Langfuse Llm Observability Platform And Sdk

Name: Langfuse Llm Observability Platform And Sdk
Author: agentskillexchange

ASecurity

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.

36 stars
0 votes
0 copies
1 view
Added June 8, 2026

ai-agentspythongodockerkubernetesgitapisecurity

Works with

Security analysis

A92/100

mediumInstalls packages at runtime which could introduce malicious dependencies

Pro shows the line behind each finding and how to fix it

Scanned June 8, 2026

npx -y skills add agentskillexchange/skills --skill langfuse-llm-observability-platform-and-sdk --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Langfuse Llm Observability Platform And Sdk?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Langfuse Llm Observability Platform And Sdk

[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/agentskillexchange-langfuse-llm-observability-platform-and-sdk/badge)](https://www.skillsdirectory.com/skills/agentskillexchange-langfuse-llm-observability-platform-and-sdk)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro

SKILL.md

---
name: "Langfuse LLM Observability Platform and SDK"
slug: "langfuse-llm-observability-platform-and-sdk"
description: "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."
github_stars: 24091
verification: "security_reviewed"
source: "https://github.com/langfuse/langfuse"
category: "Monitoring & Alerts"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "langfuse/langfuse"
  github_stars: 24091
---

# 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/)