OpenLLMetry review

A vendor-agnostic, open-source standard for adding LLM signals to OpenTelemetry traces.

Verdict

Our wildcard pick, OpenLLMetry, isn't a platform but an open-source standard for adding LLM-specific signals to OpenTelemetry traces, making it a powerful, vendor-agnostic choice for teams wanting to own their observability stack.

What customers praise

It provides a future-proof, flexible foundation that avoids vendor lock-in, allowing teams to send LLM traces to any OpenTelemetry-compatible backend like Jaeger, Datadog, or Honeycomb.

What customers criticise

It requires significant engineering effort to set up and maintain a full backend and visualization layer; it's a set of tools, not a complete, out-of-the-box solution.

Best for

Teams committed to an OpenTelemetry-native observability strategy who want to extend their existing tracing infrastructure to include LLM signals without vendor lock-in.

At a glance

• Integrations: OpenTelemetry, LangChain, LlamaIndex, OpenAI, Hugging Face, Jaeger, Prometheus, Grafana
• Regions served: Self-hosted
• Typical onboarding: 14 days
• Free tier: yes

Red flags

Public risk signals as of May 2026: low. Project is maintained by a startup (Traceloop), and its long-term development depends on community adoption and corporate sponsorship. See the full red-flag report.

Alternatives

See alternatives to OpenLLMetry, or compare against the next-ranked entry: .

Source: Top 11 11 Best LLM Monitoring & AI Observability Platforms 2026 — LangSmith Alternatives Ranked, verified May 31, 2026 — no paid placement.