Multi-Agent Data Analysis System

This Agentic system is designed to handle complex data analysis tasks by breaking them down into smaller subtasks and delegating them to specialized agents. The system uses a multi-agent architecture to improve performance and scalability.

System Components

• Agent Orchestrator: The main controller that coordinates the work of the agents.
• Data Analyst Agent: Handles data analysis tasks.
• SQL Data Analyst Agent: Specialized in SQL-based data analysis.
• Visualization Server: Manages the visualization of data analysis results.

System Design Diagram:

Setup

1. Install dependencies:

uv venv
uv sync

2. Set up environment variables:

cp .env.example .env # OPENAI_API_KEY

3. Run the application:

python main.py

Usage

1. Access the API at http://localhost:8080.
2. Use the endpoints provided by the API to interact with the system.

Testing

1. Run tests:

python -m pytest

2. Run coverage report:

python -m pytest --cov=app

License

MIT License

Acknowledgments

• FastAPI
• SQLAlchemy
• Plotly
• OpenAI
• IDX
• Pydantic_AI
• LangGraph