claude-code - 💡(How to fix) Fix [Bug] Model exhibits inconsistent reasoning, instruction non-compliance, and context degradation in extended sessions [2 comments, 3 participants]

[{"error":"Error: Request was aborted.\n at makeRequest (B:/~BUN/root/src/entrypoints/cli.js:50:3448)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-29T14:47:39.185Z"},{"error":"Error: Request was aborted.\n at makeRequest (B:/~BUN/root/src/entrypoints/cli.js:50:3448)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-29T20:00:40.167Z"},{"error":"Error: Request was aborted.\n at makeRequest (B:/~BUN/root/src/entrypoints/cli.js:50:3448)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-29T20:29:28.654Z"},{"error":"Error: 429 {"type":"error","error":{"type":"rate_limit_error","message":"Rate limited"},"request_id":"req_011CaZFvQiWm9ZL9WUvyqjg5"}\n at generate (B:/~BUN/root/src/entrypoints/cli.js:11:57670)\n at makeRequest (B:/~BUN/root/src/entrypoints/cli.js:50:4943)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-30T03:37:48.906Z"},{"error":"Error: 400 {"type":"error","error":{"type":"invalid_request_error","message":"prompt is too long: 1005508 tokens > 1000000 maximum"},"request_id":"req_011CaZj6Zex8N4U35cvtY2nJ"}\n at generate (B:/~BUN/root/src/entrypoints/cli.js:11:57448)\n at makeRequest (B:/~BUN/root/src/entrypoints/cli.js:50:4943)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-30T09:34:11.668Z"},{"error":"MaxFileReadTokenExceededError: File content (1108324 tokens) exceeds maximum allowed tokens (25000). Use offset and limit parameters to read specific portions of the file, or search for specific content instead of reading the whole file.\n at Su7 (B:/~BUN/root/src/entrypoints/cli.js:4908:12810)\n at processTicksAndRejections (native:7:39)","timestamp":"2026-04-30T09:48:07.086Z"},{"error":"MaxFileReadTokenExceededError: File content (137732 tokens) exceeds maximum allowed tokens (25000). Use offset …

TL;DR

The model's performance regression and systemic defects can be addressed by re-examining the conversation history handling, instruction following, and error management, potentially requiring adjustments to the model's configuration or training data.

Guidance

• Review the conversation history handling to ensure the model properly reads and retains context, potentially by adjusting the JSONL conversation history processing.
• Verify that the model correctly follows user instructions, such as reading the conversation history, to prevent misinterpretation and hallucination.
• Investigate the error management to handle cases like rate limiting and invalid requests, potentially by implementing retry mechanisms or adjusting the request parameters.
• Consider re-training the model with a focus on stability and consistency in long-context sessions, using previous models like Claude Sonnet 4.5 or Opus 4.6 as a reference.
• Monitor the model's performance over time to identify any patterns or correlations with the sharp decline in performance after new model releases.

Example

No specific code snippet can be provided without more context, but the error messages suggest that adjusting the makeRequest function in cli.js to handle rate limiting and invalid requests might be necessary.

Notes

The provided information is incomplete, and the content was truncated, which limits the ability to provide a comprehensive solution. Further investigation into the model's configuration, training data, and error handling is necessary to fully address the issues.

Recommendation

Apply a workaround by re-examining the conversation history handling and error management, as the root cause of the performance regression is unclear and may require significant changes to the model or its training data.