dsh-active-context-pruning
Model-authored context pruning for DeepSeek Harness through the official compaction API.
67 results
Model-authored context pruning for DeepSeek Harness through the official compaction API.
dsh-plugin: OMP-style ingress shaping plus optional local /fast-compact. Can replace DSH /compact and auto-compaction with a mechanical fold.
DeepSeek Harness 上下文自动压缩、手动压缩与溢出恢复插件
Routes manual /compact summarization to the frontend's currently selected model in DeepSeek Harness.
Pure-incremental directive-driven compaction for DeepSeek Harness: /compact-directive <requirement> summarizes the session middle per your requirement, /trim-directive <requirement> trims the whole conversation per your requirement
AgentFrame compaction backend for DeepSeek Harness: semantic + physical KV compression (28.4x) replacing LLM summarization
Visual percentage and token settings for official DeepSeek Harness compaction
Auto-compact a DSH conversation after the current task finishes, at a user-set context threshold. Settings-page switch + slider included.
DSH plugin: fixes compaction failure on local qwen3.8-27b gateways — xhigh thinking burns the entire output token budget, so thinking is off for compaction-only, with the model's non-thinking sampling parameters
Post-compaction premise-drift guard plugin for DeepSeek Harness: after a compaction summary drops a critical literal anchor (path, value, error code) it injects a one-shot notice telling the model what it may have lost and how to recover it from the log
Web sidebar indicator: API key context headroom, account balance, and estimated turns until compaction
Deterministic, recoverable tool-result compression and cache-aware compaction for DeepSeek Harness
DeepSeek Harness 会话健康度提醒插件:可拖动悬浮按钮,三因子健康度评分(上下文占用/压缩/缓存命中率)、token/耗时/步骤/压缩分析、亚健康一键生成 handoff
OpenAI Responses adapter and durable server-side compaction bundle for DeepSeek Harness.
Codex OAuth provider with native compaction and image input support for DeepSeek Harness.
Minimal epoch bootstrap, full-tool promotion, and hard handoff compaction for DeepSeek Harness
Dual-pipeline compaction for DeepSeek Harness: official server-side Responses compaction v2 for OpenAI-routed targets, with a deterministic VCC-style local compiler (zero model calls) as the default fallback and for every other provider.
Token-efficient tool-result pruning policy for DeepSeek Harness presets.
Context compression for DeepSeek Harness: engineer-handoff-note summarization backed by dsh-compaction-basic.
High-fidelity, faithful, bilingual, recursive compaction backend for DeepSeek Harness — a drop-in upgrade over dsh-compaction-basic.
Deterministic context-pruning compaction backend for dsh (DeepSeek Harness) — zero-LLM summaries, /dcp command, works out of the box. Design references Opencode-DCP/opencode-dynamic-context-pruning.
Model-scoped DSH plugin: GPT Responses lifecycle, Native V2 compaction and Hosted/Alpha Search; Grok native Web/X Search
Model-driven context-window rollover bundle for the DeepSeek Harness: fresh working context, durable model-managed notes, a small verbatim recent tail, and targeted history recovery — no summarization.
Windowed, reversible context management for DeepSeek Harness; replaces Basic compaction.