Gemini 4 Argon (effort medium · thinking on) on Work out late-payment interest and compensation from part payments, credit notes and a base-rate change

GGemini 4 Argonmedium · thinking on · Antigravity CLI 1.4.6 (agy -p) · cloud · 2026-10-23 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.16
Wall time: 2m
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Work out a design studio's late-payment interest and compensation Inputs: `invoices.csv` (inv_id, client, issued, due, amount), `credits.csv` (inv_id, amount), `payments.csv` (payment_id, client, paid_on, amount), `base-rates.csv` (from_date, rate), `terms.json` and `bookkeeper-note.txt`. Amounts are in pounds. `terms.json` and these rules are the record; where the bookkeeper's note disagrees, the rules win. Rules: - Clients match ignoring letter case and surrounding spaces; report them in upper case. A credit note reduces its invoice's amount from the start. - Payments are applied in paid_on order (ties by payment_id), each to the client's invoices with the earliest due date first (ties by the invoice number), filling one before the next; anything left over is unapplied. - Interest accrues for each day after the due date up to and including as_of on the amount still unpaid at the end of that day, at (statutory_pct + the base rate in force on that day) percent a year, divided by 365; each invoice's interest is rounded half-up to 0.01 once, at the end. - An invoice still unpaid at as_of, or paid in full only after its due date, earns one compensation fee from the first terms.json band whose `below` is more than its amount after credit notes (`below` null is the top band); an invoice paid in full on or before its due date earns none. - Write `out/late-payment.json`: `{"balances": {"<inv_id>": <unpaid at as_of>, ...}, "unapplied": {"<CLIENT>": <amount>, ...}, "interest": {"<inv_id>": <interest>, ...}, "compensation": {"<inv_id>": <fee>, ...}, "client_totals": {"<CLIENT>": <balances + interest + compensation>, ...}}`. `balances` and `client_totals` cover every invoice and client; the other maps list only amounts 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: allocation interest compensation client_totals

Setup notes: batch30 case o03-late-payment-interest (offline fixture). Prepared with batch30/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 2068431190): 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 11 (0 failed). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost: $0.16
Wall time: 2m
Human step-ins: 0
Turns: 7

Model usage
Model	Input tok	Output tok	Cost
GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on	109,011	10,624	$0.16

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 1.4.6 (agy -p), cloud.
It counts as a success only if it meets every success criterion: allocation interest compensation client_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": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 0, "state": "DONE", "step_type": "user_input"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 19.44319519, "usage": {"input_tokens": 8457, "output_tokens": 411, "thinking_tokens": 60, "cache_read_tokens": 0, "total_tokens": 8868}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 2, "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/b30o03/work/invoices.csv"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 2, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 2.238725717, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/invoices.csv"}, "output": "11 lines, 566 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "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/b30o03/work/credits.csv"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 3, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 1.794468287, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/credits.csv"}, "output": "5 lines, 75 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 4, "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/b30o03/work/payments.csv"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 4, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 1.352597899, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/payments.csv"}, "output": "9 lines, 374 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 5, "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/b30o03/work/base-rates.csv"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 5, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.768324178, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/base-rates.csv"}, "output": "3 lines, 47 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "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/b30o03/work/terms.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 6, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.317117771, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/terms.json"}, "output": "18 lines, 218 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 7, "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/b30o03/work/bookkeeper-note.txt"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 7, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.036741489, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/bookkeeper-note.txt"}, "output": "2 lines, 204 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 8, "state": "DONE", "step_type": "agent_response", "duration_seconds": 16.914311366, "usage": {"input_tokens": 2683, "output_tokens": 1351, "thinking_tokens": 1029, "cache_read_tokens": 7743, "total_tokens": 4034}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 9, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\n\nwith open(\"invoices.csv\") as f:\n    invs = list(csv.DictReader(f))\nwith open(\"credits.csv\") as f:\n    creds = list(csv.DictReader(f))\nwith open(\"payments.csv\") as f:\n    pays = list(csv.DictReader(f))\n\ncred_map = {}\nfor c in creds:\n    cred_map[c[\"inv_id\"]] = cred_map.get(c[\"inv_id\"], 0) + float(c[\"amount\"])\n\nfor i in invs:\n    c = cred_map.get(i[\"inv_id\"], 0)\n    print(i[\"client\"].strip().upper(), i[\"inv_id\"], \"issued:\", i[\"issued\"], \"due:\", i[\"due\"], \"amt:\", i[\"amount\"], \"cr\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 9, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.127977462, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\n\nwith open(\"invoices.csv\") as f:\n    invs = list(csv.DictReader(f))\nwith open(\"credits.csv\") as f:\n    creds = list(csv.DictReader(f))\nwith open(\"payments.csv\") as f:\n    pays = list(csv.DictReader(f))\n\ncred_map = {}\nfor c in creds:\n    cred_map[c[\"inv_id\"]] = cred_map.get(c[\"inv_id\"], 0) + float(c[\"amount\"])\n\nfor i in invs:\n    c = cred_map.get(i[\"inv_id\"], 0)\n    print(i[\"client\"].strip().upper(), i[\"inv_id\"], \"issued:\", i[\"issued\"], \"due:\", i[\"due\"], \"amt:\", i[\"amount\"], \"cr\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nNORTHGATE DENTAL INV-110 issued: 2026-08-16 due: 2026-09-15 amt: 5536.79 cred: 0 net: 5536.79\r\nPELLOW & SONS INV-107 issued: 2026-07-30 due: 2026-08-29 amt: 903.29 cred: 0 net: 903.29\r\nKESTREL BOOKS INV-96 issued: 2026-09-02 due: 2026-10-02 amt: 908.68 cred: 82.23 net: 826.45\r\nPELLOW & SONS INV-103 issued: 2026-08-12 due: 2026-09-11 amt: 402.03 cred: 257.12 net: 144.91\r\nKESTREL BOOKS INV-95 issued: 2026-07-25 due: 2026-08-24 amt: 1011.51 cred: 58.26 net: 953.25\r\nPELLOW & SONS INV-102 issued: 2026-09-11 due: 2026-10-11 amt: 840.20 cred: 0 net: 840.2\r\nNORTHGATE DENTAL INV-108 issued: 2026-08-08 due: 2026-09-07 amt: 1107.80 cred: 133.33 net: 974.47\r\nNORTHGATE DENTAL INV-112 issued: 2026-07-22 due: 2026-08-21 amt: 851.74 cred: 0 net: 851.74\r\nKESTREL BOOKS INV-99 issued: 2026-09-04 due: 2026-10-04 amt: 642.48 cred: 0 net: 642.48\r\nPELLOW & SONS INV-104 issued: 2026-08-28 due: 2026-09-27 amt: 3657.86 cred: 0 net: 3657.86\r\n---\r\nNORTHGATE DENTAL PAY-006 2026-08-21 851.74\r\nKESTREL BOOKS PAY-001 2026-08-24 5573.30\r\nPELLOW & SONS PAY-003 2026-08-29 903.29\r\nPELLOW & SONS PAY-004 2026-09-17 391.31\r\nPELLOW & SONS PAY-005 2026-09-24 669.33\r\nNORTHGATE DENTAL PAY-007 2026-09-26 1374.11\r\nNORTHGATE DENTAL PAY-008 2026-09-30 766.64\r\nKESTREL BOOKS PAY-002 2026-10-11 1696.05\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 10, "state": "DONE", "step_type": "agent_response", "duration_seconds": 29.847479817, "usage": {"input_tokens": 2265, "output_tokens": 2691, "thinking_tokens": 1823, "cache_read_tokens": 10427, "total_tokens": 4956}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 11, "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(\"terms.json\") as f:\n    terms = json.load(f)\n\nas_of = date.fromisoformat(terms[\"as_of\"])\nstat_pct = Decimal(str(terms[\"statutory_pct\"]))\n\nbase_rates = []\nwith open(\"base-rates.csv\") as f:\n    for row in csv.DictReader(f):\n        base_rates.append((date.fromisoformat(row[\"from_date\"]), Decimal(row[\"rate\"])))\nbase_rates.sort(key=lambda x: x[0])\n\ndef get_base_rate(d):\n    r = Decimal(\"0\")\n \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 11, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.4389609079999999, "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(\"terms.json\") as f:\n    terms = json.load(f)\n\nas_of = date.fromisoformat(terms[\"as_of\"])\nstat_pct = Decimal(str(terms[\"statutory_pct\"]))\n\nbase_rates = []\nwith open(\"base-rates.csv\") as f:\n    for row in csv.DictReader(f):\n        base_rates.append((date.fromisoformat(row[\"from_date\"]), Decimal(row[\"rate\"])))\nbase_rates.sort(key=lambda x: x[0])\n\ndef get_base_rate(d):\n    r = Decimal(\"0\")\n \u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nINV-110 NORTHGATE DENTAL due: 2026-09-15 init: 5536.79 payments: [(datetime.date(2026, 9, 26), Decimal('399.64')), (datetime.date(2026, 9, 30), Decimal('766.64'))]\r\nINV-107 PELLOW & SONS due: 2026-08-29 init: 903.29 payments: [(datetime.date(2026, 8, 29), Decimal('903.29'))]\r\nINV-96 KESTREL BOOKS due: 2026-10-02 init: 826.45 payments: [(datetime.date(2026, 8, 24), Decimal('826.45'))]\r\nINV-103 PELLOW & SONS due: 2026-09-11 init: 144.91 payments: [(datetime.date(2026, 9, 17), Decimal('144.91'))]\r\nINV-95 KESTREL BOOKS due: 2026-08-24 init: 953.25 payments: [(datetime.date(2026, 8, 24), Decimal('953.25'))]\r\nINV-102 PELLOW & SONS due: 2026-10-11 init: 840.20 payments: []\r\nINV-108 NORTHGATE DENTAL due: 2026-09-07 init: 974.47 payments: [(datetime.date(2026, 9, 26), Decimal('974.47'))]\r\nINV-112 NORTHGATE DENTAL due: 2026-08-21 init: 851.74 payments: [(datetime.date(2026, 8, 21), Decimal('851.74'))]\r\nINV-99 KESTREL BOOKS due: 2026-10-04 init: 642.48 payments: [(datetime.date(2026, 8, 24), Decimal('642.48'))]\r\nINV-104 PELLOW & SONS due: 2026-09-27 init: 3657.86 payments: [(datetime.date(2026, 9, 17), Decimal('246.40')), (datetime.date(2026, 9, 24), Decimal('669.33'))]\r\nUnapplied: {'KESTREL BOOKS': Decimal('4847.17')}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 12, "state": "DONE", "step_type": "agent_response", "duration_seconds": 25.001712178, "usage": {"input_tokens": 3436, "output_tokens": 2487, "thinking_tokens": 938, "cache_read_tokens": 12693, "total_tokens": 5923}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 13, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json, os\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open(\"terms.json\") as f:\n    terms = json.load(f)\n\nas_of = date.fromisoformat(terms[\"as_of\"])\nstat_pct = Decimal(str(terms[\"statutory_pct\"]))\ncomp_bands = terms[\"compensation\"]\n\nbase_rates = []\nwith open(\"base-rates.csv\") as f:\n    for row in csv.DictReader(f):\n        base_rates.append((date.fromisoformat(row[\"from_date\"].strip()), Decimal(row[\"rate\"].strip())))\nbase_rates.sort(key=lambda\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 13, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.655524051, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json, os\nfrom datetime import date, timedelta\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open(\"terms.json\") as f:\n    terms = json.load(f)\n\nas_of = date.fromisoformat(terms[\"as_of\"])\nstat_pct = Decimal(str(terms[\"statutory_pct\"]))\ncomp_bands = terms[\"compensation\"]\n\nbase_rates = []\nwith open(\"base-rates.csv\") as f:\n    for row in csv.DictReader(f):\n        base_rates.append((date.fromisoformat(row[\"from_date\"].strip()), Decimal(row[\"rate\"].strip())))\nbase_rates.sort(key=lambda\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\n{\r\n  \"balances\": {\r\n    \"INV-110\": 4370.51,\r\n    \"INV-107\": 0.0,\r\n    \"INV-96\": 0.0,\r\n    \"INV-103\": 0.0,\r\n    \"INV-95\": 0.0,\r\n    \"INV-102\": 840.2,\r\n    \"INV-108\": 0.0,\r\n    \"INV-112\": 0.0,\r\n    \"INV-99\": 0.0,\r\n    \"INV-104\": 2742.13\r\n  },\r\n  \"unapplied\": {\r\n    \"KESTREL BOOKS\": 4847.17\r\n  },\r\n  \"interest\": {\r\n    \"INV-110\": 114.53,\r\n    \"INV-103\": 0.24,\r\n    \"INV-102\": 13.81,\r\n    \"INV-108\": 5.89,\r\n    \"INV-104\": 57.72\r\n  },\r\n  \"compensation\": {\r\n    \"INV-110\": 70.0,\r\n    \"INV-103\": 40.0,\r\n    \"INV-102\": 40.0,\r\n    \"INV-108\": 40.0,\r\n    \"INV-104\": 70.0\r\n  },\r\n  \"client_totals\": {\r\n    \"KESTREL BOOKS\": 0.0,\r\n    \"NORTHGATE DENTAL\": 4600.93,\r\n    \"PELLOW & SONS\": 3804.1\r\n  }\r\n}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 14, "state": "DONE", "step_type": "agent_response", "duration_seconds": 8.228129799, "usage": {"input_tokens": 2987, "output_tokens": 585, "thinking_tokens": 101, "cache_read_tokens": 16130, "total_tokens": 3572}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 15, "state": "ACTIVE", "step_type": "tool", "tool_name": "write_file", "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/out/late-payment.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 15, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 0.918282454, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/out/late-payment.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 16, "state": "DONE", "step_type": "agent_response", "duration_seconds": 25.106821567, "usage": {"input_tokens": 2714, "output_tokens": 2543, "thinking_tokens": 2059, "cache_read_tokens": 17068, "total_tokens": 5257}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 17, "state": "ACTIVE", "step_type": "tool", "tool_name": "write_file", "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/out/late-payment.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 17, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 1.041739143, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/out/late-payment.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Late-payment balances, unapplied pay"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ments, daily"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " statutory interest, com"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "pensation"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " fees, and client totals as of `2026"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-11-30` have"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " been computed and writt"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "en"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " to [late-payment.json](file:///home"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/bob/usecase"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-runs/b2930"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/out/agy/gemini-4-argon-"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "medium/b30o03/work/out/"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "late-payment.json).\n\n### Summary of "}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Results\n- **"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "KESTREL BOOKS**: All inv"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "oices (`INV-"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "95`, "}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`INV-96`, `INV-99`) were"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " cleared before their du"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "e dates (`0."}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "00` balance, `0"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".00` total), leaving `4847.17` in unapplied paym"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ents.\n- **NO"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "RTH"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "GATE DENTAL**:\n  - `INV-112`: Paid o"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "n its due date (`0.00"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` balance, no interest or compensati"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "on).\n  - `IN"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "V-108` (`974.47"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` after credit): Paid la"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "te on `2026-09-26` (`0.0"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "0` balance, "}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`5"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".89` interest, `40.00` compensation)"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".\n  - `INV-1"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "10"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` (`5536.79`): Partially paid (`4370"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".51` balance, `114.53"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` interest, `70.00` compensation).\n "}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " - **Client "}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Total**: `4600"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".93`\n- **PELLOW & SONS**:\n  - `INV-1"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "07`: Paid on"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " its due date (`0.00` balance, no in"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "terest or compensation)."}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n  - `INV-10"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "3` (`144.91` after credi"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "t): Paid late on `2026-0"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "9"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-17` (`0.00` balance, `0.24` interes"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "t, `40."}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "00` compensation).\n  - `INV-104` (`3"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "657.86`):"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " Partially paid before due date (`27"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "42.13` balan"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ce, `57.72` interest"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ", `70.00` compensation).\n  - `INV-10"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "2` (`840"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".20`): Unpaid (`840.20` balance, `13"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".81` interest"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ", `40.00` compensation)."}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n  - **Client Total**: `"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "3804.1"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "0`"}}
{"event": "step_update", "step_update": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "step_index": 18, "state": "DONE", "step_type": "agent_response", "text_delta": "\n", "duration_seconds": 10.985773058, "usage": {"input_tokens": 2625, "output_tokens": 556, "thinking_tokens": 13, "cache_read_tokens": 19783, "total_tokens": 3181}}}
{"event": "result", "result": {"conversation_id": "5b95aeb1-4c73-4aad-9163-b7062b0ea517", "status": "SUCCESS", "response": "Late-payment balances, unapplied payments, daily statutory interest, compensation fees, and client totals as of `2026-11-30` have been computed and written to [late-payment.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o03/work/out/late-payment.json).\n\n### Summary of Results\n- **KESTREL BOOKS**: All invoices (`INV-95`, `INV-96`, `INV-99`) were cleared before their due dates (`0.00` balance, `0.00` total), leaving `4847.17` in unapplied payments.\n- **NORTHGATE DENTAL**:\n  - `INV-112`: Paid on its due date (`0.00` balance, no interest or compensation).\n  - `INV-108` (`974.47` after credit): Paid late on `2026-09-26` (`0.00` balance, `5.89` interest, `40.00` compensation).\n  - `INV-110` (`5536.79`): Partially paid (`4370.51` balance, `114.53` interest, `70.00` compensation).\n  - **Client Total**: `4600.93`\n- **PELLOW & SONS**:\n  - `INV-107`: Paid on its due date (`0.00` balance, no interest or compensation).\n  - `INV-103` (`144.91` after credit): Paid late on `2026-09-17` (`0.00` balance, `0.24` interest, `40.00` compensation).\n  - `INV-104` (`3657.86`): Partially paid before due date (`2742.13` balance, `57.72` interest, `70.00` compensation).\n  - `INV-102` (`840.20`): Unpaid (`840.20` balance, `13.81` interest, `40.00` compensation).\n  - **Client Total**: `3804.10`\n", "duration_seconds": 141.598512857, "num_turns": 1, "usage": {"input_tokens": 25167, "output_tokens": 10624, "thinking_tokens": 6023, "cache_read_tokens": 83844, "total_tokens": 35791}}}