Stream-restore mute: pw-play streams were being silently restored to
0% volume by PulseAudio's stream-restore module matching the music
role key, producing audible-but-clean-exit playback. audio.py now
bumps each new pw-play sink-input to 100% as a background task; the
new value re-stamps stream-restore on stream end.
Entry tone overlap: when speak() arrived during prior playback, its
entry tone played immediately from the handler and overlapped the
ongoing audio. queue.is_idle() now gates this — tone plays now when
idle (preserves latency-hiding intent), else defers to the consumer
via _WorkItem.entry_tone, which plays it right before the item's
audio. Chunked path defers only on chunk 0.
Docker: llama-server gated behind a `with-orpheus` compose profile;
mcspeak.depends_on uses required:false. `make up` defaults to
kokoro-only with no GPU dependency; `make up-with-orpheus` runs the
full stack. Rename dootie-internal network → mcspeak-internal
(auto-created per-stack via internal:true). Add 127.0.0.1:8371 port
mapping for local MCP clients.
README: fix claude mcp add command (was stdio, must be --transport
http); document kokoro-only default and the with-orpheus path; add
Kokoro model download step. .env.example added so `cp .env.example
.env` matches the documented setup.
Build llama.cpp from source with SM 120 CUDA kernels and FORCE_CUBLAS
for RTX 5070 Blackwell. Rewrite OrpheusEngine to stream tokens via SSE
and decode SNAC in overlapping 28-token batches (4 frames), replacing
the blocking requests+stream:false approach.
Performance: 13.5 → 170-213 tok/s. 100s audio generates in ~48s (2x
faster than realtime). Replaces requests with httpx async client.
Also switch MCP transport to stateless_http mode so container restarts
don't invalidate client sessions.
CPU-only torch image (~180MB vs 873MB CUDA), PipeWire socket
passthrough for audio playback, SNAC HuggingFace cache volume.
Served at voice.l.supported.systems via caddy-docker-proxy.
