创建嵌入
▼
Authorization
在 Header 添加参数 Authorization，其值为 Bearer 之后拼接 Token
示例：
Authorization: Bearer ********************
请求参数
Header 参数
Content-Type
string
必需
示例: application/json
Authorization
string
必需
示例: Bearer $OPENAI_API_KEY
Body 参数 application/json
model
string
必需
要使用的模型的 ID，如 text-embedding-3-large。
input
string
必需
输入文本以获取嵌入，编码为字符串或标记数组。每个输入的长度不得超过 8192 个标记。
示例
{
"model": "text-embedding-3-large",
"input": "喵喵喵喵喵喵喵喵喵喵喵喵喵喵喵"
}请求示例代码
curl --location --request POST 'https://api.quickrouter.ai/v1/embeddings' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "text-embedding-3-large",
"input": "喵喵喵喵喵喵喵喵喵喵喵喵喵喵喵"
}'var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer <token>");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"model": "text-embedding-3-large",
"input": "喵喵喵喵喵喵喵喵喵喵喵喵喵喵喵"
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.quickrouter.ai/v1/embeddings", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));import http.client
import json
conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
"model": "text-embedding-3-large",
"input": "喵喵喵喵喵喵喵喵喵喵喵喵喵喵喵"
})
headers = {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json'
}
conn.request("POST", "/v1/embeddings", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))返回响应
响应参数 🟢 200 OK · application/json
object
string
必需
data
array [object]
必需
model
string
必需
usage
object
必需
示例
{
"object": "list",
"data": [
{
"object": "embedding",
"embedding": [
0.0023064255,
-0.009327292,
-0.0028842222
],
"index": 0
}
],
"model": "text-embedding-ada-002",
"usage": {
"prompt_tokens": 8,
"total_tokens": 8
}
}