AI Observability by OpenObserve
OpenTelemetry-native observability for agents and LLMs
掲載情報
HiCyou の掲載記録
- 掲載先サイト
- openobserve.ai
- 掲載記録の作成日
- 2026/09/11
- 記録の最終更新
- 2026/09/17
掲載されている情報
- 概要
- 主な機能 6 件
- ユースケース 4 件
このページは HiCyou の掲載記録を示すものであり、セキュリティ、所有権、または製品品質を認証するものではありません。
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AI Observability by OpenObserveとは
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.
主な機能
ユースケース
- 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
スタートアップにこのツールが必要な理由
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.
