Add OpenAI-compatible voice servers (faster-whisper + Kokoro)

Path B from VoiceModels.md — adds two new compose stacks alongside the
Wyoming pair so OpenWebUI/Conduit get voice without a Wyoming-shim:

- compose/faster-whisper.yml — fedirz/faster-whisper-server CPU image,
  large-v3-turbo by default, OpenAI /v1/audio/transcriptions on :8001.
  Built-in web UI for ad-hoc transcription.
- compose/kokoro.yml — ghcr.io/remsky/kokoro-fastapi-cpu, Kokoro-82M,
  OpenAI /v1/audio/speech on :8880.

Both run alongside (not instead of) Wyoming Whisper + Piper — Wyoming
keeps serving HA Assist, OpenAI-API serves OpenWebUI / Conduit. Memory
budget on Strix Halo accommodates everything plus Qwen3-Coder loaded
concurrently with plenty of headroom.

Homepage gets dedicated tiles for both. README documents the
OpenWebUI Audio configuration that wires the new endpoints. Conduit
inherits voice via OpenWebUI without app-side setup.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

pyinfra/framework/README.md

@@ -42,14 +42,15 @@ Or run it ephemerally without installing: `uvx pyinfra inventory.py deploy.py`.
   Requires a reboot to activate — pyinfra rewrites `/etc/default/grub`
   and runs `update-grub`, but won't reboot for you.
 - `/models/<vendor>/` layout
-- `/srv/docker/{llama,vllm,ollama,openwebui,beszel,openlit,phoenix,openhands,homepage,whisper,piper}/docker-compose.yml`
+- `/srv/docker/{llama,vllm,ollama,openwebui,beszel,openlit,phoenix,openhands,homepage,whisper,piper,faster-whisper,kokoro}/docker-compose.yml`
   dropped in, not auto-started — you edit the model path then
   `docker compose up -d`
   (OpenWebUI needs no edits — it's pre-configured to find Ollama at
   `host.docker.internal:11434` and uses `searxng.n0n.io` for web search)
   (Beszel hub at :8090, OpenLIT UI at :3001, Phoenix UI at :6006,
-  OpenHands UI at :3030, Homepage at :7575, Whisper STT at :10300,
-  Piper TTS at :10200 — see "Monitoring stack", "Agent harnesses",
+  OpenHands UI at :3030, Homepage at :7575, Whisper Wyoming :10300,
+  Piper Wyoming :10200, faster-whisper OpenAI-API :8001, Kokoro
+  OpenAI-API :8880 — see "Monitoring stack", "Agent harnesses",
   "Front door", and "Voice" below)
 
 If a previous run installed the native llama.cpp build / full ROCm /
@@ -88,28 +89,65 @@ the homepage container.
 
 ## Voice
 
-Wyoming-protocol speech servers (Home Assistant's voice stack). No web
-UI — these are TCP protocol servers consumable by HA Assist, Wyoming
-satellites, or any Wyoming client.
+Two parallel voice stacks, each speaking a different protocol so they
+serve different clients without conflicting.
 
-- **Whisper** (`/srv/docker/whisper`, `tcp://framework:10300`) —
-  speech-to-text. Default model is `tiny-int8` (~75 MB). Models
-  download into `/srv/docker/whisper/data/` on first run.
+### Wyoming (Home Assistant Assist)
 
-- **Piper** (`/srv/docker/piper`, `tcp://framework:10200`) —
-  text-to-speech. Default voice is `en_US-lessac-medium` (~63 MB).
-  Browse alternatives at <https://github.com/rhasspy/piper/blob/master/VOICES.md>.
+Wyoming-protocol speech servers. No web UI — TCP protocol servers
+consumable by HA Assist, Wyoming satellites, or any Wyoming client.
 
-Bring-up:
+- **Whisper** (`/srv/docker/whisper`, `tcp://framework:10300`) — STT.
+  Default model `tiny-int8` (~75 MB). Models download into
+  `/srv/docker/whisper/data/` on first run.
+
+- **Piper** (`/srv/docker/piper`, `tcp://framework:10200`) — TTS.
+  Default voice `en_US-lessac-medium` (~63 MB). Voice catalog at
+  <https://github.com/rhasspy/piper/blob/master/VOICES.md>.
+
+### OpenAI-compatible (OpenWebUI, Conduit, scripts)
+
+OpenAI-API-compatible servers — `/v1/audio/transcriptions` and
+`/v1/audio/speech`. Used by OpenWebUI's Audio settings (and through
+OpenWebUI, by the Conduit Android app).
+
+- **faster-whisper** (`/srv/docker/faster-whisper`,
+  http://framework:8001) — STT, model `large-v3-turbo` by default
+  (~810 MB). CPU-mode container; Strix Halo's 16 Zen 5 cores keep it
+  real-time. Built-in web UI at <http://framework:8001/>.
+
+- **Kokoro** (`/srv/docker/kokoro`, http://framework:8880) — TTS,
+  Kokoro-82M (~340 MB). Apache 2.0, much more natural than Piper.
+
+Bring-up (all four):
 ```sh
-cd /srv/docker/whisper && docker compose up -d
-cd /srv/docker/piper && docker compose up -d
+for svc in whisper piper faster-whisper kokoro; do
+  ( cd /srv/docker/$svc && docker compose up -d )
+done
 ```
 
-Both are conservative defaults sized for "small command-style usage";
-on Strix Halo's hardware budget you can run substantially better
-models. See [`localgenai/VoiceModels.md`](../../VoiceModels.md) for the
-landscape and upgrade options.
+### Wiring OpenWebUI for voice
+
+OpenWebUI Admin → Settings → Audio:
+
+- **STT**: `OpenAI` engine, URL `http://faster-whisper:8000/v1`,
+  any non-empty API key, model `Systran/faster-whisper-large-v3-turbo`.
+- **TTS**: `OpenAI` engine, URL `http://kokoro:8880/v1`, any non-empty
+  API key, voice `af_bella` (or any from the Kokoro voices list).
+
+The hostnames `faster-whisper` and `kokoro` work because all containers
+share Docker's default bridge network (or you can use `host.docker.internal:8001`
+and `:8880` if OpenWebUI can't resolve them by container name — depends
+on whether you're running OpenWebUI on the user-defined or default
+bridge).
+
+After saving, the microphone icon in OpenWebUI activates and a
+voice-call quick action appears. Conduit on Android (an OpenWebUI
+client) inherits this configuration automatically — no app-side voice
+setup.
+
+See [`localgenai/VoiceModels.md`](../../VoiceModels.md) for the
+landscape and further upgrade options (Sesame CSM, F5-TTS, etc.).
 
 ## Front door
 

pyinfra/framework/compose/faster-whisper.yml

@@ -0,0 +1,30 @@
+# faster-whisper-server — OpenAI-compatible STT.
+# https://github.com/fedirz/faster-whisper-server
+#
+# Speaks `/v1/audio/transcriptions` (and `/v1/audio/translations`) so any
+# client that talks to OpenAI's audio API works without changes —
+# OpenWebUI, Conduit (via OpenWebUI), arbitrary scripts.
+#
+# Runs alongside (not instead of) Wyoming Whisper. Wyoming stays for
+# Home Assistant Assist; this server is for OpenAI-API consumers.
+#
+# CPU mode: Strix Halo's 16 Zen 5 cores comfortably real-time even on
+# large-v3-turbo. CTranslate2's ROCm support for gfx1151 is unreliable;
+# CPU sidesteps that.
+services:
+  faster-whisper:
+    image: fedirz/faster-whisper-server:latest-cpu
+    container_name: faster-whisper
+    restart: unless-stopped
+    ports:
+      - "8001:8000"
+    environment:
+      # Default model loaded on first request. Auto-downloads on use.
+      WHISPER__MODEL: Systran/faster-whisper-large-v3-turbo
+      WHISPER__INFERENCE_DEVICE: cpu
+      WHISPER__COMPUTE_TYPE: int8
+      # Built-in web UI at /
+      ENABLE_UI: "true"
+    volumes:
+      # Persist model downloads across container recreates.
+      - /srv/docker/faster-whisper/cache:/root/.cache/huggingface

pyinfra/framework/compose/homepage/services.yaml

@@ -74,20 +74,35 @@
         container: phoenix
 
 - Voice:
-    # Wyoming-protocol services have no web UI; tiles are informational
-    # (container status + port). Click-through goes nowhere meaningful.
-    - Whisper:
+    # Wyoming-protocol services have no web UI; tiles are informational.
+    # The OpenAI-compatible servers (faster-whisper, Kokoro) have UIs /
+    # APIs you can hit directly.
+    - Whisper (Wyoming):
         icon: mdi-microphone-message
-        description: Speech-to-text (Wyoming :10300)
+        description: STT for Home Assistant Assist (Wyoming :10300)
         server: localhost-docker
         container: wyoming-whisper
 
-    - Piper:
+    - Piper (Wyoming):
         icon: mdi-account-voice
-        description: Text-to-speech (Wyoming :10200)
+        description: TTS for Home Assistant Assist (Wyoming :10200)
         server: localhost-docker
         container: wyoming-piper
 
+    - faster-whisper:
+        icon: mdi-microphone
+        href: http://framework:8001
+        description: STT (OpenAI API) — large-v3-turbo, used by OpenWebUI/Conduit
+        server: localhost-docker
+        container: faster-whisper
+
+    - Kokoro:
+        icon: mdi-account-music
+        href: http://framework:8880/web
+        description: TTS (OpenAI API) — Kokoro-82M, used by OpenWebUI/Conduit
+        server: localhost-docker
+        container: kokoro
+
 - External:
     - SearXNG:
         icon: searxng.svg

pyinfra/framework/compose/kokoro.yml

@@ -0,0 +1,20 @@
+# Kokoro-FastAPI — OpenAI-compatible TTS in front of Kokoro-82M.
+# https://github.com/remsky/Kokoro-FastAPI
+#
+# Speaks `/v1/audio/speech`. Pair with faster-whisper-server for a full
+# OpenAI-compatible voice loop driving OpenWebUI / Conduit.
+#
+# Kokoro-82M (hexgrad, Jan 2025) is small (~340 MB) but produces
+# noticeably more natural prosody than Piper. Apache 2.0 licence.
+# CPU image is plenty fast for this model size on Strix Halo.
+services:
+  kokoro:
+    image: ghcr.io/remsky/kokoro-fastapi-cpu:latest
+    container_name: kokoro
+    restart: unless-stopped
+    ports:
+      # 8880 is Kokoro-FastAPI's own default — keeping the same on the
+      # host side so docs/tutorials line up.
+      - "8880:8880"
+    volumes:
+      - /srv/docker/kokoro/models:/app/api/src/models

pyinfra/framework/deploy.py

@@ -341,6 +341,8 @@ for svc in (
     "homepage",
     "whisper",
     "piper",
+    "faster-whisper",
+    "kokoro",
 ):
     files.directory(
         name=f"compose/{svc} dir",
@@ -490,6 +492,23 @@ files.directory(
     _sudo=True,
 )
 
+# OpenAI-compatible voice servers — alternative path to Wyoming, used by
+# OpenWebUI's Audio settings (and through it, Conduit on Android).
+files.directory(
+    name="faster-whisper cache dir",
+    path=f"{COMPOSE_DIR}/faster-whisper/cache",
+    group="docker",
+    mode="2775",
+    _sudo=True,
+)
+files.directory(
+    name="Kokoro models dir",
+    path=f"{COMPOSE_DIR}/kokoro/models",
+    group="docker",
+    mode="2775",
+    _sudo=True,
+)
+
 # --- Cleanup of artifacts from the prior native-build deploy ----------------
 # All idempotent — `present=False` is a no-op when the target is absent.