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PageEyes Agent

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Documentation: PageEyes Agent


PageEyes Agent 是基于 Pydantic AI 框架开发的一个轻量级 UI Agent, 其中元素信息感知能力依靠 OmniParserV2 模型,整个 Agent 的优势在于不依赖视觉语言大模型, 即使小参数的 LLM 也能胜任路径规划能力,同时支持多平台(Web、Android、HarmonyOS、iOS、Electron 桌面应用),目前主要包含以下功能:

  1. 完全由自然语言指令驱动,无需编写脚本,既可实现自动化测试,UI巡检等任务
  2. 跨平台、跨端支持,在 Python 环境中安装 page-eyes 库和配置 OmniParser 服务后即可开始多个平台的自动化任务
  3. 支持多种大模型接入,包括DeepSeek、OpenAI、千问等,默认使用 deepseek-v4-flash 模型,后续会支持更多大模型接入
  4. 可通过自然语言进行断言,并生成详细的执行日志和报告,方便测试人员查看执行过程和结果

安装

您可以通过 pip 安装

pip install page-eyes

或者克隆项目源码安装

git clone https://github.com/tencentmusic/page-eyes-agent.git
cd page-eyes-agent
uv sync  # 安装依赖

快速开始

配置环境变量,可在项目根目录下创建一个 .env 文件,配置项可参考 .env.example

一、轻量化部署: 配好模型, 插上手机就能跑

.env 中配置VLM模型,以 qwen3-vl-plus 为例

OPENAI_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
OPENAI_API_KEY=xxx-xxx-xxx-xxx-xxx
AGENT_MODEL_TYPE=vlm
AGENT_MODEL=openai:qwen3-vl-plus

编写测试脚本,以 Android 端为例(需先安装好 adb)

import asyncio

from page_eyes.agent import AndroidAgent


async def main():
    # 移动端
    ui_agent = await AndroidAgent.create()

    report = await ui_agent.run("打开QQ音乐, 点击乐馆,点击排行,点击腾讯音乐榜,检测当前页面出现由你榜")


if __name__ == "__main__":
    asyncio.run(main())

二、多源融合(视觉小模型+大模型)部署

OmniParser + LLM

.env 中配置模型,以 deepseek-v4-flash 为例, OmiParser 需提前部署

OPENAI_BASE_URL=https://api.deepseek.com/v1
OPENAI_API_KEY=xxx-xxx-xxx-xxx-xxx
AGENT_MODEL=openai:deepseek-v4-flash
OMNI_BASE_URL=http://127.0.0.1:8000

测试脚本参考上面已有示例

三、更多配置

环境变量 默认值 说明
AGENT_MODEL openai:deepseek-v4-flash 使用的AI模型,当前设置为 deepseek-v4-flash
AGENT_DEBUG False 是否启用调试模式
BROWSER_HEADLESS False WebAgent 启动浏览器时是否使用无头模式
AGENT_MODEL_TYPE llm Agent 使用的模型类型,支持 llm 和 vlm
OMNI_BASE_URL http://127.0.0.1:8000 OmniParser API的服务端点, vlm 不需要配置该项
OPENAI_BASE_URL https://api.deepseek.com/v1 模型 API 的服务端点
OPENAI_API_KEY xxx-xxx-xxx 模型 API 所需的认证密钥
IOS_WDA_URL - iOS WebDriverAgent 服务地址(仅 iOS 自动化需要)

llm 模型支持:deepseek-v4-flash deepseek-v4-pro deepseek-v3.1-terminus deepseek-v3 glm-4.7 glm-4.6v qwen3-vl-plus 等
vlm 模型支持:glm-4.6v qwen3-vl-plus 等

如:
AGENT_MODEL=openai:deepseek-v4-flash
AGENT_MODEL=openai:qwen3-vl-plus

使用腾讯云COS服务(与MinIO二选一),可选,不配置则会使用 base64 保存图片

环境变量 默认值 说明
COS_SECRET_ID - 腾讯云COS服务的Secret ID
COS_SECRET_KEY - 腾讯云COS服务的Secret Key
COS_ENDPOINT - 腾讯云COS服务的 endpoint
COS_BUCKET - 腾讯云COS服务的 bucket

使用MinIO服务(与腾讯云COS二选一),可选,不配置则会使用 base64 保存图片

环境变量 默认值 说明
MINIO_ENDPOINT - MinIO 端点 host:port
MINIO_ACCESS_KEY - 您在后台创建的 Access Key
MINIO_SECRET_KEY - 创建 Access Key 时会生成 SECRET_KEY
MINIO_BUCKET - 您在后台创建的 Bucket

详细部署参考

使用示例

根据需要操作的设备类型可以导入对应的 Agent 类

from page_eyes.agent import WebAgent, AndroidAgent, HarmonyAgent, IOSAgent, ElectronAgent

...
Agent Class 支持类型
WebAgent Web/H5浏览器操作,依赖 Playwright 和 Chrome
AndroidAgent Android 移动端操作,依赖 adb
HarmonyAgent 鸿蒙 Next 移动端操作,依赖 hdc
IOSAgent iOS 移动端操作,依赖 facebook-wda
import asyncio

from page_eyes.agent import WebAgent, AndroidAgent


async def main():
    # Web 端
    ui_agent = await WebAgent.create(simulate_device='iPhone 15 Pro')

    # 移动端
    # ui_agent = await AndroidAgent.create(serial='android-udid')

    report = await ui_agent.run("""
            - 打开 url "https://yobang.tencentmusic.com/chart/uni-chart/rankList/"
            - 点击"查找icon"
            - 在搜索输入框中输入"小美满"
            - 点击"小美满> "
            - 点击"日榜"
            """)


if __name__ == "__main__":
    asyncio.run(main())

四、使用 Skills

Agent 默认会加载当前 ./skills 目录下的技能(如有),也可以自定义其他目录的skills

import asyncio

from page_eyes.agent import AndroidAgent


async def main():
    # 移动端
    ui_agent = await AndroidAgent.create(skills_dirs=["./skills", "./more-skills"])

    report = await ui_agent.run("打开QQ音乐, 点击乐馆,点击排行,点击腾讯音乐榜,检测当前页面出现由你榜")


if __name__ == "__main__":
    asyncio.run(main())

更多示例请参考示例代码

步骤报告示例

贡献者

贡献指南

  1. 检查现有 issues 或提交新 issue 来讨论功能想法或缺陷
  2. 在GitHub上Fork代码仓库,基于主分支创建修改分支(或从其创建新分支)
  3. 编写测试用例:通过测试验证缺陷已修复或新功能符合预期
  4. 添加更新日志:按规范提交更新日志
  5. 完善文档:优化文档(增强细节、提升可读性等)

如有需要,加入我们的交流群

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