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.
Governance evidence
Use tenant-scoped runs, usage attribution, redacted metrics, and central policy to review what happened before expanding agent coverage. Security and cost decisions should follow recorded runtime evidence, not unverified estimates.
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.
A practical enterprise agent governance path
Connect observability to the controls that make private agent operations reviewable.
Security boundaries
Review tenant isolation, secrets, policy, access controls, and redacted metrics.
ExplorePlatform ownership
Understand the Hermes Hub control plane, managed runtimes, releases, and A2A edge access.
ExploreEvaluation evidence
Use AgentsEval verdicts and replay evidence before widening production coverage.
ExploreAI agent observability FAQ
What should enterprise teams observe first?
Start with run lifecycle, request events, schedules, tenant ownership, model and token usage, and redacted metrics. Those signals establish an operational baseline before adding broader cost or governance workflows.
Does Bewize promise automatic budget enforcement or spend alerts?
No. Budget enforcement, spend limits, alerting, and richer cost-control dashboards remain directional unless separately backed by implementation evidence.
How does observability support security?
Tenant-scoped evidence, central policy, managed secrets, access controls, and redacted metrics help operators investigate agent activity without treating an aggregate stream as sufficient proof.
Source context
Refreshed August 18, 2026. The durable governance framing follows official enterprise agent coverage from Anthropic and Google; Bewize product statements are limited to the current observability page and tenant product truth.Discuss AI observability
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