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Lunary vs LangWatch

Compare Lunary and LangWatch for conversation review, agent testing, feedback and prompt workflows. Choose around the work your team repeats.

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Lunary conversation replay
Conversation replay in Lunary

Lunary is our recommendation for teams reviewing production conversations together. LangWatch is worth testing when simulated user scenarios drive release decisions.

Lunary fit

Understand a customer reply and review the next prompt change.

LangWatch fit

Run simulated conversations against behavioral criteria.

Shared capabilities

Both document tracing, feedback and managed prompts.

At a glance

Lunary vs LangWatch: at a glance
WorkflowLunaryLangWatch
Investigate productionChat replay linked to runs and eventsTraces, user events and quality signals
Gather feedbackMessage or run ratings and commentsThumbs and custom user events
Validate a revisionModel and prompt evaluationsDataset experiments and simulated agent tests
Manage promptsTemplates, shared drafts and playgroundVersioned library, deployment tags and playground

See your workflow in Lunary.

Explore conversations, traces and prompt versions with our team.

See Lunary in action

Start from what happened to the user

Lunary replays chats and connects their messages to model and agent runs. Capture custom events and feedback to understand why a technically successful interaction still failed to help the customer.

Test the behavior you have not seen yet

LangWatch’s agent tests use a simulated user and a judge across multiple turns. Its platform also supports dataset experiments, online evaluation and prompt management. If scenario testing is mandatory, validate it directly instead of treating tracing as a substitute.

Try the prompt-review handoff

In Lunary, share a draft prompt and compare model or custom-endpoint responses in the playground. Have the same reviewers test LangWatch’s prompt workflow. Choose the process your team can carry from diagnosis to a reviewed change.

Questions & answers

Does LangWatch only do testing?

No. It also offers observability, prompt management, user events and other LLM operations features.

Can I self-host Lunary?

Lunary documents an Enterprise Docker Compose deployment. Check licensing and operational requirements for your environment.

What should a pilot compare?

Use one real conversation and one prompt revision. Assess review clarity, feedback capture and output quality; keep scenario coverage as a separate requirement.

By Lunary · Documentation reviewed Sep 20, 2026

Sources & methodology (11)

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

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

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