dsh-plugin-custom-provider-enhancer
DeepSeek Harness plugin that enhances custom provider setup by auto-discovering models and auto-populating contextWindow, maxTokens, vision, and reasoning capabilities from models.dev
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DeepSeek Harness plugin that enhances custom provider setup by auto-discovering models and auto-populating contextWindow, maxTokens, vision, and reasoning capabilities from models.dev
MATLAB + ModelSim + Vivado full-flow tools for digital communication IC design tasks — a DeepSeek Harness plugin bundle.
Ranked subagent delegation for DeepSeek Harness: role-based model routing with failover, per-route reasoning effort, fork delegation, transparent model labels, and a visual route editor in Settings.
OpenRouter 免费模型面板:自动拉取实时免费模型清单(综合能力 1-5★ 分级、最优优先排序),一键安装进 openrouter 路由并切换当前对话模型(全局默认 + 会话级双写,推理档自动选该模型支持的最高档),免手动配置。
Auto-switch DeepSeek models for DeepSeek Harness: routes every model request to the vision model when images are present, to the pro model for complex tasks, and to the fast model otherwise; includes a switch_model tool for manual per-session overrides.
Enhanced DSH subagent tools with per-call model and reasoning-effort selection
DSH web plugin: splits the composer model selector into two independent controls — a searchable, favorite-marking model dropdown and a reasoning-effort slider — plus Ctrl+P (cycle favorite models) and Ctrl+T (cycle reasoning effort) shortcuts.
Use ZenMux models in DeepSeek Harness with OAuth login, model search, and protocol-aware routing
Image routing for text-only models in DeepSeek Harness: a global analyze_image tool (Kimi vision) plus automatic rewriting of pasted images into attachment references when the active model cannot see images.
Grok (xAI) subscription OAuth provider for DeepSeek Harness: one-click login in Settings → Models, token refresh, live catalog, streaming over cli-chat-proxy.grok.com
Register AllRouter as a DSH provider: one base URL and one key for Kimi K3, Claude, GPT, Grok, GLM, DeepSeek, MiniMax-H3. Switch models without managing separate providers; every call reports real cost.
Automatic model routing for DeepSeek Harness: a virtual `smart` model classifies every request by difficulty (hard / normal / easy) and by vision need, then delegates to the models you already configured in Settings → Models. 内置智能路由:三级难度 + 视觉自动路由,模型从「设置-模型」已配置模型中选取,虚拟 smart 模型零配置接入。
DSH 插件:给所有非官方(自定义)提供商的模型自动填充模型信息,包括:推理级别、最大上下文、输出上限与图片模态,数据来自 models.dev。
Context compression for small-context models on the DeepSeek Harness Web GUI: one click condenses the whole conversation into a few sentences, opens a fresh session in the same workspace, and re-injects the summary as the first message so a small model keeps working with a clean, compact context.
Model and reasoning-effort switcher: composer seat with an Off/Max effort slider over session.models / session.selectModel
DSH plugin: keyboard shortcuts to switch models and reasoning effort levels
One-click / auto model sync for DeepSeek Harness providers — reconciles stored model lists against each provider's /v1/models endpoint, with a Settings page toggle and conversation-open auto-sync.
增强的模型设置页插件:为自定义模型提供每模型推理强度(reasoningEfforts)编辑,OpenAI 兼容网关可直接勾选 low/medium/high 等档位;聊天模型选择器随之显示 Effort 菜单。
长任务编排引擎。接收任务→模块装配(steps.json 装配表 + minds.json)→两层审计→机械化执行。触发词:长任务、编排、拆解任务、多步骤执行、任务流水线、编排引擎。
Fill custom-provider model capabilities from https://pi.dev/api/models
Dense translucent-glass Universal Palette for DeepSeek Harness Web — federates Commands, Models, Sessions and Conversation Hits with deterministic ranking and verified public-contract interoperability.
DeepSeek Harness relay plugin for reasoning-effort autofill, /models sync, and a capability-aware Fast toggle.
DSH-native multi-AI group chat: the host (user) runs a chatroom of configurable AI agents with per-agent models, role cards, mute controls, and passive/active speaking modes — pure Node.js/Cordis, no Tauri/Rust
Model-facing analyze_image tool for the DeepSeek Harness: multi-modal image understanding via any OpenAI- or Anthropic-compatible vision API, with 8 analysis modes, local path / http(s) URL / data URL input, and a Web UI hint that guides image-incapable models to the reliable local-path route.