What is HoneyHive?
Modern AI Observability and Evaluation
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
HoneyHive Cloud Setup
How to get started with HoneyHive on our managed cloud.
Self-Hosting Installation
How to install HoneyHive in your virtual private cloud.
Next Steps
If you are interested in a specific workflow, we recommend reading the walkthrough for the relevant product area.