Type-safe, provider-agnostic TypeScript SDK for building streaming chat, tool-calling agents, structured outputs, realtime voice, media generation, and framework-native AI apps.

TanStack AI is built from composable activities and provider adapters. Use one provider or switch between many. Import only chat, or add image, audio, video, speech, transcription, summarization, realtime, Code Mode, devtools, and framework bindings as your app needs them.

• Overview - what TanStack AI is and how the packages fit together.
• Quick Start: React - add streaming chat to a React app.
• Quick Start: Vue - build with Vue composables.
• Quick Start: Svelte - build with Svelte 5 runes.
• Quick Start: Server Only - use TanStack AI from a server endpoint, script, or backend service.
• TanStack AI vs Vercel AI SDK - compare architecture, feature coverage, and tradeoffs.

• Streaming chat experiences with typed messages, tool calls, reasoning parts, and configurable connection adapters.
• Type-safe tools that can run on the server or client from one shared toolDefinition() contract.
• Structured output flows backed by JSON Schema, Zod, ArkType, Valibot, or plain JSON Schema.
• Multimodal prompts and responses that include text, images, audio, video, and documents.
• Image, audio, video, speech, transcription, and summarization workflows using a shared generation client pattern.
• Realtime voice chat with provider adapters for realtime sessions and token minting.
• Code Mode agents that let an LLM write and execute TypeScript in an isolated sandbox to orchestrate tools with loops, branches, and parallel calls.
• Devtools and observability pipelines for inspecting messages, tool calls, stream chunks, errors, usage, and OpenTelemetry traces.
• Framework-native clients for React, Solid, Vue, Svelte, and Preact, plus a headless client for custom runtimes.

Install the core package and the provider/framework packages your app uses:

pnpm add @tanstack/ai @tanstack/ai-openai

For a React chat UI:

pnpm add @tanstack/ai @tanstack/ai-client @tanstack/ai-react @tanstack/ai-openai

OpenRouter is also a good starting point if you want access to many providers through one API key:

pnpm add @tanstack/ai @tanstack/ai-openrouter

import { chat, toServerSentEventsResponse } from '@tanstack/ai'
import { openaiText } from '@tanstack/ai-openai'

export async function POST(request: Request) {
  const body = await request.json()

  const stream = chat({
    adapter: openaiText('gpt-5.2'),
    messages: body.messages,
  })

  return toServerSentEventsResponse(stream)
}

Learn more in the Chat & Streaming docs and Connection Adapters docs.

Define a tool once, then attach a server or client implementation with the same input and output types:

import { toolDefinition } from '@tanstack/ai'
import { z } from 'zod'

const getProducts = toolDefinition({
  name: 'getProducts',
  description: 'Search the product catalog',
  inputSchema: z.object({ query: z.string() }),
  outputSchema: z.array(
    z.object({
      id: z.string(),
      name: z.string(),
    }),
  ),
}).server(async ({ query }) => {
  return db.products.search(query)
})

Learn more in the Tools docs, Tool Approval Flow docs, and Lazy Tool Discovery docs.

Use outputSchema when you need typed objects instead of freeform text:

import { chat } from '@tanstack/ai'
import { openaiText } from '@tanstack/ai-openai'
import { z } from 'zod'

const Person = z.object({
  name: z.string(),
  age: z.number(),
})

const person = await chat({
  adapter: openaiText('gpt-5.2'),
  messages: [{ role: 'user', content: 'Ada Lovelace, 36' }],
  outputSchema: Person,
})

Learn more in the Structured Outputs docs.

• Generations - one pattern for image generation, text-to-speech, transcription, summarization, audio generation, and video generation.
• Realtime Voice Chat - build low-latency realtime voice experiences.
• Code Mode - let models write and execute TypeScript inside a secure isolate.
• Code Mode with Snippets - give Code Mode reusable runtime capabilities.

Official adapters include:

The adapter system is tree-shakeable by activity. Import openaiText for chat, openaiImage for images, falVideo for video, geminiSpeech for TTS, and so on.

• Middleware - hook into chat configuration, chunks, tool calls, usage, errors, and structured outputs.
• OpenTelemetry - emit vendor-neutral GenAI traces and metrics.
• Observability - subscribe to typed TanStack AI events.
• Per-Model Type Safety - narrow model options and content modalities to the selected model.
• Runtime Adapter Switching - switch providers at runtime.
• Tree-Shaking - ship only the activities and adapters you use.
• Agent Skills - install TanStack AI skills into Claude Code, Cursor, GitHub Copilot, Codex, and other coding agents with TanStack Intent.

• Read the docs.
• Participate in GitHub discussions.
• Chat with the community on Discord.
• See CONTRIBUTING.md for setup instructions.
• Become a sponsor.

We're looking for TanStack AI partners to join our mission. Partner with us to push the boundaries of TanStack AI and build amazing things together.

LET'S CHAT

• TanStack Config - tooling for JS/TS packages
• TanStack DB - reactive sync client store
• TanStack Devtools - unified devtools panel
• TanStack Form - type-safe form state
• TanStack Pacer - debouncing, throttling, batching
• TanStack Query - async state and caching
• TanStack Ranger - range and slider primitives
• TanStack Router - type-safe routing, caching, and URL state
• TanStack Start - full-stack SSR and streaming
• TanStack Store - reactive data store
• TanStack Table - headless datagrids
• TanStack Virtual - virtualized rendering

...and more at TanStack.com.