AI Observability by OpenObserve
OpenTelemetry-native observability for agents and LLMs
Detalles del listado
Registro de directorio de HiCyou
- Sitio web listado
- openobserve.ai
- Registro del directorio creado
- 11 sept 2026
- Última actualización del registro
- 17 sept 2026
Información incluida en el listado
- Resumen
- 6 funciones clave
- 4 casos de uso
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¿Qué es AI Observability by OpenObserve?
AI Observability by OpenObserve is an OpenTelemetry-native observability tool for AI agents and LLM applications. It traces every agent session across models, tools, services, datastores, and user sessions, showing where time, cost, and quality are lost. Teams can detect loops, run online evaluations on live traffic, attribute cost per token, and follow failures from the LLM call through backend and database alongside logs, traces, and metrics from the rest of the production stack.
Características principales
Casos de uso
- Diagnosing why an AI agent is slow or expensive
- Debugging agent failures across the full stack, from LLM call to database
- Monitoring quality of LLM outputs on production traffic
- Tracking and attributing AI cost across models and tools
¿Por qué las startups necesitan esta herramienta?
Startups building AI agents and LLM features need visibility into cost, latency, and output quality without stitching together multiple monitoring tools. AI Observability by OpenObserve combines agent tracing, online evals, and cost attribution with full-stack observability in one OpenTelemetry-native platform, helping small teams debug faster and control AI spend.
