Initial commit: LLM Automation Docs & Remediation Engine v2.0

Features:
- Automated datacenter documentation generation
- MCP integration for device connectivity
- Auto-remediation engine with safety checks
- Multi-factor reliability scoring (0-100%)
- Human feedback learning loop
- Pattern recognition and continuous improvement
- Agentic chat support with AI
- API for ticket resolution
- Frontend React with Material-UI
- CI/CD pipelines (GitLab + Gitea)
- Docker & Kubernetes deployment
- Complete documentation and guides

v2.0 Highlights:
- Auto-remediation with write operations (disabled by default)
- Reliability calculator with 4-factor scoring
- Human feedback system for continuous learning
- Pattern-based progressive automation
- Approval workflow for critical actions
- Full audit trail and rollback capability

src/datacenter_docs/utils/config.py

@@ -0,0 +1,60 @@
+"""
+Configuration management using Pydantic Settings
+"""
+
+from pydantic_settings import BaseSettings
+from typing import List
+from functools import lru_cache
+
+
+class Settings(BaseSettings):
+    """Application settings"""
+    
+    # MongoDB
+    MONGODB_URL: str = "mongodb://admin:password@localhost:27017"
+    MONGODB_DATABASE: str = "datacenter_docs"
+    
+    # Redis
+    REDIS_URL: str = "redis://localhost:6379/0"
+    
+    # MCP Server
+    MCP_SERVER_URL: str
+    MCP_API_KEY: str
+    
+    # Anthropic Claude API
+    ANTHROPIC_API_KEY: str
+    
+    # CORS
+    CORS_ORIGINS: List[str] = ["*"]
+    
+    # Application
+    LOG_LEVEL: str = "INFO"
+    DEBUG: bool = False
+    
+    # API Configuration
+    API_HOST: str = "0.0.0.0"
+    API_PORT: int = 8000
+    WORKERS: int = 4
+    
+    # LLM Configuration
+    MAX_TOKENS: int = 4096
+    TEMPERATURE: float = 0.3
+    MODEL: str = "claude-sonnet-4-20250514"
+    
+    # Vector Store
+    VECTOR_STORE_PATH: str = "./data/chroma_db"
+    EMBEDDING_MODEL: str = "sentence-transformers/all-MiniLM-L6-v2"
+    
+    # Celery
+    CELERY_BROKER_URL: str = "redis://localhost:6379/0"
+    CELERY_RESULT_BACKEND: str = "redis://localhost:6379/0"
+    
+    class Config:
+        env_file = ".env"
+        case_sensitive = True
+
+
+@lru_cache()
+def get_settings() -> Settings:
+    """Get cached settings instance"""
+    return Settings()