/**
 * AI LLM endpoint params Google
 *
 * AI LLM endpoint params Google object
 */
export interface AiLlmEndpointParamsGoogle {
    /**
     * The type of the AI LLM endpoint params object for Google.
     * This parameter is **required**.
     * Example: google_params
     */
    type: 'google_params';
    /**
     * The temperature is used for sampling during response generation, which occurs when `top-P` and `top-K` are applied.
     * Temperature controls the degree of randomness in token selection.
     */
    temperature?: number;
    /**
     * `Top-P` changes how the model selects tokens for output. Tokens are selected from the most (see `top-K`) to least probable
     * until the sum of their probabilities equals the `top-P` value.
     * Example: 1
     */
    top_p?: number;
    /**
     * `Top-K` changes how the model selects tokens for output. A `top-K` of 1 means the next selected token is
     * the most probable among all tokens in the model's vocabulary (also called greedy decoding),
     * while a `top-K` of 3 means that the next token is selected from among the three most probable tokens by using temperature.
     * Example: 1
     */
    top_k?: number;
}