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')

April 28, 2026 - If you're using an AI coding assistant, ... follow our Get started guide to get started. The Google GenAI SDK is available for the Python, JavaScript/TypeScript, Go and Java languages....

1 month ago - To learn more, see the Python SDK reference. ... # 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

2 weeks ago - The Interactions API is available through the Python and JavaScript SDKs, as well as through REST. To use the Gemini API, you need an API key. Create one for free to get started: ... Install the SDK and generate text with a single API call.

Google Generative AI High level API client library and tools.

Usage: .. code-block:: python ... class genai.client.Client(*, enterprise=None, vertexai=None, api_key=None, credentials=None, project=None, location=None, debug_config=None, http_options=None)¶

Python API reference for langchain_google_genai. Part of the LangChain ecosystem.

April 6, 2025 - ✅ Unified Access: Use the same SDK for both Gemini Developer API and Vertex AI—no major code changes needed 🔁 🛠️ Core Features: ... 📦 Installation: pip install -U google-genai 🔐 Authentication: Use API key or Google Cloud ...

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='g...

Please be advised that this repository is now considered legacy. For the latest features, performance improvements, and active development, we strongly recommend migrating to the official Google Generative AI SDK for Python.

Documentation and resources for building and implementing generative AI applications with Google Cloud tools and productss.

April 20, 2026 - Create a Python command-line application that makes requests to the Google Docs API · Quickstarts explain how to set up and run an app that calls a Google Workspace API. This quickstart uses a simplified authentication approach that is appropriate ...

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Learn how to use Google's Generative AI models through the Gemini Developer API, including text generation, embeddings, image generation, video generation, and text-to-speech.

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This document provides detailed function reference manual of the GeAI package in the Python programming language.

# Initialize a Gemini model appropriate for your use case. model = genai.GenerativeModel('models/gemini-1.5-flash') # Create the prompt. prompt = "Please summarize the audio." # Load the samplesmall.mp3 file into a Python Blob object containing ...

1 week ago - GenAI SDKs · Official SDKs for Python, JavaScript, Go, Java, and C++ Start · Interactions API · Build stateful, multi-turn agents with managed tool execution and history Start · Tools · Extensible function calling and native tool support, including Search and Maps grounding Start ·