atlasai-cli 0.2.8

AI-powered CLI for AtlasServer deployments: suggest, optimize & debug commands

AtlasAI-CLI 🤖

AtlasAI-CLI is an AI-powered command line tool that analyzes projects and recommends optimal deployment configurations. It works as an independent complement for AtlasServer-Core or as a standalone tool.

Why a separate package?

AtlasAI-CLI was born as part of AtlasServer-Core v0.2.5, but is now distributed as an independent package to:

• Reduce dependencies: AtlasServer-Core stays lighter
• Better performance: Faster installation when AI functions aren't needed
• Flexibility: Usable with or without AtlasServer-Core
• Maintainability: Cleaner and more modular codebase
• Customization: Freedom to choose between local Ollama or cloud-based OpenAI

Main features

🔍 Intelligent Project Analysis

• Framework detection: Automatically identifies Flask, FastAPI, Django and others
• Interactive exploration: Analyzes the structure and key files of the project
• Contextual recommendations: Suggests specific commands, ports and environment variables

🌐 Multiple AI providers

• Ollama: Local models for privacy and offline operation
• OpenAI: Cloud models for advanced analysis

🌍 Multilingual support

• Explanations in English or Spanish according to preference

💻 Rich terminal interface

• Enhanced visualization with Rich
• Real-time responses through streaming
• Panels, tables and Markdown format for better readability

Installation

As a standalone tool:

pip install atlasai-cli

With AtlasServer-Core:

pip install atlasserver atlasai-cli

Requirements:

• Python 3.8 or higher
• Ollama (to use local models)

Usage

Configuration:

# Setup with Ollama (local)
atlasai ai setup --provider ollama --model llama3:8b

# Setup with OpenAI (cloud)
atlasai ai setup --provider openai --model gpt-4.1 --api-key YOUR_API_KEY

Project analysis:

# Basic analysis
atlasai ai suggest ~/path/to/my-project

# With language preference
atlasai ai suggest ~/path/to/my-project --language es

# With debug mode
atlasai ai suggest ~/path/to/my-project --debug

Integration with AtlasServer-Core:

If you have AtlasServer-Core installed, you can use the same commands with the atlasserver prefix:

atlasserver ai setup --provider ollama --model llama3:8b
atlasserver ai suggest ~/path/to/my-project

Demo

AtlasAI-CLI in Action

Compatibility

AtlasAI-CLI works best with:

• Post-Llama 3 models for Ollama
• GPT-4o or higher for OpenAI

Contributions

Contributions are welcome! If you find bugs or have ideas for improvements, please open an issue or submit a pull request.

License

AtlasAI-CLI is distributed under the Apache 2.0 license.

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