> ## Documentation Index
> Fetch the complete documentation index at: https://futureagi.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Google GenAI

## 1. Installation

Install the traceAI and Google GenAI packages.

```bash theme={null}
pip install traceAI-google-genai
```

***

## 2. Set Environment Variables

Set up your environment variables to authenticate with FutureAGI.

```python theme={null}
import os

os.environ["FI_API_KEY"] = "your-futureagi-api-key"
os.environ["FI_SECRET_KEY"] = "your-futureagi-secret-key"
```

***

## 3. Initialize Trace Provider

Set up the trace provider to create a new project in FutureAGI, establish telemetry data pipelines .

```python theme={null}
from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType

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

***

## 4. Instrument your Project

Instrument your project to enable automatic tracing.

```python theme={null}
from traceai_google_genai import GoogleGenAIInstrumentor

GoogleGenAIInstrumentor().instrument(tracer_provider=trace_provider)
```

***

## 5. Interact with Google ADK

Start interacting with Google ADK as you normally would. Our Instrumentor will automatically trace and send the telemetry data to our platform. Here is a sample code using the Google ADK SDK.

```python theme={null}
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)
```