Skip to main content

XINGZIER AI is a **personal assistant** that runs in your own environment.

Project description

XINGZIER AI

🤖 智能 AI 助手平台 - 支持多种 AI 模型、本地部署、飞书/Discord 等频道集成


🚀 快速上手指南(新手必读)

📖 完整安装教程docs/QUICKSTART.md

3 步快速开始

# 1. 安装
pip install xingzierai

# 2. 初始化
xingzierai init

# 3. 启动
xingzierai run

然后打开浏览器访问 http://localhost:8555


✨ 功能特性

  • 🌐 多模型支持 - OpenAI GPT-4、Anthropic Claude、Google Gemini、OpenRouter 等
  • 💻 本地模型 - 支持 llama.cpp、Ollama、Apple MLX (M1/M2/M3)
  • 📱 多频道集成 - 飞书、Discord、Telegram、微信企业版等
  • 🖥️ Web 控制台 - 友好的 Web 界面管理配置
  • 🔄 实时对话 - 支持流式输出、上下文记忆
  • 🛡️ 安全可靠 - 本地部署,数据完全自主控制

📦 安装

基本安装

pip install xingzierai

Apple Silicon Mac (M1/M2/M3)

pip install xingzierai[mlx]

完整安装(包含所有功能)

pip install xingzierai[full]

🆘 疑难解答

问题 解决方案
安装报错 点击查看常见问题
启动失败 点击查看解决方案
API 配置 点击查看配置指南

📚 完整文档


🖥️ 系统要求

项目 最低 推荐
Python 3.10 3.11/3.12
内存 4GB 8GB+
系统 Win10+, macOS 10.14+, Ubuntu 18.04+ Win11, macOS 13+, Ubuntu 22.04+

⚙️ 配置

环境变量

# API 密钥
export XINGZIERAI_API_KEY=sk-or-v1-xxxxx

# CORS 配置(允许的前端域名)
export XINGZIERAI_CORS_ORIGINS=http://localhost:8555

# LLM 超时时间(秒)
export XINGZIERAI_LLM_TIMEOUT=300

🚀 启动

# 基本启动
xingzierai run

# 指定端口
xingzierai run --port 9000

# 后台运行
nohup xingzierai run > app.log 2>&1 &

访问 http://localhost:8555 打开 Web 控制台。


🛠️ 开发

# 克隆仓库
git clone https://github.com/your-repo/xingzierai.git
cd xingzierai

# 开发模式安装
pip install -e .

# 构建发布包
python -m build

📄 许可证

MIT License


🙏 致谢


Made with ❤️ by XINGZIER AI Team

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xingzierai-0.127.2.tar.gz (10.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

xingzierai-0.127.2-py3-none-any.whl (11.3 MB view details)

Uploaded Python 3

File details

Details for the file xingzierai-0.127.2.tar.gz.

File metadata

  • Download URL: xingzierai-0.127.2.tar.gz
  • Upload date:
  • Size: 10.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for xingzierai-0.127.2.tar.gz
Algorithm Hash digest
SHA256 b5bd1b5b2624057fa529c2902737065f5e32bc187863c2b50ef121961f65f2fa
MD5 3c71df0d2dfc57956d955a42515871ff
BLAKE2b-256 6ab024fc4f4587b6c88e9c7322add1b411c681dceff5b4f3b132fc08bea12059

See more details on using hashes here.

File details

Details for the file xingzierai-0.127.2-py3-none-any.whl.

File metadata

  • Download URL: xingzierai-0.127.2-py3-none-any.whl
  • Upload date:
  • Size: 11.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for xingzierai-0.127.2-py3-none-any.whl
Algorithm Hash digest
SHA256 90d90a985e84549473c32df6014f512468d35851a965e09158b98982b5fcaaf5
MD5 5f6dc3034e59e8f48e32209b8f3e7735
BLAKE2b-256 614b0fbd01de3e64b0cc8883dad04f208a072871c23547388edba09aa523eb17

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page