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.

1 week ago - Call generateContent with function calling enabled · Use the returned FunctionCall parameters to call your actual function · Send the result back to the model (with history, easier in ai.chat) as a FunctionResponse · import {GoogleGenAI, FunctionCallingConfigMode, FunctionDeclaration, Type} from '@google/genai'; const GEMINI_API_KEY = process.env.GEMINI_API_KEY; async function main() { const controlLightDeclaration: FunctionDeclaration = { name: 'controlLight', parametersJsonSchema: { type: 'object', properties:{ brightness: { type:'number', }, colorTemperature: { type:'string', }, }, requi

2 weeks ago - 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.

May 27, 2026 - import { google } from '@ai-sdk/google'; import { generateText } from 'ai'; const { text } = await generateText({ model: google('gemini-2.5-pro'), prompt: 'Write a vegetarian lasagna recipe for 4 people.', });

January 29, 2026 - Start using @google-ai/generativelanguage in your project by running `npm i @google-ai/generativelanguage`. There are 36 other projects in the npm registry using @google-ai/generativelanguage.

Check out this repository. git clone https://github.com/google/generative-ai-js · Obtain an API key to use with the Google AI SDKs. cd into the samples folder and run npm install.

3 weeks ago - Latest version: 1.39.0, last published: 3 days ago. Start using @genkit-ai/google-genai in your project by running `npm i @genkit-ai/google-genai`. There are 8 other projects in the npm registry using ...

January 5, 2026 - This command tells npm to download and install the @google/generative-ai package and all its dependencies into your project’s node_modules directory. npm automatically manages the installation process, handling dependencies and ensuring that everything is set up correctly.

Latest version: 0.25.1, last published: 9 months ago. Start using @xiangfa/generative-ai in your project by running `npm i @xiangfa/generative-ai`. There are no other projects in the npm registry using @xiangfa/generative-ai.

January 5, 2026 - Alright, now that our environment is prepped and ready, let’s get to the main event: installing the Google Generative AI NPM package. The primary package you’ll need is @google/generative-ai. This library is the gateway to interacting with Google’s powerful Gemini models.

May 29, 2024 - You need to enable JavaScript to run this app

April 28, 2026 - Note: If you're using one of our legacy libraries, we strongly recommend you migrate to the Google GenAI SDK. Review the legacy libraries section for more information. If you're using an AI coding assistant, install the Gemini API development skill to give your agent access to the latest documentation and best practices.

Fast, reliable, and secure dependency management

Google AI JavaScript SDK. Latest version: 0.24.0, last published: 8 months ago. Start using @fuyun/generative-ai in your project by running `npm i @fuyun/generative-ai`. There are no other projects in the npm registry using @fuyun/generative-ai.

February 19, 2026 - npm install @revenium/google-genai · Add to your existing .env file: GOOGLE_API_KEY=your_google_ai_api_key_here REVENIUM_METERING_API_KEY=your_revenium_api_key_here # Optional: For development/testing (defaults to https://api.revenium.ai) # ...

import ( "context" "fmt" "io" "google.golang.org/genai" ) // generateWithText shows how to generate text using a text prompt. func generateWithText(w io.Writer) error { ctx := context.Background() client, err := genai.NewClient(ctx, &genai.ClientConfig{ HTTPOptions: genai.HTTPOptions{APIVersion: "v1"}, }) if err != nil { return fmt.Errorf("failed to create genai client: %w", err) } resp, err := client.Models.GenerateContent(ctx, "gemini-2.5-flash", genai.Text("How does AI work?"), nil, ) if err != nil { return fmt.Errorf("failed to generate content: %w", err) } respText := resp.Text() fmt.Fprintln(w, respText) // Example response: // That's a great question! Understanding how AI works can feel like ... // ... // **1. The Foundation: Data and Algorithms** // ... return nil } The Google Gen AI SDK for TypeScript and JavaScript is available on npm and GitHub: @google/genai on npm ·

April 10, 2025 - This is is really hard for me to figure out because there are so many different repos names and different npm names and different python repo / pip names - and completely without any schema. I even tried to ask Gemini 2.5 pro and you made it so confusing that even gemini providing some misleading ...

The dist-tags follow the naming convention legacy-(version). For example, npm install @google-ai/generativelanguage@legacy-8 installs client libraries for versions compatible with Node.js 8.

Dual API Support: Works seamlessly with both Google AI Studio's Gemini API (using an API key) and Google Cloud's Vertex AI platform. Model Agnostic (within Google): Accepts standard Google model identifier strings (e.g., 'gemini-1.5-pro', 'gemini-1.5-flash'). Core Functionality: Focuses on text generation, streaming, and structured object generation using the underlying Google SDK. npm install @voltagent/core @voltagent/google-ai zod

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.