hotfix initiation of ai models performance issue

app.py

@@ -279,6 +279,10 @@ instanceLabel = APP_CONFIG.get("APP_ENV_LABEL")
 async def lifespan(app: FastAPI):
     logger.info("Application is starting up")
 
+    # Initialize AI connectors once at startup to avoid per-request discovery
+    from modules.aicore.aicoreModelRegistry import modelRegistry
+    modelRegistry.ensureConnectorsRegistered()
+
     # Get event user for feature lifecycle (system-level user for background operations)
     rootInterface = getRootInterface()
     eventUser = rootInterface.getUserByUsername("event")

modules/aicore/aicoreModelRegistry.py

@@ -30,6 +30,7 @@ class ModelRegistry:
         self._connectors: Dict[str, BaseConnectorAi] = {}
         self._lastRefresh: Optional[float] = None
         self._refreshInterval: float = 300.0  # 5 minutes
+        self._connectorsInitialized: bool = False
     
     def registerConnector(self, connector: BaseConnectorAi):
         """Register a connector and collect its models."""
@@ -96,11 +97,22 @@ class ModelRegistry:
                     logger.warning(f"Failed to discover connector from {filename}: {e}")
         
         return connectors
+
+    def ensureConnectorsRegistered(self):
+        """Register connectors once to avoid per-request discovery."""
+        if self._connectorsInitialized:
+            return
+        discovered = self.discoverConnectors()
+        for connector in discovered:
+            self.registerConnector(connector)
+        self._connectorsInitialized = True
     
     def refreshModels(self, force: bool = False):
         """Refresh models from all registered connectors."""
         import time
         
+        self.ensureConnectorsRegistered()
+
         currentTime = time.time()
         
         # Check if refresh is needed

modules/services/serviceExtraction/mainServiceExtraction.py

@@ -22,15 +22,19 @@ logger = logging.getLogger(__name__)
 
 
 class ExtractionService:
+    _sharedExtractorRegistry: Optional[ExtractorRegistry] = None
+    _sharedChunkerRegistry: Optional[ChunkerRegistry] = None
+
     def __init__(self, services: Optional[Any] = None):
         self.services = services
-        self._extractorRegistry = ExtractorRegistry()
-        self._chunkerRegistry = ChunkerRegistry()
-        
-        # Ensure connectors are registered
-        discovered = modelRegistry.discoverConnectors()
-        for connector in discovered:
-            modelRegistry.registerConnector(connector)
+        if ExtractionService._sharedExtractorRegistry is None:
+            ExtractionService._sharedExtractorRegistry = ExtractorRegistry()
+        if ExtractionService._sharedChunkerRegistry is None:
+            ExtractionService._sharedChunkerRegistry = ChunkerRegistry()
+        self._extractorRegistry = ExtractionService._sharedExtractorRegistry
+        self._chunkerRegistry = ExtractionService._sharedChunkerRegistry
+
+        modelRegistry.ensureConnectorsRegistered()
         
         # Verify required internal model is available (used for pricing in extractContent)
         modelDisplayName = "Internal Document Extractor"