extract speech-to-text into its own plugin

Moves platform STT out into a plugin that owns the whole whisper.cpp contract: sidecar,
config (a JSON file under DATA_PATH/transcribe/, validated against the server before
storing), a thin proxy router, a skill so an agent knows the contract without being told,
and a script-mode file-browser task (not agentic — no model turn per audio file).

sidecar/transcribe.ts and its test moved unchanged from src/servers/api/stt/ — every
constant in it has a reason attached and none of it was touched.

The platform-side removal (routes, dead useAudioRecording path, Settings screen, locale
keys) lands in a separate, uncommitted change in the platform repo for review.

Not yet reachable from the file browser: the platform does not load tasks from a plugin's
directory yet (skills/affordances/notifications do). Ships anyway per instructions.

Officer-Session: 656f5c85-e49a-4f1f-b9f3-042a04b4d043
This commit is contained in:
2026-08-24 03:28:04 +00:00
commit 3da6d11c00
11 changed files with 1192 additions and 0 deletions
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---
name: Transcribe Audio File
description: Transcribe an audio file to text over your own whisper.cpp server, no model turn per file.
category: Media
version: 1
mode: script
inline: false
language: typescript
tags:
- audio
- transcription
skills:
- transcribe
inputs:
- name: file_path
description: Path to the audio file to transcribe. Auto-filled from the file browser.
required: true
trigger:
- type: file
extensions:
- mp3
- wav
- m4a
---
# Transcribe Audio File
Sends the audio file to the `transcribe` plugin's own route — `POST /api/transcribe/transcribe` — and
files the result next to the original.
A **script** task, deliberately: the plugin already does its own language detection and transcription
server-side, so there is nothing here worth a model turn for. Running one per audio file would be a
model call spent re-deriving what the plugin already returns.
## What it does
1. Read the audio file at `file_path` and the caller's spoken-language preferences
(`GET /api/user/settings`).
2. `POST` the file to `/api/transcribe/transcribe`. The plugin detects the language and transcribes
faithfully in it — see `plugins/transcribe/skills/transcribe/SKILL.md` for the contract.
3. Create a sibling directory named `<date>_<slug>`, where `<date>` is today in `YYYYMMDD` and `<slug>`
is derived from the original file's own name (not a generated title — a script task gets no model
turn to ask for one).
4. Move the original audio file into that directory and save the transcription beside it as a
Markdown file with the same base name.
## Before it runs
The plugin has to be configured — `PUT /api/transcribe/config` with a reachable whisper.cpp URL. If it
is not, this fails with that told plainly rather than a generic error.
## What it deliberately does not do
The worked example this was adapted from (an agentic task) ran its own detect-language pass before
transcribing, and generated a title from the transcription's contents. Both are dropped here: the
detect-then-transcribe step is already what the plugin's route does internally, so repeating it would be
redundant work against the same server. And a generated title needs a model turn, which is exactly what
this task exists to avoid spending per file.
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// Transcribe Audio File — a SCRIPT task, so this is a plain program, not an agent. It is materialized
// alone into a temp dir and run with `bun run index.ts` (see platform/CLAUDE.md → "Task-runner data flow"),
// which means it must be fully self-contained: no sibling imports, everything inline.
//
// Calls Officer's own API rather than talking to whisper.cpp directly — the platform hands every script
// task OFFICER_API_URL / OFFICER_API_HOST / OFFICER_AUTH_TOKEN for exactly this (see
// src/servers/api/tasks/task-api-env.ts). The transcribe plugin owns the Whisper contract; this script
// only owns filing the result.
import { rename, mkdir } from 'node:fs/promises';
import { existsSync } from 'node:fs';
import { basename, dirname, join, extname } from 'node:path';
const filePath = process.env.INPUT_FILE_PATH;
if (!filePath) {
console.error('file_path is required');
process.exit(1);
}
const apiUrl = process.env.OFFICER_API_URL;
const apiHost = process.env.OFFICER_API_HOST;
const authToken = process.env.OFFICER_AUTH_TOKEN;
if (!apiUrl || !apiHost || !authToken) {
console.error('missing OFFICER_API_URL / OFFICER_API_HOST / OFFICER_AUTH_TOKEN — not running as a task?');
process.exit(1);
}
const authHeaders = { Authorization: `Bearer ${authToken}`, Host: apiHost };
const slugify = (name: string) =>
name
.trim()
.toLowerCase()
.replace(/\s+/g, '-')
.replace(/[^a-z0-9-]/g, '')
.replace(/-+/g, '-')
.replace(/^-|-$/g, '');
async function getSpokenLanguages(): Promise<string[]> {
try {
const res = await fetch(`${apiUrl}/api/user/settings`, { headers: authHeaders });
if (!res.ok) return [];
const settings = (await res.json()) as { languages?: { spoken?: string[] } };
return settings.languages?.spoken ?? [];
} catch {
// Not fatal — the plugin's own detection still runs, spoken languages only break a genuine tie.
return [];
}
}
async function transcribe(path: string, spokenLanguages: string[]): Promise<{ text: string; detectedLanguage: string }> {
const form = new FormData();
form.append('file', Bun.file(path), basename(path));
for (const lang of spokenLanguages) form.append('spokenLanguages', lang);
const res = await fetch(`${apiUrl}/api/transcribe/transcribe`, {
method: 'POST',
headers: authHeaders,
body: form,
});
const json = (await res.json().catch(() => null)) as { text?: string; detectedLanguage?: string; error?: string } | null;
if (!res.ok || !json) {
throw new Error(json?.error ?? `transcription failed (${res.status})`);
}
return { text: json.text ?? '', detectedLanguage: json.detectedLanguage ?? 'unknown' };
}
/** `<archiveDir>/<name>`, walking `-2`, `-3`, … past a collision. Same shape as the file browser's own. */
async function uniqueDir(parentDir: string, name: string): Promise<string> {
let candidate = join(parentDir, name);
let n = 2;
while (existsSync(candidate)) {
candidate = join(parentDir, `${name}-${n}`);
n += 1;
}
return candidate;
}
async function main() {
const path = filePath!;
if (!existsSync(path)) {
console.error(`no such file: ${path}`);
process.exit(1);
}
const spokenLanguages = await getSpokenLanguages();
console.log(`Transcribing ${basename(path)}…`);
const { text, detectedLanguage } = await transcribe(path, spokenLanguages);
console.log(`Detected language: ${detectedLanguage}`);
const parentDir = dirname(path);
const ext = extname(path);
const base = basename(path, ext);
const now = new Date();
const date = `${now.getFullYear()}${String(now.getMonth() + 1).padStart(2, '0')}${String(now.getDate()).padStart(2, '0')}`;
// No model turn to ask for a title (see TASK.md), so the slug comes from the original filename rather
// than the transcription's contents.
const slug = slugify(base) || 'recording';
const archiveDir = await uniqueDir(parentDir, `${date}_${slug}`);
await mkdir(archiveDir, { recursive: true });
const archivedAudioPath = join(archiveDir, basename(path));
await rename(path, archivedAudioPath);
const transcriptPath = join(archiveDir, `${base}.md`);
await Bun.write(transcriptPath, text);
console.log(`Filed under ${archiveDir}`);
}
main().catch((err) => {
console.error(err instanceof Error ? err.message : String(err));
process.exit(1);
});