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dsh-bundle-vision
已验证 · 实测可装 skillre
功能简介
Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add'
可用 — 实测通过,早期项目
Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add' 实测能干净安装、正常启动。早期项目,但功能可用。
「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。
README
dsh-bundle-vision
A zero-core-change vision capability for DeepSeek Harness, shipped as one installable npm package that is both a profile bundle and a plugin:
- the plugin registers the model-facing
describe_imagetool; - the bundle patch mounts that plugin on any profile.
The tool reads a local PNG/JPEG/WebP/GIF file, commits the bytes through the shipped attachment service, and asks the named multimodal route about it in one direct LLM request (provider / model are tool arguments). The result is text only — no image block ever enters the calling session, so a text-only main model gains vision without any change to dsh itself.
How it works against the shipped seams
Everything the tool uses already ships with every dsh profile:
ctx.fs(bounded byte read, session-workspace resolution) — filesystem capability;ctx.attachments(saveImage, image limits, magic-byte validation) — durable image storage;ctx.llm(resolveModelInfo+stream) with the pi-ai multi-provider adapter — the multimodal request itself.
The one per-deployment prerequisite is the same as for any vision use of dsh: the multimodal model must declare image input in the llm-pi-ai settings section, e.g.:
llm-pi-ai:
providers:
my-vision:
apiKeyEnv: MY_VISION_API_KEY
api: openai-completions
baseURL: https://example.invalid/v1
models:
- id: my-vision-model
input: [text, image]
(On releases whose Models page has the input-modality control, the same declaration is one dropdown.)
Install (installed dsh, no source checkout)
From the npm registry:
dsh plugin --profile <name> add dsh-bundle-vision
Or from a packed tarball (e.g. before the first publish, or for a pinned version):
dsh plugin --profile <name> add ./dsh-bundle-vision-0.1.0.tgz
dsh plugin forwards to pnpm inside the profile directory and reconciles the profile's bundle layers automatically — a dependency declaring dsh.bundle joins the layer stack. Restart dsh <name>; the tool registers for every agent (profile-root registrations are visible to all preset scopes).
Use
Ask the main model, naming the route:
Use describe_image with file_path
/path/to/photo.jpg, providermy-vision, modelmy-vision-model, and prompt "OCR the text in this image".
The main model supplies provider/model per call — configure several multimodal routes and switch per call, no profile edits. Refusals name the failing gate (unknown extension, deployment media types, a route whose model does not declare image input, a missing file, a type-mismatched file, an errored stream).
Version floor
The package declares >=0.1.0-rc.6 peer dependencies on the dsh seam packages. Bump the floor if a later release is required.
Development
npm install # dev deps resolve the seam packages from the npm registry
npm run typecheck # tsc --noEmit over src + tests
npm test # vitest
npm run build # tsdown (lib/index.js) + tsc declarations (lib/types)
npm pack # the installable tarball
安装
装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:
dsh plugin add dshbase-catalog 然后对 agent 说「帮我装 dsh-bundle-vision」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。
该插件是 GitHub 源码(未发 npm)——直接从仓库装:
Web profile:
dsh plugin --profile web add github:skillre/dsh-bundle-vision Headless(CLI)profile:
dsh plugin --profile headless add github:skillre/dsh-bundle-vision 实测报告
验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。