{
  "schemaVersion": 1,
  "lessonId": "deployment-06",
  "contentHash": "c543e431adadcd9167421861846fa832f48eb681f9d3d667ca20bec9ea696264",
  "executedAt": "2026-10-20T10:50:45.293154+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "{\n  \"runtime\": \"JAX CPU instructional proxy\",\n  \"jax\": \"0.9.2\",\n  \"first_request_ms\": 11.448000092059374,\n  \"warm_samples_ms\": [\n    0.15420792624354362,\n    0.059125013649463654,\n    0.04437519237399101,\n    0.03974977880716324,\n    0.037208665162324905,\n    0.03679096698760986,\n    0.033999793231487274,\n    0.03370875492691994,\n    0.032040756195783615,\n    0.032833777368068695,\n    0.03237510100007057,\n    0.030708033591508865,\n    0.030125025659799576,\n    0.029750168323516846,\n    0.03154110163450241,\n    0.029833056032657623,\n    0.029833056032657623,\n    0.029582995921373367,\n    0.028749927878379822,\n    0.032541342079639435,\n    0.029374845325946808,\n    0.029250048100948334,\n    0.02966681495308876,\n    0.0462094321846962,\n    0.029208138585090637,\n    0.029792077839374542,\n    0.02904096618294716,\n    0.028999987989664078,\n    0.02895807847380638,\n    0.02816738560795784\n  ],\n  \"p50_ms\": 0.03041652962565422,\n  \"p95_ms\": 0.053313001990318264,\n  \"boundary\": \"JSON decode + normalize + transfer + infer + wait + encode\",\n  \"edge_device_validated\": false\n}\n{\n  \"runtime\": \"JAX CPU instructional proxy\",\n  \"jax\": \"0.9.2\",\n  \"first_request_ms\": 9.076584130525589,\n  \"warm_samples_ms\": [\n    0.13345805928111076,\n    0.06820773705840111,\n    0.06900029256939888,\n    0.042415689677000046,\n    0.035208649933338165,\n    0.032833777368068695,\n    0.031082890927791595,\n    0.03233412280678749,\n    0.02950010821223259,\n    0.02941582351922989,\n    0.03008311614394188,\n    0.028708018362522125,\n    0.028458889573812485,\n    0.028749927878379822,\n    0.028332695364952087,\n    0.028125010430812836,\n    0.028582755476236343,\n    0.02837507054209709,\n    0.028625130653381348,\n    0.028499867767095566,\n    0.029124785214662552,\n    0.028209295123815536,\n    0.02845795825123787,\n    0.027582980692386627,\n    0.03120768815279007,\n    0.028708018362522125,\n    0.027917325496673584,\n    0.027833040803670883,\n    0.028125010430812836,\n    0.028541311621665955\n  ],\n  \"p50_ms\": 0.028708018362522125,\n  \"p95_ms\": 0.06864364258944988,\n  \"boundary\": \"JSON decode + normalize + transfer + infer + wait + encode\",\n  \"edge_device_validated\": false\n}\nPreprocessing mismatch max error 380.5019836425781\nSeven malformed or out-of-domain requests rejected; zero input returns the bias.\nChanged end-to-end request verified\nNot device-validated; missing: device, runtime_version, delegate, quality_metric, p95_ms, peak_memory_bytes, cold_start_ms, fallback_operators\nIllustrative request before/after/lower-bound (ms): 24.0 20.0 16.0\nPASS: deployment-06\n",
  "notebookCells": [
    {
      "sourceHash": "cf203671321b8b41979ddb66477bead793ef5d30ce2e126b94e75f022a37dbb8",
      "outputs": []
    },
    {
      "sourceHash": "782f5b39bf3e1c27b89e48e41c2ab3c1b07f589ad52f6938be9a28ca230769ee",
      "outputs": []
    },
    {
      "sourceHash": "2f71ae5af08389a1d3620e8e5f0a8541728dcdb33f9194783637b2a370bcea33",
      "outputs": []
    },
    {
      "sourceHash": "d1dd4e0cce4342b80079c51bb7c5f76db84358646742727bafcfcfbcbecf33f6",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{\n",
            "  \"runtime\": \"JAX CPU instructional proxy\",\n",
            "  \"jax\": \"0.9.2\",\n",
            "  \"first_request_ms\": 12.274208012968302,\n",
            "  \"warm_samples_ms\": [\n",
            "    0.15254179015755653,\n",
            "    0.06270920857787132,\n",
            "    0.04729209467768669,\n",
            "    0.04204222932457924,\n",
            "    0.04216702654957771,\n",
            "    0.041082967072725296,\n",
            "    0.035416800528764725,\n",
            "    0.03454182296991348,\n",
            "    0.034125056117773056,\n",
            "    0.033624935895204544,\n",
            "    0.03637513145804405,\n",
            "    0.03262516111135483,\n",
            "    0.03170827403664589,\n",
            "    0.03141583874821663,\n",
            "    0.0310409814119339,\n",
            "    0.03379117697477341,\n",
            "    0.031083356589078903,\n",
            "    0.031082890927791595,\n",
            "    0.04008365795016289,\n",
            "    0.035291071981191635,\n",
            "    0.035665929317474365,\n",
            "    0.033082906156778336,\n",
            "    0.030708033591508865,\n",
            "    0.030874740332365036,\n",
            "    0.030500348657369614,\n",
            "    0.03116624429821968,\n",
            "    0.032333191484212875,\n",
            "    0.0310409814119339,\n",
            "    0.030166003853082657,\n",
            "    0.029833056032657623\n",
            "  ],\n",
            "  \"p50_ms\": 0.03335392102599144,\n",
            "  \"p95_ms\": 0.0557715073227882,\n",
            "  \"boundary\": \"JSON decode + normalize + transfer + infer + wait + encode\",\n",
            "  \"edge_device_validated\": false\n",
            "}\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "4d61b012e06d57299b6d7e44c68201da15d99fef6cc42992e026ddf6269840a5",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{\n",
            "  \"runtime\": \"JAX CPU instructional proxy\",\n",
            "  \"jax\": \"0.9.2\",\n",
            "  \"first_request_ms\": 10.247000027447939,\n",
            "  \"warm_samples_ms\": [\n",
            "    0.11404231190681458,\n",
            "    0.04920782521367073,\n",
            "    0.039665959775447845,\n",
            "    0.03729062154889107,\n",
            "    0.03808317705988884,\n",
            "    0.03441702574491501,\n",
            "    0.03516580909490585,\n",
            "    0.031124800443649292,\n",
            "    0.030250288546085358,\n",
            "    0.031042378395795822,\n",
            "    0.030582770705223083,\n",
            "    0.029957853257656097,\n",
            "    0.12070918455719948,\n",
            "    0.059999991208314896,\n",
            "    0.04483293741941452,\n",
            "    0.03979122266173363,\n",
            "    0.040667131543159485,\n",
            "    0.03583403304219246,\n",
            "    0.03516627475619316,\n",
            "    0.03258418291807175,\n",
            "    0.032125040888786316,\n",
            "    0.03133341670036316,\n",
            "    0.031165778636932373,\n",
            "    0.03091711550951004,\n",
            "    0.03133388236165047,\n",
            "    0.03062468022108078,\n",
            "    0.030250288546085358,\n",
            "    0.029750168323516846,\n",
            "    0.02970779314637184,\n",
            "    0.029749702662229538\n",
            "  ],\n",
            "  \"p50_ms\": 0.03235461190342903,\n",
            "  \"p95_ms\": 0.08972326759248957,\n",
            "  \"boundary\": \"JSON decode + normalize + transfer + infer + wait + encode\",\n",
            "  \"edge_device_validated\": false\n",
            "}\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "3980aa1efd95215ebaddabea72e89877e876babcfd3479ac725dc72d2ebe1b02",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "6327f7055b59679bc8064a94d207943e2fec15da62232fb62cb04ba4213a3289",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Preprocessing mismatch max error 380.5019836425781\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "5ee5ac4f727d4459f0b5aac0c7d867b4790bf730e16c6153c5f613f78fab7fda",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Seven malformed or out-of-domain requests rejected; zero input returns the bias.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "46c667cfe5330ffe2c54b0585ece3eb08ceb94dea1d5962a74b92664229a8c81",
      "outputs": []
    },
    {
      "sourceHash": "2d2ed75808b5958126b58d9887fc2260065004a5d0b9962f4e8596db8e52acab",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Changed end-to-end request verified\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "b9fc29d0306c1903f0f1a544b80378bca7b4d58750da33888ff46e5f169cf617",
      "outputs": []
    },
    {
      "sourceHash": "ab3133386682a140f351836c905ef749108484347aaf808c9e6edbd03e0d91b6",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Not device-validated; missing: device, runtime_version, delegate, quality_metric, p95_ms, peak_memory_bytes, cold_start_ms, fallback_operators\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "cd34423ba62621e50415cf86491b3cdbd8ed6d9e8ece0825677639933a5b20fa",
      "outputs": []
    },
    {
      "sourceHash": "228a3c529b8165326a00a48fc78c6c94f3e4f297cf8a66e3f521c0d365ac0015",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Illustrative request before/after/lower-bound (ms): 24.0 20.0 16.0\n"
          ]
        }
      ]
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}
