fix: reduce func complexity

Author: AlexsanderHamir

litellm/proxy/proxy_server.py

@@ -653,28 +653,11 @@ async def proxy_startup_event(app: FastAPI):
         )
 
     ### PRELOAD USERS INTO CACHE ###
-    if prisma_client is not None and general_settings is not None:
-        preload_limit = general_settings.get("preload_users_limit", 0)
-        if preload_limit > 0:
-            from litellm.proxy.utils import preload_users_into_cache        
-            verbose_proxy_logger.info(
-                f"Starting background user preload into cache: limit={preload_limit}"
-            )
-            
-            async def _preload_users_background():
-                try:
-                    await preload_users_into_cache(
-                        prisma_client=prisma_client,  # type: ignore
-                        user_api_key_cache=user_api_key_cache,
-                        limit=preload_limit
-                    )
-                    verbose_proxy_logger.info("User preload background task completed")
-                except Exception as e:
-                    verbose_proxy_logger.error(f"Failed to preload users in background: {e}")
-                    # Don't fail startup if preload fails
-                    pass
-            
-            asyncio.create_task(_preload_users_background())
+    ProxyStartupEvent._start_user_preload_background_task(
+        prisma_client=prisma_client,
+        general_settings=general_settings,
+        user_api_key_cache=user_api_key_cache
+    )
 
     ### START BATCH WRITING DB + CHECKING NEW MODELS###
     if prisma_client is not None:
@@ -3921,6 +3904,37 @@ def _init_dd_tracer(cls):
             prof.start()
             verbose_proxy_logger.debug("Datadog Profiler started......")
 
+    @classmethod
+    def _start_user_preload_background_task(
+        cls,
+        prisma_client: Optional[PrismaClient],
+        general_settings: Optional[dict],
+        user_api_key_cache: DualCache,
+    ):
+        """Start background task to preload users into cache"""
+        if prisma_client is not None and general_settings is not None:
+            preload_limit = general_settings.get("preload_users_limit", 0)
+            if preload_limit > 0:
+                from litellm.proxy.utils import preload_users_into_cache        
+                verbose_proxy_logger.info(
+                    f"Starting background user preload into cache: limit={preload_limit}"
+                )
+                
+                async def _preload_users_background():
+                    try:
+                        await preload_users_into_cache(
+                            prisma_client=prisma_client,  # type: ignore
+                            user_api_key_cache=user_api_key_cache,
+                            limit=preload_limit
+                        )
+                        verbose_proxy_logger.info("User preload background task completed")
+                    except Exception as e:
+                        verbose_proxy_logger.error(f"Failed to preload users in background: {e}")
+                        # Don't fail startup if preload fails
+                        pass
+                
+                asyncio.create_task(_preload_users_background())
+
 
 #### API ENDPOINTS ####
 @router.get(
@@ -4082,6 +4096,7 @@ async def model_info(
     tags=["chat/completions"],
     responses={200: {"description": "Successful response"}, **ERROR_RESPONSES},
 )  # azure compatible endpoint
+@profile_endpoint(0.8)
 async def chat_completion(  # noqa: PLR0915
     request: Request,
     fastapi_response: Response,