Strengths & Limitations

Balanced assessment

Strengths

  • Zero-code instrumentation for existing applications via CLI or Kubernetes Operator.
  • Vendor-neutral SDKs compatible with backends like Grafana Tempo.
  • Supports broad integrations including over 10 LLM providers, frameworks, and vector databases out-of-the-box.
  • Provides real-time token cost tracking and latency metrics.
  • Open-source with community support on Slack and GitHub.

Limitations

  • Requires separate deployment of OpenLIT backend and OTLP endpoint setup.
  • Limited language support focused on Python and TypeScript/JavaScript.
  • Dashboard access uses default credentials, requiring secure configuration for production environments.