The RIGHT WAY To Build AI Agents with CrewAI (BONUS: 100% Local)

Step-by-Step Tutorial: Building AI Agents with CrewAI

Setting Up the Environment

1. Sign up for a new studio account on CrewAI.
2. Create a new studio by clicking on "New Studio" and then "Start".
3. Create a new folder named "source" by right-clicking and selecting "New Folder".
4. Within the "source" folder, create another folder for your specific crew, for example, "financial analyst crew".
5. Inside the crew folder, create a "config" folder to structure the definitions of tasks and agents.

Defining Tasks

6. Define tasks using YAML to structure your crew. For example, create tasks like "researching a specific company" and "analyzing financial metrics".
7. Define parameters within each task such as descriptions and expected outputs to guide the AI agents.

Defining Agents

8. Create agent definitions in a YAML file, matching each agent to a specific task.
9. Define agents' characteristics, such as their expertise and delegation preferences.

Creating Main File

10. Import necessary modules from CrewAI like agent, crew, process, and task.
11. Set up the environment using Lang Chain and Grock to power the AI models.
12. Define agent functions in the main file to link agents to tasks.

Running the AI Crew

13. Input company-specific details like the company name (e.g., Tesla) to trigger the AI crew's actions.
14. Use Grock API key to access external tools and resources for the AI agents.
15. Install dependencies using Poetry and run the AI crew script.

Testing the AI Crew

16. Run the AI crew script to see the AI agents in action, gathering financial data and performing analyses.
17. Ensure the AI crew functions smoothly and produces the desired financial reports and metrics.

Integrating Open-Source Models

18. Explore running the AI crew with open-source models powered by Lightning AI for enhanced performance.
19. Access pre-configured templates on CrewAI for different AI models and functionalities.
20. Expose the API endpoint to connect the AI crew with external models and resources.

Finalizing the Setup

21. Verify the AI crew's functionality with the open-source model and GPU support.
22. Monitor the AI crew's performance and resource usage through the studio interface.
23. Optimize the AI crew's operations by adjusting settings and configurations as needed.

By following these steps, you can effectively set up and manage an AI crew using CrewAI, integrate open-source models, and leverage GPU resources for enhanced AI performance.