Files
ra-h-os/app/api/voice/tts/route.ts
T
“BeeRad” 733d1c3407 Initial commit: RA-H Open Source Edition
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
2025-12-15 16:14:28 +11:00

102 lines
3.9 KiB
TypeScript

import { NextRequest, NextResponse } from 'next/server';
import { randomUUID } from 'crypto';
import { recordVoiceUsage } from '@/services/voice/usageLogger';
const OPENAI_TTS_MODEL = process.env.RAH_TTS_MODEL || 'gpt-4o-mini-tts';
const DEFAULT_TTS_VOICE = process.env.RAH_TTS_VOICE || 'ash';
const DEFAULT_TTS_COST_PER_1K_CHAR_USD = 0.015;
const TTS_COST_PER_1K_CHAR_USD = (() => {
const raw = process.env.RAH_TTS_COST_PER_1K_CHAR_USD;
if (!raw) return DEFAULT_TTS_COST_PER_1K_CHAR_USD;
const parsed = Number(raw);
return Number.isFinite(parsed) && parsed > 0 ? parsed : DEFAULT_TTS_COST_PER_1K_CHAR_USD;
})();
function estimateTtsCost(charCount: number) {
const cost = (charCount / 1000) * TTS_COST_PER_1K_CHAR_USD;
return Number.isFinite(cost) ? parseFloat(cost.toFixed(6)) : 0;
}
export const runtime = 'nodejs';
export const dynamic = 'force-dynamic';
export async function POST(request: NextRequest) {
try {
const apiKey = process.env.RAH_VOICE_OPENAI_API_KEY || process.env.RAH_DELEGATE_OPENAI_API_KEY || process.env.OPENAI_API_KEY;
if (!apiKey) {
return NextResponse.json({ error: 'OpenAI API key is not configured' }, { status: 500 });
}
const body = await request.json().catch(() => null);
const text = typeof body?.text === 'string' ? body.text.trim() : '';
const voice = typeof body?.voice === 'string' && body.voice.trim().length > 0 ? body.voice.trim() : DEFAULT_TTS_VOICE;
const helperName = typeof body?.helper === 'string' && body.helper.trim().length > 0 ? body.helper.trim() : null;
const sessionId = typeof body?.sessionId === 'string' && body.sessionId.trim().length > 0 ? body.sessionId.trim() : null;
const messageId = typeof body?.messageId === 'string' && body.messageId.trim().length > 0 ? body.messageId.trim() : null;
const providedRequestId = typeof body?.requestId === 'string' && body.requestId.trim().length > 0 ? body.requestId.trim() : null;
const voiceRequestId = providedRequestId || randomUUID();
if (!text) {
return NextResponse.json({ error: 'Text is required for TTS' }, { status: 400 });
}
const requestStartedAt = Date.now();
const response = await fetch('https://api.openai.com/v1/audio/speech', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify({
model: OPENAI_TTS_MODEL,
voice,
input: text,
format: 'mp3',
}),
});
if (!response.ok || !response.body) {
const errorPayload = await response.json().catch(() => null);
const message = errorPayload?.error?.message || response.statusText || 'Failed to synthesize audio';
return NextResponse.json({ error: message }, { status: response.status || 500 });
}
const durationMs = Date.now() - requestStartedAt;
const charCount = [...text].length;
const estimatedCostUsd = estimateTtsCost(charCount);
const textPreview =
text.length > 240 ? `${text.slice(0, 237)}...` : text;
try {
recordVoiceUsage({
sessionId,
helperName,
requestId: voiceRequestId,
messageId,
voice,
model: OPENAI_TTS_MODEL,
charCount,
costUsd: estimatedCostUsd,
durationMs,
textPreview,
});
} catch (loggingError) {
console.error('[voice/tts] failed to record usage', loggingError);
}
const headers = new Headers();
headers.set('Content-Type', response.headers.get('Content-Type') || 'audio/mpeg');
headers.set('Cache-Control', 'no-cache');
headers.set('X-Voice-Request-Id', voiceRequestId);
return new Response(response.body, {
status: 200,
headers,
});
} catch (error) {
const message = error instanceof Error ? error.message : String(error);
console.error('[voice/tts] failed to synthesize:', message);
return NextResponse.json({ error: message }, { status: 500 });
}
}