AI Agents — From Concepts to Practical Implementation in Python

This will change the way you think about AI and its capabilities

Motivation

As an African proverb states:

Alone, we go faster. Together, we go further.

This also relates to the idea that no one can be an expert in every field. Team work and effective delegation of tasks becomes crucial to achieve great things.

Similar principles applies to Large Language Models (LLMs). Instead of prompting a single LLM to handle a complex task, we can combine multiple LLMs or AI Agents , each one specializing in a specific area.

This strategy can lead to a more robust system with higher-quality results.

In this article you will learn:

• What AI Agents are
• Why it is worth considering them to solving real-world use cases
• How to create a complete AI Agents system from scratch

General Workflow of the system

Before diving into any coding, let’s have a clear understanding of the main components of the system being built in this article.

Autonomous AI Agents workflow (Image by Author)

• The workflow has overall…