After three months running Model Router in production, I wanted to write up what actually works versus what the documentation promises. Part 1 covered the architecture and the decision framework. This post is the implementation: deployment, code, monitoring, and the edge cases that don’t show up until you hit them in production. Fair warning: this gets technical. I’m showing the .NET code we use, the telemetry that matters, and the gotchas that cost us a…
I’ve been working with Azure OpenAI for the past year at Advania, building a custom AI application for one of our enterprise clients. Users can create folders, organize their chats, ask anything from simple questions to complex analysis, and upload Word or Excel files for document analysis. We’ve wired it up to Azure AI Search, Azure AI Agents with code interpreter, Fabric for data access, and Bing grounding for web search. One pattern kept repeating:…

