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

[{"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_011CaCrcaKxbGnuRVHcpoT2L"}\n at generate (/$bunfs/root/src/entrypoints/cli.js:11:53135)\n at makeRequest (/$bunfs/root/src/entrypoints/cli.js:50:4943)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-19T09:00:16.295Z"}]

TL;DR

Implementing a local cache memory and optimizing file reading by using offset and limit parameters can help mitigate the issue of excessive token usage and file read errors.

Guidance

• The errors suggest that the application is exceeding the maximum allowed tokens when reading files, indicating a potential issue with how files are being accessed or processed.
• To verify the issue, monitor the application's token usage and file read operations to identify patterns or specific files that are causing the errors.
• Consider implementing a local cache to reduce the number of requests made to the API and minimize token usage.
• When reading files, use offset and limit parameters to read specific portions of the file instead of reading the entire file, as suggested by the MaxFileReadTokenExceededError.

Example

No specific code example can be provided without more context, but the general approach would involve modifying the file reading logic to use offset and limit parameters, such as:

// Pseudocode example, actual implementation depends on the specific API or library being used
const fileContent = await readFileWithOffsetAndLimit(filePath, offset, limit);

Notes

The provided error messages and issue description suggest a complex issue with multiple potential causes. The suggested approach focuses on mitigating the symptoms, but a more thorough investigation into the application's logic and API interactions may be necessary to identify and address the root cause.

Recommendation

Apply workaround: Implement a local cache and optimize file reading using offset and limit parameters to reduce token usage and mitigate file read errors. This approach can help alleviate the immediate issue, but further investigation and potential code changes may be necessary for a long-term solution.