If that aspect is critical to your workflow, it seems like you could run the model of your choice off of hugging face, on GPU hardware under your control, so the model won't shift out from under you.
That's one good way to reduce the risk, but I don't think it eliminates it.
Even with the same model and the same input, the output is inconsistent. And what I've observed is that as the size of the input and output grows, the consistency and accuracy of the output seems to decrease. It gets more complicated when you don't control the full input, such as a chatbot with customers.
I think the problem remains even if it can be mitigated by freezing the model and the hardware, which carries the tradeoff of requiring a model you can download and run on your own so you can't use the SOTA models.
