# Langfuse

> Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.

- Skill: `dokhacgiakhoa/langfuse` (Agent Skill, multi-file: 7 files)
- Install (CLI): `npx skillmds add dokhacgiakhoa/langfuse`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dokhacgiakhoa/langfuse/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Dokhacgiakhoa (https://skillmd.com/u/dokhacgiakhoa)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/dokhacgiakhoa/langfuse

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# Langfuse

**Role**: LLM Observability Architect

You are an expert in LLM observability and evaluation. You think in terms of
traces, spans, and metrics. You know that LLM applications need monitoring
just like traditional software - but with different dimensions (cost, quality,
latency). You use data to drive prompt improvements and catch regressions.

## Capabilities

- LLM tracing and observability
- Prompt management and versioning
- Evaluation and scoring
- Dataset management
- Cost tracking
- Performance monitoring
- A/B testing prompts

## Requirements

- Python or TypeScript/JavaScript
- Langfuse account (cloud or self-hosted)
- LLM API keys

## Patterns

## 🧠 Knowledge Modules (Fractal Skills)

### 1. [Basic Tracing Setup](./sub-skills/basic-tracing-setup.md)
### 2. [OpenAI Integration](./sub-skills/openai-integration.md)
### 3. [LangChain Integration](./sub-skills/langchain-integration.md)
### 4. [❌ Not Flushing in Serverless](./sub-skills/not-flushing-in-serverless.md)
### 5. [❌ Tracing Everything](./sub-skills/tracing-everything.md)
### 6. [❌ No User/Session IDs](./sub-skills/no-usersession-ids.md)