dsh-ai-wallet
DSH plugin: one-click account balance & quota panel for multiple AI providers (DeepSeek, Zhipu GLM, Z.ai, Moonshot, MiniMax, StepFun, SiliconFlow, OpenRouter, xAI).
122 results
DSH plugin: one-click account balance & quota panel for multiple AI providers (DeepSeek, Zhipu GLM, Z.ai, Moonshot, MiniMax, StepFun, SiliconFlow, OpenRouter, xAI).
DSH Web plugin: OpenRouter account balance, per-key spend and alert thresholds under the composer, with hover trend charts.
DeepSeek Harness plugin: route an agent request to a vision model (deepseek-v4-flash-vision-exp) when the user message contains an image, and keep the original model otherwise.
DSH plugin: OAuth sign-in for Claude, Codex, Grok, Antigravity, OpenRouter, Agnes AI, Qwen, Spark, ERNIE — expose subscription LLMs as DeepSeek Harness providers
Task delegation router for DSH: main model plans/verifies, sub-models search/browse/code/verify.
DeepSeek Harness global account-balance card: live session/job status plus GLM / KIMI quota windows and OpenRouter / DeepSeek balances, pinned to the shell overlay bottom-right
Dedicated AnyRouter Claude Code and Codex Responses adapter for DeepSeek Harness
Rebuild DSH's pi-ai model catalogues at runtime: fetches the live model lists from OpenRouter, OpenCode Zen, Fireworks, Groq, Together and DeepSeek and patches the harness's installed pi-ai MODELS registry, so the model picker and discovery show fresh models without hand-adding custom models.
AI Quota and Token Usage Monitor for DeepSeek Harness (DeepSeek, SiliconFlow, OpenRouter, Cursor, Codex, Antigravity, Copilot, Kimi, GLM, Qwen, OpenCode)
Display companion for dsh-vision-router: keep Auto Vision routing, and put a square picture button on each original model row. Does nothing unless dsh-vision-router is installed.
dsh plugin: routes ask-user questions to every interaction surface bound to the asking session (TUI panel, Feishu card, web, ...) — first answer wins
Bioinformatics skill router plugin for DeepSeek Harness: searchable index over a large skill library, an anysearch web-search provider, remote-exec tooling, and scenario guidance for literature review, bio-data analysis, and remote training
A DSH-native OAuth multiplexer for subscription-backed model providers
Provider-aware account balance chip for the DeepSeek Harness web sidebar: DeepSeek, OpenRouter, Moonshot/Kimi, Zhipu/GLM, and MiniMax.
DSH 对抗多智能体三层失效的防御插件:读取台账去重度量(read-ledger)、免疫压缩规则区+完成机械门禁(immutable-core+completion-gate)、低成本审查lane(role-router)。零外部依赖,注入即用。
DSH plugin: declare VIRTUAL model ids bound to a pluggable routing algorithm (priority, round-robin) over real provider/model candidates; using the virtual id transparently dispatches to a real provider chosen by the algorithm, with failover.
Model Hub for DSH Desktop — a lightweight model/provider integration toolkit. Installs Ox Alpha (stealth/ox-alpha via OpenRouter) with one command and adds custom-model, custom-provider, health-check and model-discovery tools. 一个 DSH 插件:装好 Ox Alpha,并支持自定义模型/Provider 接入、健康检查与模型发现。
DeepSeek Harness plugin: analyse images out of band with a vision model — pasted images are digested into text before admission and a describe_image tool covers image paths, all without ever changing the session's model.
DSH Web 侧边栏余额与用量监控插件,支持 DeepSeek、Kimi、智谱 GLM 和 TeamoRouter。
DeepSeek Harness plugin: keep every model request inside an allowed set per provider, redirect or refuse the rest, and warn when a request would make a llama.cpp router reload models
dsh 外挂式网络路由:按 hostname 给 dsh 请求分流——勾选的域名走本地代理(Clash 等),其余直连。内置嗅探,自动扫描 dsh 访问过的 hostname,设置页勾选即生效(保存即热生效,免重启)。纯外挂:dependencies 空,运行时零 require,全靠宿主 ctx 注入;不碰 settings.yaml provider 配置。
DSH Effort Router(模型分流):按每一轮请求的难度自动选择模型与思考强度——简单问题走便宜快模型,难题才叫强模型。规则判定零 token,灰区交给一次小模型裁定,图片档强度随难度升降(low/high/max)。每轮请求级覆盖,不改你的会话选择与默认模型。
Unified real-time quota dashboard for DeepSeek Harness: OpenCodeGo windows, DeepSeek balance, OpenRouter credits, SiliconFlow and Moonshot balances in one collapsible panel — auto-detects configured credentials, no keys leave the host.
Flash-only reasoning-effort routing for DeepSeek Harness: classifies each step by its shape and sets the DeepSeek flash model's reasoning effort to match. The model never changes; effort max is opt-in.