{
  "schema_version": 1,
  "captured_at": "2026-09-22",
  "provenance": {
    "runtime": "Python 3.12.14 on Windows",
    "scope": "Original public source executed with synthetic fixtures. No online model, broker, or workplace integrations were called. Outputs below are saved replays, not live requests.",
    "repositories": {
      "echofind": {
        "commit": "8b5a3ab9ecbc491ca290979eeeb2112c2de8c62f",
        "readme": "https://github.com/akira231097/echofind/blob/8b5a3ab9ecbc491ca290979eeeb2112c2de8c62f/README.md"
      },
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        "readme": "https://github.com/akira231097/clipopedia/blob/b2cc9d85c38117f5787dc364446f3d6bd500ce71/README.md"
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    }
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      "tests_passed": 34,
      "mode": "Original pytest suite; unmodified",
      "corpus_clips": 14,
      "labeled_queries": 14,
      "hit_at_1": 0.929,
      "hit_at_3": 1.0,
      "recall_at_5": 1.0,
      "mrr": 0.964,
      "selection_accuracy": 0.929,
      "latency_samples": 350,
      "latency_ms": {
        "p50": 1.79,
        "p95": 4.31,
        "p99": 7.79
      },
      "scope": "Deterministic hash embedder, Jaccard reranker and rule-based LLM over fictional clips. These are not production accuracy or latency measurements."
    },
    "commitment": {
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      "mode": "Original pytest suite; unmodified",
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    "reelforge": {
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      "mode": "Original unittest suite; unmodified",
      "scope": "Tests cover ingest, transcript parsing, caption/domain models. No reel was generated and no audiovisual quality was measured."
    },
    "artha": {
      "tests_passed": 29,
      "mode": "Original execution/contract tests with external Windows garbage-collection cleanup wrapper",
      "caveat": "Direct run reached test assertions but 20 test teardowns failed with SQLite file-lock errors. Re-running with gc.collect() before each existing teardown passed all 29; source and assertions were unchanged. This is a focused suite, not all repository tests."
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      "memory_update_ms": {
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      "caveat": "Service-import side effects were bypassed by registering the engine package namespace. Original memory.py, schemas.py, sample and benchmark ran unchanged. Sample scripts are demonstrations, not assertion-based test counts. No live retrieval quality or end-to-end latency was measured."
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      "selection_reason": "Top-ranked clip; best lexical and semantic match for the request.",
      "candidates": [
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        "word": "system",
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        "word": "you",
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        "word": "trust,",
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      },
      {
        "word": "repeat",
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        "word": "it",
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      {
        "word": "daily,",
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      },
      {
        "word": "and",
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      {
        "word": "let",
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      },
      {
        "word": "small",
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      {
        "word": "wins",
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      },
      {
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      {
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      },
      {
        "word": "something",
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      },
      {
        "word": "remarkable.",
        "start_time": 20.29,
        "end_time": 20.92
      }
    ]
  },
  "commitment_transcript": "Maya: I will rewrite the onboarding email copy by Friday.\nNoah: We should probably improve the dashboard someday.\nAva: I can handle the API rate limit issue today.\nMaya: I already fixed the broken signup link yesterday.\nLiam: Let me investigate why search is returning stale records.\n"
}