Direct Responses

POST

direct

responses

Direct Responses API (v2)

curl --request POST \
  --url https://platform.ai.gloo.com/ai/v2/direct/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "input": "<string>",
  "model": "<string>",
  "frequency_penalty": 123,
  "image_generation": {},
  "instructions": "<string>",
  "max_output_tokens": 123,
  "parallel_tool_calls": true,
  "presence_penalty": 123,
  "prompt_cache_key": "<string>",
  "reasoning": {},
  "response_format": {},
  "stop": null,
  "stream": false,
  "temperature": 123,
  "tool_choice": null,
  "tools": [
    {}
  ],
  "top_p": 123
}
'

import requests

url = "https://platform.ai.gloo.com/ai/v2/direct/responses"

payload = {
    "input": "<string>",
    "model": "<string>",
    "frequency_penalty": 123,
    "image_generation": {},
    "instructions": "<string>",
    "max_output_tokens": 123,
    "parallel_tool_calls": True,
    "presence_penalty": 123,
    "prompt_cache_key": "<string>",
    "reasoning": {},
    "response_format": {},
    "stop": None,
    "stream": False,
    "temperature": 123,
    "tool_choice": None,
    "tools": [{}],
    "top_p": 123
}
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({
    input: '<string>',
    model: '<string>',
    frequency_penalty: 123,
    image_generation: {},
    instructions: '<string>',
    max_output_tokens: 123,
    parallel_tool_calls: true,
    presence_penalty: 123,
    prompt_cache_key: '<string>',
    reasoning: {},
    response_format: {},
    stop: null,
    stream: false,
    temperature: 123,
    tool_choice: null,
    tools: [{}],
    top_p: 123
  })
};

fetch('https://platform.ai.gloo.com/ai/v2/direct/responses', 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://platform.ai.gloo.com/ai/v2/direct/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([
    'input' => '<string>',
    'model' => '<string>',
    'frequency_penalty' => 123,
    'image_generation' => [
        
    ],
    'instructions' => '<string>',
    'max_output_tokens' => 123,
    'parallel_tool_calls' => true,
    'presence_penalty' => 123,
    'prompt_cache_key' => '<string>',
    'reasoning' => [
        
    ],
    'response_format' => [
        
    ],
    'stop' => null,
    'stream' => false,
    'temperature' => 123,
    'tool_choice' => null,
    'tools' => [
        [
                
        ]
    ],
    'top_p' => 123
  ]),
  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://platform.ai.gloo.com/ai/v2/direct/responses"

	payload := strings.NewReader("{\n  \"input\": \"<string>\",\n  \"model\": \"<string>\",\n  \"frequency_penalty\": 123,\n  \"image_generation\": {},\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"parallel_tool_calls\": true,\n  \"presence_penalty\": 123,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"response_format\": {},\n  \"stop\": null,\n  \"stream\": false,\n  \"temperature\": 123,\n  \"tool_choice\": null,\n  \"tools\": [\n    {}\n  ],\n  \"top_p\": 123\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://platform.ai.gloo.com/ai/v2/direct/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"input\": \"<string>\",\n  \"model\": \"<string>\",\n  \"frequency_penalty\": 123,\n  \"image_generation\": {},\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"parallel_tool_calls\": true,\n  \"presence_penalty\": 123,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"response_format\": {},\n  \"stop\": null,\n  \"stream\": false,\n  \"temperature\": 123,\n  \"tool_choice\": null,\n  \"tools\": [\n    {}\n  ],\n  \"top_p\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://platform.ai.gloo.com/ai/v2/direct/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  \"input\": \"<string>\",\n  \"model\": \"<string>\",\n  \"frequency_penalty\": 123,\n  \"image_generation\": {},\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"parallel_tool_calls\": true,\n  \"presence_penalty\": 123,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"response_format\": {},\n  \"stop\": null,\n  \"stream\": false,\n  \"temperature\": 123,\n  \"tool_choice\": null,\n  \"tools\": [\n    {}\n  ],\n  \"top_p\": 123\n}"

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

{
  "id": "resp_123",
  "object": "response",
  "created_at": 1716912000,
  "model": "gloo-openai-gpt-5.5",
  "status": "completed",
  "output": [
    {
      "type": "message",
      "id": "msg_123",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "Hello! How can I help?"
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 8,
    "output_tokens": 7,
    "total_tokens": 15
  }
}

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

Error Reference: Responses

Common errors: unsupported model, unsupported sampling parameter, context window exceeded, provider timeout, provider unavailable.

Authorizations

Authorization

string

header

default:<api-key>

required

Bearer authentication header of the form Bearer <api-key>, where <api-key> is your API key.

Headers

X-Cache-TTL

string | null

Body

application/json

Request body for the Responses API (POST /ai/v2/direct/responses).

input

required

String prompt or array of input items

model

string

required

frequency_penalty

number | null

image_generation

Image Generation · object | null

Image generation options (quality, size) mapped onto OpenAI's image_generation tool; ignored by providers without quality controls.

instructions

string | null

max_output_tokens

integer | null

parallel_tool_calls

boolean | null

presence_penalty

number | null

prompt_cache_key

string | null

reasoning

Reasoning · object | null

response_format

Response Format · object | null

stop

unknown

stream

boolean

default:false

temperature

number | null

tool_choice

unknown

tools

Tools · object[] | null

top_p

number | null

Response

Successful Responses API result. If stream is false or omitted, the response is JSON. If stream=true, the response is a named Server-Sent Events stream.

A non-streaming Responses API result.

string

required

object

string

default:response

required

Allowed value: "response"

created_at

integer

required

Unix timestamp when the response was created.

model

string

required

status

enum<string>

required

Available options:

completed,

failed,

in_progress,

incomplete

output

(Message · object | Image Generation · object | Function Call · object | Reasoning · object)[]

required

Items generated by the model, such as assistant messages, images, function calls, or reasoning summaries.

An assistant message produced by the model.

Message
Image Generation
Function Call
Reasoning

Show child attributes

usage

Usage · object

Token usage for the response.

Show child attributes

instructions

string

max_output_tokens

integer

metadata

object

Show child attributes

parallel_tool_calls

boolean

prompt_cache_key

string

reasoning

object

temperature

number

text

object

tool_choice

any

tools

object[]

top_p

number

ignored_params

Ignored Parameters · object

Sampling parameters ignored because the selected model does not support them.

Show child attributes

⌘I

Direct Responses API (v2)

curl --request POST \
  --url https://platform.ai.gloo.com/ai/v2/direct/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "input": "<string>",
  "model": "<string>",
  "frequency_penalty": 123,
  "image_generation": {},
  "instructions": "<string>",
  "max_output_tokens": 123,
  "parallel_tool_calls": true,
  "presence_penalty": 123,
  "prompt_cache_key": "<string>",
  "reasoning": {},
  "response_format": {},
  "stop": null,
  "stream": false,
  "temperature": 123,
  "tool_choice": null,
  "tools": [
    {}
  ],
  "top_p": 123
}
'

import requests

url = "https://platform.ai.gloo.com/ai/v2/direct/responses"

payload = {
    "input": "<string>",
    "model": "<string>",
    "frequency_penalty": 123,
    "image_generation": {},
    "instructions": "<string>",
    "max_output_tokens": 123,
    "parallel_tool_calls": True,
    "presence_penalty": 123,
    "prompt_cache_key": "<string>",
    "reasoning": {},
    "response_format": {},
    "stop": None,
    "stream": False,
    "temperature": 123,
    "tool_choice": None,
    "tools": [{}],
    "top_p": 123
}
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({
    input: '<string>',
    model: '<string>',
    frequency_penalty: 123,
    image_generation: {},
    instructions: '<string>',
    max_output_tokens: 123,
    parallel_tool_calls: true,
    presence_penalty: 123,
    prompt_cache_key: '<string>',
    reasoning: {},
    response_format: {},
    stop: null,
    stream: false,
    temperature: 123,
    tool_choice: null,
    tools: [{}],
    top_p: 123
  })
};

fetch('https://platform.ai.gloo.com/ai/v2/direct/responses', 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://platform.ai.gloo.com/ai/v2/direct/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([
    'input' => '<string>',
    'model' => '<string>',
    'frequency_penalty' => 123,
    'image_generation' => [
        
    ],
    'instructions' => '<string>',
    'max_output_tokens' => 123,
    'parallel_tool_calls' => true,
    'presence_penalty' => 123,
    'prompt_cache_key' => '<string>',
    'reasoning' => [
        
    ],
    'response_format' => [
        
    ],
    'stop' => null,
    'stream' => false,
    'temperature' => 123,
    'tool_choice' => null,
    'tools' => [
        [
                
        ]
    ],
    'top_p' => 123
  ]),
  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://platform.ai.gloo.com/ai/v2/direct/responses"

	payload := strings.NewReader("{\n  \"input\": \"<string>\",\n  \"model\": \"<string>\",\n  \"frequency_penalty\": 123,\n  \"image_generation\": {},\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"parallel_tool_calls\": true,\n  \"presence_penalty\": 123,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"response_format\": {},\n  \"stop\": null,\n  \"stream\": false,\n  \"temperature\": 123,\n  \"tool_choice\": null,\n  \"tools\": [\n    {}\n  ],\n  \"top_p\": 123\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://platform.ai.gloo.com/ai/v2/direct/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"input\": \"<string>\",\n  \"model\": \"<string>\",\n  \"frequency_penalty\": 123,\n  \"image_generation\": {},\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"parallel_tool_calls\": true,\n  \"presence_penalty\": 123,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"response_format\": {},\n  \"stop\": null,\n  \"stream\": false,\n  \"temperature\": 123,\n  \"tool_choice\": null,\n  \"tools\": [\n    {}\n  ],\n  \"top_p\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://platform.ai.gloo.com/ai/v2/direct/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  \"input\": \"<string>\",\n  \"model\": \"<string>\",\n  \"frequency_penalty\": 123,\n  \"image_generation\": {},\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"parallel_tool_calls\": true,\n  \"presence_penalty\": 123,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"response_format\": {},\n  \"stop\": null,\n  \"stream\": false,\n  \"temperature\": 123,\n  \"tool_choice\": null,\n  \"tools\": [\n    {}\n  ],\n  \"top_p\": 123\n}"

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

{
  "id": "resp_123",
  "object": "response",
  "created_at": 1716912000,
  "model": "gloo-openai-gpt-5.5",
  "status": "completed",
  "output": [
    {
      "type": "message",
      "id": "msg_123",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "Hello! How can I help?"
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 8,
    "output_tokens": 7,
    "total_tokens": 15
  }
}

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

General

Models

Responses & Completions

Content

Data Engine Content Controls

Legacy / Deprecated APIs

Direct Responses

Error Reference: Responses

Authorizations

Headers

Body

Response