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/dify/intent_recognition_api.py

@@ -37,7 +37,7 @@ logger = logging.getLogger(__name__)
 # 定义请求模型
 class IntentRecognizeRequest(BaseModel):
     query: str
-    conversation_context: str = ""
+    conversation_context: Dict = None
     chat_history: Optional[List] = None
     previous_slots: str | Dict = None
 
@@ -89,13 +89,15 @@ _instance = None
 @app.on_event("startup")
 async def startup_event():
     global _instance
-    # 初始化AsyncIntentRecognizer实例
-    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")
-    _instance = await AsyncIntentRecognizer.create(api_key=api_key, base_url=base_url, model_name=model_name)
+    _instance = await AsyncIntentRecognizer.create()
     logger.info("AsyncIntentRecognizer初始化完成")
 
+@app.post("/intent_recognize1")
+async def intent_recognize(request: Request):
+    data = await request.json()
+    print(data)
+    return {"message": "success"}
+
 @app.post("/intent_recognize", response_model=IntentRecognizeResponse, summary="意图识别", description="识别用户查询的意图并进行问题改写")
 async def intent_recognize(request: IntentRecognizeRequest):
     try:
@@ -103,14 +105,15 @@ async def intent_recognize(request: IntentRecognizeRequest):
             raise HTTPException(status_code=400, detail="缺少query参数")
         
         start_time = time.time()
-        
+        current_softname = request.conversation_context.get("current_softname", "")
         result = await _instance.process_query_async(
             query=request.query, 
             conversation_context=request.conversation_context, 
             chat_history=request.chat_history, 
             previous_slots=request.previous_slots,
             use_jieba=True,
-            enable_query_expansion=True
+            enable_query_expansion=True,
+            cur_soft_name=current_softname
         )
         
         end_time = time.time()