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Lunary vs Traceloop

Compare Lunary and Traceloop for OpenTelemetry tracing, conversation review, feedback and prompt workflows, including Traceloop’s ServiceNow transition.

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Lunary conversation replay
Conversation replay in Lunary

Lunary is our recommendation when the application team needs customer conversations and agent traces in the same quality-review process.

Lunary fit

Review messages, feedback and the execution behind them.

Traceloop fit

OpenLLMetry tracing, quality monitors and staged prompts.

Keep instrumentation portable

Verify trace mappings before changing destinations.

At a glance

Lunary vs Traceloop: at a glance
WorkflowLunaryTraceloop
Conversation contextMessages, events and linked agent runsSessions grouping multi-turn traces
Feedback integrationMessage or run IDs with feedback dataAnnotation tasks, entities and tags
Prompt iterationTemplates, shared drafts and playgroundPrompt registry and staged deployments
Quality assessmentModel and prompt evaluationsDataset experiments and span monitors

See your workflow in Lunary.

Explore conversations, traces and prompt versions with our team.

See Lunary in action

Make a trace understandable to the team

Lunary reconciles messages with agent and LLM runs, and captures custom events and feedback. Traceloop also supports conversation sessions. Compare both with the same multi-turn issue and the people who actually review customer complaints.

Compare the integration your app needs

Lunary records feedback against a message or run. Traceloop documents annotation tasks with entities and tags, submitted through Python or TypeScript. Test the path from an in-app reaction to a reviewer finding the affected interaction.

Review the next version before rollout

Lunary provides shared drafts and a playground for model or custom-endpoint testing. Traceloop’s registry supports draft prompts and staged environment deployment. Pick the review and release process your team can apply consistently.

Questions & answers

What changed with ServiceNow?

Traceloop announced in March 2026 that it is joining ServiceNow. It stated an intention to continue selling its functionality and keep OpenLLMetry open source.

Does Lunary accept existing OTel traces?

Yes. Validate attribute mappings, trace relationships and conversation metadata with a representative sample before switching.

What makes Lunary worth a pilot?

The combination of conversation replay, message feedback and shared prompt drafts gives an assistant team a concrete workflow to assess.

By Lunary · Documentation reviewed Sep 20, 2026

Sources & methodology (12)

Based on vendor documentation, not an independent benchmark or hands-on rating. Features and plans can change.

Bring your next AI issue to Lunary.

Follow the conversation. Find the cause. Test the fix.

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