[deep-report] Daily Max Ai Credits Test failures aren't flagged intentional_failure, skewing success-rate rollups
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 65/100
Research direction
The issue does not name the classification files or tests. Start by locating where the logs tooling derives or tags intentional_failure, then compare the handling of “Daily Max Ai Credits Test” with its sibling “Daily Credit Limit Test.” Confirm the expected-failure runs are tagged correctly and run the relevant tests; done means the expected failures are excluded from success-rate rollups.
Written by the indexing model from the issue text.
Description
Description
This week's fleet-log sample shows "Daily Max Ai Credits Test" had 7 runs with 3 failures, all driver_exit-type consistent with its per-run max-ai-credits guardrail firing as designed — but none of the 3 failed runs were flagged intentional_failure: true in the logs tool's metadata, unlike its sibling "Daily Credit Limit Test" (14/14 flagged correctly). This means fleet-wide success-rate rollups that exclude intentional_failure runs currently miss this workflow and undercount its expected failures as real regressions.
Expected Impact
Keeps weekly/fleet success-rate reporting accurate by correctly classifying this guardrail test's expected failures, preventing a recurring false signal in health reports.
Suggested Agent
General Go agent working on the agenticworkflows/logs-classification tooling (wherever intentional_failure is derived/tagged)
Estimated Effort
Quick (< 1 hour — likely a missing name/pattern match in the classification logic)
Data Source
DeepReport fleet-health log analysis, 2026-09-30 to 2026-10-07 (agenticworkflows logs sampling)
Generated by 🔬 Deep Report · claude · agent · 553.8 AIC · ⌖ 7.81 AIC · ⊞ 7.1K · ◷
- expires on Oct 8, 2026, 5:41 PM UTC-08:00
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