Production AI starts with observability.
HoneyHive is the agent observability platform behind mission-critical AI — how enterprises observe, evaluate, and trust the agents they run in production.
Agents drift, regress, and fail silently. HoneyHive is how you observe agent behavior, evaluate every output, and improve quality with every release.
See what your agent actually did.
Inspect every trace
Replay any run step by step: every tool call, prompt, and decision in the order it happened. Jump straight to the span where behavior broke.
Debug long running agents
Follow trajectories that spans hours or days: retries, loops, and handoffs between sub-agents. Find the step where it started going wrong.
Monitor quality in production
Evaluate live traffic and connect scores with real user outcomes, so quality is measured against production, not your test suites.
Alert before users notice
Set thresholds on any score, detect drift, and get notified when one breaks, by email or webhook.
Turn production behavior into better releases.
Run experiments, spot regressions
Compare agent versions on the same dataset and see exactly what improved, what regressed, and whether a change is ready to ship.
Build a dataset from real traces
Automatically turn production failures into test suites. Test every future version against the cases that actually broke production.
Evaluate using LLMs or code
Score LLM outputs, tool calls, A2A interactions, and full trajectories using LLM judges, custom code, or composite evaluators.
Bring experts into the loop
Automatically route flagged traces to annotation queues where domain experts can judge what happened.
Find the failure. Then fix it.
Root-cause the failure
Investigate alerts with your coding agent using HoneyHive MCP, CLI, and purpose-built Skills.
Fix it at the source
Make the fix, version the prompt, re-run the evals that caught it, and redeploy in the same pass.
Gate the release
Run automated evals in CI on every release and block anything that regresses from reaching users.
Let agents run the loop
Let your coding agents run the optimization loop with purpose-built Skills for every step.
Make reliability the default.
Give every team self-serve observability and evaluation, with the shared tooling, standards, and workflows to build and operate production agents across the enterprise.
Org-wide Policies
Define evaluation and monitoring standards once and apply them consistently across every agent you trace in HoneyHive.
Agent Skills
Give developers reusable agent skills to instrument applications, set up evaluations, investigate failures, and more using coding agents.
CLI and Config-as-Code
Manage evaluators, datasets, prompts, and alerts as code—version them in Git, automate workflows in CI, and make them accessible to coding agents.
Granular RBAC
Isolate teams and define custom roles across dozens of fine-grained permissions, scoped to organization, workspace, or project.
Data Exports
Export traces, evaluations, and metrics to your warehouse, lakehouse, or streaming platform in open formats.
One source of truth for everyone building agents.
HoneyHive is designed for the full cross-functional team: from the engineer instrumenting the first agent to the risk officer signing off the last deployment.
Set the foundation.
Give every team a proven way to instrument, evaluate, and operate agents across frameworks, clouds, and business units.
Debug, evaluate, ship.
Debug complete trajectories, test changes on real production cases, and catch regressions before customers do.
Turn expertise into evaluation.
Review real outputs, define rubrics, and make expert judgment reusable across every agent and release.
Produce audit-ready evidence.
See traces, evaluation results, and human reviews in one defensible record for internal and regulatory review.
See every agent, wherever it runs.
OpenTelemetry-native and fully vendor-agnostic. Trace the agents your teams build in-house, the coding agents your developers use, and the agents you build in 3rd-party platforms.
- 01
Custom Agents
MORELESS
+100Automatically instrument 100+ models and frameworks with our SDKs. Trace LLM outputs, tool calls and handoffs, score outcomes, compare releases, and monitor production behavior without changing how teams build.
- 02
Coding Agents
MORELESS
Bring coding-agent sessions into the same observability standard. Track cost, latency, tool use, and outcomes across repositories, teams, models, and vendors.
- 03
No-Code Platforms
MORELESS
Observe agents inside ServiceNow, Microsoft Copilot, Salesforce, and other enterprise systems. Centralize quality signals, approvals, and audit evidence across vendors.
Your data stays under your control
Agent traces carry rich, highly sensitive I/O that traditional observability can’t handle. HoneyHive is designed specifically for AI traces and centralizes visibility without centralizing sensitive data, keeping every deployment isolated by design.
Fully managed SaaS. Isolated by default.
HoneyHive operates both planes, with a virtual data plane isolated for each tenant.
Sensitive data never leaves your environment.
Store traces and run evals in your cloud. HoneyHive manages the rest.
Fully self-hosted. Nothing leaves your network.
Both planes run in your infrastructure, deployed and managed through Kubernetes.
The same controls, every deployment
Define custom roles across dozens of fine-grained permissions, scoped from organization down to project.
Audited to SOC 2 Type II. GDPR-compliant with EU data residency. HIPAA BAA available for healthcare.
Okta, Azure AD, Google, PingSSO. JIT provisioning, enforced MFA, and session policies managed by your IdP.
Stream audit logs to Splunk, Datadog, or any SIEM. Every access, change, and export is auditable upstream.
