Add the ability to customize available models for OpenAI-compatible services #13276
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Very nice! :D
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amtoaer
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rtfeldman
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Jun 25, 2024
rtfeldman
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rtfeldman
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Thank you. I've updated it. Please let me know if there are any other issues. |
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Some central documentation for new features would be nice. |
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We will soon need `semantic_index` to be able to use `CompletionProvider`. This is currently impossible due to a cyclic crate dependency, because `CompletionProvider` lives in the `assistant` crate, which depends on `semantic_index`. This PR breaks the dependency cycle by extracting two crates out of `assistant`: `language_model` and `completion`. Only one piece of logic changed: [this code](922fcaf#diff-3857b3707687a4d585f1200eec4c34a7a079eae8d303b4ce5b4fce46234ace9fR61-R69). * As of #13276, whenever we ask a given completion provider for its available models, OpenAI providers would go and ask the global assistant settings whether the user had configured an `available_models` setting, and if so, return that. * This PR changes it so that instead of eagerly asking the assistant settings for this info (the new crate must not depend on `assistant`, or else the dependency cycle would be back), OpenAI completion providers now store the user-configured settings as part of their struct, and whenever the settings change, we update the provider. In theory, this change should not change user-visible behavior...but since it's the only change in this large PR that's more than just moving code around, I'm mentioning it here in case there's an unexpected regression in practice! (cc @amtoaer in case you'd like to try out this branch and verify that the feature is still working the way you expect.) Release Notes: - N/A --------- Co-authored-by: Marshall Bowers <elliott.codes@gmail.com>
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Closes #11984, closes #11075.
Release Notes: