That's a great observation. I completely agree that traditional infrastructure metrics only tell part of the story. An agent can appear healthy from a system perspective while still making poor decisions, looping through tools, or generating unnecessary costs. What makes agentic systems different is that we need visibility into behavior, not just infrastructure. Session traces, tool-call chains, token consumption, decision paths, and security audits are becoming just as important as CPU, memory, and uptime metrics. I also think explainability will become a key requirement as agents gain more autonomy. When an agent takes an action, teams won't just ask Did it work? they'll ask Why did it choose that action? and What information influenced that decision? As you mentioned, observability is quickly evolving from an operational convenience into a core layer for governance, safety, cost control, and trust in production AI systems.