更新环境变量配置，调整模型名称获取方式，新增Dify API相关配置，删除无用的脚本文件，优化意图识别逻辑，添加LLM提取词条逻辑

rag2_0/demo/intent_recognition_example.py

@@ -75,15 +75,8 @@ class QueryRewriteProcessor:
             dify_base_url: Dify API基础URL
         """
         # 初始化意图识别器
-        self.api_key = api_key or os.getenv("OPENAI_API_KEY")
-        self.base_url = base_url or os.getenv("OPENAI_API_BASE")
-        self.model_name = model_name or os.getenv("LLM_MODEL_NAME", "gpt-3.5-turbo")
         # 使用asyncio.run()运行异步create方法
-        self.recognizer_async = asyncio.run(AsyncIntentRecognizer.create(
-            api_key=self.api_key, 
-            base_url=self.base_url, 
-            model_name=self.model_name
-        ))
+        self.recognizer_async = asyncio.run(AsyncIntentRecognizer.create())
         self.dify_query_retrieval = DifyQueryRetrieval(api_key=dify_api_key, base_url=dify_base_url)
     
     def is_retrieved_doc_relevant(self, query: str, retrieved_doc: List[Dict[str, Any]]) -> Dict[str, Any]:
@@ -174,7 +167,7 @@ class QueryRewriteProcessor:
             return []
     
     def process_query(self, query: str, 
-                      conversation_context: str = "", 
+                      conversation_context: Dict = None, 
                       chat_history: List[Dict[str, str]] = None, 
                       previous_slots: Dict[str, str] = None, 
                       enable_retrieval: bool = False):
@@ -196,12 +189,17 @@ class QueryRewriteProcessor:
         
         while retry_count <= max_retries:
             try:
+                if conversation_context is None:
+                    conversation_context = {}
+
+                current_softname = conversation_context.get("current_softname", "")
                 result = asyncio.run(self.recognizer_async.process_query_async(query, 
                                                   conversation_context=conversation_context, 
                                                   chat_history=chat_history, 
                                                   previous_slots=previous_slots, 
                                                   enable_query_expansion=True,
-                                                  use_jieba=True))
+                                                  use_jieba=True,
+                                                  cur_soft_name=current_softname))
 
                 # 提取分类信息
                 classification = result["classification"]
@@ -414,7 +412,7 @@ def main():
     # 从环境变量中获取配置，命令行参数优先
     api_key = os.getenv("OPENAI_API_KEY")
     base_url = os.getenv("OPENAI_API_BASE")
-    model_name = os.getenv("LLM_MODEL_NAME", "gpt-3.5-turbo")
+    model_name = os.getenv("MODEL_NAME", "gpt-3.5-turbo")
     enable_retrieval = args.enable_retrieval
 
     # 初始化查询改写处理器
@@ -441,8 +439,10 @@ def main():
         for idx, query in enumerate(examples):
             if query.strip() == "":
                 continue
-            query="811619150828能看一下这个锁是16的马"
-            conversation_context="当前使用软件：配网计价通D3软件"
+            query="怎么把一个批次拆分成多个批次工程"
+            conversation_context={
+                "current_softname": "配网计价通D3软件"
+            }
             # 在调试模式下使用完整的参数
             print(json.dumps(processor.process_query(
                 query,