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


Download files

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

Source Distribution

xingzierai-0.99.6.tar.gz (20.1 MB view details)

Uploaded Source

Built Distribution

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

xingzierai-0.99.6-py3-none-any.whl (21.6 MB view details)

Uploaded Python 3

File details

Details for the file xingzierai-0.99.6.tar.gz.

File metadata

  • Download URL: xingzierai-0.99.6.tar.gz
  • Upload date:
  • Size: 20.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for xingzierai-0.99.6.tar.gz
Algorithm Hash digest
SHA256 c9dab47fb8d2a554115ce8e32434fa1d85cb31fab8a46c367f15b43099fb6e50
MD5 6dd75fa83cfe47c5dc48257b51061033
BLAKE2b-256 f773fc87fbd31ebd2cf9e2bda4ea140ffb9e4a0017c4f7d5f56d9127edf8a26c

See more details on using hashes here.

File details

Details for the file xingzierai-0.99.6-py3-none-any.whl.

File metadata

  • Download URL: xingzierai-0.99.6-py3-none-any.whl
  • Upload date:
  • Size: 21.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for xingzierai-0.99.6-py3-none-any.whl
Algorithm Hash digest
SHA256 e2433abaad6372192971c715996661876fd9cbffe886c15b1014baae41c3c753
MD5 2fa119bffee3472ba604380a9130d0d2
BLAKE2b-256 8fff126dff51b7f94ecb1cd9685afc31fca7256fd562762d083184e414f70c14

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