Monitor, verify, and debug your production AI agents with live progress streams, outcome verification, and context window alerts.
Added May 12, 2026
Developers running AI agents in production struggle with silent failures where agents log success but the actual outcome never happens, context windows bloat causing quiet output degradation, and on-call experiences that don't fit traditional sysadmin patterns. Existing logging and monitoring tools weren't built for the non-deterministic nature of LLM?-based agents.
A unified observability platform that surfaces live agent activity, progress, blockers, and decisions in real time across all running agents. It adds a verification layer that confirms actual outcomes occurred (not just tool-call success), tracks context window usage with proactive alerts before degradation, and provides on-call alerting tuned for agent-specific failure modes.
Production deployments of Claude Code, Codex, and custom agents have exploded in 2025-2026, but tooling for observing and verifying their behavior is years behind traditional APM. Teams running 50M+ tokens/month need agent-native monitoring before the next outage.
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