langfuse_via_openinference.py
"""
Langfuse Via OpenInference
==========================
Demonstrates instrumenting an Agno agent with OpenInference and sending traces to Langfuse.
"""
import asyncio
import base64
import os
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
from openinference.instrumentation.agno import AgnoInstrumentor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
LANGFUSE_AUTH = base64.b64encode(
f"{os.getenv('LANGFUSE_PUBLIC_KEY')}:{os.getenv('LANGFUSE_SECRET_KEY')}".encode()
).decode()
# os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = (
# "https://us.cloud.langfuse.com/api/public/otel" # US data region
# )
os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = (
"https://cloud.langfuse.com/api/public/otel" # EU data region
)
# os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = "http://localhost:3000/api/public/otel" # Local deployment (>= v3.22.0)
os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = f"Authorization=Basic {LANGFUSE_AUTH}"
tracer_provider = TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter()))
# Start instrumenting agno
AgnoInstrumentor().instrument(tracer_provider=tracer_provider)
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
name="Stock Price Agent",
model=OpenAIChat(id="gpt-5.2"),
tools=[YFinanceTools()],
instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
)
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
async def main() -> None:
await agent.aprint_response(
"What is the current price of Tesla? Then find the current price of NVIDIA",
stream=True,
)
if __name__ == "__main__":
asyncio.run(main())
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai openinference-instrumentation-agno opentelemetry-exporter-otlp opentelemetry-sdk yfinance
3
Export environment variables
export LANGFUSE_PUBLIC_KEY="your_langfuse_public_key_here"
export LANGFUSE_SECRET_KEY="your_langfuse_secret_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:LANGFUSE_PUBLIC_KEY="your_langfuse_public_key_here"
$Env:LANGFUSE_SECRET_KEY="your_langfuse_secret_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
langfuse_via_openinference.py, then run:python langfuse_via_openinference.py