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929bec8f31
Stop blocking AI imports/proposals on missing non-critical fields. Records the chat agent drafts now save with safe placeholders, auto-generated file numbers, and a source="ai" marker that surfaces an "Added by AI" badge so a clinician can review/edit them later. Backend: - add `source` (manual|ai) column to patients/appointments/prescriptions (migration 0014) + canonical types, services, validation schemas - relax patient/appointment validation: empty file number allowed, demographic + type/provider/initials fall back to placeholders (initials derived from name) - patients.generateFileNumber() auto-assigns an MRN when one is missing - proposeAppointment accepts a name when no file number resolves; AI commits + /api/ai/import stamp source="ai" Frontend: - `source` on Appointment/Patient/Prescription types; AI commits send source="ai" - reusable <AiBadge> shown on the Patients table/detail and prescriptions list Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
147 lines
4.0 KiB
Markdown
147 lines
4.0 KiB
Markdown
# Image
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Displays AI-generated images from the AI SDK.
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The `Image` component displays AI-generated images from the AI SDK. It accepts a [`Experimental_GeneratedImage`](/docs/reference/ai-sdk-core/generate-image) object from the AI SDK's `generateImage` function and automatically renders it as an image.
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See `scripts/image.tsx` for this example.
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## Installation
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```bash
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npx ai-elements@latest add image
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```
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## Usage with AI SDK
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Build a simple app allowing a user to generate an image given a prompt.
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Install the `@ai-sdk/openai` package:
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```package-install
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npm i @ai-sdk/openai
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```
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Add the following component to your frontend:
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```tsx title="app/page.tsx"
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"use client";
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import { Image } from "@/components/ai-elements/image";
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import {
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PromptInput,
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type PromptInputMessage,
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PromptInputTextarea,
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PromptInputSubmit,
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} from "@/components/ai-elements/prompt-input";
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import { useState } from "react";
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import { Spinner } from "@/components/ui/spinner";
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const ImageDemo = () => {
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const [prompt, setPrompt] = useState("A futuristic cityscape at sunset");
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const [imageData, setImageData] = useState<any>(null);
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const [isLoading, setIsLoading] = useState(false);
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const handleSubmit = async (message: PromptInputMessage) => {
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if (!message.text.trim()) return;
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setPrompt("");
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setIsLoading(true);
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try {
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const response = await fetch("/api/image", {
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method: "POST",
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body: JSON.stringify({ prompt: message.text.trim() }),
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});
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const data = await response.json();
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setImageData(data);
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} catch (error) {
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console.error("Error generating image:", error);
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} finally {
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setIsLoading(false);
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}
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};
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return (
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<div className="max-w-4xl mx-auto p-6 relative size-full rounded-lg border h-[600px]">
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<div className="flex flex-col h-full">
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<div className="flex-1 overflow-y-auto p-4">
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{imageData && (
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<div className="flex justify-center">
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<Image
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{...imageData}
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alt="Generated image"
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className="h-[300px] aspect-square border rounded-lg"
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/>
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</div>
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)}
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{isLoading && <Spinner />}
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</div>
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<PromptInput
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onSubmit={handleSubmit}
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className="mt-4 w-full max-w-2xl mx-auto relative"
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>
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<PromptInputTextarea
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value={prompt}
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placeholder="Describe the image you want to generate..."
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onChange={(e) => setPrompt(e.currentTarget.value)}
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className="pr-12"
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/>
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<PromptInputSubmit
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status={isLoading ? "submitted" : "ready"}
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disabled={!prompt.trim()}
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className="absolute bottom-1 right-1"
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/>
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</PromptInput>
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</div>
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</div>
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);
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};
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export default ImageDemo;
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```
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Add the following route to your backend:
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```ts title="app/api/image/route.ts"
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import { openai } from "@ai-sdk/openai";
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import { experimental_generateImage } from "ai";
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export async function POST(req: Request) {
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const { prompt }: { prompt: string } = await req.json();
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const { image } = await experimental_generateImage({
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model: openai.image("dall-e-3"),
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prompt: prompt,
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size: "1024x1024",
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});
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return Response.json({
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base64: image.base64,
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uint8Array: image.uint8Array,
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mediaType: image.mediaType,
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});
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}
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```
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## Features
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- Accepts `Experimental_GeneratedImage` objects directly from the AI SDK
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- Automatically creates proper data URLs from base64-encoded image data
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- Supports all standard HTML image attributes
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- Responsive by default with `max-w-full h-auto` styling
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- Customizable with additional CSS classes
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- Includes proper TypeScript types for AI SDK compatibility
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## Props
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### `<Image />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `alt` | `string` | - | Alternative text for the image. |
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| `className` | `string` | - | Additional CSS classes to apply to the image. |
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| `...props` | `Experimental_GeneratedImage` | - | The image data to display, as returned by the AI SDK. |
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