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Python Setup

Let's set up a virtual environment for our project.

Virtual environments are Python's way to keep dependencies (e.g., the OpenAI library we're going to use) separate from other projects on our machine.

Throughout this project, we'll suggest file names and locations to keep your code organized. If you're unsure, follow our structure. You can organize things differently, but keep any paths required by the CLI tests.

Assignment

Use uv to create a new project. It'll create the directory and also initialize a Git repo in it.
```
uv init --no-package your-project-name
cd your-project-name
```
Create a virtual environment at the top level of your project directory:
```
uv venv
```
Make sure your virtual environment directory, usually .venv or venv, is added to your .gitignore file.
Activate the virtual environment:
```
source .venv/bin/activate
```
You should see something like (your-project-name) in your terminal prompt; for example, mine is:
```
(aiagent) wagslane@MacBook-Pro-2 aiagent %
```
Always make sure your virtual environment is activated when running code or using the Boot.dev CLI in this course.
Use uv to add two dependencies to the project, with these specific versions. They will be added to pyproject.toml:
```
uv add openai==2.44.0
uv add python-dotenv==1.1.0
```
This tells Python that this project requires openai version 2.44.0 and python-dotenv version 1.1.0.

To run the project using the uv virtual environment, you can use the following command:

uv run main.py

In your terminal, you should see something like Hello from YOUR PROJECT NAME.

Submit the CLI tests while in your virtual environment.