curl --request POST \
  --url https://api.trajectory.ai/api/v1/benchmark-ingestion/sessions/{operation_id}/uploads \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "files": [
    {
      "path": "<string>",
      "content_type": "<string>",
      "size_bytes": 123,
      "md5": "<string>",
      "kind": "artifact"
    }
  ]
}
'

import requests

url = "https://api.trajectory.ai/api/v1/benchmark-ingestion/sessions/{operation_id}/uploads"

payload = { "files": [
        {
            "path": "<string>",
            "content_type": "<string>",
            "size_bytes": 123,
            "md5": "<string>",
            "kind": "artifact"
        }
    ] }
headers = {
    "X-API-Key": "<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>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    files: [
      {
        path: '<string>',
        content_type: '<string>',
        size_bytes: 123,
        md5: '<string>',
        kind: 'artifact'
      }
    ]
  })
};

fetch('https://api.trajectory.ai/api/v1/benchmark-ingestion/sessions/{operation_id}/uploads', 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.trajectory.ai/api/v1/benchmark-ingestion/sessions/{operation_id}/uploads",
  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([
    'files' => [
        [
                'path' => '<string>',
                'content_type' => '<string>',
                'size_bytes' => 123,
                'md5' => '<string>',
                'kind' => 'artifact'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-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.trajectory.ai/api/v1/benchmark-ingestion/sessions/{operation_id}/uploads"

	payload := strings.NewReader("{\n  \"files\": [\n    {\n      \"path\": \"<string>\",\n      \"content_type\": \"<string>\",\n      \"size_bytes\": 123,\n      \"md5\": \"<string>\",\n      \"kind\": \"artifact\"\n    }\n  ]\n}")

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

	req.Header.Add("X-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.post("https://api.trajectory.ai/api/v1/benchmark-ingestion/sessions/{operation_id}/uploads")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"files\": [\n    {\n      \"path\": \"<string>\",\n      \"content_type\": \"<string>\",\n      \"size_bytes\": 123,\n      \"md5\": \"<string>\",\n      \"kind\": \"artifact\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.trajectory.ai/api/v1/benchmark-ingestion/sessions/{operation_id}/uploads")

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["Content-Type"] = 'application/json'
request.body = "{\n  \"files\": [\n    {\n      \"path\": \"<string>\",\n      \"content_type\": \"<string>\",\n      \"size_bytes\": 123,\n      \"md5\": \"<string>\",\n      \"kind\": \"artifact\"\n    }\n  ]\n}"

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

{
  "urls": [
    {
      "path": "<string>",
      "url": "<string>",
      "headers": {}
    }
  ]
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "<string>",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {},
    "param": "<string>"
  }
}