django admin Groups reorg, Frontend udpates for site settings, #Migration runs

backend/igny8_core/ai/validators.py

@@ -145,7 +145,7 @@ def validate_model(model: str, model_type: str = 'text') -> Dict[str, Any]:
         Dict with 'valid' (bool) and optional 'error' (str)
     """
     try:
-        # Try database first
+        # Use database-driven validation via AIModelConfig
         from igny8_core.business.billing.models import AIModelConfig
         
         exists = AIModelConfig.objects.filter(
@@ -169,29 +169,20 @@ def validate_model(model: str, model_type: str = 'text') -> Dict[str, Any]:
             else:
                 return {
                     'valid': False,
-                    'error': f'Model "{model}" is not found in database'
+                    'error': f'No {model_type} models configured in database'
                 }
         
         return {'valid': True}
         
-    except Exception:
-        # Fallback to constants if database fails
-        from .constants import MODEL_RATES, VALID_OPENAI_IMAGE_MODELS
-        
-        if model_type == 'text':
-            if model not in MODEL_RATES:
-                return {
-                    'valid': False,
-                    'error': f'Model "{model}" is not in supported models list'
-                }
-        elif model_type == 'image':
-            if model not in VALID_OPENAI_IMAGE_MODELS:
-                return {
-                    'valid': False,
-                    'error': f'Model "{model}" is not valid for OpenAI image generation. Only {", ".join(VALID_OPENAI_IMAGE_MODELS)} are supported.'
-                }
-        
-        return {'valid': True}
+    except Exception as e:
+        # Log error but don't fallback to constants - DB is authoritative
+        import logging
+        logger = logging.getLogger(__name__)
+        logger.error(f"Error validating model {model}: {e}")
+        return {
+            'valid': False,
+            'error': f'Error validating model: {e}'
+        }
 
 
 def validate_image_size(size: str, model: str) -> Dict[str, Any]: