FlowPilot: AI-powered task automation SDK with intent recognition, tool selection, orchestration, and execution.
Project description
AgentFlowPilot
AgentFlowPilot 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 agent_flowpilot
通过源码安装
- 克隆仓库:
git clone https://github.com/deepissue/flowpilot.git
cd flowpilot
- 安装依赖:
pip install -e ".[test]"
这将以可编辑模式安装 agent_flowpilot 包,并同时安装测试依赖。
结构说明
core.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。
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": "myvm"}, # 从用户输入中提取的参数
"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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