Athina-evals provides a Python SDK for evaluating Large Language Model (LLM) responses, offering over 50 preset evaluations and support for custom ones. It's designed for AI teams focused on observability and experimentation, serving as a companion to the Athina IDE for prototyping, running experiments, and comparing datasets.

How It Works

The SDK allows programmatic execution of evaluations, with results visualized and managed within the Athina IDE. This integrated approach facilitates side-by-side dataset comparison and experiment tracking, streamlining the LLM development lifecycle.

Quick Start & Requirements

• Install: pip install athina-evals
• For CodeExecutionV2 evaluations, install e2b-code-interpreter.
• Requires an Athina API key, obtainable from https://app.athina.ai.
• Quick start guide available in a notebook: https://github.com/athina-ai/athina-evals/blob/main/notebooks/quickstart.ipynb

Highlighted Details

• Over 50 preset evaluations available.
• Supports custom evaluation creation.
• Integrates with Athina IDE for enhanced workflow.
• Enables side-by-side dataset comparison.

Maintenance & Community

No specific contributor or community details are provided in the README.

Licensing & Compatibility

The README does not specify a license.

Limitations & Caveats

The README does not detail any limitations or caveats.