If you’ve worked with AI agents in production, you’ve almost certainly run into this problem: a user tells your agent something important in one session, and the next time they come back, the agent has completely forgotten about it. The user has to repeat themselves. Context is lost. The experience feels disjointed. I ran into this exact issue on a project where users interacted with an enterprise agent multiple times a day. They’d establish context…
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…