AI Agent Monitoring
See what agents
actually did.
When something breaks in production, you need to reason backward from what the agent actually did — not forward from what the model said it would do. MUTX captures execution traces, tool calls, and outcomes so your team can investigate incidents and improve agent behavior over time.
Observability properties
Traces, not tail outputs.
Traditional monitoring tells you that something happened. MUTX traces tell you what the agent actually did — the full execution path, the tool call chain, the outcome. Information structured for investigation, not just alerting.
Execution traces
See the full sequence of what the agent did — every model call, every tool invocation, every context window change. Not a summary the model wrote about itself, but the actual trace.
Tool call history
Which tool was called, with what arguments, in what order, and what came back. The information you need to understand why an agent chose a path — not just that it chose one.
Outcome records
What the agent produced, where it wrote state, what external calls it made. Outcome records let you reason backward from results instead of guessing forward from intentions.
Alert routing
When something in the trace looks wrong, alerts route to the right operator — not to a generic monitoring inbox nobody monitors. Alerts are attached to agent records, not floating in a SIEM.
Connected surfaces
Monitoring is the
payoff for good control.
When governance, deployment, and cost are all part of the same control plane, monitoring traces attach to all of them. You see the deployment that shipped, the policy that was evaluated, and the cost that was incurred — in the same trace.
Governance
Auth failures and policy violations are first-class trace events. You see when an agent hit a boundary and what it tried to do — not just the error that appeared in the logs.
Deployment
Traces are attached to deployment records. When you investigate a production incident, you see which deployment is running and what changed — not just a timestamp.
Cost Management
Cost spikes surface through the monitoring surface with corresponding traces. You see the spend anomaly and the execution trace in the same incident view.
Audit Logs
Traces feed the audit log. Every action is recorded with enough context to satisfy a compliance review — not just a generic “agent ran successfully” entry.
Get started
Watch the runtime
do something real.
Download the Mac app and run an agent. Open the trace view and see what it actually did — every tool call, every context window change, every outcome. Then compare that to what you thought it would do.