Langfuse
Plataforma open‑source de observabilidad y evals para LLM—traces, datasets, scorers y gestión de prompts; self‑host con Docker.
Ideal para
Teams wanting open-source, self-hostable, auditable LLM observability with unified tracing, prompt management, and offline evals.
Menos adecuado si
Teams unwilling to host, or very small traffic where a vendor dashboard is enough.
Al comparar
Compared to LangSmith / Helicone / Phoenix: Langfuse wins on OSS and data sovereignty—you own the gap between UI polish and closed-source SaaS.
Lista rápida
- Plan self-hosting resources and upgrade cadence
- Tie prompt versions + traces + evals into one pipeline
- Bridge sampled live traces with offline golden sets
- Set SSO / RBAC / PII policies up-front
Preguntas frecuentes (búsqueda)
Is Langfuse self-hosting complex?
Docker Compose and Helm charts bring you up in ~1 hour. The real work is ongoing: Postgres/ClickHouse backups, cost-table upkeep, multi-tenant RBAC. Run a disaster-recovery drill before production.
Casos de uso
El resumen ayuda a decidir si la herramienta encaja. Si hay muchas parecidas, define frecuencia, presupuesto y privacidad antes de elegir.