Gemini 4 Argon (effort medium · thinking on) on Check and pay staff mileage claims across the April tax-year change
GGemini 4 Argonmedium · thinking on · Antigravity CLI 1.4.6 (agy -p) · cloud · 2026-10-23 · by @bobsiopener
- Estimated cost
- $0.14
- Wall time
- 3m
- Human step-ins
- 0
- Outcome
- Pass
Compare with other models on this task →
Summary
Exact prompt
# Check and pay staff mileage claims across the tax-year change Inputs: `claims.csv` (claim_id, employee_id, trip_date, from, to, miles, passengers, submitted_on), `employees.json`, `rates.json` and `finance-note.txt`. Amounts are in pounds. `rates.json` and these rules are the record; where the finance note disagrees, the rules win. Rules: - A claim submitted more than late_after_days days after its trip_date is rejected as late; it is listed only in rejected_late, even if it is also a duplicate. - Two remaining claims are duplicates if they have the same employee_id, trip_date, from and to (from and to compared ignoring letter case and extra spaces); only the one submitted first is paid (on a tie, the lower claim number), and the others are duplicates. - Business miles are paid at rate_first per mile until the employee's miles in that tax year reach threshold_miles, then at rate_after; a tax year runs from 6 April to 5 April. Count paid claims in trip_date order (ties by claim number), starting from miles_before_2025_26 for the 2025-26 tax year and from 0 for 2026-27; a claim that crosses the threshold is split. - Each passenger adds passenger_per_mile for every mile of the claim; passenger miles don't count toward the threshold. - Write `out/mileage.json`: `{"paid": {"<claim_id>": <pay>, ...}, "rejected_late": [<claim_ids>], "duplicates": [<claim_ids>], "employee_totals": {"<employee_id>": <sum of pay>, ...}}`. `paid` has every paid claim; lists are sorted by claim number; `employee_totals` lists employees with at least one paid claim. ## 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: late duplicates pay totals
Setup notes: batch29 case h02-mileage-expense-claims (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 1774917927): 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 9 (0 failed). Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.14
- Wall time
- 3m
- Human step-ins
- 0
- Turns
- 7
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on | 104,466 | 7,944 | $0.14 |
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: late duplicates pay 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.
Was this useful?
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
{"event": "init", "conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "init": {"model": "gemini-4-argon-medium", "cwd": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h02/work", "tools": ["ask_custom_permission", "ask_permission", "ask_question", "browser_click_element", "browser_drag_pixel_to_pixel", "browser_get_dom", "browser_get_network_request", "browser_input", "browser_list_network_requests", "browser_mouse_down", "browser_mouse_up", "browser_move_mouse", "browser_press_key", "browser_refresh_page", "browser_resize_window", "browser_scroll", "browser_scroll_dom", "browser_select_option", "browser_subagent", "call_mcp_tool", "capture_browser_console_logs", "capture_browser_screenshot", "click_browser_pixel", "command_status", "define_subagent", "delete_knowledge", "execute_browser_javascript", "find_by_name", "finish", "generate_image", "grep_search", "invoke_subagent", "list_browser_pages", "list_dir", "list_permissions", "list_plugin_accounts", "list_resources", "manage_inbox", "manage_subagents", "manage_task", "multi_replace_file_content", "notebook_edit", "notebook_execution", "open_browser_url", "read_browser_page", "read_resource", "read_url_content", "replace_file_content", "run_command", "run_workflow", "schedule", "search_marketplace", "search_web", "sed_file", "send_command_input", "send_message", "view_file", "wait", "wait_5_seconds", "write_to_file"], "permission_mode": "always-proceed"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 0, "state": "DONE", "step_type": "user_input"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 5.696521525, "usage": {"input_tokens": 8405, "output_tokens": 313, "thinking_tokens": 79, "cache_read_tokens": 0, "total_tokens": 8718}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "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/b29h02/work/claims.csv"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 2, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.806297934, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h02/work/claims.csv"}, "output": "25 lines, 1780 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "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/b29h02/work/employees.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 3, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.475445051, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h02/work/employees.json"}, "output": "18 lines, 276 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "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/b29h02/work/rates.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 4, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.072136727, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h02/work/rates.json"}, "output": "7 lines, 130 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "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/b29h02/work/finance-note.txt"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 5, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.038658774, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h02/work/finance-note.txt"}, "output": "2 lines, 202 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 6, "state": "DONE", "step_type": "agent_response", "duration_seconds": 51.20080803, "usage": {"input_tokens": 2227, "output_tokens": 1713, "thinking_tokens": 1083, "cache_read_tokens": 8406, "total_tokens": 3940}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 7, "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\nfrom decimal import Decimal\n\nwith open(\"employees.json\") as f:\n employees = json.load(f)\nwith open(\"rates.json\") as f:\n rates = json.load(f)\n\nrate_first = Decimal(rates[\"rate_first\"])\nrate_after = Decimal(rates[\"rate_after\"])\npassenger_rate = Decimal(rates[\"passenger_per_mile\"])\nthreshold = int(rates[\"threshold_miles\"])\nlate_after = int(rates[\"late_after_days\"])\n\ndef claim_num(cid):\n return int(cid.split(\"-\")[1])\n\ndef norm(s):\n return \" \".j\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 7, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.206820243, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\nfrom datetime import date\nfrom decimal import Decimal\n\nwith open(\"employees.json\") as f:\n employees = json.load(f)\nwith open(\"rates.json\") as f:\n rates = json.load(f)\n\nrate_first = Decimal(rates[\"rate_first\"])\nrate_after = Decimal(rates[\"rate_after\"])\npassenger_rate = Decimal(rates[\"passenger_per_mile\"])\nthreshold = int(rates[\"threshold_miles\"])\nlate_after = int(rates[\"late_after_days\"])\n\ndef claim_num(cid):\n return int(cid.split(\"-\")[1])\n\ndef norm(s):\n return \" \".j\u2026"}, "output": "Command exited with code 1.\n\nCommand output:\n File \"<string>\", line 37\r\n print(f\"{c[\\\"claim_id\\\"]}: emp={c[\\\"employee_id\\\"]} trip={c[\\\"trip_date\\\"]} sub={c[\\\"submitted_on\\\"]} days={days}\")\r\n ^\r\nSyntaxError: unexpected character after line continuation character\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 8, "state": "DONE", "step_type": "agent_response", "duration_seconds": 12.886083522, "usage": {"input_tokens": 2503, "output_tokens": 1163, "thinking_tokens": 30, "cache_read_tokens": 10000, "total_tokens": 3666}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 9, "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\nfrom decimal import Decimal\n\nwith open(\"employees.json\") as f:\n employees = json.load(f)\nwith open(\"rates.json\") as f:\n rates = json.load(f)\n\nrate_first = Decimal(rates[\"rate_first\"])\nrate_after = Decimal(rates[\"rate_after\"])\npassenger_rate = Decimal(rates[\"passenger_per_mile\"])\nthreshold = int(rates[\"threshold_miles\"])\nlate_after = int(rates[\"late_after_days\"])\n\ndef claim_num(cid):\n return int(cid.split(\"-\")[1])\n\ndef norm(s):\n return \"\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 9, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.2417551119999999, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json, os\nfrom datetime import date\nfrom decimal import Decimal\n\nwith open(\"employees.json\") as f:\n employees = json.load(f)\nwith open(\"rates.json\") as f:\n rates = json.load(f)\n\nrate_first = Decimal(rates[\"rate_first\"])\nrate_after = Decimal(rates[\"rate_after\"])\npassenger_rate = Decimal(rates[\"passenger_per_mile\"])\nthreshold = int(rates[\"threshold_miles\"])\nlate_after = int(rates[\"late_after_days\"])\n\ndef claim_num(cid):\n return int(cid.split(\"-\")[1])\n\ndef norm(s):\n return \"\u2026"}, "output": "Command exited with code 1.\n\nCommand output:\n File \"<string>\", line 78\r\n print(f\"PAID {c[\\\"claim_id\\\"]} ({emp_id}, {c[\\\"trip_date\\\"]}, {ty}): cur={cur}->{cur+m}, m_first={m_first}, m_after={m_after}, pass={c[\\\"passengers\\\"]}, pay={pay}\")\r\n ^\r\nSyntaxError: unexpected character after line continuation character\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 10, "state": "DONE", "step_type": "agent_response", "duration_seconds": 14.64029493, "usage": {"input_tokens": 2124, "output_tokens": 1157, "thinking_tokens": 23, "cache_read_tokens": 11721, "total_tokens": 3281}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 11, "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\nfrom decimal import Decimal\n\nwith open(\"employees.json\") as f:\n employees = json.load(f)\nwith open(\"rates.json\") as f:\n rates = json.load(f)\n\nrate_first = Decimal(rates[\"rate_first\"])\nrate_after = Decimal(rates[\"rate_after\"])\npassenger_rate = Decimal(rates[\"passenger_per_mile\"])\nthreshold = int(rates[\"threshold_miles\"])\nlate_after = int(rates[\"late_after_days\"])\n\ndef claim_num(cid):\n return int(cid.split(\"-\")[1])\n\ndef norm(s):\n return \"\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 11, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.445509714, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json, os\nfrom datetime import date\nfrom decimal import Decimal\n\nwith open(\"employees.json\") as f:\n employees = json.load(f)\nwith open(\"rates.json\") as f:\n rates = json.load(f)\n\nrate_first = Decimal(rates[\"rate_first\"])\nrate_after = Decimal(rates[\"rate_after\"])\npassenger_rate = Decimal(rates[\"passenger_per_mile\"])\nthreshold = int(rates[\"threshold_miles\"])\nlate_after = int(rates[\"late_after_days\"])\n\ndef claim_num(cid):\n return int(cid.split(\"-\")[1])\n\ndef norm(s):\n return \"\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:\nMC-103 EM-36 2026-04-07 2026-04-09 days= 2\r\nMC-113 EM-41 2026-03-28 2026-06-06 days= 70\r\nMC-97 EM-32 2026-04-02 2026-06-01 days= 60\r\nMC-118 EM-[REDACTED:credit_card] days= 20\r\nMC-101 EM-32 2026-04-20 2026-04-29 days= 9\r\nMC-112 EM-36 2026-03-24 2026-05-23 days= 60\r\nMC-131 EM-36 2026-04-05 2026-04-08 days= 3\r\nMC-100 EM-32 2026-04-05 2026-04-10 days= 5\r\nMC-105 EM-36 2026-04-07 2026-06-06 days= 60\r\nMC-121 EM-42 2026-04-04 2026-04-24 days= 20\r\nMC-132 EM-32 2026-04-06 2026-04-09 days= 3\r\nMC-114 EM-41 2026-03-26 2026-05-25 days= 60\r\nMC-120 EM-42 2026-04-22 2026-04-27 days= 5\r\nMC-94 EM-32 2026-04-01 2026-05-29 days= 58\r\nMC-117 EM-41 2026-03-23 2026-04-01 days= 9\r\nMC-110 EM-36 2026-04-10 2026-06-07 days= 58\r\nMC-96 EM-[REDACTED:credit_card] days= 33\r\nMC-107 EM-36 2026-04-04 2026-06-01 days= 58\r\nMC-128 EM-42 2026-03-30 2026-06-08 days= 70\r\nMC-106 EM-36 2026-04-03 2026-04-08 days= 5\r\nMC-135 EM-32 2026-04-05 2026-04-11 days= 6\r\nMC-127 EM-42 2026-04-08 2026-04-10 days= 2\r\nMC-124 EM-42 2026-03-31 2026-05-28 days= 58\r\nMC-134 EM-32 2026-04-01 2026-05-29 days= 58\r\nDUP: MC-135 of MC-100\r\nDUP: MC-134 of MC-94\r\nPAID MC-117 EM-41 2026-03-23 2025-26 9733 -> 9868 first= 135 after= 0 pass= 0 pay= 60.75\r\nPAID MC-112 EM-[REDACTED:credit_card] 4362 -> 4677 first= 315 after= 0 pass= 0 pay= 141.75\r\nPAID MC-114 EM-41 2026-03-26 2025-26 9868 -> 10039 first= 132 after= 39 pass= 1 pay= 77.70\r\nPAID MC-124 EM-42 2026-03-31 2025-26 9653 -> 9695 first= 42 after= 0 pass= 2 pay= 23.10\r\nPAID MC-94 EM-[REDACTED:credit_card] 9658 -> 9853 first= 195 after= 0 pass= 0 pay= 87.75\r\nPAID MC-97 EM-32 2026-04-02 2025-26 9853 -> 9900 first= 47 after= 0 pass= 2 pay= 25.85\r\nPAID MC-106 EM-36 2026-04-03 2025-26 4677 -> 4916 first= 239 after= 0 pass= 2 pay= 131.45\r\nPAID MC-107 EM-36 2026-04-04 2025-26 4916 -> 5024 first= 108 after= 0 pass= 0 pay= 48.60\r\nPAID MC-121 EM-42 2026-04-04 2025-26 9695 -> 9843 first= 148 after= 0 pass= 2 pay= 81.40\r\nPAID MC-100 EM-32 2026-04-05 2025-26 9900 -> 10048 first= 100 after= 48 pass= 2 pay= 71.80\r\nPAID MC-131 EM-36 2026-04-05 2025-26 5024 -> 5124 first= 100 after= 0 pass= 0 pay= 45.00\r\nPAID MC-96 EM-32 2026-04-06 2026-27 0 -> 284 first= 284 after= 0 pass= 1 pay= 142.00\r\nPAID MC-132 EM-32 2026-04-06 2026-27 284 -> 482 first= 198 after= 0 pass= 0 pay= 89.10\r\nPAID MC-103 EM-[REDACTED:credit_card] -> 146 first= 146 after= 0 pass= 1 pay= 73.00\r\nPAID MC-105 EM-36 2026-04-07 2026-27 146 -> 289 first= 143 after= 0 pass= 2 pay= 78.65\r\nPAID MC-127 EM-42 2026-04-08 2026-27 0 -> 92 first= 92 after= 0 pass= 0 pay= 41.40\r\nPAID MC-110 EM-36 2026-04-10 2026-27 289 -> 443 first= 154 after= 0 pass= 0 pay= 69.30\r\nPAID MC-118 EM-41 2026-04-11 2026-27 0 -> 166 first= 166 after= 0 pass= 2 pay= 91.30\r\nPAID MC-101 EM-32 2026-04-20 2026-27 482 -> 587 first= 105 after= 0 pass= 0 pay= 47.25\r\nPAID MC-120 EM-[REDACTED:credit_card] -> 261 first= 169 after= 0 pass= 2 pay= 92.95\r\nTraceback (most recent call last):\r\n File \"<string>\", line 87, in <module>\r\n with open(\"out/mileage.json\", \"w\") as f:\r\n ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\r\nOSError: [Errno 30] Read-only file system: 'out/mileage.json'\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 12, "state": "DONE", "step_type": "agent_response", "duration_seconds": 26.98544571, "usage": {"input_tokens": 3498, "output_tokens": 3076, "thinking_tokens": 2554, "cache_read_tokens": 13846, "total_tokens": 6574}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 13, "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/b29h02/work/out/mileage.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 13, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 1.417914602, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h02/work/out/mileage.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 14, "state": "DONE", "step_type": "agent_response", "duration_seconds": 28.984981054, "usage": {"input_tokens": 3158, "output_tokens": 87, "thinking_tokens": 24, "cache_read_tokens": 17345, "total_tokens": 3245}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 15, "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/b29h02/work/out/mileage.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 15, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.031981319, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h02/work/out/mileage.json"}, "output": "38 lines, 641 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "I have proce"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ssed the staff mileage"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " claims according to the"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " specified rules and wri"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "tten the res"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ults to [mileage.json](f"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ile:///home/bob/usecase-"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "runs/b2"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "930/out/agy/gemini-4-arg"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "on-medium/b29h02/work"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/out/mileage.json).\n\n### Summary of "}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Processing\n-"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " **Late Claims (`> 60` d"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ays)**: `MC-"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "113"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` (70 days) and `MC-128`"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " (70 days) were rejected"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " as late.\n- **Duplicates"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "**: After"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " normalizing case and wh"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "itespace in `from` and `"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "to`:\n - `MC-134` is a d"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "uplicate of"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " `MC-94` (tied submission date `2026"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-05-29`, resolved by low"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "er claim num"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ber"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " `94 < 134`).\n - `MC-13"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "5` is a duplicate of "}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`MC-100` (`MC-100` submitted earlier"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " on `2026-04"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-10"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` vs `2026-04-11`).\n- **Threshold Sp"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "lits & Tax Y"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ear Reset (6 April)**:"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n - In the `2025-26` tax year (up t"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "o `2026-0"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "4-05`), `MC-114` (`EM-41`, crossing 10,000 miles"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " from"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " 9,868 to 10,039) and `M"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "C-100` ("}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`EM-32`, crossing 10,000 miles from "}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "9,900 to 1"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "0,048) were split between `0.45` and"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " `0.25` per mile.\n "}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "- On `2026-04-06` (start of `2026-2"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "7`), cumulative mileage reset to `0`"}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " for all employees."}}
{"event": "step_update", "step_update": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "step_index": 16, "state": "DONE", "step_type": "agent_response", "text_delta": "\n", "duration_seconds": 15.185332957, "usage": {"input_tokens": 2779, "output_tokens": 435, "thinking_tokens": 14, "cache_read_tokens": 18454, "total_tokens": 3214}}}
{"event": "result", "result": {"conversation_id": "391f50f7-89d3-4ebb-be50-4f7e489adc72", "status": "SUCCESS", "response": "I have processed the staff mileage claims according to the specified rules and written the results to [mileage.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b29h02/work/out/mileage.json).\n\n### Summary of Processing\n- **Late Claims (`> 60` days)**: `MC-113` (70 days) and `MC-128` (70 days) were rejected as late.\n- **Duplicates**: After normalizing case and whitespace in `from` and `to`:\n - `MC-134` is a duplicate of `MC-94` (tied submission date `2026-05-29`, resolved by lower claim number `94 < 134`).\n - `MC-135` is a duplicate of `MC-100` (`MC-100` submitted earlier on `2026-04-10` vs `2026-04-11`).\n- **Threshold Splits & Tax Year Reset (6 April)**:\n - In the `2025-26` tax year (up to `2026-04-05`), `MC-114` (`EM-41`, crossing 10,000 miles from 9,868 to 10,039) and `MC-100` (`EM-32`, crossing 10,000 miles from 9,900 to 10,048) were split between `0.45` and `0.25` per mile.\n - On `2026-04-06` (start of `2026-27`), cumulative mileage reset to `0` for all employees.\n", "duration_seconds": 160.764103272, "num_turns": 1, "usage": {"input_tokens": 24694, "output_tokens": 7944, "thinking_tokens": 3807, "cache_read_tokens": 79772, "total_tokens": 32638}}}