Vercel

This page adapts the original AI SDK documentation: Vercel.

The Vercel provider gives you access to the v0 API, designed for building modern web applications. The v0 models support text and image inputs and provide fast streaming responses.

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

Note: The v0 API is currently in beta and requires a Premium or Team plan with usage-based billing enabled. For details, visit the v0.dev pricing page. To request a higher limit, contact Vercel at support@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
• Multimodal: Supports both text and image inputs

Setup

The Vercel provider is available in the VercelProvider module. Add it to your Swift package:

// Package.swift (excerpt)
dependencies: [
  .package(url: "https://github.com/teunlao/swift-ai-sdk", from: "0.14.0")
],
targets: [
  .target(
    name: "YourTarget",
    dependencies: [
      .product(name: "SwiftAISDK", package: "swift-ai-sdk"),
      .product(name: "VercelProvider", package: "swift-ai-sdk")
    ]
  )
]

Provider Instance

You can import the default provider instance vercel from VercelProvider:

import SwiftAISDK
import VercelProvider

let model = vercel("v0-1.5-md")

If you need a customized setup, you can use createVercel and create a provider instance with your settings:

import VercelProvider

let vercel = createVercel(settings: VercelProviderSettings(
  apiKey: ProcessInfo.processInfo.environment["VERCEL_API_KEY"],
  baseURL: "https://api.v0.dev/v1",
  headers: ["X-Custom-Header": "value"]
))

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 (middleware) for testing or request interception.

Language Models

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

import SwiftAISDK
import VercelProvider

let result = try await generateText(
  model: vercel("v0-1.5-md"),
  prompt: "Create a Next.js AI chatbot"
)

print(result.text)

Vercel language models can also be used in streamText (see Generating & Streaming Text).

Models

v0-1.5-md

The v0-1.5-md model is for everyday tasks and UI generation.

v0-1.5-lg

The v0-1.5-lg model is for advanced thinking or reasoning.

v0-1.0-md (legacy)

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

All v0 models have the following 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

Model	Image Input	Object Generation	Tool Usage	Tool Streaming
v0-1.5-md	✓	✓	✓	✓
v0-1.5-lg	✓	✓	✓	✓
v0-1.0-md	✓	✓	✓	✓