This is a tricky problem to solve: is a single token and LLMs can have a hard time spotting the backslash on its own, especially in longer files. This affects all LLMs at a fundamental level which is why you see it in ChatGPT Canvas as well

One solution to explore is to have the v0 agent use tools to invoke a compiler/linter when hitting these categories of errors

But until we solve it, the best way to reduce the chances of running into it is keeping your chat context small. Breaking large files into small files means the LLM can operate in smaller steps, and duplicating your chat can create a new one with no chat history (although this doesn't affect v0 as much as it used to)

mine does this

Thank you for your response. I did the following:

• Roll back to the previous working version
• Duplicate into new chat
• Manually fix these tiny errors.

This is annoying but at the same time an interesting behavior that is common to all AI agents I used. They can be very efficient in doing complex tasks but will fail with simple task such as fixing import.

Exactly the same problem I was facing. To my experience we should stop it as soon as possible once it shows a sign entering dead loop. I don’t know how exactly we are charged but since it’s generating response, it may consume credits.