honeyhive.ai

honeyhive.ai

Comprehensive AI observability and evaluation platform for large language model applications.

About honeyhive.ai

HoneyHive is an all-in-one AI observability and evaluation platform tailored for teams developing large language model applications. It offers tools for AI testing, real-time monitoring, and comprehensive observability, enabling engineers, product managers, and domain experts to collaborate seamlessly within a unified LLMOps environment. HoneyHive simplifies application testing, failure debugging, prompt management, and performance monitoring to optimize AI deployment success.

How to Use

Integrate HoneyHive into your AI workflow by connecting via OpenTelemetry or REST APIs. Use it to evaluate model outputs, debug issues with distributed tracing, monitor system performance, and collaboratively manage prompts and datasets. Start optimizing your AI applications today with streamlined testing and observability tools.

Features

  • Dataset and Prompt Management
  • Distributed Tracing and Monitoring
  • Real-Time Production Performance Monitoring
  • AI Evaluation and Scoring
  • Collaborative Workspace for Teams

Use Cases

  • Assess AI model quality with automated evaluations
  • Debug AI agents through detailed trace analysis
  • Monitor latency, cost, and accuracy metrics continuously
  • Collaborate across teams to manage prompts and datasets

Best For

Product ManagersAI EngineersMLOps EngineersData ScientistsDomain Specialists

Pros

  • Collaborative platform supporting engineers, PMs, and domain experts
  • Flexible hosting options including SaaS, dedicated cloud, or self-hosting
  • All-in-one solution for testing, debugging, monitoring, and optimizing AI systems
  • Rich feature set with evaluation, observability, and prompt management tools
  • Seamless integration with OpenTelemetry and REST APIs

Cons

  • Initial setup and integration may require effort
  • Free plan has usage restrictions
  • Advanced features available only in Enterprise tier

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Developer

Free

No credit card required for access

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Most Popular

Enterprise

Custom Pricing

Designed for large-scale deployment and team scaling

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FAQs

What is an event in HoneyHive?
An event is a trace span, structured log, or metric label sent via OTLP or JSON, capturing relevant system data and context from your application's instrumentation.
How does the evaluator work?
Automated evaluators use functions or LLMs to score outputs based on criteria like relevance or faithfulness. Users can also define custom evaluators and incorporate human judgment for more accurate assessments.
Is my data secure with HoneyHive?
Yes, all data is encrypted at rest and in transit. HoneyHive complies with SOC-2, GDPR, and HIPAA standards, and offers flexible hosting options. Contact us for detailed security information.
Can I self-host HoneyHive?
Yes, self-hosting is available on the Enterprise plan. We support deployment on AWS, Azure, and GCP using Kubernetes, with additional support for custom configurations. Reach out for more details.
Does HoneyHive proxy prompt requests?
No, prompts are stored as YAML configurations that you deploy and fetch directly within your application using APIs or GitHub workflows, without proxying through our servers.
How do I instrument my AI application?
Use our SDKs or API endpoints to log traces, either synchronously or asynchronously. We support Python and Typescript with OpenTelemetry, plus integrations with frameworks like LangChain and LlamaIndex.
Are there startup discounts available?
Yes, we offer discounts for startups with less than $5 million in funding. Contact us to learn more about eligibility and the application process.