Observability & Monitoring for Azure AI Agents Using Application Insights and Log Analytics

Microsoft Foundry Agent Service enables developers to build, deploy, and manage AI agents that can interact with users and other services. To ensure the reliability and performance of these AI agents, it is crucial to implement robust observability and monitoring solutions.

Generative AI Operations (GenAIOps) is a set of practices and tools designed to manage and monitor generative AI models and applications effectively. By leveraging GenAIOps, organizations can ensure that their AI agents operate efficiently, deliver high-quality results, and maintain compliance with regulatory requirements.

Learning objectives

Upon completion of this beginner-level lab, you will be able to:

• Create an AI agent using Microsoft Foundry Agent Service
• Implement observability and monitoring solutions for AI agents
• Utilize Application Insights to track AI agent performance and user interactions
• Set up alerts for AI agent evaluation metrics

Intended audience

• AI Engineers and Developers
• Cloud Architects

Prerequisites

Familiarity with the following will be beneficial but is not required:

• Microsoft Foundry

The following content can be used to fulfill the prerequisites:

• Explore the Components and Tools of the Azure AI Foundry