diff --git a/ruoyi-fastapi-backend/module_admin/controller/ragflow_controller.py b/ruoyi-fastapi-backend/module_admin/controller/ragflow_controller.py
index 46c9b16..c5ec0ac 100644
--- a/ruoyi-fastapi-backend/module_admin/controller/ragflow_controller.py
+++ b/ruoyi-fastapi-backend/module_admin/controller/ragflow_controller.py
@@ -214,8 +214,9 @@ async def converse_with_chat_assistant(
 
     # 检查是否应该使用搜索服务 (Router Strategy)
     # Using 'glm-4-flash' to classify intent: SEARCH vs RAG
+    t0 = time.perf_counter()
     intent = await SearchService.classify_intent(converse_params.question)
-    logger.info(f"Intent Router ({converse_params.chat_id}): {intent} | Query: {converse_params.question}")
+    logger.info(f"[RAG_PROFILE] Intent Router ({converse_params.chat_id}): {intent} | Time: {time.perf_counter() - t0:.3f}s | Query: {converse_params.question}")
     
     if intent == 'SEARCH':
         return await SearchService.handle_search_chat(converse_params, redis)
@@ -228,7 +229,9 @@ async def converse_with_chat_assistant(
             return ResponseUtil.success(json.loads(cached))
 
     # Revert to Native RAGFlow Service (OpenAI endpoint failed with Auth error)
+    t1 = time.perf_counter()
     result = await RAGFlowService.converse_with_chat_assistant_services(converse_params)
+    logger.info(f"[RAG_PROFILE] RAG Init/Connect ({converse_params.chat_id}): {time.perf_counter() - t1:.3f}s")
 
     if converse_params.stream:
         async def stream_response():
@@ -241,7 +244,7 @@ async def converse_with_chat_assistant(
                     if not first_token_received:
                         first_token_received = True
                         latency = time.perf_counter() - start_stream_time
-                        logger.info(f"RAGFlow Stream Start Latency: {latency:.3f}s")
+                        logger.info(f"[RAG_PROFILE] Time to First Token ({converse_params.chat_id}): {latency:.3f}s")
                     
                     # Native RAGFlow returns cumulative text in 'answer' field
                     # Chunk structure: {'data': {'answer': 'Cumulative Text...'}}
@@ -273,17 +276,18 @@ async def converse_with_chat_assistant(
                         
                 yield format_sse({'status': 'completed'}, event='end')
             except Exception as exc:
-                logger.exception('ragflow流式对话异常: %s', exc)
+                logger.exception('[RAG_PROFILE] ragflow流式对话异常: %s', exc)
                 yield format_sse({'message': str(exc)}, event='error')
             finally:
-                logger.info('ragflow流式对话耗时 %.3fs', time.perf_counter() - start_time)
+                total_time = time.perf_counter() - start_time
+                logger.info(f'[RAG_PROFILE] Total Stream Duration ({converse_params.chat_id}): {total_time:.3f}s')
 
         return StreamingResponse(stream_response(), media_type='text/event-stream')
 
     response = parse_result(result)
     if redis and cache_key and isinstance(result, dict) and result.get('code') == 0:
         await redis.set(cache_key, json.dumps(result.get('data'), ensure_ascii=False), ex=60)
-    logger.info('ragflow对话耗时 %.3fs', time.perf_counter() - start_time)
+    logger.info(f'[RAG_PROFILE] Total Sync Duration ({converse_params.chat_id}): {time.perf_counter() - start_time:.3f}s')
     return response