dsh-compact-selected-model
DeepSeek Harness 插件：/compact 和自动压缩使用会话中当前选定的模型进行摘要，而不是完成上一轮对话的模型
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add dsh-compact-selected-model@0.1.1Compact Selected Model 以 dsh-compact-selected-model 发布，当前版本为 0.1.1。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
正在加载相关插件…
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.
npx @deepseek-ai/dsh plugin --profile web add dsh-compact-selected-model
Then restart dsh web.
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.
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.modelSelection projection from the session controller, so it
does nothing in headless runs.node smoke.mjs runs an offline check against a stub LLM service.
MIT