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`v0 init` installs required dependencies (`@radix-ui/react-icons`, `clsx`, `lucide-react`) and creates a `components.json` config file.

npx shadcn@latest add "https://v0.dev/chat/b/<project_id>?token=<token>"

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npm install v0-sdk

import { v0 } from 'v0-sdk'
// Automatically reads from process.env.V0_API_KEY

// Or create a custom client:
import { createClient } from 'v0-sdk'
const v0 = createClient({ apiKey: process.env.CUSTOM_V0_KEY })

import { v0 } from 'v0-sdk'

const chat = await v0.chats.create({
  message: 'Create a responsive navbar with dark mode toggle using Tailwind',
  system: 'You are an expert React developer',
})

console.log(`Open in browser: ${chat.webUrl}`)

import { v0 } from 'v0-sdk'

// Create a project
const project = await v0.projects.create({ name: 'My App' })

// Initialize a chat with existing code
const chat = await v0.chats.init({
  type: 'files',
  files: [{ name: 'App.tsx', content: existingCode }],
  projectId: project.id,
})

// Send follow-up instructions
await v0.chats.sendMessage({
  chatId: chat.id,
  message: 'Add a sidebar with navigation links and a user avatar',
})

// Deploy when ready
const deployment = await v0.deployments.create({
  projectId: project.id,
  chatId: chat.id,
  versionId: chat.latestVersion.id,
})

console.log(`Live at: ${deployment.url}`)

// Download files from a specific chat version
const files = await v0.chats.downloadVersion({
  chatId: chat.id,
  versionId: chat.latestVersion.id,
})

npm i @ai-sdk/vercel

import { vercel } from '@ai-sdk/vercel'
import { generateText } from 'ai'

const { text } = await generateText({
  model: vercel('v0-1.5-md'),
  prompt: 'Create a login form with email and password fields',
})

npm install @v0-sdk/ai-tools ai

import { generateText } from 'ai'
import { openai } from '@ai-sdk/openai'
import { v0Tools } from '@v0-sdk/ai-tools'

const result = await generateText({
  model: openai('gpt-5.2'),
  prompt: 'Create a new React dashboard project with charts and a data table',
  tools: v0Tools({ apiKey: process.env.V0_API_KEY }),
})

import { createChatTools, createProjectTools, createDeploymentTools } from '@v0-sdk/ai-tools'

{
  "mcpServers": {
    "v0": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.v0.dev",
        "--header",
        "Authorization: Bearer ${V0_API_KEY}"
      ]
    }
  }
}

Weak:  "Build a dashboard"
Strong: "Build a support ticket dashboard. Mobile-first, light theme, high
        contrast. Color code: red for urgent, yellow for medium, green for low.
        Show agent status badges. Maximum 2 columns on mobile."

"Build a real-time chat app using: Next.js 16 with App Router,
Socket.io for messaging, Vercel Postgres for storage,
NextAuth.js for authentication."

"Create a team collaboration tool with admin, manager, and member
roles, task assignment, progress tracking, and file sharing."

"Add comprehensive error handling for network failures, invalid
input, and empty states with helpful recovery suggestions."

npx v0@latest init
npx v0@latest add <component-id>

import { DataTable } from '@/components/data-table'

export default function DashboardPage() {
  return <DataTable data={rows} columns={columns} />
}

import { v0 } from 'v0-sdk'

// Generate a component from a design spec
const chat = await v0.chats.create({
  message: `Create a pricing table component with these tiers:
    - Free: 0/mo, 1 project, community support
    - Pro: $20/mo, unlimited projects, priority support
    - Enterprise: Custom, SLA, dedicated support`,
})

// Wait for generation, then download
const files = await v0.chats.downloadVersion({
  chatId: chat.id,
  versionId: chat.latestVersion.id,
})

import { Agent } from 'ai'
import { v0Tools } from '@v0-sdk/ai-tools'

const agent = new Agent({
  model: openai('gpt-5.2'),
  tools: {
    ...v0Tools({ apiKey: process.env.V0_API_KEY }),
    // ... other tools
  },
  system: 'You are a full-stack developer. Use v0 to generate UI components.',
})

const { text } = await agent.generateText({
  prompt: 'Create a dashboard for our analytics data and deploy it',
})