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dsh-advanced-model-editor

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install u9521/dsh-advanced-model-editor

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

To install this plugin in DeepSeek Harness, please run `dsh plugin install u9521/dsh-advanced-model-editor` and refer to the source code at https://github.com/u9521/dsh-advanced-model-editor.

About this plugin

When using DeepSeek Harness for model inference, complex configuration needs often exceed the capacity of the default settings page. Many users require fine-grained management of LLM provider configurations, including reasoning/thinking options, custom request headers, and retry policies, which the official interface often struggles to handle simultaneously across different namespaces (such as llm-deepseek and llm-pi-ai).

dsh-advanced-model-editor plugin is designed specifically to address this pain point. By adding a dedicated "Advanced Model Settings" section to the settings page, it offers a more flexible configuration entry point. The plugin not only supports managing both built-in and custom providers but also allows users to adjust reasoning parameters, set request headers, and define retry policies for specific models. Crucially, it fully inherits the validation and conflict rules of the official settings UI, ensuring configuration safety and consistency.

This tool is ideal for developers and power users who require deep customization of large language model inference behavior. Whether you wish to enable a model's "thinking" mode or need to inject custom headers for specific requests, this plugin significantly enhances configuration convenience and functionality without breaking system rules, allowing DeepSeek Harness to better align with your specific business scenarios.

Screenshots

Use Cases

  • Need to configure DeepSeek model reasoning parameters
  • Need to unify management of multiple LLM provider settings
  • Need to customize request headers and retry policies in the WebUI

Best For

  • Advanced developers of DeepSeek Harness
  • Operations personnel needing fine-grained control over model inference behavior
  • AI application engineers looking to extend WebUI functionality