r/LocalLLM 10h ago

Question How do you catch it when a model silently changes under you?

We run prompts against a few different providers (OpenAI, Anthropic, some stuff through OpenRouter). Every so often something quietly gets worse, the output quality drops, a prompt that worked starts returning junk, or a model gets deprecated and the replacement behaves differently.

Right now we mostly catch it by accident: someone notices, or a customer complains. That feels bad on us, a lot.

How do you all handle this? Do you re-run some kind of fixed eval set on a schedule? Just eyeball it? Have something that alerts you?

Any insights I could use?

Thanks.

0 Upvotes

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6

u/Mundane_Incident_853 9h ago

I'm confused - if it's local, don't you have absolute control over which model you're running?

Are you on the wrong sub?

5

u/whatsupnorton 8h ago

Well if you were running local like this subreddit then you might be able to get some answers, but you’re not so I have no idea

3

u/Weird-Consequence366 9h ago

sha256sum is a good indication