What this error means

Invalid API Key / Model not available or Unsupported model / Request timeout / Connection failed / Network error is a Cursor failure pattern reported for developers trying to cursor ide 用户面临多种错误（api key 无效、模型不可用、网络超时），需要系统性的故障排除指南来恢复 ai 辅助编程功能。. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

source: https://eastondev.com/blog/en/posts/dev/20260119-cursor-error-guide/ — 涵盖 Invalid API Key（复制多余换行符导致）、Model Not Supported、Request Timeout、Connection Failed 等 10+ 类错误的完整排查步骤。Cursor Pro 是付费订阅工具，错误直接阻断付费用户使用。covered-errors.md 只有 'Cursor model not available' 和 'Cursor OpenAI API key not working'，此页提供更全面的分类排查框架并包含 Ask mode、proxy/DNS 等特殊场景。Category 映射 Cursor。

Common causes

  • source: https://eastondev.com/blog/en/posts/dev/20260119-cursor-error-guide/ — 涵盖 Invalid API Key（复制多余换行符导致）、Model Not Supported、Request Timeout、Connection Failed 等 10+ 类错误的完整排查步骤。Cursor Pro 是付费订阅工具，错误直接阻断付费用户使用。covered-errors.md 只有 'Cursor model not available' 和 'Cursor OpenAI API key not working'，此页提供更全面的分类排查框架并包含 Ask mode、proxy/DNS 等特殊场景。Category 映射 Cursor。

Quick fixes

  1. Confirm the exact error signature matches Invalid API Key / Model not available or Unsupported model / Request timeout / Connection failed / Network error.
  2. Check the Cursor account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.