ai-sdk

Build chat interfaces and generate text with the Vercel AI SDK.

Updated May 31, 2026
One-click install
npx skills add https://github.com/vinhnguyenn020325-cmd/dinzkorea --skill ai-sdk-vinhnguyenn020325-cmd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/vinhnguyenn020325-cmd/dinzkorea/tree/main/.test-vercel-plugin/skills/ai-sdk
Command: npx skills add https://github.com/vinhnguyenn020325-cmd/dinzkorea --skill ai-sdk-vinhnguyenn020325-cmd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @ai-sdk/openai, @ai-sdk/anthropic, @ai-sdk/gateway, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides expert guidance for building AI-powered features, such as chat interfaces, text generation, and structured output, using the Vercel AI SDK.

Core Features & Use Cases

  • Chat Interfaces: Build AI-powered chat interfaces using the useChat and useCompletion hooks.
  • Text Generation: Generate text and structured output from prompts.
  • Structured Output: Create structured JSON output from prompts.
  • Use Case: If you want to add an AI-powered chatbot to your application that can generate text and handle structured output, this Skill will help you get started.

Quick Start

Use the ai-sdk skill to add AI-powered text generation to your app by running the command: useChat({ transport: new DefaultChatTransport({ api: '/api/chat' }) }).

Frequently Asked Questions about ai-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an AI chat interface using the Vercel AI SDK?

Build AI chat interfaces using the Vercel AI SDK by implementing the useChat hook with a DefaultChatTransport configured to your API endpoint. This enables streaming AI-powered conversational features directly in your application.

What is the best way to generate structured JSON output from prompts with the Vercel AI SDK?

Generate structured output from prompts using the Vercel AI SDK by configuring text generation requests to return structured JSON. This ensures AI responses conform to specific data schemas required by your application.

Does the Vercel AI SDK support integration with different LLM providers like OpenAI and Anthropic?

Yes, the Vercel AI SDK supports integration with various LLM providers including OpenAI and Anthropic. You need to install the appropriate provider packages, such as @ai-sdk/openai or @ai-sdk/anthropic, to connect to those models.

How do I set up tool calling and text generation in my web app?

Set up text generation and tool calling by using the Vercel AI SDK to send prompts to connected LLM providers. The SDK handles the request logic, allowing your application to execute functions and generate responses seamlessly.

Do I need specific provider packages to use the Vercel AI SDK for chat interfaces?

Yes, you need the Vercel AI SDK core package and specific provider packages like @ai-sdk/openai or @ai-sdk/gateway. These dependencies are required to authenticate and route requests to your chosen language models.

Why use the Vercel AI SDK for adding an AI-powered chatbot to an application?

Use the Vercel AI SDK to add an AI-powered chatbot because it provides specialized hooks like useChat for chat interfaces and handles structured output. It abstracts provider integration complexity, streamlining feature development.