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# xsAI
**AI SDK, extra small.**
One shape for every model. Web standards, nothing else.
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[Documentation](https://xsai.js.org) | [Getting started](https://xsai.js.org/getting-started) | [Choose packages](https://xsai.js.org/packages)
</div>
## Quick start
<!-- automd:file src="/docs/snippets/xsai.md" -->
```sh
pnpm add xsai
```
```ts
import { generateText, responses } from 'xsai'
const model = responses({
apiKey: process.env.OPENAI_API_KEY,
baseURL: 'https://api.openai.com/v1/',
model: 'gpt-6-luna',
})
const { text } = await generateText(model, { input: 'Say hello.' })
console.log(text)
```
<!-- /automd -->
Streaming uses the same model. Each event is a typed `TextEvent` in a standard `ReadableStream`:
```ts
import { streamText } from 'xsai'
const stream = streamText(model, { input: 'Describe a quiet forest.' })
for await (const event of stream) {
if (event.type === 'text.delta')
process.stdout.write(event.delta)
if (event.type === 'step.end' && event.status === 'failed')
throw event.error
}
```
## Why xsAI
- **Small parts.** Each package does one job. Every package is an ES module with no side effects, so your bundler removes the code that you do not use.
- **A model belongs to a protocol, not to a provider.** One adapter covers every service that speaks the same protocol. Change the service, keep your code.
- **Web standards.** `fetch`, `ReadableStream`, `AbortSignal`, and `FormData`. The source imports no Node.js module. Replace `fetch` to add a proxy, a test double, or your own retries.
- **Typed from end to end.** Options, results, events, and tool inputs have TypeScript types. Schemas follow [Standard Schema](https://standardschema.dev), so you can keep the validation library that you already use.
## One adapter per protocol
xsAI does not ship a package for each provider. It ships an adapter for each protocol, and many services and gateways speak at least one of them.
| Protocol | Package | Factory |
| --- | --- | --- |
| OpenAI Responses | `@xsai/text-responses` | `responses()` |
| Chat Completions | `@xsai/text-chat` | `chat()` |
| Anthropic Messages | `@xsai/text-messages` | `messages()` |
Every factory returns a `LanguageModel`, so `generateText`, `streamText`, and tool calls work the same with all three. If your service speaks another protocol, you can [write a custom model](https://xsai.js.org/advanced/custom-models).
## Packages
Install `xsai` for everything, or only the packages that you use.
| Package | Provides |
| --- | --- |
| [`@xsai/text`](https://xsai.js.org/text/generating) | `generateText`, `streamText`, `collect`, and `tool` |
| [`@xsai/audio`](https://xsai.js.org/audio) | Speech generation and transcription |
| [`@xsai/decide`](https://xsai.js.org/decide) | Typed answers to yes-or-no, choice, and score questions |
| [`@xsai/embed`](https://xsai.js.org/embed) | Text embeddings |
| [`@xsai/image`](https://xsai.js.org/image) | Image generation |
| [`@xsai/model`](https://xsai.js.org/model) | Model lists from a service |
| [`@xsai/shared`](https://xsai.js.org/shared) | HTTP options, `sendRequest`, and error types |
| [`xsschema`](https://xsai.js.org/xsschema) | Schema conversion and validation, as a separate package |
| `xsai` | One package that re-exports everything above except `xsschema` |
## Runs anywhere
xsAI runs on any runtime with `fetch` and web streams: Node.js, Deno, Bun, Cloudflare Workers, and browsers.
## Community projects
xsAI is used in community and in-house projects, including:
- [moeru-ai/airi](https://github.com/moeru-ai/airi)
- [moeru-ai/arpk](https://github.com/moeru-ai/arpk)
- [lingticio/neuri-js](https://github.com/lingticio/neuri-js)
- [GramSearch/telegram-search](https://github.com/GramSearch/telegram-search)
- [yusixian/moe-copy-ai](https://github.com/yusixian/moe-copy-ai)
- [LemonNekoGH/flow-chat](https://github.com/LemonNekoGH/flow-chat)
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md). To edit or build the docs, see [documentation maintenance](docs/CONTRIBUTING.md).
## License
[MIT](LICENSE.md)
## Sponsors
