Google Gen AI Python SDK - AI SDKs and Libraries Tool

Overview

Google Gen AI Python SDK is the official open-source Python client for Google’s Generative AI APIs (Gemini). It provides high-level primitives to interact with Gemini-style models for chat and text generation, multimodal inputs, image and video generation/edits, function calling/tool invocation, and streaming responses. The library aims to simplify authentication, request/response handling, and common patterns (chat loops, tool integration, and streaming) so developers can prototype and productionize generative AI features from Python applications. According to the GitHub repository, the project is actively maintained and designed for integration with Google Cloud credentials and APIs. Typical usage patterns include building conversational agents with function calling, generating or editing images programmatically, streaming model outputs to user interfaces, and orchestrating model-assisted tool calls. Because the SDK is a client for Google’s hosted models, API usage and compute are billed separately through Google Cloud services — consult Google Cloud’s Gen AI pricing pages for up-to-date billing information.

GitHub Statistics

• Stars: 3,169
• Forks: 725
• Contributors: 33
• License: Apache-2.0
• Primary Language: Python
• Last Updated: 2026-01-08T21:08:31Z
• Latest Release: v1.57.0

The repository (googleapis/python-genai) is open-source under Apache-2.0 and shows active maintenance: 3,169 stars, 725 forks, and 33 contributors. The project had a recent commit on 2026-01-08, indicating ongoing development. Community signals (stars and contributors) show moderate traction; the codebase includes examples and client patterns typical of Google client libraries, which helps adoption and contribution.

Installation

Install via pip:

pip install google-genai

pip install -U google-genai

pip install git+https://github.com/googleapis/python-genai.git  # install from source

Key Features

• Chat completions with multi-turn state management and system/user messages.
• Function calling / tool invocation to trigger app functions from model responses.
• Streaming responses for low-latency partial output delivery to UIs.
• Image generation and editing APIs for programmatic multimodal content.
• Video generation endpoints and client helpers for upload/download workflows.
• Examples and utilities for authentication, batching, and model selection.

Community

Active open-source project with 3,169 GitHub stars, 725 forks, and 33 contributors. The Apache-2.0 license and recent commits (last on 2026-01-08) indicate ongoing maintenance and community engagement; users report adoption in prototyping and production projects (see repository issues and examples for community discussions).

Key Information

• Category: SDKs and Libraries
• Type: AI SDKs and Libraries Tool