Get Queued Response Endpoint

• chat
• get_chat
• get_queued_response
• uncensored_chat

Overview

The Get Queued Chat endpoint helps to get a chat that is being queued. Pass the chat_id of the conversion to get the currently queued chat.

Request

--request POST 'https://modelslab.com/api/v6/llm/get_queued_response' \

Make a POST request to https://modelslab.com/api/v6/llm/get_queued_response endpoint and pass the required parameters in the request body.

Body Attributes

Parameter	Description
key	Your API Key used for request authorization
chat_id	ID of the chat you want to retrieve. All metadata of your chat will be returned.

Example

Body

Body

{
  "key": "",
  "chat_id" : "49afc793-803b-4b4a-bac9-d2f9318c2b8f"
}

Request

JS

var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  "key": "",
  "chat_id" : "49afc793-803b-4b4a-bac9-d2f9318c2b8f",
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://modelslab.com/api/v6/llm/get_queued_response", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

PHP

<?php

$payload = [
  "key" => "",
  "chat_id"  => "49afc793-803b-4b4a-bac9-d2f9318c2b8f",
];

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://modelslab.com/api/v6/llm/get_queued_response',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($payload),
  CURLOPT_HTTPHEADER => array(
    'Content-Type: application/json'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

NODE

var request = require('request');
var options = {
  'method': 'POST',
  'url': 'https://modelslab.com/api/v6/llm/get_queued_response',
  'headers': {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
        "key": "",
        "chat_id" : "49afc793-803b-4b4a-bac9-d2f9318c2b8f",
  })
};

request(options, function (error, response) {
  if (error) throw new Error(error);
  console.log(response.body);
});

PYTHON

import requests
import json

url = "https://modelslab.com/api/v6/llm/get_queued_response"

payload = json.dumps({
  "key": "",
  "chat_id" : "49afc793-803b-4b4a-bac9-d2f9318c2b8f",
})

headers = {
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

JAVA

OkHttpClient client = new OkHttpClient().newBuilder()
  .build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\n  \"key\": \"\",\n  \"init_image\" : \"https://d1okzptojspljx.cloudfront.net/generations/b3341a09-082e-474e-989f-72ec3f3bf7aa-0.png\",\n    \"prompt\" : \"give him glasses\"\n}");
Request request = new Request.Builder()
  .url("https://modelslab.com/api/v6/llm/get_queued_response")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .build();
Response response = client.newCall(request).execute();

Response

Example Response

{
    "status": "success",
    "output": [
        "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/chats/49afc793-803b-4b4a-bac9-d2f9318c2b8f.json"
    ],
    "message": "",
    "chat_id": "49afc793-803b-4b4a-bac9-d2f9318c2b8f",
    "meta": {
        "chat_id": "49afc793-803b-4b4a-bac9-d2f9318c2b8f",
    }
}