Microsoft Reactor

In this session we will make the agent production-ready. We will add job scheduling as a background service, integrate Azure OpenAI and Azure AI Foundry as cloud model providers, build monitoring dashboards, and write unit tests that verify the entire stack.

At the end we will have a complete, tested, cloud-ready agent platform with production-grade error handling, multiple AI model providers, scheduled automation, and observability dashboards. Deploy it to Azure Container Apps, App Service, or run it on-premises with Ollama.

Key Topics & Technologies:

• BackgroundService for long-running jobs
• Azure OpenAI integration and model selection
• Azure AI Foundry (inference, deployments, evaluation)
• Unit testing patterns for agents and tools
• Health checks and system diagnostics
• Job queuing and status tracking
• Configuration for multi-environment deployments (local, staging, production)