Red Hat’s production‑grade observability layer lets you see inside AI agents
Red Hat blog explains an operational layer for AI agents that adds cryptographic identity, scoped tool access, and guardrails, then captures the full LLM reasoning chain—prompts, tool calls, responses, retries—so teams get forensic‑level visibility. The layer surfaces anomalies like duplicate tickets, mis‑charged accounts, or hallucinated policies before they hit invoices, enabling reliable, cost‑governed deployments.