OpenAI Decisions

curl --request POST \
  --url https://api.linkmodel.ai/v1/decisions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-6-luna",
  "input": "I was charged twice for my order.",
  "questions": [
    {
      "type": "choice",
      "name": "department",
      "instructions": "Which department should handle this request?",
      "choices": [
        {
          "value": "billing",
          "description": "Payments, invoices, and refunds."
        },
        {
          "value": "support",
          "description": "Other product or account questions."
        }
      ]
    }
  ]
}
'

import requests

url = "https://api.linkmodel.ai/v1/decisions"

payload = {
    "model": "gpt-6-luna",
    "input": "I was charged twice for my order.",
    "questions": [
        {
            "type": "choice",
            "name": "department",
            "instructions": "Which department should handle this request?",
            "choices": [
                {
                    "value": "billing",
                    "description": "Payments, invoices, and refunds."
                },
                {
                    "value": "support",
                    "description": "Other product or account questions."
                }
            ]
        }
    ]
}
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: 'gpt-6-luna',
    input: 'I was charged twice for my order.',
    questions: [
      {
        type: 'choice',
        name: 'department',
        instructions: 'Which department should handle this request?',
        choices: [
          {value: 'billing', description: 'Payments, invoices, and refunds.'},
          {value: 'support', description: 'Other product or account questions.'}
        ]
      }
    ]
  })
};

fetch('https://api.linkmodel.ai/v1/decisions', 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.linkmodel.ai/v1/decisions",
  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' => 'gpt-6-luna',
    'input' => 'I was charged twice for my order.',
    'questions' => [
        [
                'type' => 'choice',
                'name' => 'department',
                'instructions' => 'Which department should handle this request?',
                'choices' => [
                                [
                                                                'value' => 'billing',
                                                                'description' => 'Payments, invoices, and refunds.'
                                ],
                                [
                                                                'value' => 'support',
                                                                'description' => 'Other product or account questions.'
                                ]
                ]
        ]
    ]
  ]),
  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.linkmodel.ai/v1/decisions"

	payload := strings.NewReader("{\n  \"model\": \"gpt-6-luna\",\n  \"input\": \"I was charged twice for my order.\",\n  \"questions\": [\n    {\n      \"type\": \"choice\",\n      \"name\": \"department\",\n      \"instructions\": \"Which department should handle this request?\",\n      \"choices\": [\n        {\n          \"value\": \"billing\",\n          \"description\": \"Payments, invoices, and refunds.\"\n        },\n        {\n          \"value\": \"support\",\n          \"description\": \"Other product or account questions.\"\n        }\n      ]\n    }\n  ]\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.linkmodel.ai/v1/decisions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-6-luna\",\n  \"input\": \"I was charged twice for my order.\",\n  \"questions\": [\n    {\n      \"type\": \"choice\",\n      \"name\": \"department\",\n      \"instructions\": \"Which department should handle this request?\",\n      \"choices\": [\n        {\n          \"value\": \"billing\",\n          \"description\": \"Payments, invoices, and refunds.\"\n        },\n        {\n          \"value\": \"support\",\n          \"description\": \"Other product or account questions.\"\n        }\n      ]\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.linkmodel.ai/v1/decisions")

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\": \"gpt-6-luna\",\n  \"input\": \"I was charged twice for my order.\",\n  \"questions\": [\n    {\n      \"type\": \"choice\",\n      \"name\": \"department\",\n      \"instructions\": \"Which department should handle this request?\",\n      \"choices\": [\n        {\n          \"value\": \"billing\",\n          \"description\": \"Payments, invoices, and refunds.\"\n        },\n        {\n          \"value\": \"support\",\n          \"description\": \"Other product or account questions.\"\n        }\n      ]\n    }\n  ]\n}"

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

{
  "model": "gpt-6-luna",
  "answers": [
    {
      "type": "choice",
      "name": "department",
      "choice": "billing",
      "confidence": 0.98,
      "probabilities": [
        {
          "value": "billing",
          "probability": 0.98
        },
        {
          "value": "support",
          "probability": 0.02
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 60,
    "input_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 0
    },
    "output_tokens": 0,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 60
  }
}

{
  "code": 400,
  "msg": "model is required",
  "request_id": "<string>"
}

{
  "code": 401,
  "msg": "unauthorized",
  "request_id": "<string>"
}

{
  "code": 500,
  "msg": "<string>",
  "request_id": "<string>"
}