import { Message, TaskConfiguration, Example } from './types';
import * as webllm from "@mlc-ai/web-llm";
declare class TaskFactory {
    /**
     * Converts examples of user-assistant interactions into messages for the chat request.
     * @param examples - An array of example interactions.
     * @returns An array of messages formatted for the chat request.
     */
    convertExamplesToMessages(examples: Example[]): Message[];
    /**
     * Creates a chat completion request based on the provided task configuration.
     * @param config - The task configuration to generate the chat completion request.
     * @returns The chat completion request in the format required by the API.
     */
    createChatCompletionRequest(config: TaskConfiguration): webllm.ChatCompletionRequestNonStreaming;
}
export default TaskFactory;