openinference-instrumentation-agno 0.1.34


pip install openinference-instrumentation-agno

  Latest version

Released: May 18, 2026

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Author: OpenInference Authors
Requires Python: <3.15,>=3.10

Classifiers

Development Status
  • 5 - Production/Stable

Intended Audience
  • Developers

License
  • OSI Approved :: Apache Software License

Programming Language
  • Python
  • Python :: 3
  • Python :: 3.10
  • Python :: 3.11
  • Python :: 3.12
  • Python :: 3.13
  • Python :: 3.14

OpenInference Agno Instrumentation

pypi

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

Extras:
Dependencies:
openinference-instrumentation (>=0.1.51)
openinference-semantic-conventions (>=0.1.17)
opentelemetry-api
opentelemetry-instrumentation
opentelemetry-semantic-conventions
typing-extensions
wrapt