three-layer-ai-framework/requirements.txt at main · maree217/three-layer-ai-framework · GitHub

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# Three-Layer AI Framework Dependencies
# Production-ready enterprise AI implementation requirements

# Core Python dependencies
python-dotenv>=0.19.0
pydantic>=1.10.0
requests>=2.28.0
python-dateutil>=2.8.2
pytz>=2022.1

# Data manipulation and analysis (Layer 2)
pandas>=1.5.0
numpy>=1.21.0
scipy>=1.9.0

# Machine Learning and AI (All Layers)
scikit-learn>=1.1.0
statsmodels>=0.13.0

# Time series forecasting (Layer 3)
prophet>=1.1.0

# Azure AI and Microsoft ecosystem integration
azure-ai-ml>=1.0.0
azure-identity>=1.12.0
azure-core>=1.26.0
azure-openai>=1.0.0

# OpenAI and AI model integration
openai>=1.0.0

# Web framework and APIs (Layer 1)
fastapi>=0.95.0
uvicorn>=0.20.0
streamlit>=1.20.0

# Visualization and dashboard generation (All Layers)
plotly>=5.10.0
matplotlib>=3.5.0
seaborn>=0.11.0

# Microsoft Semantic Kernel integration
semantic-kernel>=0.5.0

# Graph databases and knowledge graphs (Layer 2)
neo4j>=5.0.0
networkx>=2.8.0

# Vector databases for RAG (Layer 1)
chromadb>=0.4.0
faiss-cpu>=1.7.0

# Document processing (Layer 1)
langchain>=0.0.200
pypdf2>=3.0.0
python-docx>=0.8.11

# Infrastructure as Code
azure-mgmt-resource>=20.0.0
azure-mgmt-containerinstance>=10.0.0

# Development and testing
pytest>=7.0.0
black>=22.0.0
flake8>=4.0.0
mypy>=1.0.0

# Monitoring and observability
prometheus-client>=0.15.0
azure-monitor-opentelemetry>=1.0.0