Google AI Studio

import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai',
  apiKey: process.env.GEMINI_API_KEY
})

const response = await client.chat.completions.create({
  model: 'gemini-3.7-flash',
  messages: [{ role: 'user', content: 'Explain closures in one paragraph.' }]
})

console.log(response.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://generativelanguage.googleapis.com/v1beta/openai",
    api_key=os.environ["GEMINI_API_KEY"],
)

response = client.chat.completions.create(
    model="gemini-3.7-flash",
    messages=[{"role": "user", "content": "Explain closures in one paragraph."}],
)

print(response.choices[0].message.content)

curl https://generativelanguage.googleapis.com/v1beta/openai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GEMINI_API_KEY" \
  -d '{
    "model": "gemini-3.7-flash",
    "messages": [{"role": "user", "content": "Explain closures in one paragraph."}]
  }'

import { GoogleGenAI } from '@google/genai'

const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY })

const response = await ai.models.generateContent({
  model: 'gemini-3.7-flash',
  contents: 'Explain closures in one paragraph.'
})

console.log(response.text)

import os
from google import genai

client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])

response = client.models.generate_content(
    model="gemini-3.7-flash",
    contents="Explain closures in one paragraph.",
)

print(response.text)