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deepseek-harness-orchestrate 專案預覽
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deepseek-harness-orchestrate

Agent 與自動化TypeScriptMIT

DSH 宣告式任務 DAG 編排:校驗依賴圖,透過工作流子智慧體並行執行拓撲任務層,並確定性傳播失敗。

1 Starsapheli0os 更新時間 2026-08-15
訪問 GitHub 倉庫
deepseek-harness-orchestrate 專案預覽

專案介紹

中文

DSH 宣告式任務 DAG 編排:校驗依賴圖,透過工作流子智慧體並行執行拓撲任務層,並確定性傳播失敗。

English

Declarative task-DAG orchestration for DSH: validates dependency graphs, runs topological task layers in parallel through workflow-backed subagents, and propagates failures deterministically.

專案資訊與收錄訊號

快照 2026-09-11
作者 / 組織
apheli0os
倉庫
apheli0os/deepseek-harness-orchestrate
GitHub Stars
1
Forks
0
開發語言
TypeScript
許可證
MIT
最近推送
2026-08-15
Manifest
資料中檢測到宣告

公開倉庫不自動等於可商用;許可證與當前相容性以原專案文件為準。Manifest 和資料評分不構成安裝安全認證。

資料評分

51/ 100
維護活躍
81
文件與實用資訊
85
生態關注度
9
安裝便捷訊號
80
專案宣告訊號
100

README 含完整安裝與使用說明;關注度尚低(1)。

評分來自已有資料快照的五維模型,僅作瀏覽參考,不是實際使用評測或安全檢測結論。

安裝與使用

所有專案資料與許可均以對應 GitHub 倉庫為準。

dsh plugin --profile web add dsh-tool-orchestrate

複製命令不會自動執行。請先閱讀倉庫文件,確認環境要求與許可證。

專案截圖

倉庫 README

GitHub 原文

已儲存的倉庫文件快照;文件抓取時間未記錄,可能與上方目錄介紹處於不同版本。安裝前請核對當前倉庫說明。

儲存庫檔案保留原文,指令與授權文字不作自動改寫。

dsh-tool-orchestrate

English | 中文

Declarative task-DAG orchestration for DeepSeek Harness. This optional Cordis plugin registers a model-facing orchestrate_tasks tool, validates a bounded directed acyclic task graph before anything starts, and executes it through the existing ctx.workflowEngine.

This is an independent community plugin and is not an official DeepSeek package.

The package-owned worker script executes deterministic topological layers. Model-authored ids, prompts, dependency ids, schemas, provider names, model names, and upstream results are passed only as JSON data; none is interpolated into JavaScript source.

Install

dsh plugin --profile web add dsh-tool-orchestrate

Replace web with the profile you want to extend. The package declares a DSH bundle manifest, so installation adds its tool-orchestrate Cordis row automatically. This project distributes prebuilt releases through npm; installing directly from the GitHub repository is not supported.

The plugin expects a DeepSeek Harness deployment that already provides:

  • ctx.tools
  • ctx.systemPrompt
  • ctx.workflowEngine, normally supplied by @deepseek-ai/dsh-workflow-worker-thread
  • a subagent provider selected by the workflow engine

Manual Cordis configuration

Normally no manual configuration is needed after dsh plugin add. For a custom composition, add:

- id: tool-orchestrate
  name: 'dsh-tool-orchestrate'

The standard DSH base bundle already loads workflow-worker-thread. A custom composition must provide ctx.workflowEngine; if it disables the workflow engine, re-enable it explicitly in a later patch layer.

Model input

orchestrate_tasks accepts:

  • meta: normalized name and description;
  • tasks: a non-empty array of tasks with lowercase kebab-case id, title, and normalized prompt;
  • optional dependsOn, provider, model, and object-rooted outputSchema per task.

Each completed task returns its child's text or structured value. A failed child becomes { status: 'failed', error: 'subagent_failed' }; a task blocked by failed or skipped direct dependencies becomes skipped with deterministic blockedBy ids. Results keep the original task-array order, with aggregate counts and a top-level completed, partial, or failed status.

API key ownership

This plugin does not own or store an API key. Child tasks use the host deployment's existing LLM route and credential source: for example DEEPSEEK_API_KEY in the process environment, a host credential provider, or another configured route. Subagents inherit the same credential configuration as the parent composition unless a task selects a different provider/model route.

Do not place API keys in prompts, cordis.yml, source code, or GitHub Actions logs. Prefer environment variables or your deployment's credential mechanism.

Config

KeyDefaultMeaning
toolNameorchestrate_tasksModel-facing tool name.
maxTasks64Maximum tasks per call.
maxDependencies16Maximum direct dependencies per task.
maxPromptChars32768Maximum normalized characters per task prompt.
maxResultChars50000Rendered canonical-JSON ceiling.

All numeric limits must be positive safe integers; toolName must be a non-empty normalized string.

Development

pnpm install
pnpm run typecheck
pnpm run check

Publishing is performed from a clean checkout through the manually triggered Publish to npm GitHub Actions workflow. Maintainers must configure its npm environment and NPM_TOKEN secret first.

使用前核對

安裝步驟、相容版本與授權範圍以原專案當前文件為準。Stars 和評分是快照中的導航訊號。

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