Skip to content
View Anibus's full-sized avatar
  • Independent Developer
  • Los Angeles, Ca

Block or report Anibus

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Anibus/README.README
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.

bash
Copy code
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.

bash
Copy code
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.

python
Copy code
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.

Pinned Loading

  1. vrf-lottery-dapp vrf-lottery-dapp Public

    Forked from flowstatechris/vrf-lottery-dapp

    JavaScript