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Gemini 4 Argon (effort medium · thinking on) on Charge residents' parking permits by emission band, part year, household order and blue-badge exemption

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

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.20
Wall time
3m
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Charge a council's residents' parking permits for the rest of the scheme year Inputs: `permits.csv` (permit_id, household, reg, co2_gkm, fuel, start_date, cancelled_on, status), `charges.json`, `blue-badges.csv` (household) and `office-note.txt`. Amounts are in pounds. `charges.json` and these rules are the record; where the office note disagrees, the rules win. Rules: - Permits with status refused are ignored. Households match ignoring letter case and surrounding spaces; report them in upper case. - A car's band is the first band in charges.json whose max_co2 is at least co2_gkm (a car exactly on a limit stays in that band; max_co2 null is the top band). Electric cars are band "electric" and free. - Diesel cars add diesel_surcharge to the band's annual price. - A permit is charged annual price x days / days_in_year, counting days from start_date to cancelled_on (or scheme_year_end), both included. - In each household, non-electric permits are ordered by start_date (ties by the permit number); every permit after the first costs additional_permit_pct percent more. - A household in blue-badges.csv pays nothing for its first non-electric permit only. - Each permit's charge is rounded half-up to 0.01 at the end. Write `out/permits.json`: `{"band": {"<permit_id>": "<band>", ...}, "charge": {"<permit_id>": <charge>, ...}, "household_totals": {"<HOUSEHOLD>": <sum>, ...}, "total": <sum of charges>}` covering every permit that is not refused. ## 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: bands pro_rata household_order_and_badges totals

Setup notes: batch30 case o02-residents-parking-permits (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 136717216): 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
$0.20
Wall time
3m
Human step-ins
0
Turns
7
Model usage
ModelInput tokOutput tokCost
GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on108,50613,385$0.20

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Gemini 4 Argon (google/gemini-4-argon, effort medium · thinking on) via Antigravity CLI 1.4.6 (agy -p), cloud.
  3. It counts as a success only if it meets every success criterion: bands pro_rata household_order_and_badges totals
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
{"event": "init", "conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "init": {"model": "gemini-4-argon-medium", "cwd": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o02/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": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 0, "state": "DONE", "step_type": "user_input"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 5.241022715, "usage": {"input_tokens": 8379, "output_tokens": 251, "thinking_tokens": 14, "cache_read_tokens": 0, "total_tokens": 8630}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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/b30o02/work/permits.csv"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 2, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.827166192, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o02/work/permits.csv"}, "output": "9 lines, 536 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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/b30o02/work/charges.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 3, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.502729638, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o02/work/charges.json"}, "output": "23 lines, 331 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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/b30o02/work/blue-badges.csv"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 4, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.051572935, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o02/work/blue-badges.csv"}, "output": "3 lines, 38 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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/b30o02/work/office-note.txt"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 5, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.03695523, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o02/work/office-note.txt"}, "output": "2 lines, 192 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 6, "state": "DONE", "step_type": "agent_response", "duration_seconds": 35.847689385, "usage": {"input_tokens": 3306, "output_tokens": 3267, "thinking_tokens": 2233, "cache_read_tokens": 6325, "total_tokens": 6573}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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 date\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open(\"charges.json\") as f:\n    charges = json.load(f)\n\nwith open(\"blue-badges.csv\") as f:\n    blue_badges = {row[\"household\"].strip().upper() for row in csv.DictReader(f)}\n\nwith open(\"permits.csv\") as f:\n    permits = list(csv.DictReader(f))\n\nscheme_year_end = date.fromisoformat(charges[\"scheme_year_end\"])\ndays_in_year = Decimal(str(charges[\"days_in_year\"]))\ndiesel_surcharge = Decimal(str(charges[\"di\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 7, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.426712999, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json, os\nfrom datetime import date\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open(\"charges.json\") as f:\n    charges = json.load(f)\n\nwith open(\"blue-badges.csv\") as f:\n    blue_badges = {row[\"household\"].strip().upper() for row in csv.DictReader(f)}\n\nwith open(\"permits.csv\") as f:\n    permits = list(csv.DictReader(f))\n\nscheme_year_end = date.fromisoformat(charges[\"scheme_year_end\"])\ndays_in_year = Decimal(str(charges[\"days_in_year\"]))\ndiesel_surcharge = Decimal(str(charges[\"di\u2026"}, "output": "Command exited with code 1.\n\nThere were sandbox errors that may or may not be related to the failure. If you think the failure is because of running in the sandbox, you can run the command again with `BypassSandbox` set to true to request explicit user permission.\n\nCommand output:\nTraceback (most recent call last):\r\n  File \"<string>\", line 83, in <module>\r\n    with open(\"out/permits.json\", \"w\") as f:\r\n         ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\r\nOSError: [Errno 30] Read-only file system: 'out/permits.json'\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 8, "state": "DONE", "step_type": "agent_response", "duration_seconds": 12.898126938, "usage": {"input_tokens": 3481, "output_tokens": 1135, "thinking_tokens": 121, "cache_read_tokens": 9632, "total_tokens": 4616}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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 date\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open(\"charges.json\") as f:\n    charges = json.load(f)\n\nwith open(\"blue-badges.csv\") as f:\n    blue_badges = {row[\"household\"].strip().upper() for row in csv.DictReader(f)}\n\nwith open(\"permits.csv\") as f:\n    permits = list(csv.DictReader(f))\n\nscheme_year_end = date.fromisoformat(charges[\"scheme_year_end\"])\ndays_in_year = Decimal(str(charges[\"days_in_year\"]))\ndiesel_surcharge = Decimal(str(charges[\"diesel\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 9, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.104227994, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\nfrom datetime import date\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open(\"charges.json\") as f:\n    charges = json.load(f)\n\nwith open(\"blue-badges.csv\") as f:\n    blue_badges = {row[\"household\"].strip().upper() for row in csv.DictReader(f)}\n\nwith open(\"permits.csv\") as f:\n    permits = list(csv.DictReader(f))\n\nscheme_year_end = date.fromisoformat(charges[\"scheme_year_end\"])\ndays_in_year = Decimal(str(charges[\"days_in_year\"]))\ndiesel_surcharge = Decimal(str(charges[\"diesel\u2026"}, "output": "Command exited with code 1.\n\nCommand output:\n  File \"<string>\", line 72\r\n    print(f\"{pid}: hh={hh}, fuel={fuel}, co2={p[\\\"co2\\\"]}, band={band_map[pid]}, days={days}, charge={ch}\")\r\n                                                 ^\r\nSyntaxError: unexpected character after line continuation character\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 10, "state": "DONE", "step_type": "agent_response", "duration_seconds": 10.888181932, "usage": {"input_tokens": 2528, "output_tokens": 1014, "thinking_tokens": 11, "cache_read_tokens": 11874, "total_tokens": 3542}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open(\"charges.json\") as f:\n    charges = json.load(f)\n\nwith open(\"blue-badges.csv\") as f:\n    blue_badges = {row[\"household\"].strip().upper() for row in csv.DictReader(f)}\n\nwith open(\"permits.csv\") as f:\n    permits = list(csv.DictReader(f))\n\nscheme_year_end = date.fromisoformat(charges[\"scheme_year_end\"])\ndays_in_year = Decimal(str(charges[\"days_in_year\"]))\ndiesel_surcharge = Decimal(str(charges[\"diesel\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 11, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.381806326, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport csv, json\nfrom datetime import date\nfrom decimal import Decimal, ROUND_HALF_UP\n\nwith open(\"charges.json\") as f:\n    charges = json.load(f)\n\nwith open(\"blue-badges.csv\") as f:\n    blue_badges = {row[\"household\"].strip().upper() for row in csv.DictReader(f)}\n\nwith open(\"permits.csv\") as f:\n    permits = list(csv.DictReader(f))\n\nscheme_year_end = date.fromisoformat(charges[\"scheme_year_end\"])\ndays_in_year = Decimal(str(charges[\"days_in_year\"]))\ndiesel_surcharge = Decimal(str(charges[\"diesel\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nRP-29 25 DALE AVE petrol 118 B 133 58.30\r\nRP-19 25 DALE AVE diesel 194 C 147 0.00\r\nRP-15 59 ASH GROVE electric 0 electric 132 0.00\r\nRP-11 59 ASH GROVE hybrid 100 A 123 0.00\r\nRP-16 28 BELL ST petrol 155 B 132 28.93\r\nRP-9 74 COBDEN RD diesel 158 B 121 39.78\r\nRP-7 68 FIR CLOSE electric 0 electric 149 0.00\r\nRP-8 25 DALE AVE petrol 178 C 133 131.18\r\n{\r\n  \"band\": {\r\n    \"RP-29\": \"B\",\r\n    \"RP-19\": \"C\",\r\n    \"RP-15\": \"electric\",\r\n    \"RP-11\": \"A\",\r\n    \"RP-16\": \"B\",\r\n    \"RP-9\": \"B\",\r\n    \"RP-7\": \"electric\",\r\n    \"RP-8\": \"C\"\r\n  },\r\n  \"charge\": {\r\n    \"RP-29\": 58.3,\r\n    \"RP-19\": 0.0,\r\n    \"RP-15\": 0.0,\r\n    \"RP-11\": 0.0,\r\n    \"RP-16\": 28.93,\r\n    \"RP-9\": 39.78,\r\n    \"RP-7\": 0.0,\r\n    \"RP-8\": 131.18\r\n  },\r\n  \"household_totals\": {\r\n    \"25 DALE AVE\": 189.48,\r\n    \"59 ASH GROVE\": 0.0,\r\n    \"28 BELL ST\": 28.93,\r\n    \"74 COBDEN RD\": 39.78,\r\n    \"68 FIR CLOSE\": 0.0\r\n  },\r\n  \"total\": 258.19\r\n}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 12, "state": "DONE", "step_type": "agent_response", "duration_seconds": 75.534692934, "usage": {"input_tokens": 2785, "output_tokens": 7073, "thinking_tokens": 6687, "cache_read_tokens": 13238, "total_tokens": 9858}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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/b30o02/work/out/permits.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 13, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 1.144687175, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o02/work/out/permits.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 14, "state": "DONE", "step_type": "agent_response", "duration_seconds": 3.242654962, "usage": {"input_tokens": 7170, "output_tokens": 88, "thinking_tokens": 24, "cache_read_tokens": 16024, "total_tokens": 7258}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "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/b30o02/work/out/permits.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 15, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.089682834, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o02/work/out/permits.json"}, "output": "30 lines, 517 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "The residents' parking p"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ermit charge"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "s"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " have been calculated and written to"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " [permits.js"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "on](file:///home/bob/use"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "case-runs/b2"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "930/out/agy/gemini-4-argon-medium/b3"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "0o02/work"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/out/permits.json).\n\n### Summary of "}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Results\n- **Bands & Char"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ges**:\n  - `"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "RP-29"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` (`25 DALE AVE`, petrol"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ", 118 g/km, "}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "133 days,"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " additional non-electric permit): Band **B**, **"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\u00a358.30**\n  "}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "- `RP-19` (`25"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " DALE AVE`, diesel, 194 g/km, 147 da"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ys, first no"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "n-electric permit in Blu"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "e Badge hous"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ehold): Band **C**, **\u00a3"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "0.00**\n  - `RP-1"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "5` (`59 ASH GROVE`, electric): Band **electric**"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ", **\u00a30.00**"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n  - `RP-11"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` (`59 ASH GROVE`, hybri"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "d, 100 g/km, 123 days, f"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "irst"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " non-electric permit in Blue Badge h"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ousehold): Band **A**, *"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "*\u00a30.00**\n  - "}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`RP-16` (`28 BELL ST`, p"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "etrol, 155 g/km, 13"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "2 days): Band **B**, **"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\u00a328.93**\n  - `RP-9` ("}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`74 COBDEN RD`, diesel, 158 g/km, 121 days, with"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " \u00a340 diesel surcharge):"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " Band **B**, **\u00a339.78**"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n  - `RP-"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "7` (`68 FIR CLOSE`, electric): Band "}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "**electric**, **\u00a30.00**"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n  -"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " `RP-8` (`25 DALE AVE`, petrol, 178 "}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "g/km, 1"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "33 days, add"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "itional non-electric per"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "mit): Band **C**, **\u00a313"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "1.18**\n"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "- **Household Totals**:\n  - `25 DALE AVE`: **\u00a31"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "89.48**"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n  - `59 ASH GROVE`: **\u00a30.00**\n  -"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " `28 BELL"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " ST`: **\u00a328.93**\n  - `74 COBDEN RD`"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ": **\u00a33"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "9.78**\n  - `68 FIR CLOSE"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`: **\u00a30.00**\n- **Total**: **\u00a3258.19**"}}
{"event": "step_update", "step_update": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "step_index": 16, "state": "DONE", "step_type": "agent_response", "text_delta": "\n", "duration_seconds": 7.2556652790000005, "usage": {"input_tokens": 2619, "output_tokens": 557, "thinking_tokens": 14, "cache_read_tokens": 21145, "total_tokens": 3176}}}
{"event": "result", "result": {"conversation_id": "36bf89ae-811c-40cf-9dcf-64cf0c330101", "status": "SUCCESS", "response": "The residents' parking permit charges have been calculated and written to [permits.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o02/work/out/permits.json).\n\n### Summary of Results\n- **Bands & Charges**:\n  - `RP-29` (`25 DALE AVE`, petrol, 118 g/km, 133 days, additional non-electric permit): Band **B**, **\u00a358.30**\n  - `RP-19` (`25 DALE AVE`, diesel, 194 g/km, 147 days, first non-electric permit in Blue Badge household): Band **C**, **\u00a30.00**\n  - `RP-15` (`59 ASH GROVE`, electric): Band **electric**, **\u00a30.00**\n  - `RP-11` (`59 ASH GROVE`, hybrid, 100 g/km, 123 days, first non-electric permit in Blue Badge household): Band **A**, **\u00a30.00**\n  - `RP-16` (`28 BELL ST`, petrol, 155 g/km, 132 days): Band **B**, **\u00a328.93**\n  - `RP-9` (`74 COBDEN RD`, diesel, 158 g/km, 121 days, with \u00a340 diesel surcharge): Band **B**, **\u00a339.78**\n  - `RP-7` (`68 FIR CLOSE`, electric): Band **electric**, **\u00a30.00**\n  - `RP-8` (`25 DALE AVE`, petrol, 178 g/km, 133 days, additional non-electric permit): Band **C**, **\u00a3131.18**\n- **Household Totals**:\n  - `25 DALE AVE`: **\u00a3189.48**\n  - `59 ASH GROVE`: **\u00a30.00**\n  - `28 BELL ST`: **\u00a328.93**\n  - `74 COBDEN RD`: **\u00a339.78**\n  - `68 FIR CLOSE`: **\u00a30.00**\n- **Total**: **\u00a3258.19**\n", "duration_seconds": 155.844211192, "num_turns": 1, "usage": {"input_tokens": 30268, "output_tokens": 13385, "thinking_tokens": 9104, "cache_read_tokens": 78238, "total_tokens": 43653}}}

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