TTS (Text-to-Speech)

This package handles speech synthesis for PicoClaw.

If you are new to TTS setup, the simplest workflow is:

1. Add a TTS-capable entry to model_list.
2. Point voice.tts_model_name at that entry.
3. Put the API key in .security.yml.

Quick Recommendation

For most users, these are the best starting points:

How TTS Configuration Works

PicoClaw does not keep TTS API keys inside voice.

Instead:

• voice.tts_model_name selects a named entry from model_list.
• That model_list entry provides the provider, model ID, API base, and proxy settings.
• For providers that need model-specific TTS parameters, use model_list[].extra_body to pass fields such as voice and response_format.
• .security.yml stores the API key for the same named model entry.

This is the recommended and supported configuration pattern.

Recommended Setup

Option A: OpenAI

config.json

{
  "voice": {
    "tts_model_name": "openai-tts"
  },
  "model_list": [
    {
      "model_name": "openai-tts",
      "model": "openai/tts-1"
    }
  ]
}

.security.yml

model_list:
  openai-tts:
    api_keys:
      - "sk-openai-your-key"

Option B: Xiaomi MiMo

config.json

{
  "voice": {
    "tts_model_name": "mimo-tts"
  },
  "model_list": [
    {
      "model_name": "mimo-tts",
      "model": "mimo/mimo-v2-tts"
    }
  ]
}

.security.yml

model_list:
  mimo-tts:
    api_keys:
      - "your-mimo-key"

If you use a custom MiMo endpoint, you can also set api_base explicitly. Otherwise PicoClaw will use the provider default.

Option C: OpenRouter MAI Voice 2

Some OpenAI-compatible TTS routes require provider-specific request fields. OpenRouter's microsoft/mai-voice-2 is one example: it needs a model-specific voice name and works best with response_format: "mp3".

config.json

{
  "voice": {
    "tts_model_name": "mai-voice-2"
  },
  "model_list": [
    {
      "model_name": "mai-voice-2",
      "provider": "openrouter",
      "model": "microsoft/mai-voice-2",
      "api_base": "https://openrouter.ai/api/v1",
      "extra_body": {
        "voice": "en-US-Harper:MAI-Voice-2",
        "response_format": "mp3"
      }
    }
  ]
}

.security.yml

model_list:
  mai-voice-2:
    api_keys:
      - "sk-or-your-openrouter-key"

What PicoClaw Sends Today

The current TTS runtime uses an OpenAI-compatible speech request with these defaults:

• Endpoint: /audio/speech
• Response format: opus
• Voice: alloy
• Model: taken from the selected model_list entry

These defaults can now be overridden per model through model_list[].extra_body.

That means:

• openai/tts-1 works naturally.
• Other OpenAI-compatible providers can work if they accept the same request format.
• Provider-specific TTS models may need their own voice and response_format values.
• If a provider rejects response_format, PicoClaw retries once without that field.

How PicoClaw Chooses a TTS Provider

DetectTTS resolves TTS in this order:

1. Preferred path: resolve voice.tts_model_name against model_list.
2. If a matching model entry exists and has an API key, PicoClaw creates an OpenAI-compatible TTS provider using that model's settings.
3. Fallback path: if voice.tts_model_name is not set or cannot be resolved, PicoClaw scans model_list for the first entry whose model string contains tts and has an API key.

Fallback scanning exists for compatibility. New configs should set voice.tts_model_name explicitly.

Notes About API Base Handling

PicoClaw normalizes the configured base URL for TTS:

• For OpenAI, a base like https://api.openai.com or https://api.openai.com/v1 becomes https://api.openai.com/v1/audio/speech.
• For other OpenAI-compatible providers, PicoClaw preserves the configured base path and ensures it ends with /audio/speech.
• If api_base is omitted, PicoClaw uses the provider default base when the model prefix is known.

Common Mistakes

• Setting voice.tts_model_name to a name that does not exist in model_list.
• Adding a TTS model but forgetting to put its API key in .security.yml.
• Assuming PicoClaw will automatically infer provider-specific custom voices.
• Forgetting to set model_list[].extra_body.voice or model_list[].extra_body.response_format for TTS models that require them.
• Using a provider endpoint that is not compatible with the OpenAI /audio/speech request format.

Minimal Checklist

Before testing send_tts, make sure:

• voice.tts_model_name matches a model_list[].model_name.
• The matching .security.yml entry contains a valid API key.
• The chosen provider supports an OpenAI-compatible speech synthesis endpoint.
• Your selected model is actually a TTS-capable model.