Plugins

DSH 代理路由快捷开关：把主进程通过全局 fetch 发出的模型 API / Files API 请求在「直连」与「本地 HTTP/SOCKS5 代理」之间按请求即时切换；显式指定 dispatcher 的 web-fetch-http 固定出口不受此开关影响。默认复用 DSH 宿主认证；独立回环 fallback 端点、token/session 和 CLI 控制需通过 enableFallback=true 显式开启。GUI 悬浮按钮、可选全局热键和系统通知，状态持久化在 $DSH_HOME/vpn

GitHub-style daily token usage heatmap for DeepSeek Harness Web

Auditable token ledger for DeepSeek Harness: folds the durable session log into restart-safe totals, recomputes the same numbers from the raw logs and diffs them, and turns usage into a bill by workspace, session, model or vendor, exportable as CSV or JSON.

Configurable LAN access for the DSH Web GUI: a settings tab binds the server to all interfaces, trusts only the addresses you configure, sets the browser session lifetime or removes the token login, and repairs the settings layer on non-loopback visits.

macOS menu bar app for the DSH web server, plus the host plugin it reads: the plugin writes the running server's port, PID and tokenized URL to ~/.config/dsh-launcher/runtime.json and removes it on shutdown, so start, open, restart and stop work from the status bar even for a server started from a terminal.

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.

会话注入门控：给 DeepSeek Harness (dsh) 加一个会话级上下文裁剪闸门，按会话取消/恢复插件贡献的 skill、tool、系统提示词段落——3 条影子通道、5 条本地路由、零依赖零配置。Per-session injection gate for DeepSeek Harness (dsh): trim skills, tools and prompt sections per session. Zero-config, zero dependencies.

本地优先的 Harness 运行遥测插件：记录请求、模型、工具与插件生命周期指标（延迟、Token、成本、错误、缓存），默认不采集内容。Local-first Harness telemetry plugin for DeepSeek Harness. npm 包 dsh-local-telemetry（dsh-telemetry 名已被第三方占用）。

dsh plugin: persistent whole-machine LLM usage ledger with a markdown /llm-stats report (GFM tables + emoji: tokens, cache hit, model/tool time, per-day bars)

Adds Token Market as an OpenAI-compatible model provider with DeepSeek V4 Pro, Kimi K3, and GLM-5.3.

Web UI for capturing and reviewing raw LLM requests, streamed responses, token usage and tool calls.

WPS / 金山文档 cloud-docs integration for DeepSeek Harness: official SkillHub MCP (https://mcp-center.wps.cn/skill_hub/mcp), custom browser authorization (auth-guide + exchange-poll token), WPS cloud-doc tools under mcp__wps__*, wps_status/wps_oauth_start/wps

Sakura-afternoon pastel skin for the DSH Web UI: light and dark sakura token palettes, a click-through falling-petal overlay with a soft vignette, a header petal toggle and a General-settings master switch.

Self-tending living memory in one local SQLite file — a nightly patrol dedupes, merges, decays and cross-links entries on its own, with seven-signal RRF hybrid recall (FTS5 + jieba Chinese-first tokenization, optional vector KNN, graph PPR), a typed knowledge graph, conflict detection instead of silent overwrites, and web telemetry panels.

DeepSeek Harness dashboard: per-session statistics (tokens, timing, tool and skill calls) as a dedicated Statistics view tab. Compatible with dsh v0.1.2-alpha.1 ~ rc.1 (see README).

Tencent CodeBuddy model provider for DeepSeek Harness that signs in with browser OAuth instead of an API key, lists the CodeBuddy model catalog with the context, output, tool-calling, reasoning and image capabilities of each model, keeps multiple accounts with automatic failover to the next usable one, shows remaining quota in the composer with a token and credit usage panel, and completes automatable CodeBuddy growth tasks per account with an execution log. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-codebuddy`.

Balance badge that follows the active model provider: official readings for DeepSeek, Qwen Token Plan and Aliyun BSS, plus Moonshot and OpenRouter endpoints not yet key-verified.

Token-cost pipeline for DeepSeek Harness: pressure-aware layered compaction (lossless projection below 40% context pressure, LLM summarization above), per-agent tool allowlisting, long-text-to-image with vision summarization, and a /token-status command tracking pressure, tiers, and saved tokens.

Multi-agent frugality defense plugin: read-ledger dedup metrics, compaction-immune rules, completion gate, cheap-model review lane.

Windows-only tray monitor for DeepSeek Harness: deploys and manages the standalone DshTaskWatcher tray app - four-state tray icon (gray=disconnected, green=idle, amber=running, red=attention), a per-task panel with live duration/tps/tokens, and completion & outcome notifications. Start/stop switch in Settings > Plugins; the watcher is an independent process that survives DSH restarts.

Context trimmer: lists the current session's context entries with role, preview and ≈token estimate (cl100k), highlights over-threshold items, and removes selected entries exactly without LLM summarization.

Peak/off-peak billing cost dial for the DSH Web GUI: session token usage billed at the official DeepSeek peak and off-peak rates, a rate dial with a model-colored needle and switch countdown, a balance ring with a low-balance alarm, drag-to-resize, and a minimized status-lamp mode.

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