From prompt to production: Build real-world AI apps
summary
Shows how Microsoft Foundry exposes 11,000+ models via the OpenAI Responses API and official SDKs for .NET, Python, JavaScript, Java and Go, and demos switching between Claude Opus 4.5 and GPT‑5. Walks through deploying models from the Foundry catalog, using Azure managed identity / token-based authentication (Entra ID + DefaultAzureCredential) instead of API keys, and registering remote MCP tools (Stripe + a currency converter). Live app creates a Stripe payment link after human approval, code and bicep starter kits are in the linked repo.
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chapters (14)
- 0:00Welcome Back to AI Dev Days: Moving to Production with Foundry
- 0:17Session Overview: Hello World to Production-Grade Scenarios
- 0:53Meet the Speakers: Scott Addie & Arun Ser
- 1:43What is Microsoft Foundry? Unified AI Development Experience
- 2:29Foundry Models: Accessing 11,000+ Models for AI Apps
- 3:15Using OpenAI Responses API: Future-Proofing Your Applications
- 4:18Demo: Deploying Claude Models with Foundry and AI Toolkit
- 7:32Starter Kits: Quick Setup for Foundry Models and OpenAI Responses
- 11:03Real-World Example: GPT-5 Integration with Managed Identity
- 13:02Secure Authentication: Azure Identity and RBAC Explained
- 16:28Advanced Demo: GPT-5 with Remote MCP Servers (Stripe & Currency Conversion)
- 19:01Tool Calling in Action: Human-in-the-Loop Approval and Payment Link Creation
- 20:00Code Walkthrough: Registering MCP Tools and Handling OAuth
- 22:02Resources & Wrap-Up: Starter Kits and GitHub Repo for Hands-On Practice
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