Authorization: Bearer <API_KEY>

export AI2_BASE='https://gen.ai2.lxyi.top'
export AI2_API_KEY='替换为服务方分配的API_KEY'
curl --fail-with-body -sS \
  -H "Authorization: Bearer $AI2_API_KEY" \
  "$AI2_BASE/ui/api/account"

{
  "defaults": [{"kind": "image", "keyId": 1, "model": "实际模型ID", "proxyId": null}],
  "keys": [{"id": 1, "provider": "服务商ID", "providerName": "服务商名称", "name": "模型连接名称"}],
  "proxies": [{"id": 2, "name": "代理名称"}]
}

POST /ui/api/generation-jobs        → 202 {id, state, …}
GET  /ui/api/generation-jobs/{id}   （state 为 queued / running 时继续）
GET  /ui/api/history/{historyId}/image[?download=1]   （state=done 后）

GET /ui/api/history/{historyId}/image
GET /ui/api/history/{historyId}/image?download=1

export AI2_BASE='https://gen.ai2.lxyi.top'
export AI2_API_KEY='…'
export AI2_KEY_ID='从choices取得的编号'
export AI2_MODEL='从models取得的出图模型ID'
export AI2_REQUEST_ID="$(uuidgen)"   # 请保存；重试时使用同一个

curl --fail-with-body -sS \
  -H "Authorization: Bearer $AI2_API_KEY" \
  -H "X-Request-Id: $AI2_REQUEST_ID" \
  --form-string "keyId=$AI2_KEY_ID" \
  --form-string "model=$AI2_MODEL" \
  --form-string 'prompt=根据参考图生成商品主图，保持外形和颜色，白色背景。' \
  --form-string 'aspectRatio=1:1' \
  -F 'images[]=@product.jpg;type=image/jpeg' \
  "$AI2_BASE/ui/api/generation-jobs"

{
  "id": "生成任务UUID",
  "state": "queued",
  "error": null,
  "created": 1793300000000,
  "updated": 1793300000000,
  "cancel_requested": false
}

JOB_ID='上一步返回的id'
curl --fail-with-body -sS -H "Authorization: Bearer $AI2_API_KEY" \
  "$AI2_BASE/ui/api/generation-jobs/$JOB_ID"

# state=done 后：
HISTORY_ID='响应里的historyId'
curl --fail-with-body -sS -H "Authorization: Bearer $AI2_API_KEY" \
  "$AI2_BASE/ui/api/history/$HISTORY_ID/image?download=1" \
  -o generated.image

import os, time
from pathlib import Path
import requests

base = "https://gen.ai2.lxyi.top"
s = requests.Session()
s.headers["Authorization"] = "Bearer " + os.environ["AI2_API_KEY"]

def checked(r):
    r.raise_for_status()
    return r

with open("product.jpg", "rb") as image:
    job = checked(s.post(
        base + "/ui/api/generation-jobs",
        headers={"X-Request-Id": os.environ["AI2_REQUEST_ID"]},
        data={
            "keyId": os.environ["AI2_KEY_ID"],
            "model": os.environ["AI2_MODEL"],
            "prompt": "生成白底商品图，保持商品外形和颜色。",
            "aspectRatio": "1:1",
        },
        files=[("images[]", ("product.jpg", image, "image/jpeg"))],
        timeout=(15, 120),
    )).json()

print("任务编号：", job["id"], flush=True)
deadline = time.monotonic() + 900
while job["state"] in ("queued", "running"):
    if time.monotonic() >= deadline:
        raise TimeoutError("等待结束；保留任务编号稍后继续查询，勿自动重提")
    time.sleep(3)
    job = checked(s.get(
        base + "/ui/api/generation-jobs/" + job["id"], timeout=(15, 30)
    )).json()

if job["state"] != "done":
    raise RuntimeError(f"请人工核对，勿自动重新提交：{job}")

resp = checked(s.get(
    base + "/ui/api/history/" + job["historyId"] + "/image", timeout=(15, 120)
))
mime = resp.headers.get("Content-Type", "").split(";")[0].strip()
suffix = {"image/png": ".png", "image/jpeg": ".jpg"}.get(mime)
if not suffix:
    raise RuntimeError("下载不是预期图片：" + mime)
Path("generated" + suffix).write_bytes(resp.content)
print("已保存 generated" + suffix)

GET  /ui/api/prompt-templates          （可选，查看可用模板）
POST /ui/api/analyze                   → 200 {text, billing}
解析 text 得到方案 JSON
对方案中每一张图：
  POST /ui/api/generation-jobs         → 轮询 → 下载

GET /ui/api/prompt-templates

{
  "items": [
    {"id": "analyze-default", "kind": "analyze", "name": "默认商品分析"},
    {"id": "image-default", "kind": "image", "name": "默认出图"}
  ]
}

{
  "title": "陶瓷马克杯",
  "specifications": [],
  "requirements": "白底电商主图风",
  "outputOptions": {
    "platform": "拼多多",
    "aspectRatio": "1:1",
    "resolution": "1K",
    "copyLanguage": "简体中文"
  },
  "pictures": [
    {"id": "main", "type": "main", "name": "主图（首图）", "requirements": ""},
    {"id": "selling-1", "type": "selling", "name": "卖点图", "requirements": ""}
  ]
}

# 查看可用模板（执行机已开启模板接口时）
curl --fail-with-body -sS -H "Authorization: Bearer $AI2_API_KEY" \
  "$AI2_BASE/ui/api/prompt-templates"

INPUT_JSON='{
  "title": "陶瓷马克杯",
  "specifications": [],
  "requirements": "白底电商主图风",
  "outputOptions": {
    "platform": "拼多多",
    "aspectRatio": "1:1",
    "resolution": "1K",
    "copyLanguage": "简体中文"
  },
  "pictures": [
    {"id": "main", "type": "main", "name": "主图（首图）", "requirements": ""},
    {"id": "selling-1", "type": "selling", "name": "卖点图", "requirements": ""}
  ]
}'

curl --fail-with-body -sS \
  -H "Authorization: Bearer $AI2_API_KEY" \
  -H "X-Request-Id: $(uuidgen)" \
  --form-string "keyId=$AI2_TEXT_KEY_ID" \
  --form-string "model=$AI2_TEXT_MODEL" \
  --form-string "templateId=analyze-default" \
  --form-string "input=$INPUT_JSON" \
  -F 'images[]=@img1.jpg;type=image/jpeg;filename=img1.jpg' \
  "$AI2_BASE/ui/api/analyze"

curl --fail-with-body -sS \
  -H "Authorization: Bearer $AI2_API_KEY" \
  -H "X-Request-Id: $(uuidgen)" \
  --form-string "keyId=$AI2_TEXT_KEY_ID" \
  --form-string "model=$AI2_TEXT_MODEL" \
  --form-string "prompt=$(cat prompt.txt)" \
  -F 'images[]=@img1.jpg;type=image/jpeg' \
  "$AI2_BASE/ui/api/analyze"