Gemini 4 Argon (effort medium · thinking on) on Model a game-ready low-poly 3D prop from a one-line brief, within a tight triangle budget
GGemini 4 Argonmedium · thinking on · Antigravity CLI 1.4.8 (agy -p) · cloud · 2026-10-28 · by @bobsiopener
- Estimated cost
- $0.26
- Wall time
- 4m
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Game-ready low-poly 3D asset from a one-line brief `asset.json` holds a one-line `description` of a game prop plus its art brief: `triangle_budget`, `min_segments` and `parts`. Write `solve.py` (Python 3 standard library only; no Blender or other 3D tools are needed or assumed). `python solve.py input.json answer.json` (first argument unused; read `asset.json` from the current directory) writes `asset.obj` and `answer.json`. Fresh briefs (other props) are generated when scoring. ## Geometry rules (metres, +Y up, ground plane y = 0) 1. Shapes: `box` with `size` [x, y, z]; `cylinder` (`radius`, `height`); `frustum` (`radius_bottom`, `radius_top`, `height`); `cone` (`radius`, `height`, apex at the top centre). Round shapes have their axis along +Y. 2. Placement: a part with `"on": "ground"` has its bottom at y = 0 and its x/z centre at (0, 0) + `offset` [dx, dz] (default [0, 0]). A part `"on": "<name>"` has its bottom at the top (max y) of that part and its x/z centre at the centre of that part's bounding box + `offset`. If the named part is an array, use the bounding box of all its instances. 3. `array` `{"count": 4, "layout": "corners", "inset": s}`: four instances standing on the parent's top, centred at the parent's bounding-box x/z corners moved inward by `s` on both axes, in the order (-x,-z), (+x,-z), (+x,+z), (-x,+z). 4. Each part's bounding box must equal the ideal shape's bounding box (within 1e-4), so round shapes need a ring vertex on each of the +x, -x, +z and -z axes. 5. Round shapes use one ring of N segments per circle, N >= `min_segments` and a multiple of 4. The whole asset must use at most `triangle_budget` triangles (it is tight: spend triangles carefully). 6. Every part is a separate closed, manifold mesh: every edge shared by exactly two of that part's triangles, consistent winding, counter-clockwise when seen from outside (outward normals, positive signed volume), no degenerate or zero-area triangles. Vertices may be shared or duplicated; edges are compared by position. ## asset.obj Wavefront OBJ, `v x y z` and triangle-only `f` lines. One `o <name>` per part; array instances are `o <name>.1` .. `o <name>.4`. No other objects. ## answer.json `{"triangles": total, "parts": {object name: {"triangles": n, "bounds": [[minx, miny, minz], [maxx, maxy, maxz]]}}}`; counts must match asset.obj. ## Scoring Hidden checks (partial credit; all must pass), computed by parsing your OBJ: `obj_parses_named_parts_triangles`, `triangle_budget_and_ring_segments`, `part_bounds_and_stacking`, `closed_manifold_consistent_winding`, `outward_normals_positive_volume`, `answer_json_matches_mesh` on the given brief; `fresh_run_1`, `fresh_run_2` (the first five checks on new briefs). 30-second limit per run.
Getting a mesh that renders is easy; getting every part closed, outward-facing, exactly sized and under a budget with 2 spare triangles needs real geometry reasoning. Inspired by https://x.com/BenLesh/status/2112314418373759383 Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a Google account via Antigravity CLI, not billed per token).
Success criteria: 1. obj_parses_named_parts_triangles 2. triangle_budget_and_ring_segments 3. part_bounds_and_stacking 4. closed_manifold_consistent_winding 5. outward_normals_positive_volume 6. answer_json_matches_mesh 7. fresh_run_1 8. fresh_run_2
Setup notes: batch13 case n02-game-asset-mesh (offline fixture). Prepared with prepare.sh on the shared box; only TASK.md + starting files went to the agent machine, hidden keys stayed on the box. Prompt = TASK.md verbatim. Flags: -p --model gemini-4-argon-medium --sandbox --dangerously-skip-permissions --disable-slash-commands --output-format stream-json, cwd=workdir. Scored on the box with the case's scorer. Single run, no retries, no human input. Timeout: 10-minute inactivity limit, no total time cap. Visual output (asset.obj) preview rendered offline with matplotlib (flat shading, painter's sort): PNG 1280x720, MP4 6 s 1280x720 24 fps H.264 turntable. Requested model gemini-4-argon-medium (effort medium); priced at the base model row gemini-4-argon (pricing.json, https://ai.google.dev/gemini-api/docs/pricing). Score: 8/8. Cost is an ESTIMATE: measured tokens x pricing.json list price (Google account, nothing billed per token); output_tokens include thinking tokens. Tool calls 9 (0 failed). Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.26
- Wall time
- 4m
- Human step-ins
- 0
- Turns
- 9
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on | 165,658 | 16,796 | $0.26 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Gemini 4 Argon (google/gemini-4-argon, effort medium · thinking on) via
Antigravity CLI 1.4.8 (agy -p), cloud. - It counts as a success only if it meets every success criterion: 1. obj_parses_named_parts_triangles 2. triangle_budget_and_ring_segments 3. part_bounds_and_stacking 4. closed_manifold_consistent_winding 5. outward_normals_positive_volume 6. answer_json_matches_mesh 7. fresh_run_1 8. 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": "2cebc547-7002-4786-84de-2ea46555281d", "init": {"model": "gemini-4-argon-medium", "cwd": "/home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/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"}}
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{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 4.20900399, "usage": {"input_tokens": 7949, "output_tokens": 173, "thinking_tokens": 15, "cache_read_tokens": 0, "total_tokens": 8122}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 2, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/asset.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 2, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.304304864, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/asset.json"}, "output": "42 lines, 643 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 3, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la /home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 3, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 0.26462081, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "ls -la /home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work"}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 16\r\ndrwxr-xr-x 2 bob bob 4096 Oct 27 20:35 .\r\ndrwxrwxr-x 3 bob bob 4096 Oct 27 20:35 ..\r\n-rw-r--r-- 1 bob bob 2756 Oct 27 20:35 TASK.md\r\n-rw-r--r-- 1 bob bob 643 Oct 27 20:35 asset.json\r\n"}}}
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{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 5, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.159257664, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/TASK.md"}, "output": "20 lines, 2756 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 6, "state": "DONE", "step_type": "agent_response", "duration_seconds": 83.245922651, "usage": {"input_tokens": 2895, "output_tokens": 8143, "thinking_tokens": 5146, "cache_read_tokens": 7003, "total_tokens": 11038}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 7, "state": "ACTIVE", "step_type": "tool", "tool_name": "write_file", "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 7, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 2.139352997, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 8, "state": "DONE", "step_type": "agent_response", "duration_seconds": 12.11256994, "usage": {"input_tokens": 8237, "output_tokens": 186, "thinking_tokens": 115, "cache_read_tokens": 9899, "total_tokens": 8423}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 9, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json && cat answer.json && head -n 40 asset.obj"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 9, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.16021256, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json && cat answer.json && head -n 40 asset.obj"}, "output": "Command exited with code 0.\n\nCommand output:\n{\r\n \"triangles\": 90,\r\n \"parts\": {\r\n \"base\": {\r\n \"triangles\": 12,\r\n \"bounds\": [\r\n [\r\n -0.22,\r\n 0.0,\r\n -0.275\r\n ],\r\n [\r\n 0.22,\r\n 0.27,\r\n 0.275\r\n ]\r\n ]\r\n },\r\n \"post\": {\r\n \"triangles\": 44,\r\n \"bounds\": [\r\n [\r\n -0.06,\r\n 0.27,\r\n -0.06\r\n ],\r\n [\r\n 0.06,\r\n 1.65,\r\n 0.06\r\n ]\r\n ]\r\n },\r\n \"lamp\": {\r\n \"triangles\": 12,\r\n \"bounds\": [\r\n [\r\n -0.165,\r\n 1.65,\r\n -0.14\r\n ],\r\n [\r\n 0.165,\r\n 1.96,\r\n 0.14\r\n ]\r\n ]\r\n },\r\n \"cap\": {\r\n \"triangles\": 22,\r\n \"bounds\": [\r\n [\r\n -0.24,\r\n 1.96,\r\n -0.24\r\n ],\r\n [\r\n 0.24,\r\n 2.22,\r\n 0.24\r\n ]\r\n ]\r\n }\r\n }\r\n}\r\no base\r\nv -0.22000000 0.00000000 -0.27500000\r\nv 0.22000000 0.00000000 -0.27500000\r\nv 0.22000000 0.00000000 0.27500000\r\nv -0.22000000 0.00000000 0.27500000\r\nv -0.22000000 0.27000000 -0.27500000\r\nv 0.22000000 0.27000000 -0.27500000\r\nv 0.22000000 0.27000000 0.27500000\r\nv -0.22000000 0.27000000 0.27500000\r\nf 1 2 3\r\nf 1 3 4\r\nf 5 7 6\r\nf 5 8 7\r\nf 4 3 7\r\nf 4 7 8\r\nf 2 1 5\r\nf 2 5 6\r\nf 3 2 6\r\nf 3 6 7\r\nf 1 4 8\r\nf 1 8 5\r\no post\r\nv 0.06000000 0.27000000 0.00000000\r\nv 0.05196152 0.27000000 0.03000000\r\nv 0.03000000 0.27000000 0.05196152\r\nv 0.00000000 0.27000000 0.06000000\r\nv -0.03000000 0.27000000 0.05196152\r\nv -0.05196152 0.27000000 0.03000000\r\nv -0.06000000 0.27000000 0.00000000\r\nv -0.05196152 0.27000000 -0.03000000\r\nv -0.03000000 0.27000000 -0.05196152\r\nv 0.00000000 0.27000000 -0.06000000\r\nv 0.03000000 0.27000000 -0.05196152\r\nv 0.05196152 0.27000000 -0.03000000\r\nv 0.06000000 1.65000000 0.00000000\r\nv 0.05196152 1.65000000 0.03000000\r\nv 0.03000000 1.65000000 0.05196152\r\nv 0.00000000 1.65000000 0.06000000\r\nv -0.03000000 1.65000000 0.05196152\r\nv -0.05196152 1.65000000 0.03000000\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 10, "state": "DONE", "step_type": "agent_response", "duration_seconds": 26.478191795, "usage": {"input_tokens": 3685, "output_tokens": 2150, "thinking_tokens": 444, "cache_read_tokens": 16087, "total_tokens": 5835}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 11, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, math\nfrom collections import Counter\nimport solve\n\ndef verify_obj_and_answer(brief, obj_text, ans):\n verts = []\n objs = {}\n cur = None\n for line in obj_text.splitlines():\n line = line.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0] == \"o\":\n cur = parts[1]\n assert cur not in objs, f\"Duplicate object {cur}\"\n objs[cur] = []\n elif parts[0] == \"v\":\n \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 11, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.62050834, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, math\nfrom collections import Counter\nimport solve\n\ndef verify_obj_and_answer(brief, obj_text, ans):\n verts = []\n objs = {}\n cur = None\n for line in obj_text.splitlines():\n line = line.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0] == \"o\":\n cur = parts[1]\n assert cur not in objs, f\"Duplicate object {cur}\"\n objs[cur] = []\n elif parts[0] == \"v\":\n \u2026"}, "output": "Command exited with code 1.\n\nCommand output:\n File \"<string>\", line 28\r\n assert total_tris <= brief[\"triangle_budget\"], f\"{total_tris} > {brief[\\\"triangle_budget\\\"]}\"\r\n ^\r\nSyntaxError: unexpected character after line continuation character\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 12, "state": "DONE", "step_type": "agent_response", "duration_seconds": 15.568824058, "usage": {"input_tokens": 2292, "output_tokens": 1682, "thinking_tokens": 22, "cache_read_tokens": 19773, "total_tokens": 3974}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 13, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, math\nfrom collections import Counter\nimport solve\n\ndef verify_obj_and_answer(brief, obj_text, ans):\n verts = []\n objs = {}\n cur = None\n for line in obj_text.splitlines():\n line = line.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0] == \"o\":\n cur = parts[1]\n assert cur not in objs, f\"Duplicate object {cur}\"\n objs[cur] = []\n elif parts[0] == \"v\":\n \u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 13, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.8229536259999999, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 -c '\nimport json, math\nfrom collections import Counter\nimport solve\n\ndef verify_obj_and_answer(brief, obj_text, ans):\n verts = []\n objs = {}\n cur = None\n for line in obj_text.splitlines():\n line = line.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0] == \"o\":\n cur = parts[1]\n assert cur not in objs, f\"Duplicate object {cur}\"\n objs[cur] = []\n elif parts[0] == \"v\":\n \u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nasset.json verified successfully!\r\ntest_brief verified successfully!\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 14, "state": "DONE", "step_type": "agent_response", "duration_seconds": 30.247914411, "usage": {"input_tokens": 3834, "output_tokens": 3440, "thinking_tokens": 331, "cache_read_tokens": 20016, "total_tokens": 7274}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 15, "state": "ACTIVE", "step_type": "tool", "tool_name": "write_file", "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 15, "state": "DONE", "step_type": "tool", "tool_name": "write_file", "duration_seconds": 1.961484617, "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 16, "state": "DONE", "step_type": "agent_response", "duration_seconds": 4.617409964, "usage": {"input_tokens": 3519, "output_tokens": 84, "thinking_tokens": 23, "cache_read_tokens": 23851, "total_tokens": 3603}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 17, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json && ls -la"}}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 17, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.6631054459999999, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "python3 solve.py input.json answer.json && ls -la"}, "output": "Command exited with code 0.\n\nCommand output:\ntotal 36\r\ndrwxr-xr-x 3 bob bob 4096 Oct 27 20:38 .\r\ndrwxrwxr-x 3 bob bob 4096 Oct 27 20:35 ..\r\n-rw-r--r-- 1 bob bob 2756 Oct 27 20:35 TASK.md\r\ndrwxrwxr-x 2 bob bob 4096 Oct 27 20:38 __pycache__\r\n-rw-rw-r-- 1 bob bob 869 Oct 27 20:38 answer.json\r\n-rw-r--r-- 1 bob bob 643 Oct 27 20:35 asset.json\r\n-rw-rw-r-- 1 bob bob 2869 Oct 27 20:38 asset.obj\r\n-rw-r--r-- 1 bob bob 8053 Oct 27 20:38 solve.py\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "Implemented [solve.py](file:///home/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "bob/usecase-runs/b2930/o"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ut-"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "poll-2026-10-27/agy/gemini-4-argon-m"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "edium/n"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "02/work/solve.py) and generated [asset.obj](file"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ":///home/bob/usecase-run"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "s"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/b2930/out-poll-2026-10-27/agy/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "gemini-4-argon-medium/n02/work/asset.obj) and [a"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "nswer.json]("}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "file:///home/bob/usecase-runs/b2930/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "out-poll-202"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "6-10-27/agy/gemini-4-argon-medium/n0"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "2/work/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "answer.json).\n\n### Summary\n- **Shapes (`box`, `c"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ylinder`, `f"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "rustum`, `cone`)**: Impl"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "emented"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " in [`make_box`](file:///home/bob/usecase-runs/b"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "2930/out"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-poll-2026-10-27/agy/gemini-4-argon-"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "medium/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "n02/work/solve.py#L9-L49), [`make_frustum`](file:///home/bob"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/usecase"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-runs/b2930/out-poll-2026-10-27/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "agy/gemini-4-argon-medium/n02/work/solve.py#L70-"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "L95), [`make_cylinder`](file:///home"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/bob/usecase-runs/b293"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "0/out-poll-2026-10-27/agy/gemini-4-a"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "rgon"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-medium/n02/work/solve.py#L98-L99), and [`make"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "_cone`](file:///home/bob/usecase-runs/b2930/out-poll-"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "2026-10-27/agy/gemini-4-argon-medium/n02"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/work/solve.py#L102-L119) with axis along `+Y`, "}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "exact"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " cardinal ring vertices on `+x`, `+z`, `-x`, `-z"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`, segment count $N = \\l"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ceil \\text"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "{min\\_segments} / 4 \\rceil \\times 4$, and polygo"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "n cap triangulation ($N "}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "- 2$ triangles per cap) "}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "to"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " stay within tight triangle budgets (90 / 92 tri"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "angles on th"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "e street lantern brief)."}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "\n- **Placement & Arrays*"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "*: ["}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`solve`](file:///home/bob/usecase-ru"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ns/b2930/out-poll-2"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "026-10-27/agy/gemini-4-argon-medium/n02/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "work/solve.py#L166-L241) resolves `\"ground\"` and parent part"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " stacking, `"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "["}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "dx, dz]` offsets, and 4-corner inset arrays (`<n"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ame>.1` .. `"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "<name>.4"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "` in `(-x,-z), (+x,-z), (+x,+z), (-x,+z)` order)"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ".\n- **Manifold"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " & Winding**: Verified that every object in [ass"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "et.obj](file"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ":///home/bob/usecase-run"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "s/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "b2930/out-poll-2026-10-27/agy/gemini"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "-4-argon-medium/n02/work/asset.obj) "}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "is a closed,"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " 2-"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "manifold triangle mesh with counter-"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "clockwise outward-facing"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " normals, po"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "sitive signed volume, an"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "d exact bounds matching "}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "[answer.json"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "](file:///home/bob/usecase-runs/b2930/out-poll-202"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "6-10-27/agy/gemini-4-argon-medium/n0"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "2/work/"}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "answer.json)."}}
{"event": "step_update", "step_update": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "step_index": 18, "state": "DONE", "step_type": "agent_response", "text_delta": "\n", "duration_seconds": 10.387792806, "usage": {"input_tokens": 2453, "output_tokens": 848, "thinking_tokens": 17, "cache_read_tokens": 25321, "total_tokens": 3301}}}
{"event": "result", "result": {"conversation_id": "2cebc547-7002-4786-84de-2ea46555281d", "status": "SUCCESS", "response": "Implemented [solve.py](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py) and generated [asset.obj](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/asset.obj) and [answer.json](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/answer.json).\n\n### Summary\n- **Shapes (`box`, `cylinder`, `frustum`, `cone`)**: Implemented in [`make_box`](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py#L9-L49), [`make_frustum`](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py#L70-L95), [`make_cylinder`](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py#L98-L99), and [`make_cone`](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py#L102-L119) with axis along `+Y`, exact cardinal ring vertices on `+x`, `+z`, `-x`, `-z`, segment count $N = \\lceil \\text{min\\_segments} / 4 \\rceil \\times 4$, and polygon cap triangulation ($N - 2$ triangles per cap) to stay within tight triangle budgets (90 / 92 triangles on the street lantern brief).\n- **Placement & Arrays**: [`solve`](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/solve.py#L166-L241) resolves `\"ground\"` and parent part stacking, `[dx, dz]` offsets, and 4-corner inset arrays (`<name>.1` .. `<name>.4` in `(-x,-z), (+x,-z), (+x,+z), (-x,+z)` order).\n- **Manifold & Winding**: Verified that every object in [asset.obj](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/asset.obj) is a closed, 2-manifold triangle mesh with counter-clockwise outward-facing normals, positive signed volume, and exact bounds matching [answer.json](file:///home/bob/usecase-runs/b2930/out-poll-2026-10-27/agy/gemini-4-argon-medium/n02/work/answer.json).\n", "duration_seconds": 201.739415461, "num_turns": 1, "usage": {"input_tokens": 37813, "output_tokens": 16796, "thinking_tokens": 6132, "cache_read_tokens": 127845, "total_tokens": 54609}}}