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Galileo supports logging traces from Google ADK applications using OpenTelemetry and OpenInference.

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Set up OpenTelemetry

To log Google ADK agents using OpenInference, the first step is to set up OpenTelemetry.
1

Installation

Add the OpenTelemetry packages to your project:
pip install opentelemetry-api opentelemetry-sdk \
            opentelemetry-exporter-otlp
The opentelemetry-api and opentelemetry-sdk packages provide the core OpenTelemetry functionality. The opentelemetry-exporter-otlp package enables sending traces to Galileo’s OTLP endpoint.
2

Create environment variables for your Galileo settings

Set environment variables for your Galileo settings, for example in a .env file:
# Your Galileo API key
GALILEO_API_KEY="your-galileo-api-key"

# Your Galileo project name
GALILEO_PROJECT="your-galileo-project-name"

# The name of the Log stream you want to use for logging
GALILEO_LOG_STREAM="your-galileo-log-stream "
3

Get the authentication headers

The OTel headers is a dictionary containing your API key, project name, and Log stream name. The convention for OTel is to store this header as a single string of key=value pairs in the OTEL_EXPORTER_OTLP_HEADERS environment variable.
import os

# Create a dictionary of headers
headers = {
    "Galileo-API-Key": os.environ.get("GALILEO_API_KEY"),
    "project": os.environ.get("GALILEO_PROJECT"),
    "logstream": os.environ.get("GALILEO_LOG_STREAM", "default"),
}

# Set this as an environment variable
os.environ["OTEL_EXPORTER_OTLP_TRACES_HEADERS"] = ",".join(
    [f"{k}={v}" for k, v in headers.items()]
)
4

Get your endpoint

The OTel endpoint is different from Galileo’s regular API endpoint and is specifically designed to receive telemetry data in the OTLP format.If you are using app.galileo.ai, then the OTel endpoint is https://api.galileo.ai/otel/traces.If you’re using a self-hosted Galileo deployment, replace the https://api.galileo.ai/otel/traces endpoint with your deployment URL. The format of this URL is based on your console URL, replacing console with api and appending /otel/traces.For example:
  • if your console URL is https://console.galileo.example.com, the OTel endpoint would be https://api.galileo.example.com/otel/traces
  • if your console URL is https://console-galileo.apps.mycompany.com, the OTel endpoint would be https://api-galileo.apps.mycompany.com/otel/traces
The convention is to store this in the OTEL_EXPORTER_OTLP_ENDPOINT environment variable. For example:
os.environ["OTEL_EXPORTER_OTLP_TRACES_ENDPOINT"] = \
    "https://api.galileo.ai/otel/traces"
5

Create a span processor

You can now create the span processor. This will use an OTel exporter configured by loading the headers and endpoint from the environment variables.
from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
    OTLPSpanExporter
)
from opentelemetry.sdk.trace.export import BatchSpanProcessor

# Create a span process
span_processor = BatchSpanProcessor(OTLPSpanExporter())
6

Register the span processor

The span processor can now be registered with an OTel trace provider.
from opentelemetry.sdk import trace as trace_sdk

tracer_provider = trace_sdk.TracerProvider()
tracer_provider.add_span_processor(span_processor)

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Log a Google ADK agent using OpenInference

Once OpenTelemetry is configured, you can use OpenInference to log traces.
1

Install the Google ADK OpenInference support

To support OpenInference with the Google ADK, you need to install the OpenInference instrumentor.
pip install openinference-instrumentation-google-adk
2

Configure the instrumentor

You can now create a GoogleADKInstrumentor instance and instrument it with the trace provider you created earlier.
from openinference.instrumentation.google_adk import GoogleADKInstrumentor

GoogleADKInstrumentor().instrument(tracer_provider=tracer_provider)
When you run your Google ADK code, traces will be logged to Galileo.

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Full example

Here is a full example based off the Google ADK quickstart. You can find this project in the Galileo SDK examples repo. To run this example, create a .env file with the following values set, or set them as environment variables:
.env
# AWS environment variables
GOOGLE_API_KEY=your-google-api-key

# Galileo environment variables
GALILEO_API_ENDPOINT=your-galileo-otel-api-endpoint
GALILEO_API_KEY=your-galileo-api-key
GALILEO_PROJECT=your-galileo-project
GALILEO_LOG_STREAM=your-log-stream
Remember to update these to match your Galileo API key, Google API key, Galileo OTel endpoint, project name, and Log stream name. 
import os

# Google ADK imports
from google.adk.agents.llm_agent import Agent

# OpenTelemetry imports
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
    OTLPSpanExporter
)

# OpenInference imports for Google ADK instrumentation
from openinference.instrumentation.google_adk import (
    GoogleADKInstrumentor
)

# Load the Galileo API configuration from .env file
from dotenv import load_dotenv
load_dotenv()

# Configure the OTel endpoint environment variable
os.environ["OTEL_EXPORTER_OTLP_TRACES_ENDPOINT"] = os.environ.get(
    "GALILEO_API_ENDPOINT", 
    "https://api.galileo.ai/otel/traces"
)

# Create the headers using the Galileo API key, project, and log stream
headers = {
   "Galileo-API-Key": os.getenv("GALILEO_API_KEY"),
   "project": os.getenv("GALILEO_PROJECT"),
   "logstream": os.getenv("GALILEO_LOG_STREAM")
}

# Store the headers in the appropriate environment variable
os.environ['OTEL_EXPORTER_OTLP_HEADERS'] = ",".join(
    [f"{k}={v}" for k, v in headers.items()]
)

# Create and configure the OTLP span exporter
exporter = OTLPSpanExporter()
tracer_provider = trace_sdk.TracerProvider()
tracer_provider.add_span_processor(BatchSpanProcessor(exporter))

# Instrument the Google ADK with OpenTelemetry
GoogleADKInstrumentor().instrument(tracer_provider=tracer_provider)

# The following code is the example quickstart from the
# Google ADK documentation
# Mock tool implementation
def get_current_time(city: str) -> dict:
    """Returns the current time in a specified city."""
    return {"status": "success", "city": city, "time": "10:30 AM"}

# Agent definition
root_agent = Agent(
    model='gemini-2.5-flash',
    name='root_agent',
    description="Tells the current time in a specified city.",
    instruction="""
You are a helpful assistant that tells the current time in cities.
Use the 'get_current_time' tool for this purpose.
""",
    tools=[get_current_time],
)