Langfuse

오픈소스 LLM 옵저버빌리티·평가 플랫폼. 트레이스·데이터셋·스코어러·프롬프트 관리, Docker 자체 호스팅 가능.

적합한 경우

Teams wanting open-source, self-hostable, auditable LLM observability with unified tracing, prompt management, and offline evals.

덜 맞는 경우

Teams unwilling to host, or very small traffic where a vendor dashboard is enough.

비교 시 참고

Compared to LangSmith / Helicone / Phoenix: Langfuse wins on OSS and data sovereignty—you own the gap between UI polish and closed-source SaaS.

점검 체크리스트

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

검색 Q&A

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.

활용 상황

위 소개로 이 도구가 적합한지 가늠할 수 있습니다. 비슷한 도구가 많다면 사용 빈도, 예산, 데이터 프라이버시를 먼저 정리하고 고르세요.