Plugins

Maintient un serveur de modèles TinyTitan local accessible depuis le harness : actualise la route llm-pi-ai à partir des modèles installés et monte un backend de compaction qui ne réfléchit pas.

Configurer les niveaux d'effort de raisonnement et défauts de sous-agents pour les modèles DSH personnalisés.

Contrôle par tour du niveau de réflexion (reasoning_effort) pour DeepSeek Harness : Auto planifie low/high/max selon l'historique récent des tool calls, ou permet de fixer un wire level (off/on/minimal/low/medium/high/xhigh/max), avec mappage wire personnalisé, garde de capacités par modèle et préréglages de fenêtre de contexte (64K–1M) ; sa capability card s'associe à [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable depuis dsh-market) pour tester le raisonnement avec des passerelles compatibles OpenAI (vLLM / LM Studio / auto-hébergées). La carte écrit les capacités llm-pi-ai, l'adaptateur pilote le wire (compat.thinkingFormat) et le plugin maintient la liste de takeover.

Interface de gestion du cycle de vie pour le fournisseur de modèles llm-pi-ai : créez, modifiez, supprimez, activez et désactivez des fournisseurs avec des en-têtes personnalisés et des clés API chiffrées en AES-GCM ; restauration sûre à la désinstallation des fournisseurs parqués, découverte de modèles distants avec écriture par lot, routage intelligent avec cinq stratégies, composites d'union/intersection, tests de connectivité par modèle et observabilité des requêtes.

Adds a reasoning-level editor with OpenAI and Anthropic protocol presets (llm-pi-ai), input-modality switches and a 1M/128K context and max-output preset to model rows in Settings.

让 DeepSeek Harness 自动重试商汤 429/QUOTA 等瞬时网关故障直到任务完成——启动时给所有 llm-pi-ai provider 热注入加固版 retryPolicy。

DSH Web GUI 模型能力配置：在「设置 → 模型」的模型目录编辑器内，为每个已配置的模型直接设置是否支持图像与思考等级（reasoning efforts），写入 llm-pi-ai 设置命名空间。

A full-page console panel opened from the sidebar, with eight tabs: an overview; a session list read from the sessions service (title, directory, running state, updated time, with filters); installed bundles and Loader entries from pluginInventory and pluginManager, with per-bundle enable switches; a plugin market listing public topic:dsh-plugin repositories from the GitHub search API; a model and provider editor that writes the llm-pi-ai settings namespace through remote.settings.mutate (switch a session model, add or edit providers and their model lists, and store API keys via remote.credentials, merging over the stored profile so fields the form does not expose survive an edit); MCP and skills tabs; and a usage tab that reads the host's loopback /api/dsh-usage/overview document. Services are declared through ctx.inject, so a deployment that omits one mounts without the console rather than crashing.

A dsh plugin that replaces the built-in llm-pi-ai and llm-deepseek adapters, the model selector and the Models settings page with self-maintained versions, tracks upstream @earendil-works/pi-ai, and adds quota/balance lookups plus a provider management UI

Declares per-model reasoning-effort ladders for third-party providers in the llm-pi-ai settings section, so DSH's stock thinking-intensity selector works on models the pi-ai catalog does not describe.

Adds per-route context window and compaction threshold fields to the Models settings page and a vendor-aware thinking-effort picker to the composer, writing llm-pi-ai capacities, reasoningEfforts, and a compaction-basic patch row.

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.

Provider health dashboard as a Settings page: read-only per-provider status, health (time-decayed from recent errors), thinking capability, max tokens and latest error, sourced from the llm-pi-ai config and the compat-healer error log.

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

DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.

LLM compatibility auto-healer: detects 400 errors from incorrectly declared model capabilities (thinking/reasoning) on transit/gateway providers, then idempotently patches `llm-pi-ai` config and suppresses thinking on the next request — no restart needed. Full settings UI for every pi-ai compat field.