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 for your needs. All plans include 24/7 support and regular updates.

Developer

Free

No credit card required for access

Most Popular

Enterprise

Custom Pricing

Designed for large-scale deployment and team scaling

Frequently Asked Questions

Find answers to common questions about honeyhive.ai

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.