Plugin directory / Developer / dsh-maf
dsh-maf
Verified · install-tested on dsh WODE25500
What it does
Microsoft Agent Framework (MAF) 的 DeepSeek Harness 插件 — 验证/运行/搭建 declarative agents 与 workflows(YAML)
Works — verified, early-stage project
Microsoft Agent Framework (MAF) 的 DeepSeek Harness 插件 — 验证/运行/搭建 declarative agents 与 workflows(YAML) It installs cleanly and boots without issues in our testing. It's early-stage but functional.
“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.
README
dsh-maf
Microsoft Agent Framework (MAF) 的 DeepSeek Harness (dsh) 插件 —— 让 dsh 智能体验证、运行和搭建
MAF 的 declarative agents / workflows(YAML 声明式定义)。
独立社区项目,非官方。基于 microsoft/agent-framework(MIT)。
MAF 是 Semantic Kernel 的企业级继任者(v1.0 已发布)。
为什么做
MAF(13k★,Python/.NET)是微软当前的 agent 编排框架,没有 DSH 适配。它的核心是
YAML 声明式 agent/workflow——正好适合 agent 生成、验证和运行:
| 工具 | 行为 |
|---|---|
maf_status |
MAF 包版本 + 环境检查 |
maf_validate |
校验 declarative agent YAML(AgentFactory 解析) |
maf_run_agent |
运行 declarative agent(YAML + prompt) |
maf_run_workflow |
运行 declarative workflow sample(main.py) |
maf_scaffold |
生成 agent/workflow YAML 模板 |
前置要求
pip install agent-framework agent-framework-declarative python-dotenv
Agent YAML 的 model.id 常引用环境变量(=Env.OPENAI_CHAT_MODEL_ID),
运行前配置好 .env / 环境变量(provider 密钥)。
安装
# profile 的 cordis.patch.yml
- insert:
- id: maf
name: './src/index.js'
config:
pythonCmd: python
enginePath: scripts/maf.py
pnpm dsh web --patch ./dsh-maf/cordis.patch.yml
然后问 agent:"maf_status 检查环境,maf_validate 校验 ./agents/Assistant.yaml"。
引擎实现
scripts/maf.py 包装 MAF SDK:
AgentFactory(safe_mode=False).create_agent_from_yaml_path(path)→await agent.run(prompt)- workflow 用
python main.py标准 sample 布局(workflow.yaml + main.py)
配置项
| 键 | 默认 | 说明 |
|---|---|---|
pythonCmd |
python |
Python 解释器 |
enginePath |
scripts/maf.py |
引擎脚本路径 |
timeoutMs |
180000 |
单次调用超时(agent 运行可能较慢) |
已知限制
maf_run_agent/maf_run_workflow消耗配置的 provider API 额度- declarative agents API 官方标注为 experimental(可能变动)
- 输出原样返回(含模型生成内容)
目录结构
dsh-maf/
src/index.js # 5 个工具 + 配置
scripts/maf.py # MAF SDK 引擎(status/validate/run/scaffold)
skills/maf/SKILL.md
docs/
cordis.patch.yml
许可
MIT。
Install
Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:
dsh plugin add dshbase-catalog Then say "install dsh-maf for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.
This plugin is GitHub source (not published to npm) — install it straight from the repo:
Web profile:
dsh plugin --profile web add github:WODE25500/dsh-maf Headless (CLI) profile:
dsh plugin --profile headless add github:WODE25500/dsh-maf Test report
Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.