update:格式化代码

core/providers/llm/base.py

@@ -1,7 +1,8 @@
 from abc import ABC, abstractmethod
 
+
 class LLMProviderBase(ABC):
     @abstractmethod
     def response(self, session_id, dialogue):
         """LLM response generator"""
-        pass
+        pass

core/providers/llm/dify/dify.py

@@ -5,6 +5,7 @@ from core.providers.llm.base import LLMProviderBase
 
 logger = logging.getLogger(__name__)
 
+
 class LLMProvider(LLMProviderBase):
     def __init__(self, config):
         self.api_key = config["api_key"]
@@ -35,4 +36,4 @@ class LLMProvider(LLMProviderBase):
 
         except Exception as e:
             logger.error(f"Error in response generation: {e}")
-            yield "【服务响应异常】"
+            yield "【服务响应异常】"

core/providers/llm/openai/openai.py

@@ -4,6 +4,7 @@ from core.providers.llm.base import LLMProviderBase
 
 logger = logging.getLogger(__name__)
 
+
 class LLMProvider(LLMProviderBase):
     def __init__(self, config):
         self.model_name = config.get("model_name")
@@ -12,6 +13,8 @@ class LLMProvider(LLMProviderBase):
             self.base_url = config.get("base_url")
         else:
             self.base_url = config.get("url")
+        if "你" in self.api_key:
+            logger.error("你还没配置LLM的密钥，请在配置文件中配置密钥，否则无法正常工作")
         self.client = openai.OpenAI(api_key=self.api_key, base_url=self.base_url)
 
     def response(self, session_id, dialogue):
@@ -29,4 +32,4 @@ class LLMProvider(LLMProviderBase):
                     if content:  # 仅在content非空时生成
                         yield content
         except Exception as e:
-            logger.error(f"Error in response generation: {e}")
+            logger.error(f"Error in response generation: {e}")