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leonardoxr /

leonardoxr/dsh-routed-subagent

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Complexity-routed subagent delegation for DeepSeek Harness: the model picks the runtime tier per task.

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dsh-routed-subagent

Complexity-routed subagent delegation for DeepSeek Harness. The calling model judges each delegated task and picks the runtime tier — provider, model, token cap, reasoning effort — it deserves. Spawn chains bound what deeper delegation may exist at all.

Built only on public Harness seams (ctx.subagents.start() per-start agentOptions, the agent-scoped agent/request waterfall). No upstream source changes; works on CLI, plain dsh web, and community desktop distributions.

Configure in the app

After install, Settings → Plugins → Routed subagent edits the tier table in place — a JSON editor over the tiers mapping with staged save, reload, and reset-to-composition. Saved edits apply to new delegations immediately; no restart. Structural identity (toolName, providerName, maxDepth) stays in composition.

Install

dsh plugin --profile <your-profile> add dsh-routed-subagent   # once published
# or straight from a git checkout / packed tarball:
dsh plugin --profile <your-profile> add C:/path/to/dsh-routed-subagent

Configure

The tool refuses to load without tiers — set them in your profile's patch layer (~/.dsh/profiles/<profile>/cordis.patch.yml) by targeting row id routed-subagent. A tier is one runtime; spawnable chains what its children may hire:

# Sol's main agent gets the full menu; GPT children stay inside the codex pool.
- id: routed-subagent
  config:
    toolName: subagent            # optional: replaces the stock name
    maxDepth: 'provider-managed'
    tiers:
      gpt-fast:
        provider: openai-codex        # your codex subscription route
        model: gpt-5-mini
        maxTokens: 16384
        guidance: 'Lookups, mechanical edits, single-file changes, summarization.'
      gpt-deep:
        provider: openai-codex
        model: gpt-5.2
        maxTokens: 65536
        reasoningEffort: high         # applied via the agent/request waterfall
        guidance: 'Multi-step reasoning, architecture, hard debugging.'
        spawnable: [gpt-fast]         # deep children may hire fast helpers only
      local-cheap:
        provider: deepseek
        model: deepseek-chat
        maxTokens: 8192

Per-agent menus come from composition: mount this row (with different toolName + tiers) inside an agent preset to give that preset its own delegation menu. An agent whose preset lacks the row cannot delegate at all.

Config reference

Key Default Meaning
toolName routed_subagent Registered tool name; keep distinct from the stock subagent tool
providerName spawn Subagent transport on ctx.subagents
enableRunInBackground true Expose run_in_background (jobs runtime required)
maxDepth 'provider-managed' Numeric cap requires the provider's depthLimit capability
rootTiers all tiers Tiers top-level agents may use
tiers.*.provider, .model required Child request routing (AgentOptions)
tiers.*.maxTokens – Output-token cap for the child
tiers.*.reasoningEffort – Effort forced onto every child request
tiers.*.persona – Per-child persona override (needs persona capability)
tiers.*.guidance – One-line tradeoff shown to the calling model
tiers.*.spawnable [] Tier names children of this tier may delegate to

How the choice works

The tool description carries each tier's guidance; the model judges the delegated work per call and picks tier. Deeper in a chain, the exposed menu narrows to the caller tier's spawnable list — violating calls fail with a message naming what is valid, so the model self-corrects.

Security note

Harness's /api trust fence is DNS-rebinding defense, not authentication. Whatever a delegated child can do, anyone who can reach the server can set in motion. Keep expensive tiers behind routes whose accounts you accept spending.

License

MIT

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