agenttoolguard 0.1.1

AI Agent security guard - policy engine for LLM tool calls

AgentGuard Python SDK

Policy engine for securing AI agent tool calls. | AI Agent 工具调用安全策略引擎。

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Installation | 安装

pip install agent-guard

Requires Python >= 3.10. | 需要 Python >= 3.10。

From source | 源码安装：

cd python
pip install -e ".[dev]"

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Quick Start | 快速开始

import asyncio
from agent_guard import PolicyEngine, guard

engine = PolicyEngine("policy.yaml")

@guard(engine, session_id="demo")
async def shell_execute(command: str) -> str:
    return f"执行结果: {command}"

async def main():
    result = await shell_execute("echo hello")
    print(result)

asyncio.run(main())

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API

PolicyEngine(config_path: str = "policy.example.yaml")

Load policies from a YAML file. | 从 YAML 文件加载策略。

• execute_pre(tool_name, args, session_id) — Run pre-execution policies | 执行前置策略检查
• execute_post(tool_name, result, session_id) — Run post-execution policies | 执行后置策略处理

@guard(engine, session_id="default")

Decorator that wraps an async function with policy enforcement. | 装饰器，为异步函数添加策略防护。

SuspensionManager

• create_request() — Create a suspension request | 创建挂起请求
• wait_for_approval() — Wait for human approval (asyncio.Event) | 等待人工审批
• approve(request_id) / reject(request_id, reason) — External wake-up | 外部唤醒接口
• list_pending() — List all pending requests | 列出待审批请求

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Development | 开发

cd python
pip install -e ".[dev]"
pytest --cov=agent_guard --cov-report=term-missing

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License | 开源许可证

MIT License — Copyright (c) 2026 guorui999