/**
 * Internal dependencies
 */
import GenerativeAiModel from './generative-ai-model';
import ChatSession from './chat-session';
import type { ServiceResource, ServiceMetadata, ModelMetadata, ModelParams, Content, Part, Candidates, AsyncCandidatesGenerator } from '../types';
/**
 * Service class.
 *
 * @since 0.1.0
 */
export default class GenerativeAiService {
    metadata: ServiceMetadata;
    models: Record<string, ModelMetadata>;
    /**
     * Constructor.
     *
     * @since 0.1.0
     *
     * @param service - Service object.
     */
    constructor(service: ServiceResource);
    /**
     * Gets the service slug.
     *
     * @since 0.1.0
     *
     * @returns Service slug.
     */
    getServiceSlug(): string;
    /**
     * Gets the service metadata.
     *
     * @since 0.7.0
     *
     * @returns Service metadata.
     */
    getServiceMetadata(): ServiceMetadata;
    /**
     * Lists the available generative model slugs and their capabilities.
     *
     * @since 0.1.0
     *
     * @returns Metadata for each model, mapped by model slug.
     */
    listModels(): Record<string, ModelMetadata>;
    /**
     * Gets a generative model instance from the service.
     *
     * @since 0.3.0
     *
     * @param modelParams - Model parameters. At a minimum this must include the unique "feature" identifier.
     * @returns Generative AI model instance.
     */
    getModel(modelParams: ModelParams): GenerativeAiModel;
    /**
     * Generates text content using the service.
     *
     * This is a short-hand method for `service.getModel( modelParams ).generateText( content )`.
     *
     * @since 0.1.0
     *
     * @param content     - Content data to pass to the model, including the prompt and optional history.
     * @param modelParams - Model parameters. At a minimum this must include the unique "feature" identifier.
     * @returns Model response candidates with the generated text content.
     */
    generateText(content: string | Part[] | Content | Content[], modelParams: ModelParams): Promise<Candidates>;
    /**
     * Generates text content using the service, streaming the response.
     *
     * This is a short-hand method for `service.getModel( modelParams ).streamGenerateText( content )`.
     *
     * @since 0.3.0
     *
     * @param content     - Content data to pass to the model, including the prompt and optional history.
     * @param modelParams - Model parameters. At a minimum this must include the unique "feature" identifier.
     * @returns The generator that yields chunks of response candidates with the generated text content.
     */
    streamGenerateText(content: string | Part[] | Content | Content[], modelParams: ModelParams): Promise<AsyncCandidatesGenerator>;
    /**
     * Starts a multi-turn chat session using the service.
     *
     * This is a short-hand method for `service.getModel( modelParams ).startChat( history )`.
     *
     * @since 0.1.0
     *
     * @param history     - Chat history.
     * @param modelParams - Model parameters.
     * @returns Chat session.
     */
    startChat(history: Content[], modelParams: ModelParams): ChatSession;
    /**
     * Generates an image using the service.
     *
     * This is a short-hand method for `service.getModel( modelParams ).generateImage( content )`.
     *
     * @since 0.5.0
     *
     * @param content     - Content data to pass to the model, including the prompt and optional history.
     * @param modelParams - Model parameters. At a minimum this must include the unique "feature" identifier.
     * @returns Model response candidates with the generated image.
     */
    generateImage(content: string | Part[] | Content | Content[], modelParams: ModelParams): Promise<Candidates>;
    /**
     * Transforms text to speech using the service.
     *
     * This is a short-hand method for `service.getModel( modelParams ).textToSpeech( content )`.
     *
     * @since 0.7.0
     *
     * @param content     - The content to transform to speech.
     * @param modelParams - Model parameters. At a minimum this must include the unique "feature" identifier.
     * @returns Model response candidates with the generated speech.
     */
    textToSpeech(content: string | Part[] | Content | Content[], modelParams: ModelParams): Promise<Candidates>;
}
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