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Setting Up Your Python Environment for Griptape

Kickoff and Foundations

Welcome to the getting started course for Griptape. We'll be using Visual Studio Code and the Griptape library, which make a great combo for coding with Large Language Models (LLMs).

What will I learn?

By the end of the course you will have the ability to use Griptape to work with Large Language Models. You will be setting up your Python environment, install a code editor, install Griptape, and be ready to go.
from dotenv import load_dotenv
from griptape.structures import Agent


# Create an agent
agent = Agent()

# Run the agent"Hello! I'm a new Griptape Developer!")

Who is this course for?

This course is aimed at beginners to intermediate level Python developers who are interested in setting up a Python environment to develop tools and applications with Griptape.

Why Visual Studio Code?

Using the right coding software (or Integrated Development Environment - IDE) can make your coding sessions a breeze... or not (if you choose the wrong one).

Visual Studio Code (VS Code for short) is our IDE of choice for a few reasons. It's lightweight, highly customizable, and has a vast range of extensions.

Griptape and Python

Griptape provides a simple, Pythonic interface to interact with these models, taking care of the complexities so we can focus on coding our applications.

In the next stages, we will be going through:

  • Setting Up: Here, we will install and set up the basic tools we need: Visual Studio Code, Python, and create our directory structure. We'll also ensure that you have the right Python environment in place.

  • OpenAI API Key: Before jumping into Griptape, we need to get our OpenAI API Key and set up our environment so it's ready.

  • Griptape: We'll install the Griptape library and send our first message to the LLM!

Are you ready to get started? Let's move on to Setting up your environment!