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command-center/agent/managed-skills/omp-models-yml-runner-api-placement/SKILL.md
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name, description
name description
omp-models-yml-runner-api-placement Add or edit a non-chat (tts/image/embedding) model row in ~/.omp/agent/models.yml, wire the speech role, and diagnose a failing speech device without blaming a healthy endpoint

Scope

~/.omp/agent/models.yml (or models.yaml) on a workstation: adding a runner model row (TTS / image / embedding / rerank / video) alongside chat providers, flipping config.yml modelRoles at it, and diagnosing a speech device that refuses to speak.

The landmine

Provider-level api accepts only chat/judge transports: openai-completions, openai-responses, openai-codex-responses, azure-openai-responses, anthropic-messages, bedrock-converse-stream, google-generative-ai, google-gemini-cli, google-vertex, openrouter-decisions, typesafe.

Naming a runner API (openai-speech, openai-images, openai-embeddings, …) at provider level fails whole-file validation, and the failure mode is not scoped to your provider:

Warning: models.yml validation failed — custom providers disabled
  Failed to load config file models, Schema error: providers.<id>.api: must be "openai-completions", …

Every custom provider disappears from the registry (fleet chat endpoints stop resolving) and omp models lists only built-in locals. Measured 2026-10-18.

Correct shape

Runner api goes on the model entry only; auth: none satisfies the credential requirement; omit contextWindow/maxTokens (the positivity check fires only when they are provided — omp models still prints filled defaults, which the runner transport never reads).

  "frank-tts (dankclaw)":
    baseUrl: http://192.168.0.143:7772/v1   # no `api:` here
    auth: none
    models:
      - id: frank-tts
        name: "frank-tts (dankclaw) — cloned voices"
        api: openai-speech                   # runner api on the model
        input: [text]

Roles live in config.yml (modelRoles), not in models.yml. Kind roles (image, web, speech, dictation, judge) take no :thinking suffix.

Verify after every edit (never assume the file loaded)

omp models --kind tts --no-extensions      # the new row must appear
omp models --no-extensions | grep -E '<each fleet chat model>'   # and still be listed
omp models | grep -c 'validation failed'   # must be 0

A run that lists only built-ins means your row broke the file — revert before yielding.

Speech transport contract (openai-speech)

Body is {model, input, response_format, voice?, speed?}; voice is forwarded only when the caller passed voice_id; sample_rate/bit_rate throw (openai-speech does not support sampleRate). Codec comes from the output_path suffix; 15 000-character cap. An unknown voice name is a server error, not a fallback — and auth: none makes a dead endpoint read as available, so point modelRoles.speech at such a provider only after it has answered a real synthesis.

Three speech-role laws (bundle-read + measured 2026-10-18)

  1. No setting carries a voice for openai-speech. The transport builds the body with voice from the call's voice_id and nothing else. tts.localVoice is the local Kokoro backend's key; speech.voice is the TUI's speak-aloud voice, an enum of Kokoro names that never reaches an HTTP request (setting it to a pack name breaks the vocalizer and does nothing for synthesis — read cfgSpeechVoice in dist/cli.js before believing otherwise). So a voice-less call is the harness's normal shape: a voice-required endpoint needs a server-side default (fleet answer: DEFAULT_VOICE in scripts/frank-tts.env, journal marks the line (default), unknown names still 400 with the list).
  2. An explicit role has no fallback candidate. modelRoles.speech set to one model yields exactly one candidate, so a dead endpoint or an unresolvable selector fails with "No available speech model matches the speech role" instead of degrading to Kokoro. Loud-by-design; do not "fix" it by adding a fallback in the client.
  3. models.yml loads at process start; config.yml is read live. A session older than the new row fails exactly like a dead endpoint while a fresh process succeeds in the same minute.

Diagnosing "speech device won't speak" — in this order

  1. curl the endpoint directly with a real voice name. 200 + audio ⇒ the service is fine and the fault is harness-side; stop touching the server.
  2. Control test in the same session: point modelRoles.speech at local/kokoro and call the device. It works ⇒ config.yml is live-read and the runner selector or its voice argument is the problem, not the endpoint. Revert the role immediately after.
  3. Distinguish stale registry from dead endpoint with a fresh process: omp -p --no-session --no-extensions --no-skills --no-rules --tools tts --cwd /tmp 'Call the tts tool exactly once with text="…" output_path=/tmp/x.wav voice_id=<name> — then reply with the tool result line.' Succeeds ⇒ the long-lived session predates the models.yml row; restart it.
  4. Cross-check server-side, never trust the client's echo: the façade/access log line and the engine's own ledger must carry the same byte count the tool printed. (model=… in a tool result is what the client requested; a server line is the fact.)
  5. For harness-behaviour claims, read the bundle rather than reasoning from the tool description: /home/blank/.bun/install/global/node_modules/@oh-my-pi/pi-coding-agent/dist/cli.js, e.g. grep -o -E '.{300}response_format:[a-zA-Z$]+.{250}' for the speech body builder, grep -o -E 'cfgSpeechVoice:.{0,400}' for what a settings key feeds.