Microsoft Developer presents an in-depth guide, led by April, on utilizing Azure AI Foundry’s Model Router with GPT-5 models, highlighting deployment, sample code execution, and optimizing intelligent agent projects.

Model Router + GPT-5 Models in Azure AI Foundry

Microsoft Developer’s latest episode, hosted by April, dives into the enhanced capabilities of the Model Router now supporting GPT-5 models within Azure AI Foundry. This upgrade enables developers to streamline their AI projects through intelligent model selection, improved performance, and cost optimization.

What You’ll Learn

Overview of Model Router: Introduction and the new capabilities brought by GPT-5 model integration.
How Model Routing Works: Explanation of routing requests to the most suitable AI model for a given task, maximizing both performance and efficiency.
Step-by-Step Demo:
- Model Deployment: How to deploy the latest AI models within Azure AI Foundry.
- Sample Code Access: Finding and understanding example projects provided by Microsoft.
- VS Code Integration: Demonstrations of running both basic and multi-turn sample code in Visual Studio Code.
Practical Use Cases:
- Building intelligent agents with optimized model selection
- Fine-tuning cost and resource usage
- Real-world application integration

Try It Yourself

Get started at ai.azure.com
Learn more about Model Router: https://aka.ms/insideAIF/model-router
Join the community:
- Discord: https://aka.ms/insideAIF/discord
- Forum: https://aka.ms/insideAIF/forum

Chapters

0:00 - 1:12 Intro
1:13 - 2:40 Deploy the model
2:41 - 4:02 Access the sample code
4:03 - 9:06 Run the basic sample code in VS Code
9:07 - 13:15 Run the multi-turn sample code in VS Code
13:16 - 13:46 Outro

April’s walkthrough provides a practical foundation for developers looking to harness the capabilities of Azure AI Foundry’s Model Router and the new GPT-5 models, offering actionable insights for AI-driven solution development.