curl --request POST \
  --url https://mavi-backend.memories.ai/serve/api/v2/vu/chat/completions \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gemini:gemini-2.5-flash",
  "messages": [
    {
      "content": "<string>"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1000,
  "top_p": 1,
  "frequency_penalty": 0,
  "presence_penalty": 0,
  "n": 1,
  "stream": false,
  "stop": "<string>",
  "extra_body": {
    "metadata": {
      "thinking_config": {
        "thinking_budget": 123
      },
      "responseSchema": {
        "type": "OBJECT",
        "properties": {},
        "required": [
          "<string>"
        ]
      }
    }
  }
}
'

import requests

url = "https://mavi-backend.memories.ai/serve/api/v2/vu/chat/completions"

payload = {
    "model": "gemini:gemini-2.5-flash",
    "messages": [{ "content": "<string>" }],
    "temperature": 0.7,
    "max_tokens": 1000,
    "top_p": 1,
    "frequency_penalty": 0,
    "presence_penalty": 0,
    "n": 1,
    "stream": False,
    "stop": "<string>",
    "extra_body": { "metadata": {
            "thinking_config": { "thinking_budget": 123 },
            "responseSchema": {
                "type": "OBJECT",
                "properties": {},
                "required": ["<string>"]
            }
        } }
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gemini:gemini-2.5-flash',
    messages: [{content: '<string>'}],
    temperature: 0.7,
    max_tokens: 1000,
    top_p: 1,
    frequency_penalty: 0,
    presence_penalty: 0,
    n: 1,
    stream: false,
    stop: '<string>',
    extra_body: {
      metadata: {
        thinking_config: {thinking_budget: 123},
        responseSchema: {type: 'OBJECT', properties: {}, required: ['<string>']}
      }
    }
  })
};

fetch('https://mavi-backend.memories.ai/serve/api/v2/vu/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://mavi-backend.memories.ai/serve/api/v2/vu/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' => 'gemini:gemini-2.5-flash',
    'messages' => [
        [
                'content' => '<string>'
        ]
    ],
    'temperature' => 0.7,
    'max_tokens' => 1000,
    'top_p' => 1,
    'frequency_penalty' => 0,
    'presence_penalty' => 0,
    'n' => 1,
    'stream' => false,
    'stop' => '<string>',
    'extra_body' => [
        'metadata' => [
                'thinking_config' => [
                                'thinking_budget' => 123
                ],
                'responseSchema' => [
                                'type' => 'OBJECT',
                                'properties' => [
                                                                
                                ],
                                'required' => [
                                                                '<string>'
                                ]
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "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://mavi-backend.memories.ai/serve/api/v2/vu/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"gemini:gemini-2.5-flash\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"temperature\": 0.7,\n  \"max_tokens\": 1000,\n  \"top_p\": 1,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"n\": 1,\n  \"stream\": false,\n  \"stop\": \"<string>\",\n  \"extra_body\": {\n    \"metadata\": {\n      \"thinking_config\": {\n        \"thinking_budget\": 123\n      },\n      \"responseSchema\": {\n        \"type\": \"OBJECT\",\n        \"properties\": {},\n        \"required\": [\n          \"<string>\"\n        ]\n      }\n    }\n  }\n}")

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

	req.Header.Add("Authorization", "<api-key>")
	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://mavi-backend.memories.ai/serve/api/v2/vu/chat/completions")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gemini:gemini-2.5-flash\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"temperature\": 0.7,\n  \"max_tokens\": 1000,\n  \"top_p\": 1,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"n\": 1,\n  \"stream\": false,\n  \"stop\": \"<string>\",\n  \"extra_body\": {\n    \"metadata\": {\n      \"thinking_config\": {\n        \"thinking_budget\": 123\n      },\n      \"responseSchema\": {\n        \"type\": \"OBJECT\",\n        \"properties\": {},\n        \"required\": [\n          \"<string>\"\n        ]\n      }\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://mavi-backend.memories.ai/serve/api/v2/vu/chat/completions")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"gemini:gemini-2.5-flash\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"temperature\": 0.7,\n  \"max_tokens\": 1000,\n  \"top_p\": 1,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"n\": 1,\n  \"stream\": false,\n  \"stop\": \"<string>\",\n  \"extra_body\": {\n    \"metadata\": {\n      \"thinking_config\": {\n        \"thinking_budget\": 123\n      },\n      \"responseSchema\": {\n        \"type\": \"OBJECT\",\n        \"properties\": {},\n        \"required\": [\n          \"<string>\"\n        ]\n      }\n    }\n  }\n}"

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