ghenghis / crewai-updated-tutorial-hierarchical

CrewAI Hierarchical Tutorial

Overview

This repository hosts the updated CrewAI tutorial, showcasing advanced AI-powered automation through hierarchical, asynchronous tasks with callbacks and predefined expected outputs. It is designed to illustrate an enhanced workflow for building AI-driven newsletter automation tools.

Features

• Hierarchical Task Management: Leverage the power of structured task execution to maintain a clean and scalable codebase.
• Asynchronous Tasks: Improve performance with non-blocking operations, allowing tasks to run concurrently.
• Callbacks: Ensure that each task can trigger subsequent actions upon completion, enabling a reactive task flow.
• Expected Outputs: Define the anticipated results for each task, streamlining debugging and ensuring quality control.

Installation

To get started with the CrewAI Hierarchical Tutorial, clone the repository and install the necessary dependencies.

git clone https://github.com/your-github-username/crewai-hierarchical-tutorial.git
cd crewai-hierarchical-tutorial
pip install -r requirements.txt

Usage

To run the CrewAI tutorial, execute the main script after setting up your environment variables and configuration.

python main.py

Structure

main.py: The entry point script that initializes the agents and tasks, and forms the AI crew.

agents.py: Defines various agents like the editor, news fetcher, news analyzer, and newsletter compiler.

tasks.py: Contains the task definitions that are used by the agents to perform specific operations.

file_io.py: Manages file input/output operations, crucial for handling the async flow of data.

Crew Formation The crew is composed of multiple agents and tasks orchestrated to perform complex newsletter automation.

crew = Crew(
    agents=[editor, news_fetcher, news_analyzer, newsletter_compiler],
    tasks=[fetch_news_task, analyze_news_task, compile_newsletter_task],
    process=Process.hierarchical,
    manager=lm=OpenAIGPT4,
    verbose=2
)

Contributing

Contributions to the CrewAI Hierarchical Tutorial are welcome. Please feel free to fork the repository, make your changes, and submit a pull request.

Questions & Support

For questions and support, please open an issue in the repository, and we will be happy to assist you.