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Agent Selector — DSH Plugin for DeepSeek Harness
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dsh-agent-selector

Agent Selector

Agent Selector: Like a model selector, choose a delegation target and specific model next to the input box, then assign conversation tasks to external agents (Codex CLI / WorkBuddy built-in model promotional-pricing automation bridge / WorkBuddy custom model direct connection / Claude Code) for exec

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:jiang12345-code/dsh-agent-selector#17f83a5ebb8fcb773e97d16b2aebf3ca28555ddc
READMECompatibilityVersions

Description

Agent Selector: Like a model selector, choose a delegation target and specific model next to the input box, then assign conversation tasks to external agents (Codex CLI / WorkBuddy built-in model promotional-pricing automation bridge / WorkBuddy custom model direct connection / Claude Code) for execution, with results returned to the DSH conversation. Includes the agent_dispatch tool, a two-step composer dropdown, a settings panel, bridge health checks, and anti-impersonation provenance credentials.

Compatibility and provenance

Agent Selector is published as dsh-agent-selector and currently resolves to version 0.1.9. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
9/4/2026

Versions

0.1.9stable
9/4/2026
0.1.3stable
9/4/2026

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0.1.9
DSH
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Surface
web
License
MIT
Source
github
GitHub
★ 0
Weekly downloads
0
Last push
9/5/2026
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README

dsh-agent-selector

智能体选择器 — 像 DSH 的模型选择器一样,在对话输入框旁勾选委派目标与具体模型,把当前对话的任务派给外部智能体执行,结果流回对话。

Works on DeepSeek Harness (dsh) 0.1.2-alpha.2 · MIT

它解决什么

你手上有多个 AI 工具的订阅与独占模型(Codex 的 ChatGPT 额度、WorkBuddy 的 hy3 活动价、自配的 MiniMax/Kimi/Qwen key……),散落在各自应用里。这个插件把它们收编进 DSH 一个入口:勾选即委派,结果回对话,全程带出处凭证。

通道全景

目标通道成本延迟
Codexcodex exec --skip-git-repo-check --ephemeral -m <model>ChatGPT 额度秒~分钟
WorkBuddy · 内置模型(hy3 / Hy4 preview / GLM-5.3 系…动态聚合桌面端清单)automation 桥:直写 WorkBuddy automations 表投递一次性任务,其本地调度器自动拾起,内置模型驱动完整 WorkBuddy agent 执行WorkBuddy 订阅(hy3 等内置模型活动价)≤30s 拾起 + 执行(分钟级)
WorkBuddy · 自定义模型(MiniMax / Kimi / Qwen / OpenRouter…实时读 models.json)直连通道:OpenAI 兼容端点 + 你自己的 key你的 API key秒级
Claude Code原生 exe + 槽位 pin(兼容 2.1.x 目录硬校验),后端跟随你的 ANTHROPIC_BASE_URL该端点的计费秒~分钟

内置模型清单动态聚合自 WorkBuddy 本地数据(sessions ∪ automations 的 model_id,对照桌面端显示名映射)——桌面端上下架模型,这里自动跟随,永不过时。

用法

  • 对话输入框旁:🤖 目标 · 模型 ▾ 两步下拉——点智能体 → 点模型,勾选即存
  • 设置 →「🤖 智能体选择器」:状态灯 + hy3 桥探活 + 各通道测试按钮
  • 对话里:「用 hy3 把这份报告润色一下」/「派给 codex」/「用默认智能体查一下 X」→ 模型调 agent_dispatch 工具

反冒充保证

  • 结构性:工具无"DSH 自己作答"路径——一旦调用,返回只能来自外部进程
  • 出处凭证:每条结果带出处头(目标 · 模型 · 耗时 · 会话/对话 ID),只有真实执行才存在
  • 条款约束:工具声明要求"必须实调工具、禁冒充、失败如实报"
  • 用户判据:对话里有工具卡片 = 真委派;无卡片却称"codex 说" = 冒充

安装

git clone https://github.com/jiang12345-code/dsh-agent-selector
cd dsh-agent-selector
pwsh install.ps1 -ProfileName web     # copies into profile + registers in dsh.profile.bundles

然后:重启 DSH(host 半生效)→ 硬刷新页面(client 半生效)→ 打开 设置 →「🤖 智能体选择器」跑通道测试。

各通道可独立使用——没装 WorkBuddy 就只用 Codex/Claude 通道,互不影响。前置依赖见下方「前置依赖」。

机制与风险

hy3 桥经 2026-09-04 实验全链路验证(直写 automations 表投递 once 任务,next_run_at 为调度器唯一扫描键,实测 55s 全链路含中文;IO 全文件化规避 Windows 管道编码陷阱)。属逆向依赖:WorkBuddy 升级若改表结构/调度器实现,桥会碎——设置面板的测试按钮即探活,碎了亮红灯,不会静默出错。

前置依赖

  • Codex 通道:本机装有 Codex CLI 并已登录(npm i -g @openai/codex)
  • Claude Code 通道:Claude Code CLI + 已配置的第三方端点(本插件以槽位 pin 方式兼容 2.1.x 目录校验)
  • hy3 / wbmodel 通道:本机装有 WorkBuddy 桌面端并已登录(hy3 走账户订阅=活动价;wbmodel 读 ~/.workbuddy/models.json 的自定义模型,消耗你自己的 API key)
  • Python 3.x(hy3 桥与 wbmodel 直连的执行引擎,标准库零依赖)

License

MIT