Plugins

Sélecteur de modèle recherchable et triable pour l'interface Web DeepSeek Harness — groupes de fournisseurs, favoris, prix models.dev, fenêtres de contexte, coût en jetons par tâche en direct et filtre de modèle local. Installation en une commande : dsh plugin add dsh-model-garden.

Détecte automatiquement le fournisseur du modèle actuel (7 intégrés) et affiche son solde ou son quota dans la ligne de saisie de la zone de composition, avec des points de terminaison personnalisés pour les fournisseurs non pris en charge.

Configuration des capacités des modèles de l'interface web DSH : dans l'éditeur de catalogue de modèles de « Paramètres → Modèles », définissez directement pour chaque modèle configuré la prise en charge des images et le niveau de réflexion (reasoning efforts), en écrivant dans l'espace de noms de paramètres llm-pi-ai.

Achemine les requêtes de l'API de modèles de DeepSeek Harness via un proxy HTTP local, avec sondage de ports locaux et une section de paramètres.

Remplit automatiquement les niveaux d'effort de raisonnement, les fenêtres de contexte, les limites de sortie et la modalité d'image pour les modèles de fournisseurs non officiels (personnalisés), avec les données de models.dev.

Publishes whichever model the profile has selected in chat or on the Models page as an OpenAI-compatible HTTP endpoint: /v1/models, /v1/chat/completions (streaming SSE and non-streaming), /health. A request may name any routable model; one that omits `model` gets the current chat selection, so switching model in chat switches the endpoint. Switched on, it can also lend the model the Harness tools switched on individually, run those calls through the Harness tool runtime and feed results back up to a round limit. The listener is the plugin's own, so 127.0.0.1, 0.0.0.0 and a NAT-forwarded port all behave the same with no change to the request path. Settings cover bind address, port, API key with a generator, fallback provider and model, reasoning effort, CORS origin and timeout.

Model list control for DeepSeek Harness: hide any model from the selector, give it your own display name while keeping the provider billing rate, and arrange the order with arrows. Search, per-provider batch toggles, one-click restore. Display only — no provider configuration is rewritten.

Recognizes a model ID in the DeepSeek Harness model catalog and fills that row's context window, input modalities and reasoning levels as editable suggestions, from a bundled offline rule table covering 33 vendors.

A row of model preset buttons above the composer: left-click switches the session to that preset's provider, model and reasoning effort, right-click opens an editor for it, and each preset can carry a custom name instead of the model id. The editor reads the session's live model catalog, and presets are stored locally.

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.

Shows Provider/Model in the DSH Web composer model selector trigger; the dropdown list and its search are unchanged.

Shows the provider behind a session's current model as a compact badge in the DSH Web composer tool row, left of the model selector.

Replaces the chat model picker with a collapsible provider-grouped list (640x720 max) that shows each model name, provider name, provider ID and exact model ID, plus a manually managed uncommon list and a separate favorites list. Classification is user-driven only: no usage tracking and no auto-sorting. Search covers model name, model ID, provider name, provider ID and account notes.

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.

Replaces the composer model seat with a search-first picker and adds a model management page: create and edit llm-pi-ai channels, choose which of an endpoint's models exist, and declare per-model thinking ladders and capabilities.

Fills missing model parameters from models.dev, imports models from configured providers, and writes per-field overrides for built-in models, with prices in USD or native CNY set as manual rates or a reference price times a multiplier.

DeepSeek Harness 的模型fallback链插件：以更智能、更人性化的方式配置fallback链。当主模型撞限流、额度耗尽，或者5xx超时的时候自动向下改派模型，回合不中断。设置页可视化编排：拖拽排序、按计费或者上下文窗口排序候选模型、失败模型自动冷却、管理多条链的停用和启用。零依赖、无构建步骤、默认不介入任何请求。

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.

Installable wrapper for the DSH plugin in dsh-kdczyz-mode/: WorkBuddy model pool + Trae connector + Qoder account pool as three independent providers, plus one settings page with six tabs (XD Pool / Trae config [provider switch, account binding, model sel

One authenticated OpenAI-compatible endpoint (built on CLIProxyAPI) for dsh and other tools: gathers WorkBuddy, OpenCode Zen, local Ollama / LM Studio and CLI subscriptions such as Codex and Kimi, signs in from the dsh page without installing their CLIs, and syncs the picked models into dsh grouped by source. The settings page has a switch per source with free / paid tags, plan usage, API keys with 24-hour stats, per-source model picking, and update / uninstall. Runs on macOS, Linux (including next to dsh-vps) and Windows.

独立模型数据源与官方清单发现，基于证据规划 pi-ai 补缺、待确认与宽限移除；可恢复目录事务、内容与修订所有权校验，附 provider 设置及监控。

English-only fork of dsh-model-router. Routes each agent step across a configurable model pool and adjusts reasoning effort based on task complexity, tool failures, and cost.

A grouped, searchable replacement for the DSH composer model selector.

Model relay station for DeepSeek Harness (模型中转站): serve any registered DSH LLM provider (e.g. @tnnevol/dsh-codebuddy) over an OpenAI-compatible /v1 API, so other projects can call those models with a standard OpenAI client.