Gemini 4 Argon (effort medium · thinking on) on Work out a library's overdue fines from loans, renewals, closed days and member categories
GGemini 4 Argonmedium · thinking on · Antigravity CLI 1.4.5 (agy -p) · cloud · 2026-10-23 · by @bobsiopener
- Estimated cost
- $0.09
- Wall time
- 1m
- 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-4-argon-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-4-argon-medium (effort medium); priced at the base model row gemini-4-argon (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 8 (0 failed). Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.09
- Wall time
- 1m
- Human step-ins
- 0
- Turns
- 5
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on | 60,738 | 4,379 | $0.09 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Gemini 4 Argon (google/gemini-4-argon, effort medium · thinking on) via
Antigravity CLI 1.4.5 (agy -p), cloud. - It counts as a success only if it meets every success criterion: overdue_days renewals fines totals
- 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
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
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{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 5.600502034, "usage": {"input_tokens": 8269, "output_tokens": 304, "thinking_tokens": 12, "cache_read_tokens": 0, "total_tokens": 8573}}}
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{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 3, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h01/work/desk-note.txt"}}}}
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{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 5, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.085460937, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h01/work/renewals.csv"}, "output": "10 lines, 303 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 6, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h01/work/members.csv"}}}}
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{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 7, "state": "DONE", "step_type": "agent_response", "duration_seconds": 17.177887436, "usage": {"input_tokens": 2478, "output_tokens": 1067, "thinking_tokens": 33, "cache_read_tokens": 8270, "total_tokens": 3545}}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 8, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\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\nas_of = date.fromisoformat(lib[\"as_of\"])\nclosed_weekdays = set(lib[\"closed_weekdays\"]) # e.g. \"Sun\"\nholidays = {date.fromisoformat(h) for h in lib[\"holidays\"]}\nconcession_share_pct = Decimal(str(lib[\"concession_share_pct\"]))\nrates = {\n k: {\n \"daily\": Decimal(v[\"daily\"]),\n \"max_fine\": Decimal(v[\"max_fine\"])\n }\n for k, v i\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 8, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.07084772, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\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\nas_of = date.fromisoformat(lib[\"as_of\"])\nclosed_weekdays = set(lib[\"closed_weekdays\"]) # e.g. \"Sun\"\nholidays = {date.fromisoformat(h) for h in lib[\"holidays\"]}\nconcession_share_pct = Decimal(str(lib[\"concession_share_pct\"]))\nrates = {\n k: {\n \"daily\": Decimal(v[\"daily\"]),\n \"max_fine\": Decimal(v[\"max_fine\"])\n }\n for k, v i\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 96, 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": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 9, "state": "DONE", "step_type": "agent_response", "duration_seconds": 12.599490621, "usage": {"input_tokens": 3325, "output_tokens": 1062, "thinking_tokens": 112, "cache_read_tokens": 8699, "total_tokens": 4387}}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 10, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\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\nas_of = date.fromisoformat(lib[\"as_of\"])\nclosed_weekdays = set(lib[\"closed_weekdays\"])\nholidays = {date.fromisoformat(h) for h in lib[\"holidays\"]}\nconcession_share_pct = Decimal(str(lib[\"concession_share_pct\"]))\nrates = {\n k: {\n \"daily\": Decimal(v[\"daily\"]),\n \"max_fine\": Decimal(v[\"max_fine\"])\n }\n for k, v in lib[\"rates\"\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 10, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.906277705, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\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\nas_of = date.fromisoformat(lib[\"as_of\"])\nclosed_weekdays = set(lib[\"closed_weekdays\"])\nholidays = {date.fromisoformat(h) for h in lib[\"holidays\"]}\nconcession_share_pct = Decimal(str(lib[\"concession_share_pct\"]))\nrates = {\n k: {\n \"daily\": Decimal(v[\"daily\"]),\n \"max_fine\": Decimal(v[\"max_fine\"])\n }\n for k, v in lib[\"rates\"\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"}}}
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{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 12, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 1.3218765239999999, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h01/work/out/fines.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "I"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " have calculated the overdue fines f"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "or November "}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "according to the rules a"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "nd [library.json](file:/"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "//home/bob/u"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "secase-runs/b"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "2930/out/agy/gemini-4-argon-medium/b"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "29h01/"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "work/library.json) and written the r"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "esults to [out/fines.jso"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "n](file:///h"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ome/bob"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/usecase-runs/b2930/out/"}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "agy/gemini-4-argon-medium/b29h01/work/out/fines.json)."}}
{"event": "step_update", "step_update": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "step_index": 13, "state": "DONE", "step_type": "agent_response", "text_delta": "\n", "duration_seconds": 3.938722349, "usage": {"input_tokens": 2704, "output_tokens": 141, "thinking_tokens": 19, "cache_read_tokens": 13087, "total_tokens": 2845}}}
{"event": "result", "result": {"conversation_id": "b6c59d6f-4b69-4c70-9d20-877acdfed8ed", "status": "SUCCESS", "response": "I have calculated the overdue fines for November according to the rules and [library.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h01/work/library.json) and written the results to [out/fines.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h01/work/out/fines.json).\n", "duration_seconds": 66.575756444, "num_turns": 1, "usage": {"input_tokens": 19897, "output_tokens": 4379, "thinking_tokens": 1177, "cache_read_tokens": 40841, "total_tokens": 24276}}}