elluminate 0.3.15

The Official Elluminate SDK

Elluminate SDK

Elluminate SDK is a Software Development Kit that provides a convenient way to interact with the Elluminate platform programmatically. It enables developers to evaluate and optimize prompts, manage experiments, and integrate Elluminate's powerful evaluation capabilities directly into their applications.

Installation

Install the Elluminate SDK using pip:

pip install elluminate

📚 Full Documentation

The full documentation of Elluminate including the SDK can be found at: https://docs.elluminate.de/

Quick Start

Prerequisites

Before you begin, you'll need to set up your API key:

1. Visit your project's "Keys" dashboard to create a new API key
2. Export your API key and service address as environment variables:

export ELLUMINATE_API_KEY=<your_api_key>
export ELLUMINATE_BASE_URL=<your_elluminate_service_address>

Never commit your API key to version control. For detailed information about API key management and security best practices, see our API Key Management Guide.

Basic Usage

Here's a simple example to evaluate your first prompt:

from elluminate import Client

# Initialize the client
client = Client()

# Create a prompt template
template = client.create_prompt_template(
    "Explain the concept of {{concept}} in simple terms."
)

# Generate evaluation criteria
criteria = client.generate_criteria(template)

# Create and evaluate a response
response = client.create_response(
    template=template,
    variables={"concept": "recursion"}
)

# Get the evaluation results
ratings = client.evaluate_response(response, criteria)

Alternative Client Initialization

You can also initialize the client by directly passing the API key and/or base url:

client = Client(api_key="your-api-key", base_url="your-base-url")

Advanced Features

Working with Collections

For more complex use cases, refer to our example with collections:

from elluminate import Client

client = Client()

# Create a collection of related prompts
collection = client.create_collection("Math Teaching Prompts")

# Add multiple templates to the collection
templates = [
    client.create_prompt_template(
        "Explain {{math_concept}} to a {{grade_level}} student",
        collection=collection
    ),
    client.create_prompt_template(
        "Provide practice problems for {{math_concept}}",
        collection=collection
    )
]

# Generate and evaluate responses for multiple templates
for template in templates:
    criteria = client.generate_criteria(template)
    response = client.create_response(
        template=template,
        variables={
            "math_concept": "fractions",
            "grade_level": "5th grade"
        }
    )
    ratings = client.evaluate_response(response, criteria)

Additional Resources

• General Documentation
• Key Concepts Guide
• API Documentation