GPT Image 2.5

npx -y summer-engine@latest api run image/gpt-image-2.5 \
  --input '{"prompt":"a cozy pixel-art tavern at night, warm window light","aspectRatio":"16:9"}' \
  --download .

curl https://www.summerengine.com/v1/jobs \
  -H "Authorization: Bearer $SUMMER_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -H "Prefer: wait=60" \
  -d '{"model":"image/gpt-image-2.5","input":{"prompt":"a cozy pixel-art tavern at night, warm window light","aspectRatio":"16:9"}}'

const res = await fetch("https://www.summerengine.com/v1/jobs", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.SUMMER_TOKEN}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
    Prefer: "wait=60",
  },
  body: JSON.stringify({
    "model": "image/gpt-image-2.5",
    "input": {
      "prompt": "a cozy pixel-art tavern at night, warm window light",
      "aspectRatio": "16:9"
    }
  }),
});
const { job } = await res.json();
console.log(job.state, job.id);

import os, uuid, requests

res = requests.post(
    "https://www.summerengine.com/v1/jobs",
    headers={
        "Authorization": f"Bearer {os.environ['SUMMER_TOKEN']}",
        "Idempotency-Key": str(uuid.uuid4()),
        "Prefer": "wait=60",
    },
    json={"model": "image/gpt-image-2.5", "input": {"prompt": "a cozy pixel-art tavern at night, warm window light", "aspectRatio": "16:9"}},
)
job = res.json()["job"]
print(job["state"], job["id"])

// Summer's MCP server: npx -y summer-engine@latest setup <agent> --yes
summer_api_run({
  model: "image/gpt-image-2.5",
  input: {
    prompt: "a cozy pixel-art tavern at night, warm window light",
    aspectRatio: "16:9"
  },
  out: "assets",
})