HoneyHive

What is HoneyHive?

HoneyHive is an agent observability platform. It records the prompts, tool calls, outputs and handoffs of AI agents, scores live traffic, and lets teams compare versions offline before release. It is OpenTelemetry-native and vendor-agnostic.

Key capabilities of HoneyHive

• Tracing: inspect prompts, tool calls, outputs and long-running agent trajectories.
• Online evaluations: score live traffic with LLM judges, code evaluators or human feedback.
• Monitoring and alerts: track quality, cost, latency and usage with email or webhook alerts.
• Experiments: compare agent versions against datasets and gate releases in CI.
• Datasets and annotation queues: build regression sets from traces and route flagged traces to reviewers.
• Prompt management: version, test and deploy prompts.

How HoneyHive works

You instrument your agent with OpenTelemetry or an SDK, traces flow into HoneyHive, and evaluators score them. Failing traces become dataset rows, experiments check changes offline, and alerts fire when production metrics drift. An MCP server and CLI let coding agents work with the data.

Who uses HoneyHive?

AI and platform engineering teams running agents in production. Deployment options include SaaS, hybrid with traces in your cloud, or fully self-hosted; the vendor lists SOC 2 Type II, GDPR with EU residency and a HIPAA BAA.

HoneyHive pricing

The site offers a "Start for free" sign-up and links to a pricing page, but does not list plans or limits on its homepage.

HoneyHive alternatives

Keywords AI combines an LLM gateway with monitoring. Latitude is a platform for prompt engineering and evaluation. Dataiku is a broad enterprise data science and AI platform where LLM monitoring is one part of a larger suite.