Switch the default TTS engine from online Edge TTS to offline GPU
MeloTTS (privacy-first: reply text never leaves the host). Adds a
supervisord melo-worker program that runs in full/bot/brain roles and
synthesises Korean on the GPU (MELO_DEVICE=cuda, MELO_SPEED=1.5), a
baked /opt/melo py3.11 venv layer in the Dockerfile, and compose/env
defaults. Edge TTS stays available as an opt-in online fallback via
TTS_ENGINE=edge.
Verified on the RTX 5050 (Blackwell sm_120): melo-worker logs
"ready (lang=KR speed=1.5 device=cuda)", /health returns ok, and a
/synth round-trip returns a 177KB WAV.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Run the GPU-heavy compute (Whisper STT, Ollama LLM, TTS) on a dedicated
brain host and the bot + browser on a separate no-GPU app host, talking
over the LAN.
- supervisord: new `brain` role (bridge only) and `app` role (bot +
desktop/Chrome, no local bridge); `full`/`browser`/`bot` unchanged.
- compose: make BRIDGE_URL overridable (was hardcoded to loopback, which
prevented the bot from reaching a remote bridge).
- docs: DEPLOY.md "GPU split" layout with per-host .env blocks; document
the new roles in run-if-role.sh and .env.example.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
For the split where the LLM runs on a separate LAN host (e.g. a GPU box at
192.168.10.9) and the app stack runs elsewhere (192.168.10.5), the brain must
reach Ollama over the network. The javis service hardcoded
OLLAMA_BASE_URL=http://ollama:11434, ignoring any .env value, so the app could
only use the in-stack Ollama. Make it ${OLLAMA_BASE_URL:-http://ollama:11434}:
default unchanged (all-in-one), overridable to point at an external Ollama.
Document the external-Ollama setup in .env.example and DEPLOY.md, refresh the
browser-host IP examples (.9→.5), and de-hardcode the .9 example in novnc.ts.
Windows users following the docs hit "The system cannot find the file
specified" because COMPOSE_FILE's separator is OS-specific (':' collides
with the C: drive letter). Fix every Windows example to use ';', add an
explicit OS-separator warning in .env.example, README, DEPLOY.md and the
gpu-windows compose comment, and point users at the explicit `-f` form as
a separator-agnostic alternative.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Google now rejects personal Google accounts on the Gemini CLI OAuth login
("This client is no longer supported for Gemini Code Assist for individuals").
The setup docs previously sent every user down "Sign in with Google" with no
warning. Note the block, recommend GEMINI_AUTH=apikey for personal accounts,
and clarify that real-time search fail-opens to DDG/Brave/Wikipedia regardless.
Docs only; no runtime default change.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
OAuth cannot be done interactively in the headless container, so the login
must be seeded into the mounted ~/.gemini. Three problems are fixed:
- Mount fragility on the Windows Docker Desktop target: the creds mount
defaulted to ${HOME}/.config/javis/gemini, but ${HOME} is often unset when
compose runs outside a WSL shell, silently mounting the wrong dir. Default is
now the project-local ./docker/gemini-oauth (cross-platform), GEMINI_OAUTH_DIR
still overrides.
- No visibility: when oauth is selected but no login is seeded, the path
silently degraded to DDG/Brave. Added gemini_oauth_ready() + a one-time debug
hint and a startup entrypoint warning (skipped on the browser role, fail-open).
- Seeding guidance: oauth_creds.json is the essential credential (refresh token;
GOOGLE_GENAI_USE_GCA=true forces OAuth), which is what the readiness check and
warning verify; docs recommend copying the whole ~/.gemini for convenience.
Adds docker/gemini-oauth/ seed dir (.gitkeep) with the login files gitignored,
GEMINI_OAUTH_DIR in .env.example, and updates DEPLOY.md, stream_browser_modes.md
and llm_contexts.md. Covered by 3 new tests (10 passed total).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Base compose is GPU-agnostic; GPU is added by a per-OS override selected via
COMPOSE_FILE in .env (docker-compose.gpu-linux.yml for Ubuntu/CDI,
docker-compose.gpu-windows.yml for Windows 11 Docker Desktop). Adds .env.example
split-deployment section + docs/DEPLOY.md covering all-in-one and browser+bot
layouts on both OSes.
