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Ship anything with Vercel

Deploy your app on Vercel in three steps: install the CLI, add agent support if you use an AI coding agent, and deploy.
index.ts
import { generateText } from 'ai';
 
const { text } = await generateText({
  model: 'anthropic/claude-opus-4.7',
  prompt: 'What is the capital of France?',
});
index.py
import os
from openai import OpenAI
 
client = OpenAI(
  api_key=os.getenv('AI_GATEWAY_API_KEY'),
  base_url='https://ai-gateway.vercel.sh/v1'
)
 
response = client.chat.completions.create(
  model='openai/gpt-5.5',
  messages=[{'role': 'user', 'content': 'Why is the sky blue?'}]
)
index.sh
curl -X POST "https://ai-gateway.vercel.sh/v1/chat/completions" \
-H "Authorization: Bearer $AI_GATEWAY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "model": "openai/gpt-5.5",
  "messages": [
    { "role": "user", "content": "Why is the sky blue?" }
  ]
}'

Connect your Git repository to deploy on every push, with automatic preview environments for testing changes before production.

Use one or more of the following tools to build your application depending on your needs:

Add intelligence to your applications with Vercel's AI-first infrastructure:

Secure your applications with the following tools:

Collaborate with your team using the following tools:

Vercel handles infrastructure automatically and provides these tools to help you deploy and scale:

Extend your knowledge with in-depth guides, videos, and tutorials on the Vercel Knowledge Base:


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