Agent health

How do I monitor health across hosted AI agents?

Monitor hosted AI agent health by checking tenant runtime state, lifecycle events, scheduled work, recent run outcomes, access state, and usage evidence for each managed runtime. Hermes Hub provides these operator-facing control and observability surfaces for hosted Hermes Agent runtimes; health conclusions should be based on recorded runtime evidence.

A practical health view

Use several signals together rather than treating one status field as a complete health verdict.

Runtime and access state

Check whether the tenant runtime is available and whether access controls permit the intended work.

Runs and schedules

Compare scheduled markers with actual starts, completions, stops, and recent outcomes.

Usage evidence

Review model and token usage alongside operational activity and policy context.

Health investigation paths

Security

Keep tenant identity, policies, secrets, and access boundaries in scope.

Learn more

Hosted agent health FAQ

Which signals should operators check first?
Start with runtime and access state, recent run lifecycle, schedule markers, outcomes, and model or token usage.
Does a healthy status prove an agent produced a correct answer?
No. Health evidence describes operational state; answer quality requires the applicable evaluation and review process.
Where are hosted Hermes Agent runtimes managed?
Hermes Hub is the control plane for tenant lifecycle, policies, schedules, releases, runs, and operational evidence.

Design an agent health view

Discuss the runtime, lifecycle, schedule, access, and usage evidence your operations team needs.

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