(msg) httpcore.RemoteProtocolError: Server disconnected without sending a respon...

2025年11月25日 14:22 状态: processing

🚨 错误信息

/opt/miniconda3/envs/Stability_AI/bin/python -X pycache_prefix=/Users/ss/Library/Caches/JetBrains/PyCharm2024.3/cpython-cache /Applications/PyCharm.app/Contents/plugins/python-ce/helpers/pydev/pydevd.py --multiprocess --qt-support=auto --client 127.0.0.1 --port 56450 --file /Users/ss/PycharmProjects/Stability AI/main.py /Applications/PyCharm.app/Contents/plugins/python-ce/helpers/pydev/pydevd_plugins/__init__.py:2: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. __import__('pkg_resources').declare_namespace(__name__) 已连接到 pydev 调试器(内部版本号 243.26053.29)Traceback (most recent call last): File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions yield File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_transports/default.py", line 250, in handle_request resp = self._pool.handle_request(req) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpcore/_sync/connection_pool.py", line 256, in handle_request raise exc from None File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpcore/_sync/connection_pool.py", line 236, in handle_request response = connection.handle_request( File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpcore/_sync/http_proxy.py", line 343, in handle_request return self._connection.handle_request(request) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 136, in handle_request raise exc File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 106, in handle_request ) = self._receive_response_headers(**kwargs) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 177, in _receive_response_headers event = self._receive_event(timeout=timeout) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 231, in _receive_event raise RemoteProtocolError(msg) httpcore.RemoteProtocolError: Server disconnected without sending a response. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/concurrent/futures/_base.py", line 451, in result return self.__get_result() File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result raise self._exception File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/tenacity/__init__.py", line 480, in __call__ result = fn(*args, **kwargs) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/google/genai/_api_client.py", line 1194, in _request_once response = self._httpx_client.request( File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_client.py", line 825, in request return self.send(request, auth=auth, follow_redirects=follow_redirects) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_client.py", line 914, in send response = self._send_handling_auth( File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_client.py", line 942, in _send_handling_auth response = self._send_handling_redirects( File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_client.py", line 979, in _send_handling_redirects response = self._send_single_request(request) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_client.py", line 1014, in _send_single_request response = transport.handle_request(request) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_transports/default.py", line 249, in handle_request with map_httpcore_exceptions(): File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/contextlib.py", line 153, in __exit__ self.gen.throw(typ, value, traceback) File "/opt/miniconda3/envs/Stability_AI/lib/python3.10/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions raise mapped_exc(message) from exc httpx.RemoteProtocolError: Server disconnected without sending a response. python-BaseException 进程已结束,退出代码为 1

🤖 AI解决方案

错误分析

1. 错误翻译

原文:Server disconnected without sending a response
译文:服务器断开连接且未发送响应

2. 原因分析

这是典型的网络连接问题,具体表现为:
  • 与Google AI API服务器的HTTP连接意外断开
  • 服务器在连接建立后未能返回任何响应就断开了连接
  • 可能由于网络不稳定、代理设置、服务器负载过高或防火墙限制
  • 3. 解决方案

    方案一:增加重试机制和超时设置

    import google.generativeai as genai
    import time
    from tenacity import retry, stop_after_attempt, wait_exponential
    
    # 配置API密钥
    genai.configure(api_key="your-api-key")
    
    @retry(
        stop=stop_after_attempt(3),
        wait=wait_exponential(multiplier=1, min=4, max=10)
    )
    def safe_api_call():
        try:
            model = genai.GenerativeModel('gemini-pro')
            response = model.generate_content(
                "你的请求内容",
                request_options={
                    'timeout': 30.0  # 设置超时时间
                }
            )
            return response
        except Exception as e:
            print(f"API调用失败: {e}")
            raise
    
    # 使用示例
    try:
        result = safe_api_call()
        print(result.text)
    except Exception as e:
        print(f"最终失败: {e}")

    方案二:检查网络连接

    import requests
    import google.generativeai as genai
    
    def check_network_connection():
        """检查网络连接状态"""
        try:
            # 测试是否能访问Google AI服务
            response = requests.get("https://generativelanguage.googleapis.com", timeout=10)
            return response.status_code == 200
        except:
            return False
    
    if check_network_connection():
        genai.configure(api_key="your-api-key")
        # 进行API调用
    else:
        print("网络连接异常,请检查网络设置")

    4. ️ 预防措施

    最佳实践建议:

  • 实现健壮的重试机制:使用tenacity库实现指数退避重试策略

  • 合理设置超时时间:避免因长时间等待导致的资源浪费
  • ️ 工具推荐:

  • 使用网络调试工具检查连接稳定性

  • 配置适当的HTTP客户端参数(连接池、超时设置)

  • 监控API服务的状态和响应时间
  • 临时解决方案:

  • 检查VPN/代理设置

  • 等待服务器恢复正常

  • 尝试在不同的网络环境下运行