dsh-translate-tab

Name: dsh-translate-tab
Availability: InStock
Author: Zhen-Bo

Translation plugin for DeepSeek Harness. Adds a two-pane Translate page to the sidebar with model, reasoning effort and prompt controls.

Stars: 0
Language: TypeScript
Created: Oct 5, 2026
Updated: Oct 5, 2026

Web UI

GitHub repo

Introduction

🌐 dsh-translate-tab

A translation plugin for DeepSeek Harness.

Installation · Quick start · Usage · Troubleshooting

English | 繁體中文

The Translate page in DeepSeek Harness. English source text on the left, detected automatically and translated into Traditional Chinese on the right.

✨ Features

Sidebar integration: adds a Translate entry under Plugins that opens a two-pane translation view in the main area.
Shared model catalog: uses the same providers and models as Harness chat, with adjustable reasoning effort.
Low-latency default: uses the catalog's default model with reasoning effort off.
15 languages: with automatic source language detection.
Configurable prompt: supports {{target_language}}, {{source_language}} and {{text}} variables.
Localized interface: follows the Harness language setting in English, Simplified Chinese and Traditional Chinese.

📋 Requirements

DeepSeek Harness desktop app with the dsh CLI on PATH
At least one model configured with a valid API key in Settings › Models

📦 Installation

From DSH Plugin Hub

Install DSH Plugin Hub:

dsh plugin --profile desktop add dsh-plugin

Restart DeepSeek Harness.
Open Settings › Plugin Market, search for dsh-translate-tab and select Install.

From npm

Install the plugin from the npm registry:

dsh plugin --profile desktop add dsh-translate-tab

Restart DeepSeek Harness.

From GitHub

Install the plugin from the repository:

dsh plugin --profile desktop add "github:Zhen-Bo/dsh-translate-tab"

Restart DeepSeek Harness.

🚀 Quick start

Open Plugins › Translate in the sidebar.
Enter the source text in the left pane.
Press Ctrl + Enter, or ⌘ + Enter on macOS.

The translation streams into the right pane.

🧭 Usage

Languages

Traditional Chinese, Simplified Chinese, English, Japanese, Korean, French, German, Spanish, Portuguese, Italian, Russian, Vietnamese, Thai, Indonesian and Arabic, each available as source or target.

Automatic detection applies to the source and recognizes Japanese, Korean, Arabic, Thai, Russian, Simplified Chinese, Traditional Chinese and English.

Model and reasoning effort

The model picker is at the top right. Reasoning effort is set with the slider below the model list.

Translation prompt

The prompt editor opens from the button next to the model picker. The prompt is sent as the user message with the following variables substituted:

Variable	Value
`{{target_language}}`	Target language name in English, for example `Japanese`
`{{source_language}}`	Source language name, or `the detected source language`
`{{text}}`	Source text. Appended to the end when the prompt omits this variable

Storage

Data	Location	Lifetime
Languages, model, reasoning effort and custom prompt	`localStorage` key `dsh-translate-tab:v1`	Persistent
Source text draft	`sessionStorage` key `dsh-translate-tab:draft`	Current window session

🔧 Troubleshooting

Message	Resolution
This model has no API key yet	Add a key in Settings › Models, or select another model
The API key was rejected	Verify the key in Settings › Models
Too many requests	Retry after a short wait
The response stopped early	Run the translation again
Text is too long	Split the source text into segments under 100,000 characters

If Translate is missing under Plugins, verify the install path and restart DeepSeek Harness.

🧹 Uninstall

dsh plugin --profile desktop remove dsh-translate-tab

Restart DeepSeek Harness afterwards.

🧩 Architecture

Path	Runtime	Role
`src/client`	Harness window	Translate page in React and TypeScript
`src/server`	Harness host	`POST /translate/api/stream`, streams a single model call
`src/shared`	Both	Route, text limits and stream event types
`locale`	Harness window	Interface text, registered with the Harness locale service
`lib`	Both	Build output loaded by Harness

Stream format

The route accepts same-origin requests from the Harness window and responds with newline-delimited JSON:

{"t":"text","v":"..."}        translated text
{"t":"done"}                  finished
{"t":"aborted"}               cancelled
{"t":"error","message":"..."} failed

💻 Development

Install dependencies and link the working copy to the desktop profile:

npm install
dsh plugin --profile desktop add "link:D:/path/to/dsh-translate-tab"

Run the build in watch mode, then restart DeepSeek Harness to load changes:
```
npm run dev
```

Command	Purpose
`npm run build`	Builds `lib/client.js` and `lib/index.js`
`npm run check`	Runs the type check, lint, tests and build
`npm run fix`	Formats the code with gts

📄 License

Licensed under the MIT License.