/**
 * Example: AI Chat with File Uploads using Vercel AI SDK v5
 *
 * This example demonstrates how to properly integrate file uploads
 * with the useChat hook from @ai-sdk/react.
 *
 * Key concepts:
 * 1. Using sendMessage with files parameter
 * 2. Converting File[] to FileList
 * 3. Handling different file types (images, text, PDFs)
 * 4. Displaying uploaded files in the chat
 */
interface SimpleFileUploadChatProps {
    apiEndpoint?: string;
    maxFileSize?: number;
    allowedFileTypes?: string[];
}
export declare function SimpleFileUploadChat({ apiEndpoint, maxFileSize, allowedFileTypes }: SimpleFileUploadChatProps): import("react/jsx-runtime").JSX.Element;
/**
 * Server-side API route example (/api/chat/route.ts)
 *
 * ```typescript
 * import { openai } from '@ai-sdk/openai'
 * import { convertToModelMessages, streamText, UIMessage } from 'ai'
 *
 * export async function POST(req: Request) {
 *   const { messages, fileCount, timestamp }: {
 *     messages: UIMessage[],
 *     fileCount?: number,
 *     timestamp?: number
 *   } = await req.json()
 *
 *   console.log('Received message with', fileCount, 'files at', timestamp)
 *
 *   const result = streamText({
 *     model: openai('gpt-4o'), // Use a model that supports vision for images
 *     system: 'You are a helpful assistant that can analyze files and images.',
 *     messages: convertToModelMessages(messages),
 *   })
 *
 *   return result.toUIMessageStreamResponse()
 * }
 * ```
 *
 * Key features of this approach:
 *
 * 1. **File Conversion**: FileUpload[] → FileList for AI SDK compatibility
 * 2. **Multiple File Types**: Supports images, text, PDFs with validation
 * 3. **Custom Metadata**: Additional data can be sent in the request body
 * 4. **Error Handling**: File size and type validation with user feedback
 * 5. **Image Previews**: Automatic preview generation for image files
 * 6. **AI SDK Integration**: Proper use of sendMessage with files parameter
 */
export default SimpleFileUploadChat;