feat: Implement Telegram Bot and AI Settings

app/api/proxy/models/route.ts

@@ -0,0 +1,48 @@
+import { NextResponse } from 'next/server'
+
+export async function POST(request: Request) {
+    try {
+        const { endpoint, token } = await request.json()
+
+        if (!endpoint || !token) {
+            return NextResponse.json({ success: false, error: 'Faltan datos' }, { status: 400 })
+        }
+
+        // Try standard /v1/models endpoint
+        // If user provided "https://api.example.com/v1", we append "/models"
+        let targetUrl = endpoint
+        if (targetUrl.endsWith('/')) {
+            targetUrl = `${targetUrl}v1/models`
+        } else if (!targetUrl.endsWith('/models')) {
+            targetUrl = `${targetUrl}/v1/models`
+        }
+
+        const response = await fetch(targetUrl, {
+            method: 'GET',
+            headers: {
+                'Authorization': `Bearer ${token}`,
+                'x-api-key': token
+            }
+        })
+
+        if (!response.ok) {
+            const text = await response.text()
+            return NextResponse.json({ success: false, error: text }, { status: response.status })
+        }
+
+        const data = await response.json()
+        // Normalizing response: OpenAI/Anthropic usually return { data: [{ id: 'model-name' }, ...] }
+
+        let models: string[] = []
+        if (Array.isArray(data.data)) {
+            models = data.data.map((m: any) => m.id)
+        } else if (Array.isArray(data)) {
+            models = data.map((m: any) => m.id || m.model || m)
+        }
+
+        return NextResponse.json({ success: true, models })
+
+    } catch (error: any) {
+        return NextResponse.json({ success: false, error: error.message }, { status: 500 })
+    }
+}