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