What it does
An OpenTelemetry-native LLM observability solution that provides one-line integration for tracking costs, tokens, prompts, and performance metrics. Built on the OTEL standard for seamless integration with existing observability stacks.
Security relevance
If your organisation already uses OpenTelemetry for application observability, OpenLIT extends that investment to AI workloads. Security teams can monitor AI metrics alongside application metrics in the same dashboards, making it easier to correlate AI anomalies with broader system events.
When to use it
Use when you have an existing OTEL-based observability stack and want to add LLM monitoring. One-line integration is genuinely quick, but you need the OTEL infrastructure already in place. Natural fit for teams with mature observability practices.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 0 in LLM, 2 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: OpenLIT slug: openlit type: Generative category: AI Development Tools url: https://openlit.io reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [] asi: [ASI06, ASI08] complexity: Guided Setup pricing: — audience: Builder lifecycle: [monitor] tags: [Observability, Open Source, OTEL]