dsh-routed-subagent
Run the following command in DeepSeek Harness:
dsh plugin install leonardoxr/dsh-routed-subagent
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install leonardoxr/dsh-routed-subagent in DeepSeek Harness to install the plugin; the source is available at https://github.com/leonardoxr/dsh-routed-subagent
About this plugin
In multi-model workflows, subagent delegation often suffers from a lack of precision: you cannot dictate which model handles a given child task or cap how much reasoning effort it expends. dsh-routed-subagent fills that gap by introducing allowlisted model-and-reasoning routing to DeepSeek Harness, requiring every delegation call to select a preconfigured model policy and an exact effort level, so arbitrary provider or model passthrough is never accepted.
Under the hood, the plugin validates the model and effort pair against local policy and ctx.llm.resolveCallConfig() before any child is spawned. It exposes fine-grained controls such as maximum delegation depth, a per-policy list of models children may further delegate to, output-token caps, and foreground or background execution toggles. All of these are editable through the built-in Settings card; saving hot-remounts the tool and automatically revokes recursive authority held by children from the previous settings generation. Every invocation result echoes the effective provider, model, and reasoningEffort for easy auditing.
If you are building multi-model pipelines in DeepSeek Harness and need deterministic routing, enforced reasoning budgets, or auditable delegation rules for a team, this plugin is the control layer you have been missing.
Use Cases
- Route different child tasks to different models to balance cost and quality
- Cap recursive delegation depth and available model scope to prevent runaway spawning
- Audit every delegation call by echoing the resolved model and reasoning effort
Best For
- Developers building multi-model workflows in DeepSeek Harness
- Teams needing to constrain subagent delegation scope and reasoning cost
- Platform engineers requiring auditable, policy-driven model routing
Related Plugins
A method pack that makes AI coding agents plan against your real baseline, prove completion with fresh evidence, and reduce reworks and unsafe changes.
Turns the DeepSeek Harness session into a captain that builds a durable sub-agent team, splits goals into dependency-aware tasks, and coordinates work via direct messages and a live Web UI.
Gives coding agents design judgment, letting Claude Code, Cursor, and 70+ agents generate and iterate high-quality UI, presentations, and graphics right from the terminal.
Run the Pi ecosystem's plugins on DeepSeek Harness, unmodified, via a compatibility layer that implements Pi's public extension ABI on DSH's native services.