From 810e2d7ed1b189f1b5b0fd18588755edc8897dcc Mon Sep 17 00:00:00 2001 From: Dhruv Singh Date: Wed, 20 Dec 2023 16:38:06 -0500 Subject: [PATCH] Added HoneyHive to related resources (#936) Co-authored-by: Shyamal H Anadkat --- articles/related_resources.md | 1 + 1 file changed, 1 insertion(+) diff --git a/articles/related_resources.md b/articles/related_resources.md index 492d536c7d..f9ac312d6a 100644 --- a/articles/related_resources.md +++ b/articles/related_resources.md @@ -11,6 +11,7 @@ People are writing great tools and papers for improving outputs from GPT. Here a - [Guardrails.ai](https://shreyar.github.io/guardrails/): A Python library for validating outputs and retrying failures. Still in alpha, so expect sharp edges and bugs. - [Guidance](https://github.com/microsoft/guidance): A handy looking Python library from Microsoft that uses Handlebars templating to interleave generation, prompting, and logical control. - [Haystack](https://github.com/deepset-ai/haystack): Open-source LLM orchestration framework to build customizable, production-ready LLM applications in Python. +- [HoneyHive](https://honeyhive.ai): An enterprise platform to evaluate, debug, and monitor LLM apps. - [LangChain](https://github.com/hwchase17/langchain): A popular Python/JavaScript library for chaining sequences of language model prompts. - [LiteLLM](https://github.com/BerriAI/litellm): A minimal Python library for calling LLM APIs with a consistent format. - [LlamaIndex](https://github.com/jerryjliu/llama_index): A Python library for augmenting LLM apps with data.