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dsh-reasoning-effort

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install Triple3h/dsh-reasoning-effort

Paste the following prompt into your AI chat to install this plugin:

Install the plugin by running dsh plugin install Triple3h/dsh-reasoning-effort in DeepSeek Harness; the source code is available at https://github.com/Triple3h/dsh-reasoning-effort .

About this plugin

Tuning reasoning effort across different models in DeepSeek Harness used to mean opening a terminal, hunting down the llm-pi-ai config file, hand-editing JSON, and restarting the Web service. dsh-reasoning-effort moves that adjustment right into the DSH Web UI so you can dial reasoning depth as naturally as turning a volume knob.

Two surfaces work in concert. A Settings page under Reasoning Effort walks you through every explicitly configured custom pi-ai model and lets you toggle which of the seven levels (off, minimal, low, medium, high, xhigh, max) each one exposes. All other model fields and provider-specific wire values are preserved, and saves go through DSH's settings service so you never edit a config file by hand. The second surface is a reasoning-effort slider embedded directly in the composer s model picker: select a model, then drag the handle, use arrow keys, or scroll to choose the level for the current session. Both surfaces read and write the same llm-pi-ai configuration, so what you configure in Settings is exactly what the slider offers. Note that the full seven-level set applies to custom pi-ai providers only; the DeepSeek native adapter recognises just off, low, high, and max.

If you run several pi-ai custom providers in DSH and switch reasoning depths frequently, this plugin keeps you in the conversation loop instead of bouncing between a JSON editor and the browser.

Use Cases

  • Quickly switch reasoning depth across multiple pi-ai provider models in DSH
  • Adjust reasoning levels directly in the Web UI without hand-editing JSON config
  • Pick a session-level reasoning effort via the embedded slider in the model picker

Best For

  • Developers running multiple pi-ai custom providers in DSH
  • Users who prefer GUI-driven configuration over manual JSON editing
  • Heavy conversation users needing per-session fine-grained reasoning controls