This blog post is part of the Agentic Azure Insights community initiative created by Nicholas Chang . Take a look at other sessions that are part of the event.

Building, tracing, monitoring, and troubleshooting intelligent multi-agent applications with Python, Microsoft Foundry, and Azure.

Introduction

Building an AI agent that responds to a prompt is relatively straightforward. Building a production-ready multi-agent application is a completely different challenge.

As AI systems evolve from individual agents into collaborative architectures, understanding their behavior becomes increasingly difficult.

Imagine an application where several specialized AI agents collaborate to solve a customer support request. One agent retrieves customer information, another evaluates business policies, and a third generates the final resolution.

What happens when the application becomes slow? How do we identify which agent caused the delay?…