Files
temetro/.agents/skills/ai-elements/references/image.md
T
Khalid Abdi 929bec8f31 feat: AI-added records save with placeholders + "Added by AI" provenance
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>
2026-06-14 19:27:17 +03:00

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4.0 KiB
Markdown

# Image
Displays AI-generated images from the AI SDK.
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.
See `scripts/image.tsx` for this example.
## Installation
```bash
npx ai-elements@latest add image
```
## Usage with AI SDK
Build a simple app allowing a user to generate an image given a prompt.
Install the `@ai-sdk/openai` package:
```package-install
npm i @ai-sdk/openai
```
Add the following component to your frontend:
```tsx title="app/page.tsx"
"use client";
import { Image } from "@/components/ai-elements/image";
import {
PromptInput,
type PromptInputMessage,
PromptInputTextarea,
PromptInputSubmit,
} from "@/components/ai-elements/prompt-input";
import { useState } from "react";
import { Spinner } from "@/components/ui/spinner";
const ImageDemo = () => {
const [prompt, setPrompt] = useState("A futuristic cityscape at sunset");
const [imageData, setImageData] = useState<any>(null);
const [isLoading, setIsLoading] = useState(false);
const handleSubmit = async (message: PromptInputMessage) => {
if (!message.text.trim()) return;
setPrompt("");
setIsLoading(true);
try {
const response = await fetch("/api/image", {
method: "POST",
body: JSON.stringify({ prompt: message.text.trim() }),
});
const data = await response.json();
setImageData(data);
} catch (error) {
console.error("Error generating image:", error);
} finally {
setIsLoading(false);
}
};
return (
<div className="max-w-4xl mx-auto p-6 relative size-full rounded-lg border h-[600px]">
<div className="flex flex-col h-full">
<div className="flex-1 overflow-y-auto p-4">
{imageData && (
<div className="flex justify-center">
<Image
{...imageData}
alt="Generated image"
className="h-[300px] aspect-square border rounded-lg"
/>
</div>
)}
{isLoading && <Spinner />}
</div>
<PromptInput
onSubmit={handleSubmit}
className="mt-4 w-full max-w-2xl mx-auto relative"
>
<PromptInputTextarea
value={prompt}
placeholder="Describe the image you want to generate..."
onChange={(e) => setPrompt(e.currentTarget.value)}
className="pr-12"
/>
<PromptInputSubmit
status={isLoading ? "submitted" : "ready"}
disabled={!prompt.trim()}
className="absolute bottom-1 right-1"
/>
</PromptInput>
</div>
</div>
);
};
export default ImageDemo;
```
Add the following route to your backend:
```ts title="app/api/image/route.ts"
import { openai } from "@ai-sdk/openai";
import { experimental_generateImage } from "ai";
export async function POST(req: Request) {
const { prompt }: { prompt: string } = await req.json();
const { image } = await experimental_generateImage({
model: openai.image("dall-e-3"),
prompt: prompt,
size: "1024x1024",
});
return Response.json({
base64: image.base64,
uint8Array: image.uint8Array,
mediaType: image.mediaType,
});
}
```
## Features
- Accepts `Experimental_GeneratedImage` objects directly from the AI SDK
- Automatically creates proper data URLs from base64-encoded image data
- Supports all standard HTML image attributes
- Responsive by default with `max-w-full h-auto` styling
- Customizable with additional CSS classes
- Includes proper TypeScript types for AI SDK compatibility
## Props
### `<Image />`
| Prop | Type | Default | Description |
|------|------|---------|-------------|
| `alt` | `string` | - | Alternative text for the image. |
| `className` | `string` | - | Additional CSS classes to apply to the image. |
| `...props` | `Experimental_GeneratedImage` | - | The image data to display, as returned by the AI SDK. |