rishithayanidhi/datacenter-cooling-optimization

Data Center Cooling Optimization Environment

Autonomous AI environment for optimizing data center cooling using reinforcement learning.

Features

• —🌡️ Multi-zone temperature management
• —⚡ Energy efficiency optimization
• —🤖 RL-based autonomous control
• —📊 Real-time metrics and monitoring

API Endpoints

• —POST /reset - Reset environment
• —POST /step - Execute action
• —GET /state - Get current state
• —GET /health - Health check
• —GET /docs - Interactive API documentation

Environment Variables

• —API_BASE_URL: API endpoint (default: http://localhost:8000)
• —TASK_TYPE: Task difficulty - easy/medium/hard (default: easy)
• —MODEL_NAME: Model identifier (default: gpt-4-turbo)
• —HF_TOKEN: Hugging Face API token
• —OPENAI_API_KEY: OpenAI API key

Quick Start

The environment is deployed on Hugging Face Spaces and exposes a FastAPI server on port 8000.