Responses

curl --request POST \
  --url https://llm.modellix.ai/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "openai/gpt-5.6-luna",
  "input": "Introduce yourself in one sentence"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'openai/gpt-5.6-luna', input: 'Introduce yourself in one sentence'})
};

fetch('https://llm.modellix.ai/v1/responses', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://llm.modellix.ai/v1/responses"

payload = {
    "model": "openai/gpt-5.6-luna",
    "input": "Introduce yourself in one sentence"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

package main

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

func main() {

	url := "https://llm.modellix.ai/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"openai/gpt-5.6-luna\",\n  \"input\": \"Introduce yourself in one sentence\"\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://llm.modellix.ai/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"openai/gpt-5.6-luna\",\n  \"input\": \"Introduce yourself in one sentence\"\n}")
  .asString();

const url = 'https://llm.modellix.ai/v1/responses';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'openai/gpt-5.6-luna', input: 'Introduce yourself in one sentence'})
};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://llm.modellix.ai/v1/responses",
  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' => 'openai/gpt-5.6-luna',
    'input' => 'Introduce yourself in one sentence'
  ]),
  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;
}

require 'uri'
require 'net/http'

url = URI("https://llm.modellix.ai/v1/responses")

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\": \"openai/gpt-5.6-luna\",\n  \"input\": \"Introduce yourself in one sentence\"\n}"

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

import Foundation

let parameters = [
  "model": "openai/gpt-5.6-luna",
  "input": "Introduce yourself in one sentence"
] as [String : Any?]

let postData = try JSONSerialization.data(withJSONObject: parameters, options: [])

let url = URL(string: "https://llm.modellix.ai/v1/responses")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
request.httpBody = postData

let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))

$headers=@{}
$headers.Add("Authorization", "Bearer <token>")
$headers.Add("Content-Type", "application/json")
$response = Invoke-WebRequest -Uri 'https://llm.modellix.ai/v1/responses' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "model": "openai/gpt-5.6-luna",
  "input": "Introduce yourself in one sentence"
}'

{
  "id": "<string>",
  "object": "response",
  "status": "<string>",
  "model": "<string>",
  "output": [
    {}
  ],
  "usage": {}
}

Responses

OpenAI Responses–compatible endpoint on the Modellix LLM gateway. Accepts a synchronous request with model (provider/name format) and input (string or content array); returns a Responses JSON object by default, or SSE (text/event-stream) when stream=true. Use max_output_tokens for output limits. Prefer this path when the client targets the OpenAI Responses API rather than classic Chat Completions. Do not send Chat Completions-style messages/max_tokens or Anthropic Messages shapes on this endpoint—use /chat/completions or /messages instead. Optional fields follow OpenAI Responses; support depends on the selected model.

POST

responses

Responses

curl --request POST \
  --url https://llm.modellix.ai/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "openai/gpt-5.6-luna",
  "input": "Introduce yourself in one sentence"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'openai/gpt-5.6-luna', input: 'Introduce yourself in one sentence'})
};

fetch('https://llm.modellix.ai/v1/responses', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://llm.modellix.ai/v1/responses"

payload = {
    "model": "openai/gpt-5.6-luna",
    "input": "Introduce yourself in one sentence"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

package main

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

func main() {

	url := "https://llm.modellix.ai/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"openai/gpt-5.6-luna\",\n  \"input\": \"Introduce yourself in one sentence\"\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://llm.modellix.ai/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"openai/gpt-5.6-luna\",\n  \"input\": \"Introduce yourself in one sentence\"\n}")
  .asString();

const url = 'https://llm.modellix.ai/v1/responses';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'openai/gpt-5.6-luna', input: 'Introduce yourself in one sentence'})
};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://llm.modellix.ai/v1/responses",
  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' => 'openai/gpt-5.6-luna',
    'input' => 'Introduce yourself in one sentence'
  ]),
  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;
}

require 'uri'
require 'net/http'

url = URI("https://llm.modellix.ai/v1/responses")

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\": \"openai/gpt-5.6-luna\",\n  \"input\": \"Introduce yourself in one sentence\"\n}"

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

import Foundation

let parameters = [
  "model": "openai/gpt-5.6-luna",
  "input": "Introduce yourself in one sentence"
] as [String : Any?]

let postData = try JSONSerialization.data(withJSONObject: parameters, options: [])

let url = URL(string: "https://llm.modellix.ai/v1/responses")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
request.httpBody = postData

let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))

$headers=@{}
$headers.Add("Authorization", "Bearer <token>")
$headers.Add("Content-Type", "application/json")
$response = Invoke-WebRequest -Uri 'https://llm.modellix.ai/v1/responses' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "model": "openai/gpt-5.6-luna",
  "input": "Introduce yourself in one sentence"
}'

{
  "id": "<string>",
  "object": "response",
  "status": "<string>",
  "model": "<string>",
  "output": [
    {}
  ],
  "usage": {}
}

Authorizations

Authorization

string

header

required

Authorization: Bearer (OpenAI SDK, Codex, OpenCode, etc.)

Headers

X-Mdlx-Session-Id

string

Optional session affinity header. Length 8–128; alphanumeric, -, and _ only.

Required string length: 8 - 128

Pattern: ^[A-Za-z0-9_-]+$

Example:

"my-conversation-001"

Body

application/json

OpenAI Responses request body. Requires model and input; optional stream, max_output_tokens, and temperature. Do not send Chat Completions messages.

Core fields below; other fields follow OpenAI Responses.

model

string

required

Model ID in provider/name form

Examples:

"openai/gpt-5.5"

"openai/gpt-5.6-sol"

"anthropic/claude-sonnet-5"

"google/gemini-3.6-flash"

input

required

String or content array for the Responses API. Not a Chat Completions messages array.

stream

boolean

default:false

Default false. When true, returns an OpenAI Responses SSE event stream.

max_output_tokens

integer

Optional maximum output tokens for the Responses API. Not max_tokens.

Required range: x >= 1

temperature

number

Sampling temperature for the Responses API. Model-dependent.

Response

Success. Non-streaming returns JSON; streaming returns SSE.

Shape follows OpenAI response

string

Unique identifier for this Responses API result.

object

string

Object type. Typically response for the Responses API.

Example:

"response"

status

string

Status of the response (for example completed or failed).

model

string

Model ID that produced this Responses API result.

output

object[]

Array of response output items (OpenAI Responses shape).

usage

object

Token usage object for the Responses API. Shape follows OpenAI Responses usage, not Chat Completions prompt_tokens fields.

Media Models

LLM

File

Else

Responses

Authorizations

Headers

Body

Response