Plugins

Rewrites agent-issued delete commands (PowerShell `Remove-Item` and its aliases, Bash `rm`/`unlink`/`rmdir`, CMD `del`/`erase`/`rd`/`rmdir`) into system recycle-bin operations on Windows, Linux and macOS, best-effort checks scripts for the same operations before they run, and keeps no permanent-delete fallback.

Gives pi-ai routed models a reasoning-effort ladder without manual settings: falls back declared to models.dev to a 7-tier default, and replaces the composer model chip with a Codex-style vertical picker.

Configure thinking toggles and reasoning efforts per model for llm-pi-ai and official DeepSeek, and specify input modalities (input or inputModalities) in the DSH settings panel.

ChatGPT-like conversation layout for the DeepSeek Harness Web client: a 768px centered column, right-aligned neutral bubbles for user turns, full-width assistant text at 16/28, and rounded code blocks with their own copy banner. Adds semantic inline markup (`==confirmed==`, `!!risk!!`, `++key word++`, with bare 4xx/5xx codes highlighted automatically) and line-start check/warn/tip callouts; a fast/thinking chip in the composer that switches the model reasoning effort through ctx.modelDirectories; and sidebar contrast, where the selected session gets a tinted row with an accent bar and workspace folder icons are colored.

Adds a Keyboard Shortcuts page to the DSH Settings panel with six rebindable commands — permission-mode cycling, reasoning-effort stepping, a status-page and a task-list shortcut — plus PgUp/PgDn input navigation and an optional composer Enter remap.

Turns the composer's reasoning-effort menu into a draggable slider and takes over the stock model-and-reasoning-level chip. Dragging follows the pointer continuously; releasing snaps to the nearest level and submits one session update per drag. The track draws its own fill, tick marks and white knob, only the highest levels (xhigh, max, ultra) get a flowing brand-colour gradient, and both ends carry the lowest and highest level names. The same card expands into the official model list. Arrow keys step one level, PageUp and PageDown two, Home and End jump to the ends, and each move submits. A generation counter on the directory object discards late responses, and reduced-motion turns the animations off. All data comes from the stock modelDirectories directory; no new capabilities are added.

Marks models in use by other running sessions in the DSH model menu, and restores the remembered reasoning effort and group collapse state for each model.

Adds two visual pages to DSH Settings. MCP servers are kept as a JSON source of truth that rewrites the profile patch managed block, with YAML validation and timestamped backups, plus import of a pasted mcpServers JSON that first lists what will be added or overwritten. Thinking unlock probes each OpenAI-compatible gateway for the reasoning efforts it really declares and writes the per-level config back while leaving other hand-written YAML byte ranges untouched; the available model list syncs from a separate button that previews additions and removals, then writes levels and models in one atomic pass, and can also run on the page schedule.

Subagent model control: a Jev classifier labels each turn, and the subagent request itself is rewritten to the provider, model and reasoning effort that the label maps to, at the agent/request hook; a per-session inherit/auto/manual selector, one prompt per role injected ahead of the task, and offline replay of past verdicts.

Fork of amlyczz/dsh-lark-link (MIT), maintained by Very12345. Per-conversation reasoning-effort controls, multi-app isolation, and streamed task-status cards.

Adds a thinking-depth slider mapped to declared model levels, configuration guidance, and optional inline model settings.

Connects Trae CN desktop app models to DeepSeek Harness with no OAuth flow: reuses the desktop sign-in, exposes 17 models (including deepseek-v4.1-flash) with consumption-rate badges and reasoning-effort mapping.

Per-model input type and thinking level declarations on the 模型 settings page — 输入类型 checkboxes on every provider card, and a 思考等级 field in the provider 编辑 dialog. Writes the official pi-ai input and reasoningEfforts fields.

Swaps the composer's model control for a PI-Desktop style picker: a two-pane menu with search and provider grouping, a reasoning-effort slider, ArrowUp/ArrowDown prompt-history recall, and a prompt-rewrite button with undo.

Smart prompt optimization & dynamic thinking effort adaptation with composer capsule, DSH/custom models, undo/re-optimize, and native settings.

DeepSeek Harness (DSH) plugin — see your effort and token usage by date and workspace: calendar heatmap, time-of-day analysis, workspace share, and a shareable self-contained HTML report.

Lets Codex delegate tasks to Desktop sessions through a local authenticated bridge and companion MCP server, with Workspace grouping, model and reasoning effort selection, event tracking, waiting, and cancellation.

Delegates self-contained coding subtasks to the local Claude Code subscription through the official Agent SDK and returns the result to the host session. Nineteen per-call parameters control model, thinking effort, permission mode, allowed tools, turn count and budget cap; background jobs return a jobId immediately and stream incremental output; the result carries a session handle that can be passed back as resume to continue the same conversation; commands expected to run past ~20 seconds go through the built-in mcp__dsh__shell channel, which streams output line by line without consuming model context; a Claude Code monitor panel in the session lists jobs, renders the structured process, shows live output blocks and cancels a run; the delegation procedure ships as a runtime-registered skill, so installing the plugin installs the skill.

Edit reasoning effort levels and thinking formats for models that declare none.

A T3 Code-style New Session screen for the composer: a "What should we build in <project>?" headline whose project name opens a workspace menu, a reasoning-effort picker in the composer tool row, and a git branch strip under the card that searches local and remote refs and switches with git checkout.

A Codex delegation tool for DeepSeek Harness that can carry a model and a reasoning effort per call.

第三方模型的思考强度与输入模态设置（DeepSeek Harness 插件，Fish 补充版）：每模型声明思考档位与图片输入，由内置模型知识库 + 线协议推断自动适配，直接在官方「模型」页卡片内编辑。基于上游 dsh-better-reasoning-effort 0.5.2，修复了与 dsh-web 模型能力插件的席位冲突。

Maintained fork of dsh-prompt-enhance, brought up to DSH 0.1.7 — the plugin would not even load on current hosts (InputState.imageIds became attachmentIds, so the composer button crashed the input box; settings.get() was removed; /enhance read a session id the agent no longer exposes). Rewrites default to reasoningEffort off, which measured 252 output tokens for a draft where the model default spent 2897, and a Settings page for all 17 fields is bundled. Verified on a real 0.1.7-rc.2 host: activation, a live HTTP enhancement request, /enhance in the GUI, and the Settings page reading and persisting configuration. 204 tests.

Tiered compaction hub: replaces the single 80% compaction cliff with a configurable ladder (default 30/50/70/90) whose tiers escalate from gentle to maximum consolidation laws, folds a deterministic keyword index into every checkpoint so facts accumulate across cycles, and summarizes through a model chain — primary plus up to 3 fallbacks, each with its own reasoning effort. Adds a Compaction module sub-tab and a Settings card; toggling off always restores stock compaction.