1 month ago - Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications. - googleapis/python-genai

April 25, 2026 - Documentation: https://googleapis.github.io/js-genai/ The Google Gen AI JavaScript SDK is designed for TypeScript and JavaScript developers to build applications powered by Gemini.

May 22, 2026 - The Google Gen AI Go SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. This SDK supports use cases like: ... For example, with just a few lines of code, ...

May 5, 2026 - The Google Gen AI Java SDK provides a Client class, simplifying interaction with both the Gemini API and Gemini Enterprise Agent Platform API. With minimal configuration, you can seamlessly switch between the 2 backends without rewriting your ...

Google Gen AI Python SDK provides an interface for developers to integrate Google’s generative models into their Python applications. It supports the Gemini Developer API and Vertex AI APIs. ... Please run one of the following code blocks to create a client for different services (Gemini Developer API or Vertex AI). from google import genai # Only run this block for Gemini Developer API client = genai.Client(api_key='GEMINI_API_KEY')

import google.genai from google.genai import types import os if os.environ.get('GOOGLE_GENAI_USE_ENTERPRISE'): MODEL_NAME = 'gemini-2.0-flash-live-preview-04-09' else: MODEL_NAME = 'gemini-live-2.5-flash-preview'; client = genai.Client() async with client.aio.live.connect( model=MODEL_NAME, config={"response_modalities": ["TEXT"]} ) as session: await session.send_client_content( turns=types.Content( role='user', parts=[types.Part(text="Hello world!")])) async for msg in session.receive(): if msg.text: print(msg.text)

Google Gen AI Dotnet SDK provides an interface for developers to integrate Google's generative models into their .NET applications. - googleapis/dotnet-genai

The Google Gen AI SDK for .NET is available on NuGet and GitHub: ... # Replace the `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION` values # with appropriate values for your project. export GOOGLE_CLOUD_PROJECT=GOOGLE_CLOUD_PROJECT export ...

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).

Go SDK for Google Generative AI. Contribute to google/generative-ai-go development by creating an account on GitHub.

This project demonstrates how to use Google Gemini Generative AI models in Python using the official google-generativeai SDK. jupyter-notebook python3 gemini-models google-genai-sdk ipython-markdown

using Google.GenAI; // only run this block for Gemini Enterprise Agent Platform API client = new Client( project: project, location: location, enterprise: true )

Contribute to StefH/Google-GenAI.SDK development by creating an account on GitHub.

[!NOTE] A new Javascript/Typescript SDK, @google/genai (github), is currently available in a preview launch - designed to work with Gemini 2.0 features and support both the Gemini API and the Vertex API.

April 28, 2026 - The genai.NewClient function created a client, but generative model operations were typically called on a separate GenerativeModel instance obtained from this client. Other services might have been accessed via distinct packages or patterns. import ( "github.com/google/generative-ai-go/genai" "github.com/google/generative-ai-go/genai/fileman" // For files "google.golang.org/api/option" ) client, err := genai.NewClient(ctx, option.WithAPIKey("GEMINI_API_KEY")) fileClient, err := fileman.NewClient(ctx, option.WithAPIKey("GEMINI_API_KEY")) // Get a model instance, then call methods on it model := client.GenerativeModel("gemini-3.5-flash") resp, err := model.GenerateContent(...) cs := model.StartChat() // Call methods on separate client objects for other services uploadedFile, err := fileClient.UploadFile(...)

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

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).

April 28, 2026 - The Google GenAI SDK is available for the Python, JavaScript/TypeScript, Go and Java languages. You can install each language's library using package managers, or visit their GitHub repos for further engagement:

Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications. - Releases · googleapis/python-genai

Google Gen AI Java SDK provides an interface for developers to integrate Google's generative models into their Java applications. - Releases · googleapis/java-genai