promptfoo/promptfoo
Promptfoo is a CLI and library for evaluating LLM applications, offering automated testing, red teaming, and vulnerability scanning for prompts, models, agents, and RAGs.
Awesome Infra for AI › LLM Evaluation & Testing
relari-ai/continuous-eval
continuous-eval is an open-source Python package designed for the data-driven evaluation of applications powered by Large Language Models (LLMs). It emphasizes modularized evaluation, allowing users to measure individual components of an LLM pipeline with tailored metrics. The framework provides a comprehensive library of metrics covering various LLM use cases, including Retrieval-Augmented Generation (RAG), Code Generation, and Agent Tool Use, supporting deterministic, semantic, and LLM-based metrics. A key feature is its support for probabilistic evaluation, enabling more nuanced assessments of pipeline performance. The package facilitates running single metrics on data points or conducting full evaluations on datasets using the `EvaluationRunner` class. It also supports modular pipeline evaluation, where complex LLM systems composed of multiple modules (e.g., Retriever, Reranker, Generator) can be evaluated independently for each module. Users can define custom metrics, including LLM-as-a-Judge metrics, to suit specific evaluation criteria. It is provided as a PyPi package for easy installation and integration into existing ML workflows.
https://github.com/relari-ai/continuous-eval
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