AI tool

Langfuse

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Trace, evaluate and version prompts for an instrumented AI application.

Overview

What you provide

  • Application traces, prompt versions and evaluation datasets

What you get

  • Trace views, evaluation scores and versioned prompts

Setup & workflow

  1. Use the documented local Docker Compose stack or connect an application through its SDK.
  2. Prepare the input: Application traces, prompt versions and evaluation datasets.
  3. Run a small, reversible example and inspect the output: Trace views, evaluation scores and versioned prompts.
  4. Redact private data and check evaluation criteria and trace retention settings.
Requirements & installation
  • Configure the documented runtime and authorized service access before attempting this workflow.

Limits & review

  • Enterprise folders have separate terms; model-as-judge evaluations can add inference cost.
  • Evidence review only: the product was not installed or tested in this crawl.

Your part

  • Redact private data and check evaluation criteria and trace retention settings.
When to consider another product

Unreviewed production decisions, unrestricted account access or guaranteed factual results.

Plans & billing details

Cost planning

  • Review scope is licensing and documented free-use boundaries, not numeric prices or current hosted-plan allowances.

Published prices are a snapshot. Confirm billing cycle, taxes and current allowances with the provider.

Sources & verification3

This profile is based on official sources, not a hands-on product test.

Vendor descriptions and demos document advertised features. Editorial guidance is based on these sources.

Discovered via OpenFree.Tools.

  • Langfuse — official READMEraw.githubusercontent.com

    The maintainer README supports this scope: Trace, evaluate and version prompts for an instrumented AI application.

  • Langfuse — product entry pointlangfuse.com

    The public product entry point was retrieved. Functional scope and setup in this record are grounded in the linked maintainer README.

  • Langfuse — license termsraw.githubusercontent.com

    The retrieved license materials support this boundary: MIT core; separate enterprise terms. Review the complete terms for your use case.

Frequently asked questions

What does Langfuse do?

Trace, evaluate and version prompts for an instrumented AI application.

How much does Langfuse cost?

Software or published weights are available under MIT core; separate enterprise terms. Model inference, external services and your own compute are separate; hosted plan prices were not reviewed.

What should I check before using Langfuse?

Enterprise folders have separate terms; model-as-judge evaluations can add inference cost.