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.

Key Features of HoneyHive

• AI Evaluation
• Observability
• Prompt Management
• Dataset Management
• Distributed Tracing
• Production Monitoring

Use Cases for HoneyHive

• 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.