April 25, 2026 - TypeScript/JavaScript SDK for Gemini and Vertex AI. - googleapis/js-genai

@google/genai on npm · js-genai on GitHub · npm install @google/genai · Set environment variables to use the Gen AI SDK with Vertex AI: # 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 ·

1 week ago - 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.

April 28, 2026 - The Google GenAI SDK is available for the Python, JavaScript/TypeScript, Go and Java languages.

April 29, 2025 - Google AI JavaScript SDK. Latest version: 0.24.1, last published: a year ago. Start using @google/generative-ai in your project by running `npm i @google/generative-ai`. There are 1945 other projects in the npm registry using @google/generative-ai.

If you are not redirected automatically, click here to go to the release version docs

Learn how to use the Gemini API and the Google Gen AI SDK for JavaScript and TypeScript to prototype generative AI for web apps. Use the Google Gen AI SDK to make your first generative AI call using the Gemini API in your client-side web application. Explore a sample application and learn how to make multimodal prompts (that combine image and text).

Please be advised that this repository is now considered legacy. For the latest features, performance improvements, and active development, we strongly recommend migrating to the official Google Generative AI SDK for JavaScript.

January 30, 2026 - import { GoogleGenAI } from '@google/genai'; const GEMINI_API_KEY = process.env.GEMINI_API_KEY; // Or your actual API key const ai = new GoogleGenAI({ apiKey: GEMINI_API_KEY }); async function run() { // Example: Generate text content const model = ai.models.generateContent({ model: "gemini-pro", // Or a specific Gemini 2.5 model like "gemini-2.5-flash-001" contents: [{ role: "user", parts: [{ text: "Explain the significance of the Google Gen AI SDK."

March 11, 2025 - Documentation: https://googleapis.github.io/js-genai/ The Google Gen AI JavaScript SDK is an experimental SDK designed for TypeScript and JavaScript developers to build applications powered by Gemini.

April 22, 2024 - The Google AI JavaScript 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: ... You can use this JavaScript SDK for applications ...

2 weeks ago - Google Generative AI integration for LangChain.js. Latest version: 2.2.0, last published: 10 days ago. Start using @langchain/google-genai in your project by running `npm i @langchain/google-genai`. There are 341 other projects in the npm registry using @langchain/google-genai.

November 27, 2025 - 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.

See the Node.js quickstart for complete code. Install the SDK package · npm install @google/generative-ai · Initialize the model · import { GoogleGenerativeAI } from "@google/generative-ai"; const genAI = new GoogleGenerativeAI(process.env.API_KEY); const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" }); Run a prompt ·

3 weeks ago - import { genkit } from 'genkit'; import { googleAI } from '@genkit-ai/google-genai'; const ai = genkit({ plugins: [googleAI()], }); const response = await ai.generate({ model: googleAI.model('gemini-flash-latest'), prompt: 'Tell me something interesting about Google AI.', }); console.log(response.text());

TypeScript/JavaScript SDK for Gemini and Vertex AI. - googleapis/js-genai

2 weeks ago - Configure the model to return JSON that matches a schema you define. Structured output works with Pydantic (Python) and Zod (JavaScript). from google import genai from pydantic import BaseModel, Field from typing import List, Optional class Recipe(BaseModel): recipe_name: str = Field(description="Name of the recipe.") ingredients: List[str] = Field(description="List of ingredients.") prep_time_minutes: Optional[int] = Field(description="Prep time in minutes.") client = genai.Client() interaction = client.interactions.create( model="gemini-3.5-flash", input="Give me a recipe for banana bread", response_format={ "type": "text", "mime_type": "application/json", "schema": Recipe.model_json_schema() }, ) recipe = Recipe.model_validate_json(interaction.output_text) print(recipe)

October 13, 2025 - A wrapper around the Google Gen AI SDK that wraps the Gemini API with Pangea AI Guard. Supports Node.js v22 and greater. npm install @pangeacyber/google-genai ·

June 20, 2025 - In my server.js file, I configured the Gemini model with a high temperature to ensure it would generate unique responses for every request. // Import the Google AI client const { GoogleGenerativeAI } = require('@google/generative-ai'); const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY); // Define a generation config with a high temperature for unique responses const generationConfig = { temperature: 0.9, }; // Initialize the model WITH the new generation configuration const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash", generationConfig: generationConfig, // Pass our new config here });

TypeScript/JavaScript SDK for Gemini and Vertex AI. - Releases · googleapis/js-genai