Why per-agent attribution matters
A single shared API key behind a fleet of agents collapses governance. Every prompt looks the same to billing, to audit, and to incident response. When something leaks, when costs spike, when a regulator asks, "who did what" — the answer is "we don't know."
Per-agent attribution restores accountability. Every action is bound to a unique agent identity, and that identity is bound to a human owner, a team, a budget, and a set of policies. Audit becomes possible, RBAC becomes meaningful, chargeback becomes accurate.
What complete attribution requires
Per-agent attribution requires four primitives:
Unique agent identity. A tenant-scoped credential issued per agent — not per service, not per environment. Reusing one key across many agents collapses attribution.
End-user binding. Many agents act on behalf of a human (a support assistant, a sales copilot). The user identity flows in alongside the agent identity (typically via an X-User header or signed claim) so audit can join both.
Per-agent rate limits and budgets. Quotas only matter if they are applied to the same identity that authored the action.
Trace-level enrichment. Every recorded trace includes the agent id, user id, policies that fired, and the upstream provider. Without this, attribution is theoretical.
Attribution beyond cost
Cost allocation is the obvious use case, but per-agent attribution underpins three more: (1) forensics — when a leak or incident occurs, the affected agent and user are knowable in seconds; (2) rightsizing — usage patterns reveal which agents are over- or under-provisioned; (3) regulatory readiness — EU AI Act, SOC 2, and similar frameworks require traceability that anonymous-key architectures cannot provide.
Frequently Asked Questions
Why isn't one API key per service enough?
A service often runs multiple distinct agents. One key per service hides which agent caused which action — collapsing both audit and chargeback.
How does per-agent attribution work for shared chatbots?
The agent identity stays constant; the end-user identity flows in per request via a header or signed token. Traces join both, so a single chatbot agent can be attributed to the specific human who triggered each interaction.