_from_response(err.response) from None openai.InternalServerError: Error code: 5...

2025年09月23日 20:16 响应: 6.25秒 状态: success

🚨 错误信息

Traceback (most recent call last): File "e:\个人用程序\AI_NovelGenerator - 副本\ui\generation_handlers.py", line 58, in task Novel_architecture_generate( File "e:\个人用程序\AI_NovelGenerator - 副本\novel_generator\architecture.py", line 121, in Novel_architecture_generate character_dynamics_result = invoke_with_cleaning(llm_adapter, prompt_character) File "e:\个人用程序\AI_NovelGenerator - 副本\novel_generator\common.py", line 80, in invoke_with_cleaning raise e File "e:\个人用程序\AI_NovelGenerator - 副本\novel_generator\common.py", line 64, in invoke_with_cleaning result = llm_adapter.invoke(prompt) File "e:\个人用程序\AI_NovelGenerator - 副本\llm_adapters.py", line 93, in invoke response = self._client.invoke(prompt) File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\langchain_core\language_models\chat_models.py", line 383, in invoke self.generate_prompt( File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\langchain_core\language_models\chat_models.py", line 1006, in generate_prompt return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs) File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\langchain_core\language_models\chat_models.py", line 825, in generate self._generate_with_cache( File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\langchain_core\language_models\chat_models.py", line 1072, in _generate_with_cache result = self._generate( File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\langchain_openai\chat_models\base.py", line 1180, in _generate response = self.client.create(**payload) File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\openai\_utils\_utils.py", line 287, in wrapper return func(*args, **kwargs) File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\openai\resources\chat\completions\completions.py", line 1147, in create return self._post( File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\openai\_base_client.py", line 1259, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) File "E:\Program Files\anaconda3\envs\computerSystem\lib\site-packages\openai\_base_client.py", line 1047, in request raise self._make_status_error_from_response(err.response) from None openai.InternalServerError: Error code: 504 - {'error': {'message': 'bad response status code 504 (request id: 20250923201346730348511ryulWtV2)', 'type': 'openai_error', 'param': '', 'code': 'bad_response_status_code'}}

🤖 AI解决方案

openai.InternalServerError: Error code: 504 - {'error': {'message': 'bad response status code 504 (request id: 20250923201346730348511ryulWtV2)', 'type': 'openai_error', 'param': '', 'code': 'bad_response_status_code'}}

错误翻译:
openai.InternalServerError: 错误代码:504 - {'error': {'message': '响应状态码 504 错误 (请求 ID: 20250923201346730348511ryulWtV2)', 'type': 'openai_error', 'param': '', 'code': 'bad_response_status_code'}}

原因分析:
OpenAI API 返回了 HTTP 504 Gateway Timeout 错误,这表示 OpenAI 的服务器在处理你的请求时,由于与上游服务器通信超时而未能及时响应。这通常不是你的代码问题,而是 OpenAI 服务的临时问题。

解决方案:

  • 重试请求: 由于是网络超时问题,最直接的方法是稍后重试你的代码。可以实现一个简单的重试机制。
  •     import time
    
        def invoke_with_retry(llm_adapter, prompt, max_retries=3, delay=5):
            for attempt in range(max_retries):
                try:
                    result = llm_adapter.invoke(prompt)
                    return result
                except openai.InternalServerError as e:
                    if "504 Gateway Timeout" in str(e):
                        print(f"Attempt {attempt + 1} failed: {e}. Retrying in {delay} seconds...")
                        time.sleep(delay)
                    else:
                        raise  # Re-raise if it's not a 504 error
                except Exception as e:
                    raise  # Re-raise other exceptions
    
            raise Exception(f"All {max_retries} attempts failed due to 504 Gateway Timeout.")
    
        # 在你的代码中调用时替换 invoke_with_cleaning
        # character_dynamics_result = invoke_with_cleaning(llm_adapter, prompt_character)
        # 替换为:
        # character_dynamics_result = invoke_with_retry(llm_adapter, prompt_character)
        

  • 检查 OpenAI 服务状态: 访问 OpenAI 的官方状态页面,确认是否存在服务中断或高延迟的报告。
  • 预防措施:

  • 实现健壮的错误处理和重试机制: 对于可能出现的网络请求错误(如超时、连接中断),应该设计重试逻辑,并设定合理的重试间隔和次数。

  • 监控 API 响应时间: 如果在开发环境中频繁遇到此类问题,可以考虑将请求拆分或优化 Prompt,以减少单个请求的响应时间,降低超时的概率。