Agent-Based Approach with Modular Roles
This script employs an agent-based approach to problem-solving, utilizing modular roles to enhance collaborative efforts towards a common goal. Each agent assumes a specific sub-role, contributing uniquely to the overall task. The process involves:
- Analyst: Analyzes requirements and drafts an initial solution.
- Reviewer: Reviews the draft for quality, readability, and coherence.
- Developer: Refines and completes the solution based on the review.
- Manager: Summarizes and explains the final solution.
The system leverages the Groq API for generating responses, ensuring a structured and efficient workflow.
python main.py 'Generate a python function that explores the optimized primality tests and more efficient algorithms for generating prime numbers.'
https://console.groq.com/docs/quickstart
This open-source language model is provided by Groq, licensed under the Apache License 2.0. You can find the full license terms at Apache.org/LICENSE-2.0.txt
License Credits
Apache License 2.0 (Apache-2.0) https://www.apache.org/licenses/LICENSE-2.0
You can copy and use the above example in your project's documentation, about page, or credits section. This way, you're giving proper attribution to the creators of the language model and complying with the Apache License 2.0.
Remember to include the Apache License 2.0 link, so users can access the full license terms if needed. Also, you can customize the attribution section to fit your project's style and tone.