HoneyHive
¿Qué es HoneyHive?
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.
¿Cómo usar HoneyHive?
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.
Características Principales
- AI Evaluation
- Observability
- Prompt Management
- Dataset Management
- Distributed Tracing
- Production Monitoring
Pros & Contras
Sin Datos
Casos de Uso
- 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.
Grupos de Usuarios
Sin Datos
Precios de HoneyHive
Vista Previa de Portada
Características de HONEYHIVE
- Funcionalidad de IA Herramientas para desarrolladoresIA Herramientas para desarrolladores
- Funcionalidad de IA Modelos de lenguaje grande (LLMs)IA Modelos de lenguaje grande (LLMs)
- Funcionalidad de Agente IAAgente IA
- Funcionalidad de IA MonitorIA Monitor
- Funcionalidad de IA TestingIA Testing
- Funcionalidad de IA Gestión de registrosIA Gestión de registros