Anthropic Disables Claude Fable 5 and Mythos 5 After US Government Order

Introduction

In this tutorial, you'll learn how to work with Claude, the AI language model developed by Anthropic. While the recent shutdown of Claude Fable 5 and Mythos 5 was due to government regulations, you can still interact with Claude's other models like Opus 4.8 using the official API. This tutorial will teach you how to set up your environment, make API requests, and understand how to work with AI language models in general.

Prerequisites

Before starting this tutorial, you'll need:

• A computer with internet access
• Basic understanding of programming concepts
• Python installed on your system
• An Anthropic API key (you'll need to sign up for one)

Step-by-Step Instructions

Step 1: Set Up Your Development Environment

First, you need to create a Python environment to work with the Claude API. Open your terminal or command prompt and create a new directory for this project:

mkdir claude-api-project
 cd claude-api-project

Next, create a virtual environment to keep your dependencies isolated:

python -m venv claude_env
source claude_env/bin/activate  # On Windows use: claude_env\Scripts\activate

This creates a clean environment where we can install the necessary packages without affecting your system's Python installation.

Step 2: Install Required Packages

Now, install the required Python packages for making API requests:

pip install anthropic requests

The anthropic package provides an official client for interacting with Anthropic's API, while requests is a general-purpose HTTP library that we'll use for making API calls.

Step 3: Get Your API Key

To use Claude, you need an API key from Anthropic. Visit Anthropic's website and sign up for an account. After signing up, navigate to the API section to generate your API key. Copy this key and store it in a secure location.

For security reasons, never hardcode your API key directly into your source code. Instead, we'll use environment variables to store it.

Step 4: Set Up Environment Variables

Create a file named .env in your project directory:

touch .env

Then add your API key to this file:

ANTHROPIC_API_KEY=your_api_key_here

Replace your_api_key_here with your actual API key. This approach keeps your credentials secure and separate from your code.

Step 5: Create Your Python Script

Create a new file called claude_demo.py:

touch claude_demo.py

Open this file in your code editor and add the following code:

import os
from anthropic import Anthropic
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# Initialize the Anthropic client
client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))

# Define a simple prompt
prompt = "Explain what a language model is in simple terms."

# Make a request to Claude
response = client.messages.create(
    model="claude-3-opus-20240229",  # Using the available model
    max_tokens=1000,
    messages=[
        {
            "role": "user",
            "content": prompt
        }
    ]
)

# Print the response
print(response.content[0].text)

This code sets up the connection to Claude, defines a simple question, and gets a response from the model.

Step 6: Run Your Script

Now, run your Python script:

python claude_demo.py

You should see Claude's response to your question about language models. The response will explain what language models are in simple terms, demonstrating how Claude can help with explanations.

Step 7: Experiment with Different Prompts

Try changing the prompt variable to different questions or tasks:

prompt = "What are the main differences between Claude and other AI models like GPT?"

# Or
prompt = "Can you summarize the key points of the recent news about Claude Fable 5?"

Each time you run the script with a new prompt, Claude will respond based on its training data and capabilities.

Step 8: Understanding Model Versions

Notice that we're using claude-3-opus-20240229 as the model name. This is one of the available Claude models that's still accessible. Different model versions have different capabilities:

• Claude 3 Opus: Most capable model, best for complex tasks
• Claude 3 Sonnet: Balanced model for most tasks
• Claude 3 Haiku: Fastest and most efficient model

Each model has different strengths, and the choice depends on your specific needs for speed, cost, and capability.

Summary

In this tutorial, you've learned how to set up a Python environment for working with Anthropic's Claude API, how to securely store your API key, and how to make requests to Claude models. You've also learned about the different Claude model versions available and how to experiment with different prompts. While some specific models like Fable 5 and Mythos 5 were disabled due to government regulations, you can still work with Claude's other available models like Opus 4.8 to create useful AI-powered applications.

This hands-on experience gives you a foundation for working with AI language models and understanding how to interact with them programmatically, which is valuable for developers and researchers working in AI.