• AI
• Tutorials
• AUTHOR: codevision AI engine
• DZone AI/ML

Scarlett Attensil’s article demonstrates how to build a LangGraph multi-agent system in under 20 minutes using LaunchDarkly AI Configs. The guide explains how to set up the system, test it with various queries, and explore features like model switching and tool adjustments. It also highlights the benefits of real-time updates and dynamic configuration without code changes. This tutorial is worth reading because it provides a hands-on approach to implementing advanced AI workflows. Readers will learn how to create and manage a multi-agent system that integrates RAG search, privacy protection, and runtime control.

Key facts

• The article provides a step-by-step guide to building a LangGraph multi-agent system using LaunchDarkly AI Configs.
• It outlines how to test the system with queries related to reinforcement learning, PII detection, and workflow details.
• The tutorial explains how to switch models instantly and adjust tool usage limits within the system.
• Readers can modify agent behavior to suit specific tasks, such as transforming a support agent into a research specialist.
• All changes take effect immediately without requiring deployment or restart, offering real-time updates.