Models & Providers

Cohere provider for language models, embeddings, and reranking through Cohere's native APIs in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.

Anthropic provider using the native Messages API for language models in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.

Aggregates all local Trae accounts into one auto-failover model provider, with manual and automated daily check-in, credits and expiry monitoring, and a model selection settings card.

Two-level model routing: pick the best model group first, then the best channel within that model; a failure switches channel before switching model. Preference mode pins one model across its channels, a status bar under the composer shows the live model, channel health and the day's token usage, and a speed/intelligence report can be imported as the routing prior. Exposes a model_orchestrator tool and a /route command.

Ranks the models a DeepSeek Harness install already discovered by measured connectivity and speed, and switches to the next candidate inside the same turn when the one in use fails without producing any output. Ships a settings page with a grouped model list, per-model and per-channel switches, and a quota-aware cooldown that rests an exhausted model until the next day.

Adds the Liquid Inference auction exchange as a model route, with liquid.auto and its ranking variants, and four tools that read offers, markets, routers and job receipts. Requires a Liquid Inference API key (LIQUID_API_KEY, spend scope).

Routes outbound model traffic per provider host or per model ID through chosen proxies, loopback or direct, configured from a Plugins settings page.

Derivative of dingminhua/dsh-subagent-default-model (do not install both): routes subagent delegations by role with candidate pools, cross-provider failover and fork window slicing; shows running subagents in a header panel with duration and token counts; supports mid-run and batch model switching and exposes routing tools the model can call. Subagent pages also carry a context / usage stats strip (context occupancy, output speed, cache hit rate, token buckets) and a model menu limited to that page’s whitelist — a pick outside the whitelist is substituted with an allowed model instead of running unlisted.

Starts the WorkBuddy Panel backend (wb2api.exe from workbuddy2api-panel, Windows) with DSH and on exit stops only the process it launched; optionally syncs the backend's /v1/models into the workbuddy provider, and its settings card picks models, shows credit multipliers and installs, updates or rolls back the backend from checksum-verified GitHub releases.

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.

Text-to-image and image-to-image for a model that cannot draw, through any OpenAI-compatible image API, with multiple providers and an automatic fallback model.

Pick the model your subagents run on — with a reasoning-effort ceiling and an output-token cap — enforced in code on every child DSH starts, whichever tool starts it.

Connects Trae enterprise models to DeepSeek Harness from a personal access token alone, calling llm_raw_chat directly with no trae2api or traecli process; fetches the model catalog from upstream on startup and shows remaining quota for personal packs and enterprise seats.

AI provider runtime and configuration UI for shared credentials and embedding, reranking, speech, and image generation services in DSH.

OpenAI provider for language models, embeddings, text-to-speech, speech-to-text, and image generation in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.

Time-based model routing: a settings panel defines weekday peak and off-peak windows and the provider/model each one uses, the choices are read from the harness registry (API keys and subscription logins alike), and a global switch decides whether that policy sets the model and reasoning effort of every request. The switch is independent per session, each session row carries a light showing its own state, and the settings panel names the model in force right now and why. A day no window matches — every weekend and holiday — uses the primary model of the first plan; the advanced thinking model is a separate axis, used only when a session itself asks for max reasoning.

Subagent model control: a Jev classifier labels each turn, and the subagent request itself is rewritten to the provider, model and reasoning effort that the label maps to, at the agent/request hook; a per-session inherit/auto/manual selector, one prompt per role injected ahead of the task, and offline replay of past verdicts.

Apply the current session's model to every other session in one click, from a control beside the composer's model picker.

Optional JEV decision mode with deterministic project reads, bounded semantic selection, native authorization checks and desktop credential settings.

Connects Trae CN desktop app models to DeepSeek Harness with no OAuth flow: reuses the desktop sign-in, exposes 17 models (including deepseek-v4.1-flash) with consumption-rate badges and reasoning-effort mapping.

OpenCode Go in the DeepSeek Harness model list, providing subscription quota display, model discovery, session affinity, and more.

DeepSeek Harness (DSH) plugin for llama.cpp docker panel "llamapad" / llamapad 面板的 DeepSeek Harness 插件

Use a PackyCode (PackyAPI) API key in DeepSeek Harness through a built-in multi-protocol model route with key rotation and balance display

Per-provider (account) proxy routing for DSH. SOCKS5/HTTP proxy pool with account-level routing based on API keys. Supports forced direct connections and hot-swapping built-in web tools proxies. Managed via a graphical settings page in DSH.