ai-agent

python-genai: Integrate AI Models

Name: python-genai: Integrate AI Models
Author: googleapis

Get Google's generative models in your Python app with python-genai, a SDK for developers, backed by 3.8k+ GitHub stars

intermediate⏱ 30 minutes💵 Free + LLM API costs

3,854 stars950 forksPythonQuality 9/10Updated 7/17/2026100% free · open source

What it is

Use the Google Gen AI Python SDK to add smart models to your Python apps.

What you can make with it

Apps that can generate art, summaries, and responses to user input without you writing code.

How it helps

It helps you use pre-trained, advanced AI models directly in your Python applications so you can create unique user experiences without needing extensive AI knowledge.

Real use case example

"A founder builds a Python app that uses the Google Gen AI SDK to generate unique illustrations based on user input. First, they install the SDK and import it into their project. Then, they use the SDK's functions to configure and train an AI model. Finally, they integrate the model into their app's user interface, allowing users to input their illustration preferences and generate personalized artwork instantly."

If you're new

You should pick this up when trying to understand the basics of integrating AI into simple Python apps.

If you're senior

You would reach for this when looking to integrate complex AI functionality into a large-scale Python project.

Common confusion cleared up

Be aware that the Google Gen AI SDK requires some Python experience, but using it doesn't require extensive knowledge of AI modeling or deep learning.

Best inside these AI tools

Codex CLIContinueAny AI Client

Pairs with

Claude APIStripe webhook

Why we list it on WorkflowStacks: This SDK is here because it's a popular, open-source way to integrate Google's generative AI models into your Python projects, saving you time and effort.

What it does

The python-genai SDK allows developers to integrate Google's generative models into their Python applications, enabling the use of advanced AI capabilities such as text generation and image synthesis.

Install / run

pip install google-cloud-genai

When to use it

•Building a chatbot that requires human-like text generation
•Creating an application that needs to generate images based on user input
•Developing a content generation tool that leverages AI-powered suggestions

Quick start

1Import the library by adding `from google.cloud import genai` to your Python script
2Set up authentication by running `gcloud auth application-default login` and following the prompts
3Create a client instance with `client = genai.GenAIClient()`, as shown in the README examples
4Use the `client.generate_text()` method to generate text based on a given prompt, such as `response = client.generate_text(request={'prompt': 'Hello, world!'})`
5Handle the response and any potential errors, such as `print(response.text)` to print the generated text

Ready-to-paste prompt

response = client.generate_text(request={'prompt': 'Write a short story about a character who discovers a hidden world.'})

Heads up: Before using the python-genai SDK, you need to have the Google Cloud CLI installed and configured, and you must have a Google Cloud account with the GenAI API enabled, which requires a billing account and may incur costs depending on usage.

Saves to your device

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

26.0M

repo size

Apache-2.0

license

Key files

README.md