import base64
import os
from enum import Enum
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
from pydantic import BaseModel, Field
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()
class ContentType(Enum):
NEWS = "news"
ARTICLE = "article"
BLOG = "blog"
RESEARCH = "research"
OTHER = "other"
class WebSearchResult(BaseModel):
title: str = Field(description="The title of the search result")
url: str = Field(description="The URL of the search result")
snippet: str = Field(description="A brief description or snippet from the result")
content_type: ContentType = Field(description="The type of content found")
relevance_score: int = Field(description="Relevance score from 1-10", ge=1, le=10)
agent = Agent(
name="Web Research Agent",
model=OpenAIChat(id="gpt-5-mini"),
tools=[DuckDuckGoTools()],
instructions="You are a web research agent. Use DuckDuckGo to search the web and find relevant information. Analyze the search results and provide structured information about what you find.",
debug_mode=True,
output_schema=WebSearchResult,
)
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 ddgs langfuse opentelemetry-sdk opentelemetry-exporter-otlp openinference-instrumentation-agno
Run Agent
python cookbook/integrations/observability/langfuse_via_openinference_response_model.py