📄 ai-sdk/docs/introduction
File: introduction.md | Updated: 11/15/2025
Source: https://ai-sdk.dev/docs/introduction
Menu
v5 (Latest)
AI SDK 5.x
Model Context Protocol (MCP) Tools
AI SDK by Vercel
Copy markdown
======================================================
The AI SDK is the TypeScript toolkit designed to help developers build AI-powered applications and agents with React, Next.js, Vue, Svelte, Node.js, and more.
Integrating large language models (LLMs) into applications is complicated and heavily dependent on the specific model provider you use.
The AI SDK standardizes integrating artificial intelligence (AI) models across supported providers . This enables developers to focus on building great AI applications, not waste time on technical details.
For example, here’s how you can generate text with various models using the AI SDK:
xAI
OpenAI
Anthropic
Custom
import { generateText } from "ai"
import { xai } from "@ai-sdk/xai"
const { text } = await generateText({
model: xai("grok-4"),
prompt: "What is love?"
})
Love is a universal emotion that is characterized by feelings of affection, attachment, and warmth towards someone or something. It is a complex and multifaceted experience that can take many different forms, including romantic love, familial love, platonic love, and self-love.
The AI SDK has two main libraries:
- AI SDK Core : A unified API for generating text, structured objects, tool calls, and building agents with LLMs.
- AI SDK UI : A set of framework-agnostic hooks for quickly building chat and generative user interface.
The AI SDK supports multiple model providers .
xAI Grok
Image InputImage GenerationObject GenerationTool UsageTool Streaming
OpenAI
Image InputImage GenerationObject GenerationTool UsageTool Streaming
Azure
Image InputObject GenerationTool UsageTool Streaming
Anthropic
Image InputObject GenerationTool UsageTool Streaming
Amazon Bedrock
Image InputImage GenerationObject GenerationTool UsageTool Streaming
Groq
Image InputObject GenerationTool UsageTool Streaming
Fal AI
Image Generation
DeepInfra
Image InputObject GenerationTool UsageTool Streaming
Google Generative AI
Image InputObject GenerationTool UsageTool Streaming
Google Vertex AI
Image InputImage GenerationObject GenerationTool UsageTool Streaming
Mistral
Image InputObject GenerationTool UsageTool Streaming
Together.ai
Object GenerationTool UsageTool Streaming
Cohere
Tool UsageTool Streaming
Fireworks
Image GenerationObject GenerationTool UsageTool Streaming
DeepSeek
Object GenerationTool UsageTool Streaming
Cerebras
Object GenerationTool UsageTool Streaming
Perplexity
Luma AI
Image Generation
Baseten
Object GenerationTool Usage
We've built some templates that include AI SDK integrations for different use cases, providers, and frameworks. You can use these templates to get started with your AI-powered application.
Starter Kits
Chatbot Starter Template
Uses the AI SDK and Next.js. Features persistence, multi-modal chat, and more.
Internal Knowledge Base (RAG)
Uses AI SDK Language Model Middleware for RAG and enforcing guardrails.
Multi-Modal Chat
Uses Next.js and AI SDK useChat hook for multi-modal message chat interface.
Semantic Image Search
An AI semantic image search app template built with Next.js, AI SDK, and Postgres.
Natural Language PostgreSQL
Query PostgreSQL using natural language with AI SDK and GPT-4o.
Feature Exploration
Feature Flags Example
AI SDK with Next.js, Feature Flags, and Edge Config for dynamic model switching.
Chatbot with Telemetry
AI SDK chatbot with OpenTelemetry support.
Structured Object Streaming
Uses AI SDK useObject hook to stream structured object generation.
Multi-Step Tools
Uses AI SDK streamText function to handle multiple tool steps automatically.
Frameworks
Next.js OpenAI Starter
Uses OpenAI GPT-4, AI SDK, and Next.js.
Nuxt OpenAI Starter
Uses OpenAI GPT-4, AI SDK, and Nuxt.js.
SvelteKit OpenAI Starter
Uses OpenAI GPT-4, AI SDK, and SvelteKit.
Solid OpenAI Starter
Uses OpenAI GPT-4, AI SDK, and Solid.
Generative UI
Gemini Chatbot
Uses Google Gemini, AI SDK, and Next.js.
Generative UI with RSC (experimental)
Uses Next.js, AI SDK, and streamUI to create generative UIs with React Server Components.
Security
Bot Protection
Uses Kasada, OpenAI GPT-4, AI SDK, and Next.js.
Rate Limiting
Uses Vercel KV, OpenAI GPT-4, AI SDK, and Next.js.
If you have questions about anything related to the AI SDK, you're always welcome to ask our community on the Vercel Community .
llms.txt (for Cursor, Windsurf, Copilot, Claude etc.)
You can access the entire AI SDK documentation in Markdown format at ai-sdk.dev/llms.txt . This can be used to ask any LLM (assuming it has a big enough context window) questions about the AI SDK based on the most up-to-date documentation.
Example Usage
For instance, to prompt an LLM with questions about the AI SDK:
-
Copy the documentation contents from ai-sdk.dev/llms.txt
-
Use the following prompt format:
Documentation:{paste documentation here}---Based on the above documentation, answer the following:{your question}
On this page
llms.txt (for Cursor, Windsurf, Copilot, Claude etc.)
Deploy and Scale AI Apps with Vercel.
Vercel delivers the infrastructure and developer experience you need to ship reliable AI-powered applications at scale.
Trusted by industry leaders:
- OpenAI
- Photoroom
