johnx438-hub/dsh-minimal-context ↗★ 0
dsh-minimal-context
Minimal-agent context funnel for DeepSeek Harness: pointerize → prune → compact → summarize + recall_query / context_focus
AI Analysis
核心用途是通过将大工具输出指针化、裁剪头尾、自动摘要等手段压缩上下文。适合需要运行长对话、频繁调用工具且希望严格控制 Token 预算的用户。
Install
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README
Read the full README ↗配置（均有默认值）
pointerizeMinChars— 超过该字符数的 tool/result 指针化（默认 400）pointerizeNeverTools— 永不指针化的工具名（默认['recall_query']）pruneThresholdChars/pruneHeadChars/pruneTailChars— 裁剪阈值与头尾保留maxFullCardsPerTurn/maxCompactPerStep— 每轮完整卡片 / 压缩上限summarizeMinChars/summarizeMinNodes— 触发摘要的阈值surfaceBudget*/budget*— 预算驱动的指针化/裁剪参数（surfaceBudgetEnabled默认 true）taskSummaryInterval— TaskSummary 注入间隔（默认 12，仅真实压缩后注入）