The HoneyHive platform includes a Playground for early prototyping, an Evaluations SDK for testing and monitoring, and an online monitoring system inspired by product, software & ML observability. The platform has already been used by companies like MultiOn to evaluate and monitor their agents and fine-tune open source models. HoneyHive launched its public beta and plans to open the platform for general access in the coming weeks. The founders are seeking feedback from the developer community to further improve the platform.
Key takeaways:
- HoneyHive is a set of tools designed to evaluate, monitor, and improve LLM systems, making them production-ready and reliable.
- The typical workflow of most companies involves various tools like OpenAI Playground, Google Sheets, Mixpanel, Sentry, etc., which do not scale to multi-step LLM pipelines. HoneyHive aims to replace this workflow with a more efficient and scalable tool.
- HoneyHive's features include Studio for prototyping, Offline Evaluations SDK for evaluations, and Online Monitoring for observing multimodal LLM pipelines. These features are designed to help teams collaborate, extend across single prompts, agents, chains, and RAG pipelines, and discover trends and anomalies.
- HoneyHive has already enabled multiple companies, like MultiOn, to evaluate and monitor their agents, set up moderation filters in production, and integrate their evaluation pipelines with their fine-tuning pipelines.