curl --request POST \
  --url https://app.withrealm.com/api/external/alpha/chats \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "agent_id": "agt_1a2b3c",
  "content": "Summarize our Q3 sales performance.",
  "chat_id": "cht_9x8y7z",
  "tool_mode": "ask",
  "data_analysis": true,
  "document_refs": [
    {
      "data_source_id": "ds_kb_main",
      "source_id": "doc_42"
    }
  ],
  "citation_style": "link",
  "output_format": "markdown"
}
'

import requests

url = "https://app.withrealm.com/api/external/alpha/chats"

payload = {
    "agent_id": "agt_1a2b3c",
    "content": "Summarize our Q3 sales performance.",
    "chat_id": "cht_9x8y7z",
    "tool_mode": "ask",
    "data_analysis": True,
    "document_refs": [
        {
            "data_source_id": "ds_kb_main",
            "source_id": "doc_42"
        }
    ],
    "citation_style": "link",
    "output_format": "markdown"
}
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({
    agent_id: 'agt_1a2b3c',
    content: 'Summarize our Q3 sales performance.',
    chat_id: 'cht_9x8y7z',
    tool_mode: 'ask',
    data_analysis: true,
    document_refs: [{data_source_id: 'ds_kb_main', source_id: 'doc_42'}],
    citation_style: 'link',
    output_format: 'markdown'
  })
};

fetch('https://app.withrealm.com/api/external/alpha/chats', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://app.withrealm.com/api/external/alpha/chats"

	payload := strings.NewReader("{\n  \"agent_id\": \"agt_1a2b3c\",\n  \"content\": \"Summarize our Q3 sales performance.\",\n  \"chat_id\": \"cht_9x8y7z\",\n  \"tool_mode\": \"ask\",\n  \"data_analysis\": true,\n  \"document_refs\": [\n    {\n      \"data_source_id\": \"ds_kb_main\",\n      \"source_id\": \"doc_42\"\n    }\n  ],\n  \"citation_style\": \"link\",\n  \"output_format\": \"markdown\"\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))

}

require 'uri'
require 'net/http'

url = URI("https://app.withrealm.com/api/external/alpha/chats")

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  \"agent_id\": \"agt_1a2b3c\",\n  \"content\": \"Summarize our Q3 sales performance.\",\n  \"chat_id\": \"cht_9x8y7z\",\n  \"tool_mode\": \"ask\",\n  \"data_analysis\": true,\n  \"document_refs\": [\n    {\n      \"data_source_id\": \"ds_kb_main\",\n      \"source_id\": \"doc_42\"\n    }\n  ],\n  \"citation_style\": \"link\",\n  \"output_format\": \"markdown\"\n}"

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

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://app.withrealm.com/api/external/alpha/chats",
  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([
    'agent_id' => 'agt_1a2b3c',
    'content' => 'Summarize our Q3 sales performance.',
    'chat_id' => 'cht_9x8y7z',
    'tool_mode' => 'ask',
    'data_analysis' => true,
    'document_refs' => [
        [
                'data_source_id' => 'ds_kb_main',
                'source_id' => 'doc_42'
        ]
    ],
    'citation_style' => 'link',
    'output_format' => 'markdown'
  ]),
  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;
}

{
  "id": "cht_9x8y7z",
  "assistant_id": "agt_1a2b3c",
  "agent_id": "agt_1a2b3c",
  "created": 1730210400000,
  "created_date": "2024-10-29T14:00:00.000Z",
  "content": "Your Q3 revenue grew 12% quarter over quarter.",
  "research_mode": false,
  "output_format": "markdown",
  "status": "completed"
}

{
  "error": "<string>",
  "details": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "generation_in_flight",
  "message": "Another answer is already being generated in this chat. Retry after 8 seconds, or start a new chat.",
  "retry_after_seconds": 8
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}