curl --request POST \
  --url https://api-prod.interactly.ai/workflows/v1/llm-configs/{llm_config_id}/test \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "system_prompt": "<string>",
  "messages": [
    {
      "content": "<string>",
      "role": "human"
    }
  ],
  "config": {
    "logical_id": "<string>",
    "named_llm_config_id": "<string>",
    "named_llm_config_name": "<string>",
    "provider": "azure_openai",
    "streaming": false,
    "max_retries": 3,
    "max_parse_retries": 3,
    "max_tokens": 123,
    "temperature": 0.5,
    "request_timeout_ms": 123,
    "seed": 123,
    "model_kwargs": {},
    "api_key": "<string>",
    "do_not_split_sentences": false,
    "truncated_max_recent_messages": 123,
    "model": "gpt-5-mini",
    "type": "azure_openai_llm",
    "endpoint": "<string>",
    "api_version": "<string>",
    "reasoning_effort": "low"
  }
}
'

import requests

url = "https://api-prod.interactly.ai/workflows/v1/llm-configs/{llm_config_id}/test"

payload = {
    "system_prompt": "<string>",
    "messages": [
        {
            "content": "<string>",
            "role": "human"
        }
    ],
    "config": {
        "logical_id": "<string>",
        "named_llm_config_id": "<string>",
        "named_llm_config_name": "<string>",
        "provider": "azure_openai",
        "streaming": False,
        "max_retries": 3,
        "max_parse_retries": 3,
        "max_tokens": 123,
        "temperature": 0.5,
        "request_timeout_ms": 123,
        "seed": 123,
        "model_kwargs": {},
        "api_key": "<string>",
        "do_not_split_sentences": False,
        "truncated_max_recent_messages": 123,
        "model": "gpt-5-mini",
        "type": "azure_openai_llm",
        "endpoint": "<string>",
        "api_version": "<string>",
        "reasoning_effort": "low"
    }
}
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({
    system_prompt: '<string>',
    messages: [{content: '<string>', role: 'human'}],
    config: {
      logical_id: '<string>',
      named_llm_config_id: '<string>',
      named_llm_config_name: '<string>',
      provider: 'azure_openai',
      streaming: false,
      max_retries: 3,
      max_parse_retries: 3,
      max_tokens: 123,
      temperature: 0.5,
      request_timeout_ms: 123,
      seed: 123,
      model_kwargs: {},
      api_key: '<string>',
      do_not_split_sentences: false,
      truncated_max_recent_messages: 123,
      model: 'gpt-5-mini',
      type: 'azure_openai_llm',
      endpoint: '<string>',
      api_version: '<string>',
      reasoning_effort: 'low'
    }
  })
};

fetch('https://api-prod.interactly.ai/workflows/v1/llm-configs/{llm_config_id}/test', 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-prod.interactly.ai/workflows/v1/llm-configs/{llm_config_id}/test",
  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([
    'system_prompt' => '<string>',
    'messages' => [
        [
                'content' => '<string>',
                'role' => 'human'
        ]
    ],
    'config' => [
        'logical_id' => '<string>',
        'named_llm_config_id' => '<string>',
        'named_llm_config_name' => '<string>',
        'provider' => 'azure_openai',
        'streaming' => false,
        'max_retries' => 3,
        'max_parse_retries' => 3,
        'max_tokens' => 123,
        'temperature' => 0.5,
        'request_timeout_ms' => 123,
        'seed' => 123,
        'model_kwargs' => [
                
        ],
        'api_key' => '<string>',
        'do_not_split_sentences' => false,
        'truncated_max_recent_messages' => 123,
        'model' => 'gpt-5-mini',
        'type' => 'azure_openai_llm',
        'endpoint' => '<string>',
        'api_version' => '<string>',
        'reasoning_effort' => 'low'
    ]
  ]),
  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-prod.interactly.ai/workflows/v1/llm-configs/{llm_config_id}/test"

	payload := strings.NewReader("{\n  \"system_prompt\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"role\": \"human\"\n    }\n  ],\n  \"config\": {\n    \"logical_id\": \"<string>\",\n    \"named_llm_config_id\": \"<string>\",\n    \"named_llm_config_name\": \"<string>\",\n    \"provider\": \"azure_openai\",\n    \"streaming\": false,\n    \"max_retries\": 3,\n    \"max_parse_retries\": 3,\n    \"max_tokens\": 123,\n    \"temperature\": 0.5,\n    \"request_timeout_ms\": 123,\n    \"seed\": 123,\n    \"model_kwargs\": {},\n    \"api_key\": \"<string>\",\n    \"do_not_split_sentences\": false,\n    \"truncated_max_recent_messages\": 123,\n    \"model\": \"gpt-5-mini\",\n    \"type\": \"azure_openai_llm\",\n    \"endpoint\": \"<string>\",\n    \"api_version\": \"<string>\",\n    \"reasoning_effort\": \"low\"\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-prod.interactly.ai/workflows/v1/llm-configs/{llm_config_id}/test")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"system_prompt\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"role\": \"human\"\n    }\n  ],\n  \"config\": {\n    \"logical_id\": \"<string>\",\n    \"named_llm_config_id\": \"<string>\",\n    \"named_llm_config_name\": \"<string>\",\n    \"provider\": \"azure_openai\",\n    \"streaming\": false,\n    \"max_retries\": 3,\n    \"max_parse_retries\": 3,\n    \"max_tokens\": 123,\n    \"temperature\": 0.5,\n    \"request_timeout_ms\": 123,\n    \"seed\": 123,\n    \"model_kwargs\": {},\n    \"api_key\": \"<string>\",\n    \"do_not_split_sentences\": false,\n    \"truncated_max_recent_messages\": 123,\n    \"model\": \"gpt-5-mini\",\n    \"type\": \"azure_openai_llm\",\n    \"endpoint\": \"<string>\",\n    \"api_version\": \"<string>\",\n    \"reasoning_effort\": \"low\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api-prod.interactly.ai/workflows/v1/llm-configs/{llm_config_id}/test")

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  \"system_prompt\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"role\": \"human\"\n    }\n  ],\n  \"config\": {\n    \"logical_id\": \"<string>\",\n    \"named_llm_config_id\": \"<string>\",\n    \"named_llm_config_name\": \"<string>\",\n    \"provider\": \"azure_openai\",\n    \"streaming\": false,\n    \"max_retries\": 3,\n    \"max_parse_retries\": 3,\n    \"max_tokens\": 123,\n    \"temperature\": 0.5,\n    \"request_timeout_ms\": 123,\n    \"seed\": 123,\n    \"model_kwargs\": {},\n    \"api_key\": \"<string>\",\n    \"do_not_split_sentences\": false,\n    \"truncated_max_recent_messages\": 123,\n    \"model\": \"gpt-5-mini\",\n    \"type\": \"azure_openai_llm\",\n    \"endpoint\": \"<string>\",\n    \"api_version\": \"<string>\",\n    \"reasoning_effort\": \"low\"\n  }\n}"

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

{
  "success": true,
  "response": "<string>",
  "error": "<string>",
  "provider": "<string>",
  "model": "<string>",
  "prompt_tokens": 123,
  "completion_tokens": 123,
  "total_tokens": 123,
  "latency_ms": 123,
  "winning_member": {
    "index": 123,
    "logical_id": "<string>",
    "provider": "<string>",
    "model": "<string>"
  },
  "backchannel_response": "<string>",
  "backchannel_member": {
    "index": 123,
    "logical_id": "<string>",
    "provider": "<string>",
    "model": "<string>"
  },
  "backchannel_prompt_tokens": 123,
  "backchannel_completion_tokens": 123,
  "backchannel_total_tokens": 123
}

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