Capture usage context
Keep model and token events associated with the tenant and run that produced them.
Usage attribution
How do I attribute AI agent costs by agent or tenant?
Attribute AI agent costs by collecting tenant-scoped model and token usage, then grouping the available evidence by tenant, model, day, and tenant-plus-model context. Hermes Hub supports usage attribution and redacted operational metrics; automatic budgets, spend limits, and alerts should not be claimed unless separately backed by implementation evidence.
A bounded attribution model
Use recorded usage signals without turning them into unsupported financial promises.
Group the evidence
Review usage by tenant, model, day, and tenant-plus-model where the source supports it.
Separate future controls
Treat budgets, spend enforcement, alerts, and richer dashboards as separate capabilities requiring proof.
AI agent cost attribution FAQ
What usage dimensions are currently source-backed?
The current evidence supports model and token usage attribution by tenant, model, day, and tenant plus model.
Does usage attribution equal a complete invoice?
No. It is operational usage evidence and should be reconciled with the relevant provider and accounting definitions before financial reporting.
Does Bewize promise automatic spend limits?
No. Budget enforcement, spend limits, alerting, and richer cost-control UI remain directional unless implementation evidence supports them.
Discuss agent usage attribution
Discuss tenant-scoped usage evidence, model attribution, and the controls needed for cost governance.
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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