dsh-task-orchestrator
为 DeepSeek Harness 提供自适应的父级协调器角色委派，支持依赖感知型工作者和可选审查。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:hasan-aghayev/dsh-task-orchestrator#78fe538601fca82cbf166e554fe753f4b67df255Task Orchestrator 以 dsh-task-orchestrator 发布，当前版本为 1.0.6。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。
Adaptive delegation for DeepSeek Harness. The parent model remains the only orchestrator: it creates or validates a small dependency graph, selects the minimum useful number of workers, packs them by context budget, and may assign review to one ordinary worker slot.
Author: Hasan Aghayev
License: MIT
Install the public GitHub package into a DSH profile:
pnpm dsh plugin --profile web add https://github.com/hasan-aghayev/dsh-task-orchestrator.git
The package declares a dsh.bundle manifest in package.json, so the command can discover and apply cordis.patch.yml automatically. Its bundle installs one package-owned delegation group containing the workflow engine and the model-facing surface: subagent, subagent_fork, send_message, interrupt_agent, and list_agents. It does not enable DSH's separate model-facing workflow tool. The standard web-profile rows stay disabled, so disabling this plugin in DSH Market disables the group and all of these tools together. Remove it with:
pnpm dsh plugin --profile web remove dsh-task-orchestrator
Restart the profile after installation if it is already running.
The plugin adds the task_orchestrate tool and enables the standard DSH delegation tools. A simple request stays on the normal path. A complex request is scored with a deterministic detector and then sent through these stages:
TASK, GOAL, RELEVANT CONTEXT, CONSTRAINTS, KNOWN FACTS, FILES / CODE, DEPENDENCIES, EXPECTED OUTPUT, and DO NOT packet.NEED_FILE, NEED_HISTORY, NEED_MORE_CONTEXT, NEED_DEPENDENCY, NEED_BUDGET, or NEED_TOOL_RESULT. Dependency reports are compacted to bounded facts before they are handed to another worker or reused for a context escalation; only NEED_MORE_CONTEXT triggers one bounded context escalation.reviewer is an ordinary worker and produces the final review fields; no seventh child is created.Supported roles are researcher, architect, backend, frontend, tester, documentation, and reviewer. The plugin uses the existing DSH subagent and workflow services and does not modify the agent loop.
The model can also call subagent for a fresh child, subagent_fork for a child that inherits completed parent turns, and list_agents, send_message, or interrupt_agent to manage continuable children. These tools are package-owned group children rather than edits to the base rows. That ownership makes the Market toggle atomic: plugin off means the group and all five model-facing tools are off, while the web profile's standard rows remain off as well.
The default mode is hybrid:
plan-only until a human approves them;Automatic write execution should be enabled only in a profile that has its own approval and workspace policy:
config:
mode: hybrid
minComplexityScore: 55
subagentProvider: spawn
preferredWorkers: 2
maxWorkers: 6
maxTotalAgents: 6
maxConcurrentAgents: 2
allowWrites: false
allowParallelWrites: false
requireReview: true
maxActiveGenerations: 2
hardContextTokens: 98304
priorityAgingMs: 30000
totalContextTokens: 98304
contextCompactionChars: 4096
concurrencyByContext:
- { maxContextTokens: 8192, maxActiveGenerations: 2 }
- { maxContextTokens: 16384, maxActiveGenerations: 2 }
- { maxContextTokens: 24576, maxActiveGenerations: 2 }
- { maxContextTokens: 32768, maxActiveGenerations: 2 }
- { maxContextTokens: 49152, maxActiveGenerations: 2 }
- { maxContextTokens: 65536, maxActiveGenerations: 1 }
- { maxContextTokens: 81920, maxActiveGenerations: 1 }
- { maxContextTokens: 98304, maxActiveGenerations: 1 }
minimumVramHeadroomGiB: 0.8
parentOrchestratorOnly: true
The suggest mode always returns a plan first. off disables automatic planning but keeps the explicit tool. auto is available for deployments that intentionally permit automatic execution.
maxActiveGenerations is the deployment ceiling. concurrencyByContext can lower it for large requests, so a small worker may use more lanes on hardware that passes the corresponding benchmark. On the current RTX 3090 profile every small-worker tier is intentionally set to two and the larger tiers to one: NInfer failed its startup memory reservation at three and six, so the profile does not claim unsafe parallelism. A stream holds a lane only while its output is consumed; an agent waiting for tools or children does not hold one. Completed streams release their context budget immediately, so a queued worker can replace them while another active worker continues. The parent orchestrator starts with preferredWorkers, then admits additional ready workers as results free capacity, up to six. contextCompactionChars bounds dependency reports before escalation or handoff. priorityAgingMs raises a waiting request by one priority level after the configured interval, so a long-running worker cannot wait forever. hardContextTokens is a conservative pre-tokenization guard; NInfer remains authoritative for exact token counts. totalContextTokens is a conservative active-work budget, not a promise that requests fit concurrently in GPU memory. minimumVramHeadroomGiB documents the safety target used when selecting a deployment profile.
The package defaults are conservative (maxActiveGenerations: 2 and two lanes for small requests). To test higher small-worker concurrency, raise the global ceiling and provide matching concurrencyByContext entries in the deployment profile only after a benchmark on that hardware.
The task_orchestrate tool accepts objective, optional parent-created plan, optional planOnly, optional executeWrites, and an optional maxWorkers cap. A request-side cap can never exceed the configured deployment ceiling.
pnpm install
pnpm check
pnpm test
pnpm build
The package emits JavaScript to lib/ and declaration files to lib/types/. The published package contains only the built runtime, declarations, bundle patch, and paired READMEs.
Source: https://github.com/hasan-aghayev/dsh-task-orchestrator