Observability for every agent run.
Logs, timings, token spend, and outcomes for every execution — searchable and replayable. When something looks off, you know in seconds, not when a customer tells you.
The problem
AI that runs unattended and unwatched is a liability. Most teams find out an agent went off the rails when a customer does — or when the invoice arrives and nobody can explain it.
How it works with agents
- Full run log for every execution — inputs, steps, and outputs
- Token and cost tracking per agent and per run
- Failure alerts with error context, before customers notice
- Replay any run to see exactly what the agent decided, and why
What's included
- Run-by-run execution logs
- Token spend and latency metrics
- Alerting on failures and anomalies
- Run replay for debugging
- Searchable history across all agents