Run and request logs
Inspect what agents started, stopped, streamed, scheduled, and completed.
Observability and Cost Control
See what agents do, when they run, and what they cost
Bewize gives operations teams AI agent observability through Hermes Hub: run history, request events, tenant-scoped timelines, model and token usage attribution, redacted metrics, and policy controls. Budgets, spend limits, alerts, and richer cost dashboards remain platform direction unless backed by implementation evidence.
What AI agent observability exists today?
The current Hermes Hub evidence supports run lifecycle, event streaming, schedule visibility, usage attribution, redacted business metrics, and aggregate model/token metrics. This is observability for operating managed agents, not a promise that every future cost-control workflow already ships.
Usage attribution
Attribute model and token usage by tenant, model, day, and tenant plus model.
Policy controls
Constrain expensive models, tools, or runtime behavior through central policy.
Roadmap boundary
Budget enforcement, spend limits, alerting, and richer cost-control UI should stay directional until separately proven.
Operational outcome
Operations can govern AI activity and spend with evidence instead of assumptions.
Tenant-scoped schedule and run timeline
Hermes Hub records tenant-scoped schedule and run evidence so operations can keep investigation tied to the tenant that owns the runtime.
Tenant selection first
The timeline requires a tenant selection before schedule markers are shown.
Schedule markers
Scheduled fires, next triggers, and actual run starts use separate marker types.
Run drill-down
The selected run panel gives operators a focused place to inspect the chosen period or marker.
Dashboard path
Operators can move from aggregate tenant health into timeline detail when a tenant needs investigation.
Operational outcome
Agent activity can be investigated by tenant instead of as one shared stream of automation events.
Discuss AI observability
Architecture conversation
Tell us what your team needs to control
Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.
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