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Rooted in Origin, Driving All Things

Project description

RootDriver

根源出发,驱动万物

一个轻量级的 Python AI Agent 开发框架,支持单智能体和多智能体应用。

特性

  • 简洁易用:装饰器方式定义工具,快速构建 Agent
  • 模块化设计:LLM 适配器、工具系统、会话管理解耦
  • 工具调用:支持 function calling,自动执行工具并返回结果
  • 状态管理:支持内存和数据库持久化检查点
  • 异常体系:完整的异常类层次结构

安装

pip install rootdriver

快速开始

定义工具

from rootdriver import tool

@tool
def get_weather(city: str) -> str:
    """获取城市天气"""
    return f"{city} 晴天"

创建 Agent

from rootdriver import Agent, AgentLLM, OpenAIAdapter

agent = Agent(
    agent_llm=AgentLLM(
        adapter=OpenAIAdapter(
            api_key="YOUR_API_KEY",
            base_url="BASE_URL"
        ),
        model="gpt-4",
    ),
    tools=[get_weather],
    system_prompt="你是一个有用的助手",
)

# 单次对话
response = agent.talk("北京天气怎么样?")
print(response)

使用工具

# 完整对话循环(包含工具调用)
response = agent.react("帮我查下上海天气")
print(response)

核心组件

组件 说明
Agent 智能体入口,整合 LLM、工具、会话
Engine 核心引擎,处理对话循环和工具调用
Conversation 会话管理,维护消息历史
LLM LLM 调用封装
Tool 工具集合,管理所有可调用工具
State 状态管理,支持检查点和持久化

项目结构

rootdriver/
├── agent.py           # Agent 智能体
├── engine.py          # 引擎核心
├── conversation.py    # 对话管理
├── state.py           # 状态管理
├── exception.py       # 异常定义
├── llm/
│   ├── llm.py         # LLM 封装
│   ├── base_adapter.py    # 适配器基类
│   └── adapter/
│       └── openai_adapter.py  # OpenAI 适配器
├── tool/
│   ├── base_tool.py   # 工具基类
│   └── tools.py       # 工具集
├── types/             # 类型定义
└── utils/             # 工具函数

License

MIT

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