HoneyHive is the AI Observability and Evaluation Platform for developers and domain experts to collaborate on and build reliable AI applications faster.

HoneyHive enables modern AI teams to:

  • Trace: Log all AI application data to get visibility and debug execution steps.
  • Evaluate: Evaluate application, prompt, and component-level performance at scale.
  • Annotate Logs: Involve domain experts to review and annotate logs.
  • Run Experiments: Run experiments against datasets to quantify improvements and catch regressions pre-production.
  • Monitor Performance: Monitor application performance and explore your logs in production.
  • Manage Prompts: Manage, version, and deploy prompts separate from code.
  • Curate Datasets: Curate fine-tuning and evaluation datasets from your logs.
  • Collaborate: Share learnings with colleagues, and much more.

HoneyHive streamlines the AI app development process by bringing together disparate, broken workflows into a unified platform for faster iteration, better visibility, and collaboration. By enabling evaluation before & after production, we promote a Evaluation-Driven Development (EDD) workflow similar to TDD in software engineering, ensuring that your AI applications are reliable by design.

Our goal is to replace the current whack-a-mole AI development process with a unified framework that enables faster iteration for cross-functional teams and promotes quality and reliability at every step.

HoneyHive enables a continuous improvement data flywheel


Setup and Installation

Next Steps

If you are interested in a specific workflow, we recommend reading the walkthrough for the relevant product area.