AI MODELS & final updates - feat: Implement AI Model Configuration with dynamic pricing and REST API

- Added AIModelConfig model to manage AI model configurations in the database.
- Created serializers and views for AI model configurations, enabling read-only access via REST API.
- Implemented filtering capabilities for model type, provider, and default status in the API.
- Seeded initial data for text and image models, including pricing and capabilities.
- Updated Django Admin interface for managing AI models with enhanced features and bulk actions.
- Added validation methods for model and image size checks.
- Comprehensive migration created to establish the AIModelConfig model and seed initial data.
- Documented implementation and validation results in summary and report files.

backend/igny8_core/ai/validators.py

@@ -135,7 +135,7 @@ def validate_api_key(api_key: Optional[str], integration_type: str = 'openai') -
 
 def validate_model(model: str, model_type: str = 'text') -> Dict[str, Any]:
     """
-    Validate that model is in supported list.
+    Validate that model is in supported list using database.
     
     Args:
         model: Model name to validate
@@ -144,27 +144,59 @@ def validate_model(model: str, model_type: str = 'text') -> Dict[str, Any]:
     Returns:
         Dict with 'valid' (bool) and optional 'error' (str)
     """
-    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}
+    try:
+        # Try database first
+        from igny8_core.business.billing.models import AIModelConfig
+        
+        exists = AIModelConfig.objects.filter(
+            model_name=model,
+            model_type=model_type,
+            is_active=True
+        ).exists()
+        
+        if not exists:
+            # Get available models for better error message
+            available = list(AIModelConfig.objects.filter(
+                model_type=model_type,
+                is_active=True
+            ).values_list('model_name', flat=True))
+            
+            if available:
+                return {
+                    'valid': False,
+                    'error': f'Model "{model}" is not active or not found. Available {model_type} models: {", ".join(available)}'
+                }
+            else:
+                return {
+                    'valid': False,
+                    'error': f'Model "{model}" is not found 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}
 
 
 def validate_image_size(size: str, model: str) -> Dict[str, Any]:
     """
-    Validate that image size is valid for the selected model.
+    Validate that image size is valid for the selected model using database.
     
     Args:
         size: Image size (e.g., '1024x1024')
@@ -173,14 +205,40 @@ def validate_image_size(size: str, model: str) -> Dict[str, Any]:
     Returns:
         Dict with 'valid' (bool) and optional 'error' (str)
     """
-    from .constants import VALID_SIZES_BY_MODEL
-    
-    valid_sizes = VALID_SIZES_BY_MODEL.get(model, [])
-    if size not in valid_sizes:
-        return {
-            'valid': False,
-            'error': f'Image size "{size}" is not valid for model "{model}". Valid sizes are: {", ".join(valid_sizes)}'
-        }
-    
-    return {'valid': True}
+    try:
+        # Try database first
+        from igny8_core.business.billing.models import AIModelConfig
+        
+        model_config = AIModelConfig.objects.filter(
+            model_name=model,
+            model_type='image',
+            is_active=True
+        ).first()
+        
+        if model_config:
+            if not model_config.validate_size(size):
+                valid_sizes = model_config.valid_sizes or []
+                return {
+                    'valid': False,
+                    'error': f'Image size "{size}" is not valid for model "{model}". Valid sizes are: {", ".join(valid_sizes)}'
+                }
+            return {'valid': True}
+        else:
+            return {
+                'valid': False,
+                'error': f'Image model "{model}" not found in database'
+            }
+            
+    except Exception:
+        # Fallback to constants if database fails
+        from .constants import VALID_SIZES_BY_MODEL
+        
+        valid_sizes = VALID_SIZES_BY_MODEL.get(model, [])
+        if size not in valid_sizes:
+            return {
+                'valid': False,
+                'error': f'Image size "{size}" is not valid for model "{model}". Valid sizes are: {", ".join(valid_sizes)}'
+            }
+        
+        return {'valid': True}