AI OBSERVABILITY
Every model call, every tool invoked, every input and output, every credential attached and every decision, traced in real time and exportable.
Follow a single run from the first prompt to the last tool call: inputs, outputs, latency and tokens, captured automatically and searchable in real time.


Evals turn observability from passive logging into active quality enforcement, and a failed critical check stops the agent.
Every entry carries a timestamp, the acting user, the credentials used and the outputs produced. When a SOC 2 auditor requests evidence, retrieve the complete trace directly from the CLI.


Define behavioural, structural, latency and cost criteria. Each execution is scored against them, and a critical failure halts the agent instead of logging the problem after the fact.


Cap spend by workspace, agent, user, provider and model. The Circuit Breaker stops an overrun rather than warning you once the money is gone.



— Head of Operations, CAP Consultor

Book a demo and follow one real agent run from first prompt to final tool call.
See a complete session trace for one of your agents
Understand how evals score a run and when they halt it
Export an audit trail the way an auditor would ask for it
Set circuit breakers before a run goes over budget