Vercel Provider

The Vercel provider gives you access to the v0 API, designed for building modern web applications. The v0-1.0-md model supports text and image inputs and provides fast streaming responses.

You can create your Vercel API key at v0.dev.

Features

• Framework aware completions: Evaluated on modern stacks like Next.js and Vercel
• Auto-fix: Identifies and corrects common coding issues during generation
• Quick edit: Streams inline edits as they're available
• OpenAI compatible: Can be used with any tool or SDK that supports OpenAI's API format
• Multimodal: Supports both text and image inputs

Setup

The Vercel provider is available via the @ai-sdk/vercel module. You can install it with:

pnpm add @ai-sdk/vercel

Provider Instance

You can import the default provider instance vercel from @ai-sdk/vercel:

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

If you need a customized setup, you can import createVercel from @ai-sdk/vercel and create a provider instance with your settings:

import { createVercel } from '@ai-sdk/vercel';

const vercel = createVercel({
  apiKey: process.env.VERCEL_API_KEY ?? '',
});

You can use the following optional settings to customize the Vercel provider instance:

• baseURL string

  Use a different URL prefix for API calls. The default prefix is https://api.v0.dev/v1.

• apiKey string

  API key that is being sent using the Authorization header. It defaults to the VERCEL_API_KEY environment variable.

• headers Record<string,string>

  Custom headers to include in the requests.

• fetch (input: RequestInfo, init?: RequestInit) => Promise<Response>

  Custom fetch implementation. Defaults to the global fetch function. You can use it as a middleware to intercept requests, or to provide a custom fetch implementation for e.g. testing.

Language Models

You can create language models using a provider instance. The first argument is the model ID, for example:

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

const { text } = await generateText({
  model: vercel('v0-1.0-md'),
  prompt: 'Create a Next.js AI chatbot',
});

Vercel language models can also be used in the streamText function (see AI SDK Core).

Example with AI SDK

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

const vercel = createVercel({
  baseURL: 'https://api.v0.dev/v1',
  apiKey: process.env.VERCEL_API_KEY,
});

const { text } = await generateText({
  model: vercel('v0-1.0-md'),
  prompt: 'Create a Next.js AI chatbot with authentication',
});

Models

v0-1.0-md

The v0-1.0-md model is the default model served by the v0 API.

Capabilities:

• Supports text and image inputs (multimodal)
• Supports function/tool calls
• Streaming responses with low latency
• Optimized for frontend and full-stack web development

Model Capabilities