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@deepseek-ai/dsh-agent-default-model
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Default model selection shared by Agent entry points
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The deployment default used when an entry point creates an Agent that has no session-local model selection. AgentDefaultModelConfig provides ctx.agentDefaultModel; direct entry points such as dsh --profile headless and Host-backed entry points such as ApiProxy read the same service instead of owning parallel provider/model defaults.
The plugin config requires { provider, model }. That composition entry is the base of the agent-default-model Settings section; a mounted settings provider layers the user's choice over it and changes are visible on the next currentSelection() read. reasoningEffort belongs to the Settings section but deliberately not to plugin config: a complete saved selection can clear an effort when the next selected model has none, while a composition value would be inherited again.
ctx.agentDefaultModel.currentSelection() returns a detached { provider, model, reasoningEffort? } selection for a newly created Agent.ctx.agentDefaultModel.saveSelection(selection) saves the complete user selection. Without a settings provider it is a no-op and the composition entry remains current.The service does not validate catalog membership. A provider route may serve an unadvertised model, and the consumer that actually opens a model request owns availability diagnostics.
Indirectly, through the provider/model selection supplied to an entry point; request assembly and adapters own the model-visible request.
Changing the default affects only Agents that subsequently resolve from it. An existing session whose request log already names a selection keeps that selection, so this service does not invalidate its established prefix.
saveSelection() cannot retain a selection for a later Agent.FAQs
Default model selection shared by Agent entry points
The npm package @deepseek-ai/dsh-agent-default-model receives a total of 307,816 weekly downloads. As such, @deepseek-ai/dsh-agent-default-model popularity was classified as popular.
We found that @deepseek-ai/dsh-agent-default-model demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.

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