Plugins

Shows DeepSeek peak/off-peak pricing status, a countdown to the next rate change, and the estimated session cost as inline text beside the model selector.

Adds a one-click prompt optimization button to the DSH composer, with undo and an optional dedicated optimizer model.

Session model selector with search: two-stage loose matching (normalised substring first, subsequence as fallback, so glm53 finds GLM-5.3 and ds finds DeepSeek), providers with recent successful calls pinned first, and a reasoning-effort pane that remembers each model's last explicitly chosen effort.

dsh web 插件：自动配置模型思考档位与能力，并按 provider+model 记住最后选择的思考档位

Sign in to DeepSeek Harness model providers with a subscription: drives the OAuth flows the harness registers but never exposes.

Connect DeepSeek Harness to ChatGPT models through the Codex app-server

Read-only MCP server over the DSH plugin-certification registry, exposing a plugin certification grade, its snapshot and the five-dimension evidence behind it.

Use a Claude Pro or Max subscription as a DeepSeek Harness model provider, by driving the Claude Code CLI through the Agent SDK.

Persistent, conversation-decoupled multi-shell terminal panel for DeepSeek Harness (DSH): real tmux TTYs, 11 model tools, draggable floating panel

Drive a local DeepSeek Harness agent from QQ and other IM channels through AstrBot: send tasks with /dsh, continue by quoting or @-mentioning the bot, answer approvals and ask_user_question prompts from chat (in parallel with the DSH web UI), and get results, inline images and file cards back. Ships session / workspace / model / permission commands, /compact and /last recovery, three progress-display modes, and group-shared or per-user session scoping.

Sanitizes leaked DeepSeek DSML closing tags from model text streams.

A ✨ button left of the send button: reads the draft and recent turns, asks the configured model for three suggestions each pairing an issue with a patch, lets you tick them individually with a live preview of the merged prompt, and writes the result back to the composer without sending.

Adds per-route context window and compaction threshold fields to the Models settings page and a vendor-aware thinking-effort picker to the composer, writing llm-pi-ai capacities, reasoningEfforts, and a compaction-basic patch row.

Visualize the plugin and model call flow as a 3D office with six fixed workstations, thought bubbles and a delivery sheet.

Floating translucent DeepSeek whale elf on the DSH page that opens a draggable, minimizable temporary chat window using the session model or a custom OpenAI-compatible endpoint, with real-time streaming.

MCP server management panel in Settings: add, edit, enable/disable and delete servers across user and workspace scopes with form or JSON editing, and auto-register discovered MCP tools as native conversation tools.

Five web UI tools in one plugin: a provider + model two-button selector with reasoning-level control, collapse/expand-all for sidebar workspace groups, a session tab listing the files the session changed (needs kernel 0.1.2-alpha.1+, silently absent on older kernels), a workspace badge next to the session title, and a settings page that toggles them.

LiveBench leaderboard for DSH — discovers the release the official site currently publishes, then reads its CSV and category JSON, and renders model rankings in an isolated same-origin iframe opened from a button beside the composer. Search, organization / open-weight / reasoning filters, per-category sorting, task-level detail, up to four models side by side, CSV export; refreshes every 60 s by default (configurable 30–3600) and caches only to the plugin's own .cache/rankings.json.

Voice input plugin (dual-face): mic button beside the composer send action, live recording bubble streaming PCM to a local Qwen3-ASR python service managed by the host, plus an ASR environment settings page (clone runtime/model repos, create venv, run ser

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.

Configure multiple image providers in Settings and call image_generate with the one selected model; images save under generate/image and show inline in the conversation.

Input-box floating translation widget for DSH: translate drafts via session model, Zhipu GLM, or custom endpoints, with preview/replace/append, connectivity testing, and recent history.

Measures what an llm-pi-ai endpoint really accepts — context window from its own model list, output-token limit and reasoning levels read out of its own range errors, image support from a generated test image — then reports declared values that contradict that evidence and rewrites them only after confirmation.

Settings section that reports token usage: totals for input, output, cache read, cache write, reasoning and call count, with breakdowns by model, day, month and project plus a per-day trend chart for the last 30 days; history is rebuilt once on a worker thread and then kept current from live session events.