Langfuse
Trace, evaluate, and improve LLM applications with an open-source engineering platform.
What is Langfuse?
Trace, evaluate, and improve LLM applications with an open-source engineering platform.
AI engineers testing agent quality and monitoring production behavior.
Choose representative tasks and failure cases, then compare tracing, evaluator calibration, dataset management, retention, and full usage costs. Human review helps identify where automated evaluation misses important errors.
What to explore
LLM tracing
Use a real task to check the output, limits, and plan-specific availability.
Prompt management
Use a real task to check the output, limits, and plan-specific availability.
Evaluation datasets
Use a real task to check the output, limits, and plan-specific availability.
These are starting points from the vendor overview. They are not a complete feature inventory or independently verified performance results.
Pricing and plans
Confirm with the vendor.
Check current vendor pricing. A numeric price has not been verified for this profile.
Official pricing ↗Ask what is included in your chosen plan: seats or usage, onboarding, support, add-ons, billing period, and cancellation. Include continuing administration and migration effort in your comparison.
Before you choose Langfuse
Use representative test cases and inspect evaluator failures. Check trace retention, sensitive-data handling, and usage costs.
- Test the same representative task across your shortlist.
- Check an exception, an export, and the permissions your team needs.
- Record setup effort, quality, manual corrections, and total cost.
Your experience matters.
Used Langfuse? Share the task you tested, what worked, and where you needed extra effort. Reviews are checked before publication.
Write a review of Langfuse
Sources and editorial scope
This profile links to the official Langfuse website. The vendor source was consulted on 6 October 2026.
Product descriptions reflect vendor information and editorial categorisation. This is not a hands-on review, verified feature audit, or customer rating. Reconfirm current capabilities and terms before buying.
Suggest a correctionExplore the same category.
All ai evaluationLangSmith
Observe, evaluate, and deploy AI agents across supported frameworks.
Helicone
Monitor LLM requests, costs, and latency through an AI observability platform.
Arize Phoenix
Debug and evaluate AI applications using open-source tracing and observability.
