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Bundle Vision — DSH Plugin for DeepSeek Harness
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dsh-bundle-vision

Bundle Vision

Vision bundle + plugin for DeepSeek Harness: the describe_image tool reads local images and asks any configured multimodal route, with zero core changes

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

npx -y @deepseek-ai/dsh plugin --profile web add dsh-bundle-vision@0.1.0
READMECompatibilityVersions

Compatibility and provenance

Bundle Vision is published as dsh-bundle-vision and currently resolves to version 0.1.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
npm
Registry updated
9/20/2026

Versions

0.1.0stable
8/15/2026

Related plugins

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Latest
0.1.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
18.5 kB
Files
7
Surface
any
License
MIT
Source
npm
GitHub
★ 0
Weekly downloads
45
Last push
8/15/2026
View source ↗Project homepage ↗
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Tool Describe Image@linxin666/dsh-tool-describe-imageModel-facing describe_image tool for the dsh web GUI: gives a text-only model image understanding by asking a vision-language model at an OpenAI-compatible endpoint to describe one image (local path, http(s) URL, or attachment reference). Hot-pluggable — Modlens@liustack/modlensPlug-in vision for text-only LLMs, powered by the free Antigravity CLIDeepseek Ivideodeepseek-ivideoiPolloWork HyperFrames Video Studio and 27 editable video templates as a native DeepSeek Harness conversation view.Imagegen@dickpy/dsh-imagegenAI image generation plugin for the dsh web GUI: text-to-image and image-to-image through configurable provider channels (gpt-image-2 / grok-imagine-image / nanobanana series / seedream-5.0-pro / dall-e-3, with native xAI Grok Imagine, Google Nano Banana a

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_image tool;
  • 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, provider my-vision, model my-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