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/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