HoneyHive
Free tierAgent Observability and Evaluation Platform
Free tier available·All audiences·API available
Key strengths
Agent tracing and observabilityOnline and offline evaluationsMonitoring with drift detection and alertsExperiment and regression testingAnnotation queues for human reviewPrompt management and versioningCI/CD integrationEnterprise self-hosting options
Free tier + paid plans
Self-hostable
No ratings yet
HoneyHive — Agent Observability and Evaluation Platform
HoneyHive is a freemium observability and evaluation platform purpose-built for teams developing and operating production AI agents. It provides end-to-end agent tracing, online/offline evaluations, drift detection, and prompt versioning — all accessible via API and designed to integrate into existing ML engineering workflows.
Key technical capabilities:
- Agent tracing & observability — Instrument AI agents with distributed tracing to capture full execution traces across multi-step pipelines.
- Online & offline evaluations — Run automated evaluations continuously in production (online) or against curated datasets (offline).
- Monitoring with drift detection & alerts — Detect behavioral drift and trigger alerts when agent outputs deviate from expected baselines.
- Experiment & regression testing — Compare model versions, prompts, and pipeline configurations with structured experiment tracking.
- Annotation queues — Route traces to human reviewers for labeling and feedback collection at scale.
- Prompt management & versioning — Version, compare, and deploy prompts with full lineage tracking.
- CI/CD integration — Gate deployments with evaluation checks via GitHub Actions and PyTest.
Integrations: OpenTelemetry, GitHub Actions, PyTest, Vite, Claude Code (MCP)
Deployment options: Cloud (SaaS), self-hosted, hybrid, and single-tenant — available on the Enterprise tier.
API available: Yes