Gemini observability

pip install -U 'lmnr[all]' google-genai python-dotenv

# .env file
LMNR_PROJECT_API_KEY=your-laminar-project-api-key
GEMINI_API_KEY=your-gemini-api-key

from lmnr import Laminar
from google import genai
import os
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# This single line instruments all Gemini API calls
Laminar.initialize()

# Initialize Gemini client as usual
client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])

# Make API calls to Gemini as you normally would
response = client.models.generate_content(
    model="gemini-2.5-flash-preview-04-17",
    contents="Tell me a short story about a robot learning to paint."
)

print(response.text)