Langfuse

An open-source LLM engineering platform offering observability, metrics, evaluations, and prompt management to debug and enhance large language model applica...

4.2 (6)

Recensito da Daniel Nikulshyn·Aggiornato maggio 2026

Observability Analytics Open Source Evaluation Prompt Management LLM Ops Developer Tools

Panoramica

Langfuse — An open-source LLM engineering platform offering observability, metrics, evaluations, and prompt management to debug and enhance large language model applica...

Casi d’uso

Debug LLM Applications

Use observability features to trace and inspect LLM calls, helping developers identify and resolve issues in production AI applications.

Monitor Model Performance Metrics

Track key metrics across large language model applications to measure quality, latency, and cost over time.

Run LLM Evaluations

Evaluate model outputs systematically to compare prompts, models, or versions and ensure consistent application quality.

Manage and Iterate on Prompts

Centralize prompt management to version, test, and refine prompts used across LLM-powered features.

Recensioni

4.2

Media su 6 valutazioni.

Accedi per lasciare una recensione.

Olga Ivanova

Use it every day

Honestly didn't expect to like it this much. The API is exactly what I needed, and it is genuinely easy to set up. I do wish the docs could be deeper, but I reach for it almost every day now and it just clicks.

Kwame Mensah

Compared a few options

Evaluated this against two competitors. Where it wins: the integrations and the value for money is strong. Where it lags: the docs could be deeper. On balance the feature set — especially the automation — justifies the 4 stars for our use case.

Camille Laurent

Use it every day

Honestly didn't expect to like it this much. The API is exactly what I needed, and it is genuinely easy to set up. I do wish a few rough edges remain, but I reach for it almost every day now and it just clicks.

Ahmed Saleh

Does the job

Pretty happy overall. The integrations just works and the value for money is strong. The docs could be deeper can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Omar Haddad

Solid for our team

We rolled this out across the team last quarter and it is genuinely easy to set up. The onboarding fits neatly into how we already work, and the core workflow removed a step we used to do by hand. Pricing gets steep at scale, which is the main caveat, but it has held up under daily use.

Devin Walker

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the core workflow, and it saves real time caught me off guard. The docs could be deeper is why this isn't a perfect score, still, I'd recommend giving it a real trial.