dshbase

Plugin directory / Developer / dsh-bundle-vision

dsh-bundle-vision

Verified · install-tested on dsh skillre

✓ Actively maintained Builds on 7 official DSH packages

View on GitHub ↗ ← Back to plugin directory

0Stars
0Forks
0Open issues
—Language
2026-08-15Last push
Cross-platformPlatform

What it does

Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add'

✅
Our take
Works — verified, early-stage project

Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add' It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

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

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install dsh-bundle-vision for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

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

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

Security: not yet scanned — our daily static scan will cover it shortly.

Share this badge

More in Developer

Browse all 7819 plugins →