# Langfuse LLM Observability Platform and SDK

> Use Langfuse to capture prompts, traces, generations, evaluations, and cost telemetry for LLM applications and agent workflows. This skill turns Langfuse from a generic observability brand into a concrete implementation pattern for tracing and analyzing model behavior.

- Skill: `agentskillexchange/langfuse-llm-observability-platform-and-sdk` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/langfuse-llm-observability-platform-and-sdk`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/langfuse-llm-observability-platform-and-sdk/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/langfuse-llm-observability-platform-and-sdk

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# Langfuse LLM Observability Platform and SDK

Use Langfuse to capture prompts, traces, generations, evaluations, and cost telemetry for LLM applications and agent workflows. This skill turns Langfuse from a generic observability brand into a concrete implementation pattern for tracing and analyzing model behavior.

## Installation

Use the upstream install or setup path that matches your environment:
- git clone https://github.com/langfuse/langfuse.git
- docker compose up
- pip install langfuse openai

Requirements and caveats from upstream:
- <a href="https://hub.docker.com/u/langfuse" target="_blank">
- <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langfuse/langfuse?labelColor=%20%23FDB062&logo=Docker&labelColor=%20%23528bff"></a>
- <a href="https://pypi.python.org/pypi/langfuse"><img src="https://img.shields.io/pypi/dm/langfuse?logo=python&logoColor=white&label=pypi%20langfuse&color=blue" alt="langfuse Python package on PyPi"></a>

Basic usage or getting-started notes:
- [Comprehensive API](https://langfuse.com/docs/api): Langfuse is frequently used to power bespoke LLMOps workflows while using the building blocks provided by Langfuse via the API. OpenAPI spec, Postman collection, and...
- Run Langfuse on your own infrastructure:
- [Kubernetes (Helm)](https://langfuse.com/self-hosting/kubernetes-helm): Run Langfuse on a Kubernetes cluster using Helm. This is the preferred production deployment.

- Source: https://github.com/langfuse/langfuse
- Extracted from upstream docs: https://raw.githubusercontent.com/langfuse/langfuse/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/langfuse-llm-observability-platform-and-sdk/)