Plugins

Command Code subscription tiers (Go / GOAT / Pro / Max) published as `llm-pi-ai` route profiles rather than an adapter: the live /provider/v1/models list and the plan page capability catalog are joined, each model lands on the OpenAI Chat, OpenAI Responses or Anthropic Messages route the gateway's own supported endpoints call for, switching tier deletes the routes the previous one generated, and the same credential drives five-hour and weekly usage windows, credit balances and a web-search provider.

In DSH Desktop, see the tokens, cost and speed of every request, compare spending by model and provider, merge different names for the same model, check balances and compare real model performance.

Exposes the models already configured in DeepSeek Harness through an OpenAI-compatible gateway, so other local projects can call them with any standard OpenAI client. Multiple provider candidates share one named group with ordered, balanced or random dispatch; upstream failures before any output switch to the next candidate transparently, and rate-limited requests are retried after the provider's backoff. Per-candidate call statistics (attempts, answers, failures, token/TTFT totals) appear as badges in the settings page, and daily aggregates persist to a local file with a 30-day heatmap and trend view. Until you create a key in the UI, the endpoint accepts calls from anyone who can reach it; keys (stored as SHA-256 hashes) then turn authentication on, and the endpoint stays locked even after the last key is revoked. Exposing the optional LAN listener without a key leaves the port open to the whole network. Runs on DSH 0.1.2-rc.1 through 0.1.7-alpha.1 and later.

Adds a Hindsight configuration and status dashboard to the DSH sidebar for connection, model, embedding and bank settings, with health checks and ownership-checked local service controls; memory tools are provided by the separate official integration. Hindsight itself is a separate service and is not installed by this plugin.

Shows subscription quota and account balance beside the DeepSeek Harness model selector for 28 provider entries, with a shared settings page and a read-only quota tool.

Adds hover Recall / Delete / Delete-onward actions to every message row: removes content from the model context and the transcript together via durable append-only tombstones, with an empty-content guard so old deletions can never break strict providers. Tested on the DSH 2.0 desktop.

Think tank: a built-in library of 161 classic mental models (decision/strategy/cognition/psychology/communication/learning/system/innovation/execution) — enter one question and several selected models analyze it in parallel via AI, producing a synthesized report with consensus, disagreements, blind spots and an action checklist; supports both automatic analysis and prompt round-trip import.

Up to 5 clickable next steps under every reply — one click sends that sentence as your message. No extra model call, duplicate angles dropped, the recommended one moved to the top, and hovering shows the full text. A small button on the right fills the composer (clearing it first) so you can edit before sending.

Route each task to one model and its review to a different one, with qualification evidence, failover and a durable journal.

Usage dashboard: offline-scans session logs to chart daily/weekly/monthly tokens, estimated costs, model/tool/skill/command leaderboards, output speed, working hours and quality metrics; gridstack+ECharts cards are drag-and-drop composable, with custom formulas and AI arrangement (prompt round-trip import).

Settings-UI editor that assigns per-teammate model and reasoning-effort rules for DSH native agent teams, resolved at spawn time by wrapping SubagentRuntime.startContinuable. No official files are modified.

Active wait for background subagents in DeepSeek Harness: registers a wait_subagent model tool that blocks until a named background continuable subagent settles, then returns its stop reason and closing message — optional timeout, membership gate rejects unknown ids, event-driven with zero polling. Closes the gap between run_in_background fire-and-return and the async settlement notice; wait for a background subagent without polling list_agents.

Branch chip in the composer tool row that switches, creates, and refreshes workspace branches, commits a checked subset of changed files with a message the session's own model writes from the diff, and pushes the current branch.

On-demand skill tools for DeepSeek Harness: registers skill_search / skill_load / skill_ref so the model searches a staged skill library first and loads a skill body only when it needs it, keeping the library out of the resident session catalog and out of every turn's context; adds a Skills tab to the conversation view ring that reads back the whole session and lists which skills were actually loaded, and in which turn. Zero dependencies, and the records render client-side only, never entering the model's context.

PC environment diagnostics & port control board: zero-dependency inspection of system, CLI toolchains, active listening ports with hover-to-kill release, and model key readiness. No external calls, zero plaintext secrets.

Discovers OpenRouter's free models, measures their real speed and context size, and writes them into the DeepSeek Harness model list fastest-first, with speed and context in each display name, plus a Settings section to configure and run it.

Advisor reviews that converge over rounds, an engineering mode whose writes require a design token, escalation of a task to a stronger model, and parallel multi-model consultation; a settings page edits the model routes, timeouts and budgets.

Mounts the mcptoon MCP gateway as one stdio server, so the agent discovers the tools of every MCP server you have configured through mcptoon's compressed view instead of full JSON schemas on each turn. Ships a doctor CLI that checks the mcptoon executable resolves and prints the exact command/args override when it does not.

FriendliAI serverless LLM adapter for DeepSeek Harness — OpenAI-compatible chat completions with dynamic model discovery and reasoning support

dsh plugin + agent preset that replicates opencode + oh-my-openagent (omo): opencode's toolchain and system prompt, omo's multi-role subagent orchestration, and browser-side omo role selection + per-role model/fallback settings.

Pairs the running executor with a stronger reviewer model through zero-parameter advisor() calls and step-based patrol checks, returning plan, correction, or stop guidance.

Enhanced model selector for the DSH composer with searchable provider groups, keyboard and accessibility support, and an inline reasoning-effort slider.

OpenCode Zen 免费模型面板插件：实时展示 OpenCode Zen 最新免费模型，一键置入 DSH 模型选择器，无需密钥即用（共享字面量密钥由宿主注入）。后台支持总开关 / 单模型下架管理。

Free Kilo Gateway and OpenCode Zen models for DeepSeek Harness (DSH) via native dsh-llm adapters.