feat: add governed nationwide AOI orchestration and CUDA enforcement

backend/app/services/model_registry_service.py

@@ -10,6 +10,7 @@ from app.services.segmentation_adapter import (
     YoloSegmentationAdapter,
 )
 from app.services.yolo_adapter import YoloDetectionAdapter
+from app.core.errors import AppError
 
 
 class ModelRegistryService:
@@ -224,16 +225,24 @@ class ModelRegistryService:
             elif not model_path.exists() or not model_path.is_file():
                 limitation = "YOLO_MODEL_PATH does not point to an existing local model file. GeoIntel will not download model weights automatically."
             else:
-                configured = True
-                status = "configured"
-                limitation = "Configured for local YOLO inference over an existing raster tile manifest."
+                try:
+                    validate_runtime = getattr(yolo_adapter_class, "validate_runtime", None)
+                    if validate_runtime is not None:
+                        yolo_adapter_class(settings).validate_runtime()
+                except AppError as exc:
+                    status = "accelerator_unavailable"
+                    limitation = exc.message
+                else:
+                    configured = True
+                    status = "configured"
+                    limitation = "Configured for local YOLO inference over an existing raster tile manifest within its validated area scope."
 
         return DetectionModelCapability(
             model_id=settings.yolo_model_id,
             display_name=settings.yolo_model_display_name,
             framework="ultralytics/pytorch",
             task_type="object_detection",
-            supported_classes=["building", "road", "water", "landuse"],
+            supported_classes=[value.strip().lower() for value in settings.yolo_model_classes.split(",") if value.strip()],
             configured=configured,
             status=status,
             limitation_message=limitation,