dsh-constellation
Manifest validA live, self-organizing constellation map of your DeepSeek Harness plugin universe — AI-balanced taxonomy, bilingual labels, instant search, health diagnostics, and one-click plugin operations.
✦ dsh-constellation
A live, self-organizing constellation map of your DeepSeek Harness plugin universe.
DeepSeek Harness runs on the idea that everything is a plugin — but once your profile carries a hundred fibers, nothing tells you what your agent is actually made of. Which fiber is stuck pending? Who provides llm? What does dsh-session-title-first-prompt-llm even do?
Constellation answers all three: a floating ✦ button in the DSH Web UI opens a real-time map of every plugin and service fiber in your running profile — organized into balanced capability domains, labeled in plain language, searchable, and operable.

Features
🌌 Graph — your plugin universe, at three zoom levels
The map starts collapsed: one pill per capability domain, sized by member count, with aggregated dependency edges between domains.
- Click a domain to expand its member plugins in a radial layout around the pill, inside a dashed territory boundary — click again to collapse
- Big domains cluster first: domains beyond 12 members show service
clusters (
llm ×8) — click a cluster to see just those plugins - Hover or select a plugin to reveal its live dependency edges (providers → it → consumers) while the rest of the map dims — the on-demand "internal logic" of your composition
- Search anything: press
/and type a plugin name, service, keyword, or domain — results ranked, keyboard-navigable, and clicking one flies the camera to the node with a pulse highlight - Nodes are colored by fiber phase (active / pending / failed / disabled…); the legend doubles as a phase filter

✦ AI-native organization
Plugin ecosystems grow faster than any hand-written category list. When your profile has an LLM configured, Constellation puts it to work:
- AI taxonomy — the model proposes a balanced capability taxonomy
(no 34-member mega-domain, no singleton domains) with bilingual labels,
then assigns every plugin and writes it a short human label:
dsh-session-title-first-prompt-llmbecomes 标题生成 / Session title LLM - AI descriptions — plugins whose package ships no description get a one-line summary written by the profile's own model
- One-click re-run — the ✦ AI classify button re-organizes the map whenever your plugin set changes
Everything is cached under $DSH_HOME/storages/ — one classification pass
survives restarts. Profiles without an LLM simply fall back to the built-in
heuristic classifier; the graph never depends on model access.
🗂 Detail drawer — inspect and operate
Every plugin opens a side drawer with its label, description, phase, and provided/consumed services, plus live entry operations:
- Enable / Disable — flips the entry through the cordis-plugin-loader tree API and persists to the profile (no restart needed)
- Remove — stops the entry and removes it from the loader tree (confirmation required)

📋 Inventory — every entry at a glance
Cards grouped by capability domain: phase, label, description, and services. Click a card for the detail drawer.
🩺 Doctor — the plugin physician
Automatic diagnostics over the live snapshot (click a finding to inspect):
- ⏳ Stuck pending — a fiber waiting on a service no active plugin provides (names the missing service)
- ❌ Failed fibers — plugins that crashed on load
- 🧟 Zombie entries — enabled entries whose fiber is disposed
- ⚠️ Duplicate providers — two plugins providing the same service; only the last one wins
🌏 Bilingual UI
The whole interface speaks Chinese and English with a one-click switch — a natural fit for a harness whose plugin names are English but whose users often aren't.

Install
dsh plugin --profile web add dsh-constellation
Then start the Web UI (dsh --profile web) and click the ✦ button in the
bottom-right corner.
How it works
┌─ Browser ──────────────────────────────────────┐
│ client bundle (React, ~90 KB) │
│ body-portal panel · canvas constellation map │
│ polls GET /constellation/graph │
└───────────────────┬────────────────────────────┘
│ same-origin, loopback-fenced
┌───────────────────┴────────────────────────────┐
│ host half (Node) │
│ walks ctx.loader.entries() per request: │
│ fiber.inject keys → consumed services │
│ fiber.store keys → provided services │
│ fiber.state → phase │
│ optional llm sub-fiber: taxonomy + labels │
└────────────────────────────────────────────────┘
The graph projection reads the same runtime records the cordis context proxy consults — no kernel-internal APIs, so it survives minor version drift. Data never leaves localhost: routes reject non-loopback Host headers, and the LLM calls go through the profile's own configured model.
Requirements
- DeepSeek Harness
>= 0.1.0-rc.8with a Web composition (e.g. thewebprofile) - Node
>= 20 - (optional) a configured default model, for the AI taxonomy / labels / descriptions
Development
npm install
npm run build # tsc (types) + tsdown (lib/index.js + lib/client.js)
The client bundle follows the official DSH client-bundle preset: a CJS closure
factory registered through window.__ModuleLoader__, with React / react-dom
kept external against the shell's module table.
License
MIT
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