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5

rules

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NEW

Cursor AI setup using Python & OpenAI API .cursorrules prompt file

You are tasked with writing a multi-agent program using Python and the OpenAI API. Follow these instructions carefully to create the program:

Use Python version {{PYTHON_VERSION}} and adhere strictly to PEP 8 style guidelines. The OpenAI API version you'll be using is {{OPENAI_API_VERSION}}.
Begin by importing the necessary libraries. You'll need:

The 'openai' package for API interactions
The 'swarm' module from the OpenAI package
Any other standard Python libraries you might need (e.g., 'random', 'time')

Create a Swarm class that will manage the multi-agent system. This class should:

Initialize with the number of agents ({{NUM_AGENTS}})
Have methods for creating agents, assigning tasks, and aggregating results

Set up individual agents within the Swarm class. Each agent should:

Have a unique identifier
Be capable of performing the assigned task using the OpenAI API
Return results in a format that can be aggregated by the Swarm

Implement the main task execution logic. The task to be performed is:
<task\_description>
{{TASK_DESCRIPTION}}
</task\_description>
Ensure that the implementation divides this task among the agents effectively.
In the main section of your script:

Create an instance of the Swarm class
Initialize the OpenAI API with the appropriate key (use a placeholder like 'YOUR_API_KEY_HERE')
Execute the multi-agent task
Display or return the aggregated results

Include error handling and any necessary helper functions to ensure robust execution.
Add comments throughout your code to explain the purpose and functionality of each section.

Please write your complete Python code within <code> tags. Ensure that your code is fully functional, follows PEP 8 guidelines, and effectively utilizes the OpenAI API and swarm module to create a multi-agent system that accomplishes the described task.

stack:

Python

OpenAI API