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Test Log - _02_task_sets

cookbook/environments/_02_task_sets/TEST_LOG.md

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Test Log - _02_task_sets

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

basic.py

Status: PASS

Description: Inline tasks with stable ids and expected values at K=4.

Result: Final live run completed with 12/12 scored attempts and no unscored attempts. Observed rates: easy-product 4/4 (1.00), chained-product-a 1/4 (0.25), dual-chain-sum 0/4 (0.00). The first calibration saturated its easy row and both standalone chained rows at 4/4, so one standalone row was replaced by the compound two-chain task and the file was rerun.


from_jsonl.py

Status: PASS

Description: Strict JSONL loading of three task rows at K=4.

Result: Live run loaded all three checked-in JSONL rows, scored 12/12 attempts, and had no unscored attempts. Observed rates: easy-product 4/4 (1.00), chained-product-a 3/4 (0.75), dual-chain-sum 0/4 (0.00). The standalone chained row supplied the true partial band.


with_metadata.py

Status: PASS

Description: Runs the two original task objects tagged as calibration rows at K=4.

Result: Final live run selected two original task objects by metadata, scored 8/8 attempts, and had no unscored attempts. Observed rates: chained-product-a 3/4 (0.75) and chained-product-b 3/4 (0.75). The first metadata slice produced only 4/4 and 0/4 rows; it was recalibrated to include two independent middle candidates before this run.