dsh-compaction-cacheaware

Reasonix-style cache-aware compaction backend for DeepSeek Harness (DSH). Replaces/enhances compaction-basic with compact_ratio, one structured summary checkpoint, and a stable recent tail.

AI 分析

核心用途是优化长对话的上下文压缩，提高缓存命中率并减少 Token 浪费。适合频繁进行超长对话、关注推理成本的用户。

パッケージ

dsh-compaction-cacheaware

バージョン

0.1.2

ライセンス

MIT

最終更新

2026/08/16

Configuration

Key	Default	Meaning
`compactRatio`	`0.85`	Sole automatic trigger fraction.
`checkpointCeilingRatio`	`0.5`	Normal auto-checkpoint acceptance ceiling.
`recentTailRatio`	`0.1`	Recent verbatim tail fraction.
`recentTailMinTokens`	`32768`	Lower bound for production tail.
`recentTailMaxTokens`	`98304`	Upper bound for production tail.
`summaryMaxTokens`	`16384`	Summarizer output cap.
`exceptionalMinSavingsRatio`	`0.25`	Required savings when fixed prefix exceeds ceiling.
`minRecentKeep`	`2`	Minimum recent messages kept.
`minCompactMessages`	`2`	Minimum compactable messages.
`maxPinnedFirstUserTokens`	`1500`	Pin first user turn if ≤ this.
`pinnedFirstUserWindowFrac`	`0.15`	First-user pin window fraction cap.
`protocolReserveTokens`	`256`	Framing reserve.
`summarizationProvider` / `summarizationModel`	`''`	Optional summary route; defaults to conversation route.
`auto`	`true`	Register automatic pressure/overflow listeners.

dsh-compaction-cacheaware

AI 分析

インストール

ドキュメント

Configuration