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OpenLIT vs OpenLLMetry
OpenLIT vs OpenLLMetry
OpenLLMetry (by Traceloop) is an instrumentation library that emits OpenTelemetry spans for LLM apps. OpenLIT is a full self-hosted platform (UI, evaluations, Prompt Hub, agents, Vault, GPU) with its own SDKs that also ingest and export OTLP.
| Feature | OpenLIT | OpenLLMetry |
|---|---|---|
| What it is | ||
| Category | Full AI engineering platform + SDK | Instrumentation library (OTLP exporter) |
| OpenTelemetry-native | ||
| Open Source | Apache 2.0 | Apache 2.0 (SDK) |
| Self-hosted product UI | ||
| Requires a separate backend | Optional (ships with platform stack) | |
| LLM Monitoring | ||
| Auto-instrument LLM calls | ||
| Token / cost attributes on spans | ||
| Built-in traces UI | ||
| Built-in dashboards | ||
| Platform features | ||
| Evaluations (LLM-as-a-judge) | ||
| Prompt Hub (versioning) | ||
| Secrets Vault | ||
| AI agent monitoring UI | ||
| GPU collector | ||
| Interoperability | ||
| Can send OTLP to OpenLIT | N/A (is the platform) | |
| Works with Grafana / any OTLP backend | ||
Choose OpenLIT when…
- You want a self-hosted UI for traces, evals, prompts, agents, and costs, not only an SDK
- You need Prompt Hub, LLM-as-a-judge, Vault, or GPU monitoring out of the box
- You prefer one Apache-2.0 platform that includes instrumentation and the backend
- You want to accept OTLP from OpenLLMetry or other OTel sources into OpenLIT
Choose OpenLLMetry when…
- You only need an instrumentation library and already have an OTLP backend
- You are standardising on Traceloop/OpenLLMetry instrumentation across services
- You do not need a prompt, eval, or agent product UI
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