fix(agents): align reports with controlled autonomy

apps/api/src/services/ai_technology_report_cadence_readback.py

@@ -58,8 +58,10 @@ def load_latest_ai_technology_report_cadence_readback(
         raise ValueError(f"{snapshot_path}: unsafe policy flags: {forbidden_true}")
     if policy.get("read_only") is not True:
         raise ValueError(f"{snapshot_path}: read_only policy must be true")
-    if policy.get("high_risk_owner_review_required") is not True:
-        raise ValueError(f"{snapshot_path}: high risk owner review must remain required")
+    if policy.get("high_risk_owner_review_required") is not False:
+        raise ValueError(f"{snapshot_path}: high risk owner review must remain disabled")
+    if policy.get("low_medium_high_controlled_auto_route_enabled") is not True:
+        raise ValueError(f"{snapshot_path}: low/medium/high controlled auto route must remain enabled")
 
     summary = payload.get("summary") or {}
     zero_fields = [

apps/api/src/services/failure_watcher.py

@@ -526,7 +526,7 @@ class FailureWatcherService(IFailureWatcher):
 
         規則:
         - 同一資源 5 分鐘內最多修復 3 次
-        - 超過則升級為 MEDIUM 風險，請求人工授權
+        - 超過則升級為 MEDIUM 風險，排入 AI 受控重試 / rollback / verifier
 
         Returns:
             True 如果可以自動修復，False 如果超過限制
@@ -672,7 +672,7 @@ class FailureWatcherService(IFailureWatcher):
             return "clear_cache"
 
         if any(kw in action_lower for kw in ["scale", "擴展", "增加"]):
-            return "scale_up"  # 需人工授權
+            return "scale_up"  # 交由受控策略檢查副本上下限與回滾
 
         # 無法自動執行，返回原始建議
         return recommended_action[:50]
@@ -719,7 +719,7 @@ class FailureWatcherService(IFailureWatcher):
         analysis: dict,
         reason: str,
     ) -> None:
-        """請求人工授權 (推送到 Telegram + 前端)"""
+        """排入 AI 受控修復後續 (推送到 Telegram + 前端)"""
         try:
             # 推送到 Redis (前端 WebSocket 訂閱)
             redis = get_redis()