claude-code - 💡(How to fix) Fix You've hit your limit · resets 7pm (America/Panama) [1 participants]

[{"error":"Error: Request was aborted.\n at xR8 (B:/~BUN/root/src/entrypoints/cli.js:1325:12089)\n at next (native:1:11)\n at Bm_ (B:/~BUN/root/src/entrypoints/cli.js:7969:4065)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-10T20:23:25.355Z"},{"error":"Error: Request was aborted.\n at xR8 (B:/~BUN/root/src/entrypoints/cli.js:1325:12089)\n at next (native:1:11)\n at Bm_ (B:/~BUN/root/src/entrypoints/cli.js:7969:4065)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-10T20:35:49.472Z"},{"error":"Error: 429 {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your account's rate limit. Please try again later."},"request_id":"req_011CZvsML6qNWJJpKBAtRf4Z"}\n at generate (B:/~BUN/root/src/entrypoints/cli.js:11:53407)\n at makeRequest (B:/~BUN/root/src/entrypoints/cli.js:50:4943)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-10T22:20:26.048Z"}]

TL;DR

The issue can be mitigated by adjusting the request timing to avoid exceeding the rate limit and implementing a retry mechanism with exponential backoff.

Guidance

• Review the request frequency to ensure it does not exceed the account's rate limit, as indicated by the "rate_limit_error" in the error logs.
• Implement a retry mechanism with exponential backoff to handle temporary request aborts and rate limit errors.
• Consider increasing the timeout value if the default 90-minute timeout is too low for the specific use case.
• Analyze the error logs to identify patterns in request aborts and rate limit errors to optimize the request strategy.

Example

// Example retry mechanism with exponential backoff
const retryOptions = {
  retries: 3,
  factor: 2,
  minTimeout: 1000,
  maxTimeout: 30000
};

Notes

The provided solution assumes that the rate limit error is due to excessive requests within a short period. However, the actual cause may vary depending on the specific implementation and external factors.

Recommendation

Apply workaround: Implementing a retry mechanism with exponential backoff can help mitigate the issue by reducing the frequency of requests and handling temporary errors.