1 month ago - Please run one of the following code blocks to create a client for different services (Gemini Developer API or Agent Platform). from google import genai # Only run this block for Gemini Developer API client = genai.Client(api_key='GEMINI_API_KEY')

The client by default uses the Gemini Developer API. It gets the API // key from the environment variable `GOOGLE_API_KEY`. Vertex AI API can be used by setting the // environment variables `GOOGLE_CLOUD_LOCATION` and `GOOGLE_CLOUD_PROJECT`, ...

2 weeks ago - Please run one of the following code blocks to create a client for different services (Gemini Developer API or Agent Platform). from google import genai # Only run this block for Gemini Developer API client = genai.Client(api_key='GEMINI_API_KEY')

1 week ago - import { GoogleGenAI } from '@google/genai'; const ai = new GoogleGenAI({ enterprise: true, project: 'your_project', location: 'your_location', }); For NodeJS environments, you can create a client by configuring the necessary environment variables.

from google import genai # Only run this block for Vertex AI API client = genai.Client( vertexai=True, project='your-project-id', location='us-central1' )

1 week ago - from google import genai client = genai.Client() interaction = client.interactions.create( model="gemini-3.5-flash", input="Explain how AI works in a few words" ) print(interaction.output_text)

Google Generative AI High level API client library and tools. ... 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).

May 5, 2026 - Client client = Client.builder().apiKey("your-api-key").build(); import com.google.genai.Client; // Use Builder class for instantiation. Explicitly set the project and location, // and set `enterprise(true)` to use Gemini Enterprise Agent Platform backend.

from google import genai client = genai.Client( enterprise=True, project='my-project-id', location='us-central1' )

April 28, 2026 - Download and get started with the Gemini API Libraries + SDKs

2 weeks ago - Learn more about maintaining state in the multi-turn conversations guide, or explore stateless mode for client-side history management. Gemini models understand images, audio, video, and documents natively. Pass media alongside text in a single request. import base64 from google import genai client = genai.Client() # Load a local image with open("sample.jpg", "rb") as f: image_bytes = f.read() image_b64 = base64.b64encode(image_bytes).decode("utf-8") interaction = client.interactions.create( model="gemini-3.5-flash", input=[ {"type": "text", "text": "Compare this local image and this remote audio file."}, { "type": "image", "data": image_b64, "mime_type": "image/jpeg" }, { "type": "audio", "uri": "https://storage.googleapis.com/generativeai-downloads/data/sample.mp3", "mime_type": "audio/mp3" } ] ) print(interaction.output_text)

1 week ago - Free-to-use, cloud-native and AI-powered data migration services.

April 28, 2026 - The Google GenAI SDK is now in General Availability (GA) across all supported platforms. If you're using one of our legacy libraries, we strongly recommend you to migrate. This guide provides before-and-after examples of migrated code to help you get started. Note: The Go examples omit imports and other boilerplate code to improve readability. ... The old SDK implicitly handled the API client behind the scenes using a variety of ad hoc methods.

May 20, 2026 - Client client = new Client(); GenerateContentResponse response = client.models.generateContent( "gemini-3.5-flash", "Write a story about a magic backpack.", null); System.out.println(response.text()); ... from google import genai import PIL.Image client = genai.Client() organ = PIL.Image.open(media ...

Always use client = genai.Client() to create a client object. Set GEMINI_API_KEY (or GOOGLE_API_KEY) environment variable, which will be picked up automatically.

May 21, 2026 - Weights & Biases, developer tools for machine learning

April 25, 2026 - This SDK (@google/genai) is Google Deepmind’s "vanilla" SDK for its generative AI offerings, and is where Google Deepmind adds new AI features.

June 4, 2025 - Unofficial low-level Haskell client for the Google Gemini API (also known as GenAI API or Generative Language API).

1 month ago - import asyncio from google import genai client = genai.Client(api_key="YOUR_API_KEY") model = "gemini-3.1-flash-live-preview" config = {"response_modalities": ["AUDIO"]} async def main(): async with client.aio.live.connect(model=model, config=config) as session: print("Session started") # Send content...

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