Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: [email protected]
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-FranΓ§ois Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Take our 85+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Publication

Human-in-the-Loop (HITL) with LangGraph: A Practical Guide to Interactive Agentic Workflows
Latest   Machine Learning

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.

Human-in-the-Loop (HITL) with LangGraph: A Practical Guide to Interactive Agentic Workflows

image from langchain documentation

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

Feedback ↓