1 month ago - Please run one of the following code blocks to create a client for different services (Gemini Developer API or Agent Platform). from google import genai # Only run this block for Gemini Developer API client = genai.Client(api_key='GEMINI_API_KEY')

May 5, 2026 - Client client = Client.builder().apiKey("your-api-key").build(); import com.google.genai.Client; // Use Builder class for instantiation. Explicitly set the project and location, // and set `enterprise(true)` to use Gemini Enterprise Agent Platform ...

Please run one of the following code blocks to create a client for different services (Gemini Developer API or Vertex AI). from google import genai # Only run this block for Gemini Developer API client = genai.Client(api_key='GEMINI_API_KEY')

May 22, 2026 - Add the SDK to your module with go get google.golang.org/genai. ... client, err := genai.NewClient(ctx, &genai.ClientConfig{ APIKey: apiKey, Backend: genai.BackendGeminiAPI, })

from google import genai client = genai.Client( enterprise=True, project='my-project-id', location='us-central1' )

Please run one of the following ... using Google.GenAI; // Only run this block for Gemini Developer API var client = new Client(apiKey: apiKey);...

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

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

Go SDK for Google Generative AI. Contribute to google/generative-ai-go development by creating an account on GitHub.

This SDK is now deprecated, use the new unified Google GenAI SDK. - GitHub - google-gemini/deprecated-generative-ai-python: This SDK is now deprecated, use the new unified Google GenAI SDK.

May 2, 2025 - A Client is a Google generative AI client. Example (SetProxy) ¶ · package main import ( "context" "fmt" "log" "net/http" "net/url" "os" "github.com/google/generative-ai-go/genai" "google.golang.org/api/option" ) // ProxyRoundTripper is an implementation of http.RoundTripper that supports // setting a proxy server URL for genai clients.

Please run one of the following code blocks to create a client for different services (Gemini Developer API or Gemini Enterprise Agent Platform). using Google.GenAI; // Only run this block for Gemini Developer API var client = new Client(apiKey: apiKey);

5 days ago - Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform - GoogleCloudPlatform/generative-ai

The Google Gen AI SDK for .NET is available on NuGet and GitHub: ... # 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

Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications. - Releases · googleapis/python-genai

April 28, 2026 - The Google GenAI SDK is available for the Python, JavaScript/TypeScript, Go and Java languages. You can install each language's library using package managers, or visit their GitHub repos for further engagement:

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(...)

Processor Intro Colab - an introduction ... of GenAI Processors. Create Your Own Processor - a walkthrough of the typical steps to create a Processor or a PartProcessor. Work with the Live API - a couple of examples of real-time processors built from the Gemini Live API using the LiveProcessor class. Explore the examples/ directory for practical demonstrations: Real-Time Live Example - an Audio-in Audio-out Live agent with google search as a tool. It is a client-side ...

August 15, 2025 - When using the Python ADK with Gemini models, the Gemini class internally creates its own google.genai.Client based on environment variables or ADC. There is no way to inject a preconfigured genai.Client instance directly. This makes it impossible to control the underlying genai.Client entirely in code (e.g., to avoid environment variable reliance or to set vertexai=True, project, and location programmatically).

Always use client = genai.Client() to create a client object. Set GEMINI_API_KEY (or GOOGLE_API_KEY) environment variable, which will be picked up automatically.