curl --request POST \
  --url https://api.avidoai.com/v0/inference-steps \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --header 'x-application-id: <api-key>' \
  --data '
{
  "title": "Moderator",
  "description": "Moderator step for input moderation",
  "type": "LLM",
  "externalId": "input_moderator"
}
'

import requests

url = "https://api.avidoai.com/v0/inference-steps"

payload = {
    "title": "Moderator",
    "description": "Moderator step for input moderation",
    "type": "LLM",
    "externalId": "input_moderator"
}
headers = {
    "x-api-key": "<api-key>",
    "x-application-id": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {
    'x-api-key': '<api-key>',
    'x-application-id': '<api-key>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    title: 'Moderator',
    description: 'Moderator step for input moderation',
    type: 'LLM',
    externalId: 'input_moderator'
  })
};

fetch('https://api.avidoai.com/v0/inference-steps', 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.avidoai.com/v0/inference-steps",
  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([
    'title' => 'Moderator',
    'description' => 'Moderator step for input moderation',
    'type' => 'LLM',
    'externalId' => 'input_moderator'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>",
    "x-application-id: <api-key>"
  ],
]);

$response = curl_exec($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.avidoai.com/v0/inference-steps"

	payload := strings.NewReader("{\n  \"title\": \"Moderator\",\n  \"description\": \"Moderator step for input moderation\",\n  \"type\": \"LLM\",\n  \"externalId\": \"input_moderator\"\n}")

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

	req.Header.Add("x-api-key", "<api-key>")
	req.Header.Add("x-application-id", "<api-key>")
	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.avidoai.com/v0/inference-steps")
  .header("x-api-key", "<api-key>")
  .header("x-application-id", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"title\": \"Moderator\",\n  \"description\": \"Moderator step for input moderation\",\n  \"type\": \"LLM\",\n  \"externalId\": \"input_moderator\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.avidoai.com/v0/inference-steps")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["x-application-id"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"title\": \"Moderator\",\n  \"description\": \"Moderator step for input moderation\",\n  \"type\": \"LLM\",\n  \"externalId\": \"input_moderator\"\n}"

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

{
  "data": {
    "id": "123e4567-e89b-12d3-a456-426614174000",
    "createdAt": "2024-01-05T12:34:56.789Z",
    "modifiedAt": "2024-01-05T12:34:56.789Z",
    "type": "LLM",
    "externalId": "input_moderator",
    "title": "Moderator",
    "description": "Moderator step for input moderation"
  }
}

{
  "message": "Resource not found"
}

{
  "message": "Resource not found"
}

{
  "message": "Resource not found"
}

{
  "message": "Invalid request data",
  "issues": [
    {
      "code": "invalid_string",
      "message": "Invalid UUID",
      "path": [
        "id"
      ]
    }
  ]
}

{
  "message": "Resource not found"
}