Langfuse: Overview & Evaluation

Quick facts

What to know before trying Langfuse

Langfuse is an open platform for tracing and evaluating AI applications and agents. It helps investigate a run; it does not determine answer correctness without suitable evaluation criteria.

Who this exercise is for

Developers evaluating a bounded AI application or infrastructure workflow.

A practical test for Langfuse

This is a suggested evaluation exercise, not a report of a completed test. Use it to gather your own evidence before choosing a tool.

Product information checked on 20 September 2026. Features and plan availability can change.

Sample task

Instrument a small assistant with retrieval and generation steps. Trigger one successful query, one missing-document query and one simulated provider error.

What to inspect

Check that traces connect the steps, expose the failure and record useful timing without unnecessarily storing sensitive input.

How to decide

Judge how quickly a teammate can diagnose the failed run. Configure redaction and retention before enabling traces on real user traffic.

Read the related guide

Check Langfuse's official product information for current features, limits and terms.

Evaluate it for your workflow

Try a representative task with non-sensitive sample inputs. Record errors, revision time and whether the output exports correctly. Compare the full workflow against your current method before committing to a plan. Use our evaluation worksheet to record the result.

Topics

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