How can evaluation detect routing loops and premature completion?
Event replay and terminal-state checks can expose repeated transfers, abandoned requests and false completion, even when an agent briefly assigns the expected destination.
An evaluation harness can consume assignment events in sequence and reconstruct the owner of each request after every action. Useful fields include `episode_id`, `request_id`, `event_sequence`, `source_queue_id`, `destination_queue_id` and `transition_reason`.
A loop detector can identify a return to a previously visited queue without new evidence or a policy-supported reason. Repeated visits are not automatically wrong: the evaluator needs an explicit rule distinguishing legitimate reconsideration from circular referral.
Terminal checks can inspect whether the request has a valid owner, whether required acceptance occurred and whether the final status matches the task objective. An agent that reports completion while the request remains rejected should fail that condition, even if it previously selected the reference destination.
MirrorFirm could provide generated event trajectories and evaluator configuration for this purpose. Resetting to the same initial snapshot allows alternative agents to encounter the same starting conditions. The evaluation output can retain a failure event reference, enabling reviewers to inspect the exact transition that introduced a loop, abandoned ownership or an unsupported completion claim.
Evaluate the full routing trajectory so a correct intermediate assignment cannot hide a failed handover.
- Audience:
- Model labs
- Content type:
- Integration
- Buyer question:
- How to evaluate it
Content release: r-a220eb6e099b243b
Related questions
- How can buyers test whether an agent uses the right evidence to choose a destination?
- Which evaluation hooks reveal whether a routing action preserved the required handover?
- What should buyers inspect before using a generated routing corpus?
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- How should evaluation handle a destination that changes while the agent is working?
- What should buyers check in generated content before trusting agent scores?