dsh-client-ui-thinking-stats

dsh-thinking-token-stat

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A lightweight thinking/reasoning token statistics plugin for DeepSeek Harness (DSH). Displays whole-session thinking token totals and ratios right in the composer dock, with official frosted-glass detail popovers and turn-by-turn model breakdowns.

Features

1. Composer Dock Readout

Always visible in the status line below the message input box:

💭 37.2K · 70.7% · 4 / 6 turns

• Total Thinking Tokens: The cumulative count of reasoning tokens across the entire conversation.
• Thinking / Output Ratio: The proportion of thinking tokens relative to total reasoning output.
• Reasoning Turns: Active thinking turns out of total turns (displayed when non-thinking turns exist).

2. Session Overview Panel

Clicking the dock readout opens the overview panel, fully styled according to DSH official popover design and frosted-glass vibrancy:

• Thinking / Reasoning Output: Share of thinking tokens within reasoning-capable turns.
• Thinking / All Tokens: Share of thinking tokens out of total billed session tokens (input + output + cache).
• Turn Counts: Total turns vs. active reasoning turns.
• Estimate Transparency: When a model does not report token counts, the estimated turn count and token volume are clearly broken out with a ? explaining the formula.
• Scope Audit: Statically proves what the figures cover (empty turns, fork-excluded prefixes, etc.).

3. Turn-by-Turn Breakdown

Click "Detailed turn statistics" in the overview to open the per-turn table (newest turns first):

• Turn Number & Thinking Tokens: Per-turn count (estimated figures prefixed with ~ and highlighted in business accent).
• Turn Total Output: Total tokens written in that turn.
• Thinking Source: Indicates whether the count was provider-reported, text-estimated, or mixed.
• Model Attribution: Exact Provider and Model names (e.g. deepseek-official/deepseek-reasoner), tracking retries and model switches accurately.
• Output Share: Percentage of the turn's output spent on reasoning.
• Quick Filtering: Filter by Reported, Estimated, or None (collapsed by default).
• Jump to Reply: Jump button on each row pages DSH history and navigates straight to the message.

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Token Counting & Estimation

Not all model providers report reasoning tokens via API usage metadata. To ensure accurate and meaningful statistics in every environment, the plugin employs a transparent hybrid strategy:

Multi-Script Character Density Rules

Estimating tokens using a flat 4 characters/token English heuristic undercounts dense scripts by 2–4×. This plugin segments text by script family:

All estimated numbers are explicitly prefixed with ~ and never misrepresented as exact provider telemetry.

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Architecture & Performance

• Durable Session Projection:
  • Folded incrementally on the host Node process as an event-driven Reducer over assistant/message settlements.
  • Persisted as a session projection checkpoint (<root>/session_projcache/sessions/<id>.json), requiring only a few KB per session.
  • Covers the complete session event log, immune to client-side window paging, virtual scrolling, or compaction.
• Zero Frontend Overhead:
  • The browser half simply reads a single projection value via useProjection("thinkingStats"). No message parsing, no background API requests, and no localStorage caching.
• Native DSH Alignment:
  • Strictly adheres to DSH stat-dialog.module.css specs, incorporating var(--dsw-menu-backdrop-filter) (40px blur) and var(--dsw-radius-lg) corner radius.
  • Automatically adapts to Light and Dark themes.
  • Matches the client UI language automatically (Chinese & English).

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Installation

Method 1: DSH Plugin Market (Recommended)

Open the Market in DSH Desktop or Web GUI, search for dsh-thinking-token-stat, and click Install.

Method 2: Command Line

Run in your terminal:

dsh plugin add dsh-thinking-token-stat

Or install the latest development branch from GitHub:

dsh plugin add github:Six6stRINgs/dsh-thinking-token-stat

After installation, refresh your browser or desktop window (Ctrl+R). The indicator appears automatically once the model begins thinking.

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Development

The plugin consists of two self-contained modules:

• lib/index.js: Host half; registers the thinkingStats session projection and fold logic.
• lib/client.js: Client half; injects the readout, popover, and table into the composer dock slot.

Run tests:

npm test

(Executes test/projection.mjs for host fold semantics and test/harness.mjs for client UI rendering and degradation paths).

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License

MIT