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Tool· Observability

Langfuse

Open-source LLM engineering platform — tracing, prompts, evals, and datasets.

#observability#evals

Langfuse is an open-source LLM engineering platform for tracing, prompt management, evaluation, and dataset curation. It works with any framework (LangChain, LlamaIndex, OpenAI SDK, custom) via lightweight SDKs.

Core capabilities

  • Tracing — nested spans for every LLM/tool call, with token and cost tracking.
  • Prompts — versioned prompt library with A/B testing.
  • Evals — LLM-as-a-judge, custom Python evals, human annotation queues.
  • Datasets — curate golden sets from production traces for regression testing.

When to reach for it

  • Any agent going to production — you need traces to debug and evals to prevent regressions.
  • Self-hosted deployments in regulated industries.

Learn more

  • Site: <https://langfuse.com>
  • Docs: <https://langfuse.com/docs>
  • Repo: <https://github.com/langfuse/langfuse>

Use cases

  • tracing
  • evals
  • cost tracking