curl --request POST \
  --url https://api.lmnr.ai/v1/signals \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "prompt": "<string>",
  "structuredOutput": {},
  "sampleRate": 48,
  "disabled": true,
  "trigger": {
    "type": "rootSpanFinished"
  },
  "filters": [
    {
      "value": "<unknown>"
    }
  ],
  "llmProfileId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "model": "<string>"
}
'

import requests

url = "https://api.lmnr.ai/v1/signals"

payload = {
    "name": "<string>",
    "prompt": "<string>",
    "structuredOutput": {},
    "sampleRate": 48,
    "disabled": True,
    "trigger": { "type": "rootSpanFinished" },
    "filters": [{ "value": "<unknown>" }],
    "llmProfileId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "model": "<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({
    name: '<string>',
    prompt: '<string>',
    structuredOutput: {},
    sampleRate: 48,
    disabled: true,
    trigger: {type: 'rootSpanFinished'},
    filters: [{value: '<unknown>'}],
    llmProfileId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    model: '<string>'
  })
};

fetch('https://api.lmnr.ai/v1/signals', 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.lmnr.ai/v1/signals",
  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([
    'name' => '<string>',
    'prompt' => '<string>',
    'structuredOutput' => [
        
    ],
    'sampleRate' => 48,
    'disabled' => true,
    'trigger' => [
        'type' => 'rootSpanFinished'
    ],
    'filters' => [
        [
                'value' => '<unknown>'
        ]
    ],
    'llmProfileId' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'model' => '<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.lmnr.ai/v1/signals"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"structuredOutput\": {},\n  \"sampleRate\": 48,\n  \"disabled\": true,\n  \"trigger\": {\n    \"type\": \"rootSpanFinished\"\n  },\n  \"filters\": [\n    {\n      \"value\": \"<unknown>\"\n    }\n  ],\n  \"llmProfileId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model\": \"<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.lmnr.ai/v1/signals")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"structuredOutput\": {},\n  \"sampleRate\": 48,\n  \"disabled\": true,\n  \"trigger\": {\n    \"type\": \"rootSpanFinished\"\n  },\n  \"filters\": [\n    {\n      \"value\": \"<unknown>\"\n    }\n  ],\n  \"llmProfileId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.lmnr.ai/v1/signals")

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  \"name\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"structuredOutput\": {},\n  \"sampleRate\": 48,\n  \"disabled\": true,\n  \"trigger\": {\n    \"type\": \"rootSpanFinished\"\n  },\n  \"filters\": [\n    {\n      \"value\": \"<unknown>\"\n    }\n  ],\n  \"llmProfileId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model\": \"<string>\"\n}"

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

{
  "name": "<string>",
  "prompt": "<string>",
  "structuredOutput": {},
  "sampleRate": 48,
  "disabled": true,
  "trigger": {
    "type": "rootSpanFinished"
  },
  "filters": [
    {
      "column": "total_token_count",
      "operator": "eq",
      "value": "<unknown>"
    }
  ],
  "mode": "batch",
  "llmProfileId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "model": "<string>",
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "projectId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "createdAt": "2023-11-07T05:31:56Z",
  "version": 2,
  "llmProfileName": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}