HoneyHive

HoneyHive provides an observability and evaluation platform for production AI agents. It is designed for enterprises that run agents in complex environments and require visibility into agent behavior, safety, and performance. The tool focuses on making production AI observable, measurable, and trustworthy by offering traces, evaluations, and governance features in a unified system.

HoneyHive supports cross-functional teams that instrument, monitor, and improve agents across stacks and business units. The platform emphasizes practical, production-facing metrics and workflows to understand agent actions, assess outcomes, and drive improvements with structured data from traces, evaluations, and experiments.

It aims to standardize telemetry and evaluation across multiple tools and environments so teams can operate agents reliably.

HoneyHive presents itself as a platform that integrates observability, evaluation, and governance to help organizations deploy AI agents more safely. It highlights a cross-functional design, supporting multiple stacks and data environments, and emphasizes making production AI visible and trustworthy through continuous supervision and improvement.

Use cases

• Observability and evaluation for production AI agents
• Drift and quality monitoring for live traffic