HoneyHive
An AI observability and evaluation platform that helps developers monitor, evaluate, test, and optimize large language model applications through tracing, experiment management, prompt evaluation, and performance analytics.
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Related terms
The practice of monitoring, tracing, and analyzing AI systems to understand their behavior, performance, reliability, and operational health in production.
Experiment TrackingThe process of recording and managing information about AI experiments, including datasets, models, hyperparameters, code versions, metrics, and outcomes to enable reproducibility and comparison.
Distributed TracingAn observability technique that tracks requests as they flow across multiple distributed services to measure latency, diagnose failures, and analyze system behavior.