Plugins

Switchable web-search provider for DSH: native DeepSeek web search or an OpenAI-compatible custom backend. Installation automatically routes DSH web searches to the plugin; only provider, API key and model are required. Published on npm as @lp181818/web-search-advanced@0.1.3.

Web search provider powered by ZAI GLM MCP: search and fetch via Open BigModel API with credentials auto-injection from ~/.dsh/.credentials.yaml or environment variables — no API key in config files.

Deterministic Reasoning Engine (DRE) for dsh: dre__* tools for knowledge verification (three-stage discrimination), deterministic cognition loops, constraint solving, mental models and synapse memory - strengthens information certainty.

Codex-shaped coding tools and agent presets for GPT models on DeepSeek Harness: exec_command, write_stdin, apply_patch and view_image, plus OpenAI Chat Completions and Responses API routes, bridged to DSH-native plan, ask, approval and compaction. Long-running commands become DSH background jobs with bounded head/tail output readable through job_output, and each subagent type can be pinned to its own preset, provider, model and reasoning effort.

Native DSH foundation bundle that registers a persistent default workspace, provides paged read-only inspection of plugins, skills, memory, sessions, storage, settings, credentials, and DSH_HOME files, and synchronizes rich CLIProxyAPI model capabilities into native provider settings.

Add missing reasoning-effort declarations to custom pi-ai models through DSH settings, enabling the native effort picker and handling models added later.

Model Health panel in Settings: lists every model configured in settings.yaml and batch-tests availability and latency for each.

Qwen Token Plan CN Responses provider for DeepSeek Harness via the OpenAI Responses API, with Qwen server-side tools, DSH local function tools, text/reasoning/tool-call multi-turn history, persisted image attachments, and a per-release official model catalog snapshot.

LLM request retry plugin for DeepSeek Harness: when a model request fails with a configured HTTP status code, machine code, or provider field=value match, it sleeps for the per-rule delay and re-issues the request automatically, so subscription quota and rate-limit errors (429 / insufficient_quota) do not interrupt a run.

Token usage dashboard for the DSH web GUI — today/week/month totals, per-model breakdown and a stacked 30-day chart, with a 4-language UI.

Shows MiniMax Token Plan usage beside the DSH Web UI model selector with compact 5h/7d bars, click-to-refresh, automatic idle and heartbeat refreshes, and endpoint fallback. Reuses subscription keys configured under Settings → Model and appears only for MiniMax Token Plan providers.

Provider balance and quota status bar for DSH Web, with model capability settings, external JSON health monitoring, visual field binding, and per-model status details.

Cumulative token usage tracking for DeepSeek Harness, with per-model and per-day breakdowns, a settings-page dashboard and an online-changeable data directory.

Local-first personal usage insights in Settings, with 1/7/30-day token heatmaps and a 30-day calendar, token composition, model mix, and skill-call status.

Aipx toolkit: skills plus a Hub Console that fronts every MCP server with ~4 meta tools — server pool health, per-tool enable/disable, a tool catalog, and a search playground showing exactly what mcp_search hands the model.

A Codex-style right side panel for the DSH Web UI — session artifacts browser (live file tree, scan include, preview, reveal) plus a side chat that forks the current session with a model picker, human-pacing scheduled runs and smart send-to-bottom scrolling.

Keeps a local model's context at a size the GPU handles well: measures prefill speed on every request and, before each step, warns or compacts early on a hard token ceiling, an observed time-to-first-token budget, or a predicted cold-prefill budget; /context-budget shows the numbers and the cost of compacting now.

AI-generated curiosity & trivia plugin for the dsh web GUI (Curio in the English UI): 「开始探奇」 generates a fresh batch of unexpected knowledge (excluding everything already seen), each item unfolds into two deeper layers plus similar knowledge points, and 「探奇清单」 keeps the full history (batch, items, layers, similar points) in browser storage. Reuses the host LLM channel with zero config; when no model is available, a DeepSeek API key can be pasted into the panel. Output language follows the DSH UI language (zh/en).

Community Codex provider for DeepSeek Harness with ChatGPT OAuth, Codex models, image input, quota display, per-session Fast and transport controls, and safe stream recovery.

Use local MLX-LM or MLX-VLM models in DeepSeek Harness through a loopback OpenAI-compatible provider, with optional DSH-owned server startup.

Token usage statistics plugin for DeepSeek Harness - today's token consumption by model, cache hit rate, 7-day trend chart, optional header badge, persistent storage with auto cleanup.

一个DSH插件，为自定义模型配置输入类型(input)、推理模式（reasoningEfforts）

Free anonymous OpenCode Zen models inside DeepSeek Harness (DSH): native LlmAdapter, no API key, no child process; optional Go sidecar included

dsh plugin: keep llm-pi-ai provider routes' model lists in step with the pi.dev gateway, written through the official settings seam