GetSoloTech/solo-cli

AI 总结

• 项目从 solo-server 重命名为 solo-cli，安装包名与配置目录已调整，但 CLI 命令仍保持为 solo。
• 该工具主打在本地硬件和边缘设备上部署 Physical AI，支持模型微调与推理服务。
• 面向语言、视觉和动作模型，强调上下文感知、任务关键场景和 on-device/edge 优化。
• 提供文档、迁移指南、配置文件说明及 API 兼容信息，支持 OpenAI 兼容接口、Ollama、vLLM 和 llama.cpp。
• 项目基于 Python 3.12+，采用 Apache 2.0 许可证，并提供安装演示与机器人交互式 CLI 入口。

内容摘录

Solo CLI

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Python 3.12+
License: Apache 2.0
PyPI Version

**Fastest way to deploy Physical AI on your hardware**

Simple CLI for Physical AI:
*Fine-tune and serve models in the physical world; optimized for edge & on-device operations*

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 <img src="media/solo-banner.png" alt="Solo Tech" width="500">
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**📢 IMPORTANT: Package Renamed**

This package has been renamed from **solo-server** to **solo-cli**!

If you're upgrading from solo-server, please see the **Migration Guide** for upgrade instructions.
**Old**: pip install solo-server
**New**: pip install solo-cli
**Config Migration**: ~/.solo_server → ~/.solo
**CLI Command**: Still solo (unchanged) ✅

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Solo-CLI powers users of Physical AI Inference by providing access to efficiency tuned AI models in the real world. From language to vision to action models, Solo-CLI allows you to interact with cutting-edge, on-device AI directly within the terminal. It is tailored for context aware intelligence, specialized for mission-critical tasks, and tuned for the edge.

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 <a href="https://docs.getsolo.tech">Docs</a> |
 <a href="https://getsolo.tech">About</a>
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Installation
**Upgrading from solo-server?** See the Migration Guide first.

First, install the uv package manager and setup a virtual environment as 
explained in prereq.md
💻 Solo Tech Installation Demo 

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 <img src="media/SoloTechInstallationGIF.gif" alt="Solo Tech Installation Demo" width="600" height="450">
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**To see the full video, click here to watch on YouTube.**
Solo Commands:
Interactive CLI for Robots
**Find more details here: Solo Robo Docs**

Interactive CLI for Local AI Deployment
API Reference
Find more details here: OpenAI -> OpenAI API Docs Ollama -> Ollama API Docs
vLLM & llama.cpp (OpenAI Compatible)
Ollama
Configuration
Navigate to config file
.solo/config.json 
Contributing
Fork the repository
Create feature branch (git checkout -b feature/name)
Commit changes (git commit -m 'Add feature')
Push to branch (git push origin feature/name)
Open Pull Request