Google Gen AI OpenTelemetry Integration

Overview

This integration provides support for using OpenTelemetry with the Google Gen AI framework. It enables tracing and monitoring of applications built with Google Gen AI.

Installation

1. Install traceAI Google Gen AI

pip install traceAI-google-genai

Set Environment Variables

Set up your environment variables to authenticate with FutureAGI

import os

os.environ["FI_API_KEY"] = FI_API_KEY
os.environ["FI_SECRET_KEY"] = FI_SECRET_KEY

Quickstart

Register Tracer Provider

Set up the trace provider to establish the observability pipeline. The trace provider:

from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType

trace_provider = register(
    project_type=ProjectType.OBSERVE,
    project_name="google_genai_project"
)

Configure Google Gen AI Instrumentation

Instrument the Google Gen AI client to enable telemetry collection. This step ensures that all interactions with the Google Gen AI SDK are tracked and monitored.

from traceai_google_genai import GoogleGenAIInstrumentor

GoogleGenAIInstrumentor().instrument(tracer_provider=trace_provider)

Make a request

Set up your Google Gen AI client with built-in observability.

from google import genai
from google.genai import types

client = genai.Client(vertexai=True, project="your_project_name", location="global")

content = types.Content(
    role="user",
    parts=[
        types.Part.from_text(text="Hello how are you?"),
    ],
)
response = client.models.generate_content(
    model="gemini-2.0-flash-001", contents=content
)

print(response)