Plugins

NewAPI (OpenAI-compatible gateway) LLM provider: registers a `newapi` route with chat-only model discovery, auto-fills model parameters (context window, reasoning effort) from models.dev, and adds a Web settings section for the base URL and API key.

Coordinate independent DSH Sessions and provider-backed members without merging their histories, using persistent native Rooms with identity-bound leading `@` mentions, direct delivery, broadcasts, and leader-scoped controls.

DSH plugin: auto-fill metadata (context length, output cap, display name, input modalities) for custom-provider models from the Model Metadata Registry (models.dev).

Codex App Server model provider using a local Codex login, with session reuse, Harness tool bridging, native action traces, and durable generated-image projection.

Use third-party subscription accounts in DeepSeek Harness: chat, image understanding, image generation, and image editing with the models your subscription covers, with available models and reasoning levels synced from your account; currently supports OpenAI/ChatGPT subscriptions, more providers planned.

Tavily-backed web search provider for the built-in web_search tool, with a settings card for the API key, result count, and recency window.

Replace dsh's built-in web search with search MCP servers (Tavily/Brave/Exa/Perplexity/DuckDuckGo/custom), configured from the web Settings page. Disables the built-in DeepSeek search provider while enabled.

DeepSeek Harness 回退链插件：主模型失败自动切换备用 provider，带 Web UI 配置面板 | Provider fallback chains for DeepSeek Harness

Use local Codex App Server as a model provider in DeepSeek Harness

OpenAI Codex provider for DeepSeek Harness with device-code OAuth, Codex CLI import, token refresh, and a web settings panel.

DeepSeek Harness LLM provider for Codex models using managed ChatGPT OAuth

DeepSeek Harness LLM provider for Codex models using managed ChatGPT OAuth

AnySearch Web Search Provider for DeepSeek Harness: native AnySearch /v1/search, dedicated Web settings section, DSH credentials integration, Web and Headless profile support.

Multi-provider account balance display for the DeepSeek Harness Web GUI. Queries real billing APIs (DeepSeek, StepFun, Kimi Coding, OpenRouter, MiniMax, xAI) and shows balance/quota in front of the model selector. Providers without an API-level billing en

Per-subagent LLM provider/model selection with role templates.

LLM provider that runs the locally installed Claude Code CLI as the model backend, so requests go through an existing Claude subscription instead of a metered API key; native tool calls are bridged over MCP.

Bottom-right quota capsule that auto-discovers every configured provider (DeepSeek, OpenRouter, SiliconFlow, GLM, one-api/new-api, coding plans) and shows balance or rolling 5-hour and weekly usage, with per-provider visibility, alert thresholds and proxy support.

Configurable DSH usage statistics: a sidebar text/card widget plus a detail dialog with per-provider and per-model breakdowns, cache-hit rates, token trends, and latency details (TTFT and duration).

A Claude Code-style reasoning-effort slider for the DSH Web UI: stepless drag, snap-on-release, a WebGL fire trail, and real, working thinking-effort control for any custom third-party model or provider.

让 DeepSeek Harness 的第三方 API 支持低、中、高等推理强度，并可为每次子 Agent 调用选择模型｜Add Low, Medium, High, and other reasoning levels to third-party APIs, with model selection for each subagent call

Per-model capability declaration for DeepSeek Harness: reasoning-effort levels (wire spellings) + request modalities (vision) for OpenAI-compatible providers. Settings section, zero runtime harness deps, no YAML.

provider-agnostic AIGC HTTP 桥 + 无限画布 + ffmpeg 后处理，13 个工具含画布连边/reroll/媒体编辑 | Provider-agnostic AIGC HTTP bridge + infinite canvas + ffmpeg post-processing; 13 tools incl. canvas linking/reroll/media-edit

Bridges session images to configurable vision providers and returns text-only analysis to eligible DeepSeek Harness model routes.

Automatic provider/model fallback chains for DeepSeek Harness agents when LLM requests keep failing (retry exhausted, auth, quota, rate limit)