Local-first knowledge management system with BYO API keys. Features: - 3-panel UI (Nodes | Focus | Helpers) - SQLite + sqlite-vec for vector search - Agent system (Easy/Hard mode orchestrators) - Content extraction (YouTube, PDF, web) - Integrate workflow for connection discovery - Dimension system with auto-assignment Tech stack: - Next.js 15 + TypeScript + Tailwind CSS - Anthropic (Claude) + OpenAI (GPT) via Vercel AI SDK Setup: npm install && npm rebuild better-sqlite3 scripts/dev/bootstrap-local.sh npm run dev MIT License
57 lines
1.9 KiB
TypeScript
57 lines
1.9 KiB
TypeScript
import { NextRequest, NextResponse } from 'next/server';
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const REALTIME_MODEL = process.env.OPENAI_REALTIME_MODEL || 'gpt-4o-realtime-preview-2024-12-17';
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export const runtime = 'nodejs';
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export const dynamic = 'force-dynamic';
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export async function POST(request: NextRequest) {
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try {
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const authHeader = request.headers.get('authorization');
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if (!authHeader) {
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return NextResponse.json({ error: 'Missing authorization header' }, { status: 401 });
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}
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const apiKey =
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process.env.RAH_REALTIME_OPENAI_API_KEY ||
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process.env.RAH_DELEGATE_OPENAI_API_KEY ||
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process.env.OPENAI_API_KEY;
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if (!apiKey) {
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return NextResponse.json({ error: 'Realtime OpenAI API key is not configured' }, { status: 500 });
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}
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const response = await fetch('https://api.openai.com/v1/realtime/sessions', {
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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 ${apiKey}`,
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},
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body: JSON.stringify({
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model: REALTIME_MODEL,
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modalities: ['text'],
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instructions: 'Provide high-accuracy streaming transcription only. Never speak responses.',
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}),
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});
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if (!response.ok) {
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const errorPayload = await response.json().catch(() => null);
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const message = errorPayload?.error?.message || response.statusText || 'Failed to create realtime session';
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return NextResponse.json({ error: message }, { status: response.status });
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}
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const data = await response.json();
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return NextResponse.json({
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client_secret: data.client_secret,
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expires_at: data.expires_at,
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model: data.model ?? REALTIME_MODEL,
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voice: data.voice,
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id: data.id,
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});
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} catch (error) {
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const message = error instanceof Error ? error.message : String(error);
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console.error('[realtime] Failed to mint ephemeral token:', message);
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return NextResponse.json({ error: message }, { status: 500 });
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}
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}
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