{"schema_version":"ATIF-v1.8","session_id":"92d0856d-f700-49c6-b63a-3ba9c3a8e6b7","agent":{"name":"computer-1","version":"1.1.0","model_name":"bedrock/us.anthropic.claude-opus-5-5"},"steps":[{"step_id":1,"timestamp":"2026-09-24T21:08:20.183908+00:00","source":"user","message":"# Bicycle Courier — Character Rigging Brief\n\n## Objective\n\nOpen `/home/ubuntu/task/input/base.blend`. Add one armature named `CharacterRig`, bind `CharacterMesh` to it with an Armature modifier and normalised skin weights, pose it to match the supplied pose references, render those poses from the published cameras, and save the result.\n\n## Skeleton\n\nCreate exactly these 24 named deform bones with this hierarchy: `Hips` (root), `LeftUpLeg` → `Hips`, `LeftLeg` → `LeftUpLeg`, `LeftFoot` → `LeftLeg`, `LeftToeBase` → `LeftFoot`, `RightUpLeg` → `Hips`, `RightLeg` → `RightUpLeg`, `RightFoot` → `RightLeg`, `RightToeBase` → `RightFoot`, `Spine02` → `Hips`, `Spine01` → `Spine02`, `Spine` → `Spine01`, `LeftShoulder` → `Spine`, `LeftArm` → `LeftShoulder`, `LeftForeArm` → `LeftArm`, `LeftHand` → `LeftForeArm`, `RightShoulder` → `Spine`, `RightArm` → `RightShoulder`, `RightForeArm` → `RightArm`, `RightHand` → `RightForeArm`, `neck` → `Spine`, `Head` → `neck`, `head_end` → `Head`, `headfront` → `Head`. No joint coordinates are supplied: place every joint by reading the mesh and the pose references. Extra control bones are allowed only when `use_deform` is disabled. Every required bone needs a same-named vertex group, every vertex needs positive weight, weight sums must stay within 0.05 of 1.0, and each vertex may use at most 4 positive influences.\n\n## Poses and renders\n\n`/home/ubuntu/task/input/cameras.json` publishes every scored camera: views `front`, `three_quarter_left`, `right` at 384×512 pixels. Renders use Workbench in clay shading, lit by Workbench studio lighting that ignores scene lights. Scored renders are produced inside the grader from your file and from the hidden reference using the published cameras. The `pose-reference-<pose>-v<k>.png` images show the hidden reference rig in each pose from view k. Key the armature so that the poses appear on these frames: `neutral` on frame 1, `elbow_flex` on frame 11, `left_step` on frame 21, `bilateral_knee_flexion` on frame 31. No rotation values are supplied; recover each pose from the images. Render your own posed character from the same cameras at the same frames to `/home/ubuntu/task/output/submission/pose-neutral-v1.png`, `/home/ubuntu/task/output/submission/pose-neutral-v2.png`, `/home/ubuntu/task/output/submission/pose-neutral-v3.png`, `/home/ubuntu/task/output/submission/pose-elbow-flex-v1.png`, `/home/ubuntu/task/output/submission/pose-elbow-flex-v2.png`, `/home/ubuntu/task/output/submission/pose-elbow-flex-v3.png`, `/home/ubuntu/task/output/submission/pose-left-step-v1.png`, `/home/ubuntu/task/output/submission/pose-left-step-v2.png`, `/home/ubuntu/task/output/submission/pose-left-step-v3.png`, `/home/ubuntu/task/output/submission/pose-bilateral-knee-flexion-v1.png`, `/home/ubuntu/task/output/submission/pose-bilateral-knee-flexion-v2.png`, `/home/ubuntu/task/output/submission/pose-bilateral-knee-flexion-v3.png`.\n\n## Review\n\n`rig_structure` checks names, parents, deform flags, and binding; `skin_weight_quality` checks coverage, normalised sums, and the influence limit; `rest_alignment` compares your bone heads and tails with the hidden reference joints, normalised by the character diagonal with tolerance 0.04; `posed_deformation` compares the deformed mesh at each pose frame with the hidden reference deformation, normalised by the character scale with tolerance 0.03, including the worst 0.01 vertex fraction and cross-part seams that began within 0.005 of character scale so a local tear is not averaged away; `pose_silhouette` compares 256×256 alpha silhouettes of the deformed mesh of both rigs per pose and view with the armature hidden; `png_provenance` compares each of your PNGs with the grader's rerender of your file from the same published camera in the same clay shading with the armature and every non-mesh object hidden (mean absolute error at most 0.055). Keep `/home/ubuntu/task/output/submission/result.blend` at or below 3 GiB (and every submitted file at or below 512 MiB, the whole submission archive at or below 2 GiB).\n\n## Scoring\n\nThe deterministic score is 0.75 of the final result (75%); a three-pass visual review (median) of paired candidate and reference renders is the remaining 0.25 (25%). The visual review scores these criteria with these weights: `pose_match` 0.5, `deformation_quality` 0.35, `silhouette_integrity` 0.15. Deterministic components and weights:\n\n- `rig_structure`: weight 0.2\n- `skin_weight_quality`: weight 0.1\n- `rest_alignment`: weight 0.15\n- `posed_deformation`: weight 0.3\n- `pose_silhouette`: weight 0.2\n- `png_provenance`: weight 0.05\n\nTolerances:\n\n- `rest_joint_normalized`: 0.04\n- `posed_vertex_normalized`: 0.03\n- `weight_sum`: 0.05\n- `provenance_mae`: 0.055\n- `seam_radius_normalized`: 0.005\n- `deformation_tail_fraction`: 0.01\n\nQuality gates:\n\n- `rig_structure` below 0.95 caps the final score at 0.2\n- `posed_deformation` below 0.5 caps the final score at 0.4\n\nScore caps:\n\n- `missing_submission`: final score capped at 0\n- `corrupt_submission`: final score capped at 0\n- `prohibited_change`: final score capped at 0.2\n- `missing_required_rig`: final score capped at 0\n- `source_scene_modified`: final score capped at 0.2\n- `required_bones_missing_or_misparented`: final score capped at 0.2\n- `invalid_skin_binding`: final score capped at 0.3\n- `unweighted_vertices`: final score capped at 0.4\n- `excessive_influences`: final score capped at 0.6\n- `missing_required_images`: final score capped at 0.3\n- `missing_pose_animation`: final score capped at 0.4\n\n## Preservation and deliverables\n\nChange only object structure, rigging, skinning, animation. Preserve exactly: geometry, transforms, materials, material assignments, image textures, lights, world, camera, render settings, collections and view layers, the compositing and sequencer pipeline, and colour management. Any protected change caps the score at 0.2. Save `/home/ubuntu/task/output/submission/result.blend` and the 12 pose renders listed above.\n"},{"step_id":2,"timestamp":"2026-09-24T21:08:26.106843+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01ToUbHzk1sXjB7qQWFa9Gfq","function_name":"bash_command","arguments":{"command":"cd /home/ubuntu/task/input; ls -la; cat cameras.json; which blender; ls /home/ubuntu/task"}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01ToUbHzk1sXjB7qQWFa9Gfq","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"total 25872\\ndrwxr-xr-x 1 ubuntu ubuntu     4096 Sep 24 21:07 .\\ndrwxr-xr-x 1 root   root        103 Sep 24 21:08 ..\\n-rw-rw-r-- 1 ubuntu ubuntu 23542904 Jan  1  1970 base.blend\\n-rw-rw-r-- 1 ubuntu ubuntu     1976 Jan  1  1970 cameras.json\\n-rw-rw-r-- 1 ubuntu ubuntu   335697 Jan  1  1970 character-reference.png\\n-rw-rw-r-- 1 ubuntu ubuntu    96538 Jan  1  1970 pose-reference-bilateral-knee-flexion-v1.png\\n-rw-rw-r-- 1 ubuntu ubuntu   111300 Jan  1  1970 pose-reference-bilateral-knee-flexion-v2.png\\n-rw-rw-r-- 1 ubuntu ubuntu    98619 Jan  1  1970 pose-reference-bilateral-knee-flexion-v3.png\\n-rw-rw-r-- 1 ubuntu ubuntu    96228 Jan  1  1970 pose-reference-elbow-flex-v1.png\\n-rw-rw-r-- 1 ubuntu ubuntu   109757 Jan  1  1970 pose-reference-elbow-flex-v2.png\\n-rw-rw-r-- 1 ubuntu ubuntu   100201 Jan  1  1970 pose-reference-elbow-flex-v3.png\\n-rw-rw-r-- 1 ubuntu ubuntu    97327 Jan  1  1970 pose-reference-left-step-v1.png\\n-rw-rw-r-- 1 ubuntu ubuntu   105709 Jan  1  1970 pose-reference-left-step-v2.png\\n-rw-rw-r-- 1 ubuntu ubuntu   110418 Jan  1  1970 pose-reference-left-step-v3.png\\n-rw-rw-r-- 1 ubuntu ubuntu    97821 Jan  1  1970 pose-reference-neutral-v1.png\\n-rw-rw-r-- 1 ubuntu ubuntu   110400 Jan  1  1970 pose-reference-neutral-v2.png\\n-rw-rw-r-- 1 ubuntu ubuntu    98491 Jan  1  1970 pose-reference-neutral-v3.png\\n{\\n  \\\"render\\\": {\\n    \\\"adaptive\\\": false,\\n    \\\"budget\\\": {\\n      \\\"max_seconds_per_frame\\\": 8.0\\n    },\\n    \\\"color_management\\\": {\\n      \\\"exposure\\\": 0.0,\\n      \\\"gamma\\\": 1.0,\\n      \\\"look\\\": \\\"AgX - Base Contrast\\\",\\n      \\\"view_transform\\\": \\\"AgX\\\"\\n    },\\n    \\\"denoise\\\": false,\\n    \\\"engine\\\": \\\"WORKBENCH\\\",\\n    \\\"lighting\\\": \\\"scene\\\",\\n    \\\"samples\\\": 24,\\n    \\\"seed\\\": 7,\\n    \\\"shading\\\": \\\"clay\\\"\\n  },\\n  \\\"schema_version\\\": 1,\\n  \\\"views\\\": [\\n    {\\n      \\\"clip\\\": [\\n        0.01,\\n        24.299517\\n      ],\\n      \\\"film_transparent\\\": false,\\n      \\\"frame\\\": 1,\\n      \\\"id\\\": \\\"front\\\",\\n      \\\"lens_mm\\\": null,\\n      \\\"location\\\": [\\n        1.95e-06,\\n        -6.07487869,\\n        0.87499976\\n      ],\\n      \\\"ortho_scale\\\": 2.64811762,\\n      \\\"projection\\\": \\\"ORTHO\\\",\\n      \\\"resolution\\\": [\\n        384,\\n        512\\n      ],\\n      \\\"rotation_quaternion\\\": [\\n        0.70710677,\\n        0.70710677,\\n        1.2e-07,\\n        1.2e-07\\n      ],\\n      \\\"sensor_width\\\": 36.0\\n    },\\n    {\\n      \\\"clip\\\": [\\n        0.01,\\n        24.299517\\n      ],\\n      \\\"film_transparent\\\": false,\\n      \\\"frame\\\": 1,\\n      \\\"id\\\": \\\"three_quarter_left\\\",\\n      \\\"lens_mm\\\": null,\\n      \\\"location\\\": [\\n        4.29558945,\\n        -4.29558659,\\n        0.87499976\\n      ],\\n      \\\"ortho_scale\\\": 2.23542049,\\n      \\\"projection\\\": \\\"ORTHO\\\",\\n      \\\"resolution\\\": [\\n        384,\\n        512\\n      ],\\n      \\\"rotation_quaternion\\\": [\\n        0.65328139,\\n        0.65328139,\\n        0.27059817,\\n        0.27059817\\n      ],\\n      \\\"sensor_width\\\": 36.0\\n    },\\n    {\\n      \\\"clip\\\": [\\n        0.01,\\n        24.299517\\n      ],\\n      \\\"film_transparent\\\": false,\\n      \\\"frame\\\": 1,\\n      \\\"id\\\": \\\"right\\\",\\n      \\\"lens_mm\\\": null,\\n      \\\"location\\\": [\\n        -6.07487917,\\n        -2.02e-06,\\n        0.87499976\\n      ],\\n      \\\"ortho_scale\\\": 2.09999957,\\n      \\\"projection\\\": \\\"ORTHO\\\",\\n      \\\"resolution\\\": [\\n        384,\\n        512\\n      ],\\n      \\\"rotation_quaternion\\\": [\\n        0.50000006,\\n        0.50000006,\\n        -0.49999988,\\n        -0.49999991\\n      ],\\n      \\\"sensor_width\\\": 36.0\\n    }\\n  ]\\n}\\n/usr/local/bin/blender\\ninput\\noutput\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":6888,"completion_tokens":109,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":109,"cache_creation_input_tokens":6884,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":6884,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_csys3atfgqhvh5vkbth5ywgolugt3ms5zci4elhv3h7ppwspa5wa"}},{"step_id":3,"timestamp":"2026-09-24T21:08:39.617915+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"Let me inspect the scene contents.","tool_calls":[{"tool_call_id":"toolu_bdrk_01JoXBMQKEj6Jp9WJp8ctRgA","function_name":"bash_command","arguments":{"command":"cd /tmp; cat > insp.py <<'EOF'\nimport bpy\nfor o in bpy.data.objects:\n    print(o.name,o.type,tuple(o.location),tuple(o.rotation_euler),tuple(o.scale),o.parent, [m.type for m in getattr(o,'modifiers',[])])\n    if o.type=='MESH':\n        import mathutils\n        vs=[o.matrix_world@v.co for v in o.data.vertices]\n        print(len(vs), [min(v[i] for v in vs) for i in range(3)],[max(v[i] for v in vs) for i in range(3)], len(o.vertex_groups), o.data.materials[:])\ns=bpy.context.scene\nprint(s.frame_start,s.frame_end,s.render.engine,s.display.shading.light, s.display.shading.color_type, s.camera)\nEOF\nblender -b /home/ubuntu/task/input/base.blend --python insp.py 2>&1 | grep -v \"^Blender\\|^Read\" | head -40"}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01JoXBMQKEj6Jp9WJp8ctRgA","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"CharacterMesh MESH (0.0, 0.0, 0.0) (0.0, 0.0, 0.0) (0.009999999776482582, 0.009999999776482582, 0.009999999776482582) None []\\n15823 [-0.8275368213653564, -0.16038909554481506, -3.658795222349909e-08] [0.8275367021560669, 0.16038914024829865, 1.7499996423721313] 0 [bpy.data.materials['CharacterMaterial_01']]\\n1 31 BLENDER_WORKBENCH STUDIO SINGLE None\\n\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":10748,"completion_tokens":404,"cached_tokens":6884,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":404,"cache_creation_input_tokens":3860,"cache_read_input_tokens":6884,"cache_creation":{"ephemeral_5m_input_tokens":3860,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_esl5wswpei3rdtvizrev3usihm6tj6tpgbmer6ksfkfgsiuaudqa"}},{"step_id":4,"timestamp":"2026-09-24T21:08:51.943529+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01Bfinmst9NjGCWzo7QnEwtb","function_name":"bash_command","arguments":{"command":"which feh eog display firefox xdg-open convert montage; python3 -c \"import PIL, numpy; print('ok')\""}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01Bfinmst9NjGCWzo7QnEwtb","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"/usr/bin/display\\n/usr/bin/convert\\n/usr/bin/montage\\nok\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":13137,"completion_tokens":267,"cached_tokens":10744,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":267,"cache_creation_input_tokens":2389,"cache_read_input_tokens":10744,"cache_creation":{"ephemeral_5m_input_tokens":2389,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_ndzpesauorenngzdn4tuhphk6sanaom2rocdi7zi2kyxgkjrqyhq"}},{"step_id":5,"timestamp":"2026-09-24T21:11:06.292372+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01H6LStz3Ymtzuhf6H5JH1r5","function_name":"bash_command","arguments":{"command":"cd /home/ubuntu/task/input; montage pose-reference-neutral-v*.png pose-reference-elbow-flex-v*.png pose-reference-left-step-v*.png pose-reference-bilateral-knee-flexion-v*.png -tile 6x2 -geometry 230x307+2+2 /tmp/m.png; (DISPLAY=:1 display -geometry +0+0 /tmp/m.png &) ; sleep 2; echo"}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01H6LStz3Ymtzuhf6H5JH1r5","content":[{"type":"text","text":"{\"exit_code\":124,\"stdout\":\"\",\"stderr\":\"bash_command environment transport timed out after 120s\",\"timed_out\":true,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"error"}}]},"metrics":{"prompt_tokens":15225,"completion_tokens":202,"cached_tokens":13133,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":202,"cache_creation_input_tokens":2088,"cache_read_input_tokens":13133,"cache_creation":{"ephemeral_5m_input_tokens":2088,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_kvgfc3kmg5oakgmo7wys3m3pnzcijsodvfqjiwfh2dxqwnfhrhwa"}},{"step_id":6,"timestamp":"2026-09-24T21:11:34.390882+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01KqtcAvXuKGPoLo2nurWwsm","function_name":"bash_command","arguments":{"command":"pkill display; cd /home/ubuntu/task/input; montage pose-reference-left-step-v3.png pose-reference-bilateral-knee-flexion-v3.png pose-reference-left-step-v1.png pose-reference-elbow-flex-v2.png -tile 4x1 -geometry 384x512+2+2 /tmp/m2.png; (DISPLAY=:1 timeout 100 display -geometry +0+0 /tmp/m2.png >/dev/null 2>&1 &) ; sleep 3; echo ok","timeout_sec":20}},{"tool_call_id":"toolu_bdrk_01MZpHdAC6pqaViMz8gMxekJ","function_name":"computer","arguments":{"action":"screenshot"}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01KqtcAvXuKGPoLo2nurWwsm","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"ok\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}},{"source_call_id":"toolu_bdrk_01MZpHdAC6pqaViMz8gMxekJ","content":[{"type":"text","text":"OK"},{"type":"image","source":{"media_type":"image/webp","path":"screenshot_ep4_action1.webp"}}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":17234,"completion_tokens":724,"cached_tokens":15221,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":724,"cache_creation_input_tokens":2009,"cache_read_input_tokens":15221,"cache_creation":{"ephemeral_5m_input_tokens":2009,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_5ign2l7wjhgqgtexy7rhoo7ezbwddsdtpfa6kt6uezqb63ymhjbq"}},{"step_id":7,"timestamp":"2026-09-24T21:11:55.815079+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01ByurjY8kMX6dxZxgzNjiuc","function_name":"bash_command","arguments":{"command":"pkill display; cd /tmp; cat > sl.py <<'EOF'\nimport bpy,numpy as np\no=bpy.data.objects['CharacterMesh']\nV=np.array([o.matrix_world@v.co for v in o.data.vertices])\nnp.save('/tmp/V.npy',V)\nfor z in np.arange(0,1.76,0.05):\n    m=(abs(V[:,2]-z)<0.01)\n    s=V[m]\n    L=s[s[:,0]>0.0]; \n    if len(s)==0: continue\n    print(round(z,2), 'x',s[:,0].min().round(3),s[:,0].max().round(3),'y',s[:,1].min().round(3),s[:,1].max().round(3), 'Lx', (L[:,0].min().round(3),L[:,0].max().round(3)) if len(L) else '')\nprint('arm')\nfor x in np.arange(0.1,0.85,0.05):\n    s=V[(abs(V[:,0]-x)<0.01)&(V[:,2]>1.2)]\n    print(round(x,2),'z',s[:,2].min().round(3),s[:,2].max().round(3),'y',s[:,1].min().round(3),s[:,1].max().round(3))\nEOF\nblender -b /home/ubuntu/task/input/base.blend --python sl.py 2>&1 | grep -v \"^Blender\\|^Read\"","timeout_sec":60}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01ByurjY8kMX6dxZxgzNjiuc","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"0.0 x -0.217 0.22 y -0.131 0.108 Lx (0.102, 0.22)\\n0.05 x -0.212 0.213 y -0.159 0.117 Lx (0.105, 0.213)\\n0.1 x -0.189 0.19 y -0.029 0.1 Lx (0.112, 0.19)\\n0.15 x -0.173 0.175 y 0.011 0.089 Lx (0.113, 0.175)\\n0.2 x -0.178 0.179 y 0.012 0.092 Lx (0.108, 0.179)\\n0.25 x -0.152 0.181 y 0.008 0.102 Lx (0.101, 0.181)\\n0.3 x -0.18 0.188 y 0.001 0.112 Lx (0.086, 0.188)\\n0.35 x -0.191 0.192 y -0.008 0.117 Lx (0.081, 0.192)\\n0.4 x -0.186 0.187 y -0.012 0.113 Lx (0.08, 0.187)\\n0.45 x -0.174 0.178 y -0.019 0.083 Lx (0.076, 0.178)\\n0.5 x -0.169 0.171 y -0.047 0.079 Lx (0.063, 0.171)\\n0.55 x -0.163 0.169 y -0.059 0.072 Lx (0.052, 0.169)\\n0.6 x -0.17 0.17 y -0.072 0.073 Lx (0.046, 0.17)\\n0.65 x -0.178 0.178 y -0.082 0.081 Lx (0.038, 0.178)\\n0.7 x -0.178 0.168 y -0.094 0.083 Lx (0.022, 0.168)\\n0.75 x -0.18 0.18 y -0.095 0.08 Lx (0.015, 0.18)\\n0.8 x -0.179 0.166 y -0.099 0.101 Lx (0.001, 0.166)\\n0.85 x -0.173 0.173 y -0.111 0.117 Lx (0.0, 0.173)\\n0.9 x -0.163 0.162 y -0.115 0.122 Lx (0.004, 0.162)\\n0.95 x -0.16 0.16 y -0.116 0.117 Lx (0.0, 0.16)\\n1.0 x -0.143 0.151 y -0.116 0.106 Lx (0.001, 0.151)\\n1.05 x -0.141 0.144 y -0.114 0.092 Lx (0.001, 0.144)\\n1.1 x -0.142 0.141 y -0.105 0.106 Lx (0.004, 0.141)\\n1.15 x -0.145 0.141 y -0.11 0.105 Lx (0.04, 0.141)\\n1.2 x -0.149 0.148 y -0.105 0.12 Lx (0.002, 0.148)\\n1.25 x -0.162 0.157 y -0.104 0.138 Lx (0.004, 0.157)\\n1.3 x -0.157 0.175 y -0.097 0.153 Lx (0.056, 0.175)\\n1.35 x -0.699 0.698 y -0.082 0.16 Lx (0.049, 0.698)\\n1.4 x -0.828 0.828 y -0.061 0.153 Lx (0.024, 0.828)\\n1.45 x -0.339 0.458 y -0.027 0.137 Lx (0.004, 0.458)\\n1.5 x -0.075 0.072 y -0.079 0.102 Lx (0.002, 0.072)\\n1.55 x -0.062 0.061 y -0.091 0.092 Lx (0.003, 0.061)\\n1.6 x -0.086 0.084 y -0.1 0.115 Lx (0.004, 0.084)\\n1.65 x -0.088 0.085 y -0.087 0.121 Lx (0.011, 0.085)\\n1.7 x -0.085 0.082 y -0.094 0.112 Lx (0.0, 0.082)\\n1.75 x -0.038 0.037 y -0.034 0.061 Lx (0.001, 0.037)\\narm\\n0.1 z 1.223 1.484 y -0.088 0.159\\n0.15 z 1.201 1.481 y -0.041 0.15\\n0.2 z 1.332 1.475 y -0.004 0.14\\n0.25 z 1.341 1.456 y 0.004 0.138\\n0.3 z 1.342 1.444 y 0.011 0.135\\n0.35 z 1.349 1.44 y 0.017 0.13\\n0.4 z 1.351 1.436 y 0.027 0.124\\n0.45 z 1.35 1.44 y 0.033 0.125\\n0.5 z 1.352 1.436 y 0.044 0.123\\n0.55 z 1.356 1.43 y 0.037 0.118\\n0.6 z 1.364 1.424 y 0.04 0.109\\n0.65 z 1.363 1.419 y 0.033 0.106\\n0.7 z 1.358 1.41 y -0.004 0.093\\n0.75 z 1.365 1.407 y -0.022 0.113\\n0.8 z 1.38 1.402 y 0.031 0.104\\n\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":19811,"completion_tokens":1197,"cached_tokens":17230,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":1197,"cache_creation_input_tokens":2577,"cache_read_input_tokens":17230,"cache_creation":{"ephemeral_5m_input_tokens":2577,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_yah7tohm4tpem6jehqlj7djvf4th7qmwsvnsksqrgdu4xg67o4ma"}},{"step_id":8,"timestamp":"2026-09-24T21:12:45.879480+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_015zDZhd6RRM4aqo5hraEWFN","function_name":"bash_command","arguments":{"command":"cd /tmp; python3 -c \"\nimport numpy as np\nV=np.load('/tmp/V.npy')\nL=V[V[:,0]>0.03]\nfor z in [0.03,0.06,0.08,0.1,0.12,0.4,0.45,0.48,0.5,0.55,0.85,0.9]:\n  s=L[(abs(L[:,2]-z)<0.01)&(L[:,2]<1.2)]; print(z, s.mean(0).round(3), s.min(0).round(3), s.max(0).round(3))\nA=V[(V[:,2]>1.25)&(V[:,0]>0.1)]\nfor x in [0.15,0.2,0.4,0.43,0.46,0.5,0.65,0.68,0.7,0.72]:\n  s=A[abs(A[:,0]-x)<0.008]; print('arm',x, s.mean(0).round(3), s.min(0).round(3), s.max(0).round(3))\nH=V[V[:,2]>1.45]; print('head', H.mean(0).round(3), H.min(0).round(3),H.max(0).round(3))\nfrom PIL import Image\nim=np.array(Image.open('/home/ubuntu/task/input/pose-reference-neutral-v1.png')); print(im.shape, im[0,0], im[256,192])\n\""}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_015zDZhd6RRM4aqo5hraEWFN","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"0.03 [ 0.158 -0.019  0.03 ] [ 0.105 -0.16   0.02 ] [0.219 0.118 0.04 ]\\n0.06 [ 0.159 -0.023  0.061] [ 0.106 -0.117  0.05 ] [0.201 0.109 0.069]\\n0.08 [ 0.156 -0.002  0.082] [ 0.106 -0.056  0.07 ] [0.194 0.101 0.09 ]\\n0.1 [0.151 0.016 0.097] [ 0.112 -0.029  0.09 ] [0.19 0.1  0.11]\\n0.12 [0.143 0.046 0.119] [0.112 0.006 0.111] [0.176 0.089 0.126]\\n0.4 [0.14  0.072 0.398] [ 0.08  -0.012  0.39 ] [0.187 0.113 0.41 ]\\n0.45 [0.117 0.028 0.449] [ 0.076 -0.019  0.441] [0.178 0.083 0.459]\\n0.48 [0.117 0.019 0.483] [ 0.067 -0.038  0.473] [0.173 0.083 0.489]\\n0.5 [ 0.109 -0.003  0.498] [ 0.063 -0.047  0.491] [0.171 0.074 0.509]\\n0.55 [0.098 0.001 0.551] [ 0.052 -0.056  0.544] [0.169 0.07  0.558]\\n0.85 [0.114 0.019 0.852] [ 0.031 -0.099  0.841] [0.173 0.117 0.859]\\n0.9 [0.123 0.007 0.902] [ 0.033 -0.086  0.892] [0.162 0.122 0.91 ]\\narm 0.15 [0.149 0.07  1.417] [ 0.142 -0.041  1.283] [0.158 0.15  1.481]\\narm 0.2 [0.2   0.07  1.391] [ 0.193 -0.004  1.335] [0.208 0.14  1.474]\\narm 0.4 [0.4   0.063 1.389] [0.392 0.027 1.351] [0.407 0.124 1.433]\\narm 0.43 [0.43  0.073 1.387] [0.423 0.032 1.349] [0.438 0.125 1.439]\\narm 0.46 [0.46  0.061 1.401] [0.455 0.035 1.349] [0.468 0.099 1.44 ]\\narm 0.5 [0.499 0.095 1.395] [0.494 0.044 1.352] [0.507 0.123 1.436]\\narm 0.65 [0.647 0.071 1.382] [0.642 0.033 1.364] [0.657 0.106 1.419]\\narm 0.68 [0.68  0.061 1.377] [0.673 0.006 1.357] [0.687 0.108 1.412]\\narm 0.7 [0.7   0.033 1.379] [ 0.694 -0.004  1.358] [0.708 0.093 1.41 ]\\narm 0.72 [0.719 0.049 1.383] [ 0.712 -0.014  1.363] [0.728 0.113 1.41 ]\\nhead [0.004 0.017 1.65 ] [-0.261 -0.105  1.45 ] [0.267 0.129 1.75 ]\\n(512, 384, 4) [0 0 0 0] [157 162 168 255]\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":24578,"completion_tokens":2693,"cached_tokens":19807,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":2693,"cache_creation_input_tokens":4767,"cache_read_input_tokens":19807,"cache_creation":{"ephemeral_5m_input_tokens":4767,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_zhcyw2vd3l3pbd3nlcvjuyzd22drbdqkzpani3xfj6nqjectkova"}},{"step_id":9,"timestamp":"2026-09-24T21:13:16.311295+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01XXuy2TvfNxMeYPckbsRZ69","function_name":"bash_command","arguments":{"command":"cd /tmp; cat > build.py <<'EOF'\nimport bpy,numpy as np\nfrom mathutils import Vector\nJ={'Hips':((0,0.01,0.93),(0,0.01,1.03)),\n'LeftUpLeg':((0.09,0.01,0.9),(0.11,0.02,0.48)),\n'LeftLeg':((0.11,0.02,0.48),(0.15,0.05,0.08)),\n'LeftFoot':((0.15,0.05,0.08),(0.16,-0.08,0.025)),\n'LeftToeBase':((0.16,-0.08,0.025),(0.16,-0.15,0.025)),\n'Spine02':((0,0.01,1.03),(0,0.01,1.14)),\n'Spine01':((0,0.01,1.14),(0,0.01,1.26)),\n'Spine':((0,0.01,1.26),(0,0.02,1.46)),\n'LeftShoulder':((0.04,0.03,1.38),(0.16,0.07,1.40)),\n'LeftArm':((0.16,0.07,1.40),(0.44,0.08,1.39)),\n'LeftForeArm':((0.44,0.08,1.39),(0.69,0.06,1.38)),\n'LeftHand':((0.69,0.06,1.38),(0.80,0.05,1.385)),\n'neck':((0,0.02,1.46),(0,0.02,1.55)),\n'Head':((0,0.02,1.55),(0,0.02,1.66)),\n'head_end':((0,0.02,1.66),(0,0.02,1.75)),\n'headfront':((0,-0.02,1.62),(0,-0.11,1.62)),\n}\nP={'Hips':None,'LeftUpLeg':'Hips','LeftLeg':'LeftUpLeg','LeftFoot':'LeftLeg','LeftToeBase':'LeftFoot','Spine02':'Hips','Spine01':'Spine02','Spine':'Spine01','LeftShoulder':'Spine','LeftArm':'LeftShoulder','LeftForeArm':'LeftArm','LeftHand':'LeftForeArm','neck':'Spine','Head':'neck','head_end':'Head','headfront':'Head'}\nfor k in list(J):\n    if k.startswith('Left'):\n        r=k.replace('Left','Right'); h,t=J[k]\n        J[r]=((-h[0],h[1],h[2]),(-t[0],t[1],t[2])); p=P[k]; P[r]=p.replace('Left','Right') if p.startswith('Left') else p\nme=bpy.data.objects['CharacterMesh']\narm=bpy.data.armatures.new('CharacterRig'); ob=bpy.data.objects.new('CharacterRig',arm)\nbpy.context.scene.collection.objects.link(ob) if False else me.users_collection[0].objects.link(ob)\nbpy.context.view_layer.objects.active=ob\nbpy.ops.object.mode_set(mode='EDIT')\nfor k,(h,t) in J.items():\n    b=arm.edit_bones.new(k); b.head=h; b.tail=t; b.use_deform=True\nfor k,p in P.items():\n    if p:\n        b=arm.edit_bones[k]; b.parent=arm.edit_bones[p]\n        b.use_connect = (Vector(arm.edit_bones[p].tail)-Vector(b.head)).length<1e-6\nbpy.ops.object.mode_set(mode='OBJECT')\nbpy.ops.object.select_all(action='DESELECT')\nme.select_set(True); ob.select_set(True); bpy.context.view_layer.objects.active=ob\nbpy.ops.object.parent_set(type='ARMATURE_AUTO')\n# check\nn=len(me.data.vertices); names=[g.name for g in me.vertex_groups]\ncnt=0\nfor v in me.data.vertices:\n    if sum(g.weight for g in v.groups)<1e-4: cnt+=1\nprint('unweighted',cnt,n,names)\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/rig.blend')\nEOF\nblender -b /home/ubuntu/task/input/base.blend --python build.py 2>&1 | grep -v \"^Read\" | tail -8","timeout_sec":120}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01XXuy2TvfNxMeYPckbsRZ69","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"Warning: Bone Heat Weighting: failed to find solution for one or more bones\\nunweighted 15823 15823 ['Hips', 'LeftUpLeg', 'LeftLeg', 'LeftFoot', 'LeftToeBase', 'Spine02', 'Spine01', 'Spine', 'LeftShoulder', 'LeftArm', 'LeftForeArm', 'LeftHand', 'neck', 'Head', 'head_end', 'headfront', 'RightShoulder', 'RightArm', 'RightForeArm', 'RightHand', 'RightUpLeg', 'RightLeg', 'RightFoot', 'RightToeBase']\\nInfo: Saved as \\\"rig.blend\\\"\\nBlender 4.5.12 LTS (hash 84afd5f785f7 built 2026-07-21 01:31:22)\\n\\nBlender quit\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":30230,"completion_tokens":2059,"cached_tokens":24574,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":2059,"cache_creation_input_tokens":5652,"cache_read_input_tokens":24574,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_ztvfcpi7n7vrcmzf5h3mdt7ibn4frbuxr75pn5ushatipa4n7jsq"}},{"step_id":10,"timestamp":"2026-09-24T21:13:36.750728+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_015HS1kFtqLJsNZcqKGSzvry","function_name":"bash_command","arguments":{"command":"blender -b --python-expr \"import scipy;print('scipy',scipy.__version__)\" 2>&1 | grep scipy; python3 -c \"import scipy;print(scipy.__version__)\""}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_015HS1kFtqLJsNZcqKGSzvry","content":[{"type":"text","text":"{\"exit_code\":1,\"stdout\":\"ModuleNotFoundError: No module named 'scipy'\\n\",\"stderr\":\"Traceback (most recent call last):\\n  File \\\"<string>\\\", line 1, in <module>\\nModuleNotFoundError: No module named 'scipy'\\n\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"error"}}]},"metrics":{"prompt_tokens":34378,"completion_tokens":787,"cached_tokens":30226,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":787,"cache_creation_input_tokens":4148,"cache_read_input_tokens":30226,"cache_creation":{"ephemeral_5m_input_tokens":4148,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_4c27rxhd3bwww4vws2qhxpm4qmwgarpvffp2xqzf73exhhifb2fa"}},{"step_id":11,"timestamp":"2026-09-24T21:14:01.400999+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01C2Xh5zR28fYR72usvjH9qL","function_name":"bash_command","arguments":{"command":"cd /tmp; python3 - <<'EOF'\ns=open('build.py').read()\ni=s.index(\"bpy.ops.object.select_all\")\ns=s[:i]+'''\nimport mathutils\nV=np.array([me.matrix_world@v.co for v in me.data.vertices]); n=len(V)\nnames=[k for k in J if k not in ('head_end','headfront')]\nD=np.zeros((n,len(names)))\nfor j,k in enumerate(names):\n    a=np.array(J[k][0]);b=np.array(J[k][1]);ab=b-a\n    t=np.clip(((V-a)@ab)/(ab@ab),0,1); D[:,j]=np.linalg.norm(V-(a+t[:,None]*ab),axis=1)\nx=V[:,0];z=V[:,2]\nfor j,k in enumerate(names):\n    bad=np.zeros(n,bool)\n    legs=('UpLeg','Leg','Foot','Toe')\n    isleg=any(s in k for s in legs); isarm=any(s in k for s in ('Arm','Hand','Shoulder'))\n    if k.startswith('Left') and isleg: bad|= x< -0.005\n    if k.startswith('Right') and isleg: bad|= x> 0.005\n    if k.startswith('Left') and isarm: bad|= x< 0.0\n    if k.startswith('Right') and isarm: bad|= x> 0.0\n    if isleg: bad|= z>1.05\n    if isarm: bad|= z<1.0\n    if k in ('neck','Head'): bad|= z<1.3\n    if k in ('Spine02','Spine01','Spine','Hips') : bad|= (abs(x)>0.3)\n    if isleg and 'UpLeg' not in k: bad|= z>0.75\n    D[bad,j]=1e3\nW=1.0/np.maximum(D,0.004)**4\nW/=W.sum(1,keepdims=True)\nkd=mathutils.kdtree.KDTree(n)\nfor i,v in enumerate(V): kd.insert(v,i)\nkd.balance()\nnb=[[idx for (_,idx,_) in kd.find_range(V[i],0.025)] for i in range(n)]\nfor it in range(3):\n    W=np.array([W[l].mean(0) for l in nb])\ntop=np.argsort(-W,1)[:,4:]\nnp.put_along_axis(W,top,0,1)\nW[W<1e-3]=0\nW/=W.sum(1,keepdims=True)\nfor k in J: me.vertex_groups.new(name=k)\nfor j,k in enumerate(names):\n    g=me.vertex_groups[k]\n    for i in np.nonzero(W[:,j])[0]: g.add([int(i)],float(W[i,j]),'REPLACE')\nm=me.modifiers.new('Armature','ARMATURE'); m.object=ob\nprint('maxinf',(W>0).sum(1).max(),'minsum',W.sum(1).min())\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/rig.blend')\n'''\nopen('build2.py','w').write(s)\nEOF\nblender -b /home/ubuntu/task/input/base.blend --python build2.py 2>&1 | grep -v \"^Read\" | tail -5","timeout_sec":120}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01C2Xh5zR28fYR72usvjH9qL","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"maxinf 4 minsum 0.9999999999999997\\nInfo: Saved as \\\"rig.blend\\\"\\nBlender 4.5.12 LTS (hash 84afd5f785f7 built 2026-07-21 01:31:22)\\n\\nBlender quit\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":37032,"completion_tokens":1355,"cached_tokens":34374,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":1355,"cache_creation_input_tokens":2654,"cache_read_input_tokens":34374,"cache_creation":{"ephemeral_5m_input_tokens":2654,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_6t55abfkx5rtl2pkeezw7x24xp6brokwxcxdoz6ixwythhncy4ma"}},{"step_id":12,"timestamp":"2026-09-24T21:14:36.009936+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_012f5ouG7c1w24VyC5LReRfJ","function_name":"bash_command","arguments":{"command":"cd /tmp; cat > fit.py <<'EOF'\nimport bpy,numpy as np,json,sys\nfrom mathutils import Quaternion,Matrix,Euler\nfrom PIL import Image\ncams=json.load(open('/home/ubuntu/task/input/cameras.json'))['views']\nob=bpy.data.objects['CharacterRig']; me=bpy.data.objects['CharacterMesh']\ndef proj(P,c):\n    R=np.array(Quaternion(c['rotation_quaternion']).to_matrix())\n    L=np.array(c['location']); Q=(P-L)@R  # camera coords\n    s=c['ortho_scale']/512\n    u=Q[:,0]/s+192; v=256-Q[:,1]/s\n    return u,v\nrefs={}\ndef refmask(pose,k):\n    a=np.array(Image.open(f'/home/ubuntu/task/input/pose-reference-{pose}-v{k}.png'))[:,:,3]>128\n    return a\ndef mymask(P,c):\n    u,v=proj(P,c); m=np.zeros((512,384),bool)\n    ui=np.clip(np.round(u).astype(int),0,383); vi=np.clip(np.round(v).astype(int),0,511)\n    for du in (-1,0,1):\n        for dv in (-1,0,1):\n            m[np.clip(vi+dv,0,511),np.clip(ui+du,0,383)]=True\n    return m\ndef setpose(p):\n    for pb in ob.pose.bones:\n        pb.rotation_mode='QUATERNION'; pb.rotation_quaternion=(1,0,0,0); pb.location=(0,0,0)\n    for bn,(ax,ang) in p.items():\n        if bn=='loc': ob.pose.bones['Hips'].location=ang; continue\n    for bn,rots in p.items():\n        if bn=='loc': continue\n        pb=ob.pose.bones[bn]; Rr=pb.bone.matrix_local.to_3x3()\n        Rw=Matrix.Identity(3)\n        for ax,ang in rots: Rw=Matrix.Rotation(np.radians(ang),3,ax)@Rw\n        pb.rotation_quaternion=(Rr.inverted()@Rw@Rr).to_quaternion()\ndef verts():\n    bpy.context.view_layer.update()\n    dg=bpy.context.evaluated_depsgraph_get(); e=me.evaluated_get(dg); m=e.to_mesh()\n    P=np.empty(len(m.vertices)*3); m.vertices.foreach_get('co',P); P=P.reshape(-1,3)\n    e.to_mesh_clear()\n    Mw=np.array(me.matrix_world); return P@Mw[:3,:3].T+Mw[:3,3]\ndef score(pose,p):\n    setpose(p); P=verts(); tot=0\n    for k,c in enumerate(cams,1):\n        if (pose,k) not in refs: refs[(pose,k)]=refmask(pose,k)\n        r=refs[(pose,k)]; m=mymask(P,c)\n        tot+=(r&m).sum()/(r|m).sum()\n    return tot/3\nEOF\ncat > t1.py <<'EOF'\nexec(open('/tmp/fit.py').read())\nprint('neutral',score('neutral',{}))\nfor p in ['elbow_flex','left_step','bilateral_knee_flexion']: print(p, score(p.replace('_','-'),{}))\nEOF\nblender -b /tmp/rig.blend --python t1.py 2>&1 | grep -v \"^Read\" | tail -6","timeout_sec":120}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_012f5ouG7c1w24VyC5LReRfJ","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"  File \\\"/tmp/t1.py\\\", line 1, in <module>\\n    exec(open('/tmp/fit.py').read())\\n  File \\\"<string>\\\", line 3, in <module>\\nModuleNotFoundError: No module named 'PIL'\\n\\nBlender quit\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":40265,"completion_tokens":1962,"cached_tokens":37028,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":1962,"cache_creation_input_tokens":3233,"cache_read_input_tokens":37028,"cache_creation":{"ephemeral_5m_input_tokens":3233,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_zqdvoemq35uuhgrbh3nfglslyc2fmhkgyxxrytwzr326varhbafq"}},{"step_id":13,"timestamp":"2026-09-24T21:14:48.594430+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"Convert masks to npy with system python first.","tool_calls":[{"tool_call_id":"toolu_bdrk_01Lmjae1zs1h6uwATFV2qJC5","function_name":"bash_command","arguments":{"command":"cd /tmp; python3 -c \"\nimport numpy as np,glob,os\nfrom PIL import Image\nfor f in glob.glob('/home/ubuntu/task/input/pose-reference-*.png'):\n  np.save('/tmp/'+os.path.basename(f)[:-4]+'.npy', np.array(Image.open(f))[:,:,3]>128)\n\"; sed -i 's/^from PIL import Image//; s#a=np.array(Image.open(f.*#a=np.load(f\"/tmp/pose-reference-{pose}-v{k}.npy\")#' fit.py\nblender -b /tmp/rig.blend --python t1.py 2>&1 | grep -v \"^Read\" | tail -6","timeout_sec":120}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01Lmjae1zs1h6uwATFV2qJC5","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"elbow_flex 0.6409555673032449\\nleft_step 0.5372494523686329\\nbilateral_knee_flexion 0.5748187707921958\\nBlender 4.5.12 LTS (hash 84afd5f785f7 built 2026-07-21 01:31:22)\\n\\nBlender quit\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":44107,"completion_tokens":325,"cached_tokens":40261,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":325,"cache_creation_input_tokens":3842,"cache_read_input_tokens":40261,"cache_creation":{"ephemeral_5m_input_tokens":3842,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_vvp5tjiv7mzpf3uqbyimlbg6uct3ggcch2a5kk5ixp76vk2ituwq"}},{"step_id":14,"timestamp":"2026-09-24T21:15:09.234263+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_012Qm6NirsL9km7kX3REQY3W","function_name":"bash_command","arguments":{"command":"cd /tmp; cat > t2.py <<'EOF'\nexec(open('/tmp/fit.py').read())\nX,Y,Z='X','Y','Z'\nprint('neutral',score('neutral',{}))\ndef build(pose,v):\n    if pose=='elbow-flex':\n        a,b,c=v; return {'LeftForeArm':[(Z,-a),(Y,b)],'RightForeArm':[(Z,a),(Y,-b)],'LeftArm':[(Z,-c)],'RightArm':[(Z,c)]}\n    if pose=='left-step':\n        a,b,c,d,e=v; return {'LeftUpLeg':[(X,-a)],'LeftLeg':[(X,b)],'RightUpLeg':[(X,c)],'RightLeg':[(X,d)],'loc':(0,0,0) , 'LeftFoot':[(X,-e)]}\n    if pose=='bilateral-knee-flexion':\n        a,b,c,e=v; return {'LeftUpLeg':[(X,-a)],'LeftLeg':[(X,b)],'RightUpLeg':[(X,-a)],'RightLeg':[(X,b)],'LeftFoot':[(X,-e)],'RightFoot':[(X,-e)],'loc':(0,0,-c)}\ninit={'elbow-flex':[90,0,0],'left-step':[25,40,15,10,0],'bilateral-knee-flexion':[25,50,0.0,0]}\nsteps={'elbow-flex':[20,10,10],'left-step':[10,10,10,10,10],'bilateral-knee-flexion':[10,10,0.04,10]}\nres={}\nfor pose in init:\n    v=list(init[pose]); st=list(steps[pose]); best=score(pose,build(pose,v))\n    for rnd in range(5):\n        for i in range(len(v)):\n            for sgn in (1,-1):\n                while True:\n                    w=list(v); w[i]+=sgn*st[i]; s=score(pose,build(pose,w))\n                    if s>best+1e-5: best,v=s,w\n                    else: break\n        st=[s/2 for s in st]\n    res[pose]=v; print(pose,best,v,flush=True)\njson.dump(res,open('/tmp/res.json','w'))\nEOF\nblender -b /tmp/rig.blend --python t2.py 2>&1 | grep -v \"^Read\" | tail -6","timeout_sec":120}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_012Qm6NirsL9km7kX3REQY3W","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"  File \\\"<string>\\\", line 41, in score\\n  File \\\"<string>\\\", line 26, in setpose\\nValueError: not enough values to unpack (expected 2, got 1)\\nneutral 0.6801584661460879\\n\\nBlender quit\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":46324,"completion_tokens":1014,"cached_tokens":44103,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":1014,"cache_creation_input_tokens":2217,"cache_read_input_tokens":44103,"cache_creation":{"ephemeral_5m_input_tokens":2217,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_jxsq2bdzxjvgsbldn2mnuye2k3pk7d3kbds5xdapujfsn32kgmdq"}},{"step_id":15,"timestamp":"2026-09-24T21:15:23.513766+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_019geYbD1VPFkaj1gWnneczf","function_name":"bash_command","arguments":{"command":"cd /tmp; python3 - <<'EOF'\ns=open('fit.py').read()\ns=s.replace(\"\"\"    for bn,(ax,ang) in p.items():\n        if bn=='loc': ob.pose.bones['Hips'].location=ang; continue\n\"\"\",\"\"\"    if 'loc' in p: ob.pose.bones['Hips'].location=p['loc']\n\"\"\")\nopen('fit.py','w').write(s)\nEOF\ncat > t3.py <<'EOF'\nexec(open('/tmp/fit.py').read())\nsetpose({});P=verts()\nfor k,c in enumerate(cams,1):\n    r=refmask('neutral',k); m=mymask(P,c)\n    for M in (r,m):\n        ys,xs=np.nonzero(M); print(k,xs.min(),xs.max(),ys.min(),ys.max(),M.sum())\nEOF\nblender -b /tmp/rig.blend --python t3.py 2>&1 | grep -v \"^Read\" | head -8","timeout_sec":60}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_019geYbD1VPFkaj1gWnneczf","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"1 32 351 87 424 19939\\n1 31 353 86 426 17697\\n2 66 337 56 455 26459\\n2 65 339 55 457 21335\\n3 153 230 43 468 18266\\n3 152 232 42 470 14560\\nBlender 4.5.12 LTS (hash 84afd5f785f7 built 2026-07-21 01:31:22)\\n\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":49207,"completion_tokens":483,"cached_tokens":46320,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":483,"cache_creation_input_tokens":2883,"cache_read_input_tokens":46320,"cache_creation":{"ephemeral_5m_input_tokens":2883,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_wfevqp75n3ivft6vrpyyj7nkcrdthex4w7oninlji3rlwqmr2zza"}},{"step_id":16,"timestamp":"2026-09-24T21:15:41.345037+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01BJvE3DgJVoWexonXqaTyFh","function_name":"bash_command","arguments":{"command":"cd /tmp; python3 - <<'EOF'\ns=open('fit.py').read()\ns=s.replace(\"\"\"    for du in (-1,0,1):\n        for dv in (-1,0,1):\n            m[np.clip(vi+dv,0,511),np.clip(ui+du,0,383)]=True\n    return m\"\"\",\"\"\"    for du in (-2,-1,0,1,2):\n        for dv in (-2,-1,0,1,2):\n            m[np.clip(vi+dv,0,511),np.clip(ui+du,0,383)]=True\n    e=m.copy()\n    for du in (-1,0,1):\n        for dv in (-1,0,1):\n            e&=np.roll(np.roll(m,du,1),dv,0)\n    return e\"\"\")\nopen('fit.py','w').write(s)\nEOF\nblender -b /tmp/rig.blend --python t2.py 2>&1 | grep -v \"^Read\" | tail -6","timeout_sec":120}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01BJvE3DgJVoWexonXqaTyFh","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"elbow-flex 0.7774478820886587 [95.0, 20.625, 10]\\nleft-step 0.7570857609290282 [25, 53.125, 15, -2.5, 13.125]\\nbilateral-knee-flexion 0.7513406881694721 [25, 56.25, 0.0075, 5.625]\\nBlender 4.5.12 LTS (hash 84afd5f785f7 built 2026-07-21 01:31:22)\\n\\nBlender quit\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":51605,"completion_tokens":513,"cached_tokens":49203,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":513,"cache_creation_input_tokens":2398,"cache_read_input_tokens":49203,"cache_creation":{"ephemeral_5m_input_tokens":2398,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_plsqhs2gcub5d7c4pwojcykzgmftupkgl34uqkmcoqz2imfw7gmq"}},{"step_id":17,"timestamp":"2026-09-24T21:16:15.343722+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01GEH49LJ2qeCgPpt2mdtawk","function_name":"bash_command","arguments":{"command":"cd /tmp; cat > final.py <<'EOF'\nexec(open('/tmp/fit.py').read())\nexec(open('/tmp/t2.py').read().split(\"init=\")[0].split(\"print('neutral'\")[0])\nX,Y,Z='X','Y','Z'\nsrc=open('/tmp/t2.py').read(); exec(src[src.index('def build'):src.index('init=')])\nres=json.load(open('/tmp/res.json'))\nsc=bpy.context.scene\nframes={'neutral':1,'elbow-flex':11,'left-step':21,'bilateral-knee-flexion':31}\nob.animation_data_create()\nfor pose,f in frames.items():\n    setpose({} if pose=='neutral' else build(pose,res[pose]))\n    for pb in ob.pose.bones:\n        pb.keyframe_insert('rotation_quaternion',frame=f); pb.keyframe_insert('location',frame=f)\nfor fc in ob.animation_data.action.fcurves:\n    for k in fc.keyframe_points: k.interpolation='CONSTANT'\nimport os; os.makedirs('/home/ubuntu/task/output/submission',exist_ok=True)\nsc.frame_set(1)\nbpy.ops.wm.save_as_mainfile(filepath='/home/ubuntu/task/output/submission/result.blend')\n# rendering (not saved)\nob.hide_render=True\nfor o in bpy.data.objects:\n    if o.type!='MESH': o.hide_render=True\ncd=bpy.data.cameras.new('tmpcam'); co=bpy.data.objects.new('tmpcam',cd); sc.collection.objects.link(co); sc.camera=co\nsc.render.engine='BLENDER_WORKBENCH'; sc.display.shading.light='STUDIO'; sc.display.shading.color_type='SINGLE'\nsc.render.resolution_x=384; sc.render.resolution_y=512; sc.render.resolution_percentage=100\nsc.render.image_settings.file_format='PNG'\nfor pose,f in frames.items():\n    sc.frame_set(f)\n    for k,c in enumerate(cams,1):\n        cd.type='ORTHO'; cd.ortho_scale=c['ortho_scale']; cd.clip_start,cd.clip_end=c['clip']; cd.sensor_width=c['sensor_width']\n        co.location=c['location']; co.rotation_mode='QUATERNION'; co.rotation_quaternion=c['rotation_quaternion']\n        sc.render.filepath=f'/home/ubuntu/task/output/submission/pose-{pose}-v{k}.png'\n        bpy.ops.render.render(write_still=True)\nEOF\nblender -b /tmp/rig.blend --python final.py 2>&1 | grep -iE \"error|saved\" | head; ls /home/ubuntu/task/output/submission","timeout_sec":120}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01GEH49LJ2qeCgPpt2mdtawk","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"EGL Error (0x3009): EGL_BAD_MATCH: Arguments are inconsistent (for example, a valid context requires buffers not supplied by a valid surface).\\nEGL Error (0x3009): EGL_BAD_MATCH: Arguments are inconsistent (for example, a valid context requires buffers not supplied by a valid surface).\\nEGL Error (0x3009): EGL_BAD_MATCH: Arguments are inconsistent (for example, a valid context requires buffers not supplied by a valid surface).\\nSaved: '/home/ubuntu/task/output/submission/pose-neutral-v1.png'\\nSaved: '/home/ubuntu/task/output/submission/pose-neutral-v2.png'\\nSaved: '/home/ubuntu/task/output/submission/pose-neutral-v3.png'\\nSaved: '/home/ubuntu/task/output/submission/pose-elbow-flex-v1.png'\\nSaved: '/home/ubuntu/task/output/submission/pose-elbow-flex-v2.png'\\nSaved: '/home/ubuntu/task/output/submission/pose-elbow-flex-v3.png'\\nSaved: '/home/ubuntu/task/output/submission/pose-left-step-v1.png'\\nbase.blend\\ncameras.json\\ncharacter-reference.png\\npose-bilateral-knee-flexion-v1.png\\npose-bilateral-knee-flexion-v2.png\\npose-bilateral-knee-flexion-v3.png\\npose-elbow-flex-v1.png\\npose-elbow-flex-v2.png\\npose-elbow-flex-v3.png\\npose-left-step-v1.png\\npose-left-step-v2.png\\npose-left-step-v3.png\\npose-neutral-v1.png\\npose-neutral-v2.png\\npose-neutral-v3.png\\npose-reference-bilateral-knee-flexion-v1.png\\npose-reference-bilateral-knee-flexion-v2.png\\npose-reference-bilateral-knee-flexion-v3.png\\npose-reference-elbow-flex-v1.png\\npose-reference-elbow-flex-v2.png\\npose-reference-elbow-flex-v3.png\\npose-reference-left-step-v1.png\\npose-reference-left-step-v2.png\\npose-reference-left-step-v3.png\\npose-reference-neutral-v1.png\\npose-reference-neutral-v2.png\\npose-reference-neutral-v3.png\\nresult.blend\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":54066,"completion_tokens":1348,"cached_tokens":51601,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":1348,"cache_creation_input_tokens":2461,"cache_read_input_tokens":51601,"cache_creation":{"ephemeral_5m_input_tokens":2461,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_qcs5hwrsnmbrjexdorbzekm2yt3wduewqe3tvujuqvde5gixbyvq"}},{"step_id":18,"timestamp":"2026-09-24T21:16:27.805668+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01XcgTdMsdGzun2ejTLzj1Ud","function_name":"bash_command","arguments":{"command":"ls -la /home/ubuntu/task/output/ /home/ubuntu/task/output/submission | head -50"}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01XcgTdMsdGzun2ejTLzj1Ud","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"lrwxrwxrwx 1 ubuntu ubuntu  4 Sep 24 21:07 /home/ubuntu/task/output/submission -> /app\\n\\n/home/ubuntu/task/output/:\\ntotal 0\\ndrwxr-xr-x 2 ubuntu ubuntu 32 Sep 24 21:07 .\\ndrwxr-xr-x 3 ubuntu ubuntu 45 Sep 24 21:07 ..\\nlrwxrwxrwx 1 ubuntu ubuntu  4 Sep 24 21:07 submission -> /app\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":58056,"completion_tokens":185,"cached_tokens":54062,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":185,"cache_creation_input_tokens":3990,"cache_read_input_tokens":54062,"cache_creation":{"ephemeral_5m_input_tokens":3990,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_57m3r6ou5rjxjrxvy7s2tt3g3dueeotf73kybychf6b44k4gh67a"}},{"step_id":19,"timestamp":"2026-09-24T21:16:47.785040+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01EdDVU2h47fvyku9hJZEAQE","function_name":"bash_command","arguments":{"command":"cd /app; ls -la pose-*.png result.blend | grep -v reference; montage pose-reference-neutral-v1.png pose-neutral-v1.png pose-reference-elbow-flex-v3.png pose-elbow-flex-v3.png pose-reference-left-step-v3.png pose-left-step-v3.png pose-reference-bilateral-knee-flexion-v3.png pose-bilateral-knee-flexion-v3.png pose-reference-left-step-v2.png pose-left-step-v2.png -tile 10x1 -geometry 140x187+1+1 /tmp/cmp.png; (DISPLAY=:1 timeout 60 display -geometry +0+0 /tmp/cmp.png >/dev/null 2>&1 &); sleep 3","timeout_sec":20}},{"tool_call_id":"toolu_bdrk_01GbaNBFvz5KWBs3pvYYat65","function_name":"computer","arguments":{"action":"zoom","region":[0,0,1440,220]}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01EdDVU2h47fvyku9hJZEAQE","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"-rw-rw-r-- 1 ubuntu ubuntu    96978 Sep 24 21:16 pose-bilateral-knee-flexion-v1.png\\n-rw-rw-r-- 1 ubuntu ubuntu   112075 Sep 24 21:16 pose-bilateral-knee-flexion-v2.png\\n-rw-rw-r-- 1 ubuntu ubuntu    99785 Sep 24 21:16 pose-bilateral-knee-flexion-v3.png\\n-rw-rw-r-- 1 ubuntu ubuntu    96791 Sep 24 21:16 pose-elbow-flex-v1.png\\n-rw-rw-r-- 1 ubuntu ubuntu   109775 Sep 24 21:16 pose-elbow-flex-v2.png\\n-rw-rw-r-- 1 ubuntu ubuntu   100317 Sep 24 21:16 pose-elbow-flex-v3.png\\n-rw-rw-r-- 1 ubuntu ubuntu    97912 Sep 24 21:16 pose-left-step-v1.png\\n-rw-rw-r-- 1 ubuntu ubuntu   105937 Sep 24 21:16 pose-left-step-v2.png\\n-rw-rw-r-- 1 ubuntu ubuntu   111289 Sep 24 21:16 pose-left-step-v3.png\\n-rw-rw-r-- 1 ubuntu ubuntu    98380 Sep 24 21:16 pose-neutral-v1.png\\n-rw-rw-r-- 1 ubuntu ubuntu   110483 Sep 24 21:16 pose-neutral-v2.png\\n-rw-rw-r-- 1 ubuntu ubuntu    98795 Sep 24 21:16 pose-neutral-v3.png\\n-rw-rw-r-- 1 ubuntu ubuntu 23720489 Sep 24 21:16 result.blend\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}},{"source_call_id":"toolu_bdrk_01GbaNBFvz5KWBs3pvYYat65","content":[{"type":"text","text":"OK"},{"type":"image","source":{"media_type":"image/webp","path":"screenshot_ep17_action1.webp"}}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":60232,"completion_tokens":457,"cached_tokens":58052,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":457,"cache_creation_input_tokens":2176,"cache_read_input_tokens":58052,"cache_creation":{"ephemeral_5m_input_tokens":2176,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_p6pwtovty55wtovdyw2odilueskkkvtrz4nu3twyzbkpigbk36ra"}},{"step_id":20,"timestamp":"2026-09-24T21:17:00.525909+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"","tool_calls":[{"tool_call_id":"toolu_bdrk_01A9jDq4LQLCCSgPusn25mmH","function_name":"bash_command","arguments":{"command":"pkill display; cd /tmp; cat > chk.py <<'EOF'\nimport bpy\nprint([ (o.name,o.type) for o in bpy.data.objects], bpy.data.objects['CharacterRig'].animation_data.action.name, [m.type for m in bpy.data.objects['CharacterMesh'].modifiers], len(bpy.data.objects['CharacterRig'].data.bones))\nEOF\nblender -b /app/result.blend --python chk.py 2>&1 | grep Character","timeout_sec":60}}],"observation":{"results":[{"source_call_id":"toolu_bdrk_01A9jDq4LQLCCSgPusn25mmH","content":[{"type":"text","text":"{\"exit_code\":0,\"stdout\":\"[('CharacterMesh', 'MESH'), ('CharacterRig', 'ARMATURE')] CharacterRigAction ['ARMATURE'] 24\\n\",\"stderr\":\"\",\"timed_out\":false,\"stdout_truncated\":false,\"stderr_truncated\":false}"}],"extra":{"execution_status":"success"}}]},"metrics":{"prompt_tokens":61967,"completion_tokens":306,"cached_tokens":60228,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":306,"cache_creation_input_tokens":1735,"cache_read_input_tokens":60228,"cache_creation":{"ephemeral_5m_input_tokens":1735,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_4h3g2rtjgdgullkvo52kzfi7534o5mbbhuek7qdmcowlgctsgdja"}},{"step_id":21,"timestamp":"2026-09-24T21:17:18.276103+00:00","source":"agent","model_name":"us.anthropic.claude-opus-5-5","message":"I've saved `result.blend` and all 12 pose renders to `/home/ubuntu/task/output/submission/`, which links to `/app`. In the one side-by-side comparison I looked at, my renders look close to the reference images. I couldn't run the grader, so none of the scores are known.\n\n- **Rig:** `CharacterRig` has the 24 required bones with the specified parents, all set to deform. I placed the joints by measuring cross-sections of the mesh, since no coordinates were given, so the rest-joint accuracy against the hidden reference is unmeasured.\n- **Skin weights:** Blender's automatic weighting failed on this mesh and weighted no vertices, so I computed the weights myself. Each vertex takes its weights from the nearest bones, restricted by body region so the left leg can't pull on the right. I smoothed them between neighbouring points, then capped at 4 influences and normalised.\n  - Every vertex has positive weight, sums are 1.0, and no vertex uses more than 4 bones.\n  - `head_end` and `headfront` have vertex groups but no weights.\n  - `CharacterMesh` has an Armature modifier pointing at the rig. I didn't parent the mesh to the rig, so its transform is unchanged.\n- **Poses:** The armature is keyed at frames 1, 11, 21 and 31 (neutral, elbow flex, left step, knee flexion), with constant interpolation. I recovered the angles by fitting my deformed mesh's outline to the reference images from all three views.\n  - Average overlap reached about 0.75–0.78 for the three posed frames, in a rough check where the neutral pose itself scored well below 1.0.\n  - I compared renders against the references at small size for neutral from the front and the other poses from the right, plus left step from the three-quarter view. The other views weren't compared.\n- **Renders:** Workbench at 384×512 from the published cameras, with the armature hidden. The temporary render camera was never saved into `result.blend`.\n- **Scene:** The saved file contains only the mesh and the rig; the original geometry, transforms, materials and render settings weren't edited.","metrics":{"prompt_tokens":64117,"completion_tokens":704,"cached_tokens":61963,"extra":{"provider_usage":{"input_tokens":4,"output_tokens":704,"cache_creation_input_tokens":2150,"cache_read_input_tokens":61963,"cache_creation":{"ephemeral_5m_input_tokens":2150,"ephemeral_1h_input_tokens":0}}}},"extra":{"response_id":"msg_bdrk_shkcgzkv3rgigrnuxoc5kt64yobqcwjao3x4tzaiinjonjmcqhbq"}}],"final_metrics":{"total_prompt_tokens":739207,"total_completion_tokens":17094,"total_cached_tokens":675014},"extra":{"early_termination_reason":"task_complete"}}