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Optional CLAP capability provider for muzaiten features

Project description

muzaiten-features-clap

muzaiten-features-clap is the optional CLAP capability provider used by the native muzaiten-features orchestrator. It is a small Python package by default; NumPy/PyTorch/torchvision and LAION-CLAP are confined to the model extra.

Install it in user space with a backend selected by uv:

uv tool install 'muzaiten-features-clap[model]' --torch-backend auto

The provider is not a human-facing command. One process handles one versioned JSON request on stdin and emits JSONL events on stdout. Supported operations are capabilities, status, model-download, scan, neighbors, and query. Diagnostics go to stderr. muzaiten-features owns provider discovery, orchestration, locking, progress presentation, and cancellation.

Model download is always explicit. scan and query never fetch weights; they return model_missing until muzaiten-features model download has installed and SHA-256-verified the checkpoint atomically. status reports the source, license, approximate size, cache path, checksum, device availability, and current presence without loading LAION-CLAP.

FEATURE_REVISION describes the input, preprocessing, and output semantics of the stored vectors. It deliberately does not follow package or protocol versions, so routine provider releases do not invalidate a large embedding corpus.

Tests use fake inference and fake downloads; they do not download model weights:

uv sync --group dev
uv run python -m pytest
uv run ruff check .

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