OpenObserve AI Observability
OpenObserve's v1.0 release brings agent tracing, LLM monitoring, evaluation, and session annotation into its existing logs/metrics/traces platform.
Overview
OpenObserve reached general availability of v1.0 on September 22, 2026 for both self-hosted deployments and OpenObserve Cloud, headlined by AI Observability -- agent tracing, LLM monitoring, evaluation, and session annotation -- added to the same platform that already handles logs, metrics, traces, and real user monitoring (RUM). The AI Observability feature set debuted on Product Hunt on September 10, 2026, where it ranked #2 Product of the Day.
This is a sourced directory entry. Features and capabilities are reported in the linked sources; this entry does not document independent Aymorphic testing.
Key features
- Agent tracing and LLM monitoring in the same platform as logs, metrics, traces, and RUM
- Built-in evaluation and session annotation for AI agent/LLM interactions
- Available self-hosted or via OpenObserve Cloud
Use cases
- Monitoring production LLM and agent sessions alongside existing infrastructure telemetry
- Annotating and evaluating agent sessions for quality regression tracking
- Consolidating observability tooling instead of running a separate AI-specific stack
Pricing
free self-hosted open-source tier; paid OpenObserve Cloud plans (exact pricing not disclosed in launch coverage)
Pricing reflects the source record and may change. Confirm current terms with the provider.
Dates and sources
- Released
- 22 Sept 2026
- Record updated
- 1 Oct 2026
- Record last checked
- 1 Oct 2026