openinference-instrumentation-agno 0.1.37

OpenInference Agno Instrumentation

OpenInference Agno Instrumentation

Python auto-instrumentation library for Agno Agents

The following instrumentation is fully OpenTelemetry-compatible and can be sent to an OpenTelemetry collector for monitoring, such as arize-phoenix or Langfuse.

Installation

pip install openinference-instrumentation-agno

Quickstart

This quickstart shows you how to instrument your Agno Agent application.

You've already installed openinference-instrumentation-agno. Next is to install packages for agno, Phoenix and opentelemetry-instrument, which exports traces to it.

pip install agno arize-phoenix opentelemetry-sdk opentelemetry-exporter-otlp-proto-grpc opentelemetry-distro

Start the Phoenix app in the background as a collector:

phoenix serve

By default, it listens on http://localhost:6006. You can visit the app via a browser at the same address.

The Phoenix app does not send data over the internet. It only operates locally on your machine.

Create a simple Agno agent:

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.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry import trace as trace_api
from opentelemetry.sdk.trace.export import ConsoleSpanExporter, SimpleSpanProcessor

endpoint = "http://127.0.0.1:6006/v1/traces"
tracer_provider = trace_sdk.TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))
# Optionally, you can also print the spans to the console.
tracer_provider.add_span_processor(SimpleSpanProcessor(ConsoleSpanExporter()))

trace_api.set_tracer_provider(tracer_provider=tracer_provider)

# Start instrumenting agno
AgnoInstrumentor().instrument()


agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"), 
    tools=[DuckDuckGoTools()],
    markdown=True, 
    debug_mode=True,
)

agent.print_response("What is currently trending on Twitter?")

Finally, run the example:

python example.py

Finally, browse for your trace in Phoenix at http://localhost:6006!

More Info

• More info on OpenInference and Phoenix
• How to customize spans to track sessions, metadata, etc.
• How to account for private information and span payload customization