Gemini API | Google AI for Developers
from google import genai client = genai.Client(api_key="YOUR_API_KEY") response = client.models.generate_content( model="gemini-2.0-flash", contents="Explain how AI works", ) print(response.text) Node.js import { GoogleGenAI } from "@google/genai"; const ai = new GoogleGenAI({ apiKey: "YOUR_API_KEY" }); async function main() { const response = await ai.models.generateContent({ model: "gemini-2.0-f
Code Interpreter API
Editor's Note: This is another installation of our guest blog posts highlighting interesting and novel use cases. This blog is written by Shroominic who built an open source implementation of the ChatGPT Code Interpreter. Important Links: GitHub RepoIn the world of open-source software, there are always exciting developments. Today, I am thrilled to announce a new project that I have been working
Gemini Developer API | Gemma open models | Google AI for Developers
Models More Solutions More Code assistance More Showcase More Community More Gemini About Docs API reference Pricing Gemma About Docs Build with Gemini Gemini API Google AI Studio Customize Gemma open models Gemma open models Multi-framework with Keras Fine-tune in Colab Run on-device Google AI Edge Gemini Nano on Android Chrome built-in web APIs Build responsibly Responsible GenAI Toolkit Secure
Introducing ChatGPT and Whisper APIs
Developers can now integrate ChatGPT and Whisper models into their apps and products through our API. ChatGPT and Whisper models are now available on our API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities. Through a series of system-wide optimizations, we’ve achieved 90% cost reduction for ChatGPT since December; we’re now passing through those
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