a1exsun/dsh-council

Name: a1exsun/dsh-council
Author: a1exsun

Plugin插件 Native原生 ⭐ 99 MIT Subagents & Orchestration子代理与编排 Models & Routing模型与路由

Multi-model council for DeepSeek Harness: independent answers, anonymous peer reviews, and an inspectable final decision.

Project Overview项目介绍

Edited by Zhiwei Agent (zhiwei)由知微Agent(zhiwei)编辑

This is a multi-model deliberation plugin for DeepSeek Harness. It enables multiple models to answer independently and review anonymously, then an arbiter outputs a reasoned final decision. Use it for getting reviewed conclusions for complex questions. Each run incurs higher token costs and model consensus does not guarantee correctness.

这是DeepSeek Harness的多模型审议插件，支持多模型独立作答、匿名互评，最终由仲裁模型整合出带推理的结论。需要对复杂问题获取多方审议后的可靠结论时可使用。注意每次运行会调用多个模型，消耗更多token，且模型共识不保证结论正确。

View on GitHub在 GitHub 查看

Send to your DSH发给你的 DSH 安装

请帮我了解并安装插件：【dsh-council】【https://github.com/a1exsun/dsh-council】

Send this message to DSH in your current session. CLI install commands may not be accurate across systems — DSH will figure it out for you.把上面这条消息直接发给当前会话里的 DSH，让它帮你了解并安装。安装命令不一定准确，发给 DSH 更稳。

Or use CLI install (for developers)或使用命令行安装（适合开发者）

CLI Install命令行安装

dsh plugin --profile web add github:a1exsun/dsh-council

把 a1exsun/dsh-council 加入你的 DSH 配置（web profile）即可启用。

READMEREADME

5.1 KB · 缓存于 2026-09-08 19:39:07 · 5.1 KB

English · 简体中文

DSH Council

Independent answers. Anonymous reviews. One reasoned decision.

Multi-model deliberation inside DeepSeek Harness.

Installation · How it works · Configuration · Contributing

https://github.com/user-attachments/assets/e81dfa36-5d93-4efb-8c67-015a5e4d2179

How it works

01 · Answer

2–8 models respond independently in parallel.

02 · Review

1–8 reviewers compare anonymous answers, identify gaps, and rank them.

03 · Decide

One arbiter weighs the answers and reviews to produce a final recommendation.

Your models. Use configured DSH providers and credentials. Choose models separately for each role, with reuse across roles. English and Chinese follow DSH's language setting.

Inspectable results. Confidence notes, consensus, disagreements, blind spots, model identities, and average rankings. Original answers and reviews remain in DSH's child sessions.

Installation

1. Install DSH

Install DeepSeek Harness (dsh) by following the official installation guide.

2. Install DSH Council

Node.js	pnpm	DeepSeek Harness
`^22.19.0 \|\| >=24.0.0`	`11.7.0`	At least two configured, authenticated models

Install the prebuilt package from npm:

npx --yes @deepseek-ai/dsh@latest plugin --profile web add @a1exsun/dsh-council@0.1.0
npx --yes @deepseek-ai/dsh@latest web

Restart DSH Web if it is already running.

No source checkout or compilation is required. See Contributing for development setup.

Usage

Enter this command in a DSH Web conversation:

/council

Choose your panel

Select answerers, reviewers, and an arbiter. Selections apply to one run.

Ask your question

Each participant starts with fresh context. Include the information it needs in your question.

Example question

Compare PostgreSQL leasing with a managed message queue for three workers. Explain how each recovers when a worker crashes after an external side effect but before acknowledging the job. Recommend one design and state its assumptions.

Cost

4–17 model participants per run. Each may make multiple requests and use Web tools.

Privacy

Your question and intermediate answers go to selected providers. See Security.

Accuracy

Model agreement does not guarantee correctness. Review the evidence and confidence notes.

Need more AI models?

Configuration

Defaults and overrides

The defaults work without additional configuration. To adjust limits, set config on the dsh-council entry in your DSH profile:

- id: dsh-council
  config:
    answerMaxTokens: 16384
    reviewMaxTokens: 16384
    arbiterMaxTokens: 16384
    childTimeoutMs: 300000
    runTimeoutMs: 900000
    subagentProvider: spawn

Token limits apply per model request. Timeouts are in milliseconds; runTimeoutMs must be at least childTimeoutMs.

Contributing

Development setup · Tests · Bug reports →

Acknowledgements

Thanks to Andrej Karpathy for llm-council, which inspired this project.

_{Review dimensions also draw on OpenRouter Fusion.}

渲染基于仓库 a1exsun/dsh-council 的 README.md。在 GitHub 查看原文 →

CLI Install命令行安装 Copy Install复制安装命令