优化Dify工具逻辑，调整知识提取和重排序流程，增强API调用的重试机制，更新意图识别API以支持更好的错误处理和日志记录，改进多线程检索功能

rag2_0/intent_recognition/IntentRecognition.py

@@ -9,7 +9,6 @@ Description: 意图分类、改写核心逻辑
 
 import logging
 import os
-import threading
 from langchain.output_parsers import PydanticOutputParser
 import json
 from typing import List, Tuple, Dict, Any, Optional
@@ -449,10 +448,10 @@ class IntentRecognizer:
                 "slot_filling": slot_filling_result
             }
 
-        # 等待所有线程完成
+        # 等待所有greenlet完成
         start_time = time.time()
-        for thread, _ in threads_and_results:
-            thread.join()
+        for greenlet, _ in threads_and_results:
+            greenlet.join()
         end_time = time.time()
         logging.info(f"问题扩展环节耗时统计 - 总耗时: {end_time - start_time:.2f}秒")
         
@@ -751,7 +750,7 @@ class IntentRecognizer:
     
     def _run_in_thread(self, func, args=(), kwargs={}):
         """
-        在线程中执行函数并返回结果
+        在greenlet中执行函数并返回结果
         
         Args:
             func: 要执行的函数
@@ -759,21 +758,22 @@ class IntentRecognizer:
             kwargs: 函数的关键字参数
             
         Returns:
-            (thread, result_container): 线程对象和存放结果的容器
+            (greenlet, result_container): greenlet对象和存放结果的容器
         """
+        from gevent import Greenlet
         result_container = []
         
-        def thread_target():
+        def greenlet_target():
             try:
                 result = func(*args, **kwargs)
                 result_container.append(result)
             except Exception as e:
-                logging.error(f"线程执行函数 {func.__name__} 时出错: {e}", exc_info=True)
+                logging.error(f"greenlet执行函数 {func.__name__} 时出错: {e}", exc_info=True)
                 result_container.append(None)
         
-        thread = threading.Thread(target=thread_target)
-        thread.start()
-        return thread, result_container
+        greenlet = Greenlet(greenlet_target)
+        greenlet.start()
+        return greenlet, result_container
 
             
     def _process_intent_and_slot(self, user_input: str, conversation_context: str = "",