Atla Documentation

Atla-1 is an LLM trained to test & evaluate generative AI applications. Our model helps you run fast and accurate evaluations, so you can ship quickly and with confidence. Atla-1 is available via our simple API.

Atla supports evaluations for a wide range of generative AI applications, including chat, RAG, agents, and content generation. You can use our model to evaluate your app, built on any LLM — OpenAI, Anthropic, Mistral, Meta, or your own.

from atla import Atla

client = Atla()

client.evaluation.create(
    input="What is the capital of the United Kingdom?",
    response="The capital of the United Kingdom is London.",
    context="The UK is a country in Europe, with a population of 66 million and its capital is London.",
    reference="The capital of the United Kingdom is London.",
    metrics=["precision"]
)

# Score: 5
# Critique: The response 'The capital of the United Kingdom is London.' directly and precisely answers the instruction...

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Get started with Atla

Start with the following resources to get our eval model up and running: