feat(stt): add server-side STT provider via OpenAI-compatible Whisper endpoint (#860)

Co-authored-by: Alexander Busse <alex@ableph.net>
This commit is contained in:
Alexander Busse
2026-04-11 22:47:33 +03:00
committed by GitHub
co-authored by Alexander Busse
parent 75a10ea66c
commit 3746d99a85
6 changed files with 836 additions and 18 deletions
+52
View File
@@ -1,3 +1,5 @@
import express from 'express';
export function registerTtsRoutes(app, { resolveZenModel, sayTTSCapability }) {
let ttsModulePromise = null;
const getTtsModule = async () => {
@@ -222,4 +224,54 @@ export function registerTtsRoutes(app, { resolveZenModel, sayTTSCapability }) {
});
}
});
// Server-side STT: receive raw audio, proxy to OpenAI-compatible transcription endpoint
app.post(
'/api/stt/transcribe',
express.raw({ type: (req) => (req.headers['content-type'] || '').startsWith('audio/'), limit: '20mb' }),
async (req, res) => {
try {
const { transcribeAudio } = await import('./stt.js');
const mimeType = (req.headers['content-type'] || 'audio/webm').split(',')[0].trim();
const baseURL = req.headers['x-base-url'];
const model = req.headers['x-model'] || 'deepdml/faster-whisper-large-v3-turbo-ct2';
const language = req.headers['x-language'] || undefined;
if (!req.body || !Buffer.isBuffer(req.body) || req.body.length === 0) {
return res.status(400).json({ error: 'Audio data is required' });
}
if (!baseURL) {
return res.status(400).json({ error: 'X-Base-URL header is required' });
}
console.log('[STT] Transcribing audio:', {
bytes: req.body.length,
mimeType,
model,
baseURL,
language,
});
const transcript = await transcribeAudio({
audioBuffer: req.body,
mimeType,
model,
baseURL,
language,
});
console.log('[STT] Transcript:', transcript?.slice(0, 120));
res.json({ transcript: transcript ?? '' });
} catch (error) {
console.error('[STT] Error:', error);
if (!res.headersSent) {
res.status(500).json({
error: error instanceof Error ? error.message : 'Transcription failed',
});
}
}
}
);
}
+66
View File
@@ -0,0 +1,66 @@
/**
* Server-side Speech-to-Text Service
*
* Proxies audio to any OpenAI-compatible transcription endpoint
* (e.g. faster-whisper, whisper.cpp) using the OpenAI Node SDK.
*/
import OpenAI, { toFile } from 'openai';
/**
* Transcribe an audio buffer via an OpenAI-compatible /v1/audio/transcriptions endpoint.
*
* @param {object} opts
* @param {Buffer} opts.audioBuffer - Raw audio bytes
* @param {string} opts.mimeType - MIME type of the audio (e.g. 'audio/webm')
* @param {string} opts.model - Model name accepted by the remote server
* @param {string} [opts.baseURL] - Base URL of the compatible server (including /v1)
* @param {string} [opts.language] - Optional BCP-47 language hint (e.g. 'en')
* @returns {Promise<string>} Transcribed text
*/
export async function transcribeAudio({ audioBuffer, mimeType, model, baseURL, language }) {
const clientOpts = {
apiKey: process.env.OPENAI_API_KEY || 'not-required',
};
if (baseURL) {
clientOpts.baseURL = baseURL;
}
const client = new OpenAI(clientOpts);
// Derive a sensible filename extension from the MIME type so the server
// can infer the codec when it isn't explicit in the stream header.
const ext = mimeTypeToExt(mimeType);
const filename = `audio.${ext}`;
const file = await toFile(audioBuffer, filename, { type: mimeType });
const result = await client.audio.transcriptions.create({
file,
model,
response_format: 'json',
...(language ? { language } : {}),
});
return result.text ?? '';
}
/**
* Map a MIME type to a file extension understood by Whisper servers.
* @param {string} mimeType
* @returns {string}
*/
function mimeTypeToExt(mimeType) {
const type = (mimeType || '').split(';')[0].trim().toLowerCase();
const map = {
'audio/webm': 'webm',
'audio/ogg': 'ogg',
'audio/wav': 'wav',
'audio/wave': 'wav',
'audio/mpeg': 'mp3',
'audio/mp4': 'mp4',
'audio/mp3': 'mp3',
'audio/flac': 'flac',
};
return map[type] ?? 'webm';
}