curl --request POST \
  --url https://api.savegate.ai/v1/chat/completions \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "messages": [
    {}
  ],
  "temperature": 123,
  "max_tokens": 123,
  "stream": true,
  "top_p": 123,
  "frequency_penalty": 123,
  "presence_penalty": 123,
  "stop": {},
  "functions": [
    {}
  ],
  "function_call": {}
}
'

import requests

url = "https://api.savegate.ai/v1/chat/completions"

payload = {
    "model": "<string>",
    "messages": [{}],
    "temperature": 123,
    "max_tokens": 123,
    "stream": True,
    "top_p": 123,
    "frequency_penalty": 123,
    "presence_penalty": 123,
    "stop": {},
    "functions": [{}],
    "function_call": {}
}
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: '<string>',
    messages: [{}],
    temperature: 123,
    max_tokens: 123,
    stream: true,
    top_p: 123,
    frequency_penalty: 123,
    presence_penalty: 123,
    stop: {},
    functions: [{}],
    function_call: {}
  })
};

fetch('https://api.savegate.ai/v1/chat/completions', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.savegate.ai/v1/chat/completions",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => '<string>',
    'messages' => [
        [
                
        ]
    ],
    'temperature' => 123,
    'max_tokens' => 123,
    'stream' => true,
    'top_p' => 123,
    'frequency_penalty' => 123,
    'presence_penalty' => 123,
    'stop' => [
        
    ],
    'functions' => [
        [
                
        ]
    ],
    'function_call' => [
        
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.savegate.ai/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"max_tokens\": 123,\n  \"stream\": true,\n  \"top_p\": 123,\n  \"frequency_penalty\": 123,\n  \"presence_penalty\": 123,\n  \"stop\": {},\n  \"functions\": [\n    {}\n  ],\n  \"function_call\": {}\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.savegate.ai/v1/chat/completions")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"max_tokens\": 123,\n  \"stream\": true,\n  \"top_p\": 123,\n  \"frequency_penalty\": 123,\n  \"presence_penalty\": 123,\n  \"stop\": {},\n  \"functions\": [\n    {}\n  ],\n  \"function_call\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.savegate.ai/v1/chat/completions")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"max_tokens\": 123,\n  \"stream\": true,\n  \"top_p\": 123,\n  \"frequency_penalty\": 123,\n  \"presence_penalty\": 123,\n  \"stop\": {},\n  \"functions\": [\n    {}\n  ],\n  \"function_call\": {}\n}"

response = http.request(request)
puts response.read_body

{
  "id": "<string>",
  "object": "<string>",
  "created": 123,
  "model": "<string>",
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "<string>",
        "content": "<string>",
        "function_call": {}
      },
      "finish_reason": "<string>"
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123
  }
}