feat(omnivoice): wire to asset-engine via FastAPI wrapper + reuse chatterbox voices

- app.py: thin FastAPI wrapper exposing OpenAI /v1/audio/speech (+ /v1/audio/voices,
  /healthz) around OmniVoice's Python API; precomputes a voice-clone prompt per voice
  at startup (loaded Whisper auto-transcribes each reference). Replaces the Gradio demo.
- Dockerfile/compose: run the uvicorn wrapper, /healthz healthcheck, project name pinned
  to "omnivoice" so the asset-engine liveness probe matches.
- deploy-omnivoice.yaml: stage chatterbox /refs/*.wav as clone voices (skip _* artifacts)
  + verify the API surface.
- services.yaml: catalog entry (id omnivoice, :8199/v1/audio/speech, voice list sourced
  live from /v1/audio/voices) + reproducibility_audit row.

Verified live on irv-ml1: /healthz ok, 33 voices loaded, test synth -> 24kHz PCM_16 WAV.

docs/asset-engine/services.yaml

@@ -565,6 +565,66 @@ services:
       Three-way mutual-exclusion among emotion_voice / emotion_vector / emotion_text;
       precedence as above. UI should expose this as a single picker.
 
+  - id: omnivoice
+    name: OmniVoice
+    description: >
+      k2-fsa zero-shot, massively-multilingual (600+ language) voice-cloning TTS
+      (diffusion-LM, RTF ~0.025). Apache-2.0. Behind our own FastAPI wrapper
+      (stacks/omnivoice/app.py); voices are the reused chatterbox reference clips.
+    category: tts
+    version: 1
+    status: ready
+    host: irv-ml1
+    lifecycle:
+      stack: omnivoice
+      vram_gb: 6
+      gpu_device_id: 0
+    endpoint: http://10.100.79.3:8199/v1/audio/speech
+    method: POST
+    content_type: application/json
+    model:
+      id: k2-fsa/OmniVoice
+      revision: null
+      image: local/omnivoice:latest
+    fields:
+      - name: input
+        type: textarea
+        label: Text
+        required: true
+        max_length: 5000
+      - name: voice
+        type: select
+        label: Speaker Voice
+        source_url: http://10.100.79.3:8199/v1/audio/voices
+        source_jsonpath: $.voices[*]
+        description: >
+          Zero-shot clone target — a reference clip staged in
+          /worktank/omnivoice/voices/ (reused chatterbox voices; 33 at deploy).
+          Live list at /v1/audio/voices.
+      - name: response_format
+        type: select
+        options: [wav]
+        default: wav
+        description: 24000 Hz PCM_16 mono only; no negotiation.
+    response:
+      type: audio
+      mime: audio/wav
+    reproducibility:
+      seedable: false
+      deterministic: false
+      notes: >
+        Diffusion-LM, temperature/denoise sampled — not byte-exact, no seed exposed.
+        Output 24000 Hz PCM_16 mono. Voice = a cloned reference clip (clone prompt
+        precomputed per voice at startup; Whisper auto-transcribes the reference).
+    estimated_latency:
+      cold_start_s: 600
+      warm_per_unit: "full-utterance (no streaming)"
+    license: "Apache-2.0"
+    notes: |
+      v1 is clone-only (voice = a staged reference clip); OmniVoice's voice-DESIGN
+      and language/instruct controls are not yet exposed in the wrapper. No streaming.
+      Voices reused from chatterbox /refs (staged into /worktank/omnivoice/voices/).
+
   - id: qwen3-tts
     name: Qwen3-TTS 1.7B
     description: >
@@ -2207,6 +2267,11 @@ reproducibility_audit:
     model_deterministic: true
     image_tag_mutable: false
     notes: "22050 Hz hardcoded — caller must resample."
+  - service: omnivoice
+    seedable: false
+    model_deterministic: false
+    image_tag_mutable: true
+    notes: "Diffusion-LM, temperature/denoise sampled — not byte-exact, no seed exposed. 24000 Hz PCM_16 mono. image local/omnivoice:latest is mutable — pin a digest for true repro. Voices = reused chatterbox /refs clones (clone prompt precomputed per voice at startup)."
   - service: qwen3-tts
     seedable: false
     model_deterministic: true