langgraph-human-in-the-loop

Implement human-in-the-loop approval workflows in LangGraph with interrupt and Command.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/orezek/paradegolf --skill langgraph-human-in-the-loop-orezek
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langgraph-human-in-the-loop
Source: https://github.com/orezek/paradegolf/tree/main/.agents/skills/langgraph-human-in-the-loop
Command: npx skills add https://github.com/orezek/paradegolf --skill langgraph-human-in-the-loop-orezek

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The langgraph-human-in-the-loop Skill addresses the challenge of implementing human-in-the-loop patterns in LangGraph, enabling users to pause graph execution for approval or error handling, and then resume with human input.

Core Features & Use Cases

  • Pause Execution: Temporarily halt graph execution to review intermediate results.
  • Approval Workflows: Use interrupt and Command to implement approval/validation workflows.
  • Error Handling: Implement a 4-tier error handling strategy for robustness.
  • Multiple Interrupts: Support for multiple parallel interruptions and their simultaneous resumption.
  • Idempotency Rules: Ensures that side effects are idempotent, preventing duplicates on resumption.
  • Use Case: When processing complex analyses, this Skill allows human experts to review intermediate steps and provide necessary input to ensure accuracy.

Quick Start

To implement a human-in-the-loop approval step, use the langgraph-human-in-the-loop Skill to pause the execution at a critical point, prompt for approval with interrupt(), and then resume execution with Command(resume=...) based on the human's response.

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 LangGraph execution for human approval?

LangGraph human-in-the-loop workflows use `interrupt()` to pause graph execution at critical nodes, allowing human experts to review intermediate results and provide approval input before resuming with `Command(resume=...)`.

What is the best way to handle errors during LangGraph human-in-the-loop workflows?

The best way to handle errors in LangGraph human-in-the-loop workflows is implementing a 4-tier error handling strategy, which ensures robustness when pausing, resuming, or validating graph operations with human input.

Can I trigger multiple parallel interrupts in a LangGraph execution?

Yes, LangGraph execution supports multiple parallel interruptions, allowing you to pause several graph branches simultaneously for human validation and then resume them simultaneously with the provided human input.

Do I need checkpointing mechanisms to implement approval workflows in LangGraph?

Yes, LangGraph checkpointing mechanisms are required to implement human-in-the-loop approval workflows, as they manage the execution state needed to pause and resume graph operations with human input.

How do I prevent duplicate side effects when resuming LangGraph operations?

To prevent duplicate side effects when resuming LangGraph operations after an interrupt, you must enforce idempotency rules within your graph nodes, ensuring that resuming execution does not re-trigger previously completed actions.