DeepSeek Harness (DSH) adopts the philosophy of “everything is a plugin.” When building agents or configuring sessions, you will often encounter scenarios that require precise numerical calculations based on parameters, such as estimating the potential for improving average order value. This section introduces the dsh-aov-up plugin, which provides a calculation solution without network dependency.

What Is It

This is a tool for estimating improvements in average order value. It uses a pure Node implementation and does not rely on any external network interfaces. Based on the input parameters, the plugin performs precise calculations and returns detailed estimation results.

Installation and Enablement

To install this plugin, simply execute the official command. After installation, the plugin registers the corresponding tools in the current session, allowing you to call them directly.

dsh plugin add github:uckkk/dsh-aov-up

Core Features

  • Average Order Value Improvement Estimation: Provides core calculation capabilities for estimating improvements in average order value.
  • Pure Node Implementation: The code runs in the local environment and does not generate network requests.
  • No Network Dependency: The calculation process is fully offline, helping preserve privacy and stability.
  • Precise Calculation and Detailed Results: Performs precise calculations based on parameters and returns structured data.

Technical Dependencies

This plugin requires the following environment dependencies:

  • @deepseek-ai/cordis: the version must satisfy ^4.0.1.
  • @deepseek-ai/dsh-tools: the version must satisfy >=0.1.0-rc.6.

Applicable Scenarios and Notes

This plugin is suitable for business scenarios in the DSH ecosystem that require local logical estimation of average order value. The plugin runs with the permissions of the current DSH process. It is recommended to review the source code and license (MIT) before use.

Summary

dsh-aov-up provides lightweight local calculation capabilities and is suitable for numerical estimation within business logic. For more details, refer to the plugin directory or the source repository.