Generative UI: render tool results as React components
Generative UI means the model does not just write text; it picks components. The mechanism is tools plus tool-part rendering.
Server: define a tool per UI element.
import { tool } from 'ai';
import { z } from 'zod';
const tools = {
getWeather: tool({
description: 'Get the weather for a city',
inputSchema: z.object({ city: z.string() }),
execute: async ({ city }) => ({ city, temp: 62, condition: 'sunny' }),
}),
};
const result = streamText({ model: 'your-model-id', tools, messages: await convertToModelMessages(messages) });
Client: render tool parts as components.
{messages.map(m => (
[div key [your value]]
{m.parts.map((part, i) => {
if (part.type === 'text') return [span key [your value]]
if (part.type === 'tool-getWeather' && part.state === 'output-available') {
return [WeatherCard key [your value] data={part.output} /];
}
if (part.type === 'tool-getWeather') return [WeatherSkeleton key [your value] /];
return null;
})}
[/div]
))}
Rules:
1. Tool parts start as calls and become results. Render a loading state for the call phase and the real component when output is available. Check the part state field; do not assume output exists.
2. Keep execute fast or stream-friendly. A 10-second tool blocks its UI region; consider client-side tools with onToolCall for interactive ones.
3. Dynamic tool parts (dynamic tools) let the model call tools not in your static map. Render a generic fallback for unknown tool parts instead of crashing.
4. The tool description drives when the model picks the component. Write descriptions as UI triggers: "Use this when the user asks about weather; renders a weather card."
5. Validate tool output before rendering. A component that crashes on unexpected output takes down the whole message list. Error boundaries per card are cheap insurance.
6. For confirmation-style interactions (book this flight?), use a client tool with addToolOutput instead of auto-executing server-side.Find related guidance
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