dsh-council
DeepSeek Harness 的多模型委员会审议插件。
AI 分析
核心用途是引入多模型联合评审机制。适合需要对复杂设计或方案进行多模型交叉验证、评审与仲裁的用户。需要配置并认证至少两个可用模型。
安装
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:a1exsun/dsh-council说明文档
阅读完整 README ↗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.
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.