Every AI app I've shipped recently rewrote the same plumbing. The OAuth dance for Slack. Encrypted storage for an API key. Refresh-token logic that finally fails on the 3rd call after an hour. Wiring up an MCP client to a server behind a bearer token someone pasted into a Notion page.
You know that feeling when your AI agent starts burning through your API budget at 3 AM and you only find out the next morning? Yeah, we've all been there. The observability space for LLM applications has exploded in recent years, but most platforms either lock you into their ecosystem or charge you per-token like it's liquid gold. Let's talk about building a real-time monitoring strategy that doe