April 28, 2026 - import google.generativeai as genai genai.configure(api_key=...)

With Gemini 2.0, we took the chance to create a single unified SDK for all developers who want to use Google's GenAI models (Gemini, Veo, Imagen, etc). As part of that process, we took all of the feedback from this SDK and what developers like about other SDKs in the ecosystem to create the Google Gen AI SDK.

January 22, 2025 - I am using this library in Python. I want this library to connect to AI through a proxy How should I set it up? I tried this: os.environ[‘HTTP_PROXY’] = ‘socks5://127.0.0.1:7890’ os.environ[‘HTTPS_PROXY’] = ‘socks5://127.0.0.1:7890’ But it didn’t work.

September 8, 2024 - # Install Google Generative AI library !pip install -U google-generativeai # Import required libraries import google.generativeai as genai import os

Use genai.GenerativeModel to access the API: import google.generativeai as genai import os genai.configure(api_key=os.environ['API_KEY']) model = genai.GenerativeModel(model_name='gemini-1.5-flash') response = model.generate_content('Teach me ...

1 month ago - from google import genai # Only run this block for Agent Platform client = genai.Client( enterprise=True, project='your-project-id', location='global' )

2 weeks ago - from google import genai # Only run this block for Agent Platform client = genai.Client( enterprise=True, project='your-project-id', location='global' )

October 17, 2024 - Description of the bug: Using the following code: import os import google.generativeai as genai I tried every method there was. I even did: pip install google-generativeai pip install -U google-gen...

1 week ago - For quicker, more responsive API interactions use the generateContentStream method which yields chunks as they're generated: import {GoogleGenAI} from '@google/genai'; const GEMINI_API_KEY = process.env.GEMINI_API_KEY; const ai = new ...

July 11, 2024 - import google.generativeai as genai import os from dotenv import load_dotenv # Load API key from .env file load_dotenv() google_api_key = os.getenv('API_KEY') # Configure the Generative AI model genai.configure(api_key=google_api_key)

May 10, 2025 - import google.generativeai as genai · genai.configure(api_key="YOUR_API_KEY") This key allows the SDK to access Google’s Generative AI models on your behalf.

>>> import google.generativeai as genai >>> import PIL.Image >>> genai.configure(api_key='YOUR_API_KEY') >>> model = genai.GenerativeModel('models/gemini-1.5-flash') >>> result = model.generate_content('Tell me a story about a magic backpack') >>> result.text "In the quaint little town of Lakeside, there lived a young girl named Lily..."

import instructor import google.generativeai as genai client = instructor.from_provider( "google/gemini-2.5-flash", mode=instructor.Mode.JSON, ) import instructor # Option 1: Using from_provider (recommended) client = instructor.from_provider("google/gemini-2.5-flash") # Option 2: Using from_genai ...

from google.genai import types contents = types.Part.from_uri( file_uri: 'gs://generativeai-downloads/images/scones.jpg', mime_type: 'image/jpeg', ) The SDK converts all non function call parts into a content with a user role.

Do not try to adjust thinking budgets for other models (such as gemini-2.0-flash or gemini-2.0-pro), otherwise it will cause syntax errors. Use system instructions to guide model's behavior. from google import genai from google.genai import types client = genai.Client() response = client.models.generate_content( model='gemini-3-flash-preview', contents='Explain quantum physics.', config=types.GenerateContentConfig( system_instruction='You are a pirate', ) ) print(response.text)

February 9, 2025 - Change the default Google library from google-generativeai to google-genai. Also the import statement import google.generativeai as genai should be changed to import google as genai to support new advanced features such as system instructions ...

# Replace the `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION` values # with appropriate values for your project. export GOOGLE_CLOUD_PROJECT=GOOGLE_CLOUD_PROJECT export GOOGLE_CLOUD_LOCATION=global export GOOGLE_GENAI_USE_ENTERPRISE=True · import ( "context" "fmt" "io" "google.golang.org/genai" ) // generateWithText shows how to generate text using a text prompt.

March 24, 2026 - The google.generativeai package has been deprecated. Migration to the new google-genai SDK is recommended. Developers should migrate as soon as possible. Integrated interface with Gemini 2.5 Pro/Flash models · Support for context caching · Automatic loading of authentication via the GOOGLE_GENAI_API_KEY environment variable · pip install --upgrade google-genai · # Old Code (Deprecated) import google.generativeai as genai genai.configure(api_key="your-key") # New Code from google import genai client = genai.Client() # Automatically loads GOOGLE_GENAI_API_KEY ·

Install google-generativeai with Anaconda.org. The Gemini API Python SDK enables developers to use Google's state-of-the-art generative AI models to build AI-powered features and applications.