Error: Code Interpreter Failed

What Does This Error Mean?

The "Error: Code Interpreter Failed" message appears when Assist's code interpreter encounters an issue while trying to process or execute a task. This typically means the system was unable to complete the requested operation — but don't worry, it's usually easy to resolve.

Common Causes

Cause	Description
File format not supported	The uploaded file may be in a format the interpreter can't process (e.g., corrupted files, uncommon file types).
File too large	The file exceeds the size limit the interpreter can handle in a single operation.
Complex or malformed data	The data inside the file may contain errors, unusual formatting, or excessive complexity.
Timeout	The task took too long to process and the interpreter timed out before completing.
Temporary system issue	Occasionally, a brief server-side hiccup can cause the interpreter to fail unexpectedly.

How to Fix It

1. Retry the Task

Sometimes the error is temporary. Simply try running the same request again — this resolves the issue in many cases.

2. Check Your File

Make sure the file is in a supported format (e.g., .csv , .xlsx , .pdf , .txt , .json ).
Ensure the file is not corrupted — try opening it on your device first to confirm it works.
Check that the file size is reasonable — if it's very large, try splitting it into smaller parts.

3. Simplify Your Request

If you're asking the interpreter to do multiple things at once, try breaking it into smaller steps.
Reduce the complexity of the data or the number of rows/columns being processed.

4. Re-upload the File

Remove the file and upload it again to rule out any upload errors.
If possible, try saving the file in a different format (e.g., save an .xlsx as .csv ) and re-upload.

5. Clear the Conversation and Start Fresh

Start a new conversation and re-upload your file with a clear, simple prompt.

Still Not Working?

If you've tried all the steps above and the error persists:

Note down what you were trying to do and the file type you were using.
Reach out to your team admin or contact support so the issue can be investigated further.

Quick Tips to Avoid This Error

✅ Use clean, well-structured files
✅ Stick to common file formats
✅ Keep file sizes manageable
✅ Use clear, specific prompts when asking Assist to process data
✅ Break large tasks into smaller, simpler steps