Plugins

Realtime token counter beside the deep-thinking indicator in chat, with merged or split input/output display, per-step operation counts, and auto-scaling K/M/G/T units.

Switches every session's thinking and answers to Chinese — terse, a little wry, plain-spoken — while keeping proper nouns in English, and adds an "answer only what was asked" interaction rule. One global system-prompt section (order 10): no UI, no binaries, no network calls. Inactive under the minimal preset, which replaces the whole prompt with its own persona.

Replaces the composer model selector with a "model · reasoning level" trigger: a slider across every level a model reports, three switchable modes (the DSH native selector, a gradient particle rail, an energy-charge track), and a per-provider one-click fill for models that declare no reasoning levels.

Uses a configurable system-prompt section to request a chosen reasoning language (Simplified Chinese by default), and expands thinking rows by default while preserving rows the user manually collapses.

Allows deepseek harness to think dynamically like human,automatically judge the difficulty of tasks with suitable thinking chain.

Turns the "deep diving" thinking status into a pixel font, with an animated pixel blue whale spouting and wagging its tail beside it.

dsh plugin: switch named model profiles (default model, think level, per-subagent models) interactively via the host ask-user flow — one implementation for the TUI and web surfaces, a clean fast-fail on headless

Alibaba Bailian (DashScope) model catalog preset + auto-adapter for DeepSeek Harness — reasoning effort levels, thinking budgets, context windows, auto-adaptation of existing Bailian routes, a configurable context ceiling

Reads AI replies aloud as they stream, with voiced waiting phrases while the model thinks. Edge TTS built in, any OpenAI-compatible cloud engine supported.

A lightweight plugin that adds model thinking token statistics to the bottom Dock.

Keeps manually opened Think rows expanded by default, with a per-session switch to open or close every Think row; tool cards stay collapsed and state resets on page reload.

Product-thinking companion for DeepSeek Harness: clarifies negative boundaries first, separates facts from assumptions, routes through seven product lenses, and persists confirmed decisions to project memory.

Three independent language channels for model output — tool-call descriptions (every tool-call card title, including run_code in PTC-style presets), thinking, and replies — each set to follow the web GUI language, force a specific language, or turn off (default: only descriptions, following the GUI). One global runtime-context prompt directive on the host; the client half reports the GUI language; a Settings plugin card switches the modes.

A lightweight plugin that adds model thinking token statistics to the bottom Dock and the end of each conversation.

Raises Node's HTTP headers/body timeouts for the whole DSH process (default 30 min, proxy-aware) so Ollama and LM Studio models that stay silent while thinking or generating a large tool call are not cut off at 5 minutes; replaces the node_modules undici patch.

Web UI plugin that folds each staged response's think and tool calls into per-segment bounded, scrollable slide windows with a configurable height, keeping every intermediate response visible.

Feishu/Lark channel that drives DeepSeek Harness agents from chats: streaming rich cards with live thinking and tool steps, per-turn cost metering at DeepSeek peak/off-peak rates, one-tap approval cards, model-gated image intake, and QR onboarding without a public endpoint.

Registers /wrapped, which reads the session's own stats and renders a shareable dark SVG summary card — tool vs. thinking time, decode speed, and a tool/thinking-ratio verdict.

During long agent thinking, posts a hot-news or reminder message directly into the conversation stream.

Tiered model routing for DeepSeek Harness: think/build model tiers, vision delegation (the vision model only describes images; the working model acts), image generation, and a high-impact guard.

Rotates the model status line through a 53-phrase English/Chinese deep-theme pool: a random pick at turn start, event-driven switching on new thinking segments or tool calls (3s throttle), and a click on the status line toggles the language.

DIT.ai provider bundle for DeepSeek Harness: installs 29 OpenAI Chat Completions models and 10 Anthropic Messages models from one DIT_API_KEY, with protocol-specific thinking configuration.

Animated DeepSeek blue-whale desktop pet floating on the DSH Web page: draggable with speech bubbles and mood poses, a pet_say tool for the model to make it talk, and turn-start/end thinking and celebrating states.

A draggable mascot invites you to play Xiangqi (Chinese chess) while the AI thinks, with a built-in engine, move-record export, and optional multi-model commentary.