Cachy: How we made our notebooks 60x faster (www.answer.ai)

AnswerAI has introduced "Cachy," a new open-source tool that enhances the efficiency of working with Large Language Models (LLMs) by significantly speeding up notebooks. This tool overcomes common challenges in LLM development, such as the time-consuming nature of API calls and the non-deterministic responses that complicate testing and code reviews. By implementing a straightforward modification to the popular httpx library, Cachy caches LLM responses and retrieves them in future requests, reducing test suite runtime from 2 minutes to just 2 seconds, while also creating cleaner notebook diffs. The significance of Cachy for the AI/ML community lies in its ability to streamline development workflows, thus fostering productivity in AI projects. Users can set up Cachy with minimal effort: simply install it via pip, import it, and enable caching. This not only eliminates the need for cumbersome manual mock setups but also allows developers to focus more on building and less on managing redundant code. Overall, Cachy represents a practical yet impactful advancement for anyone working with LLMs, enhancing both efficiency and usability in AI development tasks.