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- export const metadata = { title: "Quick Start" }
- # Quick Start
- Get up and running with json-render in 5 minutes.
- ## 1. Define your catalog
- Create a catalog that defines what components AI can use:
- ```typescript
- // lib/catalog.ts
- import { defineCatalog } from '@json-render/core';
- import { schema } from '@json-render/react';
- import { z } from 'zod';
- export const catalog = defineCatalog(schema, {
- components: {
- Card: {
- props: z.object({
- title: z.string(),
- description: z.string().nullable(),
- }),
- slots: ["default"],
- description: "Container card with optional title",
- },
- Button: {
- props: z.object({
- label: z.string(),
- action: z.string().nullable(),
- }),
- description: "Clickable button that triggers an action",
- },
- Text: {
- props: z.object({
- content: z.string(),
- }),
- description: "Text paragraph",
- },
- },
- actions: {
- submit: {
- params: z.object({ formId: z.string() }),
- description: "Submit a form",
- },
- navigate: {
- params: z.object({ url: z.string() }),
- description: "Navigate to a URL",
- },
- },
- });
- ```
- ## 2. Define your components
- Use `defineRegistry` to map catalog types to React components. Each component receives type-safe `props`, `children`, and `emit`:
- ```tsx
- // lib/registry.tsx
- import { defineRegistry } from '@json-render/react';
- import { catalog } from './catalog';
- export const { registry } = defineRegistry(catalog, {
- components: {
- Card: ({ props, children }) => (
- <div className="p-4 border rounded-lg">
- <h2 className="font-bold">{props.title}</h2>
- {props.description && (
- <p className="text-gray-600">{props.description}</p>
- )}
- {children}
- </div>
- ),
- Button: ({ props, emit }) => (
- <button
- className="px-4 py-2 bg-blue-500 text-white rounded"
- onClick={() => emit?.("press")}
- >
- {props.label}
- </button>
- ),
- Text: ({ props }) => (
- <p>{props.content}</p>
- ),
- },
- });
- ```
- ## 3. Create an API route
- Set up a streaming API route for AI generation:
- ```typescript
- // app/api/generate/route.ts
- import { streamText } from 'ai';
- import { catalog } from '@/lib/catalog';
- export async function POST(req: Request) {
- const { prompt } = await req.json();
- // Generate system prompt from catalog
- const systemPrompt = catalog.prompt();
- const result = streamText({
- model: 'anthropic/claude-haiku-4.5',
- system: systemPrompt,
- prompt,
- });
- return result.toTextStreamResponse();
- }
- ```
- ## 4. Render the UI
- Use providers and the `Renderer` with your registry to display AI-generated UI:
- ```tsx
- // app/page.tsx
- 'use client';
- import { Renderer, StateProvider, ActionProvider, VisibilityProvider, useUIStream } from '@json-render/react';
- import { registry } from '@/lib/registry';
- export default function Page() {
- const { spec, isStreaming, send } = useUIStream({
- api: '/api/generate',
- });
- const handleSubmit = (e: React.FormEvent<HTMLFormElement>) => {
- e.preventDefault();
- const formData = new FormData(e.currentTarget);
- send(formData.get('prompt') as string);
- };
- return (
- <StateProvider initialState={{}}>
- <VisibilityProvider>
- <ActionProvider handlers={{
- submit: (params) => console.log('Submit:', params),
- navigate: (params) => console.log('Navigate:', params),
- }}>
- <form onSubmit={handleSubmit}>
- <input
- name="prompt"
- placeholder="Describe what you want..."
- className="border p-2 rounded"
- />
- <button type="submit" disabled={isStreaming}>
- Generate
- </button>
- </form>
- <div className="mt-8">
- <Renderer spec={spec} registry={registry} loading={isStreaming} />
- </div>
- </ActionProvider>
- </VisibilityProvider>
- </StateProvider>
- );
- }
- ```
- ## Next steps
- - Learn about [catalogs](/docs/catalog) in depth
- - Explore [data binding](/docs/data-binding) for dynamic values
- - Add [actions](/docs/actions) for interactivity
- - Implement [conditional visibility](/docs/visibility)
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