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dsh-tool-see-image
gugu123a/dsh-tool-see-image
Fournit l'outil see_image pour DSH : envoie un fichier image à un modèle de vision compatible OpenAI configurable et relaie sa description à un modèle texte uniquement.
Installer
dsh plugin --profile web add github:gugu123a/dsh-tool-see-imageREADME
👁️ dsh-tool-see-image
Give your text-only model eyes.
see_image routes an image to a configurable vision model (default: Zhipu GLM-4V-Flash, free) and relays its description back to your DeepSeek Harness session.
🎖️ Featured in the community awesome-deepseek-harness-plugins list.
✨ Why
DSH's default text-only model (e.g. deepseek-v4-flash) can't see images. This plugin gives it eyes via a small, free vision model — no local GPU, no image-editing, no changes to your model.
🚀 Features
see_imagetool — pass any image path + a question; get a text description back.- Vision-model-agnostic — any OpenAI-compatible
/chat/completionsendpoint (Zhipu GLM-4V-Flash by default, or SiliconFlow / Qwen2.5-VL, …). - Sandbox-aware — reads through
ctx.fs, respecting DSH's sandbox / observation policy. - Bonus paste-to-text — a patch script that lets you paste an image straight into the chat and auto-convert it to text.
📚 Contents
- How it works
- Install (DSH web profile)
- Configuration
- Uninstall / rollback
- Implementation notes
- Regression test
- Field notes
- Paste-to-text relay (bonus)
- License
🔍 How it works
You: "Look at this image" ──► Text-only model (no vision)
│ calls see_image(path, question)
▼
This plugin (Host plane)
│ 1. ctx.fs resolves & reads the image (sandbox/observation policy aware)
│ 2. encodes it as a base64 data URL
│ 3. POST {baseURL}/chat/completions (OpenAI-compatible)
▼
Vision model (GLM-4V-Flash)
│ text description
▼
Text-only model ──► reports to you
📦 Install (DSH web profile)
-
Copy the plugin into your profile directory, e.g.
$DSH_HOME/profiles/web/plugins/dsh-tool-see-image/($DSH_HOMEis usually~/.dsh). -
Declare the dependency in
$DSH_HOME/profiles/web/package.json:"dsh-tool-see-image": "file:plugins/dsh-tool-see-image"Then run
pnpm install(creates a junction to the source underprofiles/node_modules). -
Compose it into the profile in
$DSH_HOME/profiles/web/cordis.patch.yml:- insert: - id: tool-see-image name: 'dsh-tool-see-image' config: baseURL: https://open.bigmodel.cn/api/paas/v4 apiKeyEnv: ZHIPU_API_KEY model: glm-4v-flash -
Set your API key: create one at the Zhipu (bigmodel) console (format
id.secret), then set the environment variable (Windows example):setx ZHIPU_API_KEY "your-key"Restart your terminal, then restart
dsh web(the web profile does not hot-reload patch layers yet — tested). -
Verify: in a new session the
see_imagetool should appear. Try it:Use see_image to look at path/to/your/image.png
⚙️ Configuration (tool-see-image line in cordis.patch.yml)
| Key | Default | Description |
|---|---|---|
baseURL | https://open.bigmodel.cn/api/paas/v4 | OpenAI-compatible endpoint; the plugin appends /chat/completions |
apiKeyEnv | ZHIPU_API_KEY | Env var name that holds the API key |
model | glm-4v-flash | Vision model id (free on Zhipu) |
maxTokens | 1024 | Max output tokens. Note: glm-4v-flash caps at 1024 (higher returns 400 max_tokens参数非法; raise it if you switch to a bigger model) |
timeoutMs | 60000 | Request timeout |
maxBytes | 15728640 (15MB) | Per-image size limit |
prompt | (Chinese detailed-description instruction) | Default question; the question argument takes precedence |
To use a different vision API, change these three keys, e.g. SiliconFlow:
config:
baseURL: https://api.siliconflow.cn/v1
apiKeyEnv: SILICONFLOW_API_KEY
model: Qwen/Qwen2.5-VL-32B-Instruct
🗑️ Uninstall / rollback
- Remove the
- insert: ... tool-see-image ...block fromcordis.patch.yml; - Remove the junction:
Remove-Item profiles\node_modules\dsh-tool-see-image; - Remove that line from
profiles/web/package.jsondependencies; - Restart
dsh web.
🧠 Implementation notes (for plugin developers)
- Exports
{ name, inject, Config, apply }, same shape as every DSH tool plugin; inject: ["tools", "fs"]— the tool registry and the sandboxed file service are both Host-global services;- Registered at the global layer, so every session sees it (same as TUI-mode host tool rows);
- Reads files through
ctx.fs(sandbox/observation policy applied), never rawnode:fs; - Parameter schema uses the DSH-specific format:
required: truefor required, omit therequiredkey for optional (required: falseis rejected bydefineTool); - Network request carries a timeout and
exec.signalcancellation; errors are model-readable.
🧪 Regression test
test/mount-test.mjs mounts this plugin line under a real Cordis Loader
(timer + system-prompt + tools + this plugin) and asserts that see_image
lands in the tool registry. Run:
$env:DSH_CHECKOUT="<your dsh install root, containing node_modules/@deepseek-ai>"
node test/mount-test.mjs
Expected output: tools.schemas() 含 see_image: true and === MOUNT TEST PASS ===.
The script temporarily links the plugin into the checkout's node_modules
(Windows junction / other-platform symlink) and cleans up afterwards — no
hardcoded local paths.
📝 Field notes
- 2026-08-13: real key +
triz-workflow.png(a DSH Web GUI screenshot) → HTTP 200 in ~6.8s, correctly read the UI text (search box / MCP settings / Fetch / Filesystem / Sequential-Thinking). - Pitfall: glm-4v-flash's
max_tokenscap is 1024 (the default of 2048 caused a 400; the default has been fixed).
📋 Paste-to-text relay (bonus)
Beyond the see_image tool (which reads an image by path), this repo ships a
patch script that lets you paste images straight into the chat box and
have them auto-converted to text:
$env:DSH_CHECKOUT="<your dsh install root, containing node_modules/@deepseek-ai>"
node scripts/patch-dsh-image-relay.mjs # apply (idempotent, auto-backup)
node scripts/patch-dsh-image-relay.mjs --check # status
node scripts/patch-dsh-image-relay.mjs --revert # rollback
pm2 restart dsh-web # then hard-refresh the browser
It patches three DSH packages (host-apiproxy, llm-deepseek, client-ui) so that:
- the UI shows the pasted image (the hidden text block is filtered out);
- DeepSeek receives a
【图片:...】description from GLM-4V-Flash instead of raw pixels; - repeated images hit a local cache (
~/.dsh/cache/image-relay/), and failures degrade gracefully within 8s.
Requires ZHIPU_API_KEY. The image cache itself is portable and stays under
~/.dsh/cache/image-relay/; only the DSH checkout must be supplied explicitly.
Re-run the script after any npx dsh upgrade —
the patch is lost when the npm cache is refreshed.
📄 License
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