import type OpenAI from "openai";
import type { ImagesResponse } from "openai/resources/images";
import { type GenerateImage, type GenerateImageOptions, type ImagePrompt } from "@use-crux/core";
/** OpenAI-only image controls forwarded to the native Images API. */
export interface OpenAIImageExtra extends Record<string, unknown> {
    readonly background?: "transparent" | "opaque" | "auto" | null;
    readonly input_fidelity?: "high" | "low" | null;
    readonly moderation?: "low" | "auto" | null;
    readonly output_compression?: number | null;
    readonly output_format?: "png" | "jpeg" | "webp" | null;
    readonly quality?: "standard" | "hd" | "low" | "medium" | "high" | "auto" | null;
    readonly user?: string;
}
/**
 * Flat OpenAI image operation attached to a bound adapter.
 *
 * @example
 * ```ts
 * const result = await openai.generateImage({ model: 'gpt-image-1', prompt: 'A quiet canal' })
 * await assetStore.put(result.image) // optional, explicit persistence
 * ```
 */
export type OpenAIGenerateImage = GenerateImage<string, OpenAIImageExtra, ImagesResponse>;
type OpenAIImageInput = GenerateImageOptions<string, OpenAIImageExtra, ImagePrompt>;
/** Create one stateless OpenAI image operation sharing the bound SDK client. */
export declare function createOpenAIGenerateImage(client: OpenAI): OpenAIGenerateImage;
/** Define OpenAI image mechanics for first-class provider-runtime compilation. */
export declare function createOpenAIImageOperation(client: OpenAI): import("@use-crux/core/adapter").CompletedOperationDefinition<string, OpenAIImageInput, {
    options: {
        model: string;
        n?: number;
        seed?: number;
        abortSignal?: AbortSignal;
        timeout?: import("@use-crux/core").OperationTimeout;
        guardrails?: readonly import("@use-crux/core").Guardrail[];
        safety?: import("@use-crux/core/safety").SafetyTuneOptions;
        size?: `${number}x${number}`;
        aspectRatio?: never;
        input?: undefined;
        prompt: ImagePrompt;
        extra?: OpenAIImageExtra | undefined;
    } | {
        model: string;
        n?: number;
        seed?: number;
        abortSignal?: AbortSignal;
        timeout?: import("@use-crux/core").OperationTimeout;
        guardrails?: readonly import("@use-crux/core").Guardrail[];
        safety?: import("@use-crux/core/safety").SafetyTuneOptions;
        size?: `${number}x${number}`;
        aspectRatio?: never;
        input?: never;
        prompt: ImagePrompt;
        extra?: OpenAIImageExtra | undefined;
    } | {
        model: string;
        n?: number;
        seed?: number;
        abortSignal?: AbortSignal;
        timeout?: import("@use-crux/core").OperationTimeout;
        guardrails?: readonly import("@use-crux/core").Guardrail[];
        safety?: import("@use-crux/core/safety").SafetyTuneOptions;
        size?: never;
        aspectRatio?: `${number}:${number}`;
        input?: undefined;
        prompt: ImagePrompt;
        extra?: OpenAIImageExtra | undefined;
    } | {
        model: string;
        n?: number;
        seed?: number;
        abortSignal?: AbortSignal;
        timeout?: import("@use-crux/core").OperationTimeout;
        guardrails?: readonly import("@use-crux/core").Guardrail[];
        safety?: import("@use-crux/core/safety").SafetyTuneOptions;
        size?: never;
        aspectRatio?: `${number}:${number}`;
        input?: never;
        prompt: ImagePrompt;
        extra?: OpenAIImageExtra | undefined;
    };
    prompt: import("@use-crux/core").LoweredImagePrompt;
}, OpenAI.Images.ImagesResponse & {
    _request_id?: string | null;
}, import("@use-crux/core/adapter").GenerateImagePayload<OpenAI.Images.ImagesResponse & {
    _request_id?: string | null;
}, {
    size?: "1024x1024" | "1536x1024" | "1024x1536" | undefined;
    quality?: "high" | "medium" | "low" | undefined;
    background?: "opaque" | "transparent" | undefined;
    created: number;
}, never>, {
    kind: string;
    count: number;
}>;
export {};