Radar / AI infrastructure / OpenObserve v1.0
OpenObserve v1.0: GA with AI Observability for Agents
Open-source observability platform hits 1.0, headlined by AI Observability: agent tracing, LLM monitoring, evals, and session annotation unified with logs, metrics, traces, and RUM.
Why it matters
Trace a single request from browser to agent loop to model call to tool call to DB without stitching tools; token cost and usage tracking on by default across 80+ providers attributed per agent; built-in evals (custom scorers, LLM-as-judge, annotation queues); self-hostable open source.
What you could build with it
Self-host OpenObserve and point agent traces at it: per-agent token-cost dashboards and failure-point maps in one place.
Does it hold up?
v1.0 GA on a mature open-source base (22k+ stars, in production since 2023) with real customer evidence quoted in the release (Decklar CTO: agent-issue diagnosis cut from hours to minutes); the AI Observability features are fresh but independently covered by VentureBeat and BigDATAwire.
Built with OpenObserve v1.0
- VentureBeat: OpenObserve v1.0 brings AI Observability into one platformnews · Independent coverage of the v1.0 GA and its AI Observability headline features.
- Official v1.0 announcement (Business Wire)press release · Official release notes detail: per-agent token cost tracking, full-session tracing, Agent Graph, built-in evals; includes a Decklar CTO quote on cutting agent-issue diagnosis from hours to minutes.
- BigDATAwire: OpenObserve reaches v1.0news · Data/ML press coverage noting the Product Hunt #2 Product of the Day debut for AI Observability.
Learn more
First spotted on article: source.
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