LLM输出的内容先通过正则清理多余内容

rag2_0/tool/APIKeyManager.py

@@ -30,7 +30,7 @@ class APIKeyManager:
     # 密钥使用计数和上次使用时间
     _key_usage: Dict[str, Dict] = {}
     # 当前正在使用的密钥索引
-    _current_index = 0
+    _current_index = -1
 
     api_file_path = "api_key.txt"
     

rag2_0/tool/ModelTool.py

@@ -200,7 +200,7 @@ class OpenAiLLM:
                 except Exception as e:
                     retry_count += 1
                     if retry_count == max_retries:
-                        raise RuntimeError(f"OpenAiLLM:invoke:error:{str(e)}.api_key:{api_key}") from e
+                        raise RuntimeError(f"OpenAiLLM:invoke:error:{str(e)}") from e
                     else:
                         time.sleep(5*retry_count)  # 重试前等待5秒*重试次数
         else:
@@ -215,7 +215,7 @@ class OpenAiLLM:
                     )
                     return completion.choices[0].message
             except Exception as e:
-                raise RuntimeError(f"OpenAiLLM:invoke:error:{str(e)}.api_key:{api_key}") from e
+                raise RuntimeError(f"OpenAiLLM:invoke:error:{str(e)}") from e
 
     async def ainvoke(self, user_prompt="你是谁？", **extra_kwargs):
         """异步调用OpenAI API"""