openinference
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:
```python example.py 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.run(“What is currently trending on Twitter?”)
Finally, run the example:
```shell
python example.py
Finally, browse for your trace in Phoenix at http://localhost:6006!