What this error means

Conway proxy returns 429 insufficient_quota after successful USDC topup and reprovision — payment processed but inference still fails with 429 is a OpenAI API failure pattern reported for developers trying to 用户在完成支付和充值后仍收到 429 insufficient_quota,需要解决方案恢复服务. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

来源:GitHub Issues (Conway-Research/automaton#292)。描述 USDC 充值成功但推理仍返回 429 insufficient_quota 的错误。涉及付费用户的计费与API状态不一致问题。分类:OpenAI API(API billing/quota 错误)。

Common causes

  • 来源:GitHub Issues (Conway-Research/automaton#292)。描述 USDC 充值成功但推理仍返回 429 insufficient_quota 的错误。涉及付费用户的计费与API状态不一致问题。分类:OpenAI API(API billing/quota 错误)。

Quick fixes

  1. Confirm the exact error signature matches Conway proxy returns 429 insufficient_quota after successful USDC topup and reprovision — payment processed but inference still fails with 429.
  2. Check the OpenAI API account, local tool state, and provider configuration involved in the failing workflow.
  3. Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.

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.