
Human-in-the-Loop (HITL) with LangGraph: A Practical Guide to Interactive Agentic Workflows
Last Updated on August 29, 2025 by Editorial Team
Author(s): Sai Bhargav Rallapalli
Originally published on Towards AI.
Introduction
In the rapidly evolving landscape of AI agents and autonomous systems, human-in-the-loop (HITL) workflows are becoming increasingly crucial. They bring the perfect balance between automation and human oversight, enabling safer, smarter, and more adaptable AI solutions.
This article delves into the concept of human-in-the-loop (HITL) in the context of LangGraph, emphasizing its importance in modern workflows. It covers the functionalities that HITL offers, such as real-time intervention and debugging, and explains how to effectively implement HITL using LangGraph’s features. Drawing on practical examples and analogies, the article outlines the critical role of human oversight in automated processes, demonstrating how this approach enhances safety, efficiency, and decision-making flexibility.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI