跳转到主要内容

Documentation Index

Fetch the complete documentation index at: https://docs.apigo.ai/llms.txt

Use this file to discover all available pages before exploring further.

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推荐 endpoint

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最小请求

{
  "model": "gpt-image-1",
  "prompt": "一张简洁的 ApiGo 产品海报",
  "size": "1024x1024",
  "n": 1
}

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cURL 示例

curl https://maas.apigo.ai/v1/images/generations \
  -H "Authorization: Bearer $YOUR API KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-1",
    "prompt": "一张简洁的 ApiGo 产品海报",
    "size": "1024x1024",
    "n": 1
  }'

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Python 示例

from openai import OpenAI

client = OpenAI(
    base_url="https://maas.apigo.ai/v1",
    api_key="<YOUR API KEY>",
)

response = client.images.generate(
    model="gpt-image-1",
    prompt="一张简洁的 ApiGo 产品海报",
    size="1024x1024",
)

print(response.data[0].url or response.data[0].b64_json[:80])

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Node.js 示例

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://maas.apigo.ai/v1",
  apiKey: process.env.YOUR API KEY,
});

const response = await client.images.generate({
  model: "gpt-image-1",
  prompt: "一张简洁的 ApiGo 产品海报",
  size: "1024x1024"
});

console.log(response.data[0].url ?? response.data[0].b64_json?.slice(0, 80));

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最佳实践

  • 文生图和图片编辑分开走不同 endpoint
  • 如果是多轮编辑，服务端保留原图 ID、临时 URL 或上一轮结果
  • 返回体可能是 URL 或 base64，统一转存层放到服务端