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ai-sdk

Explain AI SDK usage for building chatbots, RAG systems, and tool-integrated workflows.

26.1k|4.9k|Updated May 23, 2023
Search Tags:#embeddings#agents#tool-calling#ai-sdk#gateway#generateText#streamText
One-click install
npx skills add https://github.com/vercel/ai --skill ai-sdk-vercel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/vercel/ai/tree/main/skills/use-ai-sdk
Command: npx skills add https://github.com/vercel/ai --skill ai-sdk-vercel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers understand and use the AI SDK to build AI-powered features efficiently, accelerating integration and prototyping across models, agents, and tools.

Core Features & Use Cases

  • Guided SDK usage: Learn how to install, validate, and run AI SDK functions like generateText, streamText, ToolLoopAgent, and embed.
  • Agent & tool integration: Build AI-powered agents, chatbots, and RAG workflows with provider gateways and structured outputs.
  • Reference-driven development: Use local docs and references to verify APIs without relying on outdated memory.

Quick Start

Install the required ai package, then try a simple generateText example against a current model via the AI Gateway.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I build AI agents with tool calling using the AI SDK?▼

Build AI agents with tool calling by installing the ai package and using functions like generateText, streamText, and ToolLoopAgent. The SDK provides structured outputs and provider gateways for executing tool-integrated workflows across models.

What is the best way to stream text responses from LLMs in a chatbot?▼

Stream text responses using the AI SDK's streamText function. It manages real-time generation from your chosen model via the AI Gateway, enabling responsive chatbot interfaces without waiting for full completion.

How do I create a RAG system with embeddings using the AI SDK?▼

Create a RAG system with embeddings by installing the ai package and using the embed function. The SDK supports retrieval-augmented generation workflows by generating embeddings and integrating them with structured outputs.

Does the AI SDK work with multiple model providers?▼

Yes, the AI SDK works with multiple model providers through its AI Gateway. You can access current models from various providers, ensuring up-to-date usage for your AI-powered features and agents.

Why should I verify local docs under node_modules/ai/docs before using the SDK?▼

Verify local docs under node_modules/ai/docs to ensure you reference current APIs rather than relying on outdated memory. This practice guarantees safe, up-to-date usage when building AI-powered features and agents.

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