Schema | vibevoice-asr

vibevoice-asr

Describes the environment variables required to run the server.

Name	Required	Description	Default
`VIBEVOICE_DTYPE`	No	Data type: auto, bfloat16, float32	auto
`VIBEVOICE_DEVICE`	No	Device: auto, cuda, mps, cpu	auto
`VIBEVOICE_MODEL_ID`	No	HuggingFace model ID	microsoft/VibeVoice-ASR-HF
`VIBEVOICE_CACHE_DIR`	No	Where to store downloaded model weights (default: HuggingFace default)
`VIBEVOICE_LOG_LEVEL`	No	Logging level	warning

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
transcribe_audioA	Transcribe an audio file using VibeVoice-ASR. Args: file_path: Absolute path to the audio file (wav, mp3, flac, etc.) response_format: Output format: text, json, verbose_json, srt, vtt (default: text) prompt: Optional prompt/context to guide transcription language: Language code for verbose_json output (default: en)
load_vibevoice_modelA	Pre-load the VibeVoice-ASR model into memory. Call this before transcribing to avoid a long wait on the first transcription. Model loading takes ~60-90 seconds depending on hardware.
get_vibevoice_statusA	Check the current status of the VibeVoice-ASR server. Returns model loaded state, device, dtype, and version info.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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