import { R2PipeAsync } from "./r2pipe.js";
/**
 * Class that interacts with the `r2ai` plugin (requires `rlang-python` and `r2i` r2pm packages to be installed).
 * Provides a way to script the interactions with different language models using javascript from inside radare2.
 *
 * @typedef R2AI
 */
export declare class R2AI {
    /**
     * Instance variable that informs if the `r2ai` plugin is loaded, must be true in order to use the rest of the methods of this class.
     *
     * @type {boolean}
     */
    available: boolean;
    /**
     * Name of the model instantiated to be used for the subsequent calls.
     *
     * @type {string}
     */
    model: string;
    r2: R2PipeAsync;
    constructor(r2: R2PipeAsync, num?: number, model?: string);
    checkAvailability(): Promise<boolean>;
    /**
     * Reset conversation messages
     */
    reset(): Promise<void>;
    /**
     * Set the role (system prompt) message for the language model to obey.
     *
     * @param {string} text containing the system prompt
     * @returns {boolean} true if successful
     */
    setRole(msg: string): Promise<boolean>;
    /**
     * Set the Model name or path to the GGUF file to use.
     *
     * @param {string} model name or path to GGUF file
     * @returns {boolean} true if successful
     */
    setModel(modelName: string): Promise<boolean>;
    /**
     * Get the current selected model name.
     *
     * @returns {boolean} model name
     */
    getModel(): Promise<string>;
    /**
     * Get a list of suggestions for model names to use.
     *
     * @returns {string[]} array of strings containing the model names known to work
     */
    listModels(): Promise<string[]>;
    /**
     * Send message to the language model to be appended to the current conversation (see `.reset()`)
     *
     * @param {string} text sent from the user to the language model
     * @returns {string} response from the language model
     */
    query(msg: string): Promise<string>;
}