import { TypeChatLanguageModel } from "typechat";
interface QuivrLanguageModelConfig {
    endpoint?: string;
    model?: string;
    max_tokens?: number;
}
/**
 * Creates a language model encapsulation of a Quivr REST API from environnement variables.
 * @param env Envirement variables
 * @param additionalConfig The additionnal configuration for the QuivrLanguageModel :
 *          endpoint: API endpoint for Quivr. Defaults to https://api.quivr.app
 *          model: Model to use in the Quivr instance. Defaults to gpt-3.5-turbo-0613
 *          max_tokens: Maximum tokens. Defaults to 250
 */
export declare function createQuivrLanguageModel(env: Record<string, string | undefined>, additionalConfig?: QuivrLanguageModelConfig): TypeChatLanguageModel;
/**
 * Creates a language model encapsulation of a Quivr REST API endpoint with parameters.
 * @param apiKey The Quivr API key.
 * @param brain_id The brain to use for this model
 * @param options The additionnal configuration for the QuivrLanguageModel :
 *          endpoint: API endpoint for Quivr. Defaults to https://api.quivr.app
 *          model: Model to use in the Quivr instance. Defaults to gpt-3.5-turbo-0613
 *          max_tokens: Maximum tokens. Defaults to 250
 */
export declare const createQuivrLanguageModelExplicit: (apiKey: string, brain_id: string, options?: QuivrLanguageModelConfig) => TypeChatLanguageModel;
export {};