What is HoneyHive?

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

HoneyHive enables modern AI teams to:

• Trace: Log all AI application data using OpenTelemetry to debug execution steps.
• Evaluate Offline: Evaluate application, prompt, and component-level quality against a dataset to quantify improvements and regressions.
• Evaluate Online: Run evals asynchronously on traces and spans to monitor usage, performance, and quality metrics in production.
• Log Annotations: Involve internal SMEs to annotate logs in the UI, or collect feedback from end-users.
• Manage Artifacts: Manage and version prompts, tools, datasets, and evaluators in the cloud, synced between UI and code.

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 workflow that enables faster iteration for cross-functional teams and promotes quality and reliability at every step.

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Setup and Installation

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Next Steps

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