1、删除不再使用的.cursorrules文件

2、更新poetry.lock以反映Poetry版本的变化，添加jieba依赖，
3、重构意图识别逻辑以支持多轮对话，优化槽位填充和意图分类功能，增强代码可读性和维护性。

rag2_0/dify/intent_recognition_api.py

@@ -36,6 +36,9 @@ def intent_recognize():
     try:
         data = request.get_json(force=True)
         query = data.get('query')
+        conversation_context = data.get('conversation_context', "")
+        chat_history = data.get('chat_history', None)
+        previous_slots = data.get('previous_slots', None)
         if not query:
             return Response(json.dumps({"error": "缺少query参数"}, ensure_ascii=False), content_type='application/json; charset=utf-8', status=400)
         
@@ -43,7 +46,7 @@ def intent_recognize():
         
         # 获取单例实例并使用线程锁保护关键操作
         recognizer = RecognizerSingleton.get_instance()
-        result = recognizer.process_query_with_slots(query)
+        result = recognizer.process_query(query, conversation_context, chat_history, previous_slots)
             
         end_time = time.time()
         current_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S %z")
@@ -60,8 +63,8 @@ def intent_recognize():
             for term in keywords["terms"]:
                 term_info = {
                     "名称": term["name"],
-                    "同义词": ";".join(term["synonymous"]) if term["synonymous"] else "",
-                    "描述": term["description"]
+                    # "同义词": ";".join(term["synonymous"]) if term["synonymous"] else "",
+                    # "描述": term["description"]
                 }
                 term_details.append(term_info)
             keywords_str = term_details