by pausing via interrupt(), resuming with Command(resume=...), and managing thread_id for deterministic state tracking across complex graphs.