claude-code - 💡(How to fix) Fix You've hit your limit · resets 7:30pm (Asia/Calcutta) [1 comments, 2 participants]

[{"error":"Error: NON-FATAL: Lock acquisition failed for /Users/dohitdeegwal/.local/share/claude/versions/2.1.110 (expected in multi-process scenarios)\n at kU_ (/$bunfs/root/src/entrypoints/cli.js:2751:2153)\n at Mt6 (/$bunfs/root/src/entrypoints/cli.js:2751:1233)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-16T09:46:19.690Z"},{"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_011Ca7EkcwjHkShPmq7Wq9Cy"}\n at generate (/$bunfs/root/src/entrypoints/cli.js:11:52871)\n at makeRequest (/$bunfs/root/src/entrypoints/cli.js:50:4943)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-16T09:47:01.700Z"}]

TL;DR

The issue can be mitigated by checking the rate limit status and ensuring that the application is not exceeding the allowed limits, potentially by optimizing requests or implementing a retry mechanism with backoff.

Guidance

• Review the error messages to understand the nature of the rate limit error and identify the specific endpoint or action causing the issue.
• Investigate the application's request patterns to determine if there are any opportunities to optimize or batch requests, reducing the overall load on the rate-limited endpoint.
• Consider implementing a retry mechanism with exponential backoff to handle temporary rate limit errors, allowing the application to recover when the limit is reset.
• Check the documentation for the API or service being used to understand the rate limits and any available mechanisms for increasing the limit or handling errors.

Example

No specific code example can be provided without more context on the application and its implementation, but a general approach to handling rate limit errors might involve catching the error, waiting for a short period, and then retrying the request.

Notes

The provided information does not specify the exact API or service being used, which might have specific guidelines for handling rate limit errors. Understanding the service's documentation and terms of use is crucial for a proper solution.

Recommendation

Apply a workaround by implementing a retry mechanism with backoff to handle rate limit errors, as this approach can help mitigate the issue without requiring changes to the underlying service or API.