Hi pmusaraj,
Thanks for the response. Just to clarify — I’m not using the cheapest LLM model to save money. I’m using it to test how the translation feature works in practice. The model choice is not the point.
The point is that when Mistral returns a 503, Discourse AI silently drops the translation with no indication to the admin, no retry queue, and no way to know which topics were missed. That’s the UX issue I’m raising — not the cost of tokens.
I understand this is open source and you’re helping as much as you can. I appreciate that. But “adjust your expectations” is a bit discouraging for someone who is actively testing, reporting bugs, and trying to help improve the product.
I’ll continue following this thread and look forward to a fix.
Thanks,
Denis
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