HoneyHive

HoneyHive is an AI observability and evaluation platform that helps organizations observe, evaluate, and improve AI agents in production. It provides a unified solution for every team to trace, monitor, experiment, and gather human feedback on AI workflows.

Key Features

• Distributed Tracing: OpenTelemetry-native tracing of end-to-end AI workflows across 100+ LLMs and agent frameworks.
• Online Evaluation: Run live evals to detect quality, safety, and other failures in real-time traffic.
• Monitoring & Alerts: Continuously monitor agent failures, track quality alongside latency and cost, and receive real-time alerts.
• Experiments: Offline testing against datasets, regression detection, and CI/CD integration for automated test suites.
• Annotation Queues: Involve domain experts in reviewing edge cases and aligning evaluations with business context.
• Security & Compliance: SOC 2 Type II, GDPR, HIPAA compliant; SSO, SAML, RBAC; hybrid and self-hosting options.

Use Cases

• Debugging complex multi-agent systems.
• Catching regressions before releases.
• Standardizing telemetry across applications.
• Curating datasets with expert feedback to improve agent quality.

Who It’s For

AI engineering teams, from startups to Fortune 500 enterprises, looking to deploy safe and reliable AI agents.

Key Benefits

• OpenTelemetry-native, works across 100+ LLMs and agent frameworks.
• Enterprise-grade security with SOC 2, GDPR, HIPAA compliance.
• End-to-end tracing, monitoring, and online evaluation in one platform.
• Supports human feedback loops through annotation queues.