Google Gen AI Python SDK provides an interface for developers to integrate Google’s generative models into their Python applications. It supports the Gemini Developer API and Vertex AI APIs. ... 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')

1 month ago - If you also pass a python function as a tool, by default the SDK will perform automatic function calling until the remote calls exceed the maximum remote call for automatic function calling (default to 10 times). If you'd like to disable automatic function calling in ANY mode: from google.genai import types def get_current_weather(location: str) -> str: """Returns the current weather.

import google.genai from google.genai import types import os if os.environ.get('GOOGLE_GENAI_USE_ENTERPRISE'): MODEL_NAME = 'gemini-2.0-flash-live-preview-04-09' else: MODEL_NAME = 'gemini-live-2.5-flash-preview'; client = genai.Client() async with client.aio.live.connect( model=MODEL_NAME, config={"response_modalities": ["TEXT"]} ) as session: await session.send_client_content( turns=types.Content( role='user', parts=[types.Part(text="Hello world!")])) async for msg in session.receive(): if msg.text: print(msg.text)

April 25, 2026 - Documentation: https://googleapis.github.io/js-genai/ The Google Gen AI JavaScript SDK is designed for TypeScript and JavaScript developers to build applications powered by Gemini.

May 22, 2026 - The Google Gen AI Go SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. This SDK supports use cases like: ... For example, with just a few lines of code, ...

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:

May 5, 2026 - The Google Gen AI Java SDK provides ... you can seamlessly switch between the 2 backends without rewriting your code. import com.google.genai.Client; // Use Builder class for instantiation....

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

1 week ago - Documentation: https://googleapis.github.io/js-genai/ The Google Gen AI JavaScript SDK is designed for TypeScript and JavaScript developers to build applications powered by Gemini.

Official Documentation: ai.google.dev/gemini-api/docs · Always use the Google GenAI SDK (google-genai), which is the unified standard library for all Gemini API requests (AI Studio/Gemini Developer API and Vertex AI) as of 2025.

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 ...(result.response.text()); This repository contains sample Node and web apps demonstrating how the SDK can access and utilize the Gemini model for various use cases....

Parameter types are specified in the Google.GenAI.Types namespace. Enums are represented using structs for forward compatibility reasons. Enum values follow C# naming conventions (PascalCase). The SDK enum value contains an underlying string value that is sent to the API, which is usually UPPER_SNAKE_CASE. Please refer to the API documentation ...

Parameter types are specified in the Google.GenAI.Types namespace. Enums are represented using structs for forward compatibility reasons. Enum values follow C# naming conventions (PascalCase). The SDK enum value contains an underlying string value that is sent to the API, which is usually UPPER_SNAKE_CASE. Please refer to the API documentation ...

This project demonstrates how to use Google Gemini Generative AI models in Python using the official google-generativeai SDK. jupyter-notebook python3 gemini-models google-genai-sdk ipython-markdown

com.google.genai · com.google.genai.errors · com.google.genai.proto ·

Support ReinforcementTuning in GenAI SDK including ValidateReward API method. (e0854a6) ... A comment for field google_maps_widget_context_token in message GroundingMetadata is changed (74d81dd)

April 6, 2025 - Google Gen AI SDK documentation – The GitHub pages site for the googleapis organization., accessed April 6, 2025, https://googleapis.github.io/python-genai/

Google AI Python SDK · pip install google-generativeai · Use genai.GenerativeModel to access the API: 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) See the python quickstart for more details.