Beyond Langfuse: Why Your AI Agent Monitoring Deserves Better Than Generic Observability Platforms

You know that feeling when your LLM application suddenly starts hemorrhaging tokens at 3 AM and you don't realize it until your Slack bill arrives? Yeah, that's what happens when you're using generic observability tools that weren't built for the actual chaos of production AI agents. Langfuse has been the go-to for LLM observability, but here's the thing—it's basically a logging database with a dashboard bolted on. It's great for debugging individual traces, but it doesn't give you the operation