dsh-plugin-verified-search
f0909172434
Verified current-source search workflow for DeepSeek Harness
PROJECT TOPICS
PROJECT README
Give your text-only model eyes: forward user images to any OpenAI-compatible vision model and see the results in a Web UI right panel.
A plugin for DeepSeek Harness.
vision_describe tool — the model can answer a later follow-up question when the automatic description lacks the requested detail.
image in composer or tool result → wrapper finds it at any content depth → visible message keeps the image
→ adapter stream → readImage → vision API → "[视觉描述] …" in the private model request only
→ text-only model answers → /vision-bridge/recent → panel thumbnail + description (2s poll)
Unconfigured or failed calls degrade to a [视觉描述失败] <reason> placeholder, so the conversation never breaks.
dsh plugin --profile web add dsh-visual-plugin # or: github:jyh20030112/dsh-visual-plugin
When developing this checkout against a local DeepSeek Harness source tree, install the local package instead:
cd /absolute/path/to/dsh-visual-plugin
npm run bootstrap
dsh plugin --profile web add link:/absolute/path/to/dsh-visual-plugin
bootstrap automatically finds a sibling or ancestor-adjacent Harness checkout.
For another layout, set its location explicitly:
HARNESS=/absolute/path/to/deepseek-harness npm run bootstrap
Restart dsh web, then:
Open Settings → Plugins → Plugin configuration and expand the Vision Bridge card:
Fill in the endpoint URL, the vision model name, and the API key. The 侧边栏 / Sidebar toggle shows or hides the image-history panel; the history limit defaults to 20, and leaving it empty means unlimited. Click 保存 / Save, then 测试连接 / Test connection.
In the model picker, select provider DeepSeek (Vision) — the plugin's wrapper adapter declares image input so the gateway admits uploads.
Send an image (optionally with a question). The model answers from the generated description, and the image-history panel shows the thumbnail + description within ~2s.
This project is developed and tested with a locally deployed
Empero AI Qwythos-9B
as the vision backend. Its SGLang deployment can expose an OpenAI-compatible
/v1 endpoint; enter the endpoint URL and the server's registered model name
(for example, Qwythos) in the Vision Bridge panel. The plugin is not tied to
Qwythos-9B and can use any compatible vision model.
dsh plugin --profile web remove dsh-visual-plugin
Restart dsh web. The command forwards to pnpm remove inside the profile, and the bundle layer list reconciles to drop the plugin automatically.
src/
index.ts host plugin: vision orchestration + vision_describe + HTTP routes
vision.ts OpenAI-compatible vision calls (describe / test / balance)
model-messages.ts model-bound image rewrite + per-attachment cache
description-policy.ts intent-first prompt + low-information retry
config.ts settings namespace `vision-bridge` + schema
adapter.ts deepseek-vision wrapper adapter (admission + private rewrite boundary)
client/ browser half: panel / sidebar toggle / automatic + tool cards / locales / css
cordis.patch.yml bundle patch layer
npm run bootstrap && npm run typecheck && npm run build # needs a local harness checkout
Prebuilt lib/ is committed, so consumers never build.
ci.yml verifies artifacts and the pack contents on every push/PR. release.yml (tag v*) checks the version, packs, creates a GitHub Release, and publishes to npm.
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