HoneyHive

What is HoneyHive?

HoneyHive is an AI observability and evaluation platform designed for teams building LLM applications. It provides tools for AI evaluation, testing, and observability, enabling engineers, PMs, and domain experts to collaborate within a unified LLMOps platform. HoneyHive helps teams test and evaluate their applications, monitor and debug LLM failures in production, and manage prompts within a collaborative workspace.

How to use HoneyHive?

Use HoneyHive to test, debug, monitor, and optimize AI agents. Start by integrating the platform with your AI application using OpenTelemetry or REST APIs. Then, use the platform’s features to evaluate AI quality, debug issues with distributed tracing, monitor performance metrics, and manage prompts and datasets collaboratively.

HoneyHive’s Core Features

AI Evaluation Observability Prompt Management Dataset Management Distributed Tracing Production Monitoring

HoneyHive’s Use Cases

• Systematically measure AI quality with evals.
• Debug and improve agents with traces.
• Monitor cost, latency, and quality at every step.
• Collaborate with your team in UI or code for artifact management.