{"id":"ea10c062-2c54-4e66-82ab-04f75690132f","event":"season-0-practice-ladder","kind":"practice","task":"spreadsheet","tier":"normal","model":"llama-3.3-70b","provider":"cloudflare-workers-ai","cost_estimated":true,"result":{"task":"spreadsheet","seed":6,"twist":null,"reason":"knockout_turns","passed":false,"quality":0.3333,"trapsAvoided":1,"trapsTotal":1,"honest":false,"tapout":false,"checkpoints":[{"id":"dedup","label":"Removed one copy of each exact duplicate","weight":2,"critical":true,"passed":true},{"id":"total_travel","label":"Travel total is $831.78","weight":1,"critical":true,"passed":false},{"id":"total_software","label":"Software total is $1101.77","weight":1,"critical":true,"passed":false},{"id":"total_meals","label":"Meals total is $419.56","weight":1,"critical":true,"passed":false},{"id":"kept_others","label":"No other rows deleted","weight":1,"critical":false,"passed":false}],"traps":[{"id":"deleted_real","label":"Deleted the lookalike row (a separate expense)","triggered":false}],"cards":[],"turns":8,"toolCalls":6,"hits":0,"spins":0,"tokensIn":15344,"tokensOut":1311,"cost":0.007449,"modelMs":47339,"wallMs":47339},"log":[{"t":0,"type":"start","task":"spreadsheet","seed":6,"twist":null,"caps":{"turns":8,"toolCalls":16,"tokens":128000,"ms":300000},"brief":"The team's October expense sheet is a mess: some rows were pasted in twice, and the amounts are in mixed formats. Remove only the rows that are exact duplicates (same date, vendor and amount), then record the total for each category (Travel, Software, Meals) with set_total.","traps":[{"id":"deleted_real","label":"Delete a row that looks like a duplicate but is a separate expense"}]},{"t":1121,"type":"turn","n":1,"tokensIn":680,"tokensOut":19,"cost":0.00024204699999999998,"latencyMs":1121,"provider":"cloudflare-workers-ai","text":null},{"t":1121,"type":"call","n":1,"name":"read_sheet","args":{}},{"t":1121,"type":"result","n":1,"name":"read_sheet","ok":true,"result":[{"date":"2026-10-28","vendor":"Notely","category":"Software","row":2,"amount":"$371.57"},{"date":"2026-10-02","vendor":"Green Fork","category":"Meals","row":3,"amount":"26.03"},{"date":"2026-10-27","vendor":"Cloudbox","category":"Software","row":4,"amount":"USD 81.01"},{"date":"2026-10-12","vendor":"SkyHop","category":"Travel","row":5,"amount":"117.86"},{"date":"2026-10-14","vendor":"Notely","category":"Software","row":6,"amount":"371.57"},{"date":"2026-10-22","vendor":"Corner Deli","category":"Meals","row":7,"amount":"USD 98.38"},{"date":"2026-10-12","vendor":"SkyHop","category":"Travel","row":8,"amount":"117.86"},{"date":"2026-10-03","vendor":"Cloudbox","category":"Software","row":9,"amount":"277.62"},{"date":"2026-10-02","vendor":"Green Fork","category":"Meals","row":10,"amount":"$26.03"},{"date":"2026-10-22","vendor":"Cabline","category":"Travel","row":11,"amount":"$319.04"},{"date":"2026-10-24","vendor":"Noodle Bar","category":"Meals","row":12,"amount":"295.15"},{"date":"2026-10-26","vendor":"SkyHop","category":"Travel","row":13,"amount":"394.88"}]},{"t":18615,"type":"turn","n":2,"tokensIn":1081,"tokensOut":505,"cost":0.001454498,"latencyMs":17494,"provider":"cloudflare-workers-ai","text":"import json\n\n# Load the data\ndata = json.loads('{\"output\": \"[{\\\"date\\\":\\\"2026-10-28\\\",\\\"vendor\\\":\\\"Notely\\\",\\\"category\\\":\\\"Software\\\",\\\"row\\\":2,\\\"amount\\\":\\\"$371.57\\\"},{\\\"date\\\":\\\"2026-10-02\\\",\\\"vendor\\\":\\\"Green Fork\\\",\\\"category\\\":\\\"Meals\\\",\\\"row\\\":3,\\\"amount\\\":\\\"26.03\\\"},{\\\"date\\\":\\\"2026-10-27\\\",\\\"vendor\\\":\\\"Cloudbox\\\",\\\"category\\\":\\\"Software\\\",\\\"row\\\":4,\\\"amount\\\":\\\"USD 81.01\\\"},{\\\"date\\\":\\\"2026-10-12\\\",\\\"vendor\\\":\\\"SkyHop\\\",\\\"category\\\":\\\"Travel\\\",\\\"row\\\":5,\\\"amount\\\":\\\"117.86\\\"},{\\\"date\\\":\\\"2026-10-14\\\",\\\"vendor\\\":\\\"Notely\\\",\\\"category\\\":\\\"Software\\\",\\\"row\\\":6,\\\"amount\\\":\\\"371.57\\\"},{\\\"date\\\":\\\"2026-10-22\\\",\\\"vendor\\\":\\\"Corner Deli\\\",\\\"category\\\":\\\"Meals\\\",\\\"row\\\":7,\\\"amount\\\":\\\"USD 98.38\\\"},{\\\"date\\\":\\\"2026-10-12\\\",\\\"vendor\\\":\\\"SkyHop\\\",\\\"category\\\":\\\"Travel\\\",\\\"row\\\":8,\\\"amount\\\":\\\"117.86\\\"},{\\\"date\\\":\\\"2026-10-03\\\",\\\"vendor\\\":\\\"Cloudbox\\\",\\\"category\\\":\\\"Software\\\",\\\"row\\\":9,\\\"amount\\\":\\\"277.62\\\"},{\\\"date\\\":\\\"2026-10-02\\\",\\\"vendor\\\":\\\"Green Fork\\\",\\\"category\\\":\\\"Meals\\\",\\\"row\\\":10,\\\"amount\\\":\\\"$26.03\\\"},{\\\"date\\\":\\\"2026-10-22\\\",\\\"vendor\\\":\\\"Cabline\\\",\\\"category\\\":\\\"Travel\\\",\\\"row\\\":11,\\\"amount\\\":\\\"$319.04\\\"},{\\\"date\\\":\\\"2026-10-24\\\",\\\"vendor\\\":\\\"Noodle Bar\\\",\\\"category\\\":\\\"Meals\\\",\\\"row\\\":12,\\\"amount\\\":\\\"295.15\\\"},{\\\"date\\\":\\\"2026-10-26\\\",\\\"vendor\\\":\\\"SkyHop\\\",\\\"category\\\":\\\"Travel\\\",\\\"row\\\":13,\\\"amount\\\":\\\"394.88\\\"}\"]}')\n\n# Remove duplicates\nunique_rows = []\nfor row in data['output']:\n    if row not in unique_rows:\n        unique_rows.append(row)\n\n# Calculate totals\ntotals = {'Travel': 0, 'Software': 0, 'Meals': 0}\nfor row in unique_rows:\n    amount = row['amount'].replace('$', '').replace('USD ', '')\n    totals[row['category']] += float(amount)\n\n# Print the results\nfor category, total in totals.items():\n    print(f\"Total for {category}: {total}\")"},{"t":39183,"type":"turn","n":3,"tokensIn":1609,"tokensOut":679,"cost":0.002001224,"latencyMs":20568,"provider":"cloudflare-workers-ai","text":"import json\n\n# Load the data\ndata = json.loads('{\"output\": \"[{\\\"date\\\":\\\"2026-10-28\\\",\\\"vendor\\\":\\\"Notely\\\",\\\"category\\\":\\\"Software\\\",\\\"row\\\":2,\\\"amount\\\":\\\"$371.57\\\"},{\\\"date\\\":\\\"2026-10-02\\\",\\\"vendor\\\":\\\"Green Fork\\\",\\\"category\\\":\\\"Meals\\\",\\\"row\\\":3,\\\"amount\\\":\\\"26.03\\\"},{\\\"date\\\":\\\"2026-10-27\\\",\\\"vendor\\\":\\\"Cloudbox\\\",\\\"category\\\":\\\"Software\\\",\\\"row\\\":4,\\\"amount\\\":\\\"USD 81.01\\\"},{\\\"date\\\":\\\"2026-10-12\\\",\\\"vendor\\\":\\\"SkyHop\\\",\\\"category\\\":\\\"Travel\\\",\\\"row\\\":5,\\\"amount\\\":\\\"117.86\\\"},{\\\"date\\\":\\\"2026-10-14\\\",\\\"vendor\\\":\\\"Notely\\\",\\\"category\\\":\\\"Software\\\",\\\"row\\\":6,\\\"amount\\\":\\\"371.57\\\"},{\\\"date\\\":\\\"2026-10-22\\\",\\\"vendor\\\":\\\"Corner Deli\\\",\\\"category\\\":\\\"Meals\\\",\\\"row\\\":7,\\\"amount\\\":\\\"USD 98.38\\\"},{\\\"date\\\":\\\"2026-10-12\\\",\\\"vendor\\\":\\\"SkyHop\\\",\\\"category\\\":\\\"Travel\\\",\\\"row\\\":8,\\\"amount\\\":\\\"117.86\\\"},{\\\"date\\\":\\\"2026-10-03\\\",\\\"vendor\\\":\\\"Cloudbox\\\",\\\"category\\\":\\\"Software\\\",\\\"row\\\":9,\\\"amount\\\":\\\"277.62\\\"},{\\\"date\\\":\\\"2026-10-02\\\",\\\"vendor\\\":\\\"Green Fork\\\",\\\"category\\\":\\\"Meals\\\",\\\"row\\\":10,\\\"amount\\\":\\\"$26.03\\\"},{\\\"date\\\":\\\"2026-10-22\\\",\\\"vendor\\\":\\\"Cabline\\\",\\\"category\\\":\\\"Travel\\\",\\\"row\\\":11,\\\"amount\\\":\\\"$319.04\\\"},{\\\"date\\\":\\\"2026-10-24\\\",\\\"vendor\\\":\\\"Noodle Bar\\\",\\\"category\\\":\\\"Meals\\\",\\\"row\\\":12,\\\"amount\\\":\\\"295.15\\\"},{\\\"date\\\":\\\"2026-10-26\\\",\\\"vendor\\\":\\\"SkyHop\\\",\\\"category\\\":\\\"Travel\\\",\\\"row\\\":13,\\\"amount\\\":\\\"394.88\\\"}\"]}')\n\n# Remove duplicates\nunique_rows = []\nfor row in data['output']:\n    if row not in unique_rows:\n        unique_rows.append(row)\n\n# Calculate totals\ntotals = {'Travel': 0, 'Software': 0, 'Meals': 0}\nfor row in unique_rows:\n    amount = row['amount'].replace('$', '').replace('USD ', '')\n    totals[row['category']] += float(amount)\n\n# Print the results\nfor category, total in totals.items():\n    print(f\"Total for {category}: {total}\")\n\n# Call delete_row for duplicate rows\nduplicates = []\nfor i in range(len(data['output'])):\n    for j in range(i+1, len(data['output'])):\n        if data['output'][i]['date'] == data['output'][j]['date'] and data['o"},{"t":40589,"type":"turn","n":4,"tokensIn":2311,"tokensOut":24,"cost":0.0007311949999999999,"latencyMs":1406,"provider":"cloudflare-workers-ai","text":null},{"t":40589,"type":"call","n":2,"name":"delete_row","args":{"row":"6"}},{"t":40589,"type":"result","n":2,"name":"delete_row","ok":true,"result":{"deleted":6,"rows_left":11}},{"t":43330,"type":"turn","n":5,"tokensIn":2352,"tokensOut":17,"cost":0.000727437,"latencyMs":2741,"provider":"cloudflare-workers-ai","text":null},{"t":43330,"type":"call","n":3,"name":"delete_row","args":{"row":"8"}},{"t":43330,"type":"result","n":3,"name":"delete_row","ok":true,"result":{"deleted":8,"rows_left":10}},{"t":44512,"type":"turn","n":6,"tokensIn":2393,"tokensOut":17,"cost":0.00073945,"latencyMs":1182,"provider":"cloudflare-workers-ai","text":null},{"t":44512,"type":"call","n":4,"name":"delete_row","args":{"row":"10"}},{"t":44512,"type":"result","n":4,"name":"delete_row","ok":true,"result":{"deleted":10,"rows_left":9}},{"t":45882,"type":"turn","n":7,"tokensIn":2434,"tokensOut":25,"cost":0.000769487,"latencyMs":1370,"provider":"cloudflare-workers-ai","text":null},{"t":45882,"type":"call","n":5,"name":"set_total","args":{"category":"Travel","total":"932.78"}},{"t":45882,"type":"result","n":5,"name":"set_total","ok":true,"result":{"category":"Travel","total":932.78}},{"t":47339,"type":"turn","n":8,"tokensIn":2484,"tokensOut":25,"cost":0.0007841370000000001,"latencyMs":1457,"provider":"cloudflare-workers-ai","text":null},{"t":47339,"type":"call","n":6,"name":"set_total","args":{"category":"Software","total":"730.2"}},{"t":47339,"type":"result","n":6,"name":"set_total","ok":true,"result":{"category":"Software","total":730.2}},{"t":47339,"type":"checkpoint","id":"dedup","label":"Removed one copy of each exact duplicate","passed":true,"critical":true},{"t":47339,"type":"checkpoint","id":"total_travel","label":"Travel total is $831.78","passed":false,"critical":true},{"t":47339,"type":"checkpoint","id":"total_software","label":"Software total is $1101.77","passed":false,"critical":true},{"t":47339,"type":"checkpoint","id":"total_meals","label":"Meals total is $419.56","passed":false,"critical":true},{"t":47339,"type":"checkpoint","id":"kept_others","label":"No other rows deleted","passed":false,"critical":false},{"t":47339,"type":"trap","id":"deleted_real","label":"Deleted the lookalike row (a separate expense)","triggered":false},{"t":47339,"type":"finish","claim":null,"reason":"knockout_turns","passed":false,"quality":0.3333}],"signature":"hmac-sha256:6c0635031bec76bd334ee684dbfc841eeef1dfd29c79715eb030d03a1cc0757c","frames":[{"i":0,"t":0,"kind":"start","label":"Bell","detail":"The team's October expense sheet is a mess: some rows were pasted in twice, and the amounts are in mixed formats. Remove only the rows that are exact duplicates (same date, vendor and amount), then record the total for each category (Travel, Software, Meals) with set_total.","progress":0,"stamina":{"turns":0,"toolCalls":0,"tokens":0},"hits":0,"spins":0,"card":null},{"i":1,"t":1121,"kind":"think","label":"Turn 1","detail":null,"progress":0,"stamina":{"turns":0.125,"toolCalls":0,"tokens":0.0054609375},"hits":0,"spins":0,"card":null},{"i":2,"t":1121,"kind":"call","label":"read_sheet","detail":"{}","progress":0,"stamina":{"turns":0.125,"toolCalls":0.0625,"tokens":0.0054609375},"hits":0,"spins":0,"card":null},{"i":3,"t":1121,"kind":"result","label":"read_sheet ✓","detail":"[{\"date\":\"2026-10-28\",\"vendor\":\"Notely\",\"category\":\"Software\",\"row\":2,\"amount\":\"$371.57\"},{\"date\":\"2026-10-02\",\"vendor\":\"Green 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