AgentLabs

DeepEval is an open-source evaluation framework for LLM applications. It provides rich evaluation metrics and tools, supporting unit testing and integration testing to help developers build reliable LLM applications.

Framework for running agent evaluations and creating RL environments to measure and improve agent performance

An open-source tool from Meta for LLM prompt optimization. Automates the process of continuously improving and refining LLM prompts.

An open-source evaluation and testing library for LLM agents providing automated model scanning, bias detection, performance benchmarking, and compliance checks.