Invisible Corruption: Why Cost Tracking Alone Fails for AI Agents

This article reveals a critical blind spot in AI agent monitoring: cost-tracking systems miss behavioral failures and corruption until damage becomes visible in the invoice. As agent systems grow more complex with nested architectures, OpenTelemetry LLM semantic conventions—designed for flat microservice calls—fail to capture session boundaries and authorization states. Organizations must implement pre-commit budget ceilings and session-depth tagging to shift from post-mortem cost analysis to preventive behavioral monitoring.