Skip to main content
GET
/
user
/
assistants
/
models
Get available models
curl --request GET \
  --url https://app.botrep.ai/api/user/assistants/models \
  --header 'Authorization: Bearer <token>'
import requests

url = "https://app.botrep.ai/api/user/assistants/models"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)
const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://app.botrep.ai/api/user/assistants/models', 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://app.botrep.ai/api/user/assistants/models",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>"
],
]);

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

curl_close($curl);

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

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

func main() {

url := "https://app.botrep.ai/api/user/assistants/models"

req, _ := http.NewRequest("GET", url, nil)

req.Header.Add("Authorization", "Bearer <token>")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.get("https://app.botrep.ai/api/user/assistants/models")
.header("Authorization", "Bearer <token>")
.asString();
require 'uri'
require 'net/http'

url = URI("https://app.botrep.ai/api/user/assistants/models")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body
[
  {
    "id": 1,
    "name": "GPT-4o-mini"
  },
  {
    "id": 2,
    "name": "GPT-4.1-mini"
  }
]
[
  {
    "id": 1,
    "name": "GPT-4o",
    "code": "gpt-4o-realtime"
  },
  {
    "id": 4,
    "name": "GPT Realtime",
    "code": "gpt-realtime"
  }
]
This endpoint returns a list of available AI models that can be used when creating or updating assistants.

Query Parameters

type
string
default:"llm"
The type of models to retrieve based on engine mode:
  • llm - LLM models for pipeline mode (default)
  • multimodal - Multimodal models for multimodal mode
  • dualplex - Multimodal models for dualplex mode

Response fields

data
array
[
  {
    "id": 1,
    "name": "GPT-4o-mini"
  },
  {
    "id": 2,
    "name": "GPT-4.1-mini"
  }
]
[
  {
    "id": 1,
    "name": "GPT-4o",
    "code": "gpt-4o-realtime"
  },
  {
    "id": 4,
    "name": "GPT Realtime",
    "code": "gpt-realtime"
  }
]

Notes

  • If no type parameter is provided, LLM models are returned by default
  • Use llm_model_id field when creating pipeline assistants
  • Use multimodal_model_id field when creating multimodal or dualplex assistants