93 lines
2.0 KiB
Markdown
93 lines
2.0 KiB
Markdown
# AI SDK Integration
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## What It Is
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Seamless integration with Vercel AI SDK via response streaming.
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## Response Streaming
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Return `ReadableStream` or `Response` directly:
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```typescript
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import { streamText } from 'ai'
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import { openai } from '@ai-sdk/openai'
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new Elysia().get('/', () => {
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const stream = streamText({
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model: openai('gpt-5'),
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system: 'You are Yae Miko from Genshin Impact',
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prompt: 'Hi! How are you doing?'
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})
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return stream.textStream // ReadableStream
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// or
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return stream.toUIMessageStream() // UI Message Stream
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})
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```
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Elysia auto-handles stream.
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## Server-Sent Events
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Wrap `ReadableStream` with `sse`:
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```typescript
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import { sse } from 'elysia'
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.get('/', () => {
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const stream = streamText({ /* ... */ })
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return sse(stream.textStream)
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// or
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return sse(stream.toUIMessageStream())
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})
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```
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Each chunk → SSE.
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## As Response
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Return stream directly (no Eden type safety):
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```typescript
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.get('/', () => {
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const stream = streamText({ /* ... */ })
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return stream.toTextStreamResponse()
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// or
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return stream.toUIMessageStreamResponse() // Uses SSE
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})
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```
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## Manual Streaming
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Generator function for control:
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```typescript
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import { sse } from 'elysia'
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.get('/', async function* () {
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const stream = streamText({ /* ... */ })
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for await (const data of stream.textStream)
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yield sse({ data, event: 'message' })
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yield sse({ event: 'done' })
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})
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```
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## Fetch for Unsupported Models
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Direct fetch with streaming proxy:
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```typescript
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.get('/', () => {
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return fetch('https://api.openai.com/v1/chat/completions', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${process.env.OPENAI_API_KEY}`
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},
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body: JSON.stringify({
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model: 'gpt-5',
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stream: true,
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messages: [
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{ role: 'system', content: 'You are Yae Miko' },
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{ role: 'user', content: 'Hi! How are you doing?' }
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]
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})
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})
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})
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```
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Elysia auto-proxies fetch response with streaming.
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