Turn recorded speech into text from supported audio files such as mp3, m4a, and wav. Detect the language automatically or specify it, and list available speech recognition providers and models before choosing one.
Audio expert. ALWAYS invoke this skill when the user asks to transcribe, recognize, or convert speech/audio to text.
Review the instructions the agent will receive before you install.
Use these tools to transcribe audio files to text using speech-to-text models.
Transcribe an audio file to text.
tai tool audio_transcribe --audio_path /path/to/meeting.m4a
tai tool audio_transcribe --audio_path /path/to/recording.wav --language en --provider llm.my-openai:whisper-1
| Parameter | Type | Required | Description |
|---|---|---|---|
| audio_path | string | yes | Audio file path. Supported: mp3, m4a, wav, webm, mp4, mpeg, mpga |
| language | string | no | ISO 639-1 language code (e.g. en, zh, ja). Auto-detected if omitted |
| provider | string | no | STT provider connector ID. If omitted, uses the default STT provider |
List available speech-to-text providers and models.
tai tool audio_providers
| Parameter | Type | Required | Description |
|---|---|---|---|
| capability | string | no | Filter by capability (default: audio) |
Returns a list of providers with their available models and connector IDs that can be passed to audio_transcribe.
Only use the parameters listed above for each tool. Do not pass unsupported parameters — they will be ignored or cause errors.
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