OrbitOps is an AI-powered DevOps automation system that uses multiple LLM agents to intelligently manage cloud infrastructure across AWS and Azure without requiring traditional scripts.

"Agent-as-DevOps" - A revolutionary approach where specialized AI agents collaborate to handle the entire cloud management lifecycle, from analysis to implementation to monitoring.

The system consists of 7 specialized agents working in coordination:

1. Agent 1: Architecture Reader - Reads and understands your cloud architecture
2. Agent 2: Efficiency Analyzer - Identifies inefficiencies and optimization opportunities
3. Agent 3: Cost Simulator - Runs cost simulations and projections
4. Agent 4: Terraform Generator - Generates Terraform configurations
5. Agent 5: Safe Deployer - Applies changes safely with validation
6. Agent 6: Documentation Writer - Creates and maintains documentation
7. Agent 7: Monitor & Anomaly Detector - Monitors logs and detects anomalies

Unlike traditional cloud automation tools that require predefined scripts, OrbitOps uses LLM agents that can:

• Understand cloud architecture through natural language
• Make intelligent decisions about infrastructure changes
• Generate and apply configurations dynamically
• Learn from patterns and optimize continuously

• Language: Python
• LLM Framework: (To be determined)
• Cloud Providers: AWS, Azure
• Infrastructure as Code: Terraform
• Orchestration: Multi-agent coordination framework

(Setup instructions will be added as the project develops)

(To be determined)