feat(dots-tts): ship OpenAI-compatible dots.tts TTS stack on irv-ml1:8198

Thin FastAPI wrapper over DotsTtsRuntime (soar, optimize=True, RTF ~0.22),
serialized single-consumer; OpenAI /v1/audio/speech (stream + non-stream),
voices from the voices/ corpus derived set. Live + healthy alongside
chatterbox-fast on the 3090; nothing repointed. Dockerfile needs
build-essential (torch.compile/inductor JITs via gcc at runtime) + persisted
inductor cache. Remaining Phase-2: ratatoskr client cutover.

persistent-memory.md

@@ -119,6 +119,8 @@ _As of 2026-08-08 — long session; all major arcs LANDED (full detail per arc i
 
 - **EVIDENCE HOLD (partial):** WT #394 index-row half LIFTED + swept (kb 8,230→2,876); the **FILE half STILL STANDS** — do NOT delete the on-disk generation dirs (`fiction/rex390-dcc`, `rex392-dcc`, `b59c147c5ce0`). Also un-actioned worldtree-side: the `reconcile --repair` rc=1 git-staging bug (phantom `docs/specs/saga-taxonomy-redesign-plan.md`) — flagged, their code.
 
+- **OPEN LOOPS (2026-08-10):** (1) **dots-tts ratatoskr cutover** — draft the ask to repoint ratatoskr's RP TTS to irv-ml1:8198 `/v1/audio/speech` (Phase-2 tail; dots container LIVE, see Recent decisions). (2) **LFM2.5-2.6b bake-off alias for brokkr-smithy-dev** — arch confirmed (Lfm2ForCausalLM, vLLM 0.24.0 on ana-ml2 supports it, no bump), replied w/ alias `lfm2.5-2.6b` + plan (non-prod, vendor sampling temp0.1/topk50/reppen1.1, reasoning-channel content-non-empty smoke, LFM Open License = eval-only pending operator ruling); **stand-up QUEUED** (thread `01KZNA4MKPDR…`, brokkr said no-rush).
+
 - **OPEN FOLLOW-UPS:** chatterbox-fast **deployed flat-build-context vs package-repo divergence** (reconcile so a repo rebuild matches deploy — repo commit `6bc7bf0` has cap+norm_loudness in package layout; deployed is flat cap-only). Standing/parked: CI-flip runner-auth research, gitea `REQUIRE_SIGNIN_VIEW=false`, #363 research-wing ingest (no deadline), zonos-gateway CI-wire.
 
 **althing monitor** ARMED (handle `infra-ops`, task `b1uat4njl`; herald up). ⚠️ Re-arm ONLY after a real FIRE (`<task-notification> completed rc0`), NEVER after a plain operator turn (bounces rc3); spawn `althing-wake-listener` as its OWN `run_in_background` task, **NEVER chained with `&`/`&&`** (orphans it to init — bit me this session; reclaim with `althing-cli stop-monitor` then re-arm cleanly).
@@ -128,7 +130,7 @@ _As of 2026-08-08 — long session; all major arcs LANDED (full detail per arc i
 
 ## Recent decisions
 
-- `[2026-08-09→10]` **dots.tts (rednote-hilab) TTS burn-in on irv-ml1 + canonical voice corpus built (`voices/`).** Operator-directed eval to potentially replace chatterbox-fast. **dots.tts VERIFIED real** (canonical HF ns `dots-studio/`, `rednote-hilab/dots.tts-*` redirects there; Apache-2.0; PyPI `dots.tts` 0.2.1; 2B continuous-AR = semantic enc + Qwen2.5-1.5B LLM + flow-matching acoustic head over 48kHz AudioVAE; zero-shot clone from wav+transcript). **Runs on Ampere 3090** (sm_86, bf16, no fp8 dep); **optimized RTF 0.22** at num_steps=10 (`from_pretrained(..., optimize=True)` CUDA graphs — raw unoptimized was 1.21), **~6GB VRAM**, 48kHz, streams (`generate_stream`). Venv+cache at `irv-ml1:/home/lkraven/dots-tts` (~10GB). **Operator design calls:** SGLang Omni serving (OpenAI `/v1/audio/speech`), transcribe-refs-first, `soar` variant. ⚠ Omni serves soar but its continuous-batching + streaming opts are **mf-only** (soar = single-request) — non-issue for ratatoskr's single-consumer RP surface. **KEY FINDING — dots is highly sensitive to an accurate AND sentence-bounded reference transcript:** mismatched transcript → 0.16s collapse; over-long/messy transcript → reference-audio BLEEDS as an output prefix; mid-clause trim → dangling-word leak (glados "we'll", emmie "And,"). RECIPE (baked into `voices/derive.py`): trim ref to a clean ~6–10s clip ending on a sentence boundary + accurate transcript of exactly that clip. **CANONICAL VOICE CORPUS** stood up in eshpfi `voices/` (operator idea): engine-agnostic `canonical/<v>.wav` + `transcripts/<v>.txt` → per-engine ref sets DERIVED by `derive.py` reading `engines.yaml` profiles (dots/chatterbox/zonos); canonical wavs git-tracked (small/curated), `derived/` gitignored. **4 voices optimized + verified CLEAN for dots: donut, glados, emmie, miranda** (glados canonical is low-SR 16kHz — flagged upgrade candidate). ⚠ GPU GOTCHA: irv-ml1 native CUDA orders **A6000=device0** (ComfyUI-full) — pin the 3090 with `CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=0`; and `PYTORCH_CUDA_ALLOC_CONF=expandable_segments` CONFLICTS with `optimize=True` CUDA graphs (curr_block error). Booths: `dots-vs-chatterbox`, `dots-voices-optimized`. **PENDING: operator A/B ear-verdict → Phase 2** (containerize SGLang Omni serving dots.tts-soar on the 3090 alongside chatterbox; ratatoskr client cutover to `/v1/audio/speech`); wrapper-vs-Omni serving-layer choice deferred to Phase 2. **OPEN operator call:** corpus home = eshpfi `voices/` (my rec) vs spin-out `vh/voice-corpus`. [[reference_chatterbox_fast_repo]] [[reference_zonos_tts_stack]] [[reference_verify_hf_repo_ids_before_pull]]
+- `[2026-08-09→10]` **dots.tts (rednote-hilab) TTS burn-in on irv-ml1 + canonical voice corpus built (`voices/`).** Operator-directed eval to potentially replace chatterbox-fast. **dots.tts VERIFIED real** (canonical HF ns `dots-studio/`, `rednote-hilab/dots.tts-*` redirects there; Apache-2.0; PyPI `dots.tts` 0.2.1; 2B continuous-AR = semantic enc + Qwen2.5-1.5B LLM + flow-matching acoustic head over 48kHz AudioVAE; zero-shot clone from wav+transcript). **Runs on Ampere 3090** (sm_86, bf16, no fp8 dep); **optimized RTF 0.22** at num_steps=10 (`from_pretrained(..., optimize=True)` CUDA graphs — raw unoptimized was 1.21), **~6GB VRAM**, 48kHz, streams (`generate_stream`). Venv+cache at `irv-ml1:/home/lkraven/dots-tts` (~10GB). **Operator design calls:** SGLang Omni serving (OpenAI `/v1/audio/speech`), transcribe-refs-first, `soar` variant. ⚠ Omni serves soar but its continuous-batching + streaming opts are **mf-only** (soar = single-request) — non-issue for ratatoskr's single-consumer RP surface. **KEY FINDING — dots is highly sensitive to an accurate AND sentence-bounded reference transcript:** mismatched transcript → 0.16s collapse; over-long/messy transcript → reference-audio BLEEDS as an output prefix; mid-clause trim → dangling-word leak (glados "we'll", emmie "And,"). RECIPE (baked into `voices/derive.py`): trim ref to a clean ~6–10s clip ending on a sentence boundary + accurate transcript of exactly that clip. **CANONICAL VOICE CORPUS** stood up in eshpfi `voices/` (operator idea): engine-agnostic `canonical/<v>.wav` + `transcripts/<v>.txt` → per-engine ref sets DERIVED by `derive.py` reading `engines.yaml` profiles (dots/chatterbox/zonos); canonical wavs git-tracked (small/curated), `derived/` gitignored. **4 voices optimized + verified CLEAN for dots: donut, glados, emmie, miranda** (glados canonical is low-SR 16kHz — flagged upgrade candidate). ⚠ GPU GOTCHA: irv-ml1 native CUDA orders **A6000=device0** (ComfyUI-full) — pin the 3090 with `CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=0`; and `PYTORCH_CUDA_ALLOC_CONF=expandable_segments` CONFLICTS with `optimize=True` CUDA graphs (curr_block error). Booths: `dots-vs-chatterbox`, `dots-voices-optimized`. **SHIPPED 2026-08-10:** operator A/B verdict "dots is very good" → containerized as a **thin FastAPI wrapper over DotsTtsRuntime** (chosen over SGLang Omni — Omni's batching is mf-only, unneeded for ratatoskr's single consumer; wrapper is SERIALIZED one-gen-at-a-time via a threading.Lock, Omni+mf = parked API-compatible escalation if multi-consumer ever lands). **LIVE on irv-ml1:8198** (`local/dots-tts:v1`, OpenAI `/v1/audio/speech` + `/health` + `/v1/voices`, container healthy, both stream + non-stream verified CLEAN, 4 voices donut/glados/emmie/miranda) alongside chatterbox :8197 (nothing repointed). Stack = `stacks/dots-tts/` (Dockerfile/app.py/compose/.env.example/README). ⚠ CONTAINER GOTCHA: `optimize=True` (torch.compile/inductor/triton) needs a **C compiler at RUNTIME** — slim image must `apt install build-essential` or model-load dies "Failed to find C compiler" (host venv had gcc ambient, masking it); persist `TORCHINDUCTOR_CACHE_DIR` to a mounted dir or every restart re-JITs ~5min. Corpus home = eshpfi `voices/` (operator ruled keep-here). **REMAINING: ratatoskr client cutover** to :8198 `/v1/audio/speech` (Phase-2 tail, peer-coupled — draft the ask). [[reference_chatterbox_fast_repo]] [[reference_zonos_tts_stack]] [[reference_verify_hf_repo_ids_before_pull]]
 
 - `[2026-08-08]` **worldtree-dev #400 CLOSED → fiction-decomp snapshot cleared from nh3-dev.** worldtree-dev signaled #400 done (shipped v1.0.0b185; exact-lexical efficacy 79%→12% on ratatoskr's gate, brokkr no-harm bracket green both ends; the snapshot served 4 probe rounds — rank decomposition, promoted-vs-gold annotation, tie-set falsification, A0/A1/A2 mechanism probe). Cleared `~/snapshots/worldtree-400-fiction-decomp` (208M: chroma + manifest/provenance/stamp) — a read-only rsync copy of PERSONAL Worldtree's Chroma (source on corviduo-dev, so safe to remove). **LEFT INTACT:** `rex393-fiction-index`/`rex393-fiction-snapshot` (separate operator KEEP word, unchanged) + `r42-gate-*`. No config deltas rode this train. Only remaining non-blocking await = ratatoskr-dev's chatterbox-fast knob revert. Replied confirming (`01KZJ9GMCC…`).