PRACTICE / AGENT LAB
Testing FROST-SOP: AI Agent Orchestration, Retries and Event Auditing
Reliable AI agents need more than a successful happy-path demo. This field test isolates one failure: a worker stops after receiving an event, and the same event must be delivered again without losing the audit trail or creating an uncontrolled duplicate.
What the test covers
The scenario covers event creation, worker execution, an injected failure, retry delivery, idempotency and a final audit record. It is intentionally narrow. It does not claim production reliability, security certification or complete coverage of an AI agent system.
Minimal event contract
Start with a stable event identifier and an explicit attempt number. The worker must be able to receive the same event more than once and decide whether the requested state transition has already been applied.
{
"event_id": "evt-001",
"type": "task.requested",
"attempt": 1,
"payload": {"task": "run-check"}
}Failure and retry sequence
- Emit one event and write it to the event log.
- Let the worker start, then force a controlled failure.
- Record the failed attempt with its reason and timestamp.
- Deliver the same
event_idagain with an incremented attempt. - Verify that the final state is explicit and the audit trail contains both attempts.
What to verify
The key result is not simply “the retry succeeded”. Check four separate properties: the event ID remains stable, the state transition is idempotent, the failure is visible, and the final outcome can be reconstructed from the log without relying on model memory.
Where AI agents need a boundary
AI agents should receive only the capabilities required for this scenario. The event payload is data, not an instruction to change the policy. Tool calls should pass through the same permission and approval gates on the first attempt and on every retry.
Common false passes
- The worker reports success after a timeout, while the event remains unacknowledged.
- A retry creates a second record because deduplication uses a timestamp instead of
event_id. - The final status is visible, but the original failure and retry reason are missing from the audit log.
- The test passes only when the worker is restarted manually, hiding the actual recovery contract.
Limitations
This is a reproducible test design for AI agent orchestration, not a guarantee that every failure mode is covered. Production use still requires load testing, access-control checks, data-retention rules, rollback procedures and monitoring under realistic traffic.