Tas Crew

Welcome to the Tas 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.

Features

• Agent Configuration: Define agents with specific roles and capabilities through YAML configuration
• Task Management: Create and manage complex task workflows using task configuration files
• Flexible Architecture: Easily extend and customize agent behaviors and task execution
• Environment Management: Built-in support for environment variables and configuration
• Tool Integration: Add custom tools and capabilities to your agents

Project Structure

src/tas/
├── config/
│   ├── agents.yaml    # Agent definitions and configurations
│   └── tasks.yaml     # Task definitions and workflows
├── crew.py           # Core crew setup and coordination
└── main.py          # Application entry point

Installation

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

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

pip install uv

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

(Optional) Lock the dependencies and install them by using the CLI command:

crewai install

Customizing

Add your OPENAI_API_KEY into the .env file

• Modify src/tas/config/agents.yaml to define your agents:

  • Set agent roles, goals, and backstories
  • Configure memory and tool access
  • Adjust temperature and other agent parameters

• Modify src/tas/config/tasks.yaml to define your tasks:

  • Create sequential or parallel task workflows
  • Define task dependencies and outputs
  • Set task priorities and requirements

• Modify src/tas/crew.py to add your own:

  • Custom tools and integrations
  • Agent interaction patterns
  • Error handling and recovery logic

• Modify src/tas/main.py to customize:

  • Input handling and validation
  • Output formatting and storage
  • Execution flow control

Running the Project

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

$ crewai run

This command initializes the tas Crew, assembling the agents and assigning them tasks as defined in your configuration.

This example, unmodified, will run the create a report.md file with the output of a research on LLMs in the root folder.

Understanding Your Crew

The tas 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.

Support

For support, questions, or feedback regarding the Tas Crew or crewAI.

• Visit our documentation
• Reach out to us through our GitHub repository
• Join our Discord
• Chat with our docs

Let's create wonders together with the power and simplicity of crewAI.