In this blog you will learn how to deploy your first Azure AI Agent Service on Azure App Service, following a complete end-to-end process that begins with setting up an AI Hub in Azure AI Foundry, deploying a GPT-4o model, and creating your AI agent with specific instructions and tools. You'll then develop a conversational interface using the Chainlit Python package that communicates with your agent through Azure AI Foundry SDK, before moving on to the critical deployment phase where you'll create a Python-based App Service, enable system-assigned managed identity with proper IAM roles, and finally deploy your application using External Git—all without needing to manage underlying infrastructure.
1. Introduction
Azure AI Agent Service is a fully managed service designed to empower developers to securely build, deploy, and scale high-quality, extensible AI agents without needing to manage th...
Updated Apr 21, 2025
Version 2.0
robertrita
Microsoft
Microsoft
