import { type Part, type GoogleGenAI, type GenerateContentParameters, type Content, type ContentListUnion } from '@google/genai';
import { type CombineMessagesOptions, type LLMCountTokensFunction, type LLMCompletionMessage, type LLMModel, type LLMProviders, type LLMUploadedFile, type LLMFileLimits, type LLMAssistanceMessage, type LLMHistoryEntry } from '../../LLMService.typedefs';
import { type LLMLoggerInterface } from '../../utilities/logger';
export declare class GoogleGenerativeAIEntity {
    static getContentParameters(options: {
        model: LLMModel<LLMProviders.GoogleGenerativeAI>;
        messages: Content[];
        instructions?: string;
        abortSignal?: AbortSignal;
        responseConfig?: {
            responseMimeType?: string;
            responseSchema?: any;
        };
    }): GenerateContentParameters;
    static getFileDataParts(uploadedFiles: LLMUploadedFile[]): Pick<Part, 'fileData'>[];
    static getTextParts(messages: string[]): Pick<Part, 'text'>[];
    /**
     * Replays a restored conversation as Gemini `Content` turns: a past tool
     * round becomes a model turn of `functionCall` parts followed by a user turn
     * of the `functionResponse` parts answering them, and a context entry becomes
     * a user turn — Gemini has no mid-conversation system role, so context rides
     * as the only turn kind it accepts beside a model turn. A result entry
     * produces no turn of its own; it is emitted with the call it answers.
     */
    static getHistoryContents(history: LLMHistoryEntry[], instance: GoogleGenAI, logger: LLMLoggerInterface | undefined): Promise<Content[]>;
    private static getToolRoundContents;
    static getContent(message: LLMCompletionMessage | LLMAssistanceMessage, instance: GoogleGenAI, logger: LLMLoggerInterface | undefined): Promise<Content>;
    private static extractMultimodalContent;
    private static contentToText;
    static getCountTokensFn(instance: GoogleGenAI): LLMCountTokensFunction<LLMProviders.GoogleGenerativeAI, ContentListUnion>;
    static combineMessagesWithLimit({ history, message, model, countTokensFn, instance, logger, }: CombineMessagesOptions<LLMProviders.GoogleGenerativeAI, LLMCountTokensFunction<LLMProviders.GoogleGenerativeAI, ContentListUnion>>): Promise<Content[]>;
    static get transcribeLimits(): LLMFileLimits;
    static get transcribeInstructions(): string;
}