AI Observability by OpenObserve
OpenTelemetry-native observability for agents and LLMs
Listing details
HiCyou directory record
- Listed website
- openobserve.ai
- Directory record created
- Sep 11, 2026
- Last record update
- Sep 11, 2026
Listing information
- Overview
- 6 key features
- 4 use cases
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What is 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.
Key Features
Use Cases
- 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
Why do startups need this tool?
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.
