dsh-context

A Context insight panel for DeepSeek Harness (dsh): a plugin that adds a Context tab to the web UI — right beside Chat and Trajectory — so you can see what the model's context window is actually made of, and how it evolves across the conversation.

dsh-context screenshot

Why

Every model request packs the same window from six sources: the system prompt, tool schemas, your messages, injected context (skills, AGENTS.md, runtime snapshots), assistant replies, and tool results. When a conversation degrades or gets compacted, which part ate the budget is usually invisible. dsh-context makes it observable:

  • Current composition — a stacked bar of the six categories, scaled against the model's context window (the gray track is your remaining headroom), plus the top-5 most expensive tool schemas.
  • History — one stacked bar per model request (finer than per-turn), with Y-axis ticks and gridlines. Click any bar for its full breakdown, including the provider-reported prompt/output tokens next to the estimate. ✂ marks where compaction/pruning happened — watch the bars drop.
  • Context events — compactions, tool-output prunes, skill injections (Skill injected (code-review)), plugin context injections, model switches — each with its token delta and timestamp.
  • Messages — the currently model-visible surface, message by message, with per-message token costs.

The UI is bilingual (中文/English) and follows the dsh locale automatically.

Install

dsh-context ships as a dsh bundle: an npm package with a dsh.bundle manifest (a cordis.patch.yml layer that inserts the plugin row) and a dsh.client manifest (the web UI half). No build step, no restart — install it into any profile:

dsh plugin --profile <name> add dsh-context
dsh --profile <name> web

That's it: the dsh-context loader row activates the host half, and the web app picks up the package's ./client bundle and adds the 上下文 / Context tab to every session view.

To install from this checkout instead (for development), from the repo root:

dsh plugin --profile <name> add .

If dsh is run from a source checkout, prefix the commands with pnpm (pnpm dsh plugin ...).

Usage

Open any session and click 上下文 / Context (to the right of Chat and Trajectory). Data refreshes every 2 seconds while the tab is open; switching sessions switches the view to that session's log — including historical, persisted sessions.

  • Hover a history bar for a quick tooltip; click it to pin the breakdown below the chart.
  • The overview bar is scaled to the model's context window, so ~13% full means ~13% of the window is spoken for.
  • Numbers are estimates using the same fixed-density heuristic as dsh's built-in tokenMeter (~4 chars ≈ 1 token), so they match the harness's own stats. Wherever the provider reported real usage, it's shown alongside as "actual".

How it works

  • Data source: the session's durable event log. Live sessions are folded straight from the in-memory log (sessions.get(id).events — no clone, no disk parse); persisted sessions fall back to sessionQuery.readSession.
  • Transport: host ↔ browser over a generic Connection RPC channel (/dsh-context, ctx.connection.rpc — the same channel mechanism the api gateway uses). The host half registers a snapshot endpoint; the client half calls it via ctx.connection.rpc.call.
  • Incremental fold: per-session fold state lives in the Host half, so each poll only processes newly appended events — reopening the tab is instant.
  • Events decoded: request/header (system prompt + tool schemas), surface events with surfaceOp (append/replace — compaction rewrites history in place), compaction/summary|prune, assistant/message.usage (real provider tokens), and message source metadata (plugin forms, skill-invocation) for injection events.
  • Architecture: src/host.js is a plain ESM Cordis plugin (zero dependencies) loaded by the dsh-context loader row; src/client.js is the browser half, wrapped at build time into the web boot's closure-factory bundle (window.__ModuleLoader__.load). The client renders with bare React.createElement — theme-native via dsh CSS variables, bilingual via the client locale service.

Development

node scripts/build.mjs   # writes lib/index.js (host) + lib/client.js (client bundle)

build.mjs also smoke-checks the outputs (both halves must parse; the host half must import with the name/inject/apply plugin shape).

Publishing

scripts/publish.sh builds and publishes to npm as the authenticated user:

NPM_TOKEN=<your npmjs access token> ./scripts/publish.sh        # patch bump if the current version is already published
NPM_TOKEN=<token> ./scripts/publish.sh minor                    # explicit bump level

The token is read from the environment only and never written to disk. The script auto-bumps the version when the current one is already on the registry, so re-running it after a successful publish is a no-op.

Files

File Role
src/host.js Host half: incremental log fold, category accounting, /dsh-context snapshot RPC
src/client.js Client half: tab registration, bilingual chart UI
package.json dsh.bundle (patch layer) + dsh.client (web UI) manifests
cordis.patch.yml The bundle's patch layer: inserts the dsh-context row
scripts/build.mjs Zero-dependency build of lib/index.js + lib/client.js
scripts/publish.sh npm publish with NPM_TOKEN
docs/screenshot.png The UI in action

License

MIT

S
Description
The best DeepSeek Harness plugin for context insight and management, with context dashboard / browser / sidebar and context command, for context statistics, composition, breakdown, evolution details, agent teams, understanding how the context is made of, and how it evolves. 一站式 DeepSeek Harness 上下文可视化插件,Context 面板、浏览器、侧栏、命令,透视上下文组成、演进、压缩、多 Agent等。
https://www.npmjs.com/package/dsh-context
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