":57,"details":{"title":"Provider Error","detail":"We're having trouble connecti...

2026年02月06日 19:30 状态: processing

🚨 错误信息

Request ID: e21f685d-33b6-478b-8f19-64308a9fd8ca {"error":57,"details":{"title":"Provider Error","detail":"We're having trouble connecting to the model provider. This might be temporary - please try again in a moment.","isRetryable":true,"additionalInfo":{},"buttons":[],"planChoices":[]},"isExpected":true} [resource_exhausted] Error LTe: [resource_exhausted] Error at $mf (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:9095:38337) at Fmf (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:9095:37240) at Xmf (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:9096:5088) at hva.run (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:9096:9098) at async qyt.runAgentLoop (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:34196:57104) at async jpc.streamFromAgentBackend (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:34245:7695) at async jpc.getAgentStreamResponse (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:34245:8436) at async FTe.submitChatMaybeAbortCurrent (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:9170:14623) at async Object.Ei [as onSubmit] (vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:32994:3808) at async vscode-file://vscode-app/Applications/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js:32968:59730

🤖 AI解决方案

错误分析:Provider Error (资源耗尽)

1.翻译



原文:[resource_exhausted] Error
译文:[资源耗尽] 错误

2.分析


这是DMXAPI平台与模型提供商连接时发生的资源耗尽错误,通常由以下原因导致:
  • API调用达到配额限制(如每分钟/每小时/每日调用次数)

  • 服务器负载过高,无法处理更多请求

  • 模型提供商端的并发连接数已满

  • 临时性服务容量问题
  • 错误发生在Cursor IDE与AI模型提供商的连接过程中($mf, Fmf, Xmf等函数调用栈)。

    3.


    由于这是服务端资源问题,客户端需要采取以下措施:

    ``javascript
    // 1. 实现重试机制(因isRetryable为true)
    async function retryWithBackoff(apiCall, maxRetries = 3) {
    let lastError;
    for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
    return await apiCall();
    } catch (error) {
    lastError = error;
    if (error.error === 57 && error.isRetryable) {
    // 指数退避等待
    const delay = Math.min(1000 * Math.pow(2, attempt), 10000);
    console.log(
    重试 ${attempt + 1}/${maxRetries},等待 ${delay}ms);
    await new Promise(resolve => setTimeout(resolve, delay));
    continue;
    }
    throw error;
    }
    }
    throw lastError;
    }

    // 2. 调用示例
    try {
    const response = await retryWithBackoff(async () => {
    return await fetchAPI('/chat/completions', options);
    });
    } catch (error) {
    console.error('重试后仍然失败:', error);
    // 提示用户稍后再试
    }
    ``

    4.预防措施


  • 实现智能重试策略

  • - 使用指数退避算法
    - 增加最大重试次数(建议3-5次)
    - 识别可重试的错误码(如error: 57且isRetryable: true)

  • 监控与告警

  • - 跟踪API调用频率和失败率
    - 设置阈值告警(如失败率 > 10%)
    - 考虑实现备用服务商切换策略

  • 用户体验优化

  • - 提供清晰的状态反馈给用户
    - 建议用户分批处理大量请求
    - 考虑实现队列机制处理高并发请求

    ---

    ⚠️ 注意:如果频繁出现此错误,请联系DMXAPI平台的技术支持,可能需要升级服务套餐或优化调用模式。