Tool overview
HoneyHive is listed under AI Governance Safety & Evaluation AI tools.
What is HoneyHive?
HoneyHive combines distributed tracing, prompt versioning, evaluations, experiments, datasets, annotation, monitoring, and production feedback for AI applications. The Developer plan is free, while enterprise customers can use managed, hybrid, or self-hosted deployment.
Best for
AI teams operating and improving production agents
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
OpenTelemetry-native distributed tracing
Offline and online evaluation workflows
Prompt versioning, datasets, and experiments
Managed, hybrid, and self-hosted deployment options
Use cases
Trace multi-step agent sessions
Evaluate releases before deployment
Monitor production quality and latency
Collect human feedback and annotations
Pros
- Free Developer plan without a card
- Unified observability and evaluation workflow
- Python, TypeScript, API, and OTEL support
Limitations
The platform supplies evaluation infrastructure, but teams must design trustworthy datasets, metrics, and review processes.
Self-hosting requires supported Kubernetes and data infrastructure.
Pricing details
Billing options
Pricing note
Developer is free with 10,000 events per month, up to five users, one workspace, and 30-day retention. Enterprise has custom pricing and expanded hosting, retention, and security options.
Supported languages
- English
Integrations
LangChain
LangGraph
AWS Strands
Google ADK
OpenAI Agents SDK
50+ libraries
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