// Declaration companion generated from use-generate-image.tsrx.
import type { ImageGenerationResult, StreamChunk } from '@tanstack/ai';
import type { AIDevtoolsDisplayOptions, ConnectConnectionAdapter, GenerationClientState, GenerationFetcher, ImageGenerateInput, InferGenerationOutputFromReturn } from '@tanstack/ai-client';
/**
 * Options for the useGenerateImage hook.
 *
 * @template TOutput - The output type after optional transform (defaults to ImageGenerationResult)
 */
export interface UseGenerateImageOptions<TOutput = ImageGenerationResult> {
    /** Connect-based adapter for streaming transport (SSE, HTTP stream, custom) */
    connection?: ConnectConnectionAdapter;
    /** Direct async function for image generation */
    fetcher?: GenerationFetcher<ImageGenerateInput, ImageGenerationResult>;
    /** Unique identifier for this generation instance */
    id?: string;
    /** Additional body parameters to send with connect-based adapter requests */
    body?: Record<string, any>;
    /** Display options for TanStack AI Devtools. */
    devtools?: AIDevtoolsDisplayOptions;
    /**
     * Callback when images are generated. Can optionally return a transformed value.
     *
     * - Return a non-null value to transform and store it as the result
     * - Return `null` to keep the previous result unchanged
     * - Return nothing (`void`) to store the raw result as-is
     */
    onResult?: (result: ImageGenerationResult) => TOutput | null | void;
    /** Callback when an error occurs */
    onError?: (error: Error) => void;
    /** Callback when progress is reported (0-100) */
    onProgress?: (progress: number, message?: string) => void;
    /** Callback for each stream chunk (connect-based adapter mode only) */
    onChunk?: (chunk: StreamChunk) => void;
}
/**
 * Return type for the useGenerateImage hook.
 *
 * @template TOutput - The output type (after optional transform)
 */
export interface UseGenerateImageReturn<TOutput = ImageGenerationResult> {
    /** Trigger image generation */
    generate: (input: ImageGenerateInput) => Promise<void>;
    /** The generation result containing images, or null */
    result: TOutput | null;
    /** Whether generation is in progress */
    isLoading: boolean;
    /** Current error, if any */
    error: Error | undefined;
    /** Current state of the generation */
    status: GenerationClientState;
    /** Abort the current generation */
    stop: () => void;
    /** Clear result, error, and return to idle */
    reset: () => void;
}
/**
 * Octane hook for generating images using AI models.
 *
 * Supports two transport modes:
 * - **ConnectConnectionAdapter** — Streaming transport (SSE, HTTP stream, custom)
 * - **Fetcher** — Direct async function call
 *
 * @example
 * ```tsx
 * import { useGenerateImage } from '@octanejs/tanstack-ai'
 * import { fetchServerSentEvents } from '@tanstack/ai-client'
 *
 * function ImageGenerator() {
 *   const { generate, result, isLoading, error, reset } = useGenerateImage({
 *     connection: fetchServerSentEvents('/api/generate/image'),
 *   })
 *
 *   return (
 *     <div>
 *       <button onClick={() => generate({ prompt: 'A sunset over mountains' })}>
 *         Generate
 *       </button>
 *       {isLoading && <p>Generating...</p>}
 *       {error && <p>Error: {error.message}</p>}
 *       {result?.images.map((img, i) => (
 *         <img key={i} src={img.url || `data:image/png;base64,${img.b64Json}`} />
 *       ))}
 *     </div>
 *   )
 * }
 * ```
 */
export declare function useGenerateImage<TTransformed = void>(options: Omit<UseGenerateImageOptions, 'onResult'> & {
    onResult?: (result: ImageGenerationResult) => TTransformed;
}): UseGenerateImageReturn<InferGenerationOutputFromReturn<ImageGenerationResult, TTransformed>>;