Implement efficiency improvements: HF endpoint monitoring optimization, Redis connection pooling, API request caching, session management optimization, async processing, model validation caching, and config singleton pattern

Fix HF endpoint URL parsing and add scale-to-zero handling

Clean up old Redis configuration references and simplify config parsing

Fix Redis SSL connection issues and Hugging Face provider deprecated parameters

Fix critical issues: Redis host/port parsing, Ollama URL sanitization, and Hugging Face provider initialization

Fix critical deployment issues: Redis connection, Ollama URL sanitization, Hugging Face provider, config validation, and enhanced error handling

Implement Core LLM Factory Module with provider abstraction and factory pattern

Update app.py imports and send button logic, enhance config detection for HF Spaces, improve HF token validation

Fix Ollama connection, Redis configuration, and monitoring issues

Fix critical LLM provider bugs, Redis config, and Streamlit null safety issues

Update Ollama configuration to use correct ngrok URL ace32bd59aef.ngrok-free.app

Update system to use remote Ollama host with graceful fallback handling

Add requirements, environment configuration, and config loader

Initialize project structure for AI Life Coach