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dsh-compact-selected-model

session已测通过npmMIT

/compact 与自动压缩使用会话中当前选中的模型来生成摘要,而不是用跑完上一轮的那个模型。

下载量 / Downloads
868
依赖体积 / node_modules
0.01 MB
测试时间 / Tested
2026-11-07
DSH 版本 / Version
0.2.2-rc.1

安装

dsh plugin --profile web add dsh-compact-selected-model

沙箱测试结果

阶段结果
1 安装✓
2 列装✓
3 挂载✓
4 启动—

四阶段在隔离沙箱里跑:安装(有网)→ 列装 → 挂载 → 启动(后三步断网)。

README

dsh-compact-selected-model

By default, DeepSeek Harness compacts a session with the model that answered the

last turn. If you switch models in the picker and then run /compact, the old

model still writes the summary. With this plugin, the summary is written by the

model you have selected now.

Works with dsh 0.1.7-rc.2 through 0.2.x.

Install

npx @deepseek-ai/dsh plugin --profile web add dsh-compact-selected-model

Then restart dsh web.

How it works

Picking a model in the web UI adds a model/selection event to the session.

That choice stays pending until the next request uses it. The plugin hooks

llm/stream. When a request has purpose: 'compaction' and the session has a

pending model, the plugin sends the request to that model. Nothing else in the

request changes.

The plugin leaves the request alone if compaction-basic has an explicit

summarizationModel set. Other requests are never touched.

If the selected model fails, for example because of a rate limit or a context

window that is too small, the compaction fails too. Switch back to a working

model and run /compact again.

Caveats

  • The compaction/summary event in the session log still names the old model,

because compaction-basic writes that record itself. The host log shows where

the request actually went.

  • The auto-compaction threshold is still based on the context window of the

previous model.

  • This needs the modelSelection projection from the session controller, so it

does nothing in headless runs.

Development

node smoke.mjs runs an offline check against a stub LLM service.

License

MIT

以上内容来自 npm 上的 README,我们只做格式化,不改内容。

版本

npm 上共发布:2,最后更新 2026-10-11

链接

GitHub · Homepage · npm

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