HoneyHive

HoneyHive is a production-grade AI observability & evaluation platform that lets teams build, test, deploy and continuously improve AI agents and LLM apps. Get full-stack traces, automated evals and built-in collaboration tools to boost system reliability and team velocity.

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AI observability platformLLMOps dev toolAI agent evaluationLLM performance monitoringprompt version controlAI full-stack tracingenterprise AI governanceAI CI/CD testing

Features of HoneyHive

End-to-end traces for LLM pipelines, tool calls and multi-step workflows

Automated evals via code, AI judges or human review to test agent quality

Prompt hub with version control and 100+ model + GPU cloud integrations

Interactive DAG view that turns complex agent flows into debuggable graphs

Live dashboards and alerts for latency, token use and cost in production

Review queue that routes high-risk AI events to humans with smart rules

User-feedback tracking and custom analytics sliced by any team dimension

Native CI/CD hooks for continuous evals and regression tests on every PR

Use Cases of HoneyHive

Dev teams trace every LLM call and tool interaction to pinpoint failures fast

MLEs run automated performance tests and catch regressions before release

Prompt engineers version prompts and A/B test outputs across models

Ops monitors live latency, cost and token burn to stay within SLOs

QA triages user complaints and audits AI responses to prevent quality drift

Compliance teams export audit logs that map to SOC 2 and GDPR requirements

FAQ about HoneyHive

QWhat kind of platform is HoneyHive?

HoneyHive is a production-first observability and evaluation platform built for AI agents and LLM applications.

QWhich AI components can HoneyHive trace?

LLM pipelines, agent workflows, tool calls and multimodal systems—everything is captured in one trace.

QHow can I evaluate my AI app with HoneyHive?

Code-based metrics, AI-as-a-judge or human review—run them in CI or on live traffic.

QHow does HoneyHive manage prompt versions?

A collaborative prompt hub with Git-style versioning and one-click sync to 100+ models.

QWhich compliance standards does HoneyHive meet?

SOC 2 Type II, GDPR and HIPAA—enterprise-ready security and audit trails out of the box.

QHow does HoneyHive fit into CI/CD?

Drop our SDK into any pipeline; every commit triggers automated evals and regression guards.

QWho uses HoneyHive day-to-day?

AI devs, prompt engineers, MLOps and QA teams who need to ship reliable AI products faster.

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