About HoneyHive
HoneyHive — HoneyHive is an AI observability and evaluation platform designed for teams building LLM applications. It provides tools for AI evaluation, testing, and observability, enabling engineers, PMs, and domain experts to collaborate within a unified LLMOps platform. HoneyHive helps teams test and evaluate their applications, monitor and debug LLM failures in production, and manage prompts within a collaborative workspace.
Top use cases
- Systematically measure AI quality with evals.
- Debug and improve agents with traces.
- Monitor cost, latency, and quality at every step.
- Collaborate with your team in UI or code for artifact management.
Built for
Key features
- AI Evaluation
- Observability
- Prompt Management
- Dataset Management
- Distributed Tracing
- Production Monitoring
Pros & cons
Pros
- Unified platform for testing, debugging, monitoring, and optimizing AI agents.
- Collaborative workspace for engineers, PMs, and domain experts.
- Comprehensive feature set including evaluation, observability, and prompt management.
- Flexible hosting options (multi-tenant SaaS, dedicated cloud, or self-hosting).
- Integrates with OpenTelemetry and REST APIs.
Cons
- May require some initial setup and integration effort.
- Free tier has usage limits.
- Some advanced features are only available in the Enterprise plan.
Pricing
Developer
$0
No credit card required
Enterprise
Ideal for scaling teams
Company information
- HoneyHive Company HoneyHive Company name
- HoneyHive Inc. .
- HoneyHive Login HoneyHive Login Link
- https://app.honeyhive.ai
- HoneyHive Sign up HoneyHive Sign up Link
- https://airtable.com/apptlRlEd4OLj7pqk/shrbVIKV0e13bP5mz
- HoneyHive Pricing HoneyHive Pricing Link
- https://www.honeyhive.ai/pricing
- HoneyHive Twitter HoneyHive Twitter Link
- https://twitter.com/honeyhiveai
Frequently asked questions
What is an event?
An event refers to a single trace span, structured log, or metric label combination sent to our API as OTLP or JSON. It captures any relevant data from your system, including all context fields generated by your application's instrumentation.
What is an evaluator?
Automated Evaluators: An automated evaluator is a function (code or LLM) that helps you unit test any arbitrary event or combinations of events to generate a measurable score (and explanation, in case of LLM evaluators). Common examples of auto-evaluators include Context Relevance, Answer Faithfulness, ROUGE, BERTScore, and more. We provide many common evaluators out-of-the-box and allow defining custom evaluators within the platform. Human Evaluators: We strongly encourage a hybrid-evaluation approach, i.e. combining automated techniques with human oversight. This helps you account for evaluation criteria bias and better align your evaluators with your domain experts' scoring rubric. To enable this, you can define custom scoring rubrics in HoneyHive for domain experts to use when evaluating outputs.
Is my data secure?
All data is secure and encrypted at rest and in transit. We are SOC-2 Type II, GDPR, and HIPAA compliant, conduct regular penetration tests via 3rd-party auditors, and provide flexible hosting solutions to meet your security and compliance needs. Contact us to learn more.
Can I self-host HoneyHIve?
Yes, you can self-host HoneyHive in your Virtual Private Cloud (VPC) on the Enterprise plan. We support self-hosting across AWS, Azure, and GCP via Kubernetes, and are happy to provide additional support for highly custom deployments. Contact us to learn more.
Do you proxy my requests for managing prompts?
No, we do not proxy your requests via our servers. Instead, we store prompts as YAML configurations, which can be deployed and fetched in your application logic using the GET Configuration API or by setting up a custom GitHub Workflow.
How do I instrument my application?
You can log traces using our SDKs and API endpoints, or async via our batch ingestion endpoint. We offer native SDKs in Python and Typescript with OpenTelemetry support, and provide automatic integrations with popular frameworks like LangChain, LlamaIndex, CrewAI, Vercel AI SDK, and others. For users using other languages, you can send your OpenTelemetry traces to our OTel collector or manually instrument your application using our APIs.
Do you offer startup discounts?
Yes, we do offer startup discounts for companies with less than $5M of total funding raised. Contact us to learn more.
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