langgraph-human-in-the-loop

Manage human-in-the-loop interactions in LangGraph workflows with interrupt() and Command(resume=...).

63|14|Updated Jun 6, 2026
One-click install
npx skills add https://github.com/HsienW/chat-gun-react-agent --skill langgraph-human-in-the-loop-hsienw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langgraph-human-in-the-loop
Source: https://github.com/HsienW/chat-gun-react-agent/tree/main/.agents/skills/langgraph-human-in-the-loop
Command: npx skills add https://github.com/HsienW/chat-gun-react-agent --skill langgraph-human-in-the-loop-hsienw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The langgraph-human-in-the-loop Skill simplifies the management and oversight of LangGraph workflows, allowing for manual review and validation at critical points.

Core Features & Use Cases

  • Human-in-the-Loop Pattern: Pause and resume graph execution based on human input or decisions.
  • Error Handling: Implement a 4-tier error handling strategy to handle and resolve errors within the workflow.
  • Use Case: For example, during a complex analysis process, the Skill can pause the workflow to review data before proceeding, ensuring accuracy and quality.

Quick Start

To implement human-in-the-loop in your LangGraph workflow, use the Skill to pause the current execution at a defined point and request input from a user or reviewer.

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 before proceeding?

To pause a LangGraph workflow for human approval, use the interrupt() pattern to halt execution at a defined node, request manual review, and then resume the graph using Command(resume=...) with the reviewer's input.

What is the human-in-the-loop pattern in LangGraph workflow management?

The human-in-the-loop pattern in LangGraph workflow management allows manual intervention during automated execution, enabling reviewers to pause workflows, validate data accuracy at critical points, and resolve errors before resuming graph processing.

How do I handle errors during a LangGraph human-in-the-loop process?

To handle errors during a LangGraph human-in-the-loop process, implement the 4-tier error handling strategy to catch, manage, and resolve exceptions within the workflow, allowing manual corrections before resuming execution.

Do I need to know specific patterns to use human-in-the-loop in LangGraph?

Yes, implementing human-in-the-loop interactions in LangGraph requires advanced knowledge of specific interrupt() and Command(resume=...) patterns to properly manage execution pauses and manual data inputs.

When should I use interrupt and resume patterns in LangGraph workflows?

Use interrupt and resume patterns in LangGraph workflows during complex analysis processes where pausing to review data before proceeding ensures accuracy, or when manual intervention is required to validate critical decisions and resolve errors.