Gemini 4 Argon (effort medium · thinking on) on Work out a care home's fortnightly pay from shifts that span the night the clocks go back

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: $0.09
Wall time: 2m
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Work out a care home's pay for two weeks of shifts Inputs: `shifts.csv` (shift_id, worker_id, start, end, status), `workers.csv` (worker_id, name, hourly_rate), `pay-rules.json` and `rota-note.txt`. Amounts are in pounds. `pay-rules.json` and these rules are the record; where the rota note disagrees, the rules win. Rules: - start and end are local clock times in Europe/London; workers are paid for the actual time between them. - Shifts whose status is cancelled are not paid. - A shift longer than break_after_hours has an unpaid break of break_minutes deducted; a shift of exactly break_after_hours or less has no deduction. - A shift that starts on a date in holidays is paid at holiday_multiplier, and its hours don't count toward weekly_hours. - In each week (Monday to Sunday, by the date a shift starts), a worker's paid non-holiday hours above weekly_hours are overtime, paid at overtime_multiplier instead of the plain rate. - Write `out/payroll.json`: `{"paid_hours": {"<shift_id>": <hours after any break>, ...}, "overtime_hours": {"<worker_id>": <overtime hours over both weeks>, ...}, "pay": {"<worker_id>": <pay>, ...}, "total": <sum of pay>}`. `paid_hours` has every paid shift; `overtime_hours` and `pay` have every worker; each worker's pay is rounded half-up to 0.01 once, at the end. ## 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: actual_hours breaks overtime pay

Setup notes: batch29 case h03-care-home-timesheets (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 1630817727): 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: 2m
Human step-ins: 0
Turns: 6

Model usage
Model	Input tok	Output tok	Cost
GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on	80,603	4,267	$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 1.4.6 (agy -p), cloud.
It counts as a success only if it meets every success criterion: actual_hours breaks overtime pay
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": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 5.119336277, "usage": {"input_tokens": 8358, "output_tokens": 317, "thinking_tokens": 81, "cache_read_tokens": 0, "total_tokens": 8675}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "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/b29h03/work/shifts.csv"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 2, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.84801872, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h03/work/shifts.csv"}, "output": "41 lines, 2240 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "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/b29h03/work/workers.csv"}}}}
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{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "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/b29h03/work/pay-rules.json"}}}}
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{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "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/b29h03/work/rota-note.txt"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 5, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.049867884, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h03/work/rota-note.txt"}, "output": "2 lines, 168 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 6, "state": "DONE", "step_type": "agent_response", "duration_seconds": 14.824429429, "usage": {"input_tokens": 2913, "output_tokens": 1258, "thinking_tokens": 298, "cache_read_tokens": 8359, "total_tokens": 4171}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 7, "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 datetime\nfrom zoneinfo import ZoneInfo\nfrom decimal import Decimal, ROUND_HALF_UP\n\ntz = ZoneInfo(\"Europe/London\")\n\nwith open(\"pay-rules.json\") as f:\n    rules = json.load(f)\n\nweekly_hours = Decimal(str(rules[\"weekly_hours\"]))\novertime_mult = Decimal(str(rules[\"overtime_multiplier\"]))\nholiday_mult = Decimal(str(rules[\"holiday_multiplier\"]))\nbreak_after = Decimal(str(rules[\"break_after_hours\"]))\nbreak_hours = Decimal(str(rules[\"break_minutes\"])) / Decimal\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 7, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.341191483, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json, os\nfrom datetime import datetime\nfrom zoneinfo import ZoneInfo\nfrom decimal import Decimal, ROUND_HALF_UP\n\ntz = ZoneInfo(\"Europe/London\")\n\nwith open(\"pay-rules.json\") as f:\n    rules = json.load(f)\n\nweekly_hours = Decimal(str(rules[\"weekly_hours\"]))\novertime_mult = Decimal(str(rules[\"overtime_multiplier\"]))\nholiday_mult = Decimal(str(rules[\"holiday_multiplier\"]))\nbreak_after = Decimal(str(rules[\"break_after_hours\"]))\nbreak_hours = Decimal(str(rules[\"break_minutes\"])) / Decimal\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:\nCW-50: reg=74.5, ot=2.0, hol=11.5, raw_pay=1246.2000, rounded_pay=1246.20\r\nCW-55: reg=68.5, ot=5.5, hol=0, raw_pay=951.7000, rounded_pay=951.70\r\nCW-57: reg=66.5, ot=0, hol=6.0, raw_pay=989.100, rounded_pay=989.10\r\nCW-61: reg=70.5, ot=3.0, hol=7.5, raw_pay=1278.0000, rounded_pay=1278.00\r\nTraceback (most recent call last):\r\n  File \"<string>\", line 80, in <module>\r\n    with open(\"out/payroll.json\", \"w\") as f:\r\n         ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\r\nOSError: [Errno 30] Read-only file system: 'out/payroll.json'\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 8, "state": "DONE", "step_type": "agent_response", "duration_seconds": 16.470854459999998, "usage": {"input_tokens": 3706, "output_tokens": 1095, "thinking_tokens": 182, "cache_read_tokens": 9223, "total_tokens": 4801}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 9, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\nfrom datetime import datetime, timezone\nfrom zoneinfo import ZoneInfo\nfrom decimal import Decimal, ROUND_HALF_UP\n\ntz = ZoneInfo(\"Europe/London\")\n\nwith open(\"pay-rules.json\") as f:\n    rules = json.load(f)\n\nweekly_hours = Decimal(str(rules[\"weekly_hours\"]))\novertime_mult = Decimal(str(rules[\"overtime_multiplier\"]))\nholiday_mult = Decimal(str(rules[\"holiday_multiplier\"]))\nbreak_after = Decimal(str(rules[\"break_after_hours\"]))\nbreak_hours = Decimal(str(rules[\"break_minutes\"])) / D\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 9, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.456150393, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\nfrom datetime import datetime, timezone\nfrom zoneinfo import ZoneInfo\nfrom decimal import Decimal, ROUND_HALF_UP\n\ntz = ZoneInfo(\"Europe/London\")\n\nwith open(\"pay-rules.json\") as f:\n    rules = json.load(f)\n\nweekly_hours = Decimal(str(rules[\"weekly_hours\"]))\novertime_mult = Decimal(str(rules[\"overtime_multiplier\"]))\nholiday_mult = Decimal(str(rules[\"holiday_multiplier\"]))\nbreak_after = Decimal(str(rules[\"break_after_hours\"]))\nbreak_hours = Decimal(str(rules[\"break_minutes\"])) / D\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nCW-50: weeks={(2026, 44): Decimal('42.0'), (2026, 43): Decimal('35.5')}, reg=75.5, ot=2.0, hol=11.5, raw_pay=1258.6000, rounded_pay=1258.60\r\nCW-55: weeks={(2026, 43): Decimal('29.5'), (2026, 44): Decimal('45.5')}, reg=69.5, ot=5.5, hol=0, raw_pay=964.1000, rounded_pay=964.10\r\nCW-57: weeks={(2026, 44): Decimal('32.0'), (2026, 43): Decimal('34.5')}, reg=66.5, ot=0, hol=6.0, raw_pay=989.100, rounded_pay=989.10\r\nCW-61: weeks={(2026, 44): Decimal('43.0'), (2026, 43): Decimal('30.5')}, reg=70.5, ot=3.0, hol=7.5, raw_pay=1278.0000, rounded_pay=1278.00\r\nJSON:\r\n{\r\n  \"paid_hours\": {\r\n    \"SH-929\": 8.0,\r\n    \"SH-968\": 11.0,\r\n    \"SH-937\": 7.5,\r\n    \"SH-919\": 6.5,\r\n    \"SH-959\": 6.0,\r\n    \"SH-1004\": 8.5,\r\n    \"SH-965\": 7.5,\r\n    \"SH-993\": 7.5,\r\n    \"SH-973\": 7.0,\r\n    \"SH-966\": 7.0,\r\n    \"SH-924\": 7.5,\r\n    \"SH-977\": 7.5,\r\n    \"SH-945\": 7.5,\r\n    \"SH-975\": 6.0,\r\n    \"SH-938\": 6.0,\r\n    \"SH-998\": 6.0,\r\n    \"SH-932\": 11.0,\r\n    \"SH-921\": 11.5,\r\n    \"SH-943\": 8.0,\r\n    \"SH-981\": 6.0,\r\n    \"SH-1001\": 11.5,\r\n    \"SH-956\": 8.0,\r\n    \"SH-954\": 7.5,\r\n    \"SH-916\": 6.0,\r\n    \"SH-925\": 7.5,\r\n    \"SH-984\": 11.0,\r\n    \"SH-961\": 11.5,\r\n    \"SH-951\": 7.0,\r\n    \"SH-935\": 7.0,\r\n    \"SH-947\": 11.5,\r\n    \"SH-990\": 6.0,\r\n    \"SH-969\": 7.0,\r\n    \"SH-939\": 11.5,\r\n    \"SH-909\": 7.5,\r\n    \"SH-912\": 7.0,\r\n    \"SH-982\": 7.5,\r\n    \"SH-994\": 6.0,\r\n    \"SH-926\": 8.0,\r\n    \"SH-1005\": 9.0,\r\n    \"SH-986\": 6.0\r\n  },\r\n  \"overtime_hours\": {\r\n    \"CW-50\": 2.0,\r\n    \"CW-55\": 5.5,\r\n    \"CW-57\": 0.0,\r\n    \"CW-61\": 3.0\r\n  },\r\n  \"pay\": {\r\n    \"CW-50\": 1258.6,\r\n    \"CW-55\": 964.1,\r\n    \"CW-57\": 989.1,\r\n    \"CW-61\": 1278.0\r\n  },\r\n  \"total\": 4489.8\r\n}\r\n"}}}
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{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 12, "state": "DONE", "step_type": "agent_response", "duration_seconds": 3.895124028, "usage": {"input_tokens": 2253, "output_tokens": 111, "thinking_tokens": 44, "cache_read_tokens": 14026, "total_tokens": 2364}}}
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{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ults\n- **Act"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ual Duration (`Europe/Lo"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ndon`)**: Calculated ela"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "psed time in"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " UTC between"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " local `Europe/London` s"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "tart and end timestamps,"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " accounting for the BST-"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "to-GMT clock"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " change on `2026-10-"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "25` (`SH-1004` is 9h raw / 8.5h paid"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ";"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " `SH-1005` is 9.5h raw / 9.0h paid)."}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "- **Unpaid Breaks**: Shifts strictly"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " longer than `6` hours h"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ave a `30`-minute (`0.5`"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " hour) unpai"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "d break"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " deducted; shifts of `6` hours or le"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ss have no deduction.\n- "}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "**Holiday & Weekly Overt"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ime (`20"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "26-10-23`)**: Shifts starting on `20"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "26-10-23"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` are paid at `2x` the worker's hourly rate and "}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "excluded fro"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "m the `40`-hour weekly t"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "hreshold"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " (Monday\u2013Sunday by shi"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ft start date). Non-holi"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "day hours exceeding `40`"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " hours in a "}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "week are paid at "}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`1.5x`.\n- **Worker Total"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "s**:\n  - **CW-50 (Amara)"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "**: `2"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".0` overtime hours, `\u00a31258.60`\n  - "}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "**CW-55 ("}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Bogdan)**: `5.5` overtime hours, `\u00a3"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "964.10`\n  - **"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "CW-57 (Cerys)**: `0.0` overtime hour"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "s, `\u00a3989.10"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`\n  - **CW-61 (Femi)**: `3.0` overti"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "me hours, `\u00a31"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "278.00`\n  - **Total Payroll**: `\u00a344"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "89.80`"}}
{"event": "step_update", "step_update": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "step_index": 14, "state": "DONE", "step_type": "agent_response", "text_delta": "\n", "duration_seconds": 72.814801884, "usage": {"input_tokens": 2352, "output_tokens": 471, "thinking_tokens": 21, "cache_read_tokens": 14230, "total_tokens": 2823}}}
{"event": "result", "result": {"conversation_id": "2706b32c-2f5b-4d67-bdbe-5c67a3930a13", "status": "SUCCESS", "response": "I have calculated the payroll for the two-week period and written the results to [out/payroll.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h03/work/out/payroll.json).\n\n### Summary of Rules Applied & Results\n- **Actual Duration (`Europe/London`)**: Calculated elapsed time in UTC between local `Europe/London` start and end timestamps, accounting for the BST-to-GMT clock change on `2026-10-25` (`SH-1004` is 9h raw / 8.5h paid; `SH-1005` is 9.5h raw / 9.0h paid).\n- **Unpaid Breaks**: Shifts strictly longer than `6` hours have a `30`-minute (`0.5` hour) unpaid break deducted; shifts of `6` hours or less have no deduction.\n- **Holiday & Weekly Overtime (`2026-10-23`)**: Shifts starting on `2026-10-23` are paid at `2x` the worker's hourly rate and excluded from the `40`-hour weekly threshold (Monday\u2013Sunday by shift start date). Non-holiday hours exceeding `40` hours in a week are paid at `1.5x`.\n- **Worker Totals**:\n  - **CW-50 (Amara)**: `2.0` overtime hours, `\u00a31258.60`\n  - **CW-55 (Bogdan)**: `5.5` overtime hours, `\u00a3964.10`\n  - **CW-57 (Cerys)**: `0.0` overtime hours, `\u00a3989.10`\n  - **CW-61 (Femi)**: `3.0` overtime hours, `\u00a31278.00`\n  - **Total Payroll**: `\u00a34489.80`\n", "duration_seconds": 128.640195977, "num_turns": 1, "usage": {"input_tokens": 21835, "output_tokens": 4267, "thinking_tokens": 839, "cache_read_tokens": 58768, "total_tokens": 26102}}}