The US blacklisted Anthropic as a security threat. Its spy agencies are using Claude anyway.

Introduction

In this tutorial, you'll learn how to interact with AI models like Claude using Python. This is a practical introduction to working with large language models (LLMs) that are being used by government agencies like the NSA. You'll set up a simple Python environment, install the necessary libraries, and write code to send prompts to an AI model and receive responses. This tutorial demonstrates the foundational skills needed to work with AI systems that power modern applications.

Prerequisites

Before starting this tutorial, you'll need:

• A computer running Windows, macOS, or Linux
• Python 3.7 or higher installed on your system
• Basic understanding of how to use a command line or terminal
• An internet connection

Step-by-Step Instructions

Step 1: Set Up Your Python Environment

Why:

Before working with AI models, we need to create a clean environment where we can install the required packages without conflicts.

1. Open your terminal or command prompt
2. Create a new directory for this project by typing: mkdir ai_project
3. Navigate to the new directory: cd ai_project
4. Create a virtual environment: python -m venv ai_env
5. Activate the virtual environment:
   • On Windows: ai_env\Scripts\activate
   • On macOS/Linux: source ai_env/bin/activate

Step 2: Install Required Libraries

Why:

We need to install the openai Python library to communicate with AI models. This library provides a simple interface to interact with OpenAI's API and other compatible models.

1. In your activated virtual environment, run: pip install openai
2. Also install python-dotenv to manage API keys securely: pip install python-dotenv

Step 3: Get Your API Key

Why:

Most AI models require an API key for access. While we won't be using Anthropic's Claude directly in this tutorial, this process shows how developers connect to AI services.

1. Visit https://platform.openai.com/ and create an account if you don't have one
2. Go to the API section and create a new secret key
3. Copy the key and save it in a secure location

Step 4: Create Your Environment File

Why:

Storing API keys in environment variables is a security best practice. This prevents accidentally sharing your keys in code repositories.

1. Create a new file called .env in your project directory
2. Add your API key to the file in this format: OPENAI_API_KEY=your_api_key_here
3. Save the file

Step 5: Write Your Python Script

Why:

This script demonstrates how to connect to an AI model, send a prompt, and receive a response. This is the basic pattern used by developers building AI applications.

1. Create a new file called ai_interaction.py
2. Open the file in a text editor and add the following code:

import os
from openai import OpenAI
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Initialize the client with your API key
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

# Define a simple function to interact with the AI
def ask_ai(prompt):
    try:
        response = client.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=[
                {"role": "user", "content": prompt}
            ],
            max_tokens=150
        )
        return response.choices[0].message.content.strip()
    except Exception as e:
        return f"Error: {str(e)}"

# Example usage
if __name__ == "__main__":
    user_prompt = "Explain what a large language model is in simple terms."
    ai_response = ask_ai(user_prompt)
    print("User: " + user_prompt)
    print("AI: " + ai_response)

Step 6: Run Your Script

Why:

Running the script will test that your setup works correctly and that you can communicate with an AI model.

1. In your terminal, make sure your virtual environment is activated
2. Run the script with: python ai_interaction.py
3. You should see output showing your prompt and the AI's response

Step 7: Customize Your AI Interaction

Why:

Now that you have the basic setup working, you can modify the script to try different prompts or explore other features of the AI model.

1. Modify the user_prompt variable in the script to ask different questions
2. Try asking about current events, technical concepts, or creative writing
3. Experiment with different models by changing "gpt-3.5-turbo" to "gpt-4" or other available models

Summary

This tutorial introduced you to the basics of working with AI models using Python. You learned how to set up a Python environment, install necessary libraries, manage API keys securely, and write a script to communicate with an AI model. While this tutorial uses OpenAI's models, the concepts apply to other AI services including those used by government agencies like the NSA. Understanding these fundamentals is essential for anyone interested in AI development or working with advanced technologies in government and industry.