import { type OpenAIBatchClientOptions } from '../batch/openai-client.js';
import type { BatchJobRef, BatchJobState, BatchProviderCallContext } from '../types/batch.js';
import type { EmbeddingBatchOutputItem, EmbeddingBatchProvider, EmbeddingBatchProviderInfo, EmbeddingBatchProviderRequest } from './batch.js';
/** Options for OpenAI's embedding batch tier: the key, and optionally the base URL, organization, and `fetch`. */
export type OpenAIEmbeddingBatchProviderOptions = OpenAIBatchClientOptions;
/**
 * OpenAI's Batch API for `/v1/embeddings`: half price, a 24-hour window, and at most 50,000 inputs a
 * batch. Each input is one line; failed lines are read from the error file, so none goes missing.
 */
export declare class OpenAIEmbeddingBatchProvider implements EmbeddingBatchProvider {
    /** Always `openai`, with its batch limits. */
    readonly info: EmbeddingBatchProviderInfo;
    private readonly client;
    constructor(options: OpenAIEmbeddingBatchProviderOptions);
    /** Uploads one line per input and creates a batch over them. */
    submit(request: EmbeddingBatchProviderRequest, context: BatchProviderCallContext): Promise<BatchJobRef>;
    /** Reads a batch's status and counts. */
    poll(ref: BatchJobRef, context: BatchProviderCallContext): Promise<BatchJobState>;
    /** Every input's vector or error, from the output and error files. */
    results(ref: BatchJobRef, context: BatchProviderCallContext): Promise<EmbeddingBatchOutputItem[]>;
    /** Cancels a batch. Inputs already embedded keep their results. */
    cancel(ref: BatchJobRef, context: BatchProviderCallContext): Promise<BatchJobState>;
}