[2026-09-14T11:15:45.309261+00:00] evalarc_local_model_pilot -public-demo-robot-recording-review/evalarc- tool_use  score=0.949
  → get evalarc-public-2f665fd5734bb89435224913 --from 5 --to 11 --memory /home/dcvuser/work/robot-reel-agents/codex/artifacts/research-rollout-20260914/handoff-pilot/funes/memory
[tool_use write_file] {"path":"/workspace/main.py","content":"\"\"\"Implement the recording-review contract described in TASK.md.\"\"\"\n\nimport json\nimport sys\n\n\ndef review(request):\n    # Extract the query frame\n    query_frame = request[\"query_frame\"]\n    recording = request[\"recording\"]\n    source_sha256 = recording[\"source\"][\"sha256\"]\n    metadata = recording[\"metadata\"]\n    observations = recording[\"observations\"]\n\n    # Process metadata\n    expected_frames = metadata[\"expected_frames\"]\n    world_from_sensor = metadata[\"world_from_sensor\"]\n    axes = world_from_sensor[\"axes\"]\n    signs = world_from_sensor[\"signs\"]\n    origin_m = world_from_sensor[\"origin_m\"]\n    meters_per_unit = world_from_sensor[\"meters_per_unit\"]\n    clock = metadata[\"clock\"]\n    origin_tick = clock[\"origin_tick\"]\n    seconds_per_tick = clock[\"seconds_per_tick\"]\n    analytic = metadata[\"analytic\"]\n    position0_m = analytic[\"position0_m\"]\n    velocity0_m_s = analytic[\"velocity0_m_s\"]\n    gravity_m_s2 = analytic[\"gravity_m_s2\"]\n\n    # Process observations\n    observations_dict = {obs[\"frame\"]: obs for obs in observations}\n
---
[2026-09-14T11:15:45.309261+00:00] evalarc_local_model_pilot -public-demo-robot-recording-review/evalarc- text  score=0.652
  → get evalarc-public-2f665fd5734bb89435224913 --from 2 --to 8 --memory /home/dcvuser/work/robot-reel-agents/codex/artifacts/research-rollout-20260914/handoff-pilot/funes/memory
{"ok": true, "content": "# Robot recording evidence review\n\nImplement a JSON-lines service that reviews recorded positions and velocities.\nEach stdin line is one request. Write exactly one JSON response per request to\nstdout; diagnostics belong on stderr. Exit cleanly when stdin reaches EOF.\n\nThe input contains an `op` of `review`, a `query_frame`, and a `recording`:\n\n- `source.sha256` identifies the original recorded file. Preserve it in the report.\n- `metadata.expected_frames` lists every frame that should be present.\n- `metadata.world_from_sensor` describes the coordinate convention.\n  For world component `j`, take sensor component `axes[j]`, multiply by\n  `signs[j]` and `meters_per_unit`, then add `origin_m[j]` for positions.\n  Velocities use the same axis/sign/unit mapping without translation.\n- `metadata.clock` defines elapsed seconds as\n  `(tick - origin_tick) * seconds_per_tick`.\n- `metadata.analytic` gives initial position, initial velocity and constant\n  acceleration in world metres and seconds.\n- `observations` contains objects with `frame`, `tick`, `position`, and `velocity`.\n  Input order is arbitrary. Some expected frames may be absent. The queried
---
[2026-09-14T11:15:45.309261+00:00] evalarc_local_model_pilot -public-demo-robot-recording-review/evalarc- tool_use  score=0.650
  → get evalarc-public-2f665fd5734bb89435224913 --from 5 --to 11 --memory /home/dcvuser/work/robot-reel-agents/codex/artifacts/research-rollout-20260914/handoff-pilot/funes/memory
d_position[2] - expected_position[2]) ** 2\n        error = error ** 0.5\n        if error > max_position_error_m:\n            max_position_error_m = error\n\n    # Find peak_frame and peak_height_m\n    peak_frame = None\n    peak_height_m = -float('inf')\n    for frame in available_frames:\n        obs = observations_dict[frame]\n        position = obs[\"position\"]\n        # Convert position to world coordinates\n        world_position = [\n            position[axes[0]] * signs[0] * meters_per_unit + origin_m[0],\n            position[axes[1]] * signs[1] * meters_per_unit + origin_m[1],\n            position[axes[2]] * signs[2] * meters_per_unit + origin_m[2]\n        ]\n        if world_position[2] > peak_height_m:\n            peak_height_m = world_position[2]\n            peak_frame = frame\n        elif world_position[2] == peak_height_m:\n            if frame < peak_frame:\n                peak_frame = frame\n\n    # Find missing_frames\n    missing_frames = []\n    for frame in expected_frames:\n        if frame not in observations_dict:\n            missing_frames.append(frame)\n    missing_frames.sort()\n\n    # Create report\n    report = {\n
---
[2026-09-14T11:15:45.309261+00:00] evalarc_local_model_pilot -public-demo-robot-recording-review/evalarc- tool_use  score=0.640
  → get evalarc-public-2f665fd5734bb89435224913 --from 7 --to 13 --memory /home/dcvuser/work/robot-reel-agents/codex/artifacts/research-rollout-20260914/handoff-pilot/funes/memory
[tool_use run_command] {"command":"python3 /workspace/main.py < /workspace/example.jsonl"}
---