curl --request POST \
  --url https://api.example.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "access_programs": {},
  "background": true,
  "context_management": [
    {
      "type": "<string>",
      "compact_threshold": 123
    }
  ],
  "conversation": "<string>",
  "include": [],
  "input": "<string>",
  "instructions": "<string>",
  "max_output_tokens": 123,
  "max_tool_calls": 123,
  "metadata": {},
  "model": "<string>",
  "moderation": {
    "model": "<string>",
    "policy": {
      "input": {},
      "output": {}
    }
  },
  "multi_agent": {
    "enabled": true,
    "max_concurrent_subagents": 123
  },
  "parallel_tool_calls": true,
  "previous_response_id": "<string>",
  "prompt": {
    "id": "<string>",
    "variables": {},
    "version": "<string>"
  },
  "prompt_cache_key": "<string>",
  "prompt_cache_options": {
    "comparison_response_id": "<string>",
    "prewarm": true
  },
  "reasoning": {
    "mode": "<string>"
  },
  "safety_identifier": "<string>",
  "store": true,
  "stream": true,
  "stream_options": {
    "include_obfuscation": true
  },
  "temperature": 123,
  "text": {
    "format": {
      "type": "text"
    }
  },
  "tools": [
    {
      "type": "function"
    }
  ],
  "top_logprobs": 123,
  "top_p": 123,
  "user": "<string>"
}
'

import requests

url = "https://api.example.com/v1/responses"

payload = {
    "access_programs": {},
    "background": True,
    "context_management": [
        {
            "type": "<string>",
            "compact_threshold": 123
        }
    ],
    "conversation": "<string>",
    "include": [],
    "input": "<string>",
    "instructions": "<string>",
    "max_output_tokens": 123,
    "max_tool_calls": 123,
    "metadata": {},
    "model": "<string>",
    "moderation": {
        "model": "<string>",
        "policy": {
            "input": {},
            "output": {}
        }
    },
    "multi_agent": {
        "enabled": True,
        "max_concurrent_subagents": 123
    },
    "parallel_tool_calls": True,
    "previous_response_id": "<string>",
    "prompt": {
        "id": "<string>",
        "variables": {},
        "version": "<string>"
    },
    "prompt_cache_key": "<string>",
    "prompt_cache_options": {
        "comparison_response_id": "<string>",
        "prewarm": True
    },
    "reasoning": { "mode": "<string>" },
    "safety_identifier": "<string>",
    "store": True,
    "stream": True,
    "stream_options": { "include_obfuscation": True },
    "temperature": 123,
    "text": { "format": { "type": "text" } },
    "tools": [{ "type": "function" }],
    "top_logprobs": 123,
    "top_p": 123,
    "user": "<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({
    access_programs: {},
    background: true,
    context_management: [{type: '<string>', compact_threshold: 123}],
    conversation: '<string>',
    include: [],
    input: '<string>',
    instructions: '<string>',
    max_output_tokens: 123,
    max_tool_calls: 123,
    metadata: {},
    model: '<string>',
    moderation: {model: '<string>', policy: {input: {}, output: {}}},
    multi_agent: {enabled: true, max_concurrent_subagents: 123},
    parallel_tool_calls: true,
    previous_response_id: '<string>',
    prompt: {id: '<string>', variables: {}, version: '<string>'},
    prompt_cache_key: '<string>',
    prompt_cache_options: {comparison_response_id: '<string>', prewarm: true},
    reasoning: {mode: '<string>'},
    safety_identifier: '<string>',
    store: true,
    stream: true,
    stream_options: {include_obfuscation: true},
    temperature: 123,
    text: {format: {type: 'text'}},
    tools: [{type: 'function'}],
    top_logprobs: 123,
    top_p: 123,
    user: '<string>'
  })
};

fetch('https://api.example.com/v1/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://api.example.com/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([
    'access_programs' => [
        
    ],
    'background' => true,
    'context_management' => [
        [
                'type' => '<string>',
                'compact_threshold' => 123
        ]
    ],
    'conversation' => '<string>',
    'include' => [
        
    ],
    'input' => '<string>',
    'instructions' => '<string>',
    'max_output_tokens' => 123,
    'max_tool_calls' => 123,
    'metadata' => [
        
    ],
    'model' => '<string>',
    'moderation' => [
        'model' => '<string>',
        'policy' => [
                'input' => [
                                
                ],
                'output' => [
                                
                ]
        ]
    ],
    'multi_agent' => [
        'enabled' => true,
        'max_concurrent_subagents' => 123
    ],
    'parallel_tool_calls' => true,
    'previous_response_id' => '<string>',
    'prompt' => [
        'id' => '<string>',
        'variables' => [
                
        ],
        'version' => '<string>'
    ],
    'prompt_cache_key' => '<string>',
    'prompt_cache_options' => [
        'comparison_response_id' => '<string>',
        'prewarm' => true
    ],
    'reasoning' => [
        'mode' => '<string>'
    ],
    'safety_identifier' => '<string>',
    'store' => true,
    'stream' => true,
    'stream_options' => [
        'include_obfuscation' => true
    ],
    'temperature' => 123,
    'text' => [
        'format' => [
                'type' => 'text'
        ]
    ],
    'tools' => [
        [
                'type' => 'function'
        ]
    ],
    'top_logprobs' => 123,
    'top_p' => 123,
    'user' => '<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.example.com/v1/responses"

	payload := strings.NewReader("{\n  \"access_programs\": {},\n  \"background\": true,\n  \"context_management\": [\n    {\n      \"type\": \"<string>\",\n      \"compact_threshold\": 123\n    }\n  ],\n  \"conversation\": \"<string>\",\n  \"include\": [],\n  \"input\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"max_tool_calls\": 123,\n  \"metadata\": {},\n  \"model\": \"<string>\",\n  \"moderation\": {\n    \"model\": \"<string>\",\n    \"policy\": {\n      \"input\": {},\n      \"output\": {}\n    }\n  },\n  \"multi_agent\": {\n    \"enabled\": true,\n    \"max_concurrent_subagents\": 123\n  },\n  \"parallel_tool_calls\": true,\n  \"previous_response_id\": \"<string>\",\n  \"prompt\": {\n    \"id\": \"<string>\",\n    \"variables\": {},\n    \"version\": \"<string>\"\n  },\n  \"prompt_cache_key\": \"<string>\",\n  \"prompt_cache_options\": {\n    \"comparison_response_id\": \"<string>\",\n    \"prewarm\": true\n  },\n  \"reasoning\": {\n    \"mode\": \"<string>\"\n  },\n  \"safety_identifier\": \"<string>\",\n  \"store\": true,\n  \"stream\": true,\n  \"stream_options\": {\n    \"include_obfuscation\": true\n  },\n  \"temperature\": 123,\n  \"text\": {\n    \"format\": {\n      \"type\": \"text\"\n    }\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\"\n    }\n  ],\n  \"top_logprobs\": 123,\n  \"top_p\": 123,\n  \"user\": \"<string>\"\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.example.com/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"access_programs\": {},\n  \"background\": true,\n  \"context_management\": [\n    {\n      \"type\": \"<string>\",\n      \"compact_threshold\": 123\n    }\n  ],\n  \"conversation\": \"<string>\",\n  \"include\": [],\n  \"input\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"max_tool_calls\": 123,\n  \"metadata\": {},\n  \"model\": \"<string>\",\n  \"moderation\": {\n    \"model\": \"<string>\",\n    \"policy\": {\n      \"input\": {},\n      \"output\": {}\n    }\n  },\n  \"multi_agent\": {\n    \"enabled\": true,\n    \"max_concurrent_subagents\": 123\n  },\n  \"parallel_tool_calls\": true,\n  \"previous_response_id\": \"<string>\",\n  \"prompt\": {\n    \"id\": \"<string>\",\n    \"variables\": {},\n    \"version\": \"<string>\"\n  },\n  \"prompt_cache_key\": \"<string>\",\n  \"prompt_cache_options\": {\n    \"comparison_response_id\": \"<string>\",\n    \"prewarm\": true\n  },\n  \"reasoning\": {\n    \"mode\": \"<string>\"\n  },\n  \"safety_identifier\": \"<string>\",\n  \"store\": true,\n  \"stream\": true,\n  \"stream_options\": {\n    \"include_obfuscation\": true\n  },\n  \"temperature\": 123,\n  \"text\": {\n    \"format\": {\n      \"type\": \"text\"\n    }\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\"\n    }\n  ],\n  \"top_logprobs\": 123,\n  \"top_p\": 123,\n  \"user\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/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  \"access_programs\": {},\n  \"background\": true,\n  \"context_management\": [\n    {\n      \"type\": \"<string>\",\n      \"compact_threshold\": 123\n    }\n  ],\n  \"conversation\": \"<string>\",\n  \"include\": [],\n  \"input\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"max_tool_calls\": 123,\n  \"metadata\": {},\n  \"model\": \"<string>\",\n  \"moderation\": {\n    \"model\": \"<string>\",\n    \"policy\": {\n      \"input\": {},\n      \"output\": {}\n    }\n  },\n  \"multi_agent\": {\n    \"enabled\": true,\n    \"max_concurrent_subagents\": 123\n  },\n  \"parallel_tool_calls\": true,\n  \"previous_response_id\": \"<string>\",\n  \"prompt\": {\n    \"id\": \"<string>\",\n    \"variables\": {},\n    \"version\": \"<string>\"\n  },\n  \"prompt_cache_key\": \"<string>\",\n  \"prompt_cache_options\": {\n    \"comparison_response_id\": \"<string>\",\n    \"prewarm\": true\n  },\n  \"reasoning\": {\n    \"mode\": \"<string>\"\n  },\n  \"safety_identifier\": \"<string>\",\n  \"store\": true,\n  \"stream\": true,\n  \"stream_options\": {\n    \"include_obfuscation\": true\n  },\n  \"temperature\": 123,\n  \"text\": {\n    \"format\": {\n      \"type\": \"text\"\n    }\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\"\n    }\n  ],\n  \"top_logprobs\": 123,\n  \"top_p\": 123,\n  \"user\": \"<string>\"\n}"

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

{
  "created_at": 123,
  "error": {
    "code": "server_error",
    "message": "<string>",
    "misalignment": {
      "detailed_explanation": "<string>",
      "error_type": "<string>",
      "steer": {
        "message": "<string>"
      }
    },
    "param": "<string>",
    "type": "<string>"
  },
  "id": "<string>",
  "incomplete_details": {
    "reason": "max_messages"
  },
  "instructions": "<string>",
  "metadata": {},
  "model": "<string>",
  "object": "response",
  "output": [
    {
      "action": "spawn_agent",
      "arguments": "<string>",
      "call_id": "<string>",
      "id": "<string>",
      "type": "multi_agent_call",
      "agent": {
        "agent_name": "<string>"
      }
    }
  ],
  "parallel_tool_calls": true,
  "temperature": 123,
  "tool_choice": "none",
  "tools": [
    {
      "type": "function"
    }
  ],
  "top_p": 123,
  "access_programs": {
    "cyber": "standard"
  },
  "background": true,
  "completed_at": 123,
  "conversation": {
    "id": "<string>"
  },
  "max_output_tokens": 123,
  "max_tool_calls": 123,
  "moderation": {
    "input": {
      "categories": {},
      "category_applied_input_types": {},
      "category_scores": {},
      "flagged": true,
      "model": "<string>",
      "type": "moderation_result"
    },
    "output": {
      "categories": {},
      "category_applied_input_types": {},
      "category_scores": {},
      "flagged": true,
      "model": "<string>",
      "type": "moderation_result"
    }
  },
  "output_text": "<string>",
  "previous_response_id": "<string>",
  "prompt": {
    "id": "<string>",
    "variables": {},
    "version": "<string>"
  },
  "prompt_cache_diagnostics": {
    "type": "cache_miss"
  },
  "prompt_cache_key": "<string>",
  "prompt_cache_options": {
    "mode": "implicit",
    "ttl": "30m",
    "comparison_response_id": "<string>"
  },
  "prompt_cache_retention": "in_memory",
  "reasoning": {
    "context": "auto",
    "effort": "none",
    "generate_summary": "auto",
    "mode": "<string>",
    "summary": "auto"
  },
  "safety_identifier": "<string>",
  "service_tier": "auto",
  "status": "completed",
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "low"
  },
  "top_logprobs": 123,
  "truncation": "auto",
  "usage": {
    "input_tokens": 123,
    "input_tokens_details": {
      "cache_write_tokens": 123,
      "cached_tokens": 123,
      "cache_write_tokens_details": {
        "ttl_12h_tokens": 123,
        "ttl_30m_tokens": 123
      }
    },
    "output_tokens": 123,
    "output_tokens_details": {
      "reasoning_tokens": 123
    },
    "total_tokens": 123
  },
  "user": "<string>"
}

{
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}