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honeyhive.ai

Freemium

The Observability Layer for Production Agents

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Type
Saas
Company
HoneyHive

About honeyhive.ai

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.

How to Use

Use HoneyHive to test, debug, monitor, and optimize AI agents. Start by integrating the platform with your AI application using OpenTelemetry or REST APIs. Then, use the platform's features to evaluate AI quality, debug issues with distributed tracing, monitor performance metrics, and manage prompts and datasets collaboratively.

Key Features

  • AI Evaluation
  • Observability
  • Prompt Management
  • Dataset Management
  • Distributed Tracing
  • Production Monitoring

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.

FAQ

Do you offer startup discounts? HoneyHive Discord Here is the HoneyHive Discord: https://discord.gg/vqctGpqA97. For more Discord message, please click here(/discord/vqctgpqa97). HoneyHive

Key Features

AI Evaluation
Observability
Prompt Management
Dataset Management
Distributed Tracing
Production Monitoring

Pros & Cons

Pros
  • OpenTelemetry-native and framework-agnostic instrumentation
  • Supports 100+ LLMs and agent frameworks
  • SOC-2 Type II, GDPR, and HIPAA compliant
  • Flexible hosting options: SaaS, hybrid, self-hosted
  • Free tier includes full observability and evaluation suite
  • Designed specifically for AI agent traces with private data handling
  • Collaborative annotation queues for domain expert feedback

Best For

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.

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