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FlowPilot: AI-powered task automation SDK with intent recognition, tool selection, orchestration, and execution.

Project description

FlowPilot

FlowPilot 是一个智能代理任务处理 SDK,具备以下核心功能:

  • ✨ 意图识别
  • 🛠️ 工具判断
  • 📋 任务编排
  • 🚀 任务执行

安装

通过 PyPI 安装

pip install flowpilot

通过源码安装

  1. 克隆仓库:
git clone https://github.com/deepissue/flowpilot.git
cd flowpilot
  1. 安装依赖:
pip install -e ".[test]"

这将以可编辑模式安装 flowpilot 包,并同时安装测试依赖。

结构说明

  • flowpilot.py:统一流程入口,负责启动和管理任务执行流程。
  • intent.py:意图识别器,基于输入的提示词进行意图分析,返回任务定义信息。
  • scheduler.py:任务编排调度,负责任务的顺序和依赖关系管理。
  • executor.py:任务执行器抽象类,具体任务执行逻辑的实现。
  • tools.py:工具注解生成,提供辅助功能的工具接口。

使用示例

可以在 test/demo.py 中找到具体的使用示例。

# 示例代码
from flowpilot import FlowPilot

flow = FlowPilot(...)
flow.load_task_definitions(task_definitions)
await flow.arun()
report = flow.get_execution_report()
print(report)

任务定义示例

任务定义是整个 SDK 的核心,结构如下:

# 任务定义示例
task_definitions = [
    {
        "name": "create_vm",
        "description": "创建虚拟机",
        "parameters": {"vm_name": None},
        "required_parameters": [],
        "optional_parameters": ["vm_name"],
        "execution_mode": "sequential",
        "depends_on": [],
    }
]

测试

运行测试,可以使用以下命令:

pytest tests/

贡献

欢迎提交 PR 或 issue!任何问题或建议都可以提到 issue。

License

MIT License

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