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Improve error handling in JNI functions
feat: add missing o3-mini, o1 models
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feat: add missing gpt-4o-2024-11-20 models and fix o3-mini on wasm
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Update guidance on lite
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feat: add o3, o4, gpt-4.1 and missing specialised / pro models
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The `tiktoken-js` library includes a very helpful function, `getEncodingNameForModel()`. This function is buried in the implementation of `encoding_for_model()` in the rust based `tiktoken` package. This function is very useful when implementing an encoding cache based on the model used. In this case, having a mapping from model -> encoding and then caching based on the encoding name conserves resources since so many models re-use the same encoding. I've exposed a new `get_encoding_name_for_model()` function that behaves similarly to the one in the `tiktoken-js` package, and used it inside of `encoding_for_model()`. Finally, I've also added a test to ensure that this function can be called properly from typescript code, and that it properly throws exceptions in the case of invalid model names. Fixes: #123
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This PR builds on top of #40, which introduces both Java bindings and a split Rust core.