dokumentacija
API

Images

Markdown

Generiranje in urejanje slik v formatu OpenAI Images.

Celoten vodnik
POSThttps://api.ailoot.ai/v1/images/generations
Images
curl https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.5",
    "prompt": "Akvarelna risba: svetilnik na pečini, zora",
    "size": "1024x1024"
  }' 
200 OK
{
  "created": 1790812800,
  "data": [
    { "url": "https://…/content" }
  ],
  "usage": { "input_tokens": 18, "output_tokens": 1056 }
}

Avtentikacija

  • Authorizationheaderobvezno

    Ključ v obliki Bearer sk-…. Uporabite lahko tudi glavi x-api-key ali x-goog-api-key.

Telo zahteve

  • modelstringobvezno

    Slikovni model: gpt-image-2.5-sunburst, gemini-3.1-flash-image, grok-imagine-image-2.0, qwen-image-3.0-pro, image-01, gpt-image-2, gemini-3.1-flash-lite-image, grok-imagine-image, wan2.7-image, gpt-image-2.5-sunburst-2026-09-08, gemini-3-pro-image, grok-imagine-image-quality in še 4.

  • promptstringobvezno

    Opis slike.

  • nintegerneobvezno

    Število slik za generiranje. Plača se vsaka dokončana slika.

  • sizestringneobvezno

    Velikost, na primer 1024x1024. Dovoljene velikosti so odvisne od modela.

  • qualitystringneobvezno

    Kakovost, če jo model podpira (na primer, low, medium, high).

  • response_formatstringneobvezno

    url ali b64_json – če model omogoča izbiro.

Urejanje

POSThttps://api.ailoot.ai/v1/images/edits

Zahteva multipart/form-data: polje image (ena ali več slik), prompt, model, po potrebi mask.

Odgovor

  • data[]array

    Dokončane slike: povezava url ali podatki b64_json, odvisno od modela.

Urejanje · multipart/form-data

: "${AILOOT_IMAGE_EDIT_MODEL:?Select a model whose actual card or GET /v1/models method supports /v1/images/edits}"
curl --fail-with-body --max-time 300 \
  -D image-edit-headers.txt -o image-edit.json \
  https://api.ailoot.ai/v1/images/edits \
  -H "Authorization: Bearer $AILOOT_API_KEY" \
  -F "model=$AILOOT_IMAGE_EDIT_MODEL" \
  -F 'prompt=Keep the subject and replace the background with a sunset' \
  -F 'image=@input.png'

input.png → image-edit.json → data[] → url | b64_json

import base64
import json
import mimetypes
import os
from pathlib import Path
import time
from urllib.parse import urljoin, urlsplit
from urllib.request import Request, urlopen

origin = "https://api.ailoot.ai"
out = Path("image-edit-results")
out.mkdir(exist_ok=True)

def save_all(data):
    rows = data.get("data", [])
    if not rows:
        raise RuntimeError("No completed image data; keep the original response")
    for index, row in enumerate(rows, 1):
        if row.get("b64_json"):
            content = base64.b64decode(row["b64_json"], validate=True)
            suffix = ".png" if content.startswith(b"\x89PNG") else ".bin"
        elif row.get("url"):
            url = row["url"]
            if urlsplit(url).scheme != "https":
                raise ValueError("Expected the exact returned HTTPS image URL")
            # Signed result URLs are downloaded without sending the API key to another host.
            with urlopen(url, timeout=300) as response:
                content = response.read()
                suffix = mimetypes.guess_extension(response.headers.get_content_type()) or ".bin"
        else:
            raise RuntimeError("Image has neither url nor b64_json")
        (out / ("image-%03d" % index + suffix)).write_bytes(content)


with open("image-edit.json", encoding="utf-8") as response:
    save_all(json.load(response))

Images · async

SDK-ji OpenAI in Anthropic običajno samodejno ponovijo zahteve pri omrežnih napakah in 5xx. Pri generiranju to izklopite (max_retries=0) in preverite X-Should-Retry pred novim poskusom. Izgubljen odgovor ne pomeni, da zahteva ni bila izvedena.

import base64
import json
import mimetypes
import os
from pathlib import Path
import time
from urllib.parse import urljoin, urlsplit
from urllib.request import Request, urlopen

origin = "https://api.ailoot.ai"
key = os.environ["AILOOT_API_KEY"]
out = Path("image-results")
out.mkdir(exist_ok=True)

def api(url, payload=None):
    url = urljoin(origin, url)
    if urlsplit(url).scheme != "https" or urlsplit(url).netloc != "api.ailoot.ai":
        raise ValueError("Unexpected API origin")
    request = Request(url, data=None if payload is None else json.dumps(payload).encode(),
                      headers={"Authorization": "Bearer " + key, "Content-Type": "application/json"})
    with urlopen(request, timeout=300) as response:
        headers = dict(response.headers)
        data = json.load(response)
    (out / "response-headers.json").write_text(json.dumps(headers, indent=2))
    return data, headers

def save_all(data):
    rows = data.get("data", [])
    if not rows:
        raise RuntimeError("No completed image data; keep the original response")
    for index, row in enumerate(rows, 1):
        if row.get("b64_json"):
            content = base64.b64decode(row["b64_json"], validate=True)
            suffix = ".png" if content.startswith(b"\x89PNG") else ".bin"
        elif row.get("url"):
            url = row["url"]
            if urlsplit(url).scheme != "https":
                raise ValueError("Expected the exact returned HTTPS image URL")
            # Signed result URLs are downloaded without sending the API key to another host.
            with urlopen(url, timeout=300) as response:
                content = response.read()
                suffix = mimetypes.guess_extension(response.headers.get_content_type()) or ".bin"
        else:
            raise RuntimeError("Image has neither url nor b64_json")
        (out / ("image-%03d" % index + suffix)).write_bytes(content)

# One POST. If its result is unknown, preserve it and check history; do not rerun creation.
task, headers = api("/v1/images/generations/async", {
    "model": "gpt-image-2.5", "prompt": "Watercolor lighthouse at dawn", "size": "1024x1024"})
(out / "created-task.json").write_text(json.dumps(task, indent=2))
task_id = task.get("task_id") or task.get("id")
poll_url = task.get("poll_url") or headers.get("Location") or headers.get("location")
if not task_id or not poll_url:
    raise RuntimeError("Keep the create response and Request ID; do not submit again")

for poll in range(60):
    task, headers = api(poll_url)  # Read the original task with the same key.
    (out / "task-status.json").write_text(json.dumps(task, indent=2))
    if task.get("status") == "completed":
        result = task["result"]
        (out / "image-response.json").write_text(json.dumps(result, indent=2))
        save_all(result)
        break
    if task.get("status") == "failed":
        raise RuntimeError(json.dumps(task.get("error")))
    if task.get("status") != "processing" or task.get("result_pending_check"):
        raise RuntimeError("Keep the original task ID and check it later; no new POST")
    time.sleep(min(60, max(1, int(headers.get("Retry-After", headers.get("retry-after", "3"))))))
else:
    raise TimeoutError("Polling stopped; resume GET reads using created-task.json, never repeat POST")
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