推荐 endpoint
最小请求
{
"model": "gpt-4.1",
"input": [
{
"role": "user",
"content": [
{ "type": "input_text", "text": "描述这张图里的界面结构。" },
{ "type": "input_image", "image_url": "https://example.com/ui.png" }
]
}
]
}
cURL 示例
curl https://mass.apigo.ai/v1/responses \
-H "Authorization: Bearer $TIDEMIND_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4.1",
"input": [
{
"role": "user",
"content": [
{ "type": "input_text", "text": "描述这张图里的界面结构。" },
{ "type": "input_image", "image_url": "https://example.com/ui.png" }
]
}
]
}'
Python 示例
from openai import OpenAI
client = OpenAI(
base_url="https://mass.apigo.ai/v1",
api_key="<TIDEMIND_API_KEY>",
)
response = client.responses.create(
model="gpt-4.1",
input=[
{
"role": "user",
"content": [
{"type": "input_text", "text": "描述这张图里的界面结构。"},
{"type": "input_image", "image_url": "https://example.com/ui.png"},
],
}
],
)
print(response.output_text)
Node.js 示例
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://mass.apigo.ai/v1",
apiKey: process.env.TIDEMIND_API_KEY,
});
const response = await client.responses.create({
model: "gpt-4.1",
input: [
{
role: "user",
content: [
{ type: "input_text", text: "描述这张图里的界面结构。" },
{ type: "input_image", image_url: "https://example.com/ui.png" }
]
}
]
});
console.log(response.output_text);
最佳实践
- 图片可以走 URL、base64 或 file ID,复用素材优先 file ID
- 多张图片时在服务端统一排序,不要依赖前端隐式顺序
- 大图和 OCR 场景单独评估 token 成本
