curl --request POST \
  --url https://api.4minds.ai/api/v1/user/model \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model_name": "<string>",
  "dataset_id": "<string>",
  "description": "<string>",
  "base_model_id": 123,
  "training_type_id": "<string>",
  "use_case_id": 123,
  "persona_id": 123
}
'

import requests

url = "https://api.4minds.ai/api/v1/user/model"

payload = {
    "model_name": "<string>",
    "dataset_id": "<string>",
    "description": "<string>",
    "base_model_id": 123,
    "training_type_id": "<string>",
    "use_case_id": 123,
    "persona_id": 123
}
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({
    model_name: '<string>',
    dataset_id: '<string>',
    description: '<string>',
    base_model_id: 123,
    training_type_id: '<string>',
    use_case_id: 123,
    persona_id: 123
  })
};

fetch('https://api.4minds.ai/api/v1/user/model', 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.4minds.ai/api/v1/user/model",
  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_name' => '<string>',
    'dataset_id' => '<string>',
    'description' => '<string>',
    'base_model_id' => 123,
    'training_type_id' => '<string>',
    'use_case_id' => 123,
    'persona_id' => 123
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "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.4minds.ai/api/v1/user/model"

	payload := strings.NewReader("{\n  \"model_name\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"description\": \"<string>\",\n  \"base_model_id\": 123,\n  \"training_type_id\": \"<string>\",\n  \"use_case_id\": 123,\n  \"persona_id\": 123\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))

}

HttpResponse<String> response = Unirest.post("https://api.4minds.ai/api/v1/user/model")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model_name\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"description\": \"<string>\",\n  \"base_model_id\": 123,\n  \"training_type_id\": \"<string>\",\n  \"use_case_id\": 123,\n  \"persona_id\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.4minds.ai/api/v1/user/model")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model_name\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"description\": \"<string>\",\n  \"base_model_id\": 123,\n  \"training_type_id\": \"<string>\",\n  \"use_case_id\": 123,\n  \"persona_id\": 123\n}"

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

{
  "status": "success",
  "data": {
    "id": 123,
    "name": "<string>",
    "description": "<string>",
    "category": "General",
    "size_numeric": 123,
    "base_model_name": "<string>",
    "trained_model_id": 123,
    "training_type_id": "<string>",
    "dataset_id": 123,
    "file_path": "",
    "base_model_id": 123,
    "personaId": 123,
    "use_case_id": null,
    "use_case_name": null,
    "use_case_label": null,
    "use_case_description": null,
    "use_case_custom": null,
    "onboarding_goal": null,
    "onboarding_role": null,
    "has_image": false,
    "trained_at": "2023-11-07T05:31:56Z",
    "status": "<string>",
    "graph_status": "<string>",
    "graph_build_progress": 123,
    "fine_tuning_status": false,
    "metrics": {
      "accuracy": 123,
      "loss": 123,
      "validationAccuracy": 123,
      "trainingTime": "<string>",
      "epochsCompleted": 123,
      "parametersOptimized": "<string>"
    },
    "dataset_info": {
      "name": "<string>",
      "size": 123,
      "samples": 123,
      "data_type": "<string>",
      "updated_at": "2023-11-07T05:31:56Z"
    },
    "external_model_id": null,
    "external_provider_type": null,
    "external_model_capabilities": null,
    "fine_tune": "<string>",
    "token_speed": 0,
    "response_time": 0,
    "success_rate": 100,
    "is_private": true,
    "shared_with_organization": true,
    "team_ids": [
      "<unknown>"
    ],
    "team_names": [
      "<unknown>"
    ],
    "owner_email": "<string>",
    "is_shared": false,
    "organization_name": "<string>",
    "shared_user_count": 0,
    "dataset_sharing_status": null,
    "pending_dataset_access_requests": 0,
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z"
  }
}

{
  "status": "error",
  "message": "<string>"
}

{
  "status": "error",
  "message": "<string>"
}

{
  "status": "error",
  "message": "<string>"
}

{
  "status": "error",
  "message": "<string>"
}

{
  "status": "error",
  "message": "<string>"
}

{
  "status": "error",
  "message": "<string>"
}