dsh-feishu-integration
飞书与 DeepSeek Harness 双向集成:总结推送、回复路由、绑定 UI 与二维码 provisioning。 / Bidirectional Feishu integration for DeepSeek Harness: summary delivery, reply routing, binding UI, and QR provisioning.
118 results
飞书与 DeepSeek Harness 双向集成:总结推送、回复路由、绑定 UI 与二维码 provisioning。 / Bidirectional Feishu integration for DeepSeek Harness: summary delivery, reply routing, binding UI, and QR provisioning.
A lightweight, selectable smart-routing mode for DeepSeek Harness.
Adaptive task and risk routing, loop budgets, and progressive tool-result pruning for DeepSeek Harness
Multi-engine web search for DeepSeek Harness: an aggregated ctx.web search provider (auto-routing + sequential fallback, free engines keep search alive) plus a web_search_pro model tool with per-query engine choice, fan-out, batch and verticals — Brave, B
Feishu (Lark) bot bridge for DeepSeek Harness: two-way chat with your agent over the Feishu long connection, with a settings page for bot credentials and workspace routing. · 飞书机器人 ↔ DeepSeek Harness 双向聊天桥:飞书消息直达 DSH 智能体,回复自动回到飞书;设置页可换机器人凭证、切换工作区。
DSH plugin: a virtual model-router provider that aggregates every configured provider and model, routes each request to the model's currently active provider, and ships a settings page for per-model provider ordering and switching.
Zero-config local vision and realtime audio routing for DeepSeek Harness
Independent team coordination, dynamic routing, usage ledger, and Web panel for DeepSeek Harness
Windows multi-bash plugin for dsh: git_bash / wsl_bash model tools plus a shell-select executor routing the single ctx.shell seat across Git Bash, WSL and pwsh (pwsh stays the default).
Minimal emergency-maintenance terminal front-end for DeepSeek Harness: session picker + resume, inherited permission presets, live model/effort routing. · DSH 救援 TUI:WebUI 挂掉时的极简终端维护入口(会话续聊 / 权限继承 / 模型路由切换)。
Cross-provider second-opinion advisor for dsh. v2 (simple-extensible-configurable-stable): DEFAULT ROUTE = official DeepSeek (deepseek-official/deepseek-v4-flash); model param optional everywhere; one-page visual settings panel; honest audit trail. Scout mode = official + live web_search. OpenAI-compatible endpoint + consult tool + DSH_MODEL rerouting.
Persistent DeepSeek Harness scenario router with settings-driven model dropdowns, fallback routing, and Web UI settings.
Long-lived AI companions with WeChat channel routing for DeepSeek Harness
DSH LLM provider hub with a native model-configuration panel, gateway routes, model catalogs and live model discovery. Supports three wire protocols, custom User-Agent, model overrides and live routing without hand-editing settings.yaml.
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.
dsh plugin: routes ask-user questions to every interaction surface bound to the asking session (TUI panel, Feishu card, web, ...) — first answer wins
DeepSeek Harness (dsh) plugin for context-mode: in-process ctx_* tools (sandboxed code execution, FTS5 knowledge base) plus context-window routing guidance.
EN: Settings and default-route layer for official DeepSeek Harness subagents: session/role/global model routing with a composer selector. ZH: 面向 DeepSeek Harness Web 官方子代理的设置与默认路由层:会话/角色/全局模型路由与输入框选择器。
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.
Abstract interaction layer between DeepSeek Harness (DSH) and IM platforms (Feishu, WeCom, ...). Channel-agnostic hub with proven interaction patterns (dedupe, instant ack, wait-reply, followup wakeup, scoring-based model routing, approval gate) plus pluggable adapters for Feishu and WeCom.
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。