53dfb652bf
- Introduced a new AI Real Estate Agent Team with multi-agent capabilities for property search, market analysis, and valuation. - Added comprehensive README documentation detailing features, setup instructions, and API requirements. - Implemented the Enterprise MCP AI Agent Team for orchestrating knowledge management across local files and SaaS platforms, including specialized agents for Notion, GitHub, and Figma. - Enhanced the overall architecture with intelligent routing and task delegation using the Model Context Protocol (MCP). - Included necessary requirements for both teams to ensure proper functionality.
32 lines
No EOL
577 B
Text
32 lines
No EOL
577 B
Text
# Google ADK and AI dependencies
|
|
google-adk>=0.1.0
|
|
google-genai>=0.3.0
|
|
|
|
# Environment and configuration
|
|
python-dotenv>=1.0.0
|
|
pydantic>=2.0.0
|
|
|
|
# Async support
|
|
asyncio-mqtt>=0.16.0
|
|
|
|
# Logging and monitoring
|
|
structlog>=23.0.0
|
|
|
|
# Data processing (optional, for advanced file analysis)
|
|
pandas>=2.0.0
|
|
numpy>=1.24.0
|
|
|
|
# File handling (optional, for document processing)
|
|
PyPDF2>=3.0.0
|
|
python-docx>=0.8.11
|
|
openpyxl>=3.1.0
|
|
|
|
# HTTP client for MCP server communication
|
|
httpx>=0.24.0
|
|
aiohttp>=3.8.0
|
|
|
|
# Development and testing
|
|
pytest>=7.0.0
|
|
pytest-asyncio>=0.21.0
|
|
black>=23.0.0
|
|
flake8>=6.0.0 |