49 lines
1.6 KiB
TypeScript
49 lines
1.6 KiB
TypeScript
import { NextResponse } from 'next/server'
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export async function POST(request: Request) {
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try {
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const { endpoint, token } = await request.json()
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if (!endpoint || !token) {
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return NextResponse.json({ success: false, error: 'Faltan datos' }, { status: 400 })
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}
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// Try standard /v1/models endpoint
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// If user provided "https://api.example.com/v1", we append "/models"
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let targetUrl = endpoint
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if (targetUrl.endsWith('/')) {
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targetUrl = `${targetUrl}v1/models`
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} else if (!targetUrl.endsWith('/models')) {
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targetUrl = `${targetUrl}/v1/models`
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}
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const response = await fetch(targetUrl, {
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method: 'GET',
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headers: {
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'Authorization': `Bearer ${token}`,
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'x-api-key': token
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}
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})
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if (!response.ok) {
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const text = await response.text()
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return NextResponse.json({ success: false, error: text }, { status: response.status })
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}
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const data = await response.json()
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// Normalizing response: OpenAI/Anthropic usually return { data: [{ id: 'model-name' }, ...] }
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let models: string[] = []
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if (Array.isArray(data.data)) {
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models = data.data.map((m: any) => m.id)
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} else if (Array.isArray(data)) {
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models = data.map((m: any) => m.id || m.model || m)
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}
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return NextResponse.json({ success: true, models })
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} catch (error: any) {
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return NextResponse.json({ success: false, error: error.message }, { status: 500 })
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}
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}
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