Observability and evaluation platform for production LLM agents, built on OpenTelemetry for tracing, monitoring and testing.
What it does
HoneyHive is an AI observability and evaluation platform for teams running LLM agents in production. It unifies OpenTelemetry-based tracing, live and offline evaluation, prompt management and human review into one loop so teams can debug agents and catch regressions before shipping.
How to use: 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.
Core features
OpenTelemetry-native distributed tracing across 100+ LLMs and frameworks
Online evaluation via LLM-as-a-judge or code
Offline experiments and regression detection
Annotation queues for expert review
Alerts and drift detection
Prompt management, CLI and docs MCP server
Best for
→Debugging multi-agent systems
→Monitoring live agent quality at scale
→Catching regressions before release
→Human review of edge cases
→Aligning automated evaluators with domain experts
Pricing
Developer
$0
Toolspool rankingby monthly traffic