{
  "attempt": "attempt-02",
  "campaign": "2026-08-28-natural-quickstarts",
  "cast": {
    "bytes": 2542632,
    "cols": 120,
    "events": 5153,
    "path": "session.cast",
    "rows": 40,
    "sha256": "c94efa197bb0e842a03b533c43b2c52599ecb3cf82e62f9b896ccbeacc0df12a"
  },
  "classification": "measured",
  "classification_note": "runner_exit reflects the superseded verifier; retained replay output passes evaluation revision 2",
  "first_retrieval": {
    "command": "python quickstart.py",
    "observed_at_epoch_ms": 1787959984150,
    "resolution_seconds": 0.001,
    "result_bytes": 988,
    "result_sha256": "c800d0694acdcc271be06264f207a8e2ed65809513ab516c31d10c19c048c724",
    "seconds_from_session_start": 198.412,
    "source": "pi_tool_result",
    "started_at_epoch_ms": 1787959973296,
    "tokens": {
      "cache_read": 150016,
      "cache_write": 0,
      "cost_usd": 0.385518,
      "input": 41822,
      "output": 3380,
      "tool_calls": 16,
      "total": 195218
    },
    "tool_call_index": 16
  },
  "pi_session": {
    "bytes": 157843,
    "path": "pi-session.jsonl",
    "sha256": "f79edebd9ef8415e56fc795ad28fa5735d23b2b16743386942d50cb81bc01108"
  },
  "product": "Milvus Lite",
  "product_version": "v3.0.x",
  "protocol_version": 4,
  "provenance": {
    "duration_seconds": 235.752,
    "host_machine": "x86_64",
    "host_system": "Linux",
    "isolation": "bubblewrap",
    "model": "openai-codex/gpt-5.6-luna",
    "path": "provenance.json",
    "pi_version": "0.78.0",
    "python": "3.12",
    "started_at": "2026-08-28T23:29:45.738134+00:00",
    "thinking": "high"
  },
  "runner_exit": 1,
  "schema_version": 1,
  "session_log": {
    "bytes": 99803,
    "path": "session-log.json",
    "sha256": "91172e356efe81aa1cff593e05322cd5b0691df96efbd5fd75b143f1a8499497"
  },
  "session_totals": {
    "cache_read": 248832,
    "cache_write": 0,
    "cost_usd": 0.478666,
    "input": 45098,
    "output": 4292,
    "tool_calls": 18,
    "total": 298222
  },
  "source_document": {
    "document": {
      "bytes": 13820,
      "path": "quickstart.md",
      "sha256": "66a8cdc4cc2fa430a6fba727d5ed0e2fb1d941d73be59bba41c2f009dbe00ff3"
    },
    "fetched_at": "2026-08-28T23:13:59.336686+00:00",
    "product": "Milvus Lite",
    "schema_version": 1,
    "source_commit": "96bd8eb9ea9d692ed7236ad15f84ac46b8a27c0d",
    "source_url": "https://raw.githubusercontent.com/milvus-io/milvus-docs/96bd8eb9ea9d692ed7236ad15f84ac46b8a27c0d/site/en/getstarted/quickstart.md",
    "subject": "milvus",
    "version": "v3.0.x"
  },
  "subject": "milvus",
  "trial": "trial-01",
  "verification": {
    "checks": {
      "execution": true,
      "expected_entity": true,
      "implementation_script": true,
      "positive_results": true,
      "search_output": true
    },
    "evaluation_revision": 2,
    "output": "Using embedding model (dimension 768)\nInserted 3 entities\nFIRST_SEARCH_RESULTS: data: [[{'id': 2, 'distance': 0.5859946012496948, 'entity': {'id': 2, 'text': 'Born in Maida Vale, London, Turing was raised in southern England.', 'subject': 'history'}}, {'id': 1, 'distance': 0.5118256211280823, 'entity': {'id': 1, 'text': 'Alan Turing was the first person to conduct substantial research in AI.', 'subject': 'history'}}]]\nFILTERED_RESULTS: data: [[{'id': 4, 'distance': 0.2703056335449219, 'entity': {'id': 4, 'text': 'Computational synthesis with AI algorithms predicts molecular properties.', 'subject': 'biology'}}, {'id': 3, 'distance': 0.16425907611846924, 'entity': {'id': 3, 'text': 'Machine learning has been used for drug design.', 'subject': 'biology'}}]]\nHISTORY_COUNT: 3\nIDS: [0, 2]\nQuickstart completed successfully\nNone of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.\n",
    "passed": true,
    "superseded_checks": {
      "execution": true,
      "expected_entity": true,
      "implementation_script": true,
      "positive_results": false,
      "search_output": false
    }
  }
}