Reviewing Langfuse for production agents: an investigation checklist

A useful Langfuse review should show whether your team can investigate its own agent failures. A feature checklist alone cannot establish that, and this article does not claim we ran a controlled Langfuse benchmark.

Langfuse documents live-trace evaluation, datasets, experiments, annotation and evaluator calibration. The documentation was checked November 1, 2026. Sentrial publishes this guide, so apply the same tests to our product.

Start with the record, not the score

Use a synthetic document assistant asked to summarize an updated policy. Its final answer cites revision A, while the retrieval tool returned revision B. The first review task is to recover exactly which content the model saw. A link to the document’s current version is insufficient because that version may change after the run.

Check the captured tool arguments, returned excerpt, document revision and final citation. Introduce a deliberately truncated tool result. The investigator should be able to distinguish missing capture from an agent using the wrong source.

Exercise the review loop

Configure a check for unsupported citations, then include a correct citation, a wrong revision and an answer that explicitly says the available source is incomplete. Have a reviewer inspect the evidence without seeing your expected labels first.

Record how corrections are stored, whether the original score remains recoverable, and how a case reaches a dataset or experiment. Re-run it after changing the prompt. Keep evaluator changes separate from agent changes so an improved score cannot conceal a more permissive judge.

Inspect operational coverage

• Which traces qualify for evaluation, and which are excluded?
• How do you identify failed, delayed or skipped evaluations?
• What happens when a tool result arrives after the first evaluation?
• Can reviewers access only the projects and evidence they need?

The answers depend on your actual integration, configuration and deployment. Record observed behavior alongside the tested versions rather than turning a documentation omission into a product limitation.

Finally, compare the workflow with the same action-based Sentrial trial. Choose from demonstrated investigation quality and operating effort, not an unsupported claim that one platform catches every failure.