Your LLM endpoint might be silently switching models without you knowing it, breaking your application's behavior even while health checks pass. This black-box monitoring system detects when model responses change due to weight updates, infrastructure changes, or hardware swaps—essential for maintaining consistent AI application behavior in production.
OpenAI reveals how they monitor their internal coding agents for misalignment using chain-of-thought analysis, providing rare insight into production AI safety practices. This is essential reading for teams deploying agents at scale who need to detect when AI behavior drifts from intended functionality.
You can predict whether an LLM's chain-of-thought reasoning will be correct by tracking whether uncertainty decreases at every step—a simple diagnostic that works better than confidence scores. This 'monotonicity' check gives you a practical way to catch reasoning failures before they impact your application.