Claude AI Toolkit Sample Code

python
from claude import ClaudeAI

# Set up the API client
claude = ClaudeAI(api_key="YOUR_API_KEY")

# Set the model to use
model = "claude-3-opus-20240229"

# Define the prompt
prompt = "Write a short story about a robot exploring a new planet."

# Generate text using the prompt
response = claude.generate_text(
    prompt=prompt,
    max_tokens=200,
    temperature=0.7,
    top_p=0.9,
    top_k=40,
    num_completions=1,
    stop_sequences=["\n"]
)

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

Key points:

- Import the `ClaudeAI` class from the `claude` module
- Set your API key obtained from Anthropic
- Specify the model to use, e.g. `"claude-3-opus-20240229"`
- Define the prompt for text generation
- Use `claude.generate_text()` to generate text based on the prompt
- Set parameters like `max_tokens`, `temperature`, `top_p`, `top_k`, `num_completions`, `stop_sequences`
- Access the generated text from `response.generations.text`

This demonstrates how to quickly integrate the Claude AI Toolkit into a Python project to generate text based on a given prompt. The toolkit provides a simple and lightweight interface to the Claude language models.

For more advanced usage, you can customize the prompt, adjust generation parameters, and handle the response in various ways depending on your specific use case. The toolkit also supports other features like image captioning and conversational AI.