Create Chat Completion

curl --request POST \
  --url https://api.example.com/api/v1/openai/chat/completions \
  --header 'Authorization: Basic <encoded-value>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "messages": [
    {
      "content": "<string>",
      "role": "developer",
      "name": "<string>"
    }
  ],
  "model": "<string>",
  "audio": {
    "voice": "<string>"
  },
  "frequency_penalty": 123,
  "functions": [
    {
      "name": "<string>",
      "description": "<string>",
      "parameters": {}
    }
  ],
  "logit_bias": {},
  "logprobs": true,
  "max_completion_tokens": 123,
  "max_tokens": 123,
  "metadata": {},
  "modalities": [],
  "n": 123,
  "parallel_tool_calls": true,
  "prediction": {
    "content": "<string>",
    "type": "content"
  },
  "presence_penalty": 123,
  "response_format": {
    "type": "text"
  },
  "seed": 123,
  "stop": "<string>",
  "store": true,
  "stream": true,
  "stream_options": {
    "include_obfuscation": true,
    "include_usage": true
  },
  "temperature": 123,
  "tools": [
    {
      "function": {
        "name": "<string>",
        "description": "<string>",
        "parameters": {},
        "strict": true
      },
      "type": "function"
    }
  ],
  "top_logprobs": 123,
  "top_p": 123,
  "user": "<string>",
  "web_search_options": {
    "user_location": {
      "approximate": {
        "city": "<string>",
        "country": "<string>",
        "region": "<string>",
        "timezone": "<string>"
      },
      "type": "approximate"
    }
  }
}
'

import requests

url = "https://api.example.com/api/v1/openai/chat/completions"

payload = {
    "messages": [
        {
            "content": "<string>",
            "role": "developer",
            "name": "<string>"
        }
    ],
    "model": "<string>",
    "audio": { "voice": "<string>" },
    "frequency_penalty": 123,
    "functions": [
        {
            "name": "<string>",
            "description": "<string>",
            "parameters": {}
        }
    ],
    "logit_bias": {},
    "logprobs": True,
    "max_completion_tokens": 123,
    "max_tokens": 123,
    "metadata": {},
    "modalities": [],
    "n": 123,
    "parallel_tool_calls": True,
    "prediction": {
        "content": "<string>",
        "type": "content"
    },
    "presence_penalty": 123,
    "response_format": { "type": "text" },
    "seed": 123,
    "stop": "<string>",
    "store": True,
    "stream": True,
    "stream_options": {
        "include_obfuscation": True,
        "include_usage": True
    },
    "temperature": 123,
    "tools": [
        {
            "function": {
                "name": "<string>",
                "description": "<string>",
                "parameters": {},
                "strict": True
            },
            "type": "function"
        }
    ],
    "top_logprobs": 123,
    "top_p": 123,
    "user": "<string>",
    "web_search_options": { "user_location": {
            "approximate": {
                "city": "<string>",
                "country": "<string>",
                "region": "<string>",
                "timezone": "<string>"
            },
            "type": "approximate"
        } }
}
headers = {
    "Authorization": "Basic <encoded-value>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Basic <encoded-value>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    messages: [{content: '<string>', role: 'developer', name: '<string>'}],
    model: '<string>',
    audio: {voice: '<string>'},
    frequency_penalty: 123,
    functions: [{name: '<string>', description: '<string>', parameters: {}}],
    logit_bias: {},
    logprobs: true,
    max_completion_tokens: 123,
    max_tokens: 123,
    metadata: {},
    modalities: [],
    n: 123,
    parallel_tool_calls: true,
    prediction: {content: '<string>', type: 'content'},
    presence_penalty: 123,
    response_format: {type: 'text'},
    seed: 123,
    stop: '<string>',
    store: true,
    stream: true,
    stream_options: {include_obfuscation: true, include_usage: true},
    temperature: 123,
    tools: [
      {
        function: {name: '<string>', description: '<string>', parameters: {}, strict: true},
        type: 'function'
      }
    ],
    top_logprobs: 123,
    top_p: 123,
    user: '<string>',
    web_search_options: {
      user_location: {
        approximate: {
          city: '<string>',
          country: '<string>',
          region: '<string>',
          timezone: '<string>'
        },
        type: 'approximate'
      }
    }
  })
};

fetch('https://api.example.com/api/v1/openai/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.example.com/api/v1/openai/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([
    'messages' => [
        [
                'content' => '<string>',
                'role' => 'developer',
                'name' => '<string>'
        ]
    ],
    'model' => '<string>',
    'audio' => [
        'voice' => '<string>'
    ],
    'frequency_penalty' => 123,
    'functions' => [
        [
                'name' => '<string>',
                'description' => '<string>',
                'parameters' => [
                                
                ]
        ]
    ],
    'logit_bias' => [
        
    ],
    'logprobs' => true,
    'max_completion_tokens' => 123,
    'max_tokens' => 123,
    'metadata' => [
        
    ],
    'modalities' => [
        
    ],
    'n' => 123,
    'parallel_tool_calls' => true,
    'prediction' => [
        'content' => '<string>',
        'type' => 'content'
    ],
    'presence_penalty' => 123,
    'response_format' => [
        'type' => 'text'
    ],
    'seed' => 123,
    'stop' => '<string>',
    'store' => true,
    'stream' => true,
    'stream_options' => [
        'include_obfuscation' => true,
        'include_usage' => true
    ],
    'temperature' => 123,
    'tools' => [
        [
                'function' => [
                                'name' => '<string>',
                                'description' => '<string>',
                                'parameters' => [
                                                                
                                ],
                                'strict' => true
                ],
                'type' => 'function'
        ]
    ],
    'top_logprobs' => 123,
    'top_p' => 123,
    'user' => '<string>',
    'web_search_options' => [
        'user_location' => [
                'approximate' => [
                                'city' => '<string>',
                                'country' => '<string>',
                                'region' => '<string>',
                                'timezone' => '<string>'
                ],
                'type' => 'approximate'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Basic <encoded-value>",
    "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.example.com/api/v1/openai/chat/completions"

	payload := strings.NewReader("{\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"role\": \"developer\",\n      \"name\": \"<string>\"\n    }\n  ],\n  \"model\": \"<string>\",\n  \"audio\": {\n    \"voice\": \"<string>\"\n  },\n  \"frequency_penalty\": 123,\n  \"functions\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"parameters\": {}\n    }\n  ],\n  \"logit_bias\": {},\n  \"logprobs\": true,\n  \"max_completion_tokens\": 123,\n  \"max_tokens\": 123,\n  \"metadata\": {},\n  \"modalities\": [],\n  \"n\": 123,\n  \"parallel_tool_calls\": true,\n  \"prediction\": {\n    \"content\": \"<string>\",\n    \"type\": \"content\"\n  },\n  \"presence_penalty\": 123,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"seed\": 123,\n  \"stop\": \"<string>\",\n  \"store\": true,\n  \"stream\": true,\n  \"stream_options\": {\n    \"include_obfuscation\": true,\n    \"include_usage\": true\n  },\n  \"temperature\": 123,\n  \"tools\": [\n    {\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {},\n        \"strict\": true\n      },\n      \"type\": \"function\"\n    }\n  ],\n  \"top_logprobs\": 123,\n  \"top_p\": 123,\n  \"user\": \"<string>\",\n  \"web_search_options\": {\n    \"user_location\": {\n      \"approximate\": {\n        \"city\": \"<string>\",\n        \"country\": \"<string>\",\n        \"region\": \"<string>\",\n        \"timezone\": \"<string>\"\n      },\n      \"type\": \"approximate\"\n    }\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Basic <encoded-value>")
	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.example.com/api/v1/openai/chat/completions")
  .header("Authorization", "Basic <encoded-value>")
  .header("Content-Type", "application/json")
  .body("{\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"role\": \"developer\",\n      \"name\": \"<string>\"\n    }\n  ],\n  \"model\": \"<string>\",\n  \"audio\": {\n    \"voice\": \"<string>\"\n  },\n  \"frequency_penalty\": 123,\n  \"functions\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"parameters\": {}\n    }\n  ],\n  \"logit_bias\": {},\n  \"logprobs\": true,\n  \"max_completion_tokens\": 123,\n  \"max_tokens\": 123,\n  \"metadata\": {},\n  \"modalities\": [],\n  \"n\": 123,\n  \"parallel_tool_calls\": true,\n  \"prediction\": {\n    \"content\": \"<string>\",\n    \"type\": \"content\"\n  },\n  \"presence_penalty\": 123,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"seed\": 123,\n  \"stop\": \"<string>\",\n  \"store\": true,\n  \"stream\": true,\n  \"stream_options\": {\n    \"include_obfuscation\": true,\n    \"include_usage\": true\n  },\n  \"temperature\": 123,\n  \"tools\": [\n    {\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {},\n        \"strict\": true\n      },\n      \"type\": \"function\"\n    }\n  ],\n  \"top_logprobs\": 123,\n  \"top_p\": 123,\n  \"user\": \"<string>\",\n  \"web_search_options\": {\n    \"user_location\": {\n      \"approximate\": {\n        \"city\": \"<string>\",\n        \"country\": \"<string>\",\n        \"region\": \"<string>\",\n        \"timezone\": \"<string>\"\n      },\n      \"type\": \"approximate\"\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/v1/openai/chat/completions")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Basic <encoded-value>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"role\": \"developer\",\n      \"name\": \"<string>\"\n    }\n  ],\n  \"model\": \"<string>\",\n  \"audio\": {\n    \"voice\": \"<string>\"\n  },\n  \"frequency_penalty\": 123,\n  \"functions\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"parameters\": {}\n    }\n  ],\n  \"logit_bias\": {},\n  \"logprobs\": true,\n  \"max_completion_tokens\": 123,\n  \"max_tokens\": 123,\n  \"metadata\": {},\n  \"modalities\": [],\n  \"n\": 123,\n  \"parallel_tool_calls\": true,\n  \"prediction\": {\n    \"content\": \"<string>\",\n    \"type\": \"content\"\n  },\n  \"presence_penalty\": 123,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"seed\": 123,\n  \"stop\": \"<string>\",\n  \"store\": true,\n  \"stream\": true,\n  \"stream_options\": {\n    \"include_obfuscation\": true,\n    \"include_usage\": true\n  },\n  \"temperature\": 123,\n  \"tools\": [\n    {\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {},\n        \"strict\": true\n      },\n      \"type\": \"function\"\n    }\n  ],\n  \"top_logprobs\": 123,\n  \"top_p\": 123,\n  \"user\": \"<string>\",\n  \"web_search_options\": {\n    \"user_location\": {\n      \"approximate\": {\n        \"city\": \"<string>\",\n        \"country\": \"<string>\",\n        \"region\": \"<string>\",\n        \"timezone\": \"<string>\"\n      },\n      \"type\": \"approximate\"\n    }\n  }\n}"

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

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