May 22, 2026 - The Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications. It supports the Gemini Developer API and Gemini Enterprise Agent Platform APIs.

package main import ( "encoding/json" "fmt" "github.com/claudiocandio/gemini-api" ) func main() { api := gemini.New( false, // if this is false, it will use Gemini Sandox site: <https://api.sandbox.gemini.com> // if this is true, it will use Gemini Production site: <https://api.gemini.com> "MyGeminiApiKey", // GEMINI_API_KEY "MyGeminiApiSecret", // GEMINI_API_SECRET ) // check more api methods in private.go & public.go accountDetail, err := api.AccountDetail() if err != nil { fmt.Printf("Error AccountDetail: %s\n", err) return } j, err := json.MarshalIndent(&accountDetail, "", " ") if err != nil { fmt.Printf("Error MarshalIndent: %s\n", err) } fmt.Printf("%s", j) }

package main import ( "fmt" "github.com/jyap808/go-gemini" ) const ( API_KEY = "YOUR_API_KEY" API_SECRET = "YOUR_API_SECRET" ) func main() { // Gemini client gemini := gemini.New(API_KEY, API_SECRET) // Get markets markets, err := gemini.GetMarkets() fmt.Println(err, markets) }

August 27, 2024 - Now, let's work on the API side of things. Let's Import packages for Google Gemini API as well as other necessary for logging and os level tasks. Here is a complete list. import ( "context" "log" "os" "github.com/google/generative-ai-go/genai" "github.com/spf13/cobra" "google.golang.org/api/option" )

3 weeks ago - The Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications. It supports the Gemini Developer API and Gemini Enterprise Agent Platform APIs.

May 4, 2024 - You will need an API Key to call Gemini, you can get it here: https://ai.google.dev/gemini-api/docs/api-key · 2. Store it in an environmental variable. I have it in my ˜/.bashrc: ... Note: If you use ZSH, you can put it in the ~/.zshrc and load it with the same command shown above. ... package main import ( "bufio" "context" "fmt" "log" "os" "strings" "time" "github.com/google/generative-ai-go/genai" "google.golang.org/api/option" ) func printModelResponse(resp *genai.GenerateContentResponse) {…

package main import ( "context" "encoding/json" "fmt" "log" "os" "github.com/google/generative-ai-go/genai" "google.golang.org/api/option" ) func main() { ctx := context.Background() client, err := genai.NewClient(ctx, option.WithAPIKey(os.Getenv("API_KEY"))) if err != nil { log.Fatal(err) } defer client.Close() model := client.GenerativeModel("gemini-pro-vision") imgData1, err := os.ReadFile("../images/turtle1.png") if err != nil { log.Fatal(err) } imgData2, err := os.ReadFile("../images/turtle2.png") if err != nil { log.Fatal(err) } prompt := []genai.Part{ genai.ImageData("png", imgData1), genai.ImageData("png", imgData2), genai.Text("Describe the difference between these two pictures, with scientific detail"), } resp, err := model.GenerateContent(ctx, prompt...) if err != nil { log.Fatal(err) } bs, _ := json.MarshalIndent(resp, "", " ") fmt.Println(string(bs)) }

February 19, 2024 - Golang · Gemini is a series of multimodal generative AI models developed by Google. Gemini models can accept text and image in prompts, depending on what model variation you choose, and output text responses. The legacy PaLM models accept text-only and output text responses.

import { GoogleGenAI } from "@google/genai"; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ model: "gemini-3.5-flash", input: "Explain how AI works in a few words", }); console.log(interaction.output_text); curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H 'Content-Type: application/json' \ -H "Api-Revision: 2026-05-20" \ -d '{ "model": "gemini-3.5-flash", "input": "Explain how AI works in a few words" }'

package main import ( "encoding/json" "fmt" "github.com/claudiocandio/gemini-api" ) func main() { api := gemini.New( false, // false uses Gemini Sandox site - true uses Gemini Production site "MyGeminiApiKey", // GEMINI_API_KEY "MyGeminiApiSecret", // GEMINI_API_SECRET ) // check more api.nameAPI() in private.go & public.go accountDetail, err := api.AccountDetail() if err != nil { fmt.Printf("Error AccountDetail: %s\n", err) return } j, err := json.MarshalIndent(&accountDetail, "", " ") if err != nil { fmt.Printf("Error MarshalIndent: %s\n", err) } fmt.Printf("%s", j) }

December 18, 2024 - Gemini with Go template is integrated with Gemini API to leverage the power of AI.

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).

December 4, 2025 - To use Google Gemini with Golang, we need to get the API Key from Google AI Studio.

December 15, 2024 - To interact with Google's Gemini LLM using Go, developers can leverage the official Go SDK. The process involves initializing a genai.Client with an API key, then selecting a specific generative model such as "gemini-1.5-flash-latest". After optionally setting parameters like Temperature to control output randomness, content generation is initiated by calling model.GenerateContent with the desired text prompt.

The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to be multimodal. It can generalize and seamlessly understand, operate across, and combine different ...

This library provides unofficial Go clients for Gemini API.

May 2, 2025 - package main import ( "context" "fmt" "log" "os" "github.com/google/generative-ai-go/genai" "google.golang.org/api/option" ) func main() { ctx := context.Background() client, err := genai.NewClient(ctx, option.WithAPIKey(os.Getenv("GEMINI_API_KEY"))) if err != nil { log.Fatal(err) } defer client.Close() model := client.GenerativeModel("gemini-1.5-flash") cs := model.StartChat() cs.History = []*genai.Content{ { Parts: []genai.Part{ genai.Text("Hello, I have 2 dogs in my house."), }, Role: "user", }, { Parts: []genai.Part{ genai.Text("Great to meet you.

Setup the Google Gemini API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Google Gemini and Go remarkably fast. Free for developers.

Simple way to use Gemini from Go, including function calls / tools - xyproto/geminiclient