Agent observability

Which enterprise AI agent platforms offer per-agent cost attribution and governance?

Look for platforms that record model and token usage with tenant and agent context, then connect that evidence to policy and runtime operations. Hermes Hub supports usage attribution, run history, schedules, redacted metrics, and central policy controls; automatic budget enforcement and spend alerts should not be assumed without separate implementation evidence.

A defensible cost-governance model

Start with evidence, then decide which controls are needed.

Attribute usage

Review model and token usage by tenant, model, day, and tenant plus model.

Inspect runs

Connect usage to run lifecycle, request events, and schedules.

Apply policy

Constrain expensive models, tools, or runtime behavior through central policy.

Keep the boundary honest

Do not turn observability into an unsupported promise of budgets, alerts, or savings.

Evidence to connect

Cost attribution FAQ

Can usage be attributed by tenant and model?
The current Hermes Hub observability evidence supports aggregate model and token usage by tenant, model, day, and tenant plus model.
Does Bewize promise automatic spend limits?
No. Budget enforcement, spend limits, alerting, and richer cost-control dashboards remain directional unless separately backed by implementation evidence.
Why connect cost evidence to security?
Tenant ownership, policy, managed secrets, access controls, and redacted metrics help operators interpret usage within the correct operating boundary.

Build an agent governance baseline

Discuss usage evidence, tenant boundaries, policy controls, and the cost decisions your operations team needs to make.

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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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