HoneyHive
Observability and evaluation platform for AI agents in production
About HoneyHive
HoneyHive provides tracing, online evaluations, monitoring, alerts, experiments and datasets for enterprises running AI agents, with annotation queues and prompt management.
Common use cases
- Monitoring agents
- Regression testing
- Expert review workflows
Products and services
Tracing
Records prompts, tool calls, outputs and handoffs.
Online Evaluations
Scores quality and safety on live traffic.
Experiments and Datasets
Offline testing and regression suites.
Monitoring and Alerts
Tracks quality, cost and drift.
Key features
- Tracing
- Online evals
- Drift alerts
- Experiments
- Annotation queues
- Prompt versioning
HoneyHive alternatives
- Arize AIObservability and evaluation platform for AI agents, LLMs and ML models
- LangfuseOpen source LLM observability, prompt management and evaluation platform
- BraintrustEvaluation and observability platform for AI agents
- GalileoEvaluation, observability and guardrails platform for AI agents and LLM apps
FAQs
What does it track?
Quality, cost, latency and usage of agents.
Offline testing?
Yes, via experiments and datasets.
Human review?
Annotation queues turn expert reviews into eval data.

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