How do I pause a LangGraph workflow for human review?

You can pause a workflow by using the `interrupt_before` parameter in the `compile` method to stop at specific nodes, or by calling the `interrupt()` function dynamically inside a node logic.

How do I handle feedback loops where an agent needs to retry after human review?

You can implement a loop pattern where the state stores human feedback, and if the 'approved' flag is false, the graph routes back to the generation node with the feedback incorporated into the prompt.

What is the best practice for resuming a paused LangGraph workflow?

The modern best practice (2026) is using the `Command(resume=value)` pattern, which allows you to pass human decisions or feedback directly back into the graph logic upon resumption.

Can I integrate LangGraph human-in-the-loop with a FastAPI backend?

Yes, this skill provides API integration patterns where an external endpoint captures user feedback, updates the thread state via `update_state`, and triggers resumption.

LangGraph Human-in-the-Loop

Name: LangGraph Human-in-the-Loop
Author: yonatangross

byyonatangross

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生产力与工作流

Implements robust human-in-the-loop patterns for LangGraph to pause workflows for approvals, manual reviews, and user feedback integration.

This skill provides production-ready implementation patterns for integrating human oversight into LangGraph agentic workflows. It covers essential strategies including static interrupt points, dynamic interrupt functions, and state resumption using the modern Command pattern. Designed for developers building high-stakes AI applications, it ensures agents can safely pause for human validation before executing critical actions, gathering feedback for content refinement, or validating user input, all while maintaining consistent state across execution threads.

主要功能

01Static and dynamic workflow interrupt patterns

02Interactive feedback and input validation loops

03State management and thread resumption using Command(resume=)

04API-ready integration patterns for external review systems

05Manual approval gates for high-risk agent actions

0669 GitHub stars

使用场景

01Adding human-in-the-loop review gates for financial or high-risk tool execution

02Creating multi-stage content approval workflows for AI-generated assets

03Supervising complex agentic reasoning steps with manual overrides

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit langgraph-human-in-loop

For use in Claude.ai and ChatGPT

主要功能

01Static and dynamic workflow interrupt patterns

02Interactive feedback and input validation loops

03State management and thread resumption using Command(resume=)

04API-ready integration patterns for external review systems

05Manual approval gates for high-risk agent actions

0669 GitHub stars

使用场景

01Adding human-in-the-loop review gates for financial or high-risk tool execution

02Creating multi-stage content approval workflows for AI-generated assets

03Supervising complex agentic reasoning steps with manual overrides

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit langgraph-human-in-loop

For use in Claude.ai and ChatGPT