curl --request POST \
  --url https://api.uncensoredgpt.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "messages": [
    {
      "role": "user",
      "content": "Hello, how are you?"
    }
  ],
  "frequency_penalty": 123,
  "logit_bias": {},
  "logprobs": true,
  "top_logprobs": 123,
  "max_tokens": 123,
  "n": 123,
  "presence_penalty": 123,
  "response_format": {},
  "seed": 123,
  "service_tier": "<string>",
  "stop": "<string>",
  "stream_options": {},
  "temperature": 123,
  "top_p": 123,
  "tools": [
    {}
  ],
  "tool_choice": "<string>",
  "parallel_tool_calls": true,
  "function_call": "<string>",
  "functions": [
    {}
  ],
  "user": "<string>",
  "stream": true,
  "metadata": {},
  "guardrails": [
    "<string>"
  ],
  "caching": true,
  "num_retries": 123,
  "context_window_fallback_dict": {},
  "fallbacks": [
    "<string>"
  ]
}
'

import requests

url = "https://api.uncensoredgpt.ai/v1/chat/completions"

payload = {
    "model": "<string>",
    "messages": [
        {
            "role": "user",
            "content": "Hello, how are you?"
        }
    ],
    "frequency_penalty": 123,
    "logit_bias": {},
    "logprobs": True,
    "top_logprobs": 123,
    "max_tokens": 123,
    "n": 123,
    "presence_penalty": 123,
    "response_format": {},
    "seed": 123,
    "service_tier": "<string>",
    "stop": "<string>",
    "stream_options": {},
    "temperature": 123,
    "top_p": 123,
    "tools": [{}],
    "tool_choice": "<string>",
    "parallel_tool_calls": True,
    "function_call": "<string>",
    "functions": [{}],
    "user": "<string>",
    "stream": True,
    "metadata": {},
    "guardrails": ["<string>"],
    "caching": True,
    "num_retries": 123,
    "context_window_fallback_dict": {},
    "fallbacks": ["<string>"]
}
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: '<string>',
    messages: [{role: 'user', content: 'Hello, how are you?'}],
    frequency_penalty: 123,
    logit_bias: {},
    logprobs: true,
    top_logprobs: 123,
    max_tokens: 123,
    n: 123,
    presence_penalty: 123,
    response_format: {},
    seed: 123,
    service_tier: '<string>',
    stop: '<string>',
    stream_options: {},
    temperature: 123,
    top_p: 123,
    tools: [{}],
    tool_choice: '<string>',
    parallel_tool_calls: true,
    function_call: '<string>',
    functions: [{}],
    user: '<string>',
    stream: true,
    metadata: {},
    guardrails: ['<string>'],
    caching: true,
    num_retries: 123,
    context_window_fallback_dict: {},
    fallbacks: ['<string>']
  })
};

fetch('https://api.uncensoredgpt.ai/v1/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://api.uncensoredgpt.ai/v1/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' => '<string>',
    'messages' => [
        [
                'role' => 'user',
                'content' => 'Hello, how are you?'
        ]
    ],
    'frequency_penalty' => 123,
    'logit_bias' => [
        
    ],
    'logprobs' => true,
    'top_logprobs' => 123,
    'max_tokens' => 123,
    'n' => 123,
    'presence_penalty' => 123,
    'response_format' => [
        
    ],
    'seed' => 123,
    'service_tier' => '<string>',
    'stop' => '<string>',
    'stream_options' => [
        
    ],
    'temperature' => 123,
    'top_p' => 123,
    'tools' => [
        [
                
        ]
    ],
    'tool_choice' => '<string>',
    'parallel_tool_calls' => true,
    'function_call' => '<string>',
    'functions' => [
        [
                
        ]
    ],
    'user' => '<string>',
    'stream' => true,
    'metadata' => [
        
    ],
    'guardrails' => [
        '<string>'
    ],
    'caching' => true,
    'num_retries' => 123,
    'context_window_fallback_dict' => [
        
    ],
    'fallbacks' => [
        '<string>'
    ]
  ]),
  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.uncensoredgpt.ai/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Hello, how are you?\"\n    }\n  ],\n  \"frequency_penalty\": 123,\n  \"logit_bias\": {},\n  \"logprobs\": true,\n  \"top_logprobs\": 123,\n  \"max_tokens\": 123,\n  \"n\": 123,\n  \"presence_penalty\": 123,\n  \"response_format\": {},\n  \"seed\": 123,\n  \"service_tier\": \"<string>\",\n  \"stop\": \"<string>\",\n  \"stream_options\": {},\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": \"<string>\",\n  \"parallel_tool_calls\": true,\n  \"function_call\": \"<string>\",\n  \"functions\": [\n    {}\n  ],\n  \"user\": \"<string>\",\n  \"stream\": true,\n  \"metadata\": {},\n  \"guardrails\": [\n    \"<string>\"\n  ],\n  \"caching\": true,\n  \"num_retries\": 123,\n  \"context_window_fallback_dict\": {},\n  \"fallbacks\": [\n    \"<string>\"\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.uncensoredgpt.ai/v1/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Hello, how are you?\"\n    }\n  ],\n  \"frequency_penalty\": 123,\n  \"logit_bias\": {},\n  \"logprobs\": true,\n  \"top_logprobs\": 123,\n  \"max_tokens\": 123,\n  \"n\": 123,\n  \"presence_penalty\": 123,\n  \"response_format\": {},\n  \"seed\": 123,\n  \"service_tier\": \"<string>\",\n  \"stop\": \"<string>\",\n  \"stream_options\": {},\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": \"<string>\",\n  \"parallel_tool_calls\": true,\n  \"function_call\": \"<string>\",\n  \"functions\": [\n    {}\n  ],\n  \"user\": \"<string>\",\n  \"stream\": true,\n  \"metadata\": {},\n  \"guardrails\": [\n    \"<string>\"\n  ],\n  \"caching\": true,\n  \"num_retries\": 123,\n  \"context_window_fallback_dict\": {},\n  \"fallbacks\": [\n    \"<string>\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.uncensoredgpt.ai/v1/chat/completions")

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\": \"<string>\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Hello, how are you?\"\n    }\n  ],\n  \"frequency_penalty\": 123,\n  \"logit_bias\": {},\n  \"logprobs\": true,\n  \"top_logprobs\": 123,\n  \"max_tokens\": 123,\n  \"n\": 123,\n  \"presence_penalty\": 123,\n  \"response_format\": {},\n  \"seed\": 123,\n  \"service_tier\": \"<string>\",\n  \"stop\": \"<string>\",\n  \"stream_options\": {},\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": \"<string>\",\n  \"parallel_tool_calls\": true,\n  \"function_call\": \"<string>\",\n  \"functions\": [\n    {}\n  ],\n  \"user\": \"<string>\",\n  \"stream\": true,\n  \"metadata\": {},\n  \"guardrails\": [\n    \"<string>\"\n  ],\n  \"caching\": true,\n  \"num_retries\": 123,\n  \"context_window_fallback_dict\": {},\n  \"fallbacks\": [\n    \"<string>\"\n  ]\n}"

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

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}