LangWatch vs Langfuse
Compare LangWatch and Langfuse for agent testing, traces and prompt workflows, with Lunary as an option for reviewing customer conversations.
$20 per user / month. Payment required to activate your workspace.
LangWatch emphasizes simulated agent testing; Langfuse connects observability with prompt management. Try Lunary when customer conversation review drives your improvements.
Lunary
Our pick for replaying conversations and reviewing prompt changes.
LangWatch
Consider for multi-turn scenario tests and evaluations.
Langfuse
Consider for tracing and centrally managed prompts.
At a glance
| Workflow | Lunary | LangWatch | Langfuse |
|---|---|---|---|
| Production review | Replay chats with linked runs | Traces with user events and evaluations | Application traces with quality scores |
| Testing focus | Model and prompt evaluations | Scenario tests and dataset experiments | Evaluations with tracing and datasets |
| Prompt iteration | Templates, shared drafts and playground | Versioned prompts and deployment tags | Central prompts, versions and labels |
| Pilot question | Can reviewers explain this customer failure? | Does the agent pass this simulated situation? | Can we inspect this prompt version in production? |
See your workflow in Lunary.
Explore conversations, traces and prompt versions with our team.
Decide which question your tests answer
LangWatch simulates user conversations and judges behavior across turns. Langfuse supports evaluations alongside application traces and prompts. Use the same failure cases, but distinguish a scenario test from a dataset evaluation when judging coverage.
Bring the conversation into the decision
Lunary records messages, user feedback and custom events with links to agent runs. For an assistant team, that context helps explain why a user gave up or rejected an answer before deciding which prompt to change.
Compare the review and release process
LangWatch and Langfuse both version prompts and connect them to execution traces. Lunary offers templates, draft collaboration and a playground for models or custom endpoints. Let the teammates who review quality try the complete edit-and-test workflow.
Questions & answers
Does LangWatch provide observability too?
Yes. Its platform covers traces, user events, evaluations and prompt management alongside agent testing.
Does Langfuse support prompt deployment?
Yes. It documents SDK retrieval, versioning and labels for managing prompt deployments.
Why include Lunary in the comparison?
Lunary is worth trying when the core workflow is replaying customer conversations, interpreting feedback and reviewing a prompt change with your team.
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.
$20 per user / month. Payment required to activate your workspace.