Add support for options and dynamic fetching of Gemini models #12
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This commit adds the following changes: 1. Introduced a `GeminiOptions` class that extends `llm.Options` and provides configuration options for the Gemini models, such as `max_tokens`, `temperature`, `top_p`, and `top_k`. 2. Implemented a `fetch_available_models` function that uses the Gemini API to dynamically fetch the list of available models and their supported generation methods. 3. Updated the `register_models` function to use the `fetch_available_models` function to register all available Gemini models, rather than hardcoding a limited set. 4. Similarly, the `register_embedding_models` function was updated to dynamically register all Gemini embedding models. These changes make the Gemini integration more robust and flexible, allowing it to adapt to changes in the available Gemini models without requiring manual updates to the code.
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This commit adds the following changes:
Introduced a
GeminiOptionsclass that extendsllm.Optionsand provides configuration options for the Gemini models, such asmax_tokens,temperature,top_p, andtop_k.Implemented a
fetch_available_modelsfunction that uses the Gemini API to dynamically fetch the list of available models and their supported generation methods.Updated the
register_modelsfunction to use thefetch_available_modelsfunction to register all available Gemini models, rather than hardcoding a limited set.Similarly, the
register_embedding_modelsfunction was updated to dynamically register all Gemini embedding models.These changes make the Gemini integration more robust and flexible, allowing it to adapt to changes in the available Gemini models without requiring manual updates to the code.