ai-sdk

Guide Vercel AI SDK usage for text generation, streaming, and agents.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/m-nobinur/recommendme-app --skill ai-sdk-m-nobinur
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/m-nobinur/recommendme-app/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/m-nobinur/recommendme-app --skill ai-sdk-m-nobinur

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers build AI-powered features by providing guidance on using the Vercel AI SDK, including its functions, providers, and best practices.

Core Features & Use Cases

  • AI SDK Functions: Understand and implement functions like generateText, streamText, ToolLoopAgent, embed, and tools.
  • AI Agent Development: Build chatbots, RAG systems, and text generation features.
  • Provider Integration: Get help with AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, and embeddings.
  • React Hooks: Utilize hooks like useChat and useCompletion.

Quick Start

Use the ai-sdk skill to find documentation for the useChat hook.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I implement streaming text generation in a Next.js application?

Build AI chatbots in React using the Vercel AI SDK's `useChat` hook to manage chat state and `streamText` to stream conversational responses. The SDK handles message history and real-time UI updates for chatbot development.

Can I integrate multiple AI providers like OpenAI and Anthropic in one project?

Yes, you can integrate multiple AI providers like OpenAI, Anthropic, and Google simultaneously using the Vercel AI SDK's provider management features. The SDK standardizes API usage across different models for unified text generation and embeddings.

How do I add tool calling capabilities to an AI agent?

Yes, add tool calling capabilities to an AI agent by defining functions with the Vercel AI SDK's `tools` parameter and utilizing `ToolLoopAgent`. This allows your application to execute external logic and integrate tools during text generation.

Does the Vercel AI SDK support generating structured output and embeddings?

Yes, the Vercel AI SDK supports generating structured output and embeddings through its dedicated `embed` function and structured data generation capabilities. This enables developers to build RAG systems and format model responses predictably.

What is the best way to build a RAG system with Vercel AI?

Build a RAG system with Vercel AI by utilizing the SDK's `embed` function for vector generation and `generateText` for synthesis. This combination provides comprehensive guidance for retrieving and generating context-aware responses.