| import { NextResponse } from 'next/server'; |
| import { embed, embedMany, createGateway } from 'ai'; |
| import { validateUserAndToken } from '@/utils/access'; |
|
|
| export async function POST(req: Request): Promise<Response> { |
| try { |
| const { user, token } = await validateUserAndToken(req.headers.get('authorization')); |
| if (!user || !token) { |
| return NextResponse.json({ error: 'Not authenticated' }, { status: 403 }); |
| } |
|
|
| const { texts, single, apiKey } = await req.json(); |
|
|
| if (!texts || !Array.isArray(texts) || texts.length === 0) { |
| return NextResponse.json({ error: 'Texts array required' }, { status: 400 }); |
| } |
|
|
| const gatewayApiKey = apiKey || process.env['AI_GATEWAY_API_KEY']; |
| if (!gatewayApiKey) { |
| return NextResponse.json({ error: 'API key required' }, { status: 401 }); |
| } |
|
|
| const gateway = createGateway({ apiKey: gatewayApiKey }); |
| const model = gateway.embeddingModel( |
| process.env['AI_GATEWAY_EMBEDDING_MODEL'] || 'openai/text-embedding-3-small', |
| ); |
|
|
| if (single) { |
| const { embedding } = await embed({ model, value: texts[0] }); |
| return NextResponse.json({ embedding }); |
| } else { |
| const { embeddings } = await embedMany({ model, values: texts }); |
| return NextResponse.json({ embeddings }); |
| } |
| } catch (error) { |
| const errorMessage = error instanceof Error ? error.message : 'Unknown error'; |
| return NextResponse.json({ error: `Embedding failed: ${errorMessage}` }, { status: 500 }); |
| } |
| } |
|
|