import OpenAI from 'openai';
import { LLMBase, LLMConfig } from './llm-base';
/**
 * OpenAI Helper - Uses only OpenAI API and models
 * Supports: GPT-4, GPT-3.5, etc.
 */
export default class OpenAIHelper extends LLMBase {
    constructor(apiKey?: string, openaiInstance?: OpenAI, model?: string);
    /**
     * Create OpenAI helper with model from remote config
     * Falls back to env vars and defaults if remote config fails
     */
    static createWithRemoteConfig(apiKey?: string, openaiInstance?: OpenAI): Promise<OpenAIHelper>;
    /**
     * Update the model from remote config
     * Useful for long-running instances that need to pick up config changes
     */
    updateModelFromRemoteConfig(): Promise<void>;
    protected createOpenAIInstance(config: LLMConfig): OpenAI;
    protected getApiKey(): string;
    protected getProviderName(): string;
    getAvailableModels(): Promise<string[]>;
    /**
     * Generate embedding using OpenAI's text-embedding models
     * This is used for vector search functionality
     */
    generateEmbedding(text: string, model?: string): Promise<number[]>;
    /**
     * Generate embeddings for multiple texts in one request
     * More efficient for batch processing
     */
    generateEmbeddings(texts: string[], model?: string): Promise<number[][]>;
}