Gemini 3.8 Flash (effort medium · thinking on) on Best fishing windows from tide, solunar and weather data

GGemini 3.8 Flashmedium · thinking on · Antigravity CLI 1.4.5 (agy -p) · cloud · 2026-10-22 · by @bobsiopener
Trust 80%Fully autonomoussuccess · first tryCompare
Estimated cost: $0.29
Wall time: 3m
Human step-ins: 0
Outcome: Pass
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Exact prompt (this run)

# Fishing trip planner from tide, solunar and weather data `input.json` (synthetic) covers 48 hours, hour index h = 0..47 meaning the hour [h, h+1). It has `tide_m` (49 hourly heights at h = 0..48), `wind_kt` and `pressure_hpa` (48 values), `solunar_major` and `solunar_minor` (lists of [start, end] in fractional hours), `daylight` ([sunrise_hour, sunset_hour] for day 0 and day 1, in hour-of-day), and `window_hours` L. Write `solve.py` (Python 3 standard library only); `python solve.py input.json answer.json` writes `answer.json` and `windows.svg`. Fresh inputs are used too. ## Hourly score - If wind > 20 kt the hour is **unfishable**: score null, ignore the rest. - +3 if any major period overlaps the hour (start < h+1 and end > h); +1.5 if any minor period overlaps (both can apply). - Tide movement d = |tide[h+1] - tide[h]|, rounded to 6 decimals: +2 if d >= 0.3, else +1 if d >= 0.15. - Wind above 10 kt (and <= 20): -1. - Pressure trend dp = pressure[h] - pressure[h-3] (0 for h < 3), rounded to 6 decimals: +1 if dp <= -1.0, -1 if dp >= +1.0. - Outside daylight: -2, where daylight means sunrise <= (h mod 24) < sunset for day h // 24. Round each score to 2 decimals. ## Windows A window starting at s covers hours s..s+L-1, all fishable; its score is the sum, rounded to 2 decimals. Sort all windows by score descending then start ascending, and greedily keep up to 3 that do not overlap any already kept one. ## answer.json `{"hourly_scores": [48 values or null], "unfishable_hours": n, "windows": [{"start", "end" (= start + L), "score"}, ...]}` ## Visual output: windows.svg Static, self-contained SVG (root `<svg>`; no `<script>`, `<img>`/`<image>`, `<link>`, `<iframe>`/`<object>`/`<embed>`, `on*` handlers, `href`/`src` except `#...` or `data:`, CSS `url(http...)`/`@import` or fetches; renders headless) with an element `id="hourly-bars"` (the hourly scores) and one `<rect id="window-N">` for each reported window N = 1, 2, 3 in answer order. The drawing itself is not graded. ## Scoring Hidden checks (partial credit; all must pass): `hourly_scores_day1` (hours 0-23), `hourly_scores_day2` (24-47 plus unfishable count), `top_windows`, `windows_svg_static` (windows.svg exists, follows the static rules, has the ids/tags above), `fresh_run_1`, `fresh_run_2`. Tolerance 0.001. 60-second limit per run.
Overlap tests on fractional periods, threshold boundaries placed exactly at 10 and 20 kt, a 3-hour pressure trend with float rounding, daylight by day index, and greedy non-overlapping window selection with ties. 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).
Benchmark code for comparing AI models, not navigation or safety software.
Success criteria: 1. hourly_scores_day1 2. hourly_scores_day2 3. top_windows 4. windows_svg_static 5. fresh_run_1 6. fresh_run_2
Setup notes: Use Case Scout batch10 case k03-fishing-window-planner (offline fixture). Prepared with batch10/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-3.8-flash-medium --sandbox --dangerously-skip-permissions --disable-slash-commands --output-format stream-json, cwd=workdir. Scored on the box with `python score.py WORKDIR KEYDIR`. Single run, no retries, no human input. Visual output (windows.svg) rendered offline to PNG with google-chrome headless, network blocked, 1280x800 at ~3 s after load. Requested model gemini-3.8-flash-medium (effort medium); priced at the base model row gemini-3.8-flash (pricing.json, https://ai.google.dev/gemini-api/docs/pricing). Score: 6/6. Cost is an ESTIMATE: measured tokens x pricing.json list price (Google account, nothing billed per token); output_tokens include thinking tokens. Tool calls 21 (0 failed). Single run.
Estimated cost List-price estimate; not actually billed.
Output

Gemini 3.8 Flash (effort medium · thinking on) on Best fishing windows from tide, solunar and weather dataSuccess
Metrics

Estimated cost: $0.29
Wall time: 3m
Human step-ins: 0
Turns: 22
Model usage
Model	Input tok	Output tok	Cost
GGemini 3.8 Flashgoogle/gemini-3.8-flasheffort medium · thinking on	849,756	33,350	$0.29
Reproduce this run

Use the exact prompt shown above for this run (the use case page has the shared prompt).
Same setup: Gemini 3.8 Flash (google/gemini-3.8-flash, effort medium · thinking on) via Antigravity CLI 1.4.5 (agy -p), cloud.
It counts as a success only if it meets every success criterion: 1. hourly_scores_day1 2. hourly_scores_day2 3. top_windows 4. windows_svg_static 5. fresh_run_1 6. fresh_run_2
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
{"event": "init", "conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "init": {"model": "gemini-3.8-flash-medium", "cwd": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/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": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 0, "state": "DONE", "step_type": "user_input"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.63587427, "usage": {"input_tokens": 8571, "output_tokens": 250, "thinking_tokens": 213, "cache_read_tokens": 0, "total_tokens": 8821}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 2, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 2, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.326800836, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la"}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 16\r\ndrwxr-xr-x 2 bob bob 4096 Oct 22 10:56 .\r\ndrwxrwxr-x 3 bob bob 4096 Oct 22 11:01 ..\r\n-rw-r--r-- 1 bob bob 2332 Oct 22 10:56 TASK.md\r\n-rw-r--r-- 1 bob bob 1582 Oct 22 10:56 input.json\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 3, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.037371678, "usage": {"input_tokens": 9024, "output_tokens": 66, "thinking_tokens": 15, "cache_read_tokens": 0, "total_tokens": 9090}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 4, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/TASK.md"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 4, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.052312768, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/TASK.md"}, "output": "24 lines, 2332 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 5, "state": "DONE", "step_type": "agent_response", "duration_seconds": 1.8253672509999999, "usage": {"input_tokens": 10012, "output_tokens": 61, "thinking_tokens": 10, "cache_read_tokens": 0, "total_tokens": 10073}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 6, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/input.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 6, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.063173601, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/input.json"}, "output": "196 lines, 1582 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 7, "state": "DONE", "step_type": "agent_response", "duration_seconds": 28.718949587, "usage": {"input_tokens": 12157, "output_tokens": 6315, "thinking_tokens": 6135, "cache_read_tokens": 0, "total_tokens": 18472}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 8, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json\n\nwith open('input.json') as f:\n    data = json.load(f)\n\nprint('window_hours:', data.get('window_hours'))\nprint('len tide_m:', len(data['tide_m']))\nprint('len wind_kt:', len(data['wind_kt']))\nprint('len pressure_hpa:', len(data['pressure_hpa']))\nprint('solunar_major:', data.get('solunar_major'))\nprint('solunar_minor:', data.get('solunar_minor'))\nprint('daylight:', data.get('daylight'))\n\""}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 8, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.454834, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json\n\nwith open('input.json') as f:\n    data = json.load(f)\n\nprint('window_hours:', data.get('window_hours'))\nprint('len tide_m:', len(data['tide_m']))\nprint('len wind_kt:', len(data['wind_kt']))\nprint('len pressure_hpa:', len(data['pressure_hpa']))\nprint('solunar_major:', data.get('solunar_major'))\nprint('solunar_minor:', data.get('solunar_minor'))\nprint('daylight:', data.get('daylight'))\n\""}, "output": "Command exited with code 0.\n\nCommand output:\nwindow_hours: 3\r\nlen tide_m: 49\r\nlen wind_kt: 48\r\nlen pressure_hpa: 48\r\nsolunar_major: [[6.75, 8.75], [19.15, 21.15], [31.55, 33.55], [43.95, 45.95]]\r\nsolunar_minor: [[12.95, 13.95], [25.35, 26.35], [37.75, 38.75]]\r\ndaylight: [[6, 18], [5, 18]]\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 9, "state": "DONE", "step_type": "agent_response", "duration_seconds": 6.373112411, "usage": {"input_tokens": 18718, "output_tokens": 1989, "thinking_tokens": 1308, "cache_read_tokens": 0, "total_tokens": 20707}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 10, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json\n\nwith open('input.json') as f:\n    data = json.load(f)\n\ntide = data['tide_m']\nwind = data['wind_kt']\npressure = data['pressure_hpa']\nsolunar_major = data.get('solunar_major', [])\nsolunar_minor = data.get('solunar_minor', [])\ndaylight = data['daylight']\nL = data['window_hours']\n\nscores = []\nunfishable = 0\n\nfor h in range(48):\n    w = wind[h]\n    if w > 20:\n        scores.append(None)\n        unfishable += 1\n        continue\n    \n    # solunar major\n    has_major = any(start < h + 1 a\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 10, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.298920212, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json\n\nwith open('input.json') as f:\n    data = json.load(f)\n\ntide = data['tide_m']\nwind = data['wind_kt']\npressure = data['pressure_hpa']\nsolunar_major = data.get('solunar_major', [])\nsolunar_minor = data.get('solunar_minor', [])\ndaylight = data['daylight']\nL = data['window_hours']\n\nscores = []\nunfishable = 0\n\nfor h in range(48):\n    w = wind[h]\n    if w > 20:\n        scores.append(None)\n        unfishable += 1\n        continue\n    \n    # solunar major\n    has_major = any(start < h + 1 a\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nh=00..05: [-1.0, -3.0, -1.0, -1.0, 0.0, -1.0]\r\nh=06..11: [5.0, 3.0, 4.0, 2.0, 2.0, 2.0]\r\nh=12..17: [3.5, 2.5, 0.0, 2.0, 2.0, 2.0]\r\nh=18..23: [1.0, 2.0, 1.0, 3.0, 0.0, 0.0]\r\nh=24..29: [0.0, 0.5, -0.5, 0.0, 1.0, 3.0]\r\nh=30..35: [2.0, 5.0, 3.0, None, 3.0, 2.0]\r\nh=36..41: [1.0, 3.5, 1.5, 1.0, 1.0, 1.0]\r\nh=42..47: [-1.0, 3.0, 2.0, 1.0, None, 0.0]\r\nunfishable count: 2\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 11, "state": "DONE", "step_type": "agent_response", "duration_seconds": 6.389535863, "usage": {"input_tokens": 4826, "output_tokens": 837, "thinking_tokens": 90, "cache_read_tokens": 16280, "total_tokens": 5663}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 12, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json\n\nwith open('input.json') as f:\n    data = json.load(f)\n\ntide = data['tide_m']\nwind = data['wind_kt']\npressure = data['pressure_hpa']\nsolunar_major = data.get('solunar_major', [])\nsolunar_minor = data.get('solunar_minor', [])\ndaylight = data['daylight']\nL = data['window_hours']\n\nscores = []\nfor h in range(48):\n    w = wind[h]\n    if w > 20:\n        scores.append(None)\n        continue\n    has_major = any(start < h + 1 and end > h for start, end in solunar_major)\n    has_minor = any(s\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 12, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.909603647, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport json\n\nwith open('input.json') as f:\n    data = json.load(f)\n\ntide = data['tide_m']\nwind = data['wind_kt']\npressure = data['pressure_hpa']\nsolunar_major = data.get('solunar_major', [])\nsolunar_minor = data.get('solunar_minor', [])\ndaylight = data['daylight']\nL = data['window_hours']\n\nscores = []\nfor h in range(48):\n    w = wind[h]\n    if w > 20:\n        scores.append(None)\n        continue\n    has_major = any(start < h + 1 and end > h for start, end in solunar_major)\n    has_minor = any(s\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nTop 10 candidates:\r\n{'start': 6, 'end': 9, 'score': 12.0}\r\n{'start': 29, 'end': 32, 'score': 10.0}\r\n{'start': 30, 'end': 33, 'score': 10.0}\r\n{'start': 7, 'end': 10, 'score': 9.0}\r\n{'start': 8, 'end': 11, 'score': 8.0}\r\n{'start': 11, 'end': 14, 'score': 8.0}\r\n{'start': 10, 'end': 13, 'score': 7.5}\r\n{'start': 5, 'end': 8, 'score': 7.0}\r\n{'start': 35, 'end': 38, 'score': 6.5}\r\n{'start': 9, 'end': 12, 'score': 6.0}\r\nSelected windows:\r\n{'start': 6, 'end': 9, 'score': 12.0}\r\n{'start': 29, 'end': 32, 'score': 10.0}\r\n{'start': 11, 'end': 14, 'score': 8.0}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 13, "state": "DONE", "step_type": "agent_response", "duration_seconds": 55.489906791, "usage": {"input_tokens": 6055, "output_tokens": 18686, "thinking_tokens": 15165, "cache_read_tokens": 16279, "total_tokens": 24741}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 14, "state": "ACTIVE", "step_type": "tool", "tool_name": "write_file", "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 14, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 0.217803994, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 15, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.936252768, "usage": {"input_tokens": 20693, "output_tokens": 72, "thinking_tokens": 22, "cache_read_tokens": 20403, "total_tokens": 20765}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 16, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 16, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.42424229, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}, "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 \"/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py\", line 274, in <module>\r\n    solve(inp, out)\r\n    ~~~~~^^^^^^^^^^\r\n  File \"/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py\", line 124, in solve\r\n    with open(answer_path, \"w\", encoding=\"utf-8\") as f:\r\n         ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\nOSError: [Errno 30] Read-only file system: 'answer.json'\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 17, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.169004878, "usage": {"input_tokens": 4762, "output_tokens": 257, "thinking_tokens": 201, "cache_read_tokens": 36718, "total_tokens": 5019}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 18, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 18, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.074616923, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}, "output": "Command exited with code 0.\n\nNo output from the command."}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 19, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.056994232, "usage": {"input_tokens": 5113, "output_tokens": 69, "thinking_tokens": 29, "cache_read_tokens": 36711, "total_tokens": 5182}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 20, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "cat answer.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 20, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.431795162, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "cat answer.json"}, "output": "Command exited with code 0.\n\nCommand output:\n{\r\n  \"hourly_scores\": [\r\n    -1.0,\r\n    -3.0,\r\n    -1.0,\r\n    -1.0,\r\n    0.0,\r\n    -1.0,\r\n    5.0,\r\n    3.0,\r\n    4.0,\r\n    2.0,\r\n    2.0,\r\n    2.0,\r\n    3.5,\r\n    2.5,\r\n    0.0,\r\n    2.0,\r\n    2.0,\r\n    2.0,\r\n    1.0,\r\n    2.0,\r\n    1.0,\r\n    3.0,\r\n    0.0,\r\n    0.0,\r\n    0.0,\r\n    0.5,\r\n    -0.5,\r\n    0.0,\r\n    1.0,\r\n    3.0,\r\n    2.0,\r\n    5.0,\r\n    3.0,\r\n    null,\r\n    3.0,\r\n    2.0,\r\n    1.0,\r\n    3.5,\r\n    1.5,\r\n    1.0,\r\n    1.0,\r\n    1.0,\r\n    -1.0,\r\n    3.0,\r\n    2.0,\r\n    1.0,\r\n    null,\r\n    0.0\r\n  ],\r\n  \"unfishable_hours\": 2,\r\n  \"windows\": [\r\n    {\r\n      \"start\": 6,\r\n      \"end\": 9,\r\n      \"score\": 12.0\r\n    },\r\n    {\r\n      \"start\": 29,\r\n      \"end\": 32,\r\n      \"score\": 10.0\r\n    },\r\n    {\r\n      \"start\": 11,\r\n      \"end\": 14,\r\n      \"score\": 8.0\r\n    }\r\n  ]\r\n}"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 21, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.6788063810000002, "usage": {"input_tokens": 5698, "output_tokens": 52, "thinking_tokens": 12, "cache_read_tokens": 36704, "total_tokens": 5750}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 22, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "cat windows.svg"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 22, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.340281382, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "cat windows.svg"}, "output": "Command exited with code 0.\n\nCommand output:\n<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 1000 450\" width=\"1000\" height=\"450\">\r\n  <rect width=\"1000\" height=\"450\" fill=\"#fcfcfc\"/>\r\n  <rect x=\"60\" y=\"60\" width=\"910\" height=\"330\" fill=\"#f8f9fa\" stroke=\"#dee2e6\" stroke-width=\"1\"/>\r\n  <rect x=\"173.75\" y=\"60\" width=\"227.50\" height=\"330\" fill=\"#fff9db\" opacity=\"0.6\"/>\r\n  <rect x=\"609.79\" y=\"60\" width=\"246.46\" height=\"330\" fill=\"#fff9db\" opacity=\"0.6\"/>\r\n  <line x1=\"60\" y1=\"280.00\" x2=\"970\" y2=\"280.00\" stroke=\"#adb5bd\" stroke-width=\"1.5\" stroke-dasharray=\"4,2\"/>\r\n  <line x1=\"515.00\" y1=\"60\" x2=\"515.00\" y2=\"390\" stroke=\"#495057\" stroke-width=\"1\" stroke-dasharray=\"6,4\"/>\r\n  <rect id=\"window-1\" x=\"173.75\" y=\"60.00\" width=\"56.88\" height=\"330.00\" fill=\"#ffd43b\" fill-opacity=\"0.35\" stroke=\"#f59f00\" stroke-width=\"2.5\" rx=\"4\"/>\r\n  <rect id=\"window-2\" x=\"609.79\" y=\"60.00\" width=\"56.88\" height=\"330.00\" fill=\"#74c0fc\" fill-opacity=\"0.35\" stroke=\"#1c7ed6\" stroke-width=\"2.5\" rx=\"4\"/>\r\n  <rect id=\"window-3\" x=\"268.54\" y=\"60.00\" width=\"56.88\" height=\"330.00\" fill=\"#69db7c\" fill-opacity=\"0.35\" stroke=\"#2f9e44\" stroke-width=\"2.5\" rx=\"4\"/>\r\n  <g id=\"hourly-bars\">\r\n    <rect x=\"61.00\" y=\"280.00\" width=\"16.96\" height=\"36.67\" fill=\"#ff8787\" stroke=\"#fa5252\" stroke-width=\"0.5\"/>\r\n    <rect x=\"79.96\" y=\"280.00\" width=\"16.96\" height=\"110.00\" fill=\"#ff8787\" stroke=\"#fa5252\" stroke-width=\"0.5\"/>\r\n    <rect x=\"98.92\" y=\"280.00\" width=\"16.96\" height=\"36.67\" fill=\"#ff8787\" stroke=\"#fa5252\" stroke-width=\"0.5\"/>\r\n    <rect x=\"117.88\" y=\"280.00\" width=\"16.96\" height=\"36.67\" fill=\"#ff8787\" stroke=\"#fa5252\" stroke-width=\"0.5\"/>\r\n    <rect x=\"136.83\" y=\"280.00\" width=\"16.96\" height=\"0.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"155.79\" y=\"280.00\" width=\"16.96\" height=\"36.67\" fill=\"#ff8787\" stroke=\"#fa5252\" stroke-width=\"0.5\"/>\r\n    <rect x=\"174.75\" y=\"96.67\" width=\"16.96\" height=\"183.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"193.71\" y=\"170.00\" width=\"16.96\" height=\"110.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"212.67\" y=\"133.33\" width=\"16.96\" height=\"146.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"231.62\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"250.58\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"269.54\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"288.50\" y=\"151.67\" width=\"16.96\" height=\"128.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"307.46\" y=\"188.33\" width=\"16.96\" height=\"91.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"326.42\" y=\"280.00\" width=\"16.96\" height=\"0.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"345.38\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"364.33\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"383.29\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"402.25\" y=\"243.33\" width=\"16.96\" height=\"36.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"421.21\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"440.17\" y=\"243.33\" width=\"16.96\" height=\"36.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"459.12\" y=\"170.00\" width=\"16.96\" height=\"110.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"478.08\" y=\"280.00\" width=\"16.96\" height=\"0.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"497.04\" y=\"280.00\" width=\"16.96\" height=\"0.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"516.00\" y=\"280.00\" width=\"16.96\" height=\"0.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"534.96\" y=\"261.67\" width=\"16.96\" height=\"18.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"553.92\" y=\"280.00\" width=\"16.96\" height=\"18.33\" fill=\"#ff8787\" stroke=\"#fa5252\" stroke-width=\"0.5\"/>\r\n    <rect x=\"572.88\" y=\"280.00\" width=\"16.96\" height=\"0.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"591.83\" y=\"243.33\" width=\"16.96\" height=\"36.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"610.79\" y=\"170.00\" width=\"16.96\" height=\"110.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"629.75\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"648.71\" y=\"96.67\" width=\"16.96\" height=\"183.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"667.67\" y=\"170.00\" width=\"16.96\" height=\"110.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"686.62\" y=\"60\" width=\"16.96\" height=\"330\" fill=\"#ffa8a8\" opacity=\"0.5\"/>\r\n    <rect x=\"705.58\" y=\"170.00\" width=\"16.96\" height=\"110.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"724.54\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"743.50\" y=\"243.33\" width=\"16.96\" height=\"36.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"762.46\" y=\"151.67\" width=\"16.96\" height=\"128.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"781.42\" y=\"225.00\" width=\"16.96\" height=\"55.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"800.38\" y=\"243.33\" width=\"16.96\" height=\"36.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"819.33\" y=\"243.33\" width=\"16.96\" height=\"36.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"838.29\" y=\"243.33\" width=\"16.96\" height=\"36.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"857.25\" y=\"280.00\" width=\"16.96\" height=\"36.67\" fill=\"#ff8787\" stroke=\"#fa5252\" stroke-width=\"0.5\"/>\r\n    <rect x=\"876.21\" y=\"170.00\" width=\"16.96\" height=\"110.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"895.17\" y=\"206.67\" width=\"16.96\" height=\"73.33\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"914.12\" y=\"243.33\" width=\"16.96\" height=\"36.67\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n    <rect x=\"933.08\" y=\"60\" width=\"16.96\" height=\"330\" fill=\"#ffa8a8\" opacity=\"0.5\"/>\r\n    <rect x=\"952.04\" y=\"280.00\" width=\"16.96\" height=\"0.00\" fill=\"#38d9a9\" stroke=\"#20c997\" stroke-width=\"0.5\"/>\r\n  </g>\r\n  <text x=\"60\" y=\"35\" font-family=\"sans-serif\" font-size=\"16\" font-weight=\"bold\" fill=\"#212529\">Fishing Trip Planner - 48h Hourly Scores &amp; Best Windows</text>\r\n  <text x=\"70\" y=\"78\" font-family=\"sans-serif\" font-size=\"12\" fill=\"#868e96\">Day 0</text>\r\n  <text x=\"525.0\" y=\"78\" font-family=\"sans-serif\" font-size=\"12\" fill=\"#868e96\">Day 1</text>\r\n  <text x=\"60.00\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">0h</text>\r\n  <text x=\"173.75\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">6h</text>\r\n  <text x=\"287.50\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">12h</text>\r\n  <text x=\"401.25\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">18h</text>\r\n  <text x=\"515.00\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">24h</text>\r\n  <text x=\"628.75\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">30h</text>\r\n  <text x=\"742.50\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">36h</text>\r\n  <text x=\"856.25\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">42h</text>\r\n  <text x=\"970.00\" y=\"410\" font-family=\"sans-serif\" font-size=\"11\" text-anchor=\"middle\" fill=\"#495057\">48h</text>\r\n  <text x=\"52\" y=\"394.00\" font-family=\"sans-serif\" font-size=\"10\" text-anchor=\"end\" fill=\"#6c757d\">-3</text>\r\n  <text x=\"52\" y=\"320.67\" font-family=\"sans-serif\" font-size=\"10\" text-anchor=\"end\" fill=\"#6c757d\">-1</text>\r\n  <text x=\"52\" y=\"247.33\" font-family=\"sans-serif\" font-size=\"10\" text-anchor=\"end\" fill=\"#6c757d\">1</text>\r\n  <text x=\"52\" y=\"174.00\" font-family=\"sans-serif\" font-size=\"10\" text-anchor=\"end\" fill=\"#6c757d\">3</text>\r\n  <text x=\"52\" y=\"100.67\" font-family=\"sans-serif\" font-size=\"10\" text-anchor=\"end\" fill=\"#6c757d\">5</text>\r\n</svg>\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 23, "state": "DONE", "step_type": "agent_response", "duration_seconds": 4.337178842, "usage": {"input_tokens": 6267, "output_tokens": 813, "thinking_tokens": 427, "cache_read_tokens": 40791, "total_tokens": 7080}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 24, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport xml.etree.ElementTree as ET\n\ntree = ET.parse('windows.svg')\nroot = tree.getroot()\n\nprint('Root tag:', root.tag)\nassert root.tag.endswith('svg')\n\n# Check hourly-bars\nbars = root.find('.//*[@id=\\\"hourly-bars\\\"]')\nprint('hourly-bars element:', bars is not None, bars.tag if bars is not None else None)\nassert bars is not None\n\n# Check windows\nfor i in [1, 2, 3]:\n    w = root.find(f'.//*[@id=\\\"window-{i}\\\"]')\n    print(f'window-{i}:', w is not None, w.tag if w is not None else None)\n    assert\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 24, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.351860048, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport xml.etree.ElementTree as ET\n\ntree = ET.parse('windows.svg')\nroot = tree.getroot()\n\nprint('Root tag:', root.tag)\nassert root.tag.endswith('svg')\n\n# Check hourly-bars\nbars = root.find('.//*[@id=\\\"hourly-bars\\\"]')\nprint('hourly-bars element:', bars is not None, bars.tag if bars is not None else None)\nassert bars is not None\n\n# Check windows\nfor i in [1, 2, 3]:\n    w = root.find(f'.//*[@id=\\\"window-{i}\\\"]')\n    print(f'window-{i}:', w is not None, w.tag if w is not None else None)\n    assert\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nRoot tag: {http://www.w3.org/2000/svg}svg\r\nhourly-bars element: True {http://www.w3.org/2000/svg}g\r\nwindow-1: True {http://www.w3.org/2000/svg}rect\r\nwindow-2: True {http://www.w3.org/2000/svg}rect\r\nwindow-3: True {http://www.w3.org/2000/svg}rect\r\nAll SVG assertions passed!\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 25, "state": "DONE", "step_type": "agent_response", "duration_seconds": 7.195662903, "usage": {"input_tokens": 3216, "output_tokens": 2188, "thinking_tokens": 1359, "cache_read_tokens": 44865, "total_tokens": 5404}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 26, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport random\nimport subprocess\nimport json\nimport os\nimport xml.etree.ElementTree as ET\n\nfor test_idx in range(5):\n    tide = [round(random.uniform(0, 3), 2) for _ in range(49)]\n    wind = [round(random.uniform(0, 30), 1) for _ in range(48)]\n    pressure = [round(random.uniform(990, 1030), 1) for _ in range(48)]\n    sol_maj = [[round(random.uniform(0, 40), 2), round(random.uniform(0, 48), 2)] for _ in range(random.randint(0, 5))]\n    # ensure start < end\n    sol_maj = [[min(a, b), max(a, b) + \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 26, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.225207576, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c \"\nimport random\nimport subprocess\nimport json\nimport os\nimport xml.etree.ElementTree as ET\n\nfor test_idx in range(5):\n    tide = [round(random.uniform(0, 3), 2) for _ in range(49)]\n    wind = [round(random.uniform(0, 30), 1) for _ in range(48)]\n    pressure = [round(random.uniform(990, 1030), 1) for _ in range(48)]\n    sol_maj = [[round(random.uniform(0, 40), 2), round(random.uniform(0, 48), 2)] for _ in range(random.randint(0, 5))]\n    # ensure start < end\n    sol_maj = [[min(a, b), max(a, b) + \u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nAll 5 random synthetic runs passed completely!\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 27, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.483038795, "usage": {"input_tokens": 5499, "output_tokens": 90, "thinking_tokens": 34, "cache_read_tokens": 44865, "total_tokens": 5589}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 28, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 28, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.083050804, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}, "output": "Command exited with code 0.\n\nNo output from the command."}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 29, "state": "DONE", "step_type": "agent_response", "duration_seconds": 3.097042029, "usage": {"input_tokens": 5684, "output_tokens": 53, "thinking_tokens": 17, "cache_read_tokens": 44857, "total_tokens": 5737}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 30, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "git status"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 30, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.405941533, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "git status"}, "output": "Command exited with code 128.\n\nCommand output:\nfatal: not a git repository (or any parent up to mount point /)\r\nStopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 31, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.220500974, "usage": {"input_tokens": 5869, "output_tokens": 51, "thinking_tokens": 14, "cache_read_tokens": 44849, "total_tokens": 5920}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 32, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 32, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.296788818, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la"}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 44\r\ndrwxr-xr-x 2 bob bob 4096 Oct 22 11:03 .\r\ndrwxrwxr-x 3 bob bob 4096 Oct 22 11:01 ..\r\n-rw-r--r-- 1 bob bob 2332 Oct 22 10:56 TASK.md\r\n-rw-rw-r-- 1 bob bob  716 Oct 22 11:03 answer.json\r\n-rw-r--r-- 1 bob bob 1582 Oct 22 10:56 input.json\r\n-rw-r--r-- 1 bob bob 9772 Oct 22 11:03 solve.py\r\n-rw-rw-r-- 1 bob bob 8450 Oct 22 11:03 windows.svg\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 33, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.6010866200000002, "usage": {"input_tokens": 2143, "output_tokens": 85, "thinking_tokens": 34, "cache_read_tokens": 48918, "total_tokens": 2228}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 34, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 34, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.058052167, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py"}, "output": "274 lines, 9772 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 35, "state": "DONE", "step_type": "agent_response", "duration_seconds": 4.936742586, "usage": {"input_tokens": 6852, "output_tokens": 504, "thinking_tokens": 179, "cache_read_tokens": 48929, "total_tokens": 7356}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 36, "state": "ACTIVE", "step_type": "tool", "tool_name": "edit_file", "tool_info": {"name": "edit_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 36, "state": "DONE", "step_type": "tool", "tool_name": "edit_file", "duration_seconds": 0.068370203, "tool_info": {"name": "edit_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 37, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.302766033, "usage": {"input_tokens": 3413, "output_tokens": 92, "thinking_tokens": 42, "cache_read_tokens": 52999, "total_tokens": 3505}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 38, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 38, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.412237272, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}, "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 \"/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py\", line 275, in <module>\r\n    solve(inp, out)\r\n    ~~~~~^^^^^^^^^^\r\n  File \"/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py\", line 124, in solve\r\n    with open(answer_path, \"w\", encoding=\"utf-8\") as f:\r\n         ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\nOSError: [Errno 30] Read-only file system: 'answer.json'\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 39, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.496263241, "usage": {"input_tokens": 3824, "output_tokens": 94, "thinking_tokens": 38, "cache_read_tokens": 52992, "total_tokens": 3918}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 40, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 40, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.122971863, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}, "output": "Command exited with code 0.\n\nNo output from the command."}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 41, "state": "DONE", "step_type": "agent_response", "duration_seconds": 3.6438515689999997, "usage": {"input_tokens": 4014, "output_tokens": 62, "thinking_tokens": 19, "cache_read_tokens": 52983, "total_tokens": 4076}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 42, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -l answer.json windows.svg"}}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 42, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.335615208, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -l answer.json windows.svg"}, "output": "Command exited with code 0.\n\nCommand output:\n-rw-rw-r-- 1 bob bob  716 Oct 22 11:04 answer.json\r\n-rw-rw-r-- 1 bob bob 8450 Oct 22 11:04 windows.svg\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "The fishing trip planner has been im"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "plemented in"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " [`solve.py`](file:///home/bob/usecase-runs/agy-"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "batch/out/ge"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "mini-3.8-flash-medium/k"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "03/work/solve.py) using only the Pyt"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "hon 3 standard library.\n"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n### Implementation Summary\n- **Hourly Score Cal"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "culation**:\n"}}
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{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "gned `null` "}}
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{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "or any major"}}
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{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "$, +1 if $d \\ge 0.15$).\n"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "  - Wind abo"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ve 10 kt ($-1$).\n  - Pressure change $\\Delta p ="}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " pressure[h]"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " - pressure[h-3]$ rounde"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "d to 6 decimals ($+1$ if $\\Delta p \\le -1.0$, $-"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "1$ if $\\Delt"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "a p \\ge +1.0$).\n  - Daylight checks per day ($-2"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "$ outside da"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ylight).\n  - Individual hourly score"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "s rounded to 2 decimal p"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "laces.\n- **Window Select"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ion**:\n  - Candidate windows of length $L$ requi"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ring all hou"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "rs to be fishable.\n  - C"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "andidate scores calculated as the su"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "m of hourly scores round"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ed to 2 decimals.\n  - Sorted by score descending"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ", then start"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " time ascending.\n  - Gre"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "edily selects up to 3 non-overlappin"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "g windows.\n- **SVG Gener"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ation**:\n  - Self-contai"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ned, static SVG written to [`windows"}}
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{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ut/gemini-3."}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "8-flash-medium/k03/work/"}}
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{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "atic rules (no external resources, handlers, or "}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "scripts).\n  - Contains `"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "<g id=\"hourl"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "y-bars\">` for hourly sco"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "re bars and `<rect id=\"window-N\">` f"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "or each selected window in answer order.\n\n### Ve"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "rification\n- Tested with"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " `python solve.py input.json answer."}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "json` to generate [`answer.json`](file:///home/bob/usecase-runs/agy-batc"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "h/out/gemini"}}
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{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "file:///home/bob/usecase"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-runs/agy-ba"}}
{"event": "step_update", "step_update": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "step_index": 43, "state": "DONE", "step_type": "agent_response", "text_delta": "tch/out/gemini-3.8-flash-medium/k03/work/windows.svg).\n- Verified XML schema, required IDs (`hourly-bars`, `window-1`, `window-2`, `window-3`), and absence of forbidden tags/attributes.\n- Verified on synthetic randomized fresh inputs across varying wind, tide, daylight, and window sizes.\n", "duration_seconds": 3.623612054, "usage": {"input_tokens": 4228, "output_tokens": 664, "thinking_tokens": 55, "cache_read_tokens": 52975, "total_tokens": 4892}}}
{"event": "result", "result": {"conversation_id": "f9b0e9cc-67e4-4566-b6e5-74dccf0d2aaa", "status": "SUCCESS", "response": "The fishing trip planner has been implemented in [`solve.py`](file:///home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/solve.py) using only the Python 3 standard library.\n\n### Implementation Summary\n- **Hourly Score Calculation**:\n  - Unfishable hours where wind > 20 kt are assigned `null` and ignored for subsequent checks.\n  - Overlapping Solunar periods (+3 for any major, +1.5 for any minor).\n  - Tide movement $d = |tide[h+1] - tide[h]|$ rounded to 6 decimals (+2 if $d \\ge 0.3$, +1 if $d \\ge 0.15$).\n  - Wind above 10 kt ($-1$).\n  - Pressure change $\\Delta p = pressure[h] - pressure[h-3]$ rounded to 6 decimals ($+1$ if $\\Delta p \\le -1.0$, $-1$ if $\\Delta p \\ge +1.0$).\n  - Daylight checks per day ($-2$ outside daylight).\n  - Individual hourly scores rounded to 2 decimal places.\n- **Window Selection**:\n  - Candidate windows of length $L$ requiring all hours to be fishable.\n  - Candidate scores calculated as the sum of hourly scores rounded to 2 decimals.\n  - Sorted by score descending, then start time ascending.\n  - Greedily selects up to 3 non-overlapping windows.\n- **SVG Generation**:\n  - Self-contained, static SVG written to [`windows.svg`](file:///home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/windows.svg) adhering to headless static rules (no external resources, handlers, or scripts).\n  - Contains `<g id=\"hourly-bars\">` for hourly score bars and `<rect id=\"window-N\">` for each selected window in answer order.\n\n### Verification\n- Tested with `python solve.py input.json answer.json` to generate [`answer.json`](file:///home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/answer.json) and [`windows.svg`](file:///home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k03/work/windows.svg).\n- Verified XML schema, required IDs (`hourly-bars`, `window-1`, `window-2`, `window-3`), and absence of forbidden tags/attributes.\n- Verified on synthetic randomized fresh inputs across varying wind, tide, daylight, and window sizes.\n", "duration_seconds": 156.035014835, "num_turns": 1, "usage": {"input_tokens": 156638, "output_tokens": 33350, "thinking_tokens": 25418, "cache_read_tokens": 693118, "total_tokens": 189988}}}