Skip to content

Multi-Agent AI system that automatically retrieves the latest Football news and creates a newsletter

License

Notifications You must be signed in to change notification settings

arch3angel/multi-agent-ai-newsletter

 
 

Repository files navigation

Football Newsletter using a Multi-Agent AI System

Welcome to the AI Football Newsletter Crew project, powered by crewAI. This template is designed to help you set up a multi-agent AI system with ease, leveraging the powerful and flexible framework provided by crewAI. Our goal is to enable your agents to collaborate effectively on complex tasks, maximizing their collective intelligence and capabilities.

Installation

Ensure you have Python >=3.10 <=3.13 installed on your system. This project uses Poetry for dependency management and package handling, offering a seamless setup and execution experience.

First, if you haven't already, install Poetry:

pip install poetry

Next, navigate to your project directory and install the dependencies:

  1. First lock the dependencies and then install them:
poetry lock
poetry install

API Keys

Add your OPENAI_API_KEY and SERPER_API_KEY into a .env file

Running the Project

To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project:

streamlit run src/ai_football_newsletter/main.py

You can check the Agent's Chained thoughts and delegation in the terminal view.

Understanding the Crew

The ai-football-newsletter Crew is composed of multiple AI agents, each with unique roles, goals, and tools. These agents collaborate on a series of tasks, defined in config/tasks.yaml, leveraging their collective skills to achieve complex objectives. The config/agents.yaml file outlines the capabilities and configurations of each agent in your crew.

About

Multi-Agent AI system that automatically retrieves the latest Football news and creates a newsletter

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%