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UncleK/dsh-think-translate

dsh-think-translate

UIWeb UI58 GitHub stars· updated 2026-10-25

Translate the reasoning / thinking chain (chain-of-thought), task cards and answers of the DeepSeek Harness Web UI into one of 8 target languages

Install

npx @deepseek-ai/dsh plugin --profile web add dsh-think-translate

Restart `dsh web` after install. Bundle APIs can change during the developer preview.

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From the README

Excerpt from UncleK/dsh-think-translate, cleaned of badges and images.

🐋 dsh-think-translate

Languages: English · 中文 · 日本語 · 한국어 · Español · Français · Deutsch · Русский

<img src="demo/demo.gif?v=2" width="46%" alt="dsh-think-translate demo" style="border:1px solid #4D6BFE;border-radius:8px;margin:4px" />      <img src="demo/demo2.gif?v=2" width="41%" alt="dsh-think-translate demo 2" style="border:1px solid #4D6BFE;border-radius:8px;margin:4px" />


Translate the reasoning / thinking chain (chain-of-thought), task cards and answers of the DeepSeek Harness Web UI into one of 8 target languages — in real time, on the display layer only. The originals stay untouched in the transcript, and the translated text never enters the model context.

✨ Why dsh-think-translate

DeepSeek-class models often reason in Chinese — or in whatever language they happen to think in. dsh-think-translate renders the Think row, task cards and answer in your language while you watch, like subtitles for the model's thinking.

  • 🕵️ Read any thinking chain — reasoning, chain-of-thought, task cards and answers translated in real time, streamed batch by batch
  • 🌍 8 languages, one consistent UI — 中文 / English / 日本語 / 한국어 / Español / Français / Deutsch / Русский; the settings panel, thinking rows and task cards all follow your choice, and it persists across reloads
  • 🔗 Dynamic provider chain — order providers by drag-and-drop and enable/disable each one. Built-ins (google gtx, bing, local Ollama) plus any number of custom providers; the chain already ends with the free providers, so a second fallback pass is a config-file option, not a UI one
  • 🔌 Custom providers (OpenAI & Anthropic) — add arbitrary OpenAI-compatible endpoints (any /v1/chat/completions gateway) or native Anthropic Messages API endpoints (Claude) from the settings panel: name, type, base URL, API key, model
  • 🪄 DSH provider discovery — providers already configured in DSH's profiles/<profile>/cordis.patch.yml / legacy settings.yaml (llm-pi-ai.providers, e.g. linuxdo-hub, coding-hub) are auto-discovered and appear in the chain as read-only "DSH" entries, and one button in settings rescans and adds them all at once; keys are resolved from .credentials.yaml at runtime and never written to the plugin's config. The harness's own default route counts too: when default-model / agent-default-model points at deepseek-official, DeepSeek's API is offered as one more DSH entry
  • 🔒 Local Ollama — reuse an existing installation and model. When enabled Ollama is first in priority, or you click Test, the plugin starts the service and loads the model as needed. Missing software/models require the setup button before installation/download, with live progress
  • 🧠 Zero context cost — pure display layer: the model still sees the original text, and translated text never consumes the context window
  • ☁️ Google / Bing fallback — automatic switch when other providers are unavailable (google goes through a Node CONNECT tunnel using the system proxy, bypassing anti-bot blocks)
  • 🛡️ Code-safe — file paths, commands, URLs, regexes and pure-code lines are never translated
  • 🚨 Auto-review reasons — when Auto review denies a tool call, the approval card appends the reviewer's reason in your target

…

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