from openai import OpenAI

client = OpenAI(
    api_key="sk-your-key",
    base_url="https://api.aicoming.top/v1",
)

response = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "你好"}],
)
print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.AICOMING_API_KEY,
  baseURL: 'https://api.aicoming.top/v1',
});

const completion = await client.chat.completions.create({
  model: 'gpt-5.5',
  messages: [{ role: 'user', content: 'Hello' }],
});
console.log(completion.choices[0].message.content);

curl https://api.aicoming.top/v1/chat/completions \
  -H "Authorization: Bearer sk-your-key" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-5.5","messages":[{"role":"user","content":"你好"}]}'

stream = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "写一首诗"}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

const stream = await client.chat.completions.create({
  model: 'gpt-5.5',
  messages: [{ role: 'user', content: '写一首诗' }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
}

import base64

resp = client.images.generate(
    model="gpt-image-2",
    prompt="赛博朋克城市夜景，霓虹灯倒映在街道",
    size="1792x1024",   # → 2k 档
    quality="low",
    n=1,
)
with open("out.png", "wb") as f:
    f.write(base64.b64decode(resp.data[0].b64_json))

# extra_body 传 image 字段，平台自动走图生图
resp = client.images.generate(
    model="gpt-image-2",
    prompt="把服装换成居家服",
    size="1792x1024",
    quality="low",
    n=1,
    extra_body={
        "image": [
            "https://example.com/ref1.jpg",
            "https://example.com/ref2.jpg",
        ]
    },
)

curl https://api.aicoming.top/v1/images/generations \
  -H "Authorization: Bearer sk-your-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "把背景换成海滩",
    "image": ["https://example.com/photo.jpg"],
    "size": "1024x1024",
    "quality": "low", "n": 1
  }'

import requests, base64

resp = requests.post(
    "https://api.aicoming.top/v1/images/generations",
    headers={"Authorization": "Bearer sk-your-key"},
    json={"model": "nano-banana-pro",
          "prompt": "一只橘猫坐在木桌上，柔和窗光，写实风格",
          "return_url": True, "n": 1},
    timeout=180,            # 单张约 60~85s
)
item = resp.json()["data"][0]
raw = requests.get(item["url"]).content if item.get("url") else base64.b64decode(item["b64_json"])
open("out.png", "wb").write(raw)

curl https://api.aicoming.top/v1/images/generations \
  -H "Authorization: Bearer sk-your-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nano-banana-pro",
    "prompt": "保持人物和服装不变，背景换成樱花日式街道",
    "image": "https://example.com/ref.jpg",
    "return_url": true,
    "n": 1
  }'

curl https://api.aicoming.top/v1/responses \
  -H "Authorization: Bearer sk-your-key" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-5.5","input":"用 Python 写快排","stream":false}'

OPENAI_BASE_URL=https://api.aicoming.top/v1
OPENAI_API_KEY=sk-your-key

export ANTHROPIC_BASE_URL=https://api.aicoming.top
export ANTHROPIC_API_KEY=sk-your-key

Settings → Models → OpenAI API Key
  API Key:  sk-your-key
  Base URL: https://api.aicoming.top/v1
  Override OpenAI Base URL: ✅

设置 → 模型提供商 → 添加自定义提供商
  名称: AIComing  API 地址: https://api.aicoming.top
  API Key: sk-your-key  路径前缀: /v1

设置 → 翻译服务 → OpenAI
  API URL: https://api.aicoming.top/v1/chat/completions
  API Key: sk-your-key  模型: gpt-5.5