Getting Started with @zooai/react
Zoo React is a comprehensive React package for building AI-powered applications with generative UI, where users interact through natural language. Use Zoo to build AI chats, copilots, or completely custom AI interactions.
Installation
Install the Zoo React package in your project:
npm install @zooai/react
# or
pnpm add @zooai/react
# or
yarn add @zooai/react
Quick Start
1. Wrap Your App with ZooProvider
The ZooProvider component provides the necessary context for all Zoo features:
import { ZooProvider } from "@zooai/react"
export function App() {
return (
<ZooProvider
apiKey={process.env.ZOO_API_KEY}
components={
[
/* your components */
]
}
tools={
[
/* your tools */
]
}
>
<YourAIApp />
</ZooProvider>
)
}
2. Send Messages
Use the useMessage hook to send messages to the AI:
import { useMessage } from "@zooai/react"
function ChatInterface() {
const { sendMessage, isLoading, lastMessage } = useMessage()
const handleSubmit = async (content: string) => {
const response = await sendMessage(content)
console.log("AI Response:", response)
}
return (
<div>
<input
onKeyDown={(e) => {
if (e.key === "Enter") {
handleSubmit(e.currentTarget.value)
}
}}
/>
{isLoading && <p>Thinking...</p>}
{lastMessage && <p>{lastMessage.content}</p>}
</div>
)
}
3. Stream Responses
For real-time streaming of AI responses:
import { useStreaming } from "@zooai/react"
function StreamingChat() {
const { streamMessage, currentMessage, isStreaming } = useStreaming()
const handleStream = async (content: string) => {
await streamMessage(content)
}
return (
<div>
<button onClick={() => handleStream("Tell me a story")}>
Stream Response
</button>
{isStreaming && <p>Streaming...</p>}
<div>{currentMessage}</div>
</div>
)
}
Core Concepts
Generative UI Components
Register components that the AI can dynamically render in responses:
import { ZooProvider } from "@zooai/react"
// Define a custom component
function WeatherCard({ city, temperature, conditions }) {
return (
<div className="weather-card">
<h3>{city}</h3>
<p>{temperature}°F</p>
<p>{conditions}</p>
</div>
)
}
// Register it with Zoo
const components = [
{
name: "weather-card",
component: WeatherCard,
description: "Displays weather information for a city",
parameters: z.object({
city: z.string(),
temperature: z.number(),
conditions: z.string(),
}),
},
]
function App() {
return (
<ZooProvider components={components} apiKey="...">
<YourApp />
</ZooProvider>
)
}
Message Threads
Manage conversation history with threads:
import { useThread } from "@zooai/react"
function ThreadManager() {
const { threads, activeThread, createThread, switchThread, deleteThread } =
useThread()
const handleNewConversation = () => {
const thread = createThread({ name: "New Chat" })
switchThread(thread.id)
}
return (
<div>
<button onClick={handleNewConversation}>New Chat</button>
<ul>
{Array.from(threads.values()).map((thread) => (
<li key={thread.id}>
<button onClick={() => switchThread(thread.id)}>
{thread.metadata?.name || thread.id}
</button>
</li>
))}
</ul>
</div>
)
}
Tool Calling
Add tools that the AI can execute during conversations:
import { z } from 'zod'
const tools = [
{
name: 'calculate',
description: 'Perform mathematical calculations',
parameters: z.object({
expression: z.string()
}),
execute: async ({ expression }) => {
// Safely evaluate the expression
const result = eval(expression) // Use a safe math library in production
return { result }
}
},
{
name: 'fetchData',
description: 'Fetch data from an API',
parameters: z.object({
endpoint: z.string(),
method: z.enum(['GET', 'POST'])
}),
execute: async ({ endpoint, method }) => {
const response = await fetch(endpoint, { method })
return response.json()
}
}
]
<ZooProvider tools={tools} apiKey="...">
<App />
</ZooProvider>
Configuration
ZooProvider Props
| Prop | Type | Description | Default |
|---|---|---|---|
apiKey | string | Your Zoo API key | Required |
apiUrl | string | API endpoint URL | https://api.zoo.ngo/v1 |
model | string | LLM model to use | gpt-4-turbo-preview |
components | ZooComponent[] | Generative UI components | [] |
tools | ZooTool[] | Tools for the AI to use | [] |
initialMessages | Message[] | Initial conversation | [] |
enableStreaming | boolean | Enable response streaming | true |
enableMCP | boolean | Enable Model Context Protocol | false |
onMessage | (message: Message) => void | Message callback | - |
onError | (error: Error) => void | Error callback | - |
Environment Variables
Set up your environment variables:
# .env.local
ZOO_API_KEY=your-api-key
NEXT_PUBLIC_ZOO_API_URL=https://api.zoo.ngo/v1
TypeScript Support
Zoo React is built with TypeScript and provides complete type definitions:
import type { ZooComponent, ZooTool, Message, Thread } from "@zooai/react"
// Fully typed components
const typedComponent: ZooComponent = {
name: "my-component",
component: MyComponent,
description: "A typed component",
parameters: z.object({
title: z.string(),
count: z.number(),
}),
}