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dsh-peak-avoidance

已验证 · 实测可装 yuzuki-natsumi

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—语言
2026-08-17最近推送
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功能简介

DeepSeek Harness 高峰期模型自动切换插件 · peak-hour model auto-switch (AI-developed, maintainer 柚木夏实)

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我们的评价
可用 — 实测通过,早期项目

DeepSeek Harness 高峰期模型自动切换插件 · peak-hour model auto-switch (AI-developed, maintainer 柚木夏实) 实测能干净安装、正常启动。早期项目,但功能可用。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

dsh-peak-avoidance

Auto-switch to an alternate model before DeepSeek peak hours and back to the official model afterwards — avoiding official peak-hour pricing.

npm version
npm downloads
License: MIT
Node

Maintainer: 柚木夏实 · Code written by AI (DeepSeek Harness)

Disclaimer

This plugin was developed entirely by DSH (AI). The author has no programming experience, and the code has not been professionally reviewed.
Users must test it themselves and judge its safety, stability, and correctness before use.
The installation instructions in this repository may contain AI hallucinations (inaccurate or nonexistent steps, package names, or paths) — verify everything before executing.
The author accepts no liability for any consequences of using this plugin.

Features

  • Scheduled switching: enter avoidance at window start − leadMinutes (default 30), restore at window end.
  • Both routes: agentDefaultModel (default route) + apiProxy.sessions.selectModel (live sessions, takes effect next turn).
  • Multiple windows, cross-midnight supported (e.g. 22:00-02:00).
  • Reasoning effort per model (high, …), dropdown populated from the live model catalog.
  • Provider/model dropdowns fetched live from the llm service.
  • Switch toast: frame-wide banner on enter/exit (toggleable; polling stops when off).
  • Manual control: card buttons plus model tools peak_avoidance_status / peak_avoidance_control.
  • Safe: sessions manually reverted during peak are never forced back; originals are restored on stop (restoreOnStop).

Install

Option 1 — npm (recommended for DSH users):

npm install dsh-peak-avoidance

The @deepseek-ai runtime deps are peerDependencies, provided by DSH itself — nothing extra to install. Installing outside DSH requires providing the peers (@deepseek-ai/dsh-settings, @deepseek-ai/dsh-tools, @deepseek-ai/cordis) yourself.

Option 2 — from source: clone this repo and place lib/ + package.json into a DSH-resolvable directory (e.g. $DSH_HOME/profiles/node_modules/dsh-peak-avoidance/).

Both options then require appending to $DSH_HOME/cordis.patch.yml:

- insert:
    - id: peak-avoidance
      name: 'dsh-peak-avoidance'

and restarting DSH.

Usage

  • Settings → Plugins → Configurable → Peak Avoidance card: status, config, manual enter/restore.
  • Config lives in DSH settings (peak-avoidance section of settings.yaml); changes apply immediately.
  • Required: peakModel (avoidance target) and normalModel (official model; copy the current default on first run).

Privacy & security

  • No API keys are read, stored, or emitted; only model selections and its own config.
  • The client bridge accepts loopback requests only.
  • All catalog/model/effort data comes live from the DSH llm service — no deployment-specific hardcoding.

Development

  • No build step: lib/index.js (host, Cordis plugin module) + lib/client.js (browser, module-loader format).
  • Deps: @deepseek-ai/dsh-settings, @deepseek-ai/dsh-tools, @deepseek-ai/schemastery.

License

MIT

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-peak-avoidance」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:yuzuki-natsumi/dsh-peak-avoidance

Headless(CLI)profile:

dsh plugin --profile headless add github:yuzuki-natsumi/dsh-peak-avoidance

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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