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

2026年02月06日 19:30 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：

    // 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。

    分析新问题 查看更多