import base64
import os
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from openinference.instrumentation.agno import AgnoInstrumentor
from opentelemetry import trace as trace_api
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
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" # πΊπΈ US data region
)
# os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"]="https://cloud.langfuse.com/api/public/otel" # πͺπΊ EU data region
# os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"]="http://localhost:3000/api/public/otel" # π 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()))
trace_api.set_tracer_provider(tracer_provider=tracer_provider)
# Start instrumenting agno
AgnoInstrumentor().instrument()
agent = Agent(
name="Stock Price Agent",
model=OpenAIChat(id="gpt-5-mini"),
tools=[DuckDuckGoTools()],
instructions="You are an internet search agent. Find and provide accurate information on any topic.",
debug_mode=True,
)
agent.print_response("What are the latest developments in artificial intelligence?")
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Set your API key
export LANGFUSE_PUBLIC_KEY=<your-key>
export LANGFUSE_SECRET_KEY=<your-key>
Install libraries
pip install -U agno openai ddgs langfuse opentelemetry-sdk opentelemetry-exporter-otlp openinference-instrumentation-agno
Run Agent
python cookbook/integrations/observability/langfuse_via_openinference.py