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Gemini 3.8 Flash (effort medium · thinking on) on Work out a library's overdue fines from loans, renewals, closed days and member categories

GGemini 3.8 Flashmedium · thinking on · Antigravity CLI 1.4.5 (agy -p) · cloud · 2026-10-23 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.24
Wall time
2m
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Work out a library's overdue fines for November Inputs: `loans.csv` (loan_id, member_id, item_type, due_date, returned_on), `renewals.csv` (loan_id, renewed_on, new_due_date), `members.csv` (member_id, category), `library.json` and `desk-note.txt`. Amounts are in pounds. `library.json` is the record; where the desk note disagrees with it or with these rules, the rules win. Rules: - Renewals are applied in renewed_on order; a renewal counts only if renewed_on is on or before the due date in force when it was made, and it then replaces that due date with new_due_date. - Overdue days are the days after the due date in force, up to and including returned_on (or as_of if returned_on is blank), on which the library is open; it is closed on closed_weekdays and on the holidays dates. - Fine = overdue days x the item type's daily rate, capped at its max_fine; concession members pay concession_share_pct percent of that, rounded half-up to 0.01; child members pay nothing. - Write `out/fines.json`: `{"overdue_days": {"<loan_id>": <days>, ...}, "fines": {"<loan_id>": <fine>, ...}, "member_totals": {"<member_id>": <sum of fines>, ...}, "total": <sum of all fines>}`. `overdue_days` lists every loan with at least one overdue day; `fines` and `member_totals` list only entries above 0. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.

Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a Google account via Antigravity CLI, not billed per token).

Success criteria: overdue_days renewals fines totals

Setup notes: batch29 case h01-library-overdue-fines (offline fixture). Prepared with batch29/prepare.sh on the shared box; only TASK.md + starting files went to the agent machine, hidden keys stayed on the box. Prompt = TASK.md verbatim. Flags: -p --model gemini-3.8-flash-medium --sandbox --dangerously-skip-permissions --disable-slash-commands --output-format stream-json, cwd=workdir. Scored on the box with `python3 score.py WORKDIR KEYDIR`. Single run, no retries, no human input. Autonomous case (seed 1691910055): no stand-in user; any ask/ file counts as an intervention and blocks a pass. Requested model gemini-3.8-flash-medium (effort medium); priced at the base model row gemini-3.8-flash (pricing.json, https://ai.google.dev/gemini-api/docs/pricing). Score: 4/4. Cost is an ESTIMATE: measured tokens x pricing.json list price (Google account, nothing billed per token); output_tokens include thinking tokens. Tool calls 20 (0 failed). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.24
Wall time
2m
Human step-ins
0
Turns
21
Model usage
ModelInput tokOutput tokCost
GGemini 3.8 Flashgoogle/gemini-3.8-flasheffort medium · thinking on515,99125,919$0.24

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Gemini 3.8 Flash (google/gemini-3.8-flash, effort medium · thinking on) via Antigravity CLI 1.4.5 (agy -p), cloud.
  3. It counts as a success only if it meets every success criterion: overdue_days renewals fines totals
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

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Evidence log
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{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 15, "state": "DONE", "step_type": "agent_response", "duration_seconds": 16.137282433, "usage": {"input_tokens": 12333, "output_tokens": 6190, "thinking_tokens": 5991, "cache_read_tokens": 0, "total_tokens": 18523}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 16, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import datetime, timedelta\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nprint('Library:', lib)\nprint('Members count:', len(members))\nprint('Renewals count:', len(renewals))\nprint('Loans count:', len(loans))\n\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 16, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.32619202, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import datetime, timedelta\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nprint('Library:', lib)\nprint('Members count:', len(members))\nprint('Renewals count:', len(renewals))\nprint('Loans count:', len(loans))\n\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nLibrary: {'as_of': '2026-11-30', 'closed_weekdays': ['Sun'], 'holidays': ['2026-11-09', '2026-11-20'], 'concession_share_pct': 50, 'rates': {'book': {'daily': '0.30', 'max_fine': '6.00'}, 'dvd': {'daily': '1.20', 'max_fine': '12.00'}, 'laptop': {'daily': '3.00', 'max_fine': '30.00'}}}\r\nMembers count: 11\r\nRenewals count: 9\r\nLoans count: 27\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 17, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.304631285, "usage": {"input_tokens": 18774, "output_tokens": 426, "thinking_tokens": 28, "cache_read_tokens": 0, "total_tokens": 19200}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 18, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import datetime, date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 18, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.294097092, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import datetime, date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\n2026-11-01 weekday: Sun\r\nRenewals in order:\r\n{'loan_id': 'LN-906', 'renewed_on': '2026-11-03', 'new_due_date': '2026-11-17'}\r\n{'loan_id': 'LN-803', 'renewed_on': '2026-11-05', 'new_due_date': '2026-11-19'}\r\n{'loan_id': 'LN-889', 'renewed_on': '2026-11-10', 'new_due_date': '2026-11-24'}\r\n{'loan_id': 'LN-740', 'renewed_on': '2026-11-11', 'new_due_date': '2026-11-25'}\r\n{'loan_id': 'LN-989', 'renewed_on': '2026-11-12', 'new_due_date': '2026-11-26'}\r\n{'loan_id': 'LN-823', 'renewed_on': '2026-11-15', 'new_due_date': '2026-11-29'}\r\n{'loan_id': 'LN-793', 'renewed_on': '2026-11-20', 'new_due_date': '2026-12-04'}\r\n{'loan_id': 'LN-969', 'renewed_on': '2026-11-21', 'new_due_date': '2026-12-05'}\r\n{'loan_id': 'LN-884', 'renewed_on': '2026-11-24', 'new_due_date': '2026-12-08'}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 19, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.431603814, "usage": {"input_tokens": 3515, "output_tokens": 582, "thinking_tokens": 80, "cache_read_tokens": 16240, "total_tokens": 4097}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 20, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\n# Group renewals by loan_id or process in renewed_on order globally:\n# Since renewals are for sp\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 20, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.287897915, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\n# Group renewals by loan_id or process in renewed_on order globally:\n# Since renewals are for sp\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nRenewal REJECTED for LN-906: curr_due 2026-11-01 < renewed_on 2026-11-03\r\nRenewal ACCEPTED for LN-803: 2026-11-08 -> 2026-11-19 (renewed on 2026-11-05)\r\nRenewal ACCEPTED for LN-889: 2026-11-10 -> 2026-11-24 (renewed on 2026-11-10)\r\nRenewal REJECTED for LN-740: curr_due 2026-11-06 < renewed_on 2026-11-11\r\nRenewal REJECTED for LN-989: curr_due 2026-11-10 < renewed_on 2026-11-12\r\nRenewal ACCEPTED for LN-823: 2026-11-17 -> 2026-11-29 (renewed on 2026-11-15)\r\nRenewal REJECTED for LN-793: curr_due 2026-11-19 < renewed_on 2026-11-20\r\nRenewal ACCEPTED for LN-969: 2026-11-21 -> 2026-12-05 (renewed on 2026-11-21)\r\nRenewal ACCEPTED for LN-884: 2026-11-24 -> 2026-12-08 (renewed on 2026-11-24)\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 21, "state": "DONE", "step_type": "agent_response", "duration_seconds": 5.354028167, "usage": {"input_tokens": 4596, "output_tokens": 1700, "thinking_tokens": 875, "cache_read_tokens": 16240, "total_tokens": 6296}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 22, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\nholidays \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 22, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.292470536, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\nholidays \u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nLN-707: cat=child      item=book   due=2026-11-17 ret=2026-11-30 od=10 raw=3.00 capped=3.00 fine=0.00\r\nLN-714: cat=adult      item=dvd    due=2026-11-13 ret=2026-11-30 od=13 raw=15.60 capped=12.00 fine=12.00\r\nLN-722: cat=concession item=book   due=2026-11-20 ret=2026-11-26 od= 5 raw=1.50 capped=1.50 fine=0.75\r\nLN-740: cat=adult      item=laptop due=2026-11-06 ret=2026-11-30 od=18 raw=54.00 capped=30.00 fine=30.00\r\nLN-749: cat=adult      item=dvd    due=2026-11-17 ret=2026-11-30 od=10 raw=12.00 capped=12.00 fine=12.00\r\nLN-756: cat=adult      item=book   due=2026-11-04 ret=2026-11-22 od=13 raw=3.90 capped=3.90 fine=3.90\r\nLN-775: cat=child      item=book   due=2026-11-20 ret=2026-11-21 od= 1 raw=0.30 capped=0.30 fine=0.00\r\nLN-784: cat=concession item=dvd    due=2026-11-13 ret=2026-11-28 od=12 raw=14.40 capped=12.00 fine=6.00\r\nLN-793: cat=child      item=book   due=2026-11-19 ret=2026-11-30 od= 8 raw=2.40 capped=2.40 fine=0.00\r\nLN-803: cat=concession item=book   due=2026-11-19 ret=2026-11-09 od= 0 raw=0.00 capped=0.00 fine=0.00\r\nLN-817: cat=adult      item=book   due=2026-11-05 ret=2026-11-15 od= 7 raw=2.10 capped=2.10 fine=2.10\r\nLN-823: cat=adult      item=dvd    due=2026-11-29 ret=2026-11-19 od= 0 raw=0.00 capped=0.00 fine=0.00\r\nLN-832: cat=concession item=laptop due=2026-11-12 ret=2026-11-30 od=14 raw=42.00 capped=30.00 fine=15.00\r\nLN-850: cat=concession item=book   due=2026-11-24 ret=2026-11-30 od= 5 raw=1.50 capped=1.50 fine=0.75\r\nLN-856: cat=concession item=book   due=2026-11-05 ret=2026-11-30 od=19 raw=5.70 capped=5.70 fine=2.85\r\nLN-872: cat=adult      item=book   due=2026-11-17 ret=2026-11-21 od= 3 raw=0.90 capped=0.90 fine=0.90\r\nLN-884: cat=adult      item=laptop due=2026-12-08 ret=2026-11-30 od= 0 raw=0.00 capped=0.00 fine=0.00\r\nLN-889: cat=adult      item=laptop due=2026-11-24 ret=2026-11-25 od= 1 raw=3.00 capped=3.00 fine=3.00\r\nLN-906: cat=adult      item=book   due=2026-11-01 ret=2026-11-03 od= 2 raw=0.60 capped=0.60 fine=0.60\r\nLN-910: cat=concession item=laptop due=2026-11-07 ret=2026-11-19 od= 9 raw=27.00 capped=27.00 fine=13.50\r\nLN-928: cat=adult      item=laptop due=2026-11-22 ret=2026-11-26 od= 4 raw=12.00 capped=12.00 fine=12.00\r\nLN-939: cat=adult      item=dvd    due=2026-11-21 ret=2026-11-30 od= 7 raw=8.40 capped=8.40 fine=8.40\r\nLN-945: cat=concession item=dvd    due=2026-11-06 ret=2026-11-23 od=12 raw=14.40 capped=12.00 fine=6.00\r\nLN-960: cat=adult      item=book   due=2026-11-16 ret=2026-11-19 od= 3 raw=0.90 capped=0.90 fine=0.90\r\nLN-969: cat=adult      item=book   due=2026-12-05 ret=2026-11-26 od= 0 raw=0.00 capped=0.00 fine=0.00\r\nLN-981: cat=concession item=book   due=2026-11-14 ret=2026-11-25 od= 8 raw=2.40 capped=2.40 fine=1.20\r\nLN-989: cat=child      item=laptop due=2026-11-10 ret=2026-11-27 od=14 raw=42.00 capped=30.00 fine=0.00\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 23, "state": "DONE", "step_type": "agent_response", "duration_seconds": 7.880646593, "usage": {"input_tokens": 3974, "output_tokens": 3004, "thinking_tokens": 2055, "cache_read_tokens": 20317, "total_tokens": 6978}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 24, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\nholidays \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 24, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.287847727, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\nholidays \u2026"}, "output": "Command exited with code 0.\n\nCommand output:\n{\r\n  \"overdue_days\": {\r\n    \"LN-707\": 10,\r\n    \"LN-714\": 13,\r\n    \"LN-722\": 5,\r\n    \"LN-740\": 18,\r\n    \"LN-749\": 10,\r\n    \"LN-756\": 13,\r\n    \"LN-775\": 1,\r\n    \"LN-784\": 12,\r\n    \"LN-793\": 8,\r\n    \"LN-817\": 7,\r\n    \"LN-832\": 14,\r\n    \"LN-850\": 5,\r\n    \"LN-856\": 19,\r\n    \"LN-872\": 3,\r\n    \"LN-889\": 1,\r\n    \"LN-906\": 2,\r\n    \"LN-910\": 9,\r\n    \"LN-928\": 4,\r\n    \"LN-939\": 7,\r\n    \"LN-945\": 12,\r\n    \"LN-960\": 3,\r\n    \"LN-981\": 8,\r\n    \"LN-989\": 14\r\n  },\r\n  \"fines\": {\r\n    \"LN-714\": 12.0,\r\n    \"LN-722\": 0.75,\r\n    \"LN-740\": 30.0,\r\n    \"LN-749\": 12.0,\r\n    \"LN-756\": 3.9,\r\n    \"LN-784\": 6.0,\r\n    \"LN-817\": 2.1,\r\n    \"LN-832\": 15.0,\r\n    \"LN-850\": 0.75,\r\n    \"LN-856\": 2.85,\r\n    \"LN-872\": 0.9,\r\n    \"LN-889\": 3.0,\r\n    \"LN-906\": 0.6,\r\n    \"LN-910\": 13.5,\r\n    \"LN-928\": 12.0,\r\n    \"LN-939\": 8.4,\r\n    \"LN-945\": 6.0,\r\n    \"LN-960\": 0.9,\r\n    \"LN-981\": 1.2\r\n  },\r\n  \"member_totals\": {\r\n    \"LM-2069\": 42.0,\r\n    \"LM-2108\": 7.5,\r\n    \"LM-2001\": 24.3,\r\n    \"LM-2137\": 6.0,\r\n    \"LM-2041\": 2.7,\r\n    \"LM-2117\": 32.55,\r\n    \"LM-2052\": 13.8,\r\n    \"LM-2034\": 3.0\r\n  },\r\n  \"total\": 131.85\r\n}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 25, "state": "DONE", "step_type": "agent_response", "duration_seconds": 15.503478011, "usage": {"input_tokens": 7780, "output_tokens": 7265, "thinking_tokens": 7156, "cache_read_tokens": 20332, "total_tokens": 15045}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 26, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json\nfrom decimal import Decimal\n\nval = float(Decimal('131.85'))\nprint(val)\nprint(json.dumps({'total': val}))\nval2 = float(Decimal('32.55'))\nprint(json.dumps({'val2': val2}))\n\""}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 26, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.329563423, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json\nfrom decimal import Decimal\n\nval = float(Decimal('131.85'))\nprint(val)\nprint(json.dumps({'total': val}))\nval2 = float(Decimal('32.55'))\nprint(json.dumps({'val2': val2}))\n\""}, "output": "Command exited with code 0.\n\nCommand output:\n131.85\r\n{\"total\": 131.85}\r\n{\"val2\": 32.55}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 27, "state": "DONE", "step_type": "agent_response", "duration_seconds": 1.7782667920000002, "usage": {"input_tokens": 11065, "output_tokens": 176, "thinking_tokens": 137, "cache_read_tokens": 24428, "total_tokens": 11241}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 28, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la out/"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 28, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.282274385, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la out/"}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 8\r\ndrwxr-xr-x 2 bob bob 4096 Oct 23 05:55 .\r\ndrwxr-xr-x 4 bob bob 4096 Oct 23 05:55 ..\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 29, "state": "DONE", "step_type": "agent_response", "duration_seconds": 7.240970141, "usage": {"input_tokens": 3248, "output_tokens": 3057, "thinking_tokens": 2069, "cache_read_tokens": 32564, "total_tokens": 6305}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 30, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\nholidays \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 30, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.379645712, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\nholidays \u2026"}, "output": "Command exited with code 1.\n\nThere were sandbox errors that may or may not be related to the failure. If you think the failure is because of running in the sandbox, you can run the command again with `BypassSandbox` set to true to request explicit user permission.\n\nCommand output:\nTraceback (most recent call last):\r\n  File \"<string>\", line 90, in <module>\r\n    with open('out/fines.json', 'w') as f:\r\n         ~~~~^^^^^^^^^^^^^^^^^^^^^^^\r\nOSError: [Errno 30] Read-only file system: 'out/fines.json'\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 31, "state": "DONE", "step_type": "agent_response", "duration_seconds": 3.9269366249999997, "usage": {"input_tokens": 6509, "output_tokens": 1087, "thinking_tokens": 121, "cache_read_tokens": 32572, "total_tokens": 7596}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 32, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\nholidays \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 32, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.305670165, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json, csv\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open('library.json') as f:\n    lib = json.load(f)\n\nwith open('members.csv') as f:\n    members = {row['member_id']: row['category'] for row in csv.DictReader(f)}\n\nwith open('renewals.csv') as f:\n    renewals = list(csv.DictReader(f))\n\nwith open('loans.csv') as f:\n    loans = list(csv.DictReader(f))\n\nas_of = date.fromisoformat(lib['as_of'])\nclosed_weekdays = set(lib['closed_weekdays'])\nholidays \u2026"}, "output": "Command exited with code 0.\n\nCommand output:\n{\r\n  \"overdue_days\": {\r\n    \"LN-707\": 10,\r\n    \"LN-714\": 13,\r\n    \"LN-722\": 5,\r\n    \"LN-740\": 18,\r\n    \"LN-749\": 10,\r\n    \"LN-756\": 13,\r\n    \"LN-775\": 1,\r\n    \"LN-784\": 12,\r\n    \"LN-793\": 8,\r\n    \"LN-817\": 7,\r\n    \"LN-832\": 14,\r\n    \"LN-850\": 5,\r\n    \"LN-856\": 19,\r\n    \"LN-872\": 3,\r\n    \"LN-889\": 1,\r\n    \"LN-906\": 2,\r\n    \"LN-910\": 9,\r\n    \"LN-928\": 4,\r\n    \"LN-939\": 7,\r\n    \"LN-945\": 12,\r\n    \"LN-960\": 3,\r\n    \"LN-981\": 8,\r\n    \"LN-989\": 14\r\n  },\r\n  \"fines\": {\r\n    \"LN-714\": 12.0,\r\n    \"LN-722\": 0.75,\r\n    \"LN-740\": 30.0,\r\n    \"LN-749\": 12.0,\r\n    \"LN-756\": 3.9,\r\n    \"LN-784\": 6.0,\r\n    \"LN-817\": 2.1,\r\n    \"LN-832\": 15.0,\r\n    \"LN-850\": 0.75,\r\n    \"LN-856\": 2.85,\r\n    \"LN-872\": 0.9,\r\n    \"LN-889\": 3.0,\r\n    \"LN-906\": 0.6,\r\n    \"LN-910\": 13.5,\r\n    \"LN-928\": 12.0,\r\n    \"LN-939\": 8.4,\r\n    \"LN-945\": 6.0,\r\n    \"LN-960\": 0.9,\r\n    \"LN-981\": 1.2\r\n  },\r\n  \"member_totals\": {\r\n    \"LM-2069\": 42.0,\r\n    \"LM-2108\": 7.5,\r\n    \"LM-2001\": 24.3,\r\n    \"LM-2137\": 6.0,\r\n    \"LM-2041\": 2.7,\r\n    \"LM-2117\": 32.55,\r\n    \"LM-2052\": 13.8,\r\n    \"LM-2034\": 3.0\r\n  },\r\n  \"total\": 131.85\r\n}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 33, "state": "DONE", "step_type": "agent_response", "duration_seconds": 4.035308152, "usage": {"input_tokens": 4340, "output_tokens": 860, "thinking_tokens": 58, "cache_read_tokens": 36645, "total_tokens": 5200}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 34, "state": "ACTIVE", "step_type": "tool", "tool_name": "write_file", "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-3.8-flash-medium/b29h01/work/out/fines.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 34, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 0.039927837, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-3.8-flash-medium/b29h01/work/out/fines.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 35, "state": "DONE", "step_type": "agent_response", "duration_seconds": 5.062151138, "usage": {"input_tokens": 5280, "output_tokens": 74, "thinking_tokens": 13, "cache_read_tokens": 36641, "total_tokens": 5354}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 36, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-3.8-flash-medium/b29h01/work/out/fines.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 36, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.031986011, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-3.8-flash-medium/b29h01/work/out/fines.json"}, "output": "59 lines, 1024 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 37, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.186115369, "usage": {"input_tokens": 2270, "output_tokens": 64, "thinking_tokens": 28, "cache_read_tokens": 40709, "total_tokens": 2334}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 38, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "git status"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 38, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.285582617, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "git status"}, "output": "Command exited with code 128.\n\nCommand output:\nfatal: not a git repository (or any parent up to mount point /)\r\nStopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 39, "state": "DONE", "step_type": "agent_response", "duration_seconds": 1.6720399110000002, "usage": {"input_tokens": 2466, "output_tokens": 72, "thinking_tokens": 25, "cache_read_tokens": 40701, "total_tokens": 2538}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 40, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la && ls -la ask && ls -la out"}}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 40, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.278214153, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la && ls -la ask && ls -la out"}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 40\r\ndrwxr-xr-x 4 bob bob 4096 Oct 23 05:55 .\r\ndrwxrwxr-x 3 bob bob 4096 Oct 23 05:55 ..\r\n-rw-r--r-- 1 bob bob 1710 Oct 23 05:55 TASK.md\r\ndrwxr-xr-x 2 bob bob 4096 Oct 23 05:55 ask\r\n-rw-r--r-- 1 bob bob  168 Oct 23 05:55 desk-note.txt\r\n-rw-r--r-- 1 bob bob  334 Oct 23 05:55 library.json\r\n-rw-r--r-- 1 bob bob 1119 Oct 23 05:55 loans.csv\r\n-rw-r--r-- 1 bob bob  200 Oct 23 05:55 members.csv\r\ndrwxr-xr-x 2 bob bob 4096 Oct 23 05:57 out\r\n-rw-r--r-- 1 bob bob  303 Oct 23 05:55 renewals.csv\r\ntotal 8\r\ndrwxr-xr-x 2 bob bob 4096 Oct 23 05:55 .\r\ndrwxr-xr-x 4 bob bob 4096 Oct 23 05:55 ..\r\ntotal 12\r\ndrwxr-xr-x 2 bob bob 4096 Oct 23 05:57 .\r\ndrwxr-xr-x 4 bob bob 4096 Oct 23 05:55 ..\r\n-rw-r--r-- 1 bob bob 1024 Oct 23 05:57 fines.json\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "The"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " overdue fines for November have bee"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "n computed according to the library rules and wr"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "itten to [out/fines.json"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "](file:///home/bob/useca"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "se-runs/b2930/out/agy/gemini-3.8-fla"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "sh-medium/b29h01/work/ou"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "t/fines.json).\n\n### Summary of Resul"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ts\n- **Overdue Loans**: "}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "23 loans had at least on"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "e overdue day.\n- **Fined Loans**: 19"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " loans incurred non-zero fines (child loans incur \u00a30.00).\n- **Members w"}}
{"event": "step_update", "step_update": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "step_index": 41, "state": "DONE", "step_type": "agent_response", "text_delta": "ith Fines**: 8 members have outstanding fines.\n- **Total Outstanding Fines**: \u00a3131.85.\n", "duration_seconds": 2.62644227, "usage": {"input_tokens": 3066, "output_tokens": 485, "thinking_tokens": 333, "cache_read_tokens": 40695, "total_tokens": 3551}}}
{"event": "result", "result": {"conversation_id": "9cc008f5-dbc9-43e6-b251-d5a3cf9c3b79", "status": "SUCCESS", "response": "The overdue fines for November have been computed according to the library rules and written to [out/fines.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-3.8-flash-medium/b29h01/work/out/fines.json).\n\n### Summary of Results\n- **Overdue Loans**: 23 loans had at least one overdue day.\n- **Fined Loans**: 19 loans incurred non-zero fines (child loans incur \u00a30.00).\n- **Members with Fines**: 8 members have outstanding fines.\n- **Total Outstanding Fines**: \u00a3131.85.\n", "duration_seconds": 94.385679833, "num_turns": 1, "usage": {"input_tokens": 157907, "output_tokens": 25919, "thinking_tokens": 19458, "cache_read_tokens": 358084, "total_tokens": 183826}}}

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