Sampling

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",
)

# 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 = "}],
)

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

from llama_index.core import Settings
from llama_index.core.callbacks import CallbackManager
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_callback_handler = LlamaIndexCallbackHandler(sample_rate=0.5)
 
Settings.callback_manager = CallbackManager([langfuse_callback_handler])