eval/agent-results.json

{
  "pi": {
    "code": {
      "scores": [
        1.0,
        1.0,
        1.0
      ],
      "mean": 1.0,
      "stdev": 0.0,
      "latency_s": 20.7,
      "last_response": "```python\ndef merge_windows(spans, gap=0):\n    spans = sorted(spans, key=lambda s: s[0])\n    out = [spans[0]]\n    for start, end in spans[1:]:\n        last = out[-1]\n        if start - last[1] <= gap:\n            out[-1] = (last[0], last[1])\n        else:\n            out.append((start, end))\n    return out\n```\nLine 7 should be `out[-1] = (last[0], max(last[1], end))` to actually merge the overlapping span, but instead it reassigns the tuple to its original value `(last[0], last[1])`, so the merged window's end is never extended."
    },
    "chart": {
      "scores": [
        0.714,
        0.714,
        0.429
      ],
      "mean": 0.619,
      "stdev": 0.165,
      "latency_s": 16.4,
      "last_response": "Here's my reading of the chart:\n**Tallest bar:** **delta**, at approximately **38**\n**Shortest bar:** **epsilon**, at approximately **7**\n**Approximate values for all five bars:**\n| Bar | Value |\n|------|-------|\n| alpha | ~12 |\n| beta | ~33 |\n| gamma | ~22 |\n| delta | ~38 |\n| epsilon | ~7 |\nSo, ordered from shortest to tallest: epsilon (7) \u2192 alpha (12) \u2192 gamma (22) \u2192 beta (33) \u2192 delta (38)."
    },
    "shapes": {
      "scores": [
        0.5,
        1.0,
        1.0
      ],
      "mean": 0.833,
      "stdev": 0.289,
      "latency_s": 14.7,
      "last_response": "3 squares (blue), 4 circles (red), 2 triangles (green)."
    },
    "ui": {
      "scores": [
        1.0,
        1.0,
        1.0
      ],
      "mean": 1.0,
      "stdev": 0.0,
      "latency_s": 9.5,
      "last_response": "Based on the screenshot, here are the settings and buttons:\n**Settings:**\n*   **Region:** us-west-2\n*   **Replicas:** 3\n*   **Autoscale:** Enabled\n*   **Max memory:** 16 GiB\n*   **Health path:** /healthz\n**Bottom Buttons:**\n*   Cancel\n*   Save"
    },
    "_overall": 0.863
  },
  "kilo": {
    "code": {
      "scores": [
        1.0,
        1.0,
        0.0
      ],
      "mean": 0.667,
      "stdev": 0.577,
      "latency_s": 89.1,
      "last_response": ""
    },
    "chart": {
      "scores": [
        0.571,
        0.143,
        0.714
      ],
      "mean": 0.476,
      "stdev": 0.297,
      "latency_s": 32.0,
      "last_response": "The tallest bar is **delta** at roughly 35 requests/sec, and the shortest is **alpha** at about 10 requests/sec. Here are the approximate values for all five bars:\n- alpha: ~10 requests/sec\n- beta: ~25 requests/sec\n- gamma: ~15 requests/sec\n- delta: ~35 requests/sec\n- epsilon: ~20 requests/sec"
    },
    "shapes": {
      "scores": [
        0.833,
        0.667,
        0.833
      ],
      "mean": 0.778,
      "stdev": 0.096,
      "latency_s": 39.0,
      "last_response": "3 circles (red), 3 squares (blue), 2 triangles (green)."
    },
    "ui": {
      "scores": [
        1.0,
        1.0,
        1.0
      ],
      "mean": 1.0,
      "stdev": 0.0,
      "latency_s": 18.8,
      "last_response": "Settings:\n- Region: us-west-2\n- Replicas: 3\n- Autoscale: Enabled\n- Max memory: 16 GiB\n- Health path: /healthz\nBottom buttons: Cancel and Save."
    },
    "_overall": 0.73
  }
}