Test Log - _28_ci_gating

Tested 2026-07-20 against gpt-5.5 through OpenAIResponses, Agno 2.7.4.

basic.py

Status: PASS

Description: Aggregate summary() gate with an unscored-attempt guard.

Result: The final normal live run completed 8/8 scored attempts in 50 seconds. rounds-eight passed 0/4 (0.00) and rounds-nine 2/4 (0.50), giving an aggregate 0.25 against the 0.60 floor. It printed gate decision: FAIL and exited successfully with enforcement disabled.

The explicit enforcement check used --enforce --minimum-pass-rate 1.0 and observed 3/4 (0.75) on both rows. It printed FAIL and exited with status 1; the surrounding test command verified that expected status and completed successfully.

per_task_floor.py

Status: PASS

Description: Per-task pass-rate floor over calibrated recurrence tasks.

Result: The enforced live run completed 12/12 scored attempts in 68 seconds. easy-anchor passed 4/4 (1.00), rounds-eight 1/4 (0.25), and rounds-ten 0/4 (0.00). With --minimum-task-rate 1.0, the gate named both recurrence tasks as violations and exited with status 1; the surrounding command asserted that expected status.

baseline_regression.py

Status: PASS

Description: Saved baseline and EnvironmentDiff regression gate.

Result: The enforced final run saved and reloaded a high-reasoning baseline at 4/4 (1.00) on both tasks. The low-reasoning candidate scored 3/4 (0.75) on rounds-eight and 2/4 (0.50) on rounds-nine, so EnvironmentDiff reported regressions of -0.25 and -0.50. With --maximum-drop 0.0, the gate named both tasks, reported zero unscored attempts on both sides, and exited with status 1; the surrounding command asserted that expected status. Baseline and candidate runs took 131 and 77 seconds respectively.

Calibration: An earlier medium-reasoning candidate at the 3000-token cap was discarded after six incomplete-response warnings. The first enforcement probe with low reasoning on both sides produced 2/4 (0.50) on every row, so the zero-drop gate correctly passed and exited 0. The final high-versus-low policy comparison removed that tie and supplied the exercised regression path.