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Vapor Local Voice — DSH Plugin for DeepSeek Harness
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@toddzheng024/vapor-voice-local

Vapor Local Voice

Optional macOS local reference-voice preparation for Vapor

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add @toddzheng024/vapor-voice-local@0.3.0
READMECompatibilityVersions

Compatibility and provenance

Vapor Local Voice is published as @toddzheng024/vapor-voice-local and currently resolves to version 0.3.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
0.1.5-rc.1
Runtime surfaces
any
Release source
npm
Registry updated
9/20/2026

Versions

0.3.0stable
9/11/2026

Related plugins

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Latest
0.3.0
DSH
0.1.5-rc.1
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
322.9 kB
Files
69
Surface
any
License
MIT
Source
npm
GitHub
★ 0
Weekly downloads
29
Last push
9/11/2026
View source ↗Project homepage ↗
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README

Vapor Local Voice (optional, macOS)

Prepare a 3–30 second reference from a registered audio/video revision. This package is separate from the cross-platform Studio Profile because its network-denied execution relies on macOS sandbox-exec.

Install the requirements into your own Python environment and set VAPOR_VOICE_PYTHON to its executable. FFmpeg is required. Prepare Demucs weights separately before use; processing denies network and will not download missing weights. The package contains processing code, never recordings, models, global voice profiles or credentials.

After processing, listen to all tracks, verify the transcript and record the source authorization in Lab. Saving the legacy reference Profile does not synthesize speech or establish voice quality.

The 0.3 tool catalog separately exposes voice.add, voice.list, voice.doctor, voice.speak and the user-approved voice.prepare-model download. These use the existing native profile format under the selected project's voices/ and locked weights under models/; they do not consume the legacy Lab reference-asset JSON. Choose VAPOR_TOOLS_PYTHON (or plugin config.python) with MLX-Audio installed for these operations. Model-dependent inference has not been accepted by full listening. See operations.