@aprilwizard/dsh-multi-cot

Multi-sampled test-time compute plugin for DeepSeek Harness: parallel planning, internal voting, and a plan/execute/review workflow

AI 分析

核心用于通过多路并行推理和投票机制提升复杂任务的解决成功率。适合对推理质量要求极高、不计 Token 消耗的任务。

パッケージ

@aprilwizard/dsh-multi-cot

バージョン

0.1.0

ライセンス

MIT

最終更新

2026/08/13

Configuration

Key	Default	Meaning
`mode`	`off`	`off` disables; `first-plan` plans once before execution; `workflow` runs plan → execute → review for each of the three phases.
`samples`	`3`	Number of parallel samples (and internal voters) per offline selection; 2–16 in enabled modes.
`votePoints`	`100`	Total integer points one internal vote distributes across samples.
`compressedChainMaxTokens`	`300`	Absolute token ceiling for a compressed reasoning chain.
`compressedChainRatio`	`0.2`	Relative chain ceiling as a fraction of the full chain.
`nearTopDistance`	`0.05`	Fraction of the top score below which candidates stay in the weighted draw.
`reviewMaxRetries`	`2`	Failed reviews allowed before a phase is forced to advance.

All values are validated at plugin load; invalid ranges fail loud instead of silently defaulting.