HoneyHive favicon

HoneyHive
AI Observability and Evaluation Platform for Building Reliable AI Products

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.

Related Queries

Helpful for people in the following professions

Related Tools:

Blogs:

  • Best AI tools for trip planning

    Best AI tools for trip planning

    These tools analyze user preferences, budget constraints, and destination details to provide personalized itineraries, suggest optimal routes, recommend accommodations, and even offer real-time updates on weather and local events.

  • Best AI Tools For Startups

    Best AI Tools For Startups

    we've compiled a straightforward list of user-friendly AI tools designed to give startups a boost. Discover practical solutions to streamline everyday tasks, enhance productivity, and gain valuable insights without the need for a tech expert. Learn where and how these tools can be applied in your startup journey, from automating repetitive tasks to unlocking powerful data analysis. Join us as we explore the features that make these AI tools accessible and beneficial for startups in various industries. Elevate your business with technology that works for you!

Didn't find tool you were looking for?

Be as detailed as possible for better results