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langfuse-install-auth

tessl install github:jeremylongshore/claude-code-plugins-plus-skills --skill langfuse-install-auth

github.com/jeremylongshore/claude-code-plugins-plus-skills

Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration, configuring API keys, or initializing Langfuse tracing in your project. Trigger with phrases like "install langfuse", "setup langfuse", "langfuse auth", "configure langfuse API key", "langfuse tracing setup".

Review Score

84%

Validation Score

12/16

Implementation Score

77%

Activation Score

90%

Langfuse Install & Auth

Overview

Set up Langfuse SDK and configure authentication for LLM observability and tracing.

Prerequisites

Node.js 18+ or Python 3.9+
Package manager (npm, pnpm, or pip)
Langfuse account (cloud or self-hosted)
Public and Secret keys from Langfuse dashboard

Instructions

Step 1: Install SDK

# Node.js / TypeScript
npm install langfuse
# or
pnpm add langfuse

# Python
pip install langfuse

Step 2: Get API Keys

Go to Langfuse dashboard (https://cloud.langfuse.com or your self-hosted instance)
Navigate to Settings -> API Keys
Create new API key pair (Public Key + Secret Key)
Note your host URL (cloud: https://cloud.langfuse.com)

Step 3: Configure Authentication

# Set environment variables
export LANGFUSE_PUBLIC_KEY="pk-lf-..."
export LANGFUSE_SECRET_KEY="sk-lf-..."
export LANGFUSE_HOST="https://cloud.langfuse.com"  # or self-hosted URL

# Or create .env file
cat >> .env << 'EOF'
LANGFUSE_PUBLIC_KEY=pk-lf-your-public-key
LANGFUSE_SECRET_KEY=sk-lf-your-secret-key
LANGFUSE_HOST=https://cloud.langfuse.com
EOF

Step 4: Verify Connection

// TypeScript verification
import { Langfuse } from "langfuse";

const langfuse = new Langfuse({
  publicKey: process.env.LANGFUSE_PUBLIC_KEY,
  secretKey: process.env.LANGFUSE_SECRET_KEY,
  baseUrl: process.env.LANGFUSE_HOST,
});

// Create a test trace
const trace = langfuse.trace({
  name: "connection-test",
  metadata: { test: true },
});

// Flush to ensure data is sent
await langfuse.flushAsync();
console.log("Langfuse connection successful! Check dashboard for trace.");

# Python verification
from langfuse import Langfuse
import os

langfuse = Langfuse(
    public_key=os.environ.get("LANGFUSE_PUBLIC_KEY"),
    secret_key=os.environ.get("LANGFUSE_SECRET_KEY"),
    host=os.environ.get("LANGFUSE_HOST"),
)

# Create a test trace
trace = langfuse.trace(name="connection-test", metadata={"test": True})

# Flush to ensure data is sent
langfuse.flush()
print("Langfuse connection successful! Check dashboard for trace.")

Output

Installed SDK package in node_modules or site-packages
Environment variables or .env file with API credentials
Successful connection verification trace visible in dashboard

Error Handling

Error	Cause	Solution
Invalid API Key	Incorrect or revoked key	Verify keys in Langfuse dashboard
Connection Refused	Wrong host URL	Check LANGFUSE_HOST is correct
Network Error	Firewall blocking	Ensure outbound HTTPS to Langfuse host
Module Not Found	Installation failed	Run `npm install` or `pip install` again
401 Unauthorized	Keys don't match project	Ensure keys are from same project

Examples

TypeScript Initialization with Options

import { Langfuse } from "langfuse";

const langfuse = new Langfuse({
  publicKey: process.env.LANGFUSE_PUBLIC_KEY!,
  secretKey: process.env.LANGFUSE_SECRET_KEY!,
  baseUrl: process.env.LANGFUSE_HOST,
  // Optional configuration
  flushAt: 15,        // Flush after 15 events (default: 15)
  flushInterval: 10000, // Flush every 10 seconds (default: 10000ms)
  requestTimeout: 10000, // Request timeout (default: 10000ms)
  enabled: process.env.NODE_ENV === "production", // Disable in dev
});

// Ensure clean shutdown
process.on("beforeExit", async () => {
  await langfuse.shutdownAsync();
});

Python Initialization with Options

from langfuse import Langfuse
import os

langfuse = Langfuse(
    public_key=os.environ.get("LANGFUSE_PUBLIC_KEY"),
    secret_key=os.environ.get("LANGFUSE_SECRET_KEY"),
    host=os.environ.get("LANGFUSE_HOST"),
    # Optional configuration
    flush_at=15,           # Flush after 15 events
    flush_interval=10.0,   # Flush every 10 seconds
    enabled=os.environ.get("NODE_ENV") == "production",
)

# Register shutdown handler
import atexit
atexit.register(langfuse.flush)

OpenAI Integration (Automatic Tracing)

import { observeOpenAI } from "langfuse";
import OpenAI from "openai";

const openai = observeOpenAI(new OpenAI(), {
  clientInitParams: {
    publicKey: process.env.LANGFUSE_PUBLIC_KEY,
    secretKey: process.env.LANGFUSE_SECRET_KEY,
    baseUrl: process.env.LANGFUSE_HOST,
  },
});

// All OpenAI calls are now automatically traced
const response = await openai.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "Hello!" }],
});

Resources

Next Steps

After successful auth, proceed to langfuse-hello-world for your first trace.