Plugins

DIT.ai provider bundle for DeepSeek Harness: installs 29 OpenAI Chat Completions models and 10 Anthropic Messages models from one DIT_API_KEY, with protocol-specific thinking configuration.

Metadata-first runtime profiler for DSH agents: turn/step traces, model and tool wall-time timelines, provider usage, retries, errors, and live or historical sessions.

Provider-neutral CI/CD capability for DeepSeek Harness with GitHub Actions support, bounded failure evidence, source-aware diagnostics, and approval-gated rerun/cancel controls.

Auto-discovery vision bridge for text-only DeepSeek Harness agents: automatically finds an image-capable model from your configured providers and returns picture descriptions as plain text via a vision tool.

Auto-fills reasoning-effort levels, context windows, output limits and image modality for models from unofficial (custom) providers, with data from models.dev.

Connect a sub2api gateway to DeepSeek Harness: OpenAI-compatible multi-provider routes (OpenAI / Claude / Grok / Gemini) behind one base URL, with per-key model discovery, usage lookup, and global vision/image tools.

Token usage statistics for DeepSeek Harness. Per-channel usage with balances and plan quotas for mainstream providers, CNY cost estimates, and daily charts — a settings-sidebar section.

Bottom-right 余额 badge for the DSH Web UI: on expand it fetches the currently-selected provider's OpenCode Go plan limits or DeepSeek prepaid balance, plus local token usage and pricing-based spend estimates.

Persistent provider-reported token usage totals with per-session, per-model, and daily activity statistics.

Vendor-based usage dashboard: per-provider token/cache/output KPI, a 53-week heatmap, trend chart with hourly "today" view, model drilldown, cost estimation, CSV export, and health cards (TTFT, generation speed, peak context, error rate).

Multi-provider LLM API balances under the chat input, with presets for DeepSeek, OpenRouter and SiliconFlow.

Command-Code-Provider-Plugin für DeepSeek Harness (dsh) — funktioniert mit jedem Command-Code-Tarif, einschließlich des 1-Dollar-Go-Tarifs; nutzt den Studio-Authentifizierungs-API-Schlüssel über /alpha/generate, nicht die Provider-API

Auf fastCRW gestützte Websuche- und Fetch-Provider für DeepSeek Harness (ctx.web)

Auf SearXNG gestützter Websuche-Provider für die DeepSeek-Harness-Web-Schnittstelle (ctx.web) — selbst gehostete Metasuche, kein API-Schlüssel, keine Modellrunde pro Suche

DeepSeek-Harness-Plugin: auf AnySearch gestützter Websuche-Provider (aggregiert exa/tavily/firecrawl über ein einziges MCP-Gateway), registriert in ctx.web.

Unterstützung für einen benutzerdefinierten Claude-Provider in DeepSeek Harness

Tavily-Suchanbieter-Bundle für DeepSeek Harness (dsh): registriert einen WebSearchProvider in ctx.web

DSH-Provider-Plugin für den Codex-Zugriff über ein ChatGPT-Abonnement.

Schreibgeschütztes Audit der Zugangsdaten-Hygiene der Agentenflotte: Berechtigungen von Zugangsdaten-Dateien, eingebettete Zugangsdaten in Git-Remotes (in der Ausgabe maskiert) und Anzahl wörtlich vorkommender Provider-Token; abhängigkeitsfrei und deterministisch.

Manual model probe for DeepSeek Harness: a session-view tab where you pick provider, API type, model and route, then send one real raw HTTP request over openai-completions, openai-responses or anthropic-messages — streaming or not — and read latency, TTFT, HTTP status, token usage and a three-layer diagnosis chain (API request / model response / strict check) on one screen, with errors in plain language.

A DeepSeek Harness bundle of the 25 promoted mattpocock/skills with a native agent preset, an invocation-aware skill provider, and a light grilling-to-implement bootstrap.

Takes over the built-in web_search and web_fetch providers with Tavily, each behind its own toggle: a key pool with balance-aware scheduling that reads real credit balances from /usage, failover with hard exclusion of cooling or exhausted keys, and call history with a 14-day credit chart.

Model switching and reasoning-effort control for DeepSeek Harness: set_model and list_models agent tools let the agent autonomously change its provider, model or thinking depth (reasoning effort) mid-task with a mandatory reason, a provider whitelist and a context-window token-pressure guard, the active model is injected into the runtime context, and Plan Mode auto-transition switches to a configured planning model on entering plan mode and restores the previous execution model on exit.

Replaces the chat input model picker with a provider-grouped, collapsible list: groups models by provider, folds vision-bridge mirror providers back into their upstream, and carries the reasoning-effort options each model declares in settings. Tested on DSH Desktop only; the DSH web build is untested.