hardes11/dsh-squeeze-command ↗★ 0
dsh-squeeze-command
Manual budget-targeted context compression for DeepSeek Harness: the conversation model picks ranges, a cheap flash-tier route writes the checkpoint summaries.
AI Analysis
核心用途是通过智能压缩历史对话来降低长文本的 Token 成本。适合长对话、重度上下文消耗场景，希望通过摘要技术节省 API 费用的用户。
Install
This plugin has no verified bundle, or compatibility checks failed. Read the repository notes first. Read the full README ↗
README
Read the full README ↗Configuration
| Field | Default | Meaning |
|---|---|---|
contextBudgetTokens | — (required for bare /squeeze) | target for bare invocation |
summarizerProvider | — (required) | provider key for the summary route |
summarizerModel | — (required) | model id for the summary route |
summarizerReasoningEffort | null | effort pin for summarizer calls; pin e.g. low only if the route's effort map declares it |
summarizerConcurrency | 5 | max parallel summarizer calls |
maxSpanInputTokens | 30000 | per-span summarizer input cap |
maxSummaryTokens | 2048 | per-summary output cap |
minSpanTokens | 200 | span floor worth a checkpoint |
maxSnapSteps | 5 | balanced-edge snap budget |
Invalid values (zero, negative, non-integer) fail at plugin load with a named-field error, not at squeeze time.
The summarizer route should be a cheap, fast model — a flash-tier model is the sweet spot: dense summarization is not reasoning-heavy work, and spans run in parallel. The plugin is provider-neutral; any route registered in your DSH settings works.