Gemini 3.8 Flash (effort medium · thinking on) on Go/no-go departure time from a gridded wind file
GGemini 3.8 Flashmedium · thinking on · Antigravity CLI 1.4.5 (agy -p) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.33
- Wall time
- 3m
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Go/no-go departure time from a gridded wind file `input.json` (synthetic; not a forecast) names `grid.json` and gives `from` and `to` [lat, lon], `passage_hours` D (integer), `latest_departure_h`, and `limits`. `grid.json` has `lats`, `lons`, `times_h` (ascending) and fields `u_kt`, `v_kt` (eastward/northward wind components, knots, the direction the air moves TOWARD) and `gust_kt`, each indexed `[time][lat][lon]`. Write `solve.py` (Python 3 standard library only); `python solve.py input.json answer.json` writes `answer.json` and `window.svg`. Fresh inputs are used too. ## Rules 1. Interpolation of each field: bilinear in (lat, lon) at the two bracketing grid times, then linear in time. Outside a grid axis, clamp to its edge. 2. Course = atan2((lon_to - lon_from) * cos(mean lat), lat_to - lat_from) in degrees mod 360. 3. For every integer departure hour t0 = 0 .. latest_departure_h: sample k = 0..D at time t0 + k and position from + (to - from) * k / D (straight in lat/lon). At each sample: wind speed = hypot(u, v); wind FROM direction = atan2(-u, -v) mod 360; off = smallest angle between it and the course. The sample fails, checked in this order, with reason `wind@<t>` if speed > max_wind_kt, `gust@<t>` if gust > max_gust_kt, `headwind@<t>` if off < min_wind_angle_deg and speed > headwind_max_kt. Stop at the first failing sample; that departure is not ok and its reason is recorded (t as an integer). Otherwise ok with reason null. 4. `earliest_ok_h`: first ok departure or null. `longest_ok_run`: [first, last] departure hours of the longest run of consecutive ok departures (earliest wins ties), or null. ## Visual output: window.svg Static, self-contained SVG (root `<svg>`, no scripts, images, links or external assets; renders headless) with an element `id="timeline"` (one mark per departure hour) and an element `id="best-departure"`. The drawing itself is not graded. ## answer.json `{"course_deg", "departures": [{"depart_h", "ok", "reason"}, ...], "earliest_ok_h", "longest_ok_run"}` ## Scoring Hidden checks (partial credit; all must pass): `course` (within 0.11), `departure_flags` (ok flags), `failure_reasons` (exact), `best_departure`, `window_svg_static` (window.svg exists, follows the static rules, has the ids above), `fresh_run_1`, `fresh_run_2`. 60-second limit per run.
Space-time interpolation of vector components (not speed and direction), the toward/from convention, ordered failure reasons per sample along a moving position, and run-length 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. course 2. departure_flags 3. failure_reasons 4. best_departure 5. window_svg_static 6. fresh_run_1 7. fresh_run_2
Setup notes: Use Case Scout batch10 case k10-wind-grid-departure (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 (window.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: 7/7. Cost is an ESTIMATE: measured tokens x pricing.json list price (Google account, nothing billed per token); output_tokens include thinking tokens. Tool calls 24 (0 failed). Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.33
- Wall time
- 3m
- Human step-ins
- 0
- Turns
- 25
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| GGemini 3.8 Flashgoogle/gemini-3.8-flasheffort medium · thinking on | 963,752 | 38,454 | $0.33 |
Reproduce this run
- Use the use case prompt on the use case page.
- 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. course 2. departure_flags 3. failure_reasons 4. best_departure 5. window_svg_static 6. fresh_run_1 7. 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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "init": {"model": "gemini-3.8-flash-medium", "cwd": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 0, "state": "DONE", "step_type": "user_input"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 3.291757111, "usage": {"input_tokens": 8516, "output_tokens": 140, "thinking_tokens": 103, "cache_read_tokens": 0, "total_tokens": 8656}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 2, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.255161158, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la"}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 20\r\ndrwxr-xr-x 2 bob bob 4096 Oct 22 10:56 .\r\ndrwxrwxr-x 3 bob bob 4096 Oct 22 12:20 ..\r\n-rw-r--r-- 1 bob bob 2322 Oct 22 10:56 TASK.md\r\n-rw-r--r-- 1 bob bob 3296 Oct 22 10:56 grid.json\r\n-rw-r--r-- 1 bob bob 251 Oct 22 10:56 input.json\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 3, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.01888657, "usage": {"input_tokens": 8888, "output_tokens": 71, "thinking_tokens": 20, "cache_read_tokens": 0, "total_tokens": 8959}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "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/k10/work/TASK.md"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 4, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.0483297, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/TASK.md"}, "output": "18 lines, 2322 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 5, "state": "DONE", "step_type": "agent_response", "duration_seconds": 3.141576883, "usage": {"input_tokens": 9808, "output_tokens": 66, "thinking_tokens": 15, "cache_read_tokens": 0, "total_tokens": 9874}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "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/k10/work/input.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 6, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.13565667, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/input.json"}, "output": "19 lines, 251 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 7, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.701496482, "usage": {"input_tokens": 10169, "output_tokens": 82, "thinking_tokens": 20, "cache_read_tokens": 0, "total_tokens": 10251}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 8, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"EndLine": 50, "Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/grid.json", "StartLine": 1}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 8, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.058256191, "tool_info": {"name": "read_file", "parameters": {"EndLine": 50, "Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/grid.json", "StartLine": 1}, "output": "1 lines, 3296 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 9, "state": "DONE", "step_type": "agent_response", "duration_seconds": 21.747404802, "usage": {"input_tokens": 13045, "output_tokens": 7327, "thinking_tokens": 7289, "cache_read_tokens": 0, "total_tokens": 20372}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 10, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "git status || true"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 10, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.281090287, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "git status || true"}, "output": "Command exited with code 0.\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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 11, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.392730107, "usage": {"input_tokens": 20494, "output_tokens": 107, "thinking_tokens": 69, "cache_read_tokens": 0, "total_tokens": 20601}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 12, "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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 12, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.291031695, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la .."}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 24\r\ndrwxrwxr-x 3 bob bob 4096 Oct 22 12:20 .\r\ndrwxrwxr-x 20 bob bob 4096 Oct 22 12:20 ..\r\n-rw-rw-r-- 1 bob bob 7272 Oct 22 12:21 events.jsonl\r\n-rw-rw-r-- 1 bob bob 103 Oct 22 12:20 meta.txt\r\n-rw-rw-r-- 1 bob bob 0 Oct 22 12:20 stderr.txt\r\ndrwxr-xr-x 2 bob bob 4096 Oct 22 10:56 work\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 13, "state": "DONE", "step_type": "agent_response", "duration_seconds": 9.207703173, "usage": {"input_tokens": 4587, "output_tokens": 1589, "thinking_tokens": 1399, "cache_read_tokens": 16271, "total_tokens": 6176}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 14, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport math\nfrom_lat, from_lon = 30.975, -42.104\nto_lat, to_lon = 31.979, -41.117\nmean_lat = (to_lat + from_lat) / 2.0\nmean_lat_rad = math.radians(mean_lat)\ny = (to_lon - from_lon) * math.cos(mean_lat_rad)\nx = to_lat - from_lat\ncourse = math.degrees(math.atan2(y, x)) % 360\nprint(f\"course: {course}\")\n'"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 14, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.303692588, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport math\nfrom_lat, from_lon = 30.975, -42.104\nto_lat, to_lon = 31.979, -41.117\nmean_lat = (to_lat + from_lat) / 2.0\nmean_lat_rad = math.radians(mean_lat)\ny = (to_lon - from_lon) * math.cos(mean_lat_rad)\nx = to_lat - from_lat\ncourse = math.degrees(math.atan2(y, x)) % 360\nprint(f\"course: {course}\")\n'"}, "output": "Command exited with code 0.\n\nCommand output:\ncourse: 39.976776556045984\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 15, "state": "DONE", "step_type": "agent_response", "duration_seconds": 14.122512283, "usage": {"input_tokens": 2213, "output_tokens": 2890, "thinking_tokens": 2095, "cache_read_tokens": 20341, "total_tokens": 5103}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 16, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, bisect, math\n\nwith open(\"input.json\") as f:\n inp = json.load(f)\nwith open(\"grid.json\") as f:\n grid = json.load(f)\n\ndef get_bracket_and_weight(axis, val):\n val = min(max(val, axis[0]), axis[-1])\n if len(axis) == 1:\n return 0, 0, 0.0\n idx = bisect.bisect_right(axis, val) - 1\n if idx < 0:\n idx = 0\n if idx >= len(axis) - 1:\n idx = len(axis) - 2\n x0 = axis[idx]\n x1 = axis[idx + 1]\n w = (val - x0) / (x1 - x0) if x1 != x0 else 0.0\n ret\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 16, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.310603706, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, bisect, math\n\nwith open(\"input.json\") as f:\n inp = json.load(f)\nwith open(\"grid.json\") as f:\n grid = json.load(f)\n\ndef get_bracket_and_weight(axis, val):\n val = min(max(val, axis[0]), axis[-1])\n if len(axis) == 1:\n return 0, 0, 0.0\n idx = bisect.bisect_right(axis, val) - 1\n if idx < 0:\n idx = 0\n if idx >= len(axis) - 1:\n idx = len(axis) - 2\n x0 = axis[idx]\n x1 = axis[idx + 1]\n w = (val - x0) / (x1 - x0) if x1 != x0 else 0.0\n ret\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nt=0 at from: u=4.352, v=9.817, gust=14.588\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 17, "state": "DONE", "step_type": "agent_response", "duration_seconds": 10.020643602, "usage": {"input_tokens": 5211, "output_tokens": 1964, "thinking_tokens": 704, "cache_read_tokens": 20349, "total_tokens": 7175}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 18, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, bisect, math\n\nwith open(\"input.json\") as f:\n inp = json.load(f)\nwith open(\"grid.json\") as f:\n grid = json.load(f)\n\ndef get_bracket_and_weight(axis, val):\n val = min(max(val, axis[0]), axis[-1])\n if len(axis) == 1:\n return 0, 0, 0.0\n idx = bisect.bisect_right(axis, val) - 1\n if idx < 0:\n idx = 0\n if idx >= len(axis) - 1:\n idx = len(axis) - 2\n x0 = axis[idx]\n x1 = axis[idx + 1]\n w = (val - x0) / (x1 - x0) if x1 != x0 else 0.0\n ret\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 18, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.326046385, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, bisect, math\n\nwith open(\"input.json\") as f:\n inp = json.load(f)\nwith open(\"grid.json\") as f:\n grid = json.load(f)\n\ndef get_bracket_and_weight(axis, val):\n val = min(max(val, axis[0]), axis[-1])\n if len(axis) == 1:\n return 0, 0, 0.0\n idx = bisect.bisect_right(axis, val) - 1\n if idx < 0:\n idx = 0\n if idx >= len(axis) - 1:\n idx = len(axis) - 2\n x0 = axis[idx]\n x1 = axis[idx + 1]\n w = (val - x0) / (x1 - x0) if x1 != x0 else 0.0\n ret\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\n{'depart_h': 0, 'ok': False, 'reason': 'wind@6'}\r\n{'depart_h': 1, 'ok': False, 'reason': 'wind@6'}\r\n{'depart_h': 2, 'ok': False, 'reason': 'gust@6'}\r\n{'depart_h': 3, 'ok': False, 'reason': 'gust@6'}\r\n{'depart_h': 4, 'ok': False, 'reason': 'gust@6'}\r\n{'depart_h': 5, 'ok': False, 'reason': 'gust@6'}\r\n{'depart_h': 6, 'ok': False, 'reason': 'gust@6'}\r\n{'depart_h': 7, 'ok': False, 'reason': 'wind@7'}\r\n{'depart_h': 8, 'ok': False, 'reason': 'wind@8'}\r\n{'depart_h': 9, 'ok': False, 'reason': 'wind@9'}\r\n{'depart_h': 10, 'ok': False, 'reason': 'gust@10'}\r\n{'depart_h': 11, 'ok': False, 'reason': 'gust@11'}\r\n{'depart_h': 12, 'ok': True, 'reason': None}\r\n{'depart_h': 13, 'ok': True, 'reason': None}\r\n{'depart_h': 14, 'ok': True, 'reason': None}\r\n{'depart_h': 15, 'ok': True, 'reason': None}\r\n{'depart_h': 16, 'ok': True, 'reason': None}\r\n{'depart_h': 17, 'ok': True, 'reason': None}\r\n{'depart_h': 18, 'ok': True, 'reason': None}\r\n{'depart_h': 19, 'ok': True, 'reason': None}\r\n{'depart_h': 20, 'ok': True, 'reason': None}\r\n{'depart_h': 21, 'ok': True, 'reason': None}\r\n{'depart_h': 22, 'ok': True, 'reason': None}\r\n{'depart_h': 23, 'ok': True, 'reason': None}\r\n{'depart_h': 24, 'ok': True, 'reason': None}\r\n{'depart_h': 25, 'ok': True, 'reason': None}\r\n{'depart_h': 26, 'ok': True, 'reason': None}\r\n{'depart_h': 27, 'ok': True, 'reason': None}\r\n{'depart_h': 28, 'ok': True, 'reason': None}\r\n{'depart_h': 29, 'ok': True, 'reason': None}\r\n{'depart_h': 30, 'ok': True, 'reason': None}\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 19, "state": "DONE", "step_type": "agent_response", "duration_seconds": 35.615759394, "usage": {"input_tokens": 3832, "output_tokens": 13022, "thinking_tokens": 12558, "cache_read_tokens": 24425, "total_tokens": 16854}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 20, "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\nsvg_text = \"\"\"<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 1000 320\" width=\"1000\" height=\"320\">\n <rect width=\"1000\" height=\"320\" fill=\"#1e293b\"/>\n <text x=\"50\" y=\"40\" font-family=\"sans-serif\" font-size=\"20\" font-weight=\"bold\" fill=\"#f8fafc\">Departure Weather Window</text>\n <g id=\"timeline\">\n <rect id=\"hour-0\" x=\"50\" y=\"100\" width=\"20\" height=\"60\" fill=\"#ef4444\"/>\n <rect id=\"hour-1\" x=\"75\" y=\"100\" width=\"20\" height=\"60\" fill=\"#22c55e\"/>\n </g>\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 20, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.330894247, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport xml.etree.ElementTree as ET\n\nsvg_text = \"\"\"<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 1000 320\" width=\"1000\" height=\"320\">\n <rect width=\"1000\" height=\"320\" fill=\"#1e293b\"/>\n <text x=\"50\" y=\"40\" font-family=\"sans-serif\" font-size=\"20\" font-weight=\"bold\" fill=\"#f8fafc\">Departure Weather Window</text>\n <g id=\"timeline\">\n <rect id=\"hour-0\" x=\"50\" y=\"100\" width=\"20\" height=\"60\" fill=\"#ef4444\"/>\n <rect id=\"hour-1\" x=\"75\" y=\"100\" width=\"20\" height=\"60\" fill=\"#22c55e\"/>\n </g>\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nTag: {http://www.w3.org/2000/svg}svg\r\nTimeline found: True\r\nBest departure found: True\r\nTimeline marks count: 2\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 21, "state": "DONE", "step_type": "agent_response", "duration_seconds": 14.201778854, "usage": {"input_tokens": 16936, "output_tokens": 5436, "thinking_tokens": 1556, "cache_read_tokens": 24467, "total_tokens": 22372}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 22, "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/k10/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 22, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 0.073806014, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 23, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.31592123, "usage": {"input_tokens": 6124, "output_tokens": 70, "thinking_tokens": 24, "cache_read_tokens": 40791, "total_tokens": 6194}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 24, "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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 24, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.408420453, "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/k10/work/solve.py\", line 285, in <module>\r\n main()\r\n ~~~~^^\r\n File \"/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/solve.py\", line 274, in main\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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 25, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.062696839, "usage": {"input_tokens": 2428, "output_tokens": 116, "thinking_tokens": 78, "cache_read_tokens": 44862, "total_tokens": 2544}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 26, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "touch test.txt"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 26, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.307932337, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "touch test.txt"}, "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:\ntouch: cannot touch 'test.txt': Read-only file system\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 27, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.30078052, "usage": {"input_tokens": 2702, "output_tokens": 260, "thinking_tokens": 208, "cache_read_tokens": 44854, "total_tokens": 2962}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 28, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.329617645, "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": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 29, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.267579228, "usage": {"input_tokens": 3057, "output_tokens": 97, "thinking_tokens": 46, "cache_read_tokens": 44846, "total_tokens": 3154}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 30, "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/k10/work/answer.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 30, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.055126681, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/answer.json"}, "output": "165 lines, 2471 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 31, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.493387843, "usage": {"input_tokens": 4850, "output_tokens": 61, "thinking_tokens": 10, "cache_read_tokens": 44844, "total_tokens": 4911}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 32, "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/k10/work/window.svg"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 32, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.039384345, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/window.svg"}, "output": "60 lines, 7396 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 33, "state": "DONE", "step_type": "agent_response", "duration_seconds": 4.022166893, "usage": {"input_tokens": 4684, "output_tokens": 345, "thinking_tokens": 19, "cache_read_tokens": 48929, "total_tokens": 5029}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 34, "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(\"window.svg\")\nroot = tree.getroot()\nprint(\"Root tag:\", root.tag)\nassert root.tag.endswith(\"svg\"), \"Root is not svg\"\ntimeline = root.find(\".//*[@id=\\\"timeline\\\"]\")\nassert timeline is not None, \"Missing #timeline\"\nbest_dep = root.find(\".//*[@id=\\\"best-departure\\\"]\")\nassert best_dep is not None, \"Missing #best-departure\"\nprint(\"Number of marks in timeline:\", len(timeline))\nassert len(timeline) == 31, f\"Expected 31 marks, got {len(timeline)}\"\nfor \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 34, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.311193565, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport xml.etree.ElementTree as ET\n\ntree = ET.parse(\"window.svg\")\nroot = tree.getroot()\nprint(\"Root tag:\", root.tag)\nassert root.tag.endswith(\"svg\"), \"Root is not svg\"\ntimeline = root.find(\".//*[@id=\\\"timeline\\\"]\")\nassert timeline is not None, \"Missing #timeline\"\nbest_dep = root.find(\".//*[@id=\\\"best-departure\\\"]\")\nassert best_dep is not None, \"Missing #best-departure\"\nprint(\"Number of marks in timeline:\", len(timeline))\nassert len(timeline) == 31, f\"Expected 31 marks, got {len(timeline)}\"\nfor \u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nRoot tag: {http://www.w3.org/2000/svg}svg\r\nNumber of marks in timeline: 31\r\nAll static SVG checks passed successfully!\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 35, "state": "DONE", "step_type": "agent_response", "duration_seconds": 3.906121254, "usage": {"input_tokens": 5161, "output_tokens": 455, "thinking_tokens": 190, "cache_read_tokens": 48922, "total_tokens": 5616}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 36, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, tempfile, subprocess, os, math\n\n# Test 1: Tie in longest_ok_run\n# Suppose ok at 1, 2 (len 2) and 4, 5 (len 2)\n# Earliest should win tie -> [1, 2]\nfrom solve import compute_course, smallest_angle\n\nprint(\"Testing smallest_angle...\")\nassert smallest_angle(0, 0) == 0\nassert smallest_angle(10, 350) == 20\nassert smallest_angle(350, 10) == 20\nassert smallest_angle(0, 180) == 180\nassert smallest_angle(180, 0) == 180\nassert smallest_angle(5, 185) == 180\nassert smallest_angle(5, 186) == 179\n\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 36, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.137519993, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, tempfile, subprocess, os, math\n\n# Test 1: Tie in longest_ok_run\n# Suppose ok at 1, 2 (len 2) and 4, 5 (len 2)\n# Earliest should win tie -> [1, 2]\nfrom solve import compute_course, smallest_angle\n\nprint(\"Testing smallest_angle...\")\nassert smallest_angle(0, 0) == 0\nassert smallest_angle(10, 350) == 20\nassert smallest_angle(350, 10) == 20\nassert smallest_angle(0, 180) == 180\nassert smallest_angle(180, 0) == 180\nassert smallest_angle(5, 185) == 180\nassert smallest_angle(5, 186) == 179\n\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nTesting smallest_angle...\r\nsmallest_angle tests passed.\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 37, "state": "DONE", "step_type": "agent_response", "duration_seconds": 5.631609786, "usage": {"input_tokens": 5721, "output_tokens": 1925, "thinking_tokens": 20, "cache_read_tokens": 48915, "total_tokens": 7646}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 38, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, tempfile, subprocess, os, math\n\n# Create a temporary directory for tests\nwith tempfile.TemporaryDirectory() as tmpdir:\n # Minimal grid\n grid = {\n \"lats\": [0.0, 10.0],\n \"lons\": [0.0, 10.0],\n \"times_h\": [0, 5],\n # u=10, v=0 -> speed=10, toward East, from West (270)\n \"u_kt\": [[[10.0, 10.0], [10.0, 10.0]], [[10.0, 10.0], [10.0, 10.0]]],\n \"v_kt\": [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n \"gust_kt\": [[[15.0, 15.0], [15.0\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 38, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.322440822, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, tempfile, subprocess, os, math\n\n# Create a temporary directory for tests\nwith tempfile.TemporaryDirectory() as tmpdir:\n # Minimal grid\n grid = {\n \"lats\": [0.0, 10.0],\n \"lons\": [0.0, 10.0],\n \"times_h\": [0, 5],\n # u=10, v=0 -> speed=10, toward East, from West (270)\n \"u_kt\": [[[10.0, 10.0], [10.0, 10.0]], [[10.0, 10.0], [10.0, 10.0]]],\n \"v_kt\": [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n \"gust_kt\": [[[15.0, 15.0], [15.0\u2026"}, "output": "Command exited with code 1.\n\nCommand output:\n File \"<string>\", line 51\r\n assert d[\"reason\"] == f\"headwind@{d[\\\"depart_h\\\"]}\"\r\n ^\r\nSyntaxError: unexpected character after line continuation character\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 39, "state": "DONE", "step_type": "agent_response", "duration_seconds": 7.546122398, "usage": {"input_tokens": 3700, "output_tokens": 1638, "thinking_tokens": 11, "cache_read_tokens": 52991, "total_tokens": 5338}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 40, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, tempfile, subprocess, os, math\n\nwith tempfile.TemporaryDirectory() as tmpdir:\n grid = {\n \"lats\": [0.0, 10.0],\n \"lons\": [0.0, 10.0],\n \"times_h\": [0, 5],\n \"u_kt\": [[[10.0, 10.0], [10.0, 10.0]], [[10.0, 10.0], [10.0, 10.0]]],\n \"v_kt\": [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n \"gust_kt\": [[[15.0, 15.0], [15.0, 15.0]], [[15.0, 15.0], [15.0, 15.0]]]\n }\n grid_path = os.path.join(tmpdir, \"grid.json\")\n with open(grid_path, \"\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 40, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.186702302, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, tempfile, subprocess, os, math\n\nwith tempfile.TemporaryDirectory() as tmpdir:\n grid = {\n \"lats\": [0.0, 10.0],\n \"lons\": [0.0, 10.0],\n \"times_h\": [0, 5],\n \"u_kt\": [[[10.0, 10.0], [10.0, 10.0]], [[10.0, 10.0], [10.0, 10.0]]],\n \"v_kt\": [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n \"gust_kt\": [[[15.0, 15.0], [15.0, 15.0]], [[15.0, 15.0], [15.0, 15.0]]]\n }\n grid_path = os.path.join(tmpdir, \"grid.json\")\n with open(grid_path, \"\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nTest Headwind ans:\r\ncourse: 270.0\r\ndepartures: [{'depart_h': 0, 'ok': False, 'reason': 'headwind@0'}, {'depart_h': 1, 'ok': False, 'reason': 'headwind@1'}, {'depart_h': 2, 'ok': False, 'reason': 'headwind@2'}]\r\nAll synthetic tests passed!\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 41, "state": "DONE", "step_type": "agent_response", "duration_seconds": 2.001269308, "usage": {"input_tokens": 5516, "output_tokens": 99, "thinking_tokens": 44, "cache_read_tokens": 52990, "total_tokens": 5615}}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 42, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json"}}}}
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{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 43, "state": "DONE", "step_type": "agent_response", "duration_seconds": 1.7441499139999999, "usage": {"input_tokens": 5710, "output_tokens": 59, "thinking_tokens": 21, "cache_read_tokens": 52982, "total_tokens": 5769}}}
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{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 44, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.30001955, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la"}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 48\r\ndrwxr-xr-x 3 bob bob 4096 Oct 22 12:22 .\r\ndrwxrwxr-x 3 bob bob 4096 Oct 22 12:20 ..\r\n-rw-r--r-- 1 bob bob 2322 Oct 22 10:56 TASK.md\r\ndrwxrwxr-x 2 bob bob 4096 Oct 22 12:22 __pycache__\r\n-rw-rw-r-- 1 bob bob 2471 Oct 22 12:23 answer.json\r\n-rw-r--r-- 1 bob bob 3296 Oct 22 10:56 grid.json\r\n-rw-r--r-- 1 bob bob 251 Oct 22 10:56 input.json\r\n-rw-r--r-- 1 bob bob 10509 Oct 22 12:22 solve.py\r\n-rw-rw-r-- 1 bob bob 7396 Oct 22 12:23 window.svg\r\n"}}}
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{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`solve.py` has been implemented usin"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "g only the P"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ython 3 standard library"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".\n\n### Implementation Summary\n1. **I"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "nterpolation**:\n - Bra"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "cketing coordinates on `"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "(lat, lon)` "}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "and `times_h` are clampe"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "d to grid boundaries.\n - Bilinear "}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "interpolation is applied"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " in `(lat, lon)` at the two bracketing time slic"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "es, followed"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " by linear interpolation"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " across time.\n2. **Course & Angles**"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ":\n - Course bearing is computed using nautical"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " geometry $\\text{atan2}("}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "(\\text{lon}_"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "{\\text{to}} - \\text{lon}_{\\text{from}}) \\cdot \\c"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "os(\\text{mea"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "n\\_lat}), \\text{lat}_{\\t"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ext{to}} - \\text{lat}_{\\text{from}}) \\pmod{360}$"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".\n - Wind "}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "FROM direction is computed via $\\text{atan2}(-u,"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " -v) \\pmod{3"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "60}$, and the smallest angular difference relati"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ve to course"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " is used to assess headw"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ind angle.\n3. **Go / No-"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Go Constraints**:\n - F"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "or departure hours $t_0 \\in [0, \\tex"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "t{latest\\_de"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "parture\\_h}]$, waypoints"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " $k \\in [0, D]$ are samp"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "led at $t = t_0 + k$.\n - Failures "}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "are evaluated in exact p"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "riority order: `wind@<t>`, `gust@<t>"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`, then `headwind@<t>`. "}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Evaluation halts at the first failin"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "g sample for each depart"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ure hour.\n - Consecuti"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ve OK runs are tracked with tie-brea"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "king favoring the earliest departure window.\n4. "}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "**Outputs**:\n - Writes `answer.jso"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "n` formatted with `course_deg`, `departures`, `e"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "arliest_ok_h`, and `long"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "est_ok_run`."}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n - Generates static, "}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "self-contain"}}
{"event": "step_update", "step_update": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "step_index": 49, "state": "DONE", "step_type": "agent_response", "text_delta": "ed SVG [window.svg](file:///home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/window.svg) containing `<g id=\"timeline\">` with one mark per tested departure hour and `<g id=\"best-departure\">`.\n", "duration_seconds": 4.339153473, "usage": {"input_tokens": 3228, "output_tokens": 469, "thinking_tokens": 21, "cache_read_tokens": 57037, "total_tokens": 3697}}}
{"event": "result", "result": {"conversation_id": "e7b71030-72d8-4949-af61-ff388c81d3ca", "status": "SUCCESS", "response": "`solve.py` has been implemented using only the Python 3 standard library.\n\n### Implementation Summary\n1. **Interpolation**:\n - Bracketing coordinates on `(lat, lon)` and `times_h` are clamped to grid boundaries.\n - Bilinear interpolation is applied in `(lat, lon)` at the two bracketing time slices, followed by linear interpolation across time.\n2. **Course & Angles**:\n - Course bearing is computed using nautical geometry $\\text{atan2}((\\text{lon}_{\\text{to}} - \\text{lon}_{\\text{from}}) \\cdot \\cos(\\text{mean\\_lat}), \\text{lat}_{\\text{to}} - \\text{lat}_{\\text{from}}) \\pmod{360}$.\n - Wind FROM direction is computed via $\\text{atan2}(-u, -v) \\pmod{360}$, and the smallest angular difference relative to course is used to assess headwind angle.\n3. **Go / No-Go Constraints**:\n - For departure hours $t_0 \\in [0, \\text{latest\\_departure\\_h}]$, waypoints $k \\in [0, D]$ are sampled at $t = t_0 + k$.\n - Failures are evaluated in exact priority order: `wind@<t>`, `gust@<t>`, then `headwind@<t>`. Evaluation halts at the first failing sample for each departure hour.\n - Consecutive OK runs are tracked with tie-breaking favoring the earliest departure window.\n4. **Outputs**:\n - Writes `answer.json` formatted with `course_deg`, `departures`, `earliest_ok_h`, and `longest_ok_run`.\n - Generates static, self-contained SVG [window.svg](file:///home/bob/usecase-runs/agy-batch/out/gemini-3.8-flash-medium/k10/work/window.svg) containing `<g id=\"timeline\">` with one mark per tested departure hour and `<g id=\"best-departure\">`.\n", "duration_seconds": 166.609522957, "num_turns": 1, "usage": {"input_tokens": 160845, "output_tokens": 38454, "thinking_tokens": 26577, "cache_read_tokens": 802907, "total_tokens": 199299}}}