curl --request PUT \
  --url https://api.lightsage.com/v2/prompts/targets \
  --header 'Content-Type: application/json' \
  --header 'X-Lightsage-Api-Key: <api-key>' \
  --data '
{
  "targets": [
    {
      "answer_engine": "chatgpt"
    },
    {
      "answer_engine": "perplexity"
    },
    {
      "agent": "claude-code:claude-opus-5-5"
    },
    {
      "agent": "codex:gpt-6-1-sol"
    }
  ],
  "topic_id": "6f1c2a9e-3b7d-4e2a-9c51-0d8e4f7a2b13"
}
'

import requests

url = "https://api.lightsage.com/v2/prompts/targets"

payload = {
    "targets": [{ "answer_engine": "chatgpt" }, { "answer_engine": "perplexity" }, { "agent": "claude-code:claude-opus-5-5" }, { "agent": "codex:gpt-6-1-sol" }],
    "topic_id": "6f1c2a9e-3b7d-4e2a-9c51-0d8e4f7a2b13"
}
headers = {
    "X-Lightsage-Api-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {'X-Lightsage-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    targets: [
      {answer_engine: 'chatgpt'},
      {answer_engine: 'perplexity'},
      {agent: 'claude-code:claude-opus-5-5'},
      {agent: 'codex:gpt-6-1-sol'}
    ],
    topic_id: '6f1c2a9e-3b7d-4e2a-9c51-0d8e4f7a2b13'
  })
};

fetch('https://api.lightsage.com/v2/prompts/targets', 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.lightsage.com/v2/prompts/targets",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'targets' => [
        [
                'answer_engine' => 'chatgpt'
        ],
        [
                'answer_engine' => 'perplexity'
        ],
        [
                'agent' => 'claude-code:claude-opus-5-5'
        ],
        [
                'agent' => 'codex:gpt-6-1-sol'
        ]
    ],
    'topic_id' => '6f1c2a9e-3b7d-4e2a-9c51-0d8e4f7a2b13'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-Lightsage-Api-Key: <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.lightsage.com/v2/prompts/targets"

	payload := strings.NewReader("{\n  \"targets\": [\n    {\n      \"answer_engine\": \"chatgpt\"\n    },\n    {\n      \"answer_engine\": \"perplexity\"\n    },\n    {\n      \"agent\": \"claude-code:claude-opus-5-5\"\n    },\n    {\n      \"agent\": \"codex:gpt-6-1-sol\"\n    }\n  ],\n  \"topic_id\": \"6f1c2a9e-3b7d-4e2a-9c51-0d8e4f7a2b13\"\n}")

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

	req.Header.Add("X-Lightsage-Api-Key", "<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.put("https://api.lightsage.com/v2/prompts/targets")
  .header("X-Lightsage-Api-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"targets\": [\n    {\n      \"answer_engine\": \"chatgpt\"\n    },\n    {\n      \"answer_engine\": \"perplexity\"\n    },\n    {\n      \"agent\": \"claude-code:claude-opus-5-5\"\n    },\n    {\n      \"agent\": \"codex:gpt-6-1-sol\"\n    }\n  ],\n  \"topic_id\": \"6f1c2a9e-3b7d-4e2a-9c51-0d8e4f7a2b13\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.lightsage.com/v2/prompts/targets")

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

request = Net::HTTP::Put.new(url)
request["X-Lightsage-Api-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"targets\": [\n    {\n      \"answer_engine\": \"chatgpt\"\n    },\n    {\n      \"answer_engine\": \"perplexity\"\n    },\n    {\n      \"agent\": \"claude-code:claude-opus-5-5\"\n    },\n    {\n      \"agent\": \"codex:gpt-6-1-sol\"\n    }\n  ],\n  \"topic_id\": \"6f1c2a9e-3b7d-4e2a-9c51-0d8e4f7a2b13\"\n}"

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

{
  "count": 123,
  "updated_prompt_count": 123,
  "data": [
    {
      "id": "<string>",
      "kind": "answer_engine",
      "name": "<string>",
      "frequency": "daily",
      "topic": {
        "id": "<string>",
        "name": "<string>"
      },
      "answer_engine": "<string>",
      "agent": "<string>",
      "next_run_at": "<string>",
      "last_run_at": "<string>"
    }
  ]
}

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