feat: appove and go

.specify/archive/model-preflight/20260718/goal-model-preflight-before-local-timeout-fix.json

@@ -0,0 +1,18 @@
+{
+  "1b5426346e8198bc61cf8e5620be210895680af6e1cdb82bba8694c7f0da2ef9": {
+    "model": "openai-compatible:auto/coding",
+    "provider": "omniroute",
+    "healthy": false,
+    "reason": "model_exit_2:MODEL_ROUTER_ERROR backend_unreachable HTTPError: HTTP Error 503: Service Unavailable",
+    "checked_at": "2026-07-18T15:24:11Z",
+    "checked_epoch": 1784388251.1839528
+  },
+  "0a4a9b1f8e1ff0908e2861bbbdf3dd4b99ac381a8749c94baed4930a3ca11292": {
+    "model": "ollama:ornith:9b",
+    "provider": "ollama",
+    "healthy": false,
+    "reason": "model_timeout",
+    "checked_at": "2026-07-18T15:24:41Z",
+    "checked_epoch": 1784388281.2238398
+  }
+}

.specify/cache/goal-model-preflight.json

@@ -0,0 +1,130 @@
+{
+  "1b5426346e8198bc61cf8e5620be210895680af6e1cdb82bba8694c7f0da2ef9": {
+    "model": "openai-compatible:auto/coding",
+    "provider": "omniroute",
+    "healthy": false,
+    "reason": "model_timeout",
+    "checked_at": "2026-07-18T16:20:54Z",
+    "checked_epoch": 1784391654.9303336
+  },
+  "0a4a9b1f8e1ff0908e2861bbbdf3dd4b99ac381a8749c94baed4930a3ca11292": {
+    "model": "ollama:ornith:9b",
+    "provider": "ollama",
+    "healthy": true,
+    "reason": "ok",
+    "checked_at": "2026-07-18T15:27:33Z",
+    "checked_epoch": 1784388453.7658935
+  },
+  "2ad50792d2c887dd74476a96e22a2127536692a58e6045e1e3941a9fa79a5df9": {
+    "model": "account:codex",
+    "provider": "codex-account",
+    "healthy": true,
+    "reason": "ok",
+    "checked_at": "2026-07-18T15:38:46Z",
+    "checked_epoch": 1784389126.023104
+  },
+  "501c7fb832612cef3360ddd8a02b80c0a656b75353a6706cab6c1ce54bde11ea": {
+    "model": "openai:gpt-5.3-codex",
+    "provider": "openai",
+    "healthy": true,
+    "reason": "ok",
+    "checked_at": "2026-07-18T16:14:15Z",
+    "checked_epoch": 1784391255.5425012
+  },
+  "f535de9122c693a1ec0b67cd9248e0e0cf50d02689a7885863ddd2fcb9dac4a2": {
+    "model": "openai:gpt-5.3-codex",
+    "provider": "openai",
+    "healthy": false,
+    "reason": "goal_patch_missing",
+    "checked_at": "2026-07-18T16:21:52Z",
+    "checked_epoch": 1784391712.3473551
+  },
+  "fd0849f02e64d143f68870f7f09f8e9054c97efdb32970dc498ba6aa421c25cc": {
+    "model": "openai-compatible:aug/claude-haiku-4.5",
+    "provider": "omniroute",
+    "healthy": false,
+    "reason": "model_exit_2:MODEL_ROUTER_ERROR backend_unreachable HTTPError: HTTP Error 502: Bad Gateway",
+    "checked_at": "2026-07-18T16:20:55Z",
+    "checked_epoch": 1784391655.048939
+  },
+  "20ed5fb7e077c5de0c1e22b8b09c9ded068ff9b920ffbad5aee205a2f7a4ced7": {
+    "model": "openai-compatible:aug/claude-opus-4.6",
+    "provider": "omniroute",
+    "healthy": false,
+    "reason": "model_exit_2:MODEL_ROUTER_ERROR backend_unreachable HTTPError: HTTP Error 502: Bad Gateway",
+    "checked_at": "2026-07-18T16:20:55Z",
+    "checked_epoch": 1784391655.140041
+  },
+  "5d7bac5e696c4d1433d3c138fd1c310a811f496ba15b58c61bd2ed81d1a4f3ad": {
+    "model": "openai-compatible:aug/claude-sonnet-4.6",
+    "provider": "omniroute",
+    "healthy": false,
+    "reason": "model_exit_2:MODEL_ROUTER_ERROR backend_unreachable HTTPError: HTTP Error 502: Bad Gateway",
+    "checked_at": "2026-07-18T16:20:55Z",
+    "checked_epoch": 1784391655.2397785
+  },
+  "e46af2703f62053be4e77849225ca03c3f029da9ec91aaea78f6e0726a3dea2d": {
+    "model": "openai-compatible:aug/claude-sonnet-4.6-thinking",
+    "provider": "omniroute",
+    "healthy": false,
+    "reason": "model_exit_2:MODEL_ROUTER_ERROR backend_unreachable HTTPError: HTTP Error 502: Bad Gateway",
+    "checked_at": "2026-07-18T16:20:55Z",
+    "checked_epoch": 1784391655.3297153
+  },
+  "8ec1da73f4fcbc754b93a7ad534b34308dbb3b2235a75c6a787070fd332cfa73": {
+    "model": "openai-compatible:gateway",
+    "provider": "omniroute",
+    "healthy": false,
+    "reason": "patch_probe_contract_invalid",
+    "checked_at": "2026-07-18T16:21:52Z",
+    "checked_epoch": 1784391712.3490422
+  },
+  "44f183c901766758ddbb222f6e1f5559c243219bc7077e787bedc71c8e58b636": {
+    "model": "ollama:ornith",
+    "provider": "ollama",
+    "healthy": false,
+    "reason": "goal_patch_missing",
+    "checked_at": "2026-07-18T16:21:52Z",
+    "checked_epoch": 1784391712.3524656
+  },
+  "b208348d5436485a8663538b70956752f3497e841af640e25cf107749c5afcc0": {
+    "model": "ollama:test",
+    "provider": "ollama",
+    "healthy": false,
+    "reason": "patch_probe_contract_invalid",
+    "checked_at": "2026-07-18T16:21:52Z",
+    "checked_epoch": 1784391712.3621576
+  },
+  "e815d3eac7f27a62a4a217e49c28d456ca789b3a1003f188a788985de068da88": {
+    "model": "openai:gpt-4o-mini",
+    "provider": "openai",
+    "healthy": false,
+    "reason": "patch_probe_contract_invalid",
+    "checked_at": "2026-07-18T16:21:52Z",
+    "checked_epoch": 1784391712.367114
+  },
+  "6352a8a41a3ebdd2c9d4c724515838d01993983082d8645025938fd452890d87": {
+    "model": "openai:gpt-4.1",
+    "provider": "openai",
+    "healthy": false,
+    "reason": "goal_patch_missing",
+    "checked_at": "2026-07-18T16:21:52Z",
+    "checked_epoch": 1784391712.3708255
+  },
+  "a23aea560f9ebee7ff805d1e4583db4b0e78363095431f0a91a09efa37cff145": {
+    "model": "openai-compatible:aug/claude-sonnet",
+    "provider": "omniroute",
+    "healthy": false,
+    "reason": "patch_probe_contract_invalid",
+    "checked_at": "2026-07-18T16:21:52Z",
+    "checked_epoch": 1784391712.3722892
+  },
+  "ce2b1288eeea460eb7c9e01576e04cd30f8ffe2b9a88fe6e59ee527b55ae140e": {
+    "model": "ollama:worker",
+    "provider": "ollama",
+    "healthy": false,
+    "reason": "patch_probe_contract_invalid",
+    "checked_at": "2026-07-18T16:21:52Z",
+    "checked_epoch": 1784391712.5912051
+  }
+}

.specify/logs/audit/security.jsonl

@@ -371,3 +371,161 @@
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 {"timestamp":"2026-07-18T08:39:55Z","trace_id":"e89746ee-9afa-44b2-bd90-85db0e37731f","harness":"H4-security","mode":"input","status":"blocked","action":"block","risk_level":"high","input_hash":"0aa7555c68e218490b78edd7f665f8dd5d56405720ec6cb4c7be2b34e2baabfa","output_hash":"607dab11dbd23786974b6b2f64daafa2078743f837c722d2f409dad2fbd2adef"}
 {"timestamp":"2026-07-18T08:39:57Z","trace_id":"36ec47ff-04f9-41e0-94d9-862a380549ea","harness":"H4-security","mode":"output","status":"blocked","action":"block","risk_level":"high","input_hash":"0aa7555c68e218490b78edd7f665f8dd5d56405720ec6cb4c7be2b34e2baabfa","output_hash":"607dab11dbd23786974b6b2f64daafa2078743f837c722d2f409dad2fbd2adef"}
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.specify/logs/cost/metrics.jsonl

@@ -56,3 +56,8 @@
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.specify/logs/level5/provider-usage.jsonl

@@ -55,3 +55,41 @@
 {"timestamp": "2026-07-11T08:23:30Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 2448, "output_tokens": 1400, "total_tokens": 3848, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 94149, "status": "success"}
 {"timestamp": "2026-07-18T08:37:10Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "04-reviewspec", "role": "judge", "input_tokens": 546, "output_tokens": 3, "total_tokens": 549, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 9200, "usage_available": true, "status": "success"}
 {"timestamp": "2026-07-18T08:39:16Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "13-reviewcode", "role": "judge", "input_tokens": 585, "output_tokens": 3, "total_tokens": 588, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 3086, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T10:09:59Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 3666, "output_tokens": 298, "total_tokens": 3964, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 40271, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T10:11:32Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 3746, "output_tokens": 1307, "total_tokens": 5053, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 91828, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T11:18:39Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 2970, "output_tokens": 709, "total_tokens": 3679, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 61918, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T11:20:19Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 3467, "output_tokens": 1400, "total_tokens": 4867, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 99087, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T11:39:41Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 8536, "output_tokens": 1400, "total_tokens": 9936, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 121958, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T11:40:29Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 9657, "output_tokens": 92, "total_tokens": 9749, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 47278, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T12:20:41Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 8536, "output_tokens": 181, "total_tokens": 8717, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 63284, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T14:20:43Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 8667, "output_tokens": 116, "total_tokens": 8783, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 58521, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T14:21:34Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 8812, "output_tokens": 62, "total_tokens": 8874, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 51545, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T14:28:58Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 2731, "output_tokens": 1400, "total_tokens": 4131, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 88380, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T14:31:28Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 3943, "output_tokens": 1400, "total_tokens": 5343, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 102649, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T15:09:12Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 8848, "output_tokens": 1070, "total_tokens": 9918, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 98948, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T15:14:16Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 9891, "output_tokens": 2469, "total_tokens": 12360, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 183220, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T15:20:37Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 112, "output_tokens": 121, "total_tokens": 233, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 24747, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T15:27:33Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 117, "output_tokens": 211, "total_tokens": 328, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 37080, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T15:42:52Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 55, "output_tokens": 44, "total_tokens": 99, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 2080, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T15:43:04Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 7398, "output_tokens": 1869, "total_tokens": 9267, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 11582, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T15:43:14Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 6519, "output_tokens": 1400, "total_tokens": 7919, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 9500, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T15:47:05Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 55, "output_tokens": 58, "total_tokens": 113, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 1958, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:01:51Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 55, "output_tokens": 61, "total_tokens": 116, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 1969, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:02:02Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 5220, "output_tokens": 1737, "total_tokens": 6957, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 10775, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:02:12Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 7079, "output_tokens": 1587, "total_tokens": 8666, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 10218, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:02:21Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 6929, "output_tokens": 1587, "total_tokens": 8516, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 9335, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:02:31Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 6929, "output_tokens": 1626, "total_tokens": 8555, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 9741, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:14:15Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 55, "output_tokens": 58, "total_tokens": 113, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 1837, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:14:27Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 5220, "output_tokens": 2013, "total_tokens": 7233, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 12235, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:14:42Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 7374, "output_tokens": 2416, "total_tokens": 9790, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 14349, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:20:24Z", "harness": "L5-provider-telemetry", "provider": "openai", "model": "gpt-5.3-codex", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 5220, "output_tokens": 1494, "total_tokens": 6714, "cost_usd": 0.0, "cost_source": "openai_api_real_tokens", "latency_ms": 10422, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:31:43Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "classify", "role": "classify", "input_tokens": 216, "output_tokens": 2, "total_tokens": 218, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 6521, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:32:09Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 579, "output_tokens": 254, "total_tokens": 833, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 24956, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:32:10Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "classify", "role": "classify", "input_tokens": 216, "output_tokens": 2, "total_tokens": 218, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 611, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:32:44Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 579, "output_tokens": 368, "total_tokens": 947, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 33412, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:32:46Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "classify", "role": "classify", "input_tokens": 216, "output_tokens": 2, "total_tokens": 218, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 2137, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:33:14Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 666, "output_tokens": 266, "total_tokens": 932, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 27139, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:33:17Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "classify", "role": "classify", "input_tokens": 216, "output_tokens": 2, "total_tokens": 218, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 2214, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:33:44Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 579, "output_tokens": 286, "total_tokens": 865, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 26962, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:33:49Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "classify", "role": "classify", "input_tokens": 216, "output_tokens": 2, "total_tokens": 218, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 2130, "usage_available": true, "status": "success"}
+{"timestamp": "2026-07-18T16:34:15Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "generate", "role": "generate", "input_tokens": 579, "output_tokens": 267, "total_tokens": 846, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 25684, "usage_available": true, "status": "success"}

Dockerfile.control-panel-api

@@ -6,8 +6,11 @@ RUN apt-get update -qq && apt-get install -y -qq python3 python-is-python3 curl
 
 COPY package.json package-lock.json ./
 COPY packages/casan-control-panel/backend/package.json ./packages/casan-control-panel/backend/
+COPY packages/casan-control-panel/frontend/package.json ./packages/casan-control-panel/frontend/
+COPY apps/okr/backend/package.json ./apps/okr/backend/
+COPY apps/okr/frontend/package.json ./apps/okr/frontend/
 
-RUN npm ci -w @casan/control-panel-backend
+RUN npm ci
 
 COPY packages/casan-control-panel/backend ./packages/casan-control-panel/backend
 
@@ -21,12 +24,14 @@ RUN apt-get update -qq && apt-get install -y -qq python3 python-is-python3 curl
 
 COPY package.json package-lock.json ./
 COPY packages/casan-control-panel/backend/package.json ./packages/casan-control-panel/backend/
+COPY packages/casan-control-panel/frontend/package.json ./packages/casan-control-panel/frontend/
 COPY --from=builder /app/node_modules ./node_modules
 COPY --from=builder /app/packages/casan-control-panel/backend/dist ./packages/casan-control-panel/backend/dist
 COPY packages/casan-harness/scripts ./packages/casan-harness/scripts
 COPY packages/casan-harness/config ./packages/casan-harness/config
 COPY packages/casan-harness/security ./packages/casan-harness/security
 COPY packages/casan-harness/level5/project-registry.json ./packages/casan-harness/level5/project-registry.json
+COPY packages/casan-devkit ./packages/casan-devkit
 
 # Read-only, build-time workspace snapshots. Goal orchestration resolves only roots
 # registered in project-registry.json and never accepts a browser-supplied path.

apps/okr/backend/src/key-results/key-results.service.ts

@@ -70,9 +70,9 @@ export class KeyResultsService {
           createdById: user.sub,
         },
       });
+      await this.recalculateObjectiveStatus(existing.objectiveId, tx);
       return keyResult;
     });
-    await this.recalculateObjectiveStatus(existing.objectiveId);
     return updated;
   }
 
@@ -88,14 +88,17 @@ export class KeyResultsService {
     }
   }
 
-  private async recalculateObjectiveStatus(objectiveId: number): Promise<void> {
+  private async recalculateObjectiveStatus(
-    const keyResults = await this.prisma.keyResult.findMany({ where: { objectiveId } });
+    objectiveId: number,
+    tx: Prisma.TransactionClient = this.prisma,
+  ): Promise<void> {
+    const keyResults = await tx.keyResult.findMany({ where: { objectiveId } });
     const average =
       keyResults.length === 0
         ? 0
         : Math.round(keyResults.reduce((total, keyResult) => total + keyResult.progress, 0) / keyResults.length);
     const status =
       average === 0 ? 'NOT_STARTED' : average >= 100 ? 'COMPLETED' : 'IN_PROGRESS';
-    await this.prisma.objective.update({ where: { id: objectiveId }, data: { status } });
+    await tx.objective.update({ where: { id: objectiveId }, data: { status } });
   }
 }

apps/okr/backend/test/services.test.ts

@@ -312,6 +312,41 @@ test('KeyResultsService.updateProgress non-existent KR throws NotFoundException'
   }
 });
 
+test('KeyResultsService.updateProgress rolls back progress when status recalculation fails', async () => {
+  const prisma = new PrismaService();
+  await prisma.$connect();
+  const service = new KeyResultsService(prisma);
+  const testable = service as unknown as {
+    recalculateObjectiveStatus: (objectiveId: number) => Promise<void>;
+  };
+  const recalculateObjectiveStatus = testable.recalculateObjectiveStatus.bind(service);
+  let beforeProgress = 0;
+  try {
+    const before = await prisma.keyResult.findUniqueOrThrow({ where: { id: 1 } });
+    beforeProgress = before.progress;
+    testable.recalculateObjectiveStatus = async () => {
+      throw new Error('forced status recalculation failure');
+    };
+
+    await assert.rejects(
+      () => service.updateProgress(1, { progress: 99, comment: 'must roll back' }, employeeUser),
+      /forced status recalculation failure/,
+    );
+
+    const after = await prisma.keyResult.findUniqueOrThrow({ where: { id: 1 } });
+    assert.equal(after.progress, beforeProgress);
+    const leakedHistory = await prisma.progressUpdate.findMany({
+      where: { keyResultId: 1, progress: 99, comment: 'must roll back' },
+    });
+    assert.equal(leakedHistory.length, 0);
+  } finally {
+    testable.recalculateObjectiveStatus = recalculateObjectiveStatus;
+    await prisma.keyResult.update({ where: { id: 1 }, data: { progress: beforeProgress } });
+    await prisma.progressUpdate.deleteMany({ where: { keyResultId: 1, comment: 'must roll back' } });
+    await prisma.$disconnect();
+  }
+});
+
 // ─── Status recalculation (full NOT_STARTED → IN_PROGRESS → COMPLETED cycle) ─
 
 test('KeyResultsService status recalculation: NOT_STARTED → IN_PROGRESS → COMPLETED → IN_PROGRESS', async () => {

docker-compose.control-panel.local.yml

@@ -34,6 +34,13 @@ services:
       ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY:-}
       CASAN_GOAL_OPENAI_MODEL: ${CASAN_GOAL_OPENAI_MODEL:-gpt-5.3-codex}
       CASAN_GOAL_ANTHROPIC_MODEL: ${CASAN_GOAL_ANTHROPIC_MODEL:-claude-3-5-sonnet-latest}
+      CASAN_GOAL_ENABLE_GATEWAY_PATCH_REPAIR: "1"
+      CASAN_GOAL_LOCAL_TIMEOUT_SEC: "600"
+      CASAN_GOAL_MODEL_TIMEOUT: "600"
+      CASAN_GOAL_MODEL_PREFLIGHT: "1"
+      CASAN_GOAL_MODEL_PREFLIGHT_TIMEOUT_SEC: "30"
+      CASAN_GOAL_LOCAL_MODEL_PREFLIGHT_TIMEOUT_SEC: "90"
+      CASAN_GOAL_MODEL_PREFLIGHT_TTL_SEC: "600"
       CASAN_PREFLIGHT: ${CASAN_PREFLIGHT:-0}
       CASAN_AUTH_BRIDGE_URL: http://host.docker.internal:20130
       CASAN_AUTH_BRIDGE_TOKEN: ${CASAN_AUTH_BRIDGE_TOKEN:-}
@@ -47,8 +54,15 @@ services:
       CASAN_APPROVAL_SIGNER_ROLE: ops
       CASAN_IDP_JWKS_URL: http://idp:8080/.well-known/jwks.json
     volumes:
+      # Persist only governed state and registered project roots. Dependencies
+      # stay inside the Linux image, avoiding host/container native-binary drift.
       - ./.specify:/app/.specify
-      - ./docs/output:/app/docs/output:ro
+      - ./docs/output:/app/docs/output
+      - ./docs/technical_architecture.md:/app/docs/technical_architecture.md:ro
+      - ./apps/okr:/app/apps/okr
+      - ./apps/service-desk:/app/apps/service-desk
+      - ./apps/projects:/app/apps/projects
+      - ./packages/casan-harness/level5/project-registry.json:/app/packages/casan-harness/level5/project-registry.json
     expose:
       - "3010"
     networks:
@@ -114,7 +128,7 @@ services:
       CASAN_IDP_ISSUER: http://localhost:18082
       CASAN_IDP_SUB: oidc-ops
       CASAN_IDP_EMAIL: oidc-ops@example.com
-      CASAN_IDP_GROUPS: casan-org-admin,casan-approver
+      CASAN_IDP_GROUPS: casan-org-admin,casan-approver,casan-project:AINative_OKR_CASAN4
       CASAN_APPROVAL_SIGNER_TOKEN: ${CASAN_APPROVAL_SIGNER_TOKEN:-local-approval-signer-secret}
     ports:
       - "18082:8080"

infra/local-prod/idp/mock_idp.py

@@ -17,7 +17,7 @@ PORT = int(os.environ.get("CASAN_IDP_PORT", "8080"))
 ISSUER = os.environ.get("CASAN_IDP_ISSUER", f"http://127.0.0.1:{PORT}")
 DEFAULT_SUB = os.environ.get("CASAN_IDP_SUB", "oidc-ops")
 DEFAULT_EMAIL = os.environ.get("CASAN_IDP_EMAIL", "oidc-ops@example.com")
-DEFAULT_GROUPS = [g for g in os.environ.get("CASAN_IDP_GROUPS", "casan-org-admin,casan-approver").split(",") if g]
+DEFAULT_GROUPS = [g for g in os.environ.get("CASAN_IDP_GROUPS", "casan-org-admin,casan-approver,casan-project:AINative_OKR_CASAN4").split(",") if g]
 USERS = {
     DEFAULT_SUB: {
         "name": "Operations Owner",
@@ -28,7 +28,7 @@ USERS = {
     "oidc-reviewer": {
         "name": "Independent Reviewer",
         "email": "oidc-reviewer@example.com",
-        "groups": ["casan-approver"],
+        "groups": ["casan-approver", "casan-project:AINative_OKR_CASAN4"],
         "description": "Reviews and approves another operator's proposal",
     },
 }

packages/casan-control-panel/backend/src/approvals/approvals.service.ts

@@ -83,7 +83,11 @@ export class ApprovalsService {
   list(actor: SettingsActor, status = 'pending') {
     this.requireRbac(actor, 'monitoring', 'read');
     const res = runFile('python3', [INBOX_CLI, 'list', '--status', status], this.tenantEnv(actor));
-    return { ...parseJson<Record<string, any>>(res.stdout, { count: 0, proposals: [], oversight: [] }), audit_verify: this.verifyAudit(actor) };
+    const inbox = parseJson<{ proposals?: Array<Record<string, any>>; oversight?: Array<Record<string, any>> }>(res.stdout, { proposals: [], oversight: [] });
+    const proposals = (inbox.proposals ?? []).filter((proposal) => this.canAccessProject(actor, String(proposal.project ?? actor.project)));
+    const visibleIds = new Set(proposals.map((proposal) => String(proposal.id ?? '')));
+    const oversight = (inbox.oversight ?? []).filter((record) => visibleIds.has(String(record.proposal_id ?? '')));
+    return { ...inbox, count: proposals.length, proposals, oversight, audit_verify: this.verifyAudit(actor) };
   }
 
   submit(input: ApprovalSubmit, actor: SettingsActor) {
@@ -122,9 +126,9 @@ export class ApprovalsService {
     if (!input.id || !input.decision || !input.reason) {
       throw new ForbiddenException('APPROVAL_DECIDE_DENY id/decision/reason required');
     }
-    this.requireRbac(actor, 'approval', 'grant');
     try {
       const pending = this.findProposal(input.id, actor);
+      this.requireRbac(actor, 'approval', 'grant', String(pending.project ?? actor.project));
       await this.verifyApprovalIdentity(input, actor, pending);
       const res = runFile('python3', [
         INBOX_CLI,
@@ -281,7 +285,16 @@ export class ApprovalsService {
     }
   }
 
-  private requireRbac(actor: SettingsActor, resource: string, action: string) {
+  private canAccessProject(actor: SettingsActor, targetProject: string): boolean {
+    try {
+      this.requireRbac(actor, 'monitoring', 'read', targetProject);
+      return true;
+    } catch {
+      return false;
+    }
+  }
+
+  private requireRbac(actor: SettingsActor, resource: string, action: string, targetProject = actor.project) {
     try {
       runFile('python3', [
         RBAC_CLI,
@@ -295,7 +308,7 @@ export class ApprovalsService {
         '--role-project',
         actor.project,
         '--target-project',
-        actor.project,
+        targetProject,
         '--role-tenant',
         actor.tenant,
         '--target-tenant',

packages/casan-control-panel/backend/src/common/auth-context.ts

@@ -33,6 +33,14 @@ function roleFromClaim(raw: string | undefined): string {
   return 'viewer';
 }
 
+function projectFromClaims(raw: string | undefined): string | undefined {
+  if (!raw) return undefined;
+  const prefix = 'casan-project:';
+  const projectClaim = raw.split(/[\s,]+/).find((claim) => claim.startsWith(prefix));
+  const project = projectClaim?.slice(prefix.length);
+  return project && /^[A-Za-z0-9._-]+$/.test(project) ? project : undefined;
+}
+
 export function actorFromHeaders(headers: Record<string, string | string[] | undefined>): SettingsActor {
   const actor = firstHeader(headers['x-casan-actor'])
     || firstHeader(headers['x-auth-request-user'])
@@ -45,7 +53,7 @@ export function actorFromHeaders(headers: Record<string, string | string[] | und
   return {
     actor,
     role: roleFromClaim(roleClaim),
-    project: firstHeader(headers['x-casan-project']) || 'default',
+    project: firstHeader(headers['x-casan-project']) || projectFromClaims(roleClaim) || 'default',
     tenant: firstHeader(headers['x-casan-tenant']) || 'default',
   };
 }

packages/casan-control-panel/backend/src/goals/goals.service.ts

@@ -48,6 +48,8 @@ export interface GoalJob {
   finished_at?: string;
   local_provider: string;
   local_model: string;
+  effective_local_provider?: string;
+  effective_local_model?: string;
   cloud_provider: string;
   cloud_model: string;
   stages: GoalStage[];
@@ -182,9 +184,20 @@ export class GoalsService {
     // must not silently change provider/model after a direct OpenAI repair
     // fails. Gateways can have their own transport and model-specific output
     // contracts; an operator can explicitly opt in after validating one.
-    const gatewayPatchRepairModels = process.env.CASAN_GOAL_ENABLE_GATEWAY_PATCH_REPAIR === '1' ? gatewayModels : [];
+    const gatewayPatchRepairModels = process.env.CASAN_GOAL_ENABLE_GATEWAY_PATCH_REPAIR === '1' ? gatewayModels.slice(0, 1) : [];
     const preferredCloudModel = cloudCandidates[0]?.model || '';
     const preferredCloudProvider = preferredCloudModel.startsWith('openai:') ? 'openai' : preferredCloudModel.startsWith('anthropic:') ? 'anthropic' : (cloud?.id || 'unavailable');
+    // Coding-worker order is based on observed capability, not advertised
+    // discovery: direct cloud credentials first, then a logged-in account
+    // bridge, and only then the small local model. The account remains H3 when
+    // direct cloud is H2, preserving a distinct reviewer channel.
+    const cloudWorker = cloudCandidates[0];
+    const accountWorker = cloudWorker ? '' : account;
+    const accountReviewer = cloudWorker ? account : '';
+    const workerModel = cloudWorker?.model || (accountWorker ? `account:${accountWorker}` : String(localRuntime.CASAN_CHAT_SELECTED_MODEL || `ollama:${localModel}`));
+    const workerProvider = cloudWorker
+      ? (workerModel.startsWith('openai:') ? 'openai' : workerModel.startsWith('anthropic:') ? 'anthropic' : 'cloud')
+      : (accountWorker ? `${accountWorker}-account` : (local?.id || 'local-policy'));
     const cloudModel = preferredCloudModel || gateway?.defaultModel || gateway?.models[0] || '';
     const id = randomUUID();
     const timestamp = new Date().toISOString();
@@ -199,13 +212,13 @@ export class GoalsService {
       workspace,
       created_at: timestamp,
       updated_at: timestamp,
-      local_provider: local?.id || 'local-policy',
+      local_provider: workerProvider,
-      local_model: String(localRuntime.CASAN_CHAT_SELECTED_MODEL || `ollama:${localModel}`),
+      local_model: workerModel,
-      cloud_provider: account ? `${account}-account` : (preferredCloudProvider !== 'unavailable' ? preferredCloudProvider : (selectedReviewer?.id || 'unavailable')),
+      cloud_provider: accountReviewer ? `${accountReviewer}-account` : (preferredCloudProvider !== 'unavailable' ? preferredCloudProvider : (selectedReviewer?.id || 'unavailable')),
-      cloud_model: account ? `${account}-account-default` : preferredCloudModel || String(cloudRuntime.CASAN_CHAT_SELECTED_MODEL || ''),
+      cloud_model: accountReviewer ? `${accountReviewer}-account-default` : preferredCloudModel || String(cloudRuntime.CASAN_CHAT_SELECTED_MODEL || ''),
       stages: [
-        { id: 'local-worker', status: 'queued', detail: 'Waiting for local worker', provider: local?.id || 'local-policy', model: localModel },
+        { id: 'local-worker', status: 'queued', detail: 'Waiting for primary coding worker', provider: workerProvider, model: workerModel },
-        { id: 'cloud-reviewer', status: 'queued', detail: account || preferredCloudModel || selectedReviewer ? 'Waiting for independent reviewer' : 'Cloud unavailable; local reviewer will be used', provider: account ? `${account}-account` : (preferredCloudProvider !== 'unavailable' ? preferredCloudProvider : (selectedReviewer?.id || 'local-policy')), model: account ? `${account}-account-default` : cloudModel || localModel },
+        { id: 'cloud-reviewer', status: 'queued', detail: accountReviewer || preferredCloudModel || selectedReviewer ? 'Waiting for independent reviewer' : 'Cloud unavailable; local reviewer will be used', provider: accountReviewer ? `${accountReviewer}-account` : (preferredCloudProvider !== 'unavailable' ? preferredCloudProvider : (selectedReviewer?.id || 'local-policy')), model: accountReviewer ? `${accountReviewer}-account-default` : cloudModel || localModel },
       ],
     };
     const jobFile = this.jobPath(actor.tenant, id);
@@ -226,7 +239,7 @@ export class GoalsService {
         CASAN_GOAL_CLOUD_MODEL: job.cloud_model,
         CASAN_GOAL_LOCAL_PROVIDER: job.local_provider,
         CASAN_GOAL_CLOUD_PROVIDER: job.cloud_provider,
-        CASAN_GOAL_ACCOUNT_PROVIDER: account || '',
+        CASAN_GOAL_ACCOUNT_PROVIDER: accountReviewer || '',
         CASAN_GOAL_CLOUD_FALLBACK_MODEL: String(cloudRuntime.CASAN_CHAT_SELECTED_MODEL || ''),
         CASAN_GOAL_CLOUD_MODELS: cloudCandidates.map(({ model }) => model).join(','),
         CASAN_GOAL_OMNIROUTE_MODELS: gatewayModels.join(','),
@@ -234,6 +247,8 @@ export class GoalsService {
         // explicit opt-in because it must not disguise a Codex patch failure.
         CASAN_GOAL_PATCH_REPAIR_MODELS: [...cloudCandidates.map(({ model }) => model), ...gatewayPatchRepairModels, String(localRuntime.CASAN_CHAT_SELECTED_MODEL || `ollama:${localModel}`)].filter((model, index, rows) => rows.indexOf(model) === index).join(','),
         CASAN_GOAL_LOCAL_REVIEWER_MODEL: String(localRuntime.CASAN_CHAT_SELECTED_MODEL || `ollama:${localModel}`),
+        CASAN_GOAL_LOCAL_REVIEWER_PROVIDER: local?.id || 'local-policy',
+        CASAN_GOAL_ENABLE_LOCAL_REVIEWER: process.env.CASAN_GOAL_ENABLE_LOCAL_REVIEWER || (account || preferredCloudModel ? '0' : '1'),
         CASAN_GOAL_REVIEWER_MAX_ATTEMPTS: process.env.CASAN_GOAL_REVIEWER_MAX_ATTEMPTS || '8',
         CASAN_GOAL_REVIEWER_DEADLINE_SEC: process.env.CASAN_GOAL_REVIEWER_DEADLINE_SEC || '600',
       },
@@ -393,7 +408,8 @@ export class GoalsService {
 
   apply(id: string, actor: SettingsActor): GoalJob {
     const job = this.get(id, actor);
-    if (!job.patch_artifact || job.status !== 'requires_approval') {
+    const retryableRollback = job.status === 'failed' && job.error === 'GOAL_APPLY_VERIFICATION_FAILED_ROLLED_BACK';
+    if (!job.patch_artifact || (job.status !== 'requires_approval' && !retryableRollback)) {
       throw new BadRequestException('GOAL_PATCH_NOT_READY');
     }
     try {

packages/casan-control-panel/backend/test/approvals.test.ts

@@ -102,6 +102,29 @@ test('operations owner request remains visible and actionable for an independent
   });
 });
 
+test('project reviewer cannot see or decide another project approval', async () => {
+  await withTempGovernance(async () => {
+    const svc = new ApprovalsService();
+    const submitted = svc.submit({
+      action: 'goal.workspace.execute',
+      target: 'project-alpha',
+      risk: 'high',
+      sensitive: true,
+      reason: 'project alpha patch',
+      payload: { goal_id: 'goal-alpha', project_id: 'project-alpha' },
+    }, { ...projectAdmin, project: 'project-alpha' }) as { proposal: { id: string } };
+    const otherProjectReviewer = { ...approver, project: 'project-beta' };
+
+    const reviewerInbox = svc.list(otherProjectReviewer, 'pending') as { count: number; proposals: Array<{ id: string }> };
+    assert.equal(reviewerInbox.count, 0);
+    assert.equal(reviewerInbox.proposals.length, 0);
+    await assert.rejects(
+      svc.decide({ id: submitted.proposal.id, decision: 'approve', reason: 'wrong project' }, otherProjectReviewer),
+      ForbiddenException,
+    );
+  });
+});
+
 test('approval inbox denies forged JWT in strict mode without deciding proposal', async () => {
   await withTempGovernance(async ({ inbox }) => {
     const svc = new ApprovalsService();

packages/casan-control-panel/backend/test/auth-context.test.ts

@@ -15,10 +15,11 @@ test('auth context keeps local explicit roles for dev', () => {
 test('auth context maps IdP group claim to RBAC role', () => {
   const actor = actorFromHeaders({
     'x-auth-request-user': 'bob@example.com',
-    'x-auth-request-groups': 'engineering,casan-approver',
+    'x-auth-request-groups': 'engineering,casan-approver,casan-project:AINative_OKR_CASAN4',
   });
   assert.equal(actor.actor, 'bob@example.com');
   assert.equal(actor.role, 'approver');
+  assert.equal(actor.project, 'AINative_OKR_CASAN4');
 });
 
 test('auth context fails closed to viewer for unknown role claim', () => {

packages/casan-control-panel/frontend/src/pages/Approvals.tsx

@@ -99,19 +99,39 @@ export function Approvals() {
   });
 
   const decide = useMutation({
-    mutationFn: ({ id, decision }: { id: string; decision: 'approve' | 'reject' }) => {
+    mutationFn: async ({ proposal, decision }: { proposal: ApprovalProposal; decision: 'approve' | 'reject' }) => {
       if (!actor) throw new Error('Authenticated session is unavailable.');
-      return api.decideApproval(actor, { id, decision, reason: decisionReason.trim() });
+      const response = await api.decideApproval(actor, { id: proposal.id, decision, reason: decisionReason.trim() });
+      if (decision !== 'approve' || proposal.action !== 'goal.workspace.execute') {
+        return { response, continuedGoalId: null };
+      }
+
+      const goalId = proposal.payload.goal_id;
+      if (typeof goalId !== 'string' || goalId.length === 0) {
+        throw new Error(`Request ${proposal.id} was approved, but its goal identifier is missing. Continue from Goal Orchestrator.`);
+      }
+      try {
+        await api.applyGoal({ ...actor, project: proposal.project }, goalId);
+        return { response, continuedGoalId: goalId };
+      } catch (error) {
+        throw new Error(`Request ${proposal.id} was approved, but apply/verification did not complete: ${errorMessage(error, 'unknown apply error')}`);
+      }
     },
-    onSuccess: (response) => {
+    onSuccess: ({ response, continuedGoalId }) => {
       const verb = response.proposal.status === 'approved' ? 'approved' : 'rejected';
-      setNotice({ tone: 'success', text: `Request ${response.proposal.id} was ${verb}.` });
+      const continuation = continuedGoalId ? ' The governed change was applied and verified.' : '';
+      setNotice({ tone: 'success', text: `Request ${response.proposal.id} was ${verb}.${continuation}` });
       void queryClient.invalidateQueries({ queryKey: ['approvals'] });
       void queryClient.invalidateQueries({ queryKey: ['settings'] });
       void queryClient.invalidateQueries({ queryKey: ['goals'] });
       void queryClient.invalidateQueries({ queryKey: ['goal'] });
     },
-    onError: (error) => setNotice({ tone: 'error', text: errorMessage(error, 'The approval decision could not be recorded.') }),
+    onError: (error) => {
+      setNotice({ tone: 'error', text: errorMessage(error, 'The approval decision could not be recorded.') });
+      void queryClient.invalidateQueries({ queryKey: ['approvals'] });
+      void queryClient.invalidateQueries({ queryKey: ['goals'] });
+      void queryClient.invalidateQueries({ queryKey: ['goal'] });
+    },
   });
 
   if (session.isLoading || (actor && inbox.isLoading)) {
@@ -184,7 +204,7 @@ export function Approvals() {
         <div className="mt-5 space-y-3">
           {inbox.data.proposals.map((proposal) => {
             const eligibility = reviewEligibility(actor, proposal);
-            const isCurrentDecision = decide.isPending && decide.variables?.id === proposal.id;
+            const isCurrentDecision = decide.isPending && decide.variables?.proposal.id === proposal.id;
             return (
               <article key={proposal.id} className="rounded-2xl border border-slate-200 bg-white p-4 transition hover:border-slate-300 hover:shadow-[0_12px_28px_rgba(15,23,42,0.055)] sm:p-5">
                 <div className="flex flex-wrap items-start justify-between gap-4">
@@ -211,8 +231,8 @@ export function Approvals() {
                     <span className={`text-xs font-medium ${eligibility.allowed ? 'text-emerald-700' : 'text-amber-700'}`}>{eligibility.reason}</span>
                     {eligibility.allowed && (
                       <div className="flex gap-2">
-                        <button type="button" disabled={decide.isPending || decisionReason.trim().length < 5} onClick={() => decide.mutate({ id: proposal.id, decision: 'reject' })} className="rounded-lg border border-rose-200 bg-white px-3.5 py-2 text-xs font-semibold text-rose-700 transition hover:bg-rose-50 focus:outline-none focus:ring-4 focus:ring-rose-100 disabled:cursor-not-allowed disabled:opacity-40">{isCurrentDecision && decide.variables?.decision === 'reject' ? 'Rejecting…' : 'Reject'}</button>
+                        <button type="button" disabled={decide.isPending || decisionReason.trim().length < 5} onClick={() => decide.mutate({ proposal, decision: 'reject' })} className="rounded-lg border border-rose-200 bg-white px-3.5 py-2 text-xs font-semibold text-rose-700 transition hover:bg-rose-50 focus:outline-none focus:ring-4 focus:ring-rose-100 disabled:cursor-not-allowed disabled:opacity-40">{isCurrentDecision && decide.variables?.decision === 'reject' ? 'Rejecting…' : 'Reject'}</button>
-                        <button type="button" disabled={decide.isPending || decisionReason.trim().length < 5} onClick={() => decide.mutate({ id: proposal.id, decision: 'approve' })} className="rounded-lg bg-emerald-700 px-4 py-2 text-xs font-semibold text-white transition hover:bg-emerald-800 focus:outline-none focus:ring-4 focus:ring-emerald-100 disabled:cursor-not-allowed disabled:bg-slate-300">{isCurrentDecision && decide.variables?.decision === 'approve' ? 'Approving…' : 'Approve'}</button>
+                        <button type="button" disabled={decide.isPending || decisionReason.trim().length < 5} onClick={() => decide.mutate({ proposal, decision: 'approve' })} className="rounded-lg bg-emerald-700 px-4 py-2 text-xs font-semibold text-white transition hover:bg-emerald-800 focus:outline-none focus:ring-4 focus:ring-emerald-100 disabled:cursor-not-allowed disabled:bg-slate-300">{isCurrentDecision && decide.variables?.decision === 'approve' ? 'Approving and continuing…' : proposal.action === 'goal.workspace.execute' ? 'Approve & continue' : 'Approve'}</button>
                       </div>
                     )}
                   </div>

packages/casan-harness/scripts/bash/goal-orchestrator.py

@@ -8,10 +8,12 @@ audit, or metric records.
 import argparse
 import fcntl
 import hashlib
+import importlib.util
 import json
 import os
 import re
 import shlex
+import shutil
 import subprocess
 import tempfile
 import time
@@ -36,6 +38,11 @@ SECURITY = os.path.join(BIN, "security-check.sh")
 STATE_ROOT = os.environ.get("CASAN_STATE_ROOT") or os.path.join(ROOT, ".specify")
 PROJECT_REGISTRY = os.path.join(ROOT, "packages", "casan-harness", "level5", "project-registry.json")
 APPROVAL_INBOX = os.path.join(BIN, "approval-inbox.py")
+_MANIFEST_SPEC = importlib.util.spec_from_file_location(
+    "casan_goal_project_manifest", os.path.join(BIN, "project_manifest.py")
+)
+PROJECT_MANIFEST = importlib.util.module_from_spec(_MANIFEST_SPEC)
+_MANIFEST_SPEC.loader.exec_module(PROJECT_MANIFEST)
 CONTEXT_EXTENSIONS = {".md", ".txt", ".json", ".yaml", ".yml", ".ts", ".tsx", ".js", ".mjs", ".py", ".sh", ".prisma", ".css", ".html"}
 CONTEXT_IGNORED = {"node_modules", ".git", "dist", "build", "coverage", ".vite", "tmp", "logs", "__pycache__"}
 SENSITIVE_NAMES = {".env", ".env.local", "credentials", "credentials.json", "secrets.json", "id_rsa", "id_ed25519"}
@@ -173,8 +180,35 @@ def context_excerpt_is_sensitive(text: str) -> bool:
     ))
 
 
+def restricted_context_paths(goal: str):
+    """Return an explicit user-declared file/directory boundary, if present."""
+    section = re.search(
+        r"(?:chỉ được đọc và thay đổi|chỉ làm việc trong|only (?:read and )?(?:modify|change)|only work (?:in|within))\s*:\s*"
+        r"(.*?)(?=\n\s*(?:không sửa bất kỳ file nào khác|do not (?:modify|change) any other file|không thay đổi|không thêm|vấn đề|yêu cầu|verification|$))",
+        goal,
+        re.IGNORECASE | re.DOTALL,
+    )
+    if not section:
+        return []
+    paths = []
+    for match in re.findall(r"(?:apps|packages|docs)/[A-Za-z0-9_./*-]+", section.group(1), re.IGNORECASE):
+        cleaned = match.rstrip(".,:;)")
+        scoped_directory = cleaned.endswith(("/*", "/**"))
+        normalized = cleaned.rstrip("/*")
+        if normalized and all(path != normalized for path, _ in paths):
+            paths.append((normalized, scoped_directory))
+    return paths
+
+
 def context_candidates(project: dict, goal: str):
     terms = {term.lower() for term in re.findall(r"[A-Za-z0-9_-]{3,}", goal)}
+    explicit_paths = []
+    for match in re.findall(r"(?:apps|packages|docs)/[A-Za-z0-9_./*-]+", goal, re.IGNORECASE):
+        cleaned = match.rstrip(".,:;)")
+        scoped_directory = cleaned.endswith(("/*", "/**"))
+        normalized_path = cleaned.rstrip("/*").lower()
+        if normalized_path and all(path != normalized_path for path, _ in explicit_paths):
+            explicit_paths.append((normalized_path, scoped_directory))
     candidates = []
     seen = set()
     for relative_root, absolute_root in project["roots"]:
@@ -200,6 +234,22 @@ def context_candidates(project: dict, goal: str):
                 continue
             haystack = (relative + "\n" + raw[:4000]).lower()
             score = sum(4 if term in relative.lower() else 1 for term in terms if term in haystack)
+            relative_lower = relative.lower()
+            matching_paths = [
+                (path, scoped_directory)
+                for path, scoped_directory in explicit_paths
+                if relative_lower == path or relative_lower.startswith(path + "/")
+            ]
+            if matching_paths:
+                # Directory globs under "only work in" sections describe the
+                # actual patch surface. Exact source-file mentions come next;
+                # architecture/requirement references remain supporting context.
+                if any(scoped_directory for _, scoped_directory in matching_paths):
+                    score += 3_000
+                elif os.path.splitext(relative_lower)[1] in {".ts", ".tsx", ".js", ".jsx", ".py", ".prisma", ".sql", ".sh"}:
+                    score += 2_000
+                else:
+                    score += 1_000
             if relative.endswith(("README.md", "architecture.md", "technical_architecture.md", "package.json")):
                 score += 3
             candidates.append((score, relative, raw))
@@ -209,6 +259,17 @@ def context_candidates(project: dict, goal: str):
 def build_context(job_path: str, project_id: str, goal: str, write_intent=False):
     project = registered_project(project_id)
     candidates = context_candidates(project, goal)
+    restricted_paths = restricted_context_paths(goal)
+    if restricted_paths:
+        candidates = [
+            candidate for candidate in candidates
+            if any(
+                candidate[1] == path or (scoped_directory and candidate[1].startswith(path.rstrip("/") + "/"))
+                for path, scoped_directory in restricted_paths
+            )
+        ]
+        if not candidates:
+            raise ValueError("goal_context_explicit_scope_empty")
     excerpts, manifest_files, characters = [], [], 0
     # A diff can only apply when the model sees the exact target-file content.
     # Read-only analysis stays compact; write-intent gives the three most
@@ -261,12 +322,39 @@ def build_context(job_path: str, project_id: str, goal: str, write_intent=False)
 
 def requests_side_effect(goal: str) -> bool:
     normalized = " ".join(goal.lower().split())
-    patterns = [
+    # The objective's leading command is authoritative. A scoped constraint
-        r"^(hãy\s+)?(làm luôn|sửa|thay đổi|triển khai|thực hiện|hoàn thành|chạy|tạo|xóa|cài đặt|commit|push)\b",
+    # such as "Không thay đổi API contract" must not turn "Hoàn thiện ..."
+    # into a read-only request. Conversely, a genuinely read-only audit does
+    # not begin with one of these implementation commands.
+    leading_write_patterns = [
+        r"^(hãy\s+)?(làm luôn|sửa|thay đổi|triển khai|thực hiện|hoàn thiện|hoàn thành|chạy|tạo|xóa|cài đặt|commit|push)\b",
         r"^(please\s+)?(implement|fix|change|deploy|run|create|delete|install|commit|push)\b",
-        r"\b(thực hiện thao tác|sửa code|ghi file|mở pull request|create a pull request)\b",
     ]
-    return any(re.search(pattern, normalized) for pattern in patterns)
+    if any(re.search(pattern, normalized) for pattern in leading_write_patterns):
+        return True
+
+    patch_requests = re.finditer(r"\b(tạo|generate|xuất|produce)\b.{0,40}\b(patch|unified git diff)\b", normalized)
+    explicit_patch_request = any(
+        not normalized[max(0, match.start() - 8):match.start()].endswith(("không ", "do not "))
+        for match in patch_requests
+    )
+    explicit_read_only = bool(re.search(r"\b(không|do not)\s+(sửa|thay đổi|triển khai|implement|fix|tạo|apply|áp dụng)\b", normalized))
+    if explicit_read_only and not explicit_patch_request:
+        return False
+    imperative_patterns = [r"\b(thực hiện thao tác|sửa code|ghi file|mở pull request|create a pull request)\b"]
+    if any(re.search(pattern, normalized) for pattern in imperative_patterns):
+        return True
+
+    # Structured objectives commonly start with a phase label rather than the
+    # imperative itself (for example "PHASE 1 — Hoàn thiện backend..."). Keep
+    # those write requests on the patch + approval path without classifying a
+    # read-only audit that merely mentions source files as a side effect.
+    structured_write_patterns = [
+        r"\b(hoàn thiện|triển khai|implement|fix|sửa|thay đổi)\b.{0,120}\b(ứng dụng|backend|frontend|module|component|api|source|code|file)\b",
+        r"\b(tạo|generate|xuất|produce)\b.{0,40}\b(patch|unified git diff)\b",
+        r"\b(apply|áp dụng)\b.{0,40}\b(patch|thay đổi|change)\b",
+    ]
+    return any(re.search(pattern, normalized) for pattern in structured_write_patterns)
 
 
 def extract_patch(text: str) -> str:
@@ -344,6 +432,17 @@ def normalize_unified_diff(patch: str) -> str:
     return "\n".join(normalized) + "\n" if changed else patch
 
 
+def mechanical_patch_error(error: object) -> bool:
+    """Identify git parser errors that hunk recounting can safely repair."""
+    normalized = str(error).lower()
+    return any(marker in normalized for marker in (
+        "corrupt patch",
+        "patch fragment without header",
+        "malformed patch",
+        "unexpected end of file in patch",
+    ))
+
+
 def validate_write_output(text: str) -> str:
     """Fail at the producing harness when a write-intent reply is not a diff.
 
@@ -356,7 +455,7 @@ def validate_write_output(text: str) -> str:
         validate_patch_check(patch)
         return patch
     except ValueError as original_error:
-        if "corrupt patch" not in str(original_error):
+        if not mechanical_patch_error(original_error):
             raise
         normalized = normalize_unified_diff(patch)
         if normalized == patch:
@@ -387,14 +486,106 @@ def patch_repair_models(primary_model: str):
     """Use direct cloud -> gateway -> local order for one bounded H2 recovery."""
     configured = [item.strip() for item in os.environ.get("CASAN_GOAL_PATCH_REPAIR_MODELS", "").split(",") if item.strip()]
     unique, seen = [], set()
-    for candidate in configured + [primary_model]:
+    ordered = [primary_model, *configured] if primary_model.startswith("account:") else [*configured, primary_model]
+    for candidate in ordered:
         if candidate and candidate not in seen:
             seen.add(candidate)
             unique.append(candidate)
     return unique
 
 
+def model_preflight_enabled() -> bool:
+    configured = os.environ.get("CASAN_GOAL_MODEL_PREFLIGHT")
+    return configured == "1" if configured is not None else os.environ.get("CASAN_PROFILE") == "prod"
+
+
+def model_preflight(model: str):
+    """Probe real patch generation before assigning a model to H2/H3.
+
+    Model discovery only proves that an ID is advertised. This bounded probe
+    verifies the generation route and unified-diff capability, and caches the
+    verdict so a broken gateway is not retried for every goal.
+    """
+    if not model_preflight_enabled():
+        return True, "preflight_disabled"
+    if model.startswith("account:"):
+        endpoint = os.environ.get("CASAN_AUTH_BRIDGE_URL", "")
+    elif model.startswith("openai-compatible:"):
+        endpoint = os.environ.get("CASAN_OPENAI_COMPATIBLE_BASE_URL", "")
+    else:
+        endpoint = os.environ.get("OLLAMA_HOST", "")
+    cache_key = sha(f"{model}|{endpoint}")
+    cache_directory = os.path.join(STATE_ROOT, "cache")
+    cache_path = os.path.join(cache_directory, "goal-model-preflight.json")
+    lock_path = os.path.join(cache_directory, "goal-model-preflight.lock")
+    os.makedirs(cache_directory, mode=0o700, exist_ok=True)
+    ttl = int(os.environ.get("CASAN_GOAL_MODEL_PREFLIGHT_TTL_SEC", "600"))
+    with open(lock_path, "a", encoding="utf-8") as lock:
+        fcntl.flock(lock.fileno(), fcntl.LOCK_EX)
+        try:
+            cache = load_json(cache_path) if os.path.isfile(cache_path) else {}
+        except (OSError, ValueError, json.JSONDecodeError):
+            cache = {}
+        cached = cache.get(cache_key, {}) if isinstance(cache, dict) else {}
+        age = time.time() - float(cached.get("checked_epoch", 0))
+        if age <= max(30, ttl):
+            fcntl.flock(lock.fileno(), fcntl.LOCK_UN)
+            return bool(cached.get("healthy")), f"cached:{cached.get('reason', 'unknown')}"
+        fcntl.flock(lock.fileno(), fcntl.LOCK_UN)
+
+    prompt = (
+        "Patch capability probe. Return ONLY a unified git diff inside a ```diff fence that changes "
+        "the only line in probe.txt from old to new. No prose. The diff must begin with "
+        "`diff --git a/probe.txt b/probe.txt`."
+    )
+    timeout_setting = (
+        os.environ.get("CASAN_GOAL_LOCAL_MODEL_PREFLIGHT_TIMEOUT_SEC", "90")
+        if model.startswith("ollama:")
+        else os.environ.get("CASAN_GOAL_MODEL_PREFLIGHT_TIMEOUT_SEC", "30")
+    )
+    timeout = max(5, min(int(timeout_setting), 120))
+    if model.startswith("account:"):
+        ok, output, _, reason = call_account_model(model.split(":", 1)[1], prompt, timeout)
+    else:
+        ok, output, _, reason = call_model(
+            model, prompt, model.startswith(("openai:", "anthropic:", "openai-compatible:")),
+            timeout_seconds=timeout, max_output_tokens=512,
+        )
+    healthy = False
+    if ok:
+        try:
+            patch = extract_patch(output)
+            healthy = (
+                "diff --git a/probe.txt b/probe.txt" in patch
+                and "\n-old\n" in patch
+                and "\n+new\n" in patch
+            )
+            reason = "ok" if healthy else "patch_probe_contract_invalid"
+        except ValueError as error:
+            reason = str(error)
+    record = {
+        "model": model,
+        "provider": provider_for_model(model),
+        "healthy": healthy,
+        "reason": reason[:180],
+        "checked_at": now(),
+        "checked_epoch": time.time(),
+    }
+    with open(lock_path, "a", encoding="utf-8") as lock:
+        fcntl.flock(lock.fileno(), fcntl.LOCK_EX)
+        try:
+            cache = load_json(cache_path) if os.path.isfile(cache_path) else {}
+        except (OSError, ValueError, json.JSONDecodeError):
+            cache = {}
+        cache[cache_key] = record
+        atomic_json(cache_path, cache)
+        fcntl.flock(lock.fileno(), fcntl.LOCK_UN)
+    return healthy, reason
+
+
 def provider_for_model(model: str) -> str:
+    if model.startswith("account:"):
+        return f"{model.split(':', 1)[1]}-account"
     if model.startswith("openai:"):
         return "openai"
     if model.startswith("anthropic:"):
@@ -420,7 +611,7 @@ def repair_write_output(model: str, original_prompt: str, invalid_output: str, c
     def repair_prompt_for(previous_output: str, error: str) -> str:
         hunk_instruction = (
             "The previous diff is syntactically corrupt. Recompute every `@@ -old,count +new,count @@` header from the exact added/removed/context lines that follow it; do not omit or invent any hunk line. "
-            if "corrupt patch" in error.lower() else ""
+            if mechanical_patch_error(error) else ""
         )
         return (
         f"Your previous response violated the required write-output contract: {error}. " +
@@ -434,6 +625,20 @@ def repair_write_output(model: str, original_prompt: str, invalid_output: str, c
     last_metadata, last_reason = {}, "goal_patch_missing"
     attempts = []
     for attempt_number, candidate in enumerate(candidates, start=1):
+        healthy, preflight_reason = model_preflight(candidate)
+        if not healthy:
+            last_reason = f"goal_patch_model_preflight_failed:{preflight_reason}"
+            attempts.append({
+                "attempt": attempt_number,
+                "provider": provider_for_model(candidate),
+                "model": candidate,
+                "status": "failed",
+                "reason": last_reason,
+            })
+            continue
+        if candidate.startswith("account:"):
+            ok, output, metadata, reason = call_account_model(candidate.split(":", 1)[1], repair_prompt, 300)
+        else:
             ok, output, metadata, reason = call_model(candidate, repair_prompt, candidate.startswith(("openai:", "anthropic:", "openai-compatible:")), max_output_tokens=patch_output_tokens())
         metadata = dict(metadata)
         metadata["repair_model"] = candidate
@@ -464,7 +669,7 @@ def repair_write_output(model: str, original_prompt: str, invalid_output: str, c
             # incomplete first diff. Give the same stronger direct model one
             # corrective pass containing its own failed patch and git error
             # before sending source context to a weaker gateway.
-            if candidate.endswith("-codex") and attempt_number < patch_repair_attempts():
+            if (candidate.endswith("-codex") or candidate == "account:codex") and attempt_number < patch_repair_attempts():
                 candidates.insert(attempt_number, candidate)
                 del candidates[patch_repair_attempts():]
                 repair_prompt = repair_prompt_for(output, last_reason)
@@ -493,8 +698,52 @@ def merge_usage(primary: dict, additional: dict) -> dict:
     return merged
 
 
+def validate_patch_semantics(job: dict, artifact: str, changed_files: list[str]) -> list[dict]:
+    """Build and test an applied patch in an isolated workspace before approval."""
+    artifact = os.path.realpath(artifact)
+    if os.path.commonpath([ROOT, artifact]) != ROOT or not os.path.isfile(artifact):
+        raise ValueError("goal_patch_artifact_path_denied")
+    manifest = PROJECT_MANIFEST.load(ROOT, project_id=str(job.get("project") or ""))
+    commands = PROJECT_MANIFEST.verification_commands(manifest, changed_files)
+    if not commands:
+        raise ValueError("goal_patch_verification_unmapped")
+    results = []
+    with tempfile.TemporaryDirectory(prefix="casan-goal-verify-") as sandbox:
+        paths = ["package.json", "package-lock.json", *manifest["source_roots"]]
+        paths.extend(str(value) for value in job.get("workspace", {}).get("context_roots", []))
+        for relative in dict.fromkeys(paths):
+            source = os.path.realpath(os.path.join(ROOT, relative))
+            if os.path.commonpath([ROOT, source]) != ROOT or not os.path.exists(source):
+                continue
+            destination = os.path.join(sandbox, relative)
+            os.makedirs(os.path.dirname(destination), exist_ok=True)
+            if os.path.isdir(source):
+                shutil.copytree(source, destination, dirs_exist_ok=True, symlinks=True, ignore=shutil.ignore_patterns("node_modules", "dist", "coverage"))
+            else:
+                shutil.copy2(source, destination)
+        dependencies = os.path.join(ROOT, "node_modules")
+        if os.path.isdir(dependencies):
+            os.symlink(dependencies, os.path.join(sandbox, "node_modules"), target_is_directory=True)
+        applied = subprocess.run(
+            ["git", "apply", "--whitespace=error", artifact], cwd=sandbox,
+            capture_output=True, text=True, timeout=30,
+        )
+        if applied.returncode != 0:
+            raise ValueError("goal_patch_sandbox_apply_failed:" + (applied.stderr or applied.stdout).strip()[:300])
+        timeout = max(30, int(os.environ.get("CASAN_GOAL_PATCH_VERIFY_TIMEOUT_SEC", "300")))
+        for command in commands:
+            result = subprocess.run(command, cwd=sandbox, capture_output=True, text=True, timeout=timeout)
+            output = (result.stdout + result.stderr)[-4000:]
+            results.append({"command": " ".join(command), "exit_code": result.returncode, "output": output})
+            if result.returncode != 0:
+                raise ValueError("goal_patch_verification_failed:" + output[-1200:])
+    return results
+
+
 def validate_and_store_patch(job_path: str, job: dict, patch: str) -> dict:
-    roots = [str(value).strip("/") for value in job.get("workspace", {}).get("context_roots", [])]
+    explicit_scope = restricted_context_paths(str(job.get("goal") or ""))
+    roots = [path.strip("/") for path, _ in explicit_scope] or [str(value).strip("/") for value in job.get("workspace", {}).get("context_roots", [])]
+    directory_roots = {path.strip("/") for path, scoped_directory in explicit_scope if scoped_directory}
     changed = []
     header_paths = []
     for line in patch.splitlines():
@@ -514,7 +763,7 @@ def validate_and_store_patch(job_path: str, job: dict, patch: str) -> dict:
             path = path[2:]
         if path.startswith("/") or ".." in path.split("/"):
             raise ValueError("goal_patch_path_denied")
-        if not any(path == root or path.startswith(root + "/") for root in roots):
+        if not any(path == root or (root in directory_roots and path.startswith(root + "/")) for root in roots):
             raise ValueError(f"goal_patch_outside_workspace:{path}")
         changed.append(path)
     if not changed or len(set(changed)) > 20:
@@ -529,7 +778,12 @@ def validate_and_store_patch(job_path: str, job: dict, patch: str) -> dict:
     if check.returncode != 0:
         os.unlink(artifact)
         raise ValueError("goal_patch_check_failed:" + (check.stderr or check.stdout).strip()[:160])
-    return {"path": os.path.relpath(artifact, ROOT), "sha256": sha(patch), "files": sorted(set(changed)), "bytes": len(patch.encode("utf-8")), "status": "awaiting_approval", "preview": patch[:50_000]}
+    try:
+        verification = validate_patch_semantics(job, artifact, sorted(set(changed)))
+    except Exception:
+        os.unlink(artifact)
+        raise
+    return {"path": os.path.relpath(artifact, ROOT), "sha256": sha(patch), "files": sorted(set(changed)), "bytes": len(patch.encode("utf-8")), "status": "awaiting_approval", "preview": patch[:50_000], "preapproval_verification": verification}
 
 
 def submit_side_effect(job: dict, manifest: dict, patch_artifact: dict) -> dict:
@@ -702,8 +956,8 @@ def reviewer_candidates(account_provider: str, cloud_model: str, local_model: st
         candidates.append({"kind": "model", "provider": "omniroute", "model": value, "value": value})
 
     local_reviewer = os.environ.get("CASAN_GOAL_LOCAL_REVIEWER_MODEL", "").strip() or local_model
-    if local_reviewer:
+    if local_reviewer and os.environ.get("CASAN_GOAL_ENABLE_LOCAL_REVIEWER", "1") == "1":
-        candidates.append({"kind": "model", "provider": os.environ.get("CASAN_GOAL_LOCAL_PROVIDER", "local-policy"), "model": local_reviewer, "value": local_reviewer})
+        candidates.append({"kind": "model", "provider": os.environ.get("CASAN_GOAL_LOCAL_REVIEWER_PROVIDER", os.environ.get("CASAN_GOAL_LOCAL_PROVIDER", "local-policy")), "model": local_reviewer, "value": local_reviewer})
 
     unique, seen = [], set()
     for candidate in candidates:
@@ -714,15 +968,17 @@ def reviewer_candidates(account_provider: str, cloud_model: str, local_model: st
     return unique
 
 
-def run_reviewer_chain(job_path: str, prompt: str, account_provider: str, cloud_model: str, local_model: str):
+def run_reviewer_chain(job_path: str, prompt: str, account_provider: str, cloud_model: str, local_model: str, max_output_tokens=None, excluded_models=None):
     max_attempts = max(1, min(int(os.environ.get("CASAN_GOAL_REVIEWER_MAX_ATTEMPTS", "5")), 10))
     deadline_seconds = max(1, min(int(os.environ.get("CASAN_GOAL_REVIEWER_DEADLINE_SEC", "360")), 900))
     deadline = time.monotonic() + deadline_seconds
     ledger = []
     update_job(job_path, reviewer_attempts=ledger)
     last_reason = "reviewer_candidates_unavailable"
-    candidates = reviewer_candidates(account_provider, cloud_model, local_model)
+    excluded = set(excluded_models or [])
-    if len(candidates) > max_attempts and candidates[-1].get("provider") == os.environ.get("CASAN_GOAL_LOCAL_PROVIDER", "local-policy"):
+    candidates = [candidate for candidate in reviewer_candidates(account_provider, cloud_model, local_model) if candidate.get("value") not in excluded]
+    local_reviewer_provider = os.environ.get("CASAN_GOAL_LOCAL_REVIEWER_PROVIDER", os.environ.get("CASAN_GOAL_LOCAL_PROVIDER", "local-policy"))
+    if len(candidates) > max_attempts and candidates[-1].get("provider") == local_reviewer_provider:
         candidates = candidates[:max_attempts - 1] + [candidates[-1]] if max_attempts > 1 else [candidates[-1]]
     else:
         candidates = candidates[:max_attempts]
@@ -734,10 +990,26 @@ def run_reviewer_chain(job_path: str, prompt: str, account_provider: str, cloud_
         attempt_number = len(ledger) + 1
         stage(job_path, "cloud-reviewer", "running", f"Reviewer attempt {attempt_number}/{max_attempts}", candidate["provider"], candidate["model"])
         started_at, started_clock = now(), time.monotonic()
+        if candidate["kind"] == "model" and max_output_tokens is not None:
+            healthy, preflight_reason = model_preflight(candidate["value"])
+            if not healthy:
+                reason = f"model_preflight_failed:{preflight_reason}"
+                ledger.append({
+                    "attempt": attempt_number, "provider": candidate["provider"], "model": candidate["model"],
+                    "status": "failed", "reason": reason, "retryable": True,
+                    "started_at": started_at, "finished_at": now(),
+                    "latency_ms": int((time.monotonic() - started_clock) * 1000),
+                })
+                update_job(job_path, reviewer_attempts=ledger)
+                last_reason = reason
+                continue
         if candidate["kind"] == "account":
             ok, result, metadata, reason = call_account_model(candidate["value"], prompt, remaining)
         else:
-            ok, result, metadata, reason = call_model(candidate["value"], prompt, candidate["provider"] != os.environ.get("CASAN_GOAL_LOCAL_PROVIDER", "local-policy"), remaining)
+            if max_output_tokens is None:
+                ok, result, metadata, reason = call_model(candidate["value"], prompt, candidate["provider"] != local_reviewer_provider, remaining)
+            else:
+                ok, result, metadata, reason = call_model(candidate["value"], prompt, candidate["provider"] != local_reviewer_provider, remaining, max_output_tokens=max_output_tokens)
         retryable = False if ok else reviewer_failure_retryable(reason)
         ledger.append({
             "attempt": attempt_number, "provider": candidate["provider"], "model": candidate["model"],
@@ -846,6 +1118,12 @@ def run(job_path: str) -> int:
         })
         emit(goal_id, "H4-security", "running", "Objective and workspace snapshot passed; model outputs pending")
 
+        local_healthy, local_preflight_reason = model_preflight(local_model)
+        if not local_healthy:
+            stage(job_path, "local-worker", "error", f"model_preflight_failed:{local_preflight_reason}", job.get("local_provider", ""), local_model)
+            emit(goal_id, "H2-tool", "error", "Local worker failed patch-generation preflight", {"provider": job.get("local_provider", ""), "model": local_model, "reason": local_preflight_reason})
+            raise RuntimeError(f"local_worker_preflight_failed:{local_preflight_reason}")
+
         stage(job_path, "local-worker", "running", "Local model is developing the primary solution", job.get("local_provider", ""), local_model)
         emit(goal_id, "H2-tool", "running", "Local worker is developing a solution", {"provider": job.get("local_provider", ""), "model": local_model})
         output_contract = (
@@ -859,7 +1137,15 @@ def run(job_path: str) -> int:
             "Do not claim to inspect any filesystem outside this snapshot and do not perform side effects.\n\n"
             f"OBJECTIVE:\n{safe_goal}\n\nWORKSPACE SNAPSHOT ({project_id}):\n{context_bundle}"
         )
-        ok, local_draft, local_meta, reason = call_model(local_model, local_prompt, False)
+        if local_model.startswith("account:"):
+            ok, local_draft, local_meta, reason = call_account_model(local_model.split(":", 1)[1], local_prompt, 300)
+        else:
+            ok, local_draft, local_meta, reason = call_model(
+                local_model,
+                local_prompt,
+                False,
+                max_output_tokens=patch_output_tokens() if write_intent else None,
+            )
         if not ok:
             stage(job_path, "local-worker", "error", reason, job.get("local_provider", ""), local_model)
             emit(goal_id, "H2-tool", "error", "Local worker failed", {"reason": reason})
@@ -897,14 +1183,18 @@ def run(job_path: str) -> int:
                     stage(job_path, "local-worker", "error", reason, provider_for_model(actual_repair_model), actual_repair_model)
                     emit(goal_id, "H2-tool", "error", "Worker violated patch output contract after repair", {"reason": reason, "repair_provider": provider_for_model(actual_repair_model), "repair_model": actual_repair_model, "repair_attempts": repaired_meta.get("repair_attempts", [])})
                     raise ValueError(reason)
-        stage(job_path, "local-worker", "pass", "Primary solution prepared", job.get("local_provider", ""), local_model)
+        effective_local_model = str(local_meta.get("repair_model") or local_model)
+        effective_local_provider = provider_for_model(effective_local_model)
+        stage(job_path, "local-worker", "pass", "Primary solution prepared", effective_local_provider, effective_local_model)
         update_job(
             job_path,
             local_draft=safe_local,
             local_usage=local_meta,
             patch_repair_attempts=local_meta.get("repair_attempts", []),
+            effective_local_provider=effective_local_provider,
+            effective_local_model=effective_local_model,
         )
-        emit(goal_id, "H2-tool", "pass", "Local solution prepared", {"provider": job.get("local_provider", ""), "model": local_model, **local_meta})
+        emit(goal_id, "H2-tool", "pass", "Primary solution prepared", {"provider": effective_local_provider, "model": effective_local_model, **local_meta})
 
         stage(job_path, "cloud-reviewer", "running", "Independent reviewer is challenging and improving the local solution", job.get("cloud_provider", ""), cloud_model)
         emit(goal_id, "H3-eval", "running", "Cloud reviewer is evaluating the local solution", {"provider": job.get("cloud_provider", ""), "model": cloud_model})
@@ -923,7 +1213,13 @@ def run(job_path: str) -> int:
             f"LOCAL WORKER PROPOSAL:\n{safe_local[:5000]}"
         )
         cloud_ok, cloud_result, cloud_meta, cloud_reason, reviewer = run_reviewer_chain(
-            job_path, review_prompt, account_provider, cloud_model, local_model
+            job_path,
+            review_prompt,
+            account_provider,
+            cloud_model,
+            local_model,
+            max_output_tokens=patch_output_tokens() if write_intent else None,
+            excluded_models={effective_local_model},
         )
         reviewer_provider = str(reviewer.get("provider") or job.get("cloud_provider", ""))
         reviewer_model = str(reviewer.get("model") or cloud_model)
@@ -965,8 +1261,13 @@ def run(job_path: str) -> int:
             patch_artifact["approval_id"] = proposal["id"]
             final_status = "requires_approval"
             metric_status = "degraded"
+            if cloud_ok:
                 safe_result = "Implementation patch generated and independently reviewed. Approval is required before applying it to the workspace."
-            emit(goal_id, "H7-orchestration", "blocked", "Reviewed patch awaits approval", {"proposal_id": proposal["id"], "patch_sha256": patch_artifact["sha256"]})
+                wait_detail = "Independently reviewed patch awaits approval"
+            else:
+                safe_result = "Implementation patch generated and validated. Automated H3 review was unavailable, so Independent Reviewer approval is required before applying it to the workspace."
+                wait_detail = "Validated patch awaits Independent Reviewer approval after H3 degradation"
+            emit(goal_id, "H7-orchestration", "blocked", wait_detail, {"proposal_id": proposal["id"], "patch_sha256": patch_artifact["sha256"], "cloud_incorporated": cloud_ok})
             job = update_job(job_path, status=final_status, result=safe_result, patch_artifact=patch_artifact, approval=approval, cloud_usage=cloud_meta, finished_at=now())
         else:
             job = update_job(job_path, status=final_status, result=safe_result, cloud_usage=cloud_meta, finished_at=now())

packages/casan-harness/scripts/bash/goal-patch-executor.py

@@ -97,14 +97,29 @@ def _manifest_for_files(files: list[str]) -> dict:
 
 def verification_commands(files: list[str], manifest: dict | None = None) -> list[list[str]]:
     project = manifest or _manifest_for_files(files)
-    return [["git", "diff", "--check", "--", *files], *PROJECT_MANIFEST.verification_commands(project, files)]
+    # `git apply --check --whitespace=error` already validates the exact patch
+    # before mutation. Runtime images intentionally do not need repository
+    # metadata, so post-apply verification is limited to manifest build/tests.
+    return PROJECT_MANIFEST.verification_commands(project, files)
+
+
+def ready_for_apply(job: dict) -> bool:
+    if not job.get("patch_artifact"):
+        return False
+    if job.get("status") == "requires_approval":
+        return True
+    return (
+        job.get("status") == "failed"
+        and job.get("error") == "GOAL_APPLY_VERIFICATION_FAILED_ROLLED_BACK"
+    )
 
 
 def execute(job_path: str, actor: str) -> dict:
     job = load(job_path)
-    if job.get("status") != "requires_approval" or not job.get("patch_artifact"):
+    if not ready_for_apply(job):
         raise RuntimeError("GOAL_APPLY_JOB_NOT_READY")
     proposal = verify_approval(job)
+    job.setdefault("approval", {})["status"] = "approved"
     if proposal.get("approver") != actor:
         raise PermissionError("GOAL_APPLY_APPROVER_IDENTITY_MISMATCH")
     artifact = job["patch_artifact"]
@@ -135,7 +150,8 @@ def execute(job_path: str, actor: str) -> dict:
         rollback = run(["git", "apply", "--reverse", patch_path], 30)
         if rollback.returncode != 0:
             raise RuntimeError("GOAL_APPLY_ROLLBACK_FAILED")
-        job.update(status="failed", error="GOAL_APPLY_VERIFICATION_FAILED_ROLLED_BACK", verification=checks, finished_at=now(), updated_at=now())
+        artifact["status"] = "awaiting_apply_retry"
+        job.update(status="requires_approval", error="GOAL_APPLY_VERIFICATION_FAILED_ROLLED_BACK", patch_artifact=artifact, verification=checks, finished_at=now(), updated_at=now())
         save(job_path, job)
         raise
 

packages/casan-harness/scripts/bash/security-check.sh

@@ -25,6 +25,22 @@ TRACE_DIR="$LOG_DIR/trace"
 AUDIT_DIR="$LOG_DIR/audit"
 SECURITY_DIR="$CASAN_HARNESS_ROOT/security"
 
+# Prefer the OS Python over framework/shim installations that may exist in a
+# developer shell but cannot execute. The runtime image also exposes this path.
+PYTHON_BIN="${CASAN_PYTHON_BIN:-}"
+if [[ -z "$PYTHON_BIN" ]]; then
+  for candidate in /usr/bin/python3 python3 python; do
+    if command -v "$candidate" >/dev/null 2>&1 && "$candidate" --version >/dev/null 2>&1; then
+      PYTHON_BIN="$candidate"
+      break
+    fi
+  done
+fi
+if [[ -z "$PYTHON_BIN" ]]; then
+  echo "SECURITY_RUNTIME_UNAVAILABLE: working Python 3 interpreter not found" >&2
+  exit 69
+fi
+
 # Shared log taxonomy (error<warn<info<debug<trace via CASAN_LOG_LEVEL). Used to
 # make semantic skips loud (never silent) — stderr only, stdout contract intact.
 # shellcheck source=casan-log.sh
@@ -59,7 +75,7 @@ new_trace_id() {
 }
 
 json_escape() {
-  python -c 'import json,sys; print(json.dumps(sys.stdin.read()))' 2>/dev/null || sed 's/\\/\\\\/g; s/"/\\"/g'
+  "$PYTHON_BIN" -c 'import json,sys; print(json.dumps(sys.stdin.read()))' 2>/dev/null || sed 's/\\/\\\\/g; s/"/\\"/g'
 }
 
 hash_text() {
@@ -85,7 +101,7 @@ load_yaml_values() {
   local file="$1"
   local key="$2"
   [[ -f "$file" ]] || return 0
-  python - "$file" "$key" <<'PY'
+  "$PYTHON_BIN" - "$file" "$key" <<'PY'
 import re
 import sys
 path, key = sys.argv[1], sys.argv[2]
@@ -98,6 +114,45 @@ with open(path, encoding="utf-8") as f:
 PY
 }
 
+# Load only rule patterns whose declared action matches the requested action.
+# The previous generic loader returned every `pattern:` in prompt-filter.yaml,
+# which accidentally promoted `require_approval`, `alert`, and `log` rules to
+# hard blocks. That made ordinary source code containing methods such as
+# `delete()` fail the workspace-context scan as prompt injection.
+load_yaml_rule_patterns() {
+  local file="$1"
+  local requested_action="$2"
+  [[ -f "$file" ]] || return 0
+  "$PYTHON_BIN" - "$file" "$requested_action" <<'PY'
+import re
+import sys
+
+path, requested_action = sys.argv[1], sys.argv[2]
+pattern = None
+action = None
+
+def flush():
+    if pattern is not None and action == requested_action:
+        print(pattern)
+
+with open(path, encoding="utf-8") as handle:
+    for line in handle:
+        if re.match(r"^\s*-\s+id:\s*", line):
+            flush()
+            pattern = None
+            action = None
+            continue
+        pattern_match = re.match(r'^\s*pattern:\s*"(.*)"\s*$', line)
+        if pattern_match:
+            pattern = pattern_match.group(1)
+            continue
+        action_match = re.match(r"^\s*action:\s*([A-Za-z_]+)\s*$", line)
+        if action_match:
+            action = action_match.group(1)
+flush()
+PY
+}
+
 TRACE_ID="$(new_trace_id)"
 TIMESTAMP="$(timestamp)"
 CONTENT="$(cat "$INPUT_FILE")"
@@ -126,7 +181,7 @@ BLOCK_PATTERNS=(
 
 while IFS= read -r pattern; do
   [[ -n "$pattern" ]] && BLOCK_PATTERNS+=("$pattern")
-done < <(load_yaml_values "$SECURITY_DIR/prompt-filter.yaml" "pattern")
+done < <(load_yaml_rule_patterns "$SECURITY_DIR/prompt-filter.yaml" "block")
 
 APPROVAL_PATTERNS=(
   "delete[[:space:]].*"
@@ -169,8 +224,8 @@ NORM_CONTENT="$(normalize_for_match "$CONTENT")"
 # fullwidth/zero-width/Cyrillic-lookalike obfuscation cannot split or disguise
 # a blocked phrase (V3). Falls back to the raw content if python is missing.
 UNI_CONTENT="$CONTENT"
-if command -v python >/dev/null 2>&1; then
+if [[ -n "$PYTHON_BIN" ]]; then
-  UNI_CONTENT="$(printf '%s' "$CONTENT" | python "$SCRIPT_DIR/unicode-normalize.py" 2>/dev/null)"
+  UNI_CONTENT="$(printf '%s' "$CONTENT" | "$PYTHON_BIN" "$SCRIPT_DIR/unicode-normalize.py" 2>/dev/null)"
   [[ -n "$UNI_CONTENT" ]] || UNI_CONTENT="$CONTENT"
 fi
 UNI_NORM_CONTENT="$(normalize_for_match "$UNI_CONTENT")"
@@ -180,8 +235,8 @@ UNI_NORM_CONTENT="$(normalize_for_match "$UNI_CONTENT")"
 # Only mostly-printable decodes survive, so random base64-looking words never
 # create a false positive.
 DECODED_CONTENT=""
-if command -v python >/dev/null 2>&1; then
+if [[ -n "$PYTHON_BIN" ]]; then
-  DECODED_CONTENT="$(printf '%s' "$CONTENT" | python "$SCRIPT_DIR/decode-suspicious.py" 2>/dev/null || true)"
+  DECODED_CONTENT="$(printf '%s' "$CONTENT" | "$PYTHON_BIN" "$SCRIPT_DIR/decode-suspicious.py" 2>/dev/null || true)"
 fi
 
 # Matches a pattern against the raw (case-insensitive), leetspeak-folded,
@@ -279,7 +334,7 @@ if [[ "$MODE" == "input" ]]; then
       SEM_JSON="$TRACE_DIR/semantic-$TRACE_ID.json"
       "$SCRIPT_DIR/model-router.sh" "$INPUT_FILE" "$SEM_JSON" --role classify >/dev/null 2>&1 || true
       if [[ -f "$SEM_JSON" ]]; then
-        SEM_VERDICT="$(python -c "import json;print(json.load(open('$SEM_JSON')).get('verdict',''))" 2>/dev/null || echo "")"
+        SEM_VERDICT="$("$PYTHON_BIN" -c "import json;print(json.load(open('$SEM_JSON')).get('verdict',''))" 2>/dev/null || echo "")"
       fi
     fi
     if [[ "$SEM_VERDICT" == "INJECTION" ]]; then
@@ -302,8 +357,8 @@ fi
 SAFE_CONTENT="$CONTENT"
 # Policy-driven PII masking (source of truth: pii-rules.yaml). Built-in sed
 # masking below remains as defense-in-depth if the policy file is unavailable.
-if [[ -f "$SECURITY_DIR/pii-rules.yaml" ]] && command -v python >/dev/null 2>&1; then
+if [[ -f "$SECURITY_DIR/pii-rules.yaml" ]] && [[ -n "$PYTHON_BIN" ]]; then
-  SAFE_CONTENT="$(printf '%s' "$SAFE_CONTENT" | python "$SCRIPT_DIR/pii-mask.py" "$SECURITY_DIR/pii-rules.yaml")"
+  SAFE_CONTENT="$(printf '%s' "$SAFE_CONTENT" | "$PYTHON_BIN" "$SCRIPT_DIR/pii-mask.py" "$SECURITY_DIR/pii-rules.yaml")"
 fi
 SAFE_CONTENT="$(printf '%s' "$SAFE_CONTENT" | sed -E "s/$EMAIL_REGEX/***MASKED_EMAIL***/g")"
 SAFE_CONTENT="$(printf '%s' "$SAFE_CONTENT" | sed -E "s/$PHONE_REGEX/***MASKED_PHONE***/g")"
@@ -333,7 +388,7 @@ fi
 
 INPUT_HASH="$(printf '%s' "$CONTENT" | hash_text)"
 OUTPUT_HASH="$(printf '%s' "$SAFE_CONTENT" | hash_text)"
-RULES_JSON="$(printf '%s\n' "${MATCHED_RULES[@]:-}" | python -c 'import json,sys; print(json.dumps([x for x in sys.stdin.read().splitlines() if x]))')"
+RULES_JSON="$(printf '%s\n' "${MATCHED_RULES[@]:-}" | "$PYTHON_BIN" -c 'import json,sys; print(json.dumps([x for x in sys.stdin.read().splitlines() if x]))')"
 
 TRACE_FILE="$TRACE_DIR/security-$TRACE_ID.json"
 cat > "$TRACE_FILE" <<EOF

packages/casan-harness/tests/goal-orchestrator-fallback-tests.py

@@ -26,6 +26,15 @@ def job_file(directory):
 
 
 class ReviewerFallbackTests(unittest.TestCase):
+    def setUp(self):
+        # Production enables route preflight. Individual tests opt in explicitly
+        # so cached/live provider health cannot affect deterministic unit tests.
+        self.environment = patch.dict(
+            os.environ, {"CASAN_GOAL_MODEL_PREFLIGHT": "0"}, clear=False,
+        )
+        self.environment.start()
+        self.addCleanup(self.environment.stop)
+
     def test_account_then_omniroute_then_local_and_persists_ledger(self):
         calls = []
 
@@ -115,6 +124,78 @@ class ReviewerFallbackTests(unittest.TestCase):
         self.assertEqual(calls, ["openai:gpt", "openai-compatible:route-a", "ollama:local"])
         self.assertFalse(job["reviewer_attempts"][0]["retryable"])
 
+    def test_patch_reviewer_excludes_h2_model_and_receives_full_output_budget(self):
+        calls = []
+
+        def model(model, prompt, cloud, timeout, max_output_tokens=None):
+            calls.append((model, max_output_tokens))
+            return True, "reviewed patch", {}, "ok"
+
+        environment = {
+            "CASAN_GOAL_OMNIROUTE_MODELS": "route-a",
+            "CASAN_GOAL_REVIEWER_MAX_ATTEMPTS": "3",
+            "CASAN_GOAL_REVIEWER_DEADLINE_SEC": "30",
+        }
+        with tempfile.TemporaryDirectory() as directory, patch.dict(os.environ, environment, clear=False), patch.object(MODULE, "call_model", model):
+            path = job_file(directory)
+            ok, _, _, _, reviewer = MODULE.run_reviewer_chain(
+                path, "prompt", "", "openai:gpt-worker", "ollama:local",
+                max_output_tokens=8192, excluded_models={"openai:gpt-worker"},
+            )
+
+        self.assertTrue(ok)
+        self.assertEqual(reviewer["model"], "openai-compatible:route-a")
+        self.assertEqual(calls, [("openai-compatible:route-a", 8192)])
+
+    def test_local_reviewer_can_be_disabled_when_human_approval_is_available(self):
+        calls = []
+
+        def model(model, prompt, cloud, timeout):
+            calls.append(model)
+            return False, "", {}, "gateway_unavailable"
+
+        environment = {
+            "CASAN_GOAL_OMNIROUTE_MODELS": "route-a",
+            "CASAN_GOAL_ENABLE_LOCAL_REVIEWER": "0",
+            "CASAN_GOAL_REVIEWER_MAX_ATTEMPTS": "3",
+            "CASAN_GOAL_REVIEWER_DEADLINE_SEC": "30",
+        }
+        with tempfile.TemporaryDirectory() as directory, patch.dict(os.environ, environment, clear=False), patch.object(MODULE, "call_model", model):
+            path = job_file(directory)
+            ok, _, _, reason, _ = MODULE.run_reviewer_chain(path, "prompt", "", "", "ollama:ornith:9b")
+
+        self.assertFalse(ok)
+        self.assertEqual(reason, "gateway_unavailable")
+        self.assertEqual(calls, ["openai-compatible:route-a"])
+
+    def test_patch_reviewer_skips_unhealthy_route_before_full_generation(self):
+        calls = []
+
+        def model(model, prompt, cloud, timeout, max_output_tokens=None):
+            calls.append(model)
+            return True, "reviewed", {}, "ok"
+
+        environment = {
+            "CASAN_GOAL_OMNIROUTE_MODELS": "route-b",
+            "CASAN_GOAL_ENABLE_LOCAL_REVIEWER": "0",
+            "CASAN_GOAL_REVIEWER_MAX_ATTEMPTS": "3",
+            "CASAN_GOAL_REVIEWER_DEADLINE_SEC": "30",
+        }
+        with tempfile.TemporaryDirectory() as directory, patch.dict(os.environ, environment, clear=False), \
+                patch.object(MODULE, "model_preflight", side_effect=[(False, "gateway_503"), (True, "ok")]), \
+                patch.object(MODULE, "call_model", model):
+            path = job_file(directory)
+            ok, _, _, _, reviewer = MODULE.run_reviewer_chain(
+                path, "prompt", "", "openai-compatible:route-a", "ollama:ornith:9b", max_output_tokens=8192,
+            )
+            with open(path, encoding="utf-8") as handle:
+                job = json.load(handle)
+
+        self.assertTrue(ok)
+        self.assertEqual(reviewer["model"], "openai-compatible:route-b")
+        self.assertEqual(calls, ["openai-compatible:route-b"])
+        self.assertIn("model_preflight_failed", job["reviewer_attempts"][0]["reason"])
+
 
 if __name__ == "__main__":
     unittest.main()

packages/casan-harness/tests/goal-patch-workflow-tests.py

@@ -29,9 +29,79 @@ class Result:
 
 
 class GoalPatchWorkflowTests(unittest.TestCase):
+    def setUp(self):
+        # Keep unit tests independent from production route-health settings.
+        # Tests that exercise preflight mock model_preflight explicitly.
+        self.environment = patch.dict(
+            os.environ, {"CASAN_GOAL_MODEL_PREFLIGHT": "0"}, clear=False,
+        )
+        self.environment.start()
+        self.addCleanup(self.environment.stop)
+
     def test_vietnamese_completion_goal_is_write_intent(self):
         self.assertTrue(ORCHESTRATOR.requests_side_effect("Hoàn thành component KeyResultDetail với form update progress đầy đủ"))
 
+    def test_phase_labeled_backend_completion_is_write_intent(self):
+        objective = """PHASE 1 — Hoàn thiện backend Objective và Key Result cho ứng dụng OKR.
+
+        Chỉ làm việc trong phạm vi apps/okr/backend.
+        Tạo patch nhưng không tự apply. Chờ Independent Reviewer phê duyệt.
+        """
+        self.assertTrue(ORCHESTRATOR.requests_side_effect(objective))
+
+    def test_read_only_backend_audit_is_not_write_intent(self):
+        objective = "Rà soát backend và liệt kê các file có rủi ro. Không sửa code, không tạo patch."
+        self.assertFalse(ORCHESTRATOR.requests_side_effect(objective))
+
+    def test_scoped_negative_constraint_does_not_cancel_write_intent(self):
+        objective = """Hoàn thiện tính nguyên tử của luồng cập nhật tiến độ Key Result trong ứng dụng OKR.
+
+        Không thay đổi API contract. Chỉ trả về unified git diff và chờ Independent Reviewer phê duyệt.
+        """
+        self.assertTrue(ORCHESTRATOR.requests_side_effect(objective))
+
+    def test_valid_worker_patch_still_reaches_human_approval_when_h3_is_unavailable(self):
+        diff = "diff --git a/apps/okr/backend/a.ts b/apps/okr/backend/a.ts\n--- a/apps/okr/backend/a.ts\n+++ b/apps/okr/backend/a.ts\n@@ -1 +1 @@\n-a\n+b\n"
+        manifest = {"file_count": 1, "characters": 10, "truncated": False, "bundle_sha256": "context-sha"}
+        artifact = {"path": ".specify/state/goals/default/job.patch", "sha256": "patch-sha", "files": ["apps/okr/backend/a.ts"], "status": "awaiting_approval"}
+        with tempfile.TemporaryDirectory() as directory:
+            path = os.path.join(directory, "job.json")
+            with open(path, "w", encoding="utf-8") as handle:
+                json.dump({
+                    "id": "goal-1", "goal": "Hoàn thiện backend nhưng không thay đổi API contract.",
+                    "project": "AINative_OKR_CASAN4", "actor": "owner", "local_provider": "ollama",
+                    "cloud_provider": "omniroute", "workspace": {"context_roots": ["apps/okr/backend"]},
+                    "stages": [],
+                }, handle)
+            with (
+                patch.dict(os.environ, {"CASAN_GOAL_LOCAL_MODEL": "ollama:worker", "CASAN_GOAL_CLOUD_MODEL": "openai-compatible:reviewer"}, clear=False),
+                patch.object(ORCHESTRATOR, "scan", side_effect=lambda text, mode: (True, text)),
+                patch.object(ORCHESTRATOR, "build_context", return_value=("snapshot", manifest, "manifest.json")),
+                patch.object(ORCHESTRATOR, "call_model", return_value=(True, diff, {}, "ok")),
+                patch.object(ORCHESTRATOR, "validate_write_output", return_value=diff),
+                patch.object(ORCHESTRATOR, "run_reviewer_chain", return_value=(False, "", {}, "model_output_empty", {"provider": "ollama", "model": "ollama:worker"})),
+                patch.object(ORCHESTRATOR, "validate_and_store_patch", return_value=artifact),
+                patch.object(ORCHESTRATOR, "submit_side_effect", return_value={"id": "AP-1", "status": "pending", "action": "goal.workspace.execute"}),
+                patch.object(ORCHESTRATOR, "emit"), patch.object(ORCHESTRATOR, "metric"),
+                patch.object(ORCHESTRATOR, "audit", return_value="audit-sha"),
+            ):
+                exit_code = ORCHESTRATOR.run(path)
+            with open(path, encoding="utf-8") as handle:
+                job = json.load(handle)
+        self.assertEqual(exit_code, 0)
+        self.assertEqual(job["status"], "requires_approval")
+        self.assertEqual(job["approval"]["id"], "AP-1")
+        self.assertIn("Automated H3 review was unavailable", job["result"])
+        self.assertNotIn("independently reviewed", job["result"])
+
+    def test_source_code_delete_method_is_not_promoted_to_security_block(self):
+        source = "export class Service { async delete(id: number) { return this.repo.delete({ where: { id } }); } }"
+        with tempfile.TemporaryDirectory() as directory, \
+                patch.dict(os.environ, {"CASAN_STATE_ROOT": directory, "CASAN_SECURITY_STRICT": "0"}, clear=False):
+            allowed, safe_source = ORCHESTRATOR.scan(source, "input")
+        self.assertTrue(allowed)
+        self.assertIn("repo.delete", safe_source)
+
     def test_extract_patch_requires_unified_diff(self):
         with self.assertRaisesRegex(ValueError, "goal_patch_missing"):
             ORCHESTRATOR.extract_patch("implementation plan only")
@@ -60,6 +130,31 @@ class GoalPatchWorkflowTests(unittest.TestCase):
         self.assertIn("@@ -1,1 +1,1 @@", normalized)
         self.assertEqual(check.call_count, 2)
 
+    def test_patch_fragment_error_triggers_deterministic_hunk_recount(self):
+        wrong_counts = (
+            "diff --git a/a b/a\n--- a/a\n+++ b/a\n"
+            "@@ -1,5 +1,5 @@\n-old\n+new\n"
+            "@@ -10,7 +10,7 @@\n-tail-old\n+tail-new\n"
+        )
+        with patch.object(
+            ORCHESTRATOR,
+            "validate_patch_check",
+            side_effect=[ValueError("goal_patch_check_failed:error: patch fragment without header at line 7: @@ -10,7 +10,7 @@"), None],
+        ) as check:
+            normalized = ORCHESTRATOR.validate_write_output(wrong_counts)
+        self.assertIn("@@ -1,1 +1,1 @@", normalized)
+        self.assertIn("@@ -10,1 +10,1 @@", normalized)
+        self.assertEqual(check.call_count, 2)
+
+    def test_patch_fragment_error_adds_recount_instruction_to_model_repair(self):
+        with (
+            patch.dict(os.environ, {"CASAN_GOAL_PATCH_REPAIR_ATTEMPTS": "1", "CASAN_GOAL_PATCH_REPAIR_MODELS": "openai:gpt"}, clear=False),
+            patch.object(ORCHESTRATOR, "model_preflight", return_value=(True, "ok")),
+            patch.object(ORCHESTRATOR, "call_model", return_value=(False, "", {}, "stopped")) as call,
+        ):
+            ORCHESTRATOR.repair_write_output("openai:gpt", "original", "invalid", "goal_patch_check_failed:patch fragment without header")
+        self.assertIn("Recompute every `@@ -old,count +new,count @@` header", call.call_args.args[1])
+
     def test_truncated_replacement_is_not_reinterpreted_as_deletion(self):
         truncated = "diff --git a/a b/a\n--- a/a\n+++ b/a\n@@ -1,1 +1,1 @@\n-old\n"
         self.assertEqual(ORCHESTRATOR.normalize_unified_diff(truncated), truncated)
@@ -80,6 +175,50 @@ class GoalPatchWorkflowTests(unittest.TestCase):
         self.assertEqual(manifest["files"][0]["characters"], len(raw.strip()))
         self.assertFalse(manifest["files"][0]["truncated"])
 
+    def test_explicit_scope_paths_rank_source_ahead_of_general_architecture(self):
+        project = ORCHESTRATOR.registered_project("AINative_OKR_CASAN4")
+        objective = """PHASE 1 — Hoàn thiện backend Objective và Key Result.
+        Nguồn sự thật:
+        - docs/technical_architecture.md
+        - apps/okr/domain/input/okr-requirement.md
+        Chỉ làm việc trong:
+        - apps/okr/backend/src/objectives/**
+        - apps/okr/backend/src/key-results/**
+        - apps/okr/backend/prisma/schema.prisma
+        Tạo patch nhưng không tự apply.
+        """
+        ranked = ORCHESTRATOR.context_candidates(project, objective)
+        top_paths = [row[1] for row in ranked[:10]]
+        self.assertTrue(any(path.startswith("apps/okr/backend/src/objectives/") for path in top_paths))
+        self.assertTrue(any(path.startswith("apps/okr/backend/src/key-results/") for path in top_paths))
+        self.assertIn("apps/okr/backend/prisma/schema.prisma", top_paths)
+        self.assertNotIn("docs/technical_architecture.md", top_paths)
+        self.assertNotIn("apps/okr/domain/input/okr-requirement.md", top_paths)
+
+    def test_explicit_only_scope_excludes_unrequested_context_files(self):
+        goal = """Hoàn thiện backend.
+        Chỉ được đọc và thay đổi:
+        apps/okr/backend/src/key-results/key-results.service.ts
+        apps/okr/backend/test/services.test.ts
+        Không sửa bất kỳ file nào khác.
+        """
+        candidates = [
+            (2000, "apps/okr/backend/src/key-results/key-results.service.ts", "service"),
+            (2000, "apps/okr/backend/test/services.test.ts", "tests"),
+            (50, "apps/okr/backend/src/objectives/objectives.service.ts", "unrequested"),
+        ]
+        project = {"domain": "OKR", "domain_root": "apps/okr", "roots": []}
+        with tempfile.TemporaryDirectory() as directory, \
+                patch.object(ORCHESTRATOR, "registered_project", return_value=project), \
+                patch.object(ORCHESTRATOR, "context_candidates", return_value=candidates), \
+                patch.object(ORCHESTRATOR, "scan", side_effect=lambda text, mode: (True, text)):
+            bundle, manifest, _ = ORCHESTRATOR.build_context(os.path.join(directory, "goal.json"), "okr", goal, True)
+        self.assertEqual([row["path"] for row in manifest["files"]], [
+            "apps/okr/backend/src/key-results/key-results.service.ts",
+            "apps/okr/backend/test/services.test.ts",
+        ])
+        self.assertNotIn("unrequested", bundle)
+
     def test_invalid_write_output_gets_one_bounded_repair_attempt(self):
         repaired = "```diff\ndiff --git a/apps/okr/frontend/a.ts b/apps/okr/frontend/a.ts\n--- a/apps/okr/frontend/a.ts\n+++ b/apps/okr/frontend/a.ts\n@@ -1 +1 @@\n-a\n+b\n```"
         with patch.dict(os.environ, {"CASAN_GOAL_PATCH_REPAIR_ATTEMPTS": "1"}, clear=False), \
@@ -114,6 +253,53 @@ class GoalPatchWorkflowTests(unittest.TestCase):
         self.assertEqual(call.call_args.args[0], "openai:gpt-4o-mini")
         self.assertEqual(call.call_args.kwargs["max_output_tokens"], ORCHESTRATOR.patch_output_tokens())
 
+    def test_repair_skips_model_that_fails_generation_preflight(self):
+        repaired = "diff --git a/apps/okr/frontend/a.ts b/apps/okr/frontend/a.ts\n--- a/apps/okr/frontend/a.ts\n+++ b/apps/okr/frontend/a.ts\n@@ -1 +1 @@\n-a\n+b\n"
+        with (
+            patch.dict(os.environ, {"CASAN_GOAL_PATCH_REPAIR_ATTEMPTS": "2", "CASAN_GOAL_PATCH_REPAIR_MODELS": "openai-compatible:auto/coding,ollama:ornith:9b"}, clear=False),
+            patch.object(ORCHESTRATOR, "model_preflight", side_effect=[(False, "gateway_503"), (True, "ok")]),
+            patch.object(ORCHESTRATOR, "call_model", return_value=(True, repaired, {}, "ok")) as call,
+            patch.object(ORCHESTRATOR, "validate_write_output", return_value=repaired),
+        ):
+            ok, _, usage, reason = ORCHESTRATOR.repair_write_output("ollama:ornith:9b", "original", "invalid")
+        self.assertTrue(ok)
+        self.assertEqual(reason, "ok")
+        self.assertEqual(call.call_count, 1)
+        self.assertEqual(call.call_args.args[0], "ollama:ornith:9b")
+        self.assertIn("model_preflight_failed", usage["repair_attempts"][0]["reason"])
+
+    def test_logged_in_account_worker_is_first_patch_repair_candidate(self):
+        repaired = "diff --git a/apps/okr/frontend/a.ts b/apps/okr/frontend/a.ts\n--- a/apps/okr/frontend/a.ts\n+++ b/apps/okr/frontend/a.ts\n@@ -1 +1 @@\n-a\n+b\n"
+        with (
+            patch.dict(os.environ, {"CASAN_GOAL_PATCH_REPAIR_ATTEMPTS": "2", "CASAN_GOAL_PATCH_REPAIR_MODELS": "openai-compatible:auto/coding,ollama:ornith:9b"}, clear=False),
+            patch.object(ORCHESTRATOR, "model_preflight", return_value=(True, "ok")),
+            patch.object(ORCHESTRATOR, "call_account_model", return_value=(True, repaired, {}, "ok")) as account_call,
+            patch.object(ORCHESTRATOR, "call_model") as routed_call,
+            patch.object(ORCHESTRATOR, "validate_write_output", return_value=repaired),
+        ):
+            ok, _, usage, reason = ORCHESTRATOR.repair_write_output("account:codex", "original", "invalid")
+        self.assertTrue(ok)
+        self.assertEqual(reason, "ok")
+        self.assertEqual(account_call.call_args.args[0], "codex")
+        routed_call.assert_not_called()
+        self.assertEqual(usage["repair_attempts"][0]["provider"], "codex-account")
+
+    def test_account_codex_gets_corrective_pass_before_other_routes(self):
+        repaired = "diff --git a/apps/okr/frontend/a.ts b/apps/okr/frontend/a.ts\n--- a/apps/okr/frontend/a.ts\n+++ b/apps/okr/frontend/a.ts\n@@ -1 +1 @@\n-a\n+b\n"
+        with (
+            patch.dict(os.environ, {"CASAN_GOAL_PATCH_REPAIR_ATTEMPTS": "3", "CASAN_GOAL_PATCH_REPAIR_MODELS": "openai-compatible:auto/coding,ollama:ornith:9b"}, clear=False),
+            patch.object(ORCHESTRATOR, "model_preflight", return_value=(True, "ok")),
+            patch.object(ORCHESTRATOR, "call_account_model", side_effect=[(True, "corrupt", {}, "ok"), (True, repaired, {}, "ok")]) as account_call,
+            patch.object(ORCHESTRATOR, "call_model") as routed_call,
+            patch.object(ORCHESTRATOR, "validate_write_output", side_effect=[ValueError("goal_patch_check_failed:patch fragment without header"), repaired]),
+        ):
+            ok, _, usage, reason = ORCHESTRATOR.repair_write_output("account:codex", "original", "invalid")
+        self.assertTrue(ok)
+        self.assertEqual(reason, "ok")
+        self.assertEqual(account_call.call_count, 2)
+        routed_call.assert_not_called()
+        self.assertEqual([row["model"] for row in usage["repair_attempts"]], ["account:codex", "account:codex"])
+
     def test_repair_tries_next_stronger_candidate_when_first_patch_is_corrupt(self):
         repaired = "diff --git a/apps/okr/frontend/a.ts b/apps/okr/frontend/a.ts\n--- a/apps/okr/frontend/a.ts\n+++ b/apps/okr/frontend/a.ts\n@@ -1 +1 @@\n-a\n+b\n"
         with (
@@ -178,6 +364,16 @@ class GoalPatchWorkflowTests(unittest.TestCase):
             with self.assertRaisesRegex(ValueError, "goal_patch_outside_workspace"):
                 ORCHESTRATOR.validate_and_store_patch(path, job, content)
 
+    def test_patch_outside_explicit_file_scope_is_denied(self):
+        job = {
+            "goal": "Chỉ được đọc và thay đổi:\napps/okr/backend/allowed.ts\nKhông sửa bất kỳ file nào khác.",
+            "workspace": {"context_roots": ["apps/okr/backend"]},
+        }
+        content = "diff --git a/apps/okr/backend/other.ts b/apps/okr/backend/other.ts\n--- a/apps/okr/backend/other.ts\n+++ b/apps/okr/backend/other.ts\n@@ -1 +1 @@\n-a\n+b\n"
+        with tempfile.TemporaryDirectory() as directory:
+            with self.assertRaisesRegex(ValueError, "goal_patch_outside_workspace"):
+                ORCHESTRATOR.validate_and_store_patch(os.path.join(directory, "job.json"), job, content)
+
     def test_patch_rename_source_outside_workspace_is_denied(self):
         job = {"workspace": {"context_roots": ["apps/okr/frontend"]}}
         content = "diff --git a/package.json b/apps/okr/frontend/package.json\nsimilarity index 100%\nrename from package.json\nrename to apps/okr/frontend/package.json\n"
@@ -199,9 +395,20 @@ class GoalPatchWorkflowTests(unittest.TestCase):
 
     def test_frontend_patch_runs_build_and_tests(self):
         commands = EXECUTOR.verification_commands(["apps/okr/frontend/src/pages/KeyResultDetail.tsx"])
+        self.assertFalse(any(command[:2] == ["git", "diff"] for command in commands))
         self.assertIn(["npm", "run", "build", "-w", "@ainative-okr/frontend"], commands)
         self.assertIn(["npm", "test", "-w", "@ainative-okr/frontend"], commands)
 
+    def test_executor_can_retry_only_a_verified_rollback_failure(self):
+        artifact = {"path": "job.patch"}
+        self.assertTrue(EXECUTOR.ready_for_apply({"status": "requires_approval", "patch_artifact": artifact}))
+        self.assertTrue(EXECUTOR.ready_for_apply({
+            "status": "failed",
+            "error": "GOAL_APPLY_VERIFICATION_FAILED_ROLLED_BACK",
+            "patch_artifact": artifact,
+        }))
+        self.assertFalse(EXECUTOR.ready_for_apply({"status": "failed", "error": "OTHER", "patch_artifact": artifact}))
+
     def test_service_desk_patch_uses_service_desk_manifest_commands(self):
         commands = EXECUTOR.verification_commands(["apps/service-desk/src/ticket.js"])
         self.assertIn(["node", "--check", "apps/service-desk/src/ticket.js"], commands)

tmp/control-panel-local/auth-bridge/model-audit.jsonl

@@ -16,3 +16,10 @@
 {"timestamp": "2026-07-18T05:20:08Z", "provider": "codex", "status": "success", "prompt_hash": "4df9515b74f7155effd0194c68c80dcb0288522afed800be3ee36ea28f8f7bd2", "prompt_characters": 8827, "latency_ms": 9374}
 {"timestamp": "2026-07-18T06:43:49Z", "provider": "codex", "status": "prompt_length_invalid", "prompt_hash": "35693f959c55dc585831ed44a715be2a34e5b072480fb07c6c6fe85602bfd89a", "prompt_characters": 30549, "latency_ms": 0}
 {"timestamp": "2026-07-18T06:47:26Z", "provider": "codex", "status": "prompt_length_invalid", "prompt_hash": "2e9a89a9d9afa26d96fa1ffef84cbcf76279e0b7cc69afa569e3198f508dd071", "prompt_characters": 30908, "latency_ms": 0}
+{"timestamp": "2026-07-18T15:36:19Z", "provider": "codex", "status": "success", "prompt_hash": "91f089026b31117023d356636e9642f200a2d90a5721bab6e7b286cf60f1a462", "prompt_characters": 120, "latency_ms": 16116}
+{"timestamp": "2026-07-18T15:38:46Z", "provider": "codex", "status": "success", "prompt_hash": "c1416254e31b9fed991bdbfa5bf18700c5dab258909344f86719b62fb5a8f26b", "prompt_characters": 207, "latency_ms": 6469}
+{"timestamp": "2026-07-18T15:39:50Z", "provider": "codex", "status": "success", "prompt_hash": "b62566e3fe31ae61e416d99627cd553339ed5e9943f0086dc293dd453f27d1a4", "prompt_characters": 22099, "latency_ms": 63836}
+{"timestamp": "2026-07-18T15:42:50Z", "provider": "codex", "status": "success", "prompt_hash": "5aba8aa1495f0e4761a91ed038df4c0d911ee263238a6b69b9e103e51f1a8a0a", "prompt_characters": 22155, "latency_ms": 73955}
+{"timestamp": "2026-07-18T15:42:50Z", "provider": "codex", "status": "prompt_length_invalid", "prompt_hash": "90baacbab43a8860bea72914e447b752808f86faaee3086ea7e200aa999ff40b", "prompt_characters": 30755, "latency_ms": 0}
+{"timestamp": "2026-07-18T16:14:42Z", "provider": "codex", "status": "prompt_length_invalid", "prompt_hash": "44e861ae34aead72b7078884ec3de81a1a063fe28baf763042075f41a41815f6", "prompt_characters": 27302, "latency_ms": 0}
+{"timestamp": "2026-07-18T16:20:24Z", "provider": "codex", "status": "prompt_length_invalid", "prompt_hash": "324f4c2bf8e981127e87a220801491eeaacad31101778bac1d7bf84db8c5ba8a", "prompt_characters": 27302, "latency_ms": 0}