added Gemini metadata

[sfahad1414]

Summary by CodeRabbit

• New Features
  • Introduced a new section for Google AI models, enhancing configurability with hyperparameters like temperature, max_tokens, top_p, and stop.
  • Users can now specify multiple input types for the stop parameter, allowing greater control over response generation.

[coderabbitai[bot]]

Walkthrough

The pull request introduces a new section for Google AI models under the gemini key in the metadata/llm_metadata.yml file. This section outlines several hyperparameters, including temperature, max_tokens, model, top_p, n, and stop. Each hyperparameter is defined with its type, default value, constraints, and a brief description. Notably, the stop hyperparameter can accept various input types to indicate the end of a generated response, enhancing the configurability of the Gemini models.

Changes

Files	Change Summary
metadata/llm_metadata.yml	Added gemini object with properties temperature, max_tokens, model, top_p, n, and stop.

Poem

In the meadow, bright and free,
A gemini model sings with glee.
With tokens set and values fine,
It crafts responses, oh so divine!
A hop, a skip, a leap in code,
Configurable paths on this new road! 🐇✨

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