2 weeks ago - The following example shows how to declare a function and pass it as a tool. Then you will receive a function call part in the response. from google.genai import types function = types.FunctionDeclaration( name='get_current_weather', description='Get the current weather in a given location', parameters_json_schema={ 'type': 'object', 'properties': { 'location': { 'type': 'string', 'description': 'The city and state, e.g.

With Gemini 2.0, we took the chance to create a single unified SDK for all developers who want to use Google's GenAI models (Gemini, Veo, Imagen, etc).

1 month ago - The following example shows how to declare a function and pass it as a tool. Then you will receive a function call part in the response. from google.genai import types function = types.FunctionDeclaration( name='get_current_weather', description='Get the current weather in a given location', parameters_json_schema={ 'type': 'object', 'properties': { 'location': { 'type': 'string', 'description': 'The city and state, e.g.

1 month ago - from google import genai # TODO(developer): Update below line API_KEY = "YOUR_API_KEY" client = genai.Client(vertexai=True, api_key=API_KEY) response = client.models.generate_content( model="gemini-3.5-flash", contents="Explain bubble sort to me.", ) print(response.text) # Example response: # Bubble Sort is a simple sorting algorithm that repeatedly steps through the list

Build Modular, Asynchronous, and Composable AI Pipelines for Generative AI. GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.

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 - The Google GenAI SDK is available for the Python, JavaScript/TypeScript, Go and Java languages.

May 21, 2026 - Weights & Biases, developer tools for machine learning

2 weeks ago - from google import genai client = genai.Client() interaction = client.interactions.create( agent="antigravity-preview-05-2026", input="Write a Python script that generates the first 20 Fibonacci numbers and saves them to fibonacci.txt.

Installation: Incorrect: pip install google-generativeai · Incorrect: pip install google-ai-generativelanguage · Correct: pip install google-genai · APIs and Usage: Incorrect: import google.generativeai as genai-> Correct: from google import ...

August 17, 2025 - If you want to use the SDK asynchronously, run pip install google-genai[aiohttp].

April 6, 2025 - Once the terminal is open, the following command should be executed: pip install google-genai.2 It is generally recommended to include the -U flag with this command, especially if the SDK might have been installed previously.

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...

April 28, 2026 - #pip install https://github.com/google-gemini/generative-ai-python@imagen import google.generativeai as genai imagen = genai.ImageGenerationModel( "imagen-3.0-generate-001") gen_images = imagen.generate_images( prompt="Robot holding a red skateboard", number_of_images=1, safety_filter_level="block_low_and_above", person_generation="allow_adult", aspect_ratio="3:4", ) After ·

July 11, 2024 - First, you need to install the necessary Python packages. Open your terminal or command prompt and run the following commands: pip install google-generativeai pip install python-dotenv

import types from google.genai import types as genai_types prompt = types.Prompt( prompt_data=types.PromptData( contents=[genai_types.Content(parts=[genai_types.Part(text="Hello, {name}! How are you?")])], system_instruction=genai_types.Content(parts=[genai_types.Part(text="Please answer in a short sentence.")]), variables=[ {"name": genai_types.Part(text="Alice")}, ], model="gemini-2.5-flash", ), )

If you’re opening this Notebook on colab, you will need to install LlamaIndex 🦙 and the google-genai Python SDK. %pip install llama-index-llms-google-genai llama-index

September 8, 2024 - Run the following command to install the required libraries. # Install Google Generative AI library !pip install -U google-generativeai # Import required libraries import google.generativeai as genai import os

July 11, 2025 - You can install it like any other Python library via pip: pip install genai-processors · Or, if you prefer the GitHub version: git clone https://github.com/google-gemini/genai-processors.git cd genai-processors pip install -e . This gives you ...

🌍 Supports all Jupyter environments, including IPython, JupyterLab, Jupyter Notebook, and Noteable. TL;DR Get started now · %pip install genai %load_ext genai · Blog Post · Example Notebook ·