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dsh-tool-call-stats 專案預覽
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dsh-tool-call-stats

生態與開發JavaScript

程序內工具呼叫統計:提供 `tool_stats` 工具,按工具彙報呼叫次數、失敗次數與平均耗時。

0 Starsdisyli 更新時間 2026-08-16
訪問 GitHub 倉庫
dsh-tool-call-stats 專案預覽

專案介紹

中文

程序內工具呼叫統計:提供 `tool_stats` 工具,按工具彙報呼叫次數、失敗次數與平均耗時。

English

Per-process tool-call statistics: a `tool_stats` tool reporting per-tool call counts, error counts, and average durations.

專案資訊與收錄訊號

快照 2026-09-11
作者 / 組織
disyli
倉庫
disyli/dsh-tool-call-stats
GitHub Stars
0
Forks
0
開發語言
JavaScript
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未記錄
最近推送
2026-08-16
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資料評分

36/ 100
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專案宣告訊號
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README 含完整安裝與使用說明。

評分來自已有資料快照的五維模型,僅作瀏覽參考,不是實際使用評測或安全檢測結論。

安裝與使用

所有專案資料與許可均以對應 GitHub 倉庫為準。

dsh plugin --profile web add github:disyli/dsh-tool-call-stats

複製命令不會自動執行。請先閱讀倉庫文件,確認環境要求與許可證。

專案截圖

倉庫 README

GitHub 原文

已儲存的倉庫文件快照;文件抓取時間未記錄,可能與上方目錄介紹處於不同版本。安裝前請核對當前倉庫說明。

儲存庫檔案保留原文,指令與授權文字不作自動改寫。

dsh-tool-call-stats

awesome · DSH plugin

A tiny community plugin for DeepSeek Harness (dsh).

It records every committed tool call in the current harness process and exposes a tool_stats tool, so the model (or you) can ask at any point:

Which tools were used, how often did they fail, and where did the time go?

Not to be confused with the token/cost trackers in the ecosystem (dsh-token-stats, dsh-usage-report, ...) — this plugin counts tool-call dispatches, not tokens. Also unrelated to dsh-tool-stat (a descriptive-statistics math tool).

Status: built and verified end-to-end against the dsh v0.1 developer preview (headless profile, live DeepSeek session): both event listeners record real dispatches and tool_stats returns the table below. Upstream interfaces may still change during the preview.

Example output (from the verification run):

tool  calls  errors  avg_ms
----  -----  ------  ------
bash  1      0       23
read  1      0       8

How it works

Everything in dsh is a plugin, and this one is deliberately minimal — three seams, ~100 lines, no build step:

  • tools/execute (waterfall): wraps each dispatch to record its start time, then delegates via next().
  • tools/result (observer): counts each committed result per tool name and accumulates duration; result.isError drives the error counter.
  • ctx.tools.register(defineTool(...)): exposes tool_stats, which returns a canonical JSON array (output.schema) and renders a plain-text table for the model.

All state is in-memory and process-local. Nothing is persisted; restarting dsh resets the counters. When the plugin is unloaded, Cordis disposes both listeners and the tool automatically — no manual cleanup code.

Install

Into a profile (recommended)

dsh plugin --profile <name> add github:disyli/dsh-tool-call-stats

pnpm ≥ 10 will ask you to allow the package before running install scripts (this package has none, but the prompt may still gate the git install). Follow the hint dsh prints, then re-run add.

Verify the layer and start:

dsh --profile <name> --dump-config   # shows a "# == dsh-tool-call-stats" layer
dsh --profile <name>

As a local overlay (source checkout)

From a deepseek-harness checkout, point a patch at the local file:

# stats.cordis.yml
- insert:
    - id: tool-stats
      name: '/absolute/path/to/dsh-tool-call-stats/index.js'
pnpm dsh web --patch ./stats.cordis.yml

Use

Ask the agent things like:

  • "Use tool_stats to show tool usage so far."
  • "Which tool failed the most in this session?"

Limitations

  • Process-local only: counters reset on restart and are not shared across sessions.
  • Calls aborted before the registry commits a result are not counted (their timing entries are garbage-collected after 10 s).
  • Built against the dsh v0.1 developer preview; upstream interfaces may change ("THERE WILL BE COMPATIBILITY-BREAKING CHANGES").

License

MIT

使用前核對

安裝步驟、相容版本與授權範圍以原專案當前文件為準。Stars 和評分是快照中的導航訊號。

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