AI TOOL PROFILE
HoneyHive: AI Observability and Evaluation Platform
- Software Development
- Observability Platform
- Enterprise software teams
- Fortune 500 companies
- AI agent developers
- Organizations with strict compliance requirements
Pricing
HoneyHive offers a free Developer tier limited to 10,000 events per month and 5 users. Enterprise plans provide custom usage limits, unlimited users, and dedicated support.
At a glance
- Best for
- Enterprise software teams, Fortune 500 companies, AI agent developers, Organizations with strict compliance requirements
- Key use cases
- Production Agent Monitoring, Performance Evaluation, Regression Testing, Human-in-the-loop Quality Control
- Integrations
- OpenTelemetry, LangChain, LangGraph, OpenAI Agents SDK, CrewAI
- Official website
- Visit HoneyHive official website
How AI is used
HoneyHive is an observability and evaluation platform designed for teams deploying AI agents. It provides distributed tracing and monitoring to help developers identify if agents are failing in production due to prompts, models, or data retrieval pipelines.
The platform supports workflows including live-traffic evaluations, experiment tracking for regression testing, and human-in-the-loop review via annotation queues.
Buyers should consider their hosting requirements, as the platform offers various deployment options from multi-tenant SaaS to full self-hosting. Organizations with strict security needs can use its compliance certifications and RBAC controls.
Since the platform is OpenTelemetry-native, buyers should confirm that their engineering team is comfortable with its SDKs in Python or TypeScript.
Key Features
Distributed Tracing
Captures AI workflows, including agent runs, tool calls, and LLM interactions using OpenTelemetry-native integration.
Online Evaluations
Runs automated evaluations on live production traffic to help detect agent failures and quality issues.
Monitoring and Alerts
Supports setting up targeted alerts on schema properties to track cost, latency, and guardrail violations.
Experiment Tracking
Supports testing agents offline against datasets and comparing versions to identify regressions.
Annotation Queues
Provides an interface for domain experts to manually review and grade AI outputs based on custom rubrics.
Prompt Studio
A shared workspace for managing, versioning, and editing prompt templates and model variants.
Use Cases
Production Agent Monitoring
Observing AI agents in live environments to detect anomalies and failures.
Performance Evaluation
Using online live-traffic tests and automated evaluators to measure agent faithfulness and context relevance.
Regression Testing
Integrating evaluation runs into CI/CD workflows to identify performance drops before new releases.
Human-in-the-loop Quality Control
Routing flagged traces to subject matter experts for manual review to align AI outputs with business standards.
Integrations
- OpenTelemetry
- LangChain
- LangGraph
- OpenAI Agents SDK
- CrewAI
- Google ADK
- AWS Strands
- GitHub Actions
FAQ
What does HoneyHive do?
- HoneyHive provides tools to observe, evaluate, and improve AI agents in production using distributed tracing, monitoring alerts, and automated evaluations.
Is HoneyHive suitable for highly regulated industries?
- The platform is SOC 2 Type II, GDPR, and HIPAA compliant, and offers self-hosting and single-tenant SaaS options to meet security needs.
What is the difference between the Developer and Enterprise plans?
- The Developer plan is free with a 10,000 event monthly limit and 5 users, while the Enterprise plan offers custom usage limits, unlimited users, and advanced security features like custom SAML/SSO.
Source category: Software Development
Source subcategory: Observability Platform
More tools in Software Development
Other published listings in the Software Development category.
More tools in the Observability Platform software type
Related listings that share the same software type for comparison and shortlisting.
