Enhance error handling in AIEngine and update ResourceDebugOverlay

- Added error type handling in AIEngine for better error categorization during model configuration and execution.
- Updated _handle_error method to accept and log error types.
- Improved ResourceDebugOverlay to silently ignore 404 responses from the metrics endpoint, preventing unnecessary logging and retries.
- Refactored authStore to utilize fetchAPI for automatic token handling and improved error logging without throwing exceptions.

backend/igny8_core/ai/engine.py

@@ -215,13 +215,15 @@ class AIEngine:
             except ValueError as e:
                 # IntegrationSettings not configured or model missing
                 error_msg = str(e)
+                error_type = 'ConfigurationError'
                 logger.error(f"[AIEngine] {error_msg}")
-                return self._handle_error(error_msg, fn)
+                return self._handle_error(error_msg, fn, error_type=error_type)
             except Exception as e:
                 # Other unexpected errors
                 error_msg = f"Failed to get model configuration: {str(e)}"
+                error_type = type(e).__name__
                 logger.error(f"[AIEngine] {error_msg}", exc_info=True)
-                return self._handle_error(error_msg, fn)
+                return self._handle_error(error_msg, fn, error_type=error_type)
             
             # Debug logging: Show model configuration (console only, not in step tracker)
             logger.info(f"[AIEngine] Model Configuration for {function_name}:")
@@ -373,18 +375,28 @@ class AIEngine:
             }
             
         except Exception as e:
-            logger.error(f"Error in AIEngine.execute for {function_name}: {str(e)}", exc_info=True)
-            return self._handle_error(str(e), fn, exc_info=True)
+            error_msg = str(e)
+            error_type = type(e).__name__
+            logger.error(f"Error in AIEngine.execute for {function_name}: {error_msg}", exc_info=True)
+            return self._handle_error(error_msg, fn, exc_info=True, error_type=error_type)
     
-    def _handle_error(self, error: str, fn: BaseAIFunction = None, exc_info=False):
+    def _handle_error(self, error: str, fn: BaseAIFunction = None, exc_info=False, error_type: str = None):
         """Centralized error handling"""
         function_name = fn.get_name() if fn else 'unknown'
         
+        # Determine error type
+        if error_type:
+            final_error_type = error_type
+        elif isinstance(error, Exception):
+            final_error_type = type(error).__name__
+        else:
+            final_error_type = 'Error'
+        
         self.step_tracker.add_request_step("Error", "error", error, error=error)
         
         error_meta = {
             'error': error,
-            'error_type': type(error).__name__ if isinstance(error, Exception) else 'Error',
+            'error_type': final_error_type,
             **self.step_tracker.get_meta()
         }
         self.tracker.error(error, meta=error_meta)
@@ -399,7 +411,7 @@ class AIEngine:
         return {
             'success': False,
             'error': error,
-            'error_type': type(error).__name__ if isinstance(error, Exception) else 'Error',
+            'error_type': final_error_type,
             'request_steps': self.step_tracker.request_steps,
             'response_steps': self.step_tracker.response_steps
         }