From 131d746c923be8bfb5c21d176d79c8d318e11651 Mon Sep 17 00:00:00 2001 From: Vuong Hoang Date: Mon, 27 Apr 2026 23:54:59 -0700 Subject: [PATCH] voxtral + kyutai-tts: fix wrong image tag / wrong endpoint paths; fish-s2: env-selectable model variant MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Three fixes from the second-wave deploy attempts: * voxtral: vllm/vllm-omni doesn't publish a `latest` tag — pull failed with "manifest unknown". Pinned VOXTRAL_VLLM_TAG to v0.18.0 (released 2026-03-29, the day after the Voxtral 4B TTS release — first cut with Voxtral support). * kyutai-tts: NillPointer wrapper exposes ONLY /health (root) and POST /v1/audio/speech. No /v1/models, no /v1/audio/voices — those return 404. Verified by /openapi.json against the live container. Compose healthcheck + playbook wait + verify steps all repointed at the actual paths. POST /v1/audio/speech is now smoke-tested with a RIFF WAV assertion (same pattern as fish-s2). * fish-s2: added FISH_S2_MODEL env var so the model variant is swappable via .env without rebuilding. Both s2-pro (default) and s1-mini are pre-pulled into the bind-mount; LLAMA_CHECKPOINT_PATH + DECODER_CHECKPOINT_PATH now use ${FISH_S2_MODEL:-s2-pro}. s1-mini was originally gated on fishaudio's HF org (401), but niobures/OpenAudio-S1 mirrors the same files openly — pulled from there via a one-shot snapshot_download. --- playbooks/deploy-kyutai-tts.yaml | 24 +++++++++++++++--------- stacks/fish-s2/.env.example | 9 +++++++++ stacks/fish-s2/compose.yaml | 7 +++++++ stacks/kyutai-tts/compose.yaml | 10 ++++++---- stacks/voxtral/.env.example | 8 +++++--- 5 files changed, 42 insertions(+), 16 deletions(-) diff --git a/playbooks/deploy-kyutai-tts.yaml b/playbooks/deploy-kyutai-tts.yaml index c66c79f..3b183f1 100644 --- a/playbooks/deploy-kyutai-tts.yaml +++ b/playbooks/deploy-kyutai-tts.yaml @@ -73,26 +73,32 @@ steps: - name: docker compose up -d shell: cd {{ compose_dir }} && docker compose up -d - - name: Wait for /v1/models to respond (allow ~10 min for first download + warmup) + - name: Wait for /health to respond (allow ~10 min for first download + warmup) shell: | for i in $(seq 1 120); do - curl -sf -o /dev/null --max-time 3 http://localhost:{{ host_port }}/v1/models && exit 0 + curl -sf -o /dev/null --max-time 3 http://localhost:{{ host_port }}/health && exit 0 sleep 5 done exit 1 changed_when: "false" verify: - - name: /v1/models returns valid JSON - shell: | - curl -sf http://localhost:{{ host_port }}/v1/models \ - | python3 -c "import json,sys; json.load(sys.stdin)" + - name: /health returns 200 + shell: curl -sf -o /dev/null http://localhost:{{ host_port }}/health changed_when: "false" - - name: /v1/audio/voices returns valid JSON + - name: /v1/audio/speech returns a real WAV (POST with text body) + # NillPointer wrapper exposes ONLY /health and POST /v1/audio/speech + # (no /v1/models, no /v1/audio/voices). Smoke by POSTing and + # asserting a RIFF WAV comes back. shell: | - curl -sf http://localhost:{{ host_port }}/v1/audio/voices \ - | python3 -c "import json,sys; json.load(sys.stdin)" + out=$(mktemp --suffix=.wav) + curl -sf -X POST http://localhost:{{ host_port }}/v1/audio/speech \ + -H 'Content-Type: application/json' \ + -d '{"model":"tts-1.6b-en_fr","input":"Verify."}' \ + -o "$out" --max-time 30 + file -b "$out" | grep -q '^RIFF.*WAVE' + rm -f "$out" changed_when: "false" - name: Container is running diff --git a/stacks/fish-s2/.env.example b/stacks/fish-s2/.env.example index dc7ee30..d6945c2 100644 --- a/stacks/fish-s2/.env.example +++ b/stacks/fish-s2/.env.example @@ -34,6 +34,15 @@ FISH_S2_GPU_DEVICES=1 # checkpoint. FISH_S2_COMPILE=1 +# Model variant. Both checkpoints are pre-pulled by the deploy +# playbook into /worktank/fish-s2/checkpoints/. Swap by editing this +# value + `docker compose up -d --force-recreate` (no rebuild needed). +# s2-pro — 4B-class, highest quality, ~7-8 s TTFB on a long phrase +# s1-mini — lighter, ~3-5× smaller model.pth, expected ~2-3 s TTFB +# fishaudio/s1-mini on HF is gated, but niobures/OpenAudio-S1 mirrors +# the same files openly — playbook pulls from there. +FISH_S2_MODEL=s2-pro + # ── persistent storage on the host ─────────────────────────────────── # Model checkpoints — Fish auto-downloads s2-pro on first run (~9 GB # at BF16) and caches under here. Persistent across container diff --git a/stacks/fish-s2/compose.yaml b/stacks/fish-s2/compose.yaml index 2cd8118..8543500 100644 --- a/stacks/fish-s2/compose.yaml +++ b/stacks/fish-s2/compose.yaml @@ -63,6 +63,13 @@ services: # checkpoint. - COMPILE=${FISH_S2_COMPILE:-1} - API_PORT=8080 + # Model selection. Override Fish's Dockerfile defaults so we can + # swap variants via .env without rebuilding. Both checkpoints are + # pre-pulled by the deploy playbook into bind-mounted checkpoints/. + # s2-pro — 4B class, ~17 GB VRAM, slow but highest quality + # s1-mini — lighter, ~3-5× smaller model.pth, much faster + - LLAMA_CHECKPOINT_PATH=checkpoints/${FISH_S2_MODEL:-s2-pro} + - DECODER_CHECKPOINT_PATH=checkpoints/${FISH_S2_MODEL:-s2-pro}/codec.pth # Hugging Face cache for model weights — first start pulls # fishaudio/s2-pro (~9 GB BF16) into this dir. - HF_HOME=/app/hf_cache diff --git a/stacks/kyutai-tts/compose.yaml b/stacks/kyutai-tts/compose.yaml index 69122d4..5228174 100644 --- a/stacks/kyutai-tts/compose.yaml +++ b/stacks/kyutai-tts/compose.yaml @@ -39,10 +39,12 @@ services: - ${KYUTAI_TTS_CACHE_DIR}:/app/hf_cache - ${KYUTAI_TTS_VOICES_DIR}:/app/voices:ro healthcheck: - # The wrapper exposes /v1/models for OpenAI-compat — same shape - # as Voxtral / Qwen3-TTS. Use that as the readiness signal. - # 127.0.0.1 explicit to dodge IPv4/IPv6 localhost race. - test: ["CMD-SHELL", "python3 -c \"import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://127.0.0.1:8000/v1/models', timeout=5).status==200 else 1)\""] + # NillPointer wrapper's actual endpoints (verified at runtime via + # /openapi.json): just /health (root) and /v1/audio/speech (POST). + # No /v1/models, no /v1/audio/voices — those 404. /health is the + # liveness signal. 127.0.0.1 explicit to dodge IPv4/IPv6 localhost + # race. + test: ["CMD-SHELL", "python3 -c \"import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=5).status==200 else 1)\""] interval: 30s timeout: 10s retries: 3 diff --git a/stacks/voxtral/.env.example b/stacks/voxtral/.env.example index 999084f..bef2e6f 100644 --- a/stacks/voxtral/.env.example +++ b/stacks/voxtral/.env.example @@ -3,9 +3,11 @@ # ── image pin ──────────────────────────────────────────────────────── # vLLM-Omni image tag (Mistral's partner serving stack for Voxtral). -# Use a specific version rather than `latest` — vLLM moves fast and -# Voxtral has version-specific compatibility. -VOXTRAL_VLLM_TAG=latest +# Pin a specific version — vllm/vllm-omni does NOT publish `latest`; +# `:latest` 404s with "manifest unknown". v0.18.0 was released +# 2026-03-29, one day after the Voxtral 4B TTS release, and is the +# first vLLM-Omni cut with Voxtral support. +VOXTRAL_VLLM_TAG=v0.18.0 # Voxtral model on Hugging Face. The 4B variant is the only released # checkpoint as of 2026-04. Default BF16 weights are ~8 GB.