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It is a simple-to-use, open-source evaluation framework for LLM applications. It is similar to Pytest but specialized for unit testing LLM applications. It evaluates performance based on metrics such as hallucination, answer relevancy, RAGAS, etc., using LLMs and various other NLP models locally on your machine. | Simultaneous multi-provider proxy for Claude Code - Do the splits with your Claude requests. - CedarVerse/vandamme-proxy |
Simple functions to unit test LLM applications in the CLI;
Gain insights to quickly iterate towards optimal hyperparameters;
Evaluate existing LLM applications built with other frameworks | llm-proxy, claude-code |
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It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.