import type { LlmExecutionTools } from '../../execution/LlmExecutionTools';
import type { ChatPromptResult } from '../../execution/PromptResult';
import type { Prompt } from '../../types/Prompt';
import type { string_markdown } from '../../types/typeAliases';
import type { string_markdown_text } from '../../types/typeAliases';
import type { string_title } from '../../types/typeAliases';
import type { OpenAiAssistantExecutionToolsOptions } from './OpenAiAssistantExecutionToolsOptions';
import { OpenAiExecutionTools } from './OpenAiExecutionTools';
/**
 * Execution Tools for calling OpenAI API Assistants
 *
 * This is usefull for calling OpenAI API with a single assistant, for more wide usage use `OpenAiExecutionTools`.
 *
 * @public exported from `@promptbook/openai`
 */
export declare class OpenAiAssistantExecutionTools extends OpenAiExecutionTools implements LlmExecutionTools {
    private readonly assistantId;
    /**
     * Creates OpenAI Execution Tools.
     *
     * @param options which are relevant are directly passed to the OpenAI client
     */
    constructor(options: OpenAiAssistantExecutionToolsOptions);
    get title(): string_title & string_markdown_text;
    get description(): string_markdown;
    /**
     * Calls OpenAI API to use a chat model.
     */
    callChatModel(prompt: Pick<Prompt, 'content' | 'parameters' | 'modelRequirements' | 'format'>): Promise<ChatPromptResult>;
}
/**
 * TODO: [🧠][🧙‍♂️] Maybe there can be some wizzard for thoose who want to use just OpenAI
 * TODO: Maybe make custom OpenAiError
 * TODO: [🧠][🈁] Maybe use `isDeterministic` from options
 * TODO: [🧠][🌰] Allow to pass `title` for tracking purposes
 */