Multi-Agent Governance with CrewAI | Building an AI Control Plane

Description

Welcome to Chapter 11 of our complete developer tutorial on building an AI Control Plane! Up until now, we have mastered governing a single LangChain agent. But the future of AI is multi-agent systems! What happens when you have a team of autonomous agents working together, passing data back and forth, and making joint decisions? In this episode, we are integrating the eaigins-sdk with CrewAI. Watch as we build a 2-agent Anti-Money Laundering (AML) investigation crew. You will learn how to apply your Control Plane to govern multiple agents simultaneously, and we will tackle the notorious CrewAI "Infinite Loop" problem by implementing a custom "Heal & Wrap" exception pattern to ensure governance blocks don't crash your agent framework! 🎯 What you will learn in this video: The unique challenges of governing multi-agent frameworks like CrewAI. Building a 2-agent AML investigation team (Investigator + SAR Filer). Why CrewAI swallows tool errors and causes RecursionError crashes. Implementing the "Heal & Wrap" pattern to safely pass GovernanceViolationErrors through CrewAI. Tracking audit trails across multiple cooperating agents. 🔗 Resources & Code: eaigins-sdk Documentation: https://pypi.org/project/eaigins-sdk/ Full Playlist: https://www.youtube.com/playlist?list=PLxaIzaix40Ysq2XwyqlUlxJfsy5wB_7g3 If you found this helpful, please Like and Subscribe to follow along with the rest of the enterprise governance series!