Monitoring OpenAI Agents in Production: Beyond the Obvious Metrics

You know that feeling when your OpenAI agent starts behaving weirdly at 3 AM and you have no idea what went wrong? Yeah, that's what we're fixing today. Most teams focus on token usage and API costs when monitoring their agents. Sure, those matter. But if you're running agents in production handling real requests, you need visibility into what's actually happening under the hood—the reasoning loops, the tool calls that failed silently, the hallucinations that almost made it to your users. The Ga