Project root CLAUDE.md: architecture diagram now shows MacStudio voice-bridge (cache → F5 → safe wav), hints engine LLM rewrite via LiteLLM hints-deep (MLX 32B Q4), and MLX-LM inference tier. Infrastructure section adds MacStudio (live stack) and demotes Tower to legacy. tools/macstudio/README.md gets full stack table, aliases, persistence (crontab @reboot + */2 watchdog), resilience (cache, service_down.wav), pool pre-render command, known issues. Home ~/CLAUDE.md edits applied separately (six-node, MacStudio added, Tower line trimmed).
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MacStudio inference stack — config sources of truth
Deployment configs for the MacStudio M3 Ultra (ssh studio,
clems@MacStudio-de-MonsieurB.local, 512 GB) hosting MLX-LM, Ollama,
whisper.cpp, F5-TTS, and the LiteLLM proxy. Spec:
docs/superpowers/specs/2026-05-03-tts-stt-llm-macstudio-design.md.
Stack live (post-P1 part1-9)
Inference and voice stack runs entirely on studio. Tower no longer participates in the live Zacus runtime path.
| Service | Port | Backend | LiteLLM alias(es) | Monitoring |
|---|---|---|---|---|
| MLX-LM 7B Q4 | :8501 |
mlx_lm.server |
npc-fast (~12 tok/s warm) |
curl -s http://studio:8501/v1/models |
| MLX-LM 32B Q4 | :8500 |
mlx_lm.server |
hints-deep (~4.4 tok/s warm) |
curl -s http://studio:8500/v1/models |
| Ollama | :11434 |
ollama serve |
npc-ollama-7b, hints-ollama-72b (legacy A/B) |
curl -s http://studio:11434/api/tags |
| whisper.cpp | :8300 |
whisper-server (large-v3-turbo-q5_0) |
whisper-fr, stt-fr |
pgrep -fl whisper-server |
| F5-TTS-MLX | :8200 (in-process) |
voice-bridge /tts + /voice/{transcribe,intent,ws} |
tts-zacus-primary |
curl -s http://studio:8200/healthz |
| LiteLLM proxy | :4000 |
litellm |
(master_key sk-zacus-local-dev-do-not-share) |
curl -s http://studio:4000/health/readiness |
Files
| Local path | Remote path on studio | Purpose |
|---|---|---|
litellm-config.yaml |
~/litellm-config/config.yaml |
LiteLLM proxy (:4000) — 6+ model aliases (npc-fast, hints-deep, whisper-fr, stt-fr, tts-zacus-primary, npc-ollama-7b, hints-ollama-72b) |
voice-bridge/main.py |
~/voice-bridge/main.py |
FastAPI voice-bridge (:8200) — routes /voice/transcribe (whisper :8300), /voice/intent (LiteLLM npc-fast), /tts (F5-TTS-MLX in-process), /voice/ws |
voice-bridge/requirements.txt |
~/voice-bridge/requirements.txt |
FastAPI deps (fastapi, httpx, uvicorn, f5-tts-mlx) |
voice-bridge/watchdog.sh |
~/voice-bridge/watchdog.sh |
Watchdog: relance voice-bridge si pgrep absent |
Aliases LiteLLM
Model routing exposed via the proxy on :4000. Clients hit aliases (never raw
backends) so we can swap MLX ↔ Ollama without code changes.
| Alias | Backend | Use case |
|---|---|---|
npc-fast |
MLX-LM 7B Q4 (:8501) |
NPC dialogue, low-latency intent |
hints-deep |
MLX-LM 32B Q4 (:8500) |
Hint generation, longer reasoning |
npc-ollama-7b |
Ollama 7B (:11434) |
Legacy A/B comparator for npc-fast |
hints-ollama-72b |
Ollama 72B (:11434) |
Legacy A/B comparator for hints-deep |
whisper-fr / stt-fr |
whisper.cpp (:8300) |
French ASR |
tts-zacus-primary |
F5-TTS-MLX via voice-bridge (:8200) |
Zacus voice synthesis |
Persistence (headless macOS 26 — no launchd)
Studio runs headless; launchctl over SSH is broken. All daemons run via
nohup for current uptime + @reboot crontab for reboot persistence. Plus a
*/2 watchdog entry that relaunches voice-bridge on crash.
@reboot /opt/homebrew/bin/node_exporter >> /Users/clems/node_exporter.log 2>&1
@reboot /Users/clems/.local/bin/ollama serve >> /Users/clems/ollama.log 2>&1
@reboot /Users/clems/whisper-install/whisper.cpp/build/bin/whisper-server -m /Users/clems/whisper-install/whisper.cpp/models/ggml-large-v3-turbo-q5_0.bin --port 8300 -t 8 --host 127.0.0.1 -l fr >> /Users/clems/whisper-server.log 2>&1
@reboot /Users/clems/.local/bin/litellm --config /Users/clems/litellm-config/config.yaml --port 4000 --host 0.0.0.0 >> /Users/clems/litellm.log 2>&1
@reboot /Users/clems/.local/bin/mlx_lm.server --model <hints-32b-q4> --port 8500 >> /Users/clems/mlx-32b.log 2>&1
@reboot /Users/clems/.local/bin/mlx_lm.server --model <npc-7b-q4> --port 8501 >> /Users/clems/mlx-7b.log 2>&1
@reboot /Users/clems/voice-bridge/.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8200 >> /Users/clems/voice-bridge.log 2>&1
*/2 * * * * /Users/clems/voice-bridge/watchdog.sh >> /Users/clems/voice-bridge.watchdog.log 2>&1
Edit on studio with crontab -e.
Resilience
- Watchdog —
*/2 * * * * /Users/clems/voice-bridge/watchdog.shrelance voice-bridge sipgrep -f "uvicorn main:app"est vide (auto-recovery sous 2 minutes après un crash). - Cache TTS disque —
~/voice-bridge/cache/indexé parsha256(text + voice_ref + steps). Hit cache = retour WAV immédiat (pas de ré-synthèse). Purge :curl -X DELETE http://studio:8200/tts/cache - Graceful degradation —
service_down.wav(hardcoded fallback) servi par voice-bridge si F5-TTS lève une exception irrécupérable. Le runtime ESP32 reçoit toujours un WAV valide, jamais un 5xx silencieux.
Sync local → remote
After editing here, push to studio:
scp tools/macstudio/litellm-config.yaml studio:~/litellm-config/config.yaml
scp tools/macstudio/voice-bridge/main.py studio:~/voice-bridge/main.py
scp tools/macstudio/voice-bridge/requirements.txt studio:~/voice-bridge/requirements.txt
ssh studio 'pkill -HUP -f "litellm --config" || pgrep -fl litellm' # reload LiteLLM
Health checks
ssh studio 'curl -s http://localhost:11434/api/tags | jq .models[].name' # ollama models
ssh studio 'curl -s http://localhost:8500/v1/models' # mlx 32B (hints-deep)
ssh studio 'curl -s http://localhost:8501/v1/models' # mlx 7B (npc-fast)
ssh studio 'curl -s http://localhost:4000/health/readiness' # litellm
ssh studio 'curl -s http://localhost:8200/healthz' # voice-bridge
ssh studio 'curl -s -F "file=@/Users/clems/whisper-install/whisper.cpp/samples/jfk.wav" http://localhost:8300/inference' # whisper
ssh studio 'pgrep -fl ollama; pgrep -fl whisper-server; pgrep -fl litellm; pgrep -fl mlx_lm.server; pgrep -fl "uvicorn main:app"' # daemons
Pré-render NPC pool (F5-TTS)
Generate the full NPC phrase pool against the live voice-bridge (idempotent —
skips already-cached entries). Output: hotline_tts/f5/<key>.wav plus
hotline_tts/f5/manifest.json.
python3 tools/tts/generate_npc_pool.py \
--backend f5 \
--voice-bridge-url http://studio:8200
Cache key derivation must mirror voice-bridge/main.py::_voice_ref_token. See
tools/CLAUDE.md for backend semantics.
Known issues / TODO
stepsnon borné côté payload/tts— un client malicieux peut envoyersteps=999et saturer la GPU queue. Ajoutersteps: int = Field(ge=1, le=64)dans le schéma Pydantic de voice-bridge.- Default
--voice-bridge-url 192.168.0.150dans certains scripts — IP LAN studio à confirmer selon le réseau du client. En itinérance préférer le Tailscale100.116.92.12(ou alias DNSstudio). zacus_reference.wavà enregistrer (action humaine, prereq P2). Sans ce fichier, F5-TTS-MLX tombe sur le checkpoint multilingue de base — qualité acceptable mais pas de Zacus voice clone.
Anti-patterns
- Don't edit configs on studio directly; always edit here and
scp. Studio is the runtime; this directory is the source of truth. - Don't commit
master_keyrotated values — current value is dev-only.