import { UseGenerationOptions, UseGenerationReturn } from "./use-generation.js";
import { Accessor } from "solid-js";
import { AIDevtoolsDisplayOptions, ConnectConnectionAdapter, GenerationClientState, GenerationFetcher, GenerationPersistenceOptions, ImageGenerateInput, InferGenerationOutputFromReturn } from "@tanstack/ai-client";
import { ImageGenerationResult, StreamChunk } from "@tanstack/ai";

//#region src/use-generate-image.d.ts

/**
 * Options for the useGenerateImage hook.
 *
 * @template TOutput - The transformed output type (defaults to ImageGenerationResult)
 */
interface UseGenerateImageOptions<TOutput = ImageGenerationResult> extends Pick<UseGenerationOptions<ImageGenerateInput, ImageGenerationResult, TOutput>, 'persistence' | 'threadId' | 'hydrateGeneration' | 'joinRun' | 'byok' | 'byokProvider'> {
  /** Connect-based adapter for streaming transport (SSE, HTTP stream, custom) */
  connection?: ConnectConnectionAdapter;
  /** Direct async function for image generation */
  fetcher?: GenerationFetcher<ImageGenerateInput, ImageGenerationResult>;
  /** 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 transformed output type (defaults to ImageGenerationResult)
 */
interface UseGenerateImageReturn<TOutput = ImageGenerationResult> extends Omit<UseGenerationReturn<TOutput>, 'generate'> {
  /** Trigger image generation */
  generate: (input: ImageGenerateInput) => Promise<void>;
  /** The generation result containing images, or null */
  result: Accessor<TOutput | null>;
  /** Whether generation is in progress */
  isLoading: Accessor<boolean>;
  /** Current error, if any */
  error: Accessor<Error | undefined>;
  /** Current state of the generation */
  status: Accessor<GenerationClientState>;
}
/**
 * Solid 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 '@tanstack/ai-solid'
 * 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 src={img.url || `data:image/png;base64,${img.b64Json}`} />
 *       ))}
 *     </div>
 *   )
 * }
 * ```
 */
declare function useGenerateImage<TTransformed = void>(options: Omit<UseGenerateImageOptions, 'onResult' | 'persistence' | 'threadId'> & {
  onResult?: (result: ImageGenerationResult) => TTransformed;
} & GenerationPersistenceOptions): UseGenerateImageReturn<InferGenerationOutputFromReturn<ImageGenerationResult, TTransformed>>;
//#endregion
export { UseGenerateImageOptions, UseGenerateImageReturn, useGenerateImage };
//# sourceMappingURL=use-generate-image.d.ts.map