HoneyHive - AI Observability and Evaluation Platform for Building Reliable AI Products

HoneyHive AI Observability and Evaluation Platform for Building Reliable AI Products

Freemium

Home: https://honeyhive.ai

Developer Tools

#observability
#evaluation
#Prompt management
#monitoring
#debugging
#performance tracking

Visit HoneyHive

What is HoneyHive?

HoneyHive is an advanced platform designed to help organizations monitor, evaluate, and optimize their AI applications. The platform combines robust observability features with comprehensive evaluation tools, enabling teams to track performance, debug issues, and ensure quality across AI deployments.

The platform offers distributed tracing, performance monitoring, custom charts, and dataset curation capabilities. It includes a Prompt Studio for version control and deployment of prompts, along with extensive evaluation features for both automated and human assessment of AI outputs.

Features

Distributed Tracing: Monitor and analyze AI application performance
Prompt Studio: Version control and deployment of prompts
Evaluation Suite: Both automated and human evaluation capabilities
Dataset Curation: Filter and export production data for fine-tuning
Custom Charts: Create personalized monitoring dashboards
Performance Monitoring: Track and optimize AI system performance

Use Cases

Monitoring RAG pipelines
AI agent quality assurance
Prompt version management
Production system debugging
Model performance evaluation
Dataset curation for fine-tuning

FAQs

What is an event in HoneyHive?

An event refers to a single trace span, structured log, or metric label combination sent to the API as OTLP or JSON, capturing relevant data and context fields from application instrumentation.
Does HoneyHive help with model fine-tuning?

HoneyHive allows users to filter and curate datasets from production logs, which can be annotated by domain experts and exported programmatically for fine-tuning models using third-party providers.
What is the maximum event size supported?

HoneyHive supports logging up to 5MB per span, which translates to approximately 1.7M tokens per span, designed to support current-generation long-context models.
Does HoneyHive proxy requests?

By default, HoneyHive does not proxy requests via their servers. Instead, prompts are stored as YAML configurations that can be deployed and fetched using the GET Configuration API.