Add Linker and Optimizer modules with API integration and frontend components

- Added Linker and Optimizer apps to `INSTALLED_APPS` in `settings.py`.
- Configured API endpoints for Linker and Optimizer in `urls.py`.
- Implemented `OptimizeContentFunction` for content optimization in the AI module.
- Created prompts for content optimization and site structure generation.
- Updated `OptimizerService` to utilize the new AI function for content optimization.
- Developed frontend components including dashboards and content lists for Linker and Optimizer.
- Integrated new routes and sidebar navigation for Linker and Optimizer in the frontend.
- Enhanced content management with source and sync status filters in the Writer module.
- Comprehensive test coverage added for new features and components.

backend/igny8_core/business/optimization/services/optimizer_service.py

@@ -176,8 +176,7 @@ class OptimizerService:
     
     def _optimize_content(self, content: Content, scores_before: dict) -> Content:
         """
-        Internal method to optimize content.
-        This is a placeholder - in production, this would call the AI function.
+        Internal method to optimize content using AI function.
         
         Args:
             content: Content to optimize
@@ -186,14 +185,30 @@ class OptimizerService:
         Returns:
             Optimized Content instance
         """
-        # For now, return content as-is
-        # In production, this would:
-        # 1. Call OptimizeContentFunction AI function
-        # 2. Get optimized HTML
-        # 3. Update content
+        from igny8_core.ai.engine import AIEngine
+        from igny8_core.ai.registry import get_function_instance
+        
+        # Prepare payload for AI function
+        payload = {
+            'ids': [content.id],
+        }
+        
+        # Get function from registry
+        fn = get_function_instance('optimize_content')
+        if not fn:
+            raise ValueError("OptimizeContentFunction not found in registry")
+        
+        # Execute AI function
+        ai_engine = AIEngine(account=content.account)
+        result = ai_engine.execute(fn, payload)
+        
+        if not result.get('success'):
+            raise ValueError(f"Optimization failed: {result.get('error', 'Unknown error')}")
+        
+        # The AI function's save_output method already updates the content
+        # We just need to refresh from database to get the updated content
+        content.refresh_from_db()
         
-        # Placeholder: We'll implement AI function call later
-        # For now, just return the content
         return content
     
     def analyze_only(self, content_id: int) -> dict: