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vapor-gpu-modal — DSH Plugin for DeepSeek Harness
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@toddzheng024/vapor-gpu-modal

vapor-gpu-modal

Vapor gpu modal tool operations

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

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

Description

gpu.execute

Compatibility and provenance

vapor-gpu-modal is published as @toddzheng024/vapor-gpu-modal 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
9/23/2026

Versions

0.3.0stable
9/11/2026
Latest
0.3.0
DSH
0.1.5-rc.1
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
306.6 kB
Files
67
Surface
any
License
MIT
Source
npm
GitHub
★ 0
Weekly downloads
17
Last push
9/11/2026
View source ↗Project homepage ↗
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README

@toddzheng024/vapor-gpu-modal

Install as a DSH bundle alongside @toddzheng024/vapor 0.3.0. Requires Node 24+, FFmpeg/FFprobe and a Python environment selected by VAPOR_TOOLS_PYTHON (or plugin config.python). Install requirements.txt into your own environment. No install hook downloads models or runs media.

In Vapor Lab, select a plugin tool, enter project-relative file paths, prepare, then execute. Agents use media_tools_list, media_tool_prepare, media_tool_run and media_tool_get. Remote work requires exact user approval in Lab; media_tool_resume only resumes the original job. Use the recovery panel for provider receipts and verified billing. The project uses one generation/ledger.json across plugins.

Tool inputs and outputs live in VAPOR_PROJECT_ROOT, not node_modules. Setup credentials in the process environment; plugins do not read .env files. Models and voice profiles stay in project models/ and voices/, and are never included in packages. Results retain pending visual/listening/playback review.

See tool operations for the executable interface.