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HoneyHive
FreeStarting price
19KMonthly visits
21Popularity
About HoneyHive
HoneyHive provides observability and evaluation capabilities for AI agents operating in production environments. It enables tracing of agent behavior by capturing every prompt, tool call, output, and handoff, allowing detailed inspection of agent runs. The platform supports online evaluations to score agent quality and safety using live production traffic, while monitoring tracks metrics such as cost, latency, usage, and outcomes over time. Alerts can be configured to detect behavior drift and investigate underlying traces. HoneyHive also facilitates offline experiments to evaluate agents against datasets before deployment, and allows building regression suites from real production cases. Domain experts can contribute evaluation data through annotation queues, and prompt management features support versioning, testing, and deployment of prompts. The platform is designed for enterprises running mission-critical AI agents and emphasizes improving agent performance through real-world feedback and structured evaluation processes.
Key features
- Prompt and tool call tracing
- Online and offline agent evaluation
- Real-time monitoring and alerting
- Regression suite creation from production data
- Annotation queues for expert review
- Prompt versioning and deployment
- Multi-turn session support
- Groundedness and quality scoring
Use cases
- Debugging long-running agent workflows with multi-step trajectories
- Evaluating agent performance against production datasets before deployment
- Monitoring agent behavior drift in live production environments
Pros
- End-to-end tracing of agent interactions including prompts, tool calls, and handoffs
- Online and offline evaluation capabilities with customizable scoring methods
- Real-time monitoring of quality, cost, latency, and usage metrics
- Alerts for detecting behavior drift and anomalies in production
- Support for expert annotation and dataset creation from production traces
Cons
- No pricing transparency beyond enterprise tiers
- Requires booking a demo to access detailed features
- Limited information on free tier usage limits
Frequently asked questions about HoneyHive
What is HoneyHive and what does it do?
HoneyHive is an agent observability and evaluation platform designed for enterprises running mission-critical AI agents in production. It provides tracing, monitoring, and evaluation capabilities to inspect agent behavior, track performance metrics, and detect issues in real time.
Who should use HoneyHive?
HoneyHive is intended for enterprises that deploy AI agents in production environments and require robust monitoring, evaluation, and debugging capabilities to ensure reliability, safety, and performance.
How does HoneyHive help with agent evaluation?
HoneyHive supports both online and offline evaluations. Online evaluations score agent quality and safety using live production traffic, while offline experiments allow testing against datasets before deployment. It also enables building regression suites from real production cases.
Can HoneyHive detect issues in agent behavior?
Yes, HoneyHive includes alerting features to detect behavior drift and anomalies in agent performance. It monitors metrics such as quality, cost, latency, and outcomes, and notifies users when thresholds are breached.
Does HoneyHive support prompt management?
Yes, HoneyHive offers prompt management features, including versioning, testing, and deployment of prompts, allowing teams to iterate and deploy prompts with confidence.
How can domain experts contribute to evaluations in HoneyHive?
HoneyHive provides annotation queues where domain experts can review and contribute evaluation data, turning their expertise into reusable evaluation datasets for improving agent performance.
HoneyHive Website Engagement
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