curl --request POST \
  --url https://kaienapi.com/v1/engines/{model}/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "input": "需要向量化的文本"
}
'

import requests

url = "https://kaienapi.com/v1/engines/{model}/embeddings"

payload = { "input": "需要向量化的文本" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({input: '需要向量化的文本'})
};

fetch('https://kaienapi.com/v1/engines/{model}/embeddings', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://kaienapi.com/v1/engines/{model}/embeddings"

	payload := strings.NewReader("{\n  \"input\": \"需要向量化的文本\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "object": "list",
  "data": [
    {}
  ],
  "model": "<string>",
  "usage": {}
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "code": "<string>"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "code": "<string>"
  }
}