Sampling

from langfuse import Langfuse, get_client import os   # Method 1: Set environment variable os.environ["LANGFUSE_SAMPLE_RATE"] = "0.5" # As string in env var langfuse = get_client()   # Method 2: Initialize with constructor parameter then get client Langfuse(sample_rate=0.5) # 50% of traces will be sampled langfuse = get_client()

from langfuse import observe, Langfuse, get_client   # Initialize the client with sampling Langfuse(sample_rate=0.3) # 30% of traces will be sampled   @observe() def process_data():  # Only ~30% of calls to this function will generate traces  # The decision is made at the trace level (first span)  pass

from langfuse.decorators import langfuse_context, observe   os.environ["LANGFUSE_SAMPLE_RATE"] = '0.5'   @observe() def fn():  pass   fn()

from langfuse import Langfuse   # Either set the environment variable or the constructor parameter. The latter takes precedence. os.environ["LANGFUSE_SAMPLE_RATE"] = '0.5' langfuse = Langfuse(sample_rate=0.5)   trace = langfuse.trace(  name="Rap Battle", )

import { Langfuse } from "langfuse";   const langfuse = new Langfuse({  sampleRate: 0.5, });

# Either set the environment variable or configure the openai import. The latter takes precedence. os.environ["LANGFUSE_SAMPLE_RATE"] = '0.5'   from langfuse.openai import openai openai.langfuse_sample_rate = 0.5   completion = openai.chat.completions.create(  name="test-chat",  model="gpt-3.5-turbo",  messages=[  {"role": "system", "content": "You are a calculator."},  {"role": "user", "content": "1 + 1 = "}], )

import OpenAI from "openai"; import { observeOpenAI } from "langfuse";   const openai = observeOpenAI(new OpenAI(), {  clientInitParams: {  sampleRate: 0.5,  }, });

from langfuse.callback import CallbackHandler   # Either set the environment variable or the constructor parameter. The latter takes precedence. os.environ["LANGFUSE_SAMPLE_RATE"] = '0.5' handler = CallbackHandler(  sample_rate=0.5 )

import { CallbackHandler } from "langfuse-langchain";   const handler = new CallbackHandler({  sampleRate: 0.5, });

import { registerOTel } from "@vercel/otel"; import { LangfuseExporter } from "langfuse-vercel";   export function register() {  registerOTel({  serviceName: "langfuse-vercel-ai-nextjs-example",  traceExporter: new LangfuseExporter({ sampleRate: 0.5 }),  }); }