docs(frank-tts): the voice stack is deployed, and the harness speaks through it

Six statements still claimed the endpoint did not exist: both vault descriptions, the two index.md bullets, the Open Notebook blocker, and the engine page deploy order that opened with "Nothing below has been run". All re-keyed to the deployed state, with the ledger the deploys printed: engine healthy 31 s after the build at 4.0 GiB resident, three voices warm, the ladder measured at 1883 ms then 1226-1283 ms (not the retired 6.2-8.0 s), and two voices rendering the same sentence into different bytes. Adds a The harness speech role section to the endpoint page with the three wiring laws measured the day of the flip: speech.voice is the forwarded key (tts.localVoice belongs to Kokoro), an explicit speech role has no fallback candidate, and models.yml loads at process start while config.yml is read live - so a session older than the frank-tts row fails exactly like a dead endpoint. Fresh-process proof: omp -p --tools tts saved 180524 bytes with voice=narrator1 while the facade logged the matching speech line.
2026-10-18 19:11:41 -07:00
parent 5768680542
commit 7e391d4325
5 changed files with 96 additions and 21 deletions
@@ -59,7 +59,7 @@ podman exec open-notebook curl -sS http://frank-tts:7772/health
 podman exec open-notebook curl -sS http://host.containers.internal:7771/v1/models
 ```

-**The blocker to state plainly:** frank-tts is built, named and tested but **not deployed** — nothing answers on 7772 (`ss -ltn`, Dankclaw, 2026-10-18; [[Local TTS and Voice Cloning]] records the same census). open-notebook deployed today writes scripts and fails at the first voice line. frank-tts ships first, or podcast generation waits.
+**The blocker moved; it did not vanish.** frank-tts and frank-tts-engine are **deployed** (2026-10-18) and answer on 7772, so the voice leg works end to end — `podman exec open-notebook curl -sS http://frank-tts:7772/health` is the check to run the day the app exists. What still blocks a render is open-notebook itself: not installed on this host yet. When it is, the two provider rows above are the only wiring, and the seeded speaker profiles carrying OpenAI voice names are the first trap.

 **Why frank-zealot and not frank-dragoon:** podcast scriptwriting asks the model for a JSON-schema response (with a plain-JSON fallback). llama.cpp's OpenAI-compatible endpoint is a known-good target for that; frank-dragoon's halogen runtime has **unverified** structured-output behaviour, so it is the unproven alternative, not the fallback. `ESPERANTO_LLM_TIMEOUT=180` (the app's own default) covers an outline or transcript call on zealot comfortably; upstream's note is to keep it under 600 so a slow call fails with a clear error instead of a UI timeout.