serverAppConfigs/serverAppConfigs-docs/Dankclaw/Frank TTS.md

type, description, tags, timestamp

type	description	tags	timestamp
reference	The fleet's cloned-voice speech endpoint and the one voice surface consumers address; wired as the harness speech role.	endpoint dankclaw tts voice quadlet	2026-10-19

Frank TTS

frank-tts is the fleet's only speech endpoint: an OpenAI-shaped POST /v1/audio/speech on Dankclaw :7772 that answers voice=<name> with audio in that cloned voice. Everything else in the voice stack sits behind it — the engine (Frank TTS Engine) publishes no port on purpose, and consumers never learn a path.

Deployed 2026-10-18 — ./scripts/deploy.sh dankclaw --service frank-tts both units active, no drop-ins, and the homepage card's wip gate came off in the same change. Probes on the deployed endpoint: /health answers {"status":"ok","backend":"omni-http","voices":["narrator1","narrator2","narrator3"]} and two different voices rendered the same sentence into different bytes (24 kHz mono PCM16, 4.24 s, healthy RMS) — so name resolution is real, not a pass-through of one default. The operator harness routes its speech role here; see #The harness speech role. What still waits is Open Notebook: its render needs the app installed, not this endpoint.

Host	Dankclaw (192.168.0.143), rootless podman, user unit frank-tts.service
Port	7772, published (PublishPort=7772:7772) — the rest of the frank-* port family is in Dankclaw Stack
Routes	GET /health, GET /v1/audio/voices, POST /v1/audio/speech; everything else 404, and speech is POST-only. The request's model field is ignored (measured 2026-10-19: voxcpm2 and tts-1 both synthesize the same way) — the voice comes solely from voice, so a consumer that must name a model may name it anything
Image	localhost/franksdank/frank-tts:latest, built from dankclaw/voiceservice/Containerfile, Pull=never
Networks	dankclaw_default first (it owns the default route and the consumers), then frank-tts-engine.network (10.89.5.0/24, the bridge to the engine)
Voice packs	/home/dank/voices mounted read-only at /voices — host state, never repo state
Upstream	http://frank-tts-engine:8880 (scripts/frank-tts.env, TTS_UPSTREAM)
Default voice	DEFAULT_VOICE (scripts/frank-tts.env) answers a request that names none; the journal marks that line (default), and an unknown name is still a 400
Rollback	TTS_BACKEND=llama-tts-cli runs a CLI binary per request and needs no upstream at all

Naming a voice

A voice is a directory name. voice=narrator1 resolves to /voices/narrator1/reference.wav, and that file — not a manifest, not a config entry — is what makes the name real. omp's TTS device may send voice_id; the shim accepts either. A call that sends neither — the harness's normal shape, because no harness setting carries a voice for this transport — speaks $DEFAULT_VOICE; empty default makes it a 400 again.

The usable shape is ^[a-z0-9][a-z0-9._-]*$: lowercase, starting with a letter or digit, then letters, digits, ., _, -, at most 64 characters. No slash, no .., no space, no uppercase. The lowercase requirement is where two rules meet: app.py would accept [A-Za-z0-9…], but tts-server lowercases names, so a pack called Narrator1 resolves through the façade and not through the engine. The boot warmer therefore refuses a mixed-case directory loudly instead of letting it half-work.

Names are user-visible: an unknown voice comes back as 400 unknown voice 'x'; available voices: …, and that list is the honest census. The podcast speakers are narrator1, narrator2, narrator3 — Open Notebook is configured with exactly those three, so renaming them breaks episode rendering, not just speech. A personal voice gets the person's name, lowercase.

Voice packs

One directory per voice under /home/dank/voices:

reference.wav    24 kHz mono PCM, 18-25 s of clean single-speaker audio
reference.spk    engine speaker embedding (8 192 B)
reference.rvq    reference codec codes (22 B per 12.5 Hz frame)
manifest.json    source file, offsets, engine, sha256

reference.wav is the engine-agnostic term the façade gates on; the other two are what makes a voice reusable by this engine, and they come from the pack builder (Voice Packs) — never by hand, never fabricated from the WAV. Two laws apply to the source material: offsets always start past the first 10 seconds of the sample, and packs are host state that stays out of this repo. Because the container runs as uid 10000, files must be world-readable (644/755), and the directory must exist before the first deploy: rootless podman auto-creates a missing bind source root-owned, which reads as "no voices" rather than as an error.

Adding a voice to a running stack is a two-step thing — drop the pack, then register and warm it with podman exec frank-tts-engine /app/warm-voices.sh — because registering alone does not warm it. The reason is the cold-voice law in Frank TTS Engine, and the procedure with its proof (the second request under a second) is the frank-tts-add-cloned-voice skill.

Why the upstream is a container name

scripts/frank-tts.env used to point at http://host.containers.internal:8880. That cannot work, and it is the trap this shape exists to avoid: a bridge container reaches the host's network namespace, netavark DNATs published ports only, and an engine on the host's loopback is published to nobody — the same shape that 502'd hermes (Container Network Namespaces). So both units attach to one committed Quadlet network and the façade dials the engine's container DNS name.

The consequence worth stating before an operator meets it: the engine is not reachable from the host at all — not over the LAN, not over loopback. Its health, voice registry and logs are observable only through podman exec frank-tts-engine … and systemctl --user status. And the façade's own /health answers 200 with the backend name and the voice list it resolved without dialing the engine, so "façade healthy, engine down" is a real state: it shows up as a failed synthesis, never as a down probe.

Where the engine computes

The gfx1151 iGPU, as a co-tenant beside frank-dragoon: the Vulkan build of qwentts.cpp with --device Vulkan0, and /dev/dri handed to the engine container. That is the shape since 2026-10-19. The flag, the device name, the render-node trap on this hybrid box and the one-line CPU rollback are owned by Frank TTS Engine — read that page before touching either tenant, because a change to one is a change to both. Co-tenancy was gated with frank-dragoon live on the card (its first token and decode rates unchanged with a synthesis in flight); both gate recipes are §5 of report/tts-npu-spike-verdict-2026-10-19.md.

The Strix Halo NPU is not a door at all: XDNA2 executes only precompiled AIE partition programs, and AMD's own Linux runtime opens /dev/accel/accel0, succeeds at the ioctls, then declines this model family's graph without emitting a single log line. The measured record and the model-side contract live in report/ at the repo root (tts-npu-spike-verdict-2026-10-19.md).

Files

Path	What
dankclaw/voiceservice/app.py	the shim: stdlib only — resolves the voice, forwards, re-encodes mp3
dankclaw/voiceservice/Containerfile	python 3.12-alpine pinned by digest + ffmpeg, uid 10000
dankclaw/voiceservice/quadlet/frank-tts.container	the unit: two networks, Restart=always, HealthCmd, [Install]
dankclaw/voiceservice/quadlet/frank-tts-engine.network	the shared bridge, named after the engine unit and attached by both
scripts/frank-tts.env	backend, upstream, port, limits, and the default voice — paths and numbers, no credentials
tests/frank_tts_unit.bats	the shim against stub engines over real sockets
tests/frank_tts_engine.bats	the pair's wiring: generator output, planner, homepage, deployer

Deploying it

./scripts/deploy.sh dankclaw --service frank-tts (or --service frank-tts-engine --service frank-tts for the pair): builds the façade image, installs both Quadlet units — including the engine's .network file, because a referenced Network= file the generator cannot find means the façade unit is not produced at all — creates /home/dank/voices as the deploy user, restarts the unit (whose Wants= and After= pull the engine and its warm pass ahead of it) and gates on podman's recorded health. It never runs systemctl --user enable; boot persistence is the [Install] section in each unit. Order matters in a full deploy: Frank TTS Engine is planned before this, and both before Open Notebook.

Not scraped, and why

shared/prometheus/ gets no frank-tts job, and that is a considered absence. The façade exports no /metrics — app.py serves /health plus the speech route only — and this Prometheus 3 install refuses non-metrics content types: Prometheus records that the existing HTML probes (comfyui, the two services targets) sit down with received unsupported Content-Type … and no fallback_scrape_protocol specified. A /health probe job would therefore be structurally never-green, and because LlmEndpointDown is scoped across the whole frank-* job family (the rule set lives on Prometheus), a permanently red frank-tts target would page on Signal every few minutes for an endpoint that is fine. The engine cannot be scraped at all: it publishes nothing. Status lives in systemctl --user status podman healthcheck run, the two unit journals, and the homepage card, which probes 127.0.0.1:7772 for real now — the wip: down gate came off with the 2026-10-18 deploy.

The harness speech role

The operator harness reaches this endpoint through ~/.omp/agent/models.yml — provider frank-tts (dankclaw) baseUrl: http://192.168.0.143:7772/v1, auth: none, and the runner api openai-speech on the model row (naming a runner api at provider level fails the whole file's validation and disables every custom provider, which is how the fleet's chat endpoints disappear) — plus config.yml modelRoles.speech: frank-tts (dankclaw)/frank-tts. Four laws, read out of the harness bundle and measured the day of the flip:

• The only voice the harness can send is the voice_id argument of the call. The transport builds {model, input, response_format, voice?} and adds voice only when the caller passed voice_id; no setting feeds it. tts.localVoice is the local Kokoro backend's voice (it is what answered voice=kokoro/bm_george, backend=local in the control test), and speech.voice is the TUI's speak-aloud voice — its enum is Kokoro's list, and it never reaches an HTTP request. So a harness call arrives voice-less by default, which is exactly why the endpoint grew DEFAULT_VOICE: the declared pack answers a voice-less request and the journal marks that line (default) while an unknown name still 400s with the list that exists.
• speech.voice must stay a Kokoro name. Setting it to a pack name does not select a pack; it hands the vocalizer a value outside its enum. (The first draft of this section said the opposite and was reverted the same day, after a fresh session's call came back unknown voice None.)
• There is no silent fallback. An explicitly configured modelRoles.speech yields exactly one candidate, so a dead 7772 fails the speech device with "No available speech model matches the speech role" instead of quietly degrading to Kokoro. That is the price of auth: none (which makes a dead endpoint read as available) and it is the wanted shape: a narration job should fail loudly rather than ship a voice Frank never asked for.
• A session older than the models.yml row cannot see it. models.yml loads at process start while config.yml is read live, so a long-lived session carrying the flipped role fails exactly like a dead endpoint while a fresh process succeeds in the same minute. Measured 2026-10-18: the open session failed twice (provider/id form, then the bare id), local/kokoro succeeded in that same session, and a fresh omp -p --tools tts returned Saved 180524 bytes (model=frank-tts (dankclaw)/frank-tts, voice=narrator1, codec=wav) while the façade logged the matching speech voice=narrator1 format=wav chars=51 -> 180524 bytes from the podman bridge. Rule the stale registry out before blaming the service.

Troubleshooting

Symptom	Cause
400 unknown voice 'x'; available voices: …	the name is not a pack: case, spelling, missing reference.wav, or an empty/root-owned /home/dank/voices
(none: no voice pack with a reference.wav in /voices)	the mount, not the voices: podman inspect frank-tts --format '{{json .Mounts}}', then the directory owner
Endpoint answers, synthesis fails	the engine: podman healthcheck run frank-tts-engine, then systemctl --user status frank-tts-engine.service
First request of the day is ~0.6 s slower than the rest — or every name returns 400	the warm pass did not run; it carries -, so it cannot fail the unit. journalctl --user -u frank-tts-engine for the warmer's lines, then podman exec frank-tts-engine /app/warm-voices.sh — the registry is memory-only (law 1 of Frank TTS Engine)
The unit never appears after a deploy	the generator dropped it: frank-tts-engine.network is missing from ~/.config/containers/systemd/
A consumer rejects narrator1 by listing 29 names (af_heart … bm_fable) and no request ever reaches this endpoint	that consumer is synthesizing in the browser with Kokoro.js, whose voice pack is fixed — OpenWebUI 0.11.4 ships it as the browser-kokoro TTS engine; see OpenWebUI

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