更新意图识别模块，优化软件锁类的描述信息，增强代码可读性。同时，调整分类信息示例，新增后缀名咨询的示例，提升用户体验。更新多个二进制索引文件以反映最新变化。

rag2_0/intent_recognition/DataModels.py

@@ -239,8 +239,8 @@ class FileExtensionConsultingSlots(SlotBase):
 
 # 3.2 软件锁类
 class SoftwareLockSlots(SlotBase):
-    lock_type: str = Field(default="", description="锁类型")
-    operation_purpose: str = Field(default="", description="操作目的")
+    lock_type: str = Field(default="", description="锁类型(单机锁、网络锁)")
+    operation_purpose: str = Field(default="", description="操作目的(查询锁信息、无法激活、无法注册)")
     lock_number: Optional[str] = Field(default="",  description="软件锁编号/注册号")
     
     def check_required_slots(self) -> Tuple[bool, Dict[str, str]]:

rag2_0/intent_recognition/IntentRecognition.py

@@ -52,6 +52,7 @@ class IntentRecognizer:
         # 初始化LLM
         llm_params = {
             "temperature": 0.2,  # 降低随机性，使结果更确定
+            "top_p": 0.7,
             "model": model_name
         }
         
@@ -117,14 +118,15 @@ class IntentRecognizer:
                                                         output_format=classification_parser.get_format_instructions(),
                                                         conversation_context=conversation_context,
                                                         chat_history=json.dumps(chat_history, ensure_ascii=False))
-
-        # 调用LLM
-        response = self._llm.invoke(formatted_prompt, False)
-        classification_end_time = time.time()
-        classification_time = classification_end_time - classification_start_time
-        logging.info(f"意图分类耗时统计 - 总耗时: {classification_time:.2f}秒")
         # 解析输出
         try:
+            # 调用LLM
+            response = self._llm.invoke(formatted_prompt, False)
+
+            classification_end_time = time.time()
+            classification_time = classification_end_time - classification_start_time
+            logging.info(f"意图分类耗时统计 - 总耗时: {classification_time:.2f}秒")
+
             # 尝试直接解析JSON响应
             parsed_output = classification_parser.parse(response.content.strip())
             return parsed_output
@@ -319,12 +321,11 @@ class IntentRecognizer:
                                                            keywords=keywords_str,
                                                            chat_history=chat_history,
                                                            context=context)
-
-        # 调用LLM
-        response = self._llm.invoke(formatted_prompt, False)
-        
         # 解析输出
         try:
+            # 调用LLM
+            response = self._llm.invoke(formatted_prompt, False)
+        
             # 尝试直接解析JSON响应
             parsed_output = query_rewrite_parser.parse(response.content)
             rewrite_end_time = time.time()
@@ -531,11 +532,11 @@ class IntentRecognizer:
             chat_history=json.dumps(chat_history,ensure_ascii=False),
             previous_slots=json.dumps(previous_slots,ensure_ascii=False),
         )
-        
-        # 调用LLM
-        response = self._llm.invoke(formatted_prompt, False)
-        
         try:
+            # 调用LLM
+            response = self._llm.invoke(formatted_prompt, False)
+        
+
             # 尝试解析LLM响应
             parsed_output = slot_parser.parse(response.content)
             return parsed_output

rag2_0/intent_recognition/PromptTemplates.py

@@ -46,7 +46,8 @@ classification_info="""【垂直领域分类】：
 示例：
 "这个文件用配网软件能打开吗？（隐含扩展名关联）",
 ".bphq18 是什么类型的文件？",
-"用哪个软件打开.BDY3文件？"
+"用哪个软件打开.BDY3文件？",
+"BDD3是什么"
 2. 软件锁类：询问软件锁信息、锁注册号查询、许可证查询、锁激活问题等软件锁相关问题
 3. 安装下载类：安装下载咨询、组件(插件)选择、环境配置等
 4. 问题排查类：软件安装下载失败、报错，系统兼容性问题等
@@ -77,6 +78,14 @@ classification_prompt="""
     "vertical_classification":"软件咨询",
     "sub_classification":"软件功能"
     }}
+
+
+   用户输入2: BDD3是什么
+    输出2:
+    {{
+    "vertical_classification":"安装下载注册",
+    "sub_classification":"后缀名咨询"
+    }}
 """
 
 query_rewrite_prompt = """

rag2_0/tool/APIKeyManager.py

@@ -20,7 +20,6 @@ import requests
 API_KEY_LIST=[
 "sk-kvgfuqeqvpmfsccykyoohheshclcrtvjlnewratvrjpkpbkc",
 "sk-kzhxlqvqcxlnbdgnpalqnzumkmspepkttkgbophnkqanainw",
-"sk-bzttugqtlskrvguvhckwamdssvgmgnrqpsialpdbskfsyyak",
 "sk-tovmogiablsoeabwgqyvevpcfichyjpuzqdymmvksspdrtqt",
 "sk-yvyvoiegjrdlgihnxlaaznzdhnvpmfowtwmofomcodaoeaqs",
 "sk-vccwuaomxhjcszjhheipoqqmsnuetasiveombkyrptstesbi",