import OpenAI from 'openai';
import type { AvailableModel } from '../../execution/AvailableModel';
import type { LlmExecutionTools } from '../../execution/LlmExecutionTools';
import type { ChatPromptResult } from '../../execution/PromptResult';
import type { CompletionPromptResult } from '../../execution/PromptResult';
import type { EmbeddingPromptResult } from '../../execution/PromptResult';
import type { Usage } from '../../execution/Usage';
import type { Prompt } from '../../types/Prompt';
import type { string_markdown } from '../../types/typeAliases';
import type { string_markdown_text } from '../../types/typeAliases';
import type { string_model_name } from '../../types/typeAliases';
import type { string_title } from '../../types/typeAliases';
import { computeOpenAiUsage } from './computeOpenAiUsage';
import type { OpenAiCompatibleExecutionToolsNonProxiedOptions } from './OpenAiCompatibleExecutionToolsOptions';
/**
 * Execution Tools for calling OpenAI API or other OpenAI compatible provider
 *
 * @public exported from `@promptbook/openai`
 */
export declare abstract class OpenAiCompatibleExecutionTools implements LlmExecutionTools {
    protected readonly options: OpenAiCompatibleExecutionToolsNonProxiedOptions;
    /**
     * OpenAI API client.
     */
    private client;
    /**
     * Rate limiter instance
     */
    private limiter;
    /**
     * Creates OpenAI compatible Execution Tools.
     *
     * @param options which are relevant are directly passed to the OpenAI compatible client
     */
    constructor(options: OpenAiCompatibleExecutionToolsNonProxiedOptions);
    abstract get title(): string_title & string_markdown_text;
    abstract get description(): string_markdown;
    getClient(): Promise<OpenAI>;
    /**
     * Check the `options` passed to `constructor`
     */
    checkConfiguration(): Promise<void>;
    /**
     * List all available OpenAI compatible models that can be used
     */
    listModels(): Promise<ReadonlyArray<AvailableModel>>;
    /**
     * Calls OpenAI compatible API to use a chat model.
     */
    callChatModel(prompt: Pick<Prompt, 'content' | 'parameters' | 'modelRequirements' | 'format'>): Promise<ChatPromptResult>;
    /**
     * Calls OpenAI API to use a complete model.
     */
    callCompletionModel(prompt: Pick<Prompt, 'content' | 'parameters' | 'modelRequirements'>): Promise<CompletionPromptResult>;
    /**
     * Calls OpenAI compatible API to use a embedding model
     */
    callEmbeddingModel(prompt: Pick<Prompt, 'content' | 'parameters' | 'modelRequirements'>): Promise<EmbeddingPromptResult>;
    /**
     * Get the model that should be used as default
     */
    protected getDefaultModel(defaultModelName: string_model_name): AvailableModel;
    /**
     * List all available models (non dynamically)
     *
     * Note: Purpose of this is to provide more information about models than standard listing from API
     */
    protected abstract get HARDCODED_MODELS(): ReadonlyArray<AvailableModel>;
    /**
     * Computes the usage of the OpenAI API based on the response from OpenAI Compatible API
     */
    protected abstract computeUsage(...args: Parameters<typeof computeOpenAiUsage>): Usage;
    /**
     * Default model for chat variant.
     */
    protected abstract getDefaultChatModel(): AvailableModel;
    /**
     * Default model for completion variant.
     */
    protected abstract getDefaultCompletionModel(): AvailableModel;
    /**
     * Default model for completion variant.
     */
    protected abstract getDefaultEmbeddingModel(): AvailableModel;
}
/**
 * TODO: [🛄] Some way how to re-wrap the errors from `OpenAiCompatibleExecutionTools`
 * TODO: [🛄] Maybe make custom `OpenAiCompatibleError`
 * TODO: [🧠][🈁] Maybe use `isDeterministic` from options
 * TODO: [🧠][🌰] Allow to pass `title` for tracking purposes
 */