May 22, 2026 - import "google.golang.org/genai" client, err := genai.NewClient(ctx, &genai.ClientConfig{ APIKey: apiKey, Backend: genai.BackendGeminiAPI, }) client, err := genai.NewClient(ctx, &genai.ClientConfig{ Project: project, Location: location, Backend: genai.BackendEnterprise, }) You can create a client by configuring the necessary environment variables. Configuration setup instructions depends on whether you're using the Gemini Developer API or the Gemini API in Gemini Enterprise Agent Platform.

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).

August 27, 2024 - package cmd import ( "context" "fmt" "log" "os" "github.com/google/generative-ai-go/genai" "github.com/spf13/cobra" "google.golang.org/api/option" ) // searchCmd represents the search command var searchCmd = &cobra.Command{ Use: "search", Short: "A brief description of your command", // Added the getResponse() function Run: func(cmd *cobra.Command, args []string) { getResponse() }, } func init() { rootCmd.AddCommand(searchCmd) } func getResponse() { 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") resp, err := model.GenerateContent(ctx, genai.Text("Write a story about a AI and magic")) if err != nil { log.Fatal(err) } fmt.Println(resp.Candidates[0].Content.Parts[0]) }

Client and server library for the Gemini protocol, in Go. - makew0rld/go-gemini

3 weeks ago - Gemini API on Gemini Enterprise Agent Platform: Set GOOGLE_GENAI_USE_ENTERPRISE, GOOGLE_CLOUD_PROJECT and GOOGLE_CLOUD_LOCATION, as shown below: export GOOGLE_GENAI_USE_ENTERPRISE=true export GOOGLE_CLOUD_PROJECT='your-project-id' export GOOGLE_CLOUD_LOCATION='us-central1' client, err := genai.NewClient(ctx, &genai.ClientConfig{})

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

February 19, 2024 - Call client.Close() to close it proactively. Use a model specifically tailored to your use case (e.g., gemini-pro-vision for multimodal input, gemini-pro for text generation and continuous dialogue). import "github.com/google/generative-ai-go/genai" import "google.golang.org/api/option" ctx := context.Background() // Access your API key as an environment variable (see "Set up your API key" above) client, err := genai.NewClient(ctx, option.WithAPIKey(os.Getenv("API_KEY"))) if err != nil { log.Fatal(err) } defer client.Close() model := client.GenerativeModel("MODEL_NAME") When the prompt input i

December 15, 2024 - To connect and use Gemini with Go, Google's LLM, one can use their official Go SDK for doing this. In this post, we will just show a simple chat example to demonstrate how to make it work with Go.

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.

go-gemini is a library that provide an easy interface to create client and servers that speak the Gemini protocol.

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)) }

Package gemini provides an easy interface to create client and servers that speak the Gemini protocol.

February 17, 2026 - Here is a Cloud Function that takes a prompt and returns a Gemini response. package myfunction import ( "context" "encoding/json" "fmt" "log" "net/http" "os" "github.com/GoogleCloudPlatform/functions-framework-go/functions" "google.golang.org/genai" ) // init registers the Cloud Function entry point func init() { functions.HTTP("GenerateText", GenerateText) } // GenerateRequest represents the incoming request payload type GenerateRequest struct { Prompt string `json:"prompt"` MaxTokens int `json:"max_tokens,omitempty"` Temperature float32 `json:"temperature,omitempty"` } // GenerateResponse re

May 11, 2024 - Package gemini provides Gemini client and server implementations.

go-gemini is an implementation of the Gemini API (public and private) in Golang. Based off of https://github.com/toorop/go-bittrex/ import "github.com/jyap808/go-gemini" This library is more of a framework for some bots I use so it is expected ...

gemini client, server and browser implementation written in go · 59956df Guard generating hints for 0 elements · ~jzs pushed to ~jzs/gomb git 5 years ago · 36469d4 Hints as qutebrowser. ~jzs pushed to ~jzs/gomb git 5 years ago · View project feed RSS Report abuse ·

January 30, 2026 - It uses the provided context and configuration to initialize the underlying genai.Client. The modelName specifies which Gemini model to target (e.g., "gemini-2.5-flash"). An error is returned if the genai.Client fails to initialize. This section is empty. View all Source files ·

December 4, 2025 - Once we are done with loading the environments and retrieving the API Key, we need to initialize the Gemini Pro Vision Client and connect it with the model.

September 14, 2024 - In this blog post, we’ll explore how to create a chat application powered by Gemini PRO using the Go programming language. We’ll cover the integration of this model, handling user prompts, and implementing a apikey based caching system for a more personalized experience. To utilize this application, you’ll need an API key from ai.google.dev · Go (Golang): A statically typed, compiled language designed for simplicity and efficiency.