In Part 1, we built a Foundry agent with long-term memory that could remember user preferences, roles, and context across sessions without any custom embedding pipelines. If you haven’t read that post yet, I’d recommend starting there, as this one builds directly on top of that code. But here’s the thing: memory on its own is useful, but it’s not transformative. Knowing that a user prefers bullet-point summaries or works in the finance department is…
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 while working on a project where users were interacting with an enterprise agent multiple times throughout the…
After three months running Model Router in our private ChatGPT app, I figured it was time to share what actually works in production versus what the documentation says should work. Part 1 covered the architecture and decision framework. This post walks through the real implementation – deployment, code, monitoring, and the edge cases that aren’t obvious until you hit them.Fair warning: this gets technical. I’m showing you the .NET code we use, the telemetry patterns…