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Model Switch — DSH Plugin for DeepSeek Harness
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dsh-model-switch

Model Switch

DSH plugin: choose models for subagents and plan execution separately / 为子代理和计划执行选择更合适的模型

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:lincong1987/dsh-model-switch#388de8a36cb3f6514a161e9e9dcc45ca04cd3a08
READMECompatibilityVersions
Model switch settings

Compatibility and provenance

Model Switch is published as dsh-model-switch and currently resolves to version 0.8.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
9/10/2026

Versions

0.8.0stable
9/10/2026
0.7.1stable
9/9/2026
0.7.0stable
9/3/2026
Show 4 more versionsCollapse versions
0.6.1stable
9/2/2026
0.6.0stable
9/2/2026
0.5.0stable
8/22/2026
0.4.0stable
8/20/2026

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0.8.0
DSH
*
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Unpacked size
Unavailable
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Surface
web
License
MIT
Source
github
GitHub
★ 11
Weekly downloads
0
Last push
9/10/2026
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README

dsh-model-switch

English | 中文

Use the right model for each stage of work in DeepSeek Harness.

The main conversation, subagents, and plan execution serve different purposes. dsh-model-switch lets each of them use a suitable model without changing the normal DSH workflow.

Why use it

  • Match models to tasks — keep your preferred model in the main conversation and use another model for subagents or plan execution.
  • Avoid repeated switching — save defaults once instead of changing models before every task.
  • Confirm before execution — review or change the model directly in the plan approval panel.
  • See what subagents use — display the model, context window, and reasoning effort, such as GPT-5.6 Sol 1M Max.
  • Keep the main model unchanged — after plan execution, DSH restores the previous main-session model.

Preview

Configure model defaults

Model switch settings

Choose the model for plan execution

Plan awaiting reviewPlan execution model

See the model used by subagents

Subagent model overviewSubagent model details

Install

Use the GitHub spec. This plugin is not published as an npm package, so do not use @lincong1987/dsh-model-switch.

dsh plugin --profile web add github:lincong1987/dsh-model-switch

Replace web with the profile DSH is actually running. DeepSeek Harness Desktop typically uses desktop.

Restart DSH after installation.

Update DSH

This plugin requires DeepSeek Harness 0.1.5-rc.1 or later. DSH has no dsh update command — install the version you want the same way you originally installed it.

  1. Check the installed version and what npm currently publishes:
dsh --version
npm view @deepseek-ai/dsh dist-tags

As of 2026-09-10, latest points to 0.1.5-rc.1 (this plugin's current target), next points to 0.1.5-rc.2, and the alpha tag points to 0.1.5-alpha.2. Pin the exact version (@0.1.5-rc.1) when reproducibility matters.

  1. npx (Web):
npx --yes @deepseek-ai/dsh@0.1.5-rc.1 web
  1. Global npm install:
npm install -g @deepseek-ai/dsh@0.1.5-rc.1
dsh --version

Then restart dsh web. DSH needs Node.js ^22.19.0 or >=24.

  1. Desktop: Fully Exit from the tray, then use Check for Updates in the app (or install a newer Desktop build). Desktop ships its own packaged dsh; updating npm or npx does not replace that copy. After Desktop finishes updating, restart it.

DSH is still a developer preview and may change on-disk formats between releases. Back up ~/.dsh (Windows: %USERPROFILE%\.dsh) before jumping versions. In particular, 0.1.0-rc.8 changed the SQLite storage format incompatibly, and 0.1.2-alpha.3 removed the optional SQLite session backend entirely (existing data is kept but needs an older version to export); treat local sessions as non-portable when crossing those boundaries. 0.1.2-alpha.5 fixed upgrading from 0.1.1-rc.2 or 0.1.2-alpha.3 (the app now starts and session list titles are kept); 0.1.5-rc.1 is the current release-candidate line that this plugin targets.

After DSH is on a compatible version, reinstall this plugin as described below.

Reinstall / after a DSH update

Reinstall the plugin when this repository has a new release, or after you upgrade DeepSeek Harness. The plugin tracks a specific DSH version (currently 0.1.5-rc.1 or later), so a host upgrade should be followed by a plugin reinstall.

  1. Update DSH first (see Update DSH; skip this step if only the plugin changed).
  2. Reinstall with --force so DSH refreshes the GitHub source:
dsh plugin --profile web add --force github:lincong1987/dsh-model-switch
  1. Restart DSH.

On Desktop, run one plugin add at a time. Fully Exit from the tray (closing the window is not enough), wait until Desktop finishes starting, then reinstall, then Exit and reopen again. If install fails with another plugin install recovery transaction is pending, quit Desktop, wait, and retry once. If it is still pending, quit Desktop, delete %APPDATA%\DSH Desktop\plugin-install-recovery, reopen Desktop, then run a single add --force.

To bypass the Desktop wrapper, run the matching DSH CLI in a normal terminal:

npx --yes @deepseek-ai/dsh@0.1.5-rc.1 plugin --profile desktop add --force github:lincong1987/dsh-model-switch

Use

  1. Open Settings → Model switch.
  2. Configure the Subagent model and Plan execution model:
    • Follow main model uses the current conversation model.
    • Custom lets you choose a model and reasoning effort.
  3. When reviewing a plan, confirm or change the execution model before selecting Approve.

The model selected in the plan review panel takes priority over the saved plan-execution setting.

Compatibility

Requires DeepSeek Harness 0.1.5-rc.1 or later. Settings are stored in the host settings document through the plugin's registered model-switch namespace.

Subagent model switching applies to in-process subagents such as spawn and fork. External-process agents may manage their models independently.

DSH 0.1.2-alpha.1 also introduced a native, agent-driven model selection for subagents (the agent picks provider/model/effort within its authorization). This plugin is complementary: it enforces a fixed, user-configured routing policy instead, and adds the plan-execution model switch, restore, and session model badges.

Community

WeChat

Links

  • Linux.do

License

MIT