HoneyHive
HoneyHive is an AI developer platform that provides essential tools for teams to safely deploy and continuously improve Language and Learni...
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What is HoneyHive?
HoneyHive is the AI observability and evaluation platform that enables teams to debug, evaluate, and monitor AI agents throughout the entire Agent Development Lifecycle. It unifies observability and evaluation into a continuous improvement loop, allowing every team across a business to ship quality agents with confidence. The platform provides distributed tracing instrumented via OpenTelemetry, giving visibility into every LLM call, tool invocation, and chain step in AI applications.
Key features include OpenTelemetry-native distributed tracing that works across 100+ LLMs and agent frameworks, online evaluations using LLM-as-a-judge or custom code, session replays in the Playground, monitoring with alerts and drift detection, custom dashboards, offline experiments against curated datasets, annotation queues for human review, and centralized prompt management with Git-native versioning. The platform supports graph and timeline views for debugging complex multi-agent systems, root-cause analysis with AI, and CI/CD integration for automated test suites.
HoneyHive is designed for AI engineers, developers, and domain experts building production AI agents. It serves teams from AI startups to Fortune 500 enterprises, including organizations like Australia's largest bank (CBA) deploying mission-critical AI systems. The platform is ideal for teams who need to move beyond
HoneyHive pricing
Pricing model: Free
Free tier for individual developers: 10K events per month, up to 5 users, single workspace, 30-day data retention, full observability and evaluation suite, no credit card required. Enterprise plans include custom usage limits, Single Sign-On (SSO) and SAML support, VPC hosting add-ons, dedicated support with Service Level Animals (SLAs), private single-tenant dedicated cloud environments, and self-hosted deployment in your VPC for complete control and compliance. Contact HoneyHive directly for detailed enterprise pricing.
HoneyHive pros
- OpenTelemetry-native distributed tracing across 100+ LLMs and frameworks
- Works with any model, framework, or agent runtime supporting OTel
- Comprehensive online evaluation with LLM-as-a-judge and custom code evaluators
- Session replays in Playground to review chat interactions
- Root-cause analysis with AI giving coding agents context to fix issues
- Graph and timeline views for debugging complex multi-agent systems
- Custom dashboards for metrics that matter to your business
- 离线 experiments to test agents before production deployment
- 25+ pre-built evaluators for common quality metrics
- Git-native prompt versioning with CI/CD integration
- Annotation queues to bring domain experts into evaluation loop
- Alerts and drift detection to catch failures before users do
- Dataset curation with versioning across all artifacts
- Human review interface for domain expert grading
- Flexible deployment: SaaS, dedicated cloud, and self-hosted VPC options
- SOC 2 Type II, GDPR, HIPAA compliant for enterprise security
- Productivity gains: customers report 340% accuracy improvement
- Developers can get started in 5 minutes with quickstart guides
- Python and TypeScript SDKs with full REST API
- Model agnostic - supports OpenAI, Anthropic, Bedrock, open-source
HoneyHive cons
- Pricing information not transparently available on website
- Steep learning curve for teams new to AI observability
- Enterprise-focused features may be overkill for smaller projects
- Limited to teams with existing AI expertise
- Doesn't facilitate building new LLM-based applications from scratch
- Self-hosted deployment requires additional setup complexity
- May require specialized skills for OpenTelemetry instrumentation
- Free tier limited to 10K events per month and 5 users
- 30-day data retention on free plan may be insufficient for some
- No real-time processing capabilities for streaming data