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(...)

import { GoogleGenerativeAI } from "@google/generative-ai"; const genAI = new GoogleGenerativeAI(process.env.API_KEY); const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });

>>> 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..."

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).

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 about how an LLM works') print(response.text)

import { GoogleGenerativeAI } from "@google/generative-ai"; const genAI = new GoogleGenerativeAI(process.env.API_KEY); const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });

const { GoogleGenerativeAI } = require("@google/generative-ai"); const genAI = new GoogleGenerativeAI(process.env.API_KEY); const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });

May 2, 2025 - What would you like to know?"), }, Role: "model", }, } iter := cs.SendMessageStream(ctx, genai.Text("How many paws are in my house?")) for { resp, err := iter.Next() if err == iterator.Done { break } if err != nil { log.Fatal(err) } printResponse(resp) } } func printResponse(resp *genai.GenerateContentResponse) { for _, cand := range resp.Candidates { if cand.Content != nil { for _, part := range cand.Content.Parts { fmt.Println(part) } } } fmt.Println("---") } ... package main import ( "context" "fmt" "log" "os" "path/filepath" "github.com/google/generative-ai-go/genai" "github.com/google/gen

March 18, 2025 - I was hoping I could use latest model to generate image via API. I'm using model = genAI.getGenerativeModel({ model: "gemini-2.0-flash-exp-image-generation",safetySettings });

April 22, 2024 - Check out this repository. git clone https://github.com/google/generative-ai-js

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

Copyconst model = genAI.getGenerativeModel({ model: "the-model-name-here" }); Hope that helps. Share · Share a link to this answer · Copy linkCC BY-SA 4.0 · Short permalink to this answer · Improve this answer · Follow · Follow this answer to receive notifications ·

February 19, 2026 - Generative AI creates text, images, and code using deep learning. Explore GenAI tools, models, and how it’s shaping artificial intelligence today.

June 24, 2024 - If you want to see more of the code, or run it yourself, you can find the repo here: https://github.com/cfjedimaster/ai-testingzone/tree/main/content_assistant.

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OpenVINO™ GenAI is a library of the most popular Generative AI model pipelines, optimized execution methods, and samples that run on top of highly performant OpenVINO Runtime.

February 11, 2025 - Description of the bug: i tried script on page: https://ai.google.dev/gemini-api/docs/code-execution?lang=python from google import genai model = genai.GenerativeModel(model_name='gemini-2.0-flash-...

Overrides BaseModule.constructor · Given a list of contents, returns a corresponding TokensInfo containing the list of tokens and list of token ids

March 3, 2024 - import os import google.generativeai as genai from dotenv import load_dotenv def init_api_keys(): try: load_dotenv() api_key = os.getenv("GEMINI_API_KEY") genai.configure(api_key=api_key) except Exception as exception: print("Error in initializing API keys:", exception) raise def generate_response(prompt:str): # Set up the model generation_config = { "temperature": 0.1, "top_p": 1, "top_k": 1, "max_output_tokens": 2048, } model = genai.GenerativeModel(model_name="gemini-1.5-pro-latest",generation_config=generation_config) prompt_parts = [prompt] try: response = model.generate_content(prompt_parts) print(response.text) except Exception as exception: print("Error generating response:", exception) if __name__ == "__main__": init_api_keys() prompt = input("> ") generate_response(prompt)