# Set your model as an environment variable for easy switching
export EVOLINK_MODEL="gemini-2.5-flash-image"  # Current nano banana
# export EVOLINK_MODEL="gemini-2.5-flash-image-v2"  # Future nano banana 2

curl -X POST https://api.evolink.ai/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "'"${EVOLINK_MODEL}"'",
    "prompt": "Photorealistic portrait, soft rim light, shallow depth of field",
    "size": "1:1"
  }'

# Use the task ID from the previous response
curl https://api.evolink.ai/v1/tasks/{task_id} \
  -H "Authorization: Bearer YOUR_API_KEY"

const EVOLINK_MODEL = process.env.EVOLINK_MODEL || "gemini-2.5-flash-image";

// Submit generation task
const submitTask = async (prompt) => {
  const res = await fetch("https://api.evolink.ai/v1/images/generations", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.EVOLINK_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: EVOLINK_MODEL,
      prompt: prompt,
      size: "1:1"
    })
  });
  return await res.json();
};

// Check task status
const checkTask = async (taskId) => {
  const res = await fetch(`https://api.evolink.ai/v1/tasks/${taskId}`, {
    headers: {
      "Authorization": `Bearer ${process.env.EVOLINK_API_KEY}`
    }
  });
  return await res.json();
};

// Usage
const task = await submitTask("A futuristic cityscape at sunset");
console.log("Task ID:", task.id);

// Poll for completion
let result = await checkTask(task.id);
while (result.status !== "completed") {
  await new Promise(resolve => setTimeout(resolve, 2000));
  result = await checkTask(task.id);
}
console.log("Image URL:", result.result[0].url);

import os, json, requests, time

EVOLINK_MODEL = os.getenv("EVOLINK_MODEL", "gemini-2.5-flash-image")
API_KEY = os.getenv("EVOLINK_API_KEY")

# Submit task
response = requests.post(
  "https://api.evolink.ai/v1/images/generations",
  headers={
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
  },
  json={
    "model": EVOLINK_MODEL,
    "prompt": "Anime character with glowing weapons",
    "size": "16:9"
  }
)
task = response.json()
task_id = task["id"]

# Poll for completion
while True:
    status = requests.get(
        f"https://api.evolink.ai/v1/tasks/{task_id}",
        headers={"Authorization": f"Bearer {API_KEY}"}
    ).json()

    if status["status"] == "completed":
        print("Image URL:", status["result"][0]["url"])
        break
    elif status["status"] == "failed":
        print("Task failed:", status.get("error"))
        break

    time.sleep(2)