Gemini 4 Carbon API

npm install @picsart/ai-sdk

pip install picsart-ai-sdk

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY, // sent as: Authorization: Bearer <key>
  apiUrl: 'https://api.picsart.com',
});

import os

from picsart_ai_sdk import create_client

ai = create_client(
    api_key=os.environ["PICSART_API_KEY"],  # sent as: Authorization: Bearer <key>
    api_url="https://api.picsart.com",
)

Authorization: Bearer <PICSART_API_KEY>

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

const { text } = await ai.generateText('gemini-4-carbon', {
  prompt: "A serene mountain lake at golden hour, ultra detailed"
});

console.log(text);

import asyncio
import os

from picsart_ai_sdk import create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        res = await ai.generate_text("gemini-4-carbon", {
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
        })

        print(res.text)


asyncio.run(main())

curl -X POST 'https://api.picsart.com/workflows/v1/models/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model": "gemini-4-carbon",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed"
    }
  }
}'

{
  "text": "…generated text…",
  "model": "gemini-4-carbon"
}

{
  "status": "success",
  "response": {
    "id": "task_abc123",
    "status": "COMPLETED",
    "result": {
      "text": "…generated text…",
      "model": "gemini-4-carbon"
    }
  }
}

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["PICSART_API_KEY"],
    base_url="https://api.picsart.com/llm-proxy/openai/v1",
)

completion = client.chat.completions.create(
    model="gemini-4-carbon",
    messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)

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

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.PICSART_API_KEY,
  baseURL: 'https://api.picsart.com/llm-proxy/openai/v1',
});

const completion = await client.chat.completions.create({
  model: 'gemini-4-carbon',
  messages: [{ role: 'user', content: 'Write a haiku about the ocean.' }],
});

console.log(completion.choices[0].message.content);

curl -X POST 'https://api.picsart.com/llm-proxy/openai/v1/chat/completions' \
  -H "Authorization: Bearer $PICSART_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gemini-4-carbon",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
from google import genai
from google.genai import types

client = genai.Client(
    api_key="unused",  # the SDK requires one; your Picsart key goes in the header below
    http_options=types.HttpOptions(
        base_url="https://api.picsart.com/llm-proxy/gemini",
        headers={"Authorization": f"Bearer {os.environ['PICSART_API_KEY']}"},
    ),
)

response = client.models.generate_content(
    model="gemini-4-carbon",
    contents="Write a haiku about the ocean.",
)

print(response.text)

import { GoogleGenAI } from '@google/genai';

const ai = new GoogleGenAI({
  apiKey: 'unused', // the SDK requires one; your Picsart key goes in the header below
  httpOptions: {
    baseUrl: 'https://api.picsart.com/llm-proxy/gemini',
    headers: { Authorization: `Bearer ${process.env.PICSART_API_KEY}` },
  },
});

const response = await ai.models.generateContent({
  model: 'gemini-4-carbon',
  contents: 'Write a haiku about the ocean.',
});

console.log(response.text);

curl -X POST 'https://api.picsart.com/llm-proxy/gemini/v1beta/models/gemini-4-carbon:generateContent' \
  -H "Authorization: Bearer $PICSART_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "Write a haiku about the ocean."
        }
      ]
    }
  ]
}'