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            "sdkVersion": "0.3.1",
            "sdkArchiveSha256": "a9994a09be640e441830472384e162ed3222f1d7d525af131f63392cf1fd9a9f",
            "runtime": "@huggingface/transformers@4.3.0",
            "model": "Xenova/all-MiniLM-L6-v2",
            "revision": "751bff37182d3f1213fa05d7196b954e230abad9",
            "encoderId": "minilm-l6-v2@751bff37182d3f1213fa05d7196b954e230abad9:q8:mean:l2:max256:transformers4.3.0",
            "indexVersion": "banking77-minilm-q8-32-v1",
            "indexSha256": "970cd75ccfdfbadaecd4b9df2fa07bcaf8bad225013cd154c612294dbe3d7ec1",
            "indexUrl": "https://usememcat.vercel.app/models/banking77.index.json"
          },
          "scope": "Index validation and encoder initialization. Model assets may be downloaded or read from disk cache. No inference warmup; first query may include first-inference overhead.",
          "deadline": "120-second asset-fetch abort signal. Native initialization cannot be forcibly interrupted; cancellation is checked before and after it."
        },
        "query": {
          "number": 4,
          "firstInference": false,
          "elapsedMs": 2.0836669999999913,
          "scope": "Token validation, local q8 inference and SDK classification. Excludes setup, report serialization and CLI work; no input-result cache."
        },
        "result": {
          "candidate": "card_arrival",
          "runnerUp": "lost_or_stolen_card",
          "score": 0.8330348278746154,
          "margin": 0.04298974807115952,
          "matchedExample": {
            "category": "card_arrival",
            "index": 24
          },
          "scoreKind": "cosine_similarity",
          "version": "banking77-minilm-q8-32-v1",
          "encoderId": "minilm-l6-v2@751bff37182d3f1213fa05d7196b954e230abad9:q8:mean:l2:max256:transformers4.3.0",
          "elapsedMs": 1.967916999999943,
          "status": "review",
          "category": null,
          "reason": "ambiguous"
        },
        "usage": {
          "classificationApiCalls": 0,
          "providerClassificationCostUsd": 0,
          "totalComputeCostUsd": null
        }
      }
    ],
    "commandElapsedMs": 658.094125,
    "scope": "Actual SDK evaluation after explicit setup. First query may include first-inference overhead. Provider usage and total compute cost remain unknown in evaluation; no fallback model ran. Authored examples are functional checks, not held-out accuracy evidence."
  },
  "network": {
    "name": "network audit",
    "requests": [
      {
        "origin": "https://usememcat.vercel.app",
        "path": "/models/banking77.index.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/config.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/tokenizer_config.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/config.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/tokenizer.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/tokenizer_config.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/onnx/model_quantized.onnx",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/tokenizer_config.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/tokenizer_config.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      },
      {
        "origin": "https://huggingface.co",
        "path": "/Xenova/all-MiniLM-L6-v2/resolve/751bff37182d3f1213fa05d7196b954e230abad9/tokenizer_config.json",
        "method": "GET",
        "hasBody": false,
        "hasQuery": false
      }
    ],
    "scope": "Global fetch calls observed during install-free runtime. URLs omit query values; requests use GET without bodies. Asset fetches exist; inference is local. Native runtime traffic outside fetch is not instrumented."
  },
  "scope": "Internal fresh-install check, not an unaffiliated developer trial or new held-out accuracy evaluation. No provider keys, billable classification or claimed customer savings.",
  "limitations": [
    "Single internal machine, Node22 on Apple silicon; this is not an unaffiliated usability trial or a platform compatibility matrix.",
    "Four authored examples verify execution. The original held-out benchmark remains unchanged; these are not additional independent accuracy observations.",
    "Cold setup includes asset downloads on this connection. npm install timing excludes downloading/extracting this small starter archive.",
    "Query text was not sent in observed fetch requests; the audit sees global fetch, not arbitrary native runtime traffic.",
    "No hosted classifier or fallback ran; total local compute cost and customer savings are unmeasured."
  ],
  "iteration": "Starter0.1.1 pins SDK0.3.1, whose shadow example now reports the exact failing request ID. Classifier/evaluator/model/index/thresholds unchanged. This receipt is a fresh isolated install of the published SDK patch; it is not a new accuracy benchmark."
}
