Plugin

Mantiene raggiungibile dall'harness un server locale di modelli TinyTitan: la route llm-pi-ai viene aggiornata dai modelli installati ed è montato un backend di compaction che non ragiona.

Configura i livelli di sforzo di ragionamento e i default dei sub-agent per i modelli DSH personalizzati.

Controllo per round del livello di ragionamento (reasoning_effort) per DeepSeek Harness: Auto pianifica low/high/max dalla cronologia recente dei tool calls, oppure permette di fissare un wire level (off/on/minimal/low/medium/high/xhigh/max), con mappatura wire personalizzata, guard delle capacità in base al modello e preset della finestra di contesto (64K–1M); la capability card per modello si abbina a [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installabile da dsh-market) per provare il reasoning con gateway compatibili OpenAI (vLLM / LM Studio / self-hosted). La card scrive le capacità llm-pi-ai, l'adapter guida il wire (compat.thinkingFormat) e il plugin mantiene la lista di takeover.

Interfaccia di gestione del ciclo di vita per il provider di modelli llm-pi-ai: crea, modifica, elimina, attiva e disattiva provider con intestazioni personalizzate e chiavi API cifrate con AES-GCM; ripristino sicuro alla disinstallazione dei provider parcheggiati, individuazione di modelli remoti con scrittura in batch, routing intelligente con cinque strategie, compositi di unione/intersezione, test di connettività per modello e osservabilità delle richieste.

Aggiunge alle righe dei modelli in Impostazioni un editor del livello di ragionamento con preset dei protocolli OpenAI e Anthropic (llm-pi-ai), interruttori per la modalità di input e un preset di contesto 1M/128K e di output massimo.

只填 Key 的服务商预设：50 家渠道为 DSH 一键写入官方 llm-pi-ai 路由与凭据（插件），并可写入腾讯 WorkBuddy、OpenCode（Key 走其 auth.json）与 cc-switch 的配置（CLI）；核心为纯 JS，可被更多应用的外壳复用。

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 through a safe-zone download with a one-click enable toggle, and adds provider quota and balance lookups plus a provider management page.

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。

Configurazione delle capacità dei modelli nella GUI web di DSH: nell'editor del catalogo dei modelli di «Impostazioni → Modelli», imposta direttamente per ogni modello configurato se supporta le immagini e il livello di pensiero (reasoning efforts), scrivendo nel namespace delle impostazioni llm-pi-ai.

Make DSH llm-pi-ai opencode routes pass Zen free-tier gate: opencode User-Agent + canonical ses_ session + bash/read tools. Scoped to opencode.ai only.

Declares the OpenCode Go and Command Code route wire protocol and endpoint (so the API address never has to be typed), adds the DeepSeek V4.1 models to the OpenCode Go route and puts them first, completes the Command Code model list from its public catalog, and attaches a per-conversation x-opencode-session header to OpenCode requests (fixes 400 MissingSessionID).

Brings the Codex (ChatGPT Plus/Pro) subscription already signed in on this machine into DSH. It (1) shows the 5-hour and weekly windows with their reset times and the remaining reset credits in a sidebar panel, with one-click reset that consumes a credit; (2) registers the subscription route in llm-pi-ai (openai-codex) when the quota is read, so the Codex models appear in the model picker; (3) refreshes the OAuth access token before expiry and writes it back atomically, so no key has to be replaced by hand; and (4) adds a codex tool that delegates a task to the local Codex agent. No API key has to be entered.

Declares the wire protocol for the opencode-go route so models the installed catalog does not describe resolve, adds the DeepSeek V4.1 models to that route when they are missing, and attaches a per-conversation x-opencode-session header to OpenCode requests.

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.