/**
 * OpenAI embedding adapter
 *
 * Supports OpenAI's text-embedding models including:
 * - text-embedding-3-small (default, 1536 dims, cheapest)
 * - text-embedding-3-large (3072 dims, highest quality)
 * - text-embedding-ada-002 (legacy, 1536 dims)
 *
 * @packageDocumentation
 */
import type { EmbeddingProvider, OpenAIEmbeddingConfig, EmbeddingResult, BatchEmbeddingResult } from '../types/graphrag.js';
import { BaseEmbeddingAdapter } from './base.js';
/**
 * OpenAI embedding adapter
 */
export declare class OpenAIEmbeddingAdapter extends BaseEmbeddingAdapter {
    private readonly apiKey;
    private readonly baseUrl;
    private readonly modelName;
    private readonly dims;
    constructor(config: OpenAIEmbeddingConfig);
    get provider(): EmbeddingProvider;
    get model(): string;
    get dimensions(): number;
    isConfigured(): boolean;
    embed(text: string): Promise<EmbeddingResult>;
    embedBatch(texts: string[]): Promise<BatchEmbeddingResult>;
}
/**
 * Create an OpenAI embedding adapter from environment variables
 *
 * @param model - Model to use (default: 'text-embedding-3-small')
 * @param dimensions - Custom dimensions for text-embedding-3-* models
 *
 * @example
 * ```typescript
 * // Using default model (cheapest, good quality)
 * const adapter = createOpenAIEmbeddingAdapter();
 *
 * // Using highest quality model
 * const adapter = createOpenAIEmbeddingAdapter('text-embedding-3-large');
 *
 * // Using smaller dimensions for efficiency
 * const adapter = createOpenAIEmbeddingAdapter('text-embedding-3-small', 512);
 * ```
 */
export declare function createOpenAIEmbeddingAdapter(model?: 'text-embedding-3-small' | 'text-embedding-3-large' | 'text-embedding-ada-002', dimensions?: number, apiKey?: string): OpenAIEmbeddingAdapter;
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