Orientation: AI Agent Development

Welcome! You are starting a program dedicated to AI Agent Development (Agentic Engineering).

[!NOTE] Sequential Prerequisite (Step 5 of 5) This program is Step 5 in your learning path. For the best experience, we suggest completing the prior courses first, as this project integrates the Python CLI from SOLO Fundamentals with the database schemas and security wrappers developed across the previous steps.

In traditional programming, you write exact instructions for every step a computer must take. In agentic engineering, you build autonomous software systems that are given a high-level goal, evaluate choices, execute functions (tools), and self-correct when errors arise.

Cost Safety: 100% Free Google AI Studio

Developing LLM applications can get expensive if you use paid developer credits. To make this curriculum completely accessible, we use the Gemini API Free Tier via Google AI Studio:

• Cost: $0.00 (completely free, no credit card required to sign up).
• Rate Limits: 15 Requests Per Minute (RPM), which is plenty for local developer testing and debugging.

Setup Your API Key:

1. Go to Google AI Studio and sign in with a Google account.
2. Click Get API Key and create a key.
3. Add the key to your local environment shell session or your project's .env file:
   • Mac/Linux: export GEMINI_API_KEY="your_api_key_here"
   • Windows (CMD): set GEMINI_API_KEY="your_api_key_here"
   • Windows (PowerShell): $env:GEMINI_API_KEY="your_api_key_here"

Install dependencies:

Create a new folder agent-playground and set up your virtual environment, then install the official Google GenAI SDK:

pip install google-genai pydantic python-dotenv pytest

Let's get started!