curl --request POST \
  --url https://api.maxapi.ai/v1/embeddings \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "text-embedding-ada-002",
  "input": "The food was delicious and the waiter..."
}
'

import requests

url = "https://api.maxapi.ai/v1/embeddings"

payload = {
    "model": "text-embedding-ada-002",
    "input": "The food was delicious and the waiter..."
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'text-embedding-ada-002',
    input: 'The food was delicious and the waiter...'
  })
};

fetch('https://api.maxapi.ai/v1/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://api.maxapi.ai/v1/embeddings"

	payload := strings.NewReader("{\n  \"model\": \"text-embedding-ada-002\",\n  \"input\": \"The food was delicious and the waiter...\"\n}")

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

	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))

}

HttpResponse<String> response = Unirest.post("https://api.maxapi.ai/v1/embeddings")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"text-embedding-ada-002\",\n  \"input\": \"The food was delicious and the waiter...\"\n}")
  .asString();

"{\n  \"object\": \"list\",\n  \"data\": [\n    {\n      \"object\": \"embedding\",\n      \"embedding\": [\n        0.0023064255,\n        -0.009327292,\n        .... (1536 floats total for ada-002)\n        -0.0028842222\n      ],\n      \"index\": 0\n    }\n  ],\n  \"model\": \"text-embedding-ada-002\",\n  \"usage\": {\n    \"prompt_tokens\": 8,\n    \"total_tokens\": 8\n  }\n}"