Build an AI Agent in VS Code with AI Toolkit and Azure AI Foundry

In this theater session from Product Manager Leo Yao, he shows how to connect models, evaluate performance, create intelligent agents, and integrate tools using MCP servers all from inside your editor using the AI Toolkit as well as Azure AI Foundry extensions for Visual Studio Code AI Tools extension pack: https://aka.ms/AIToolsPack https://code.visualstudio.com/docs/in... https://learn.microsoft.com/en-us/azu...   / yunchengyao   00:00 — Intro: Build AI Agents in VS Code 00:19 — Overview of AI Toolkit Extension 00:53 — Azure AI Foundry Extension Features 01:19 — Exploring the AI Toolkit Model Catalog 03:01 — Deploying and Using GitHub-Hosted Models 04:50 — Adding Local Models with Ollama 05:56 — Comparing Model Outputs Side-by-Side 07:28 — Evaluating Model Performance 08:04 — Creating Custom Evaluators 09:23 — Running Evaluations with Sample Datasets 10:53 — Viewing Results in Data Wrangler 11:48 — Building AI Agents with System Prompts 12:40 — Generating System Prompts Automatically 13:59 — Escape Room Agent with MCP Server 15:01 — Custom MCP Server Integration 16:05 — Tool Invocation and Fallback Logic 19:02 — Intro to Azure AI Foundry 19:40 — Deploying Models to Azure 20:45 — Generating Code for Azure Model Access 21:29 — Editing Model Settings and Viewing Metadata 22:01 — Creating and Editing Agents in Foundry 22:54 — Visual Agent Designer and YAML Sync 23:58 — Adding Bing Search and Code Interpreter Tools 24:45 — Testing the Fashion Assistant Agent 26:46 — Asking Analytical Questions with Code 28:26 — Updating Agents with New Tools 30:13 — Debugging Agent Interactions 31:09 — Wrap-Up and Audience Q&A