Plugins

Connect DeepSeek Harness to the TeleAgent (China Telecom TeleAI desktop app) models through the app's own local kernel after signing in there, keeping DSH's streaming, multi-turn, images, tool calls, reasoning and points balance. macOS and Windows only, with TeleAgent 2.7.1+ installed and signed in. It reads the app's saved login token and points cookies (macOS Keychain / Windows DPAPI), starts the app's own kernel binary as a local child process, and needs the gateway apiKey the desktop app ships with, supplied through TELEAGENT_API_KEY or a local.secrets.json in the plugin folder. Daily points claiming is on by default; adding or switching accounts backs up and rewrites the app's login files. It uses the same package name and mount id as the listed alvinhuang0509-design/dsh-connect-teleagent, so install only one. The author's disclaimer asks you to follow TeleAgent's terms of use.

Image-to-LaTeX formula editor: point it at any OpenAI-compatible vision model and a dropped or pasted screenshot is read into LaTeX, a MathLive field edits the formula in place with a 272-symbol palette, and the result copies into Word as a native equation or exports to .docx. Needs baseURL, model and an API key set in its settings before it works: there is no default endpoint, so the screenshot and the key only go where you point them.

Generates images in parallel with two configurable OpenAI Images-compatible or ComfyUI backends, compares the candidates, and optionally fuses them. Visual comparison needs a vision-capable model in DSH; without one the candidates are listed unscored.

Per-turn reasoning-effort routing that keeps the current provider/model: judges each user message (retry or correction, explicit intent, length, code blocks, errors, task scope) and sets reasoningEffort to a level the model actually declares, so Magpie and other OpenAI-compatible models work too. Ships a composer chip with an auto/manual switch and per-session decision history.

OpenAI-compatible gateway for every connected model: groups with failover, aliases, session stickiness, usage charts, API keys and a LAN listener (open to the whole network until you create an API key).

Adds a Settings page to pin one OpenAI-compatible subagent model (or follow the main model), writes the official subagent-model-selection allowlist, reminds the parent to pass that route, and optionally runs one-shot tasks through an isolated Pi CLI provider.

Local model scheduler for DSH on Windows 10/11 with DSH Desktop 0.2.x: a bundled console for engine/model import, VRAM estimation, load/close, and an OpenAI-compatible gateway.

Free LaTeX formula editor in the DSH sidebar with offline MathJax/PDF.js rendering: ten symbol tiles with hover palettes, ten template groups, live preview, colour/font/size/environment controls, favourites with titles and search, and nine export formats (SVG/PNG/JPG, LaTeX/AsciiMath/Typst/HTML/MathML/OMML) with escaping and share links. Image and PDF OCR need a vision-capable model in DSH or your own OpenAI-compatible vision endpoint; everything else runs offline.

Delegates mechanical text work (translate, summarize, extract, classify, rewrite) to an Ollama-native or OpenAI-compatible endpoint by file path, so the source text never enters the main model's context. Registers local_transform, local_batch and local_health; per-workspace local-AI levels (none/light/default/high/max) add a local_worker subagent and a plan-only mode; an opt-in SlaveAgentTeams switch discovers mounted model routes, runs parallel child agents with node-level failover, and registers the endpoint chain as llm-pi-ai routes. Configured from the Web GUI; requires a reachable endpoint.

Text-to-speech service with Doubao TTS 2.0, Alibaba Bailian and OpenAI-compatible providers and a user-chosen voice; the agent speaks through tts_service_say, split into segments with an optional tone each, and other plugins can reuse ctx.ttsService.

An Auto toggle next to the model selector that schedules reasoning_effort per request: complexity is scored by a MiniMax/OpenAI-compatible model with a zero-dependency heuristic fallback (fallbacks not cached), effort ladders adapt to each model real effort list (low/high/max, low/high/highx/max/ultra, ...), heavy tool calls upgrade the tier within the same session, the lit button and reply badges show the effort actually used, and every decision plus observed token usage lands in a JSONL ledger. A standalone-button fork of imkingjh999/dsh-adaptive-effort; do not install it and the original in the same profile.

Whole-PDF paper translation for DSH on top of a BabelDOC installation you provide (Python CLI, with an OpenAI-compatible API key in its config.toml): bilingual dual-page output, a token cost estimate before running, a per-domain glossary reused across papers, and the server-side thinking overhead disabled for translation.

Audio tools for DSH: inspect audio/video files, transcode or extract the audio track from a video, trim and normalize, and transcribe speech with local whisper.cpp or an OpenAI-compatible API. Requires ffmpeg and ffprobe on PATH (not bundled); local transcription also needs a whisper-cli binary and a ggml model.

Multi-engine image generation inside the conversation: an agent tool plus a composer-dock panel with an on/off switch, engine presets (Volcengine Ark, SiliconFlow, OpenAI-compatible, custom) and local spend tracking. You supply the API key for the engine you pick.

Model provider for DeepSeek Harness (DSH): WorkBuddy, Trae, Qoder, ZCode and your Claude / Codex subscriptions behind one OpenAI-compatible endpoint, with a lightweight settings panel and the full management interface one click away. · DSH 的模型提供方：设置页轻量管理，

Ollama Cloud provider for DeepSeek Harness with native and OpenAI-compatible transports.

Natural, human-sounding voice for the dsh harness: server-proxied neural TTS read-aloud and agent speech tools over OpenAI-compatible endpoints, browser-native or Whisper speech input, and a Voice settings section

Translates PDFs with BabelDOC through an OpenAI-compatible endpoint while keeping the original layout, and returns both a bilingual and a translated-only PDF. Requires a one-time runtime setup and an OpenAI-compatible API key.

Registers the models of a local workbuddy2api-hub gateway into DSH as one OpenAI-compatible provider per gateway API key, each key keeping its own model selection, and shows the main key's credit balance plus today's and this week's tokens, credits and API-equivalent cost in a sidebar badge. Requires workbuddy2api-hub running locally.

Web GUI enhancement bundle: a standalone password gateway (optional HTTPS via your own certificate or a self-signed local CA) for LAN and remote access without `?token=`, PWA install with icon and app name, desktop and mobile Web Push notifications for task/approval events, and optional session-id request-header injection for third-party OpenAI-compatible routes, all configured from a settings page.

DocChain knowledge base, document conversion and knowledge-graph toolkit — filename, content and metadata search, locate-by-doc_id/name with content reading, topic listing, bulk document upload, document-to-Markdown conversion, image-similarity search, per-document image descriptions saved to a sidecar markdown (flowcharts and architecture diagrams are turned into PlantUML sketches, other images into text descriptions; the original image is replaced by a clickable link), a deep-research workflow, and a knowledge-graph layer (ontology inspection, read-only Cypher, ontology/entity/relation writes). Every script-backed capability also ships as a native DSH tool executed in-process: doc search, content search, filename search, topic info, metadata search, upload, image search, image describe, doc2markdown, plus kg schema / kg cypher / kg upsert node / kg upsert relation / kg delete node / kg delete relation. All graph operations go through the DocChain API, so no Neo4j password is needed. The configuration page keeps several docchain environments (each with its own address and credential), switches between them in one click, and pre-selects topics per environment. Needs a docchain service URL and API key (except doc2markdown); image descriptions additionally need an OpenAI-compatible multimodal endpoint (defaults to an internal gateway model, configurable).

Registers an `image2_generate` tool that calls your own OpenAI-compatible image relay to generate or edit pictures (text-to-image via POST /images/generations, image-to-image via POST /images/edits with a local PNG/JPEG/WebP reference, accepting b64_json or image URLs), saves them in the session working directory, and renders them inline in the conversation through its `@wisdoverse/dsh-inline-media-viewer` dependency.

Grok model provider for DeepSeek Harness with model discovery, image and video generation, text-to-speech tools, and durable local media tasks over an OpenAI-compatible gateway.

Alibaba Cloud / Qwen balance card above the Settings row in the DSH web sidebar: account available and cash balance, coupon balances with expiry dates (student vouchers included) read through the BSS OpenAPI, and OpenAI-compatible relay quota. An official DashScope sk- key has no balance endpoint at all, so real money and coupons require an Alibaba Cloud AccessKey with bss:DescribeCoupons + bss:DescribeAcccount (AliyunBSSReadOnlyAccess is enough); secrets stay in the host process, the browser only sees a masked AccessKey ID, and /api/dsh-qwen-balance/* is loopback-only.