import { type CombineMessagesOptions, type LLMCompletionMessage, type LLMCountTokensFunction, type LLMCompletionsMessageContent, type LLMProviders, type LLMFileLimits, type LLMAssistanceMessageContent, type LLMAssistanceMessage, type LLMAudioContent } from '../../LLMService.typedefs';
import { type LLMLoggerInterface } from '../../utilities/logger';
import { type MessageContentPartParam } from 'openai/resources/beta/threads/messages';
import { type ThreadCreateParams } from 'openai/resources/beta/threads/threads';
import { type ChatCompletionAssistantMessageParam, type ChatCompletionUserMessageParam, type ChatCompletionContentPart } from 'openai/resources/chat';
export declare class OpenAIEntity {
    static getCountTokensFn(): (messagesContents: (LLMCompletionsMessageContent | LLMAssistanceMessageContent | LLMAudioContent)[]) => Promise<number>;
    static getChatCompletionMessageParam(messages: LLMCompletionMessage[], logger: LLMLoggerInterface | undefined): (ChatCompletionUserMessageParam | ChatCompletionAssistantMessageParam)[];
    static getCompletionUserContentParameters(content: LLMCompletionsMessageContent[], logger: LLMLoggerInterface | undefined): ChatCompletionContentPart[];
    static getThreadAssistanceMessageParam(messages: LLMAssistanceMessage[]): ThreadCreateParams.Message[];
    static getAssistanceContentParameters(content: LLMAssistanceMessageContent[]): MessageContentPartParam[];
    static combineMessagesWithLimit({ history, message, model, countTokensFn, }: CombineMessagesOptions<LLMProviders.OpenAI, LLMCountTokensFunction<LLMProviders.OpenAI, LLMCompletionsMessageContent[]>>): Promise<LLMCompletionMessage[]>;
    static get transcribeLimits(): LLMFileLimits;
    static get transcribeInstructions(): string;
}