Next, create an API key to authenticate yourself. You can create an API key in your settings.

Create a script to initialize the Quotient logger:

from quotientai import QuotientAI, DetectionType

# initialize the quotient client
quotient = QuotientAI()

# initialize the logger
quotient.logger.init(
    app_name="my-first-app",
    environment="dev",
    sample_rate=1.0,
    detections=[DetectionType.HALLUCINATION, DetectionType.DOCUMENT_RELEVANCY],
    detection_sample_rate=1.0
)

# log your first event
response = quotient.log(
    user_query="How do I cook a goose?",
    model_output="The capital of France is Paris",
    documents=["Here is an excellent goose recipe..."]
)

print(response)

Using your API key, run the script to create your first log:

QUOTIENT_API_KEY=your-api-key python logging.py

You just created your first log! Now you can go to the Detections Dashboard to see your logs and any detected hallucinations or document relevancy evaluations.

Use the Detections Dashboard to:

• Track hallucinations in your LLM responses
• Evaluate document relevancy for your retrieval system
• Analyze attribution between responses and source documents
• Calculate hallucination rates across different environments
• Optimize your prompts and retrieval system