feat: website analysis pipeline, voice agent, configurator improvements
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- Site analysis: cheerio HTML parsing, inline tech stack detection (~20 CMS/framework/analytics signatures), Google PageSpeed API integration
- Gemini Live voice agent: WebSocket-based real-time voice mode with live transcript, selection chips, and mid-conversation website analysis
- Type/Talk mode toggle with silent capability detection
- Stepped progress animation during brief generation (4 animated steps)
- URL + thoughts fields in Step 2, phone + contact preference in Step 3
- AI prompt improvements: dedicated website analysis section, 30-min call, concrete benefits, industry depth
- Email redesign: branded templates with logo, proper markdown rendering for both client and admin
- French locale support for AI-generated briefs
- Smaller checkmark, compact booking CTA, expanded brief area

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-03-28 13:41:35 +01:00
parent 16cd2a74ee
commit bab45b981e
19 changed files with 2923 additions and 119 deletions

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import { NextRequest, NextResponse } from 'next/server';
import { generateEphemeralToken } from '@/lib/gemini-live';
// ─── Rate Limiting ────────────────────────────────────────────────────────────
const rateLimitMap = new Map<string, number>();
const RATE_LIMIT_MS = 60_000; // 1 token per minute per IP
// ─── Route Handler ────────────────────────────────────────────────────────────
export async function POST(request: NextRequest) {
try {
if (!process.env.GEMINI_API_KEY) {
return NextResponse.json({ success: false }, { status: 503 });
}
const ip =
request.headers.get('x-forwarded-for')?.split(',')[0]?.trim() ??
request.headers.get('x-real-ip') ??
'unknown';
const lastRequest = rateLimitMap.get(ip) ?? 0;
if (Date.now() - lastRequest < RATE_LIMIT_MS) {
return NextResponse.json({ success: false, error: 'Rate limited' }, { status: 429 });
}
rateLimitMap.set(ip, Date.now());
const { locale } = (await request.json()) as { locale?: string };
const result = await generateEphemeralToken(locale === 'fr' ? 'fr' : 'en');
return NextResponse.json({
success: true,
// In production, replace apiKey with an ephemeral token from ai.auth.tokens.create()
// to avoid exposing the long-lived API key to the client.
apiKey: process.env.GEMINI_API_KEY,
model: result.model,
config: result.config,
});
} catch (error) {
console.error('[gemini-token] Failed:', error);
return NextResponse.json({ success: false }, { status: 500 });
}
}