Run and request logs
Inspect what agents started, stopped, streamed, scheduled, and completed.
Observability and Cost Control
See what agents do and what they cost
Bewize treats observability, cost control, and evaluation evidence as control-plane responsibilities. Operations teams need attribution across runs, requests, schedules, models, token usage, tenants, teams, and agents before AI spend becomes invisible.
Operational visibility for managed agents
The current Hermes Hub evidence supports run lifecycle, event streaming, usage attribution, redacted business metrics, and aggregate usage metrics. Budgets, limits, alerts, and richer cost-control UI should be described as platform direction unless backed by implementation evidence.
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.
Operational outcome
Operations can govern AI activity and spend with evidence instead of assumptions.
Tenant-scoped schedule and run timeline
The Playwright proof captures a tenant-filtered timeline. Operators select a tenant, inspect scheduled fires and next triggers for that tenant lane, and keep run/schedule 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.
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