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