Browse by type
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.
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
To run the CrewAI tutorial, execute the main script after setting up your environment variables and configuration.
python main.py
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
)
Contributions to the CrewAI Hierarchical Tutorial are welcome. Please feel free to fork the repository, make your changes, and submit a pull request.
For questions and support, please open an issue in the repository, and we will be happy to assist you.
$ claude mcp add crewai-updated-tutorial-hierarchical \
-- python -m otcore.mcp_server <graph>