HoneyHive

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