type OllamaModelOptions = {
    top_k?: number;
    top_p?: number;
    stop?: string;
    temperature?: number;
    repeat_penalty?: number;
    repeat_last_n?: number;
    num_threads?: number;
    num_gpu?: number;
    num_gqa?: number;
    num_ctx?: number;
    mirostat?: number;
    mirostat_eta?: number;
    mirostat_tau?: number;
    tfs_z?: number;
};

declare namespace OllamaEmbeddingTypes {
    type Request = {
        model: string;
        prompt: string;
        options?: OllamaModelOptions;
    };
    type RequestOptions = {
        apiUrl?: string;
        fetch?: typeof fetch;
        headers?: Record<string, string>;
        signal?: AbortSignal;
    };
    type Response = {
        embedding: number[];
    };
}
/**
 * Calculate text embeddings using a model served by Ollama.
 *
 * @see https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-embeddings
 *
 * @param request The request body sent to Ollama. It contains the prompt, the model, and some options.
 * @param options
 * @param options.apiUrl The url where the ollama embedding endpoint is served. Defaults to http://127.0.0.1:11434/api/embeddings.
 * @param options.fetch A custom implementation of fetch. Defaults to globalThis.fetch.
 * @param options.headers Optionally add additional HTTP headers to the request.
 * @param options.signal An AbortSignal that can be used to abort the fetch request.
 * @returns An object consisting of the text embeddings for the given prompt.
 */
declare function run(request: OllamaEmbeddingTypes.Request, options: OllamaEmbeddingTypes.RequestOptions): Promise<OllamaEmbeddingTypes.Response>;
/**
 * An object that encapsulates methods for calling the Ollama Embeddings API.
 */
declare class OllamaEmbedding {
    static run: typeof run;
}

export { OllamaEmbedding, OllamaEmbeddingTypes };