ai: Settings → AI (local endpoints only, with tests), the AI stack, voicemail transcripts
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@@ -0,0 +1,98 @@
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// SPDX-License-Identifier: AGPL-3.0-or-later
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import { createServer, type IncomingMessage, type Server } from 'node:http';
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import type { AddressInfo } from 'node:net';
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import { afterAll, beforeAll, describe, expect, it } from 'vitest';
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import { assertLocalUrl, chat, silentWav, speak, testEndpoint, transcribe } from './client.ts';
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describe('assertLocalUrl', () => {
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it.each([
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'http://127.0.0.1:11434/v1',
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'http://localhost:8000/v1',
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'https://192.168.1.50/v1',
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'http://10.0.0.5:8000',
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'http://172.20.0.1:8000',
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'http://[::1]:8000/v1',
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'http://[fd00::5]/v1',
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])('%s is local', (u) => expect(() => assertLocalUrl(u)).not.toThrow());
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it.each([
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['http://api.openai.com/v1', /use an IP address/],
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['http://ollama.lan:11434', /use an IP address/],
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['http://8.8.8.8/v1', /not on this server or the local network/],
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['http://100.64.1.2/v1', /not on this server/], // CGNAT / Tailscale: may cross the internet
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['http://172.32.0.1/v1', /not on this server/],
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['ftp://127.0.0.1/', /only http/],
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['nonsense', /not an address/],
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])('%s is refused', (u, msg) => expect(() => assertLocalUrl(u)).toThrow(msg));
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});
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describe('OpenAI-style calls', () => {
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let server: Server;
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let base: string;
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const seen: { path: string; type: string; body: string }[] = [];
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const read = (req: IncomingMessage) =>
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new Promise<string>((r) => {
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let b = '';
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req.setEncoding('latin1').on('data', (c: string) => (b += c));
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req.on('end', () => r(b));
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});
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beforeAll(async () => {
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server = createServer((req, res) => {
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void read(req).then((body) => {
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seen.push({ path: req.url!, type: req.headers['content-type'] ?? '', body });
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if (req.url === '/v1/audio/transcriptions') return res.end('{"text":" Call me back. "}');
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if (req.url === '/v1/audio/speech') return res.end(silentWav());
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if (req.url === '/v1/chat/completions')
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return res.end(
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JSON.stringify({
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choices: [{ message: { content: '<think>\nhm\n</think>\n\n OK ' } }],
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}),
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);
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res.writeHead(404).end('model "nope" not found');
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});
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});
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await new Promise<void>((r) => server.listen(0, '127.0.0.1', r));
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base = `http://127.0.0.1:${(server.address() as AddressInfo).port}/v1`;
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});
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afterAll(() => server.close());
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it('transcribe: multipart with the file and model, the text trimmed', async () => {
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expect(await transcribe({ url: base, model: 'whisper' }, silentWav())).toBe('Call me back.');
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const r = seen.at(-1)!;
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expect(r.type).toMatch(/^multipart\/form-data; boundary=/);
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expect(r.body).toContain('name="model"\r\n\r\nwhisper');
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expect(r.body).toContain('filename="audio.wav"');
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expect(r.body).toContain('RIFF');
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});
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it('speak: JSON in, WAV out; chat: the answer', async () => {
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const wav = await speak({ url: `${base}/`, model: 'kokoro', voice: 'af_heart' }, 'Hi');
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expect(wav.subarray(0, 4).toString()).toBe('RIFF');
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expect(JSON.parse(seen.at(-1)!.body)).toEqual({
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model: 'kokoro',
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voice: 'af_heart',
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input: 'Hi',
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response_format: 'wav',
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});
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expect(await chat({ url: base, model: 'm' }, [{ role: 'user', content: 'x' }])).toBe('OK');
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});
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it('errors say what went wrong; tests report them', async () => {
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await expect(transcribe({ url: `${base}/wrong`, model: 'm' }, silentWav())).rejects.toThrow(
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/wrong\/audio\/transcriptions: HTTP 404: model "nope" not found/,
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);
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await expect(
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transcribe({ url: 'http://127.0.0.1:1/v1', model: 'm' }, silentWav()),
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).rejects.toThrow(/Can't reach 127.0.0.1:1/);
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expect(await testEndpoint('stt', { url: 'http://8.8.8.8/v1', model: 'm' })).toEqual({
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ok: false,
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error: '8.8.8.8 is not on this server or the local network',
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});
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const tts = await testEndpoint('tts', { url: base, model: 'k', voice: 'v' });
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expect(tts).toMatchObject({
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ok: true,
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audio: expect.stringMatching(/^data:audio\/wav;base64,UklG/),
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});
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});
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});
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@@ -0,0 +1,174 @@
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// SPDX-License-Identifier: AGPL-3.0-or-later
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// Local AI (spec 10): OpenAI-style APIs (Ollama, Speaches, llama.cpp, …) on this server or the
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// local network. Nothing else is called: an address must be an IP on a local network or
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// localhost, written as such, so no DNS answer can send audio or text anywhere else.
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import { BlockList, isIP } from 'node:net';
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import type { AiEndpoint, AiTestResult, AiTtsEndpoint } from '@selfphoneng/shared';
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export class AiError extends Error {}
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const LOCAL = new BlockList();
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for (const [net, bits] of [
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['127.0.0.0', 8],
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['10.0.0.0', 8],
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['172.16.0.0', 12],
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['192.168.0.0', 16],
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] as const)
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LOCAL.addSubnet(net, bits, 'ipv4');
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for (const [net, bits] of [
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['::1', 128],
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['fc00::', 7],
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['fe80::', 10],
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] as const)
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LOCAL.addSubnet(net, bits, 'ipv6');
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/** Throws unless `url` is http(s) to localhost or a local-network IP. */
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export function assertLocalUrl(url: string): void {
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let u: URL;
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try {
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u = new URL(url);
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} catch {
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throw new AiError(`${url} is not an address`);
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}
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const host = u.hostname.replace(/^\[|\]$/g, '');
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if (!/^https?:$/.test(u.protocol)) throw new AiError(`${url}: only http and https`);
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if (host === 'localhost') return;
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const v = isIP(host);
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if (!v)
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throw new AiError(
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`${host}: use an IP address (or localhost), so the address can't lead off this network`,
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);
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if (!LOCAL.check(host, v === 6 ? 'ipv6' : 'ipv4'))
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throw new AiError(`${host} is not on this server or the local network`);
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}
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async function call(
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base: string,
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path: string,
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init: RequestInit,
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timeoutMs: number,
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): Promise<Response> {
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assertLocalUrl(base);
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const url = new URL(path, base.endsWith('/') ? base : `${base}/`);
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let r: Response;
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try {
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r = await fetch(url, { ...init, redirect: 'error', signal: AbortSignal.timeout(timeoutMs) });
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} catch (err) {
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const e = err as Error & { cause?: { code?: string } };
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throw new AiError(
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e.name === 'TimeoutError'
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? `${url.host} didn't answer within ${timeoutMs / 1000} s`
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: `Can't reach ${url.host}${e.cause?.code ? ` (${e.cause.code})` : ''}`,
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);
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}
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if (!r.ok) {
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const body = (await r.text().catch(() => '')).slice(0, 300);
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throw new AiError(`${url.pathname}: HTTP ${r.status}${body ? `: ${body}` : ''}`);
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}
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return r;
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}
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/** Speech to text: the words in a WAV (or any format the server reads). */
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export async function transcribe(ep: AiEndpoint, audio: Buffer, timeoutMs = 180_000) {
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const form = new FormData();
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form.append('file', new Blob([new Uint8Array(audio)], { type: 'audio/wav' }), 'audio.wav');
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form.append('model', ep.model);
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form.append('response_format', 'json');
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const r = await call(ep.url, 'audio/transcriptions', { method: 'POST', body: form }, timeoutMs);
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const { text } = (await r.json()) as { text?: unknown };
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if (typeof text !== 'string') throw new AiError('audio/transcriptions: no text in the answer');
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return text.trim();
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}
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/** Text to speech: a WAV. */
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export async function speak(ep: AiTtsEndpoint, input: string, timeoutMs = 60_000) {
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const r = await call(
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ep.url,
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'audio/speech',
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{
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method: 'POST',
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headers: { 'content-type': 'application/json' },
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body: JSON.stringify({ model: ep.model, voice: ep.voice, input, response_format: 'wav' }),
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},
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timeoutMs,
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);
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return Buffer.from(await r.arrayBuffer());
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}
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/** One chat answer from the LLM. */
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export async function chat(
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ep: AiEndpoint,
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messages: { role: 'system' | 'user' | 'assistant'; content: string }[],
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opts: { maxTokens?: number; timeoutMs?: number } = {},
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) {
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const r = await call(
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ep.url,
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'chat/completions',
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{
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method: 'POST',
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headers: { 'content-type': 'application/json' },
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body: JSON.stringify({
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model: ep.model,
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messages,
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max_tokens: opts.maxTokens,
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stream: false,
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}),
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},
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opts.timeoutMs ?? 120_000,
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);
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const j = (await r.json()) as { choices?: { message?: { content?: unknown } }[] };
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const content = j.choices?.[0]?.message?.content;
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if (typeof content !== 'string') throw new AiError('chat/completions: no answer');
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// Thinking models (Qwen3, …) may put their reasoning inline; only the answer is wanted.
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return content.replace(/<think>[\s\S]*?<\/think>/g, '').trim();
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}
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/** One second of 8 kHz silence: enough for a speech-to-text server to load its model and answer. */
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export function silentWav(seconds = 1): Buffer {
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const n = 8000 * seconds;
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const b = Buffer.alloc(44 + n * 2);
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b.write('RIFF', 0);
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b.writeUInt32LE(36 + n * 2, 4);
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b.write('WAVEfmt ', 8);
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b.writeUInt32LE(16, 16);
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b.writeUInt16LE(1, 20); // PCM
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b.writeUInt16LE(1, 22); // mono
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b.writeUInt32LE(8000, 24);
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b.writeUInt32LE(16000, 28);
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b.writeUInt16LE(2, 32);
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b.writeUInt16LE(16, 34);
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b.write('data', 36);
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b.writeUInt32LE(n * 2, 40);
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return b;
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}
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/** Settings → AI → Test: a tiny real request. The first one may load a model, so it can be slow. */
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export async function testEndpoint(
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kind: 'llm' | 'stt' | 'tts',
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ep: AiEndpoint | AiTtsEndpoint,
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): Promise<AiTestResult> {
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const t0 = Date.now();
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try {
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if (kind === 'llm') {
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const a = await chat(ep, [{ role: 'user', content: 'Reply with just: OK' }], {
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maxTokens: 400, // room for a thinking model to think first
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});
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return { ok: true, ms: Date.now() - t0, detail: `Answered: ${a.slice(0, 80)}` };
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}
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if (kind === 'stt') {
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await transcribe(ep, silentWav());
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return { ok: true, ms: Date.now() - t0, detail: 'Transcribed a second of silence' };
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}
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if (!('voice' in ep)) throw new AiError('A voice is needed');
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const wav = await speak(ep, 'Hello, this is your phone system.');
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if (wav.length < 1000) throw new AiError('audio/speech: the audio is empty');
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return {
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ok: true,
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ms: Date.now() - t0,
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detail: `${Math.round(wav.length / 1024)} KB of audio`,
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audio: `data:audio/wav;base64,${wav.toString('base64')}`,
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};
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} catch (err) {
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return { ok: false, error: err instanceof AiError ? err.message : String(err) };
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}
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}
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@@ -0,0 +1 @@
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ALTER TABLE "voicemail_messages" ADD COLUMN "transcript" text;
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File diff suppressed because it is too large.
Load diff
@@ -43,6 +43,13 @@
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"when": 1792606712441,
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"tag": "0005_moh_order",
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"breakpoints": true
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},
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{
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"idx": 6,
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"version": "7",
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"when": 1792624567407,
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"tag": "0006_voicemail_transcript",
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"breakpoints": true
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}
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]
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}
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@@ -590,6 +590,8 @@ export const voicemailMessages = pgTable('voicemail_messages', {
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filePath: text().notNull(),
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emailedAt: tstz(),
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deletedAt: tstz(),
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/** Speech to text (spec 10), when ai.voicemailTranscripts is on; null: none (yet). */
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transcript: text(),
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...timestamps,
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});
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@@ -4,8 +4,11 @@ import { eq, inArray } from 'drizzle-orm';
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import type { FastifyInstance } from 'fastify';
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import { z } from 'zod';
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import {
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AiEndpointSchema,
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AiTtsEndpointSchema,
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SettingsSchemas,
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SmtpInputSchema,
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type AiTestResult,
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type Destination,
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type SettingKey,
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type SettingsDto,
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@@ -24,6 +27,7 @@ import { readTlsCert } from '../services/tls.ts';
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import { backupMissed } from '../services/backup.ts';
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import { detectPublicIp } from '../jobs.ts';
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import type { SendMail } from '../services/mail.ts';
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import { AiError, assertLocalUrl, testEndpoint } from '../ai/client.ts';
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declare module 'fastify' {
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interface FastifyInstance {
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@@ -114,6 +118,15 @@ export async function settingsRoutes(app: FastifyInstance) {
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} else values[key] = SettingsSchemas[key as SettingKey].parse(raw);
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}
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await checkRefs(db, values);
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for (const key of ['ai.llm', 'ai.stt', 'ai.tts'] as const) {
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const ep = values[key] as { url: string } | null | undefined;
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try {
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if (ep) assertLocalUrl(ep.url);
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} catch (err) {
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if (err instanceof AiError) throw badRequest(`${key}: ${err.message}`);
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throw err;
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}
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}
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const before = await getAllSettings(db);
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// SIP ports may not land on another listener (Asterisk would fail to start the transport).
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const c = app.config;
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@@ -214,6 +227,15 @@ export async function settingsRoutes(app: FastifyInstance) {
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return { ok: true };
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});
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/** Settings → AI → Test (spec 10): the values in the form, saved or not. */
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app.post('/api/ai/test', async (req): Promise<AiTestResult> => {
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const { kind } = z.object({ kind: z.enum(['llm', 'stt', 'tts']) }).parse(req.body);
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const ep = (kind === 'tts' ? AiTtsEndpointSchema : AiEndpointSchema).parse(
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(req.body as { endpoint?: unknown }).endpoint,
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);
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return testEndpoint(kind, ep);
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});
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/** The SIP TLS certificate, for Settings → Security (M11-T2). */
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app.get('/api/system/tls', () => readTlsCert(app.config.TLS_DIR));
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@@ -6,8 +6,20 @@ import type { Db } from '../db/client.ts';
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import { settings } from '../db/schema.ts';
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import { randomAlnum } from '../crypto/secrets.ts';
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/** AI_<KIND>_URL and _MODEL (and AI_TTS_VOICE) start an install with its AI endpoints set. */
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function aiFromEnv(kind: 'LLM' | 'STT' | 'TTS') {
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const e = process.env;
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const [url, model, voice] = [e[`AI_${kind}_URL`], e[`AI_${kind}_MODEL`], e.AI_TTS_VOICE];
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if (!url || !model || (kind === 'TTS' && !voice)) return null;
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return kind === 'TTS' ? { url, model, voice } : { url, model };
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}
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function defaultFor<K extends SettingKey>(key: K): SettingValue<K> {
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if (key === 'general.timezone' && process.env.TZ) return process.env.TZ as SettingValue<K>;
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if (key === 'ai.llm' || key === 'ai.stt' || key === 'ai.tts') {
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const v = aiFromEnv(key === 'ai.llm' ? 'LLM' : key === 'ai.stt' ? 'STT' : 'TTS');
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if (v) return SettingsSchemas[key].parse(v) as SettingValue<K>;
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}
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return SettingsSchemas[key].parse(undefined) as SettingValue<K>;
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}
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@@ -17,6 +17,7 @@ import {
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import { field, type AmiMessage } from '../ami/events.ts';
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import type { Db } from '../db/client.ts';
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import { extensions, users, voicemailMessages } from '../db/schema.ts';
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import { transcribe } from '../ai/client.ts';
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import { MailNotConfigured, type SendMail } from './mail.ts';
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import { getSetting } from './settings.ts';
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import { enqueueWebhook } from './webhooks.ts';
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@@ -60,6 +61,7 @@ export const toVoicemailDto = (r: Row): VoicemailDto => ({
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callerName: r.callerName,
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durationS: r.durationS,
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receivedAt: r.receivedAt.toISOString(),
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transcript: r.transcript,
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});
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/** Everything in one mailbox's INBOX, Old and Urgent folders. filePath is relative to the spool. */
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@@ -99,7 +101,26 @@ type Box = {
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voicemailDeleteAfterEmail: boolean;
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};
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async function announce(d: VoicemailDeps, box: Box, row: Row) {
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/** Speech to text before anyone is told, so the email has the words. Null: off, or it failed. */
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async function transcribeMessage(d: VoicemailDeps, row: Row): Promise<string | null> {
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const stt = await getSetting(d.db, 'ai.stt');
|
||||
if (!stt || !(await getSetting(d.db, 'ai.voicemailTranscripts'))) return null;
|
||||
try {
|
||||
const text = await transcribe(stt, await readFile(join(d.spoolDir, row.filePath)));
|
||||
await d.db
|
||||
.update(voicemailMessages)
|
||||
.set({ transcript: text })
|
||||
.where(eq(voicemailMessages.id, row.id));
|
||||
return text;
|
||||
} catch (err) {
|
||||
d.log.error({ err, msgId: row.msgId }, 'voicemail transcript failed');
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async function announce(d: VoicemailDeps, box: Box, found: Row) {
|
||||
const transcript = await transcribeMessage(d, found);
|
||||
const row = { ...found, transcript };
|
||||
// Every mailbox, with or without a user (the live message is only for the user's own).
|
||||
void enqueueWebhook(d.db, 'voicemail.new', {
|
||||
...toVoicemailDto(row),
|
||||
@@ -125,6 +146,9 @@ async function announce(d: VoicemailDeps, box: Box, row: Row) {
|
||||
`Number: ${row.callerNumber ? formatNumber(row.callerNumber) : 'unknown'}`,
|
||||
`Received: ${at}`,
|
||||
`Length: ${mmss(row.durationS)}`,
|
||||
...(transcript === null
|
||||
? []
|
||||
: ['', 'What they said (automatic, may have mistakes):', transcript || '(no words)']),
|
||||
'',
|
||||
`Listen: https://${d.publicHost}/me/voicemail`,
|
||||
].join('\n'),
|
||||
|
||||
@@ -1,12 +1,15 @@
|
||||
// SPDX-License-Identifier: AGPL-3.0-or-later
|
||||
// M4-T2: voicemail index, live event and email (04 §5.6, §10).
|
||||
import { mkdirSync, renameSync, rmSync, writeFileSync } from 'node:fs';
|
||||
import { createServer } from 'node:http';
|
||||
import type { AddressInfo } from 'node:net';
|
||||
import { join } from 'node:path';
|
||||
import { eq } from 'drizzle-orm';
|
||||
import { afterAll, beforeAll, describe, expect, it } from 'vitest';
|
||||
import type { LiveMessage } from '@selfphoneng/shared';
|
||||
import { extensions, voicemailMessages } from '../src/db/schema.ts';
|
||||
import { parseCallerId, type watchVoicemail } from '../src/services/voicemail.ts';
|
||||
import { setSetting } from '../src/services/settings.ts';
|
||||
import { hasTestDb } from './db.ts';
|
||||
import { ADMIN, H, createTestApp } from './app.ts';
|
||||
|
||||
@@ -159,4 +162,45 @@ describe.skipIf(!hasTestDb)('voicemail watcher', () => {
|
||||
const r = (await rows()).find((x) => x.msgId === '1792300600-00000003')!;
|
||||
expect(r).toMatchObject({ emailedAt: null, deletedAt: null });
|
||||
});
|
||||
|
||||
it('spec 10: with transcripts on, the words go in the row, the email and the list', async () => {
|
||||
let fail = false;
|
||||
const stt = createServer((req, res) => {
|
||||
req.resume();
|
||||
req.on('end', () =>
|
||||
fail ? res.writeHead(500).end('out of memory') : res.end('{"text":" Please call me. "}'),
|
||||
);
|
||||
});
|
||||
await new Promise<void>((ok) => stt.listen(0, '127.0.0.1', ok));
|
||||
const url = `http://127.0.0.1:${(stt.address() as AddressInfo).port}/v1`;
|
||||
await setSetting(t.db, 'ai.stt', { url, model: 'whisper' });
|
||||
await setSetting(t.db, 'ai.voicemailTranscripts', true);
|
||||
try {
|
||||
leave('INBOX', 3, '1792300700-00000004', '<104>');
|
||||
await w.scan('101');
|
||||
const r = (await rows()).find((x) => x.msgId === '1792300700-00000004')!;
|
||||
expect(r.transcript).toBe('Please call me.');
|
||||
expect(t.mails.at(-1)!.text).toContain(
|
||||
'What they said (automatic, may have mistakes):\nPlease call me.',
|
||||
);
|
||||
const list = await t.app.inject({
|
||||
method: 'GET',
|
||||
url: '/api/me/voicemail',
|
||||
headers: { ...H, cookie: await t.login('dan@example.com', 'dan-password-123') },
|
||||
});
|
||||
expect(list.json().items).toContainEqual(
|
||||
expect.objectContaining({ id: r.id, transcript: 'Please call me.' }),
|
||||
);
|
||||
|
||||
// The speech server failing doesn't hold up the email.
|
||||
fail = true;
|
||||
leave('INBOX', 4, '1792300800-00000005', '<105>');
|
||||
await w.scan('101');
|
||||
expect((await rows()).find((x) => x.msgId === '1792300800-00000005')!.transcript).toBeNull();
|
||||
expect(t.mails.at(-1)!.text).not.toContain('What they said');
|
||||
} finally {
|
||||
await setSetting(t.db, 'ai.voicemailTranscripts', false);
|
||||
stt.close();
|
||||
}
|
||||
});
|
||||
});
|
||||
Reference in new issue
Block a user