开发环境搭建
快速搭建CAI开发环境，开始您的贡献之旅。
环境要求
Python 3.12+ Git 推荐使用虚拟环境
# 创建虚拟环境
python3.12 -m venv cai-dev
source cai-dev/bin/activate # Linux/Mac
# cai-dev\Scripts\activate # Windows
# 克隆仓库
git clone https://github.com/aliasrobotics/cai.git
cd cai
# 安装开发依赖
pip install -e ".[dev]"
IDE配置
推荐使用VS Code并安装Python扩展
# 在.vscode/settings.json中添加
{
"python.defaultInterpreterPath": "./cai-dev/bin/python",
"python.terminal.activateEnvironment": true,
"python.linting.enabled": true,
"python.linting.pylintEnabled": true
}
开发工具
安装并配置开发工具
# 安装开发工具
pip install pytest black flake8 mypy pre-commit
# 设置pre-commit钩子
pre-commit install
# 运行测试
pytest tests/
# 代码格式化
black src/
# 代码检查
flake8 src/
mypy src/
自定义Agent开发
创建专属于您的安全分析Agent，扩展CAI的功能边界。
创建自定义安全分析Agent
继承基类Agent，实现自定义的安全分析功能
from cai import Agent
from cai.tools import Tool
from typing import Dict, Any
class CustomSecurityAgent(Agent):
"""自定义安全分析Agent"""
def __init__(self, model: str, **kwargs):
super().__init__(model=model, **kwargs)
self.name = "custom_security_agent"
self.role = "自定义安全专家"
def analyze_code_security(self, code: str) -> Dict[str, Any]:
"""分析代码安全性"""
# 调用父类的推理方法
analysis_prompt = f"""
请分析以下代码的安全性，识别潜在的安全漏洞：
```{code}```
请从以下方面进行分析：
1. 输入验证
2. 权限控制
3. 数据泄露风险
4. 注入攻击风险
5. 其他安全问题
"""
result = self.reason(analysis_prompt)
return {
"analysis": result,
"vulnerabilities": self._extract_vulnerabilities(result),
"recommendations": self._generate_recommendations(result)
}
def _extract_vulnerabilities(self, analysis: str) -> list:
"""提取漏洞信息"""
# 实现漏洞提取逻辑
return []
def _generate_recommendations(self, analysis: str) -> list:
"""生成安全建议"""
# 实现建议生成逻辑
return []
def add_custom_tool(self, tool: Tool):
"""添加工具"""
self.register_tool(tool)
# 使用自定义Agent
agent = CustomSecurityAgent(
model="openai/gpt-4",
system_prompt="你是一个专业的安全分析师..."
)
result = agent.analyze_code_security(open("example.py").read())
print(result)
工具扩展开发
开发自定义工具，将外部安全工具集成到CAI框架中。
开发Nmap扫描工具
创建集成第三方工具的自定义工具类
from cai.tools import Tool
from typing import Dict, Any, List
import subprocess
import json
class NmapTool(Tool):
"""Nmap扫描工具"""
name = "nmap_scanner"
description = "使用nmap进行端口扫描和漏洞检测"
parameters = {
"target": {"type": "str", "description": "目标IP地址或域名"},
"scan_type": {"type": "str", "default": "basic", "description": "扫描类型"},
"ports": {"type": "str", "default": "1-1000", "description": "端口范围"}
}
def run(self, target: str, scan_type: str = "basic", ports: str = "1-1000") -> Dict[str, Any]:
"""执行nmap扫描"""
try:
if scan_type == "basic":
cmd = ["nmap", "-sS", "-O", target, "-p", ports]
elif scan_type == "vulnerability":
cmd = ["nmap", "--script", "vuln", target, "-p", ports]
elif scan_type == "service":
cmd = ["nmap", "-sV", "-sC", target, "-p", ports]
else:
cmd = ["nmap", target, "-p", ports]
# 执行扫描
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
if result.returncode == 0:
return {
"status": "success",
"output": result.stdout,
"scan_type": scan_type,
"target": target
}
else:
return {
"status": "error",
"error": result.stderr,
"scan_type": scan_type,
"target": target
}
except subprocess.TimeoutExpired:
return {
"status": "timeout",
"error": "扫描超时",
"scan_type": scan_type,
"target": target
}
except Exception as e:
return {
"status": "error",
"error": str(e),
"scan_type": scan_type,
"target": target
}
# 添加工具到Agent
nmap_tool = NmapTool()
agent.add_tool(nmap_tool)
# 使用工具
result = agent.use_tool("nmap_scanner", {
"target": "192.168.1.1",
"scan_type": "basic",
"ports": "80,443,22"
})
print(result)
API参考
完整的API文档和参数说明，帮助您深入使用CAI框架。