const revisions = await client.revisions3D.create(4234325345643654, [{ fileId: 8252999965991682 }, { fileId: 6305529564379596 }]);

from cognite.client.data_classes import ThreeDModelRevisionWrite
my_revision = ThreeDModelRevisionWrite(file_id=1)
res = client.three_d.revisions.create(model_id=1, revision=my_revision)

Path fileAOriginal = Paths.get("./src/test/resources/csv-data.txt"); 
List<FileContainer> fileContainerInput = new ArrayList<>(); 
FileMetadata fileMetadata = FileMetadata.newBuilder() 
          .setExternalId("10") 
          .setName("test_file_.test") 
          .setSource("sdk-data-generator") 
          .putMetadata("type", "sdk-data-generator") 
     .build(); 

 FileContainer fileContainer = FileContainer.newBuilder() 
          .setFileMetadata(fileMetadata) 
          .setFileBinary(FileBinary.newBuilder() 
               .setBinaryUri(fileAOriginal.toUri().toString())) 
          .build(); 
 fileContainerInput.add(fileContainer); 

 List<FileMetadata> uploadFileResult = 
          client.files().upload(fileContainerInput); 

ThreeDModelRevision.Camera camera = ThreeDModelRevision.Camera.newBuilder() 
 .addPosition(2.707411050796509).addPosition(-4.514726638793945).addPosition(1.5695604085922241) 
 .addTarget(0.0).addTarget(-0.002374999923631549).addTarget(1.5695604085922241) 
.build(); 
ThreeDModelRevision revision = ThreeDModelRevision.newBuilder() 
 .setFileId(uploadFileResult.get(0).getId()).setCamera(camera).addRotation(new Random().nextInt(100) / 100.0) 
.build(); 
List<ThreeDModelRevision> listUpsert = 
          client.threeD() 
          .models() 
          .revisions() 
          .upsert(10L, List.of(revision)); 

curl --request POST \
  --url https://{cluster}.cognitedata.com/api/v1/projects/{project}/3d/models/{modelId}/revisions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "items": [
    {
      "fileId": 123,
      "published": false,
      "rotation": [
        0,
        0,
        0
      ],
      "scale": [
        1,
        1,
        1
      ],
      "translation": [
        0,
        0,
        0
      ],
      "metadata": {},
      "nonce": "<string>",
      "pipelineConfiguration": {
        "indexingOptions": {
          "extractPhotosphereImages": false,
          "dmsInstancesSpaceId": "<string>"
        },
        "processTilesOptions": {
          "saveAnnotations": true
        }
      }
    }
  ]
}
'

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://{cluster}.cognitedata.com/api/v1/projects/{project}/3d/models/{modelId}/revisions",
  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([
    'items' => [
        [
                'fileId' => 123,
                'published' => false,
                'rotation' => [
                                0,
                                0,
                                0
                ],
                'scale' => [
                                1,
                                1,
                                1
                ],
                'translation' => [
                                0,
                                0,
                                0
                ],
                'metadata' => [
                                
                ],
                'nonce' => '<string>',
                'pipelineConfiguration' => [
                                'indexingOptions' => [
                                                                'extractPhotosphereImages' => false,
                                                                'dmsInstancesSpaceId' => '<string>'
                                ],
                                'processTilesOptions' => [
                                                                'saveAnnotations' => true
                                ]
                ]
        ]
    ]
  ]),
  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://{cluster}.cognitedata.com/api/v1/projects/{project}/3d/models/{modelId}/revisions"

	payload := strings.NewReader("{\n  \"items\": [\n    {\n      \"fileId\": 123,\n      \"published\": false,\n      \"rotation\": [\n        0,\n        0,\n        0\n      ],\n      \"scale\": [\n        1,\n        1,\n        1\n      ],\n      \"translation\": [\n        0,\n        0,\n        0\n      ],\n      \"metadata\": {},\n      \"nonce\": \"<string>\",\n      \"pipelineConfiguration\": {\n        \"indexingOptions\": {\n          \"extractPhotosphereImages\": false,\n          \"dmsInstancesSpaceId\": \"<string>\"\n        },\n        \"processTilesOptions\": {\n          \"saveAnnotations\": true\n        }\n      }\n    }\n  ]\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://{cluster}.cognitedata.com/api/v1/projects/{project}/3d/models/{modelId}/revisions")

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  \"items\": [\n    {\n      \"fileId\": 123,\n      \"published\": false,\n      \"rotation\": [\n        0,\n        0,\n        0\n      ],\n      \"scale\": [\n        1,\n        1,\n        1\n      ],\n      \"translation\": [\n        0,\n        0,\n        0\n      ],\n      \"metadata\": {},\n      \"nonce\": \"<string>\",\n      \"pipelineConfiguration\": {\n        \"indexingOptions\": {\n          \"extractPhotosphereImages\": false,\n          \"dmsInstancesSpaceId\": \"<string>\"\n        },\n        \"processTilesOptions\": {\n          \"saveAnnotations\": true\n        }\n      }\n    }\n  ]\n}"

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

{
  "items": [
    {
      "id": 1000,
      "fileId": 1000,
      "published": false,
      "status": "Done",
      "assetMappingCount": 0,
      "createdTime": 0,
      "rotation": [
        0,
        0,
        0
      ],
      "scale": [
        1,
        1,
        1
      ],
      "translation": [
        0,
        0,
        0
      ],
      "camera": {
        "target": [
          123
        ],
        "position": [
          123
        ]
      },
      "metadata": {},
      "thumbnailThreedFileId": 1000,
      "thumbnailURL": "https://api.cognitedata.com/api/v1/project/myproject/3d/files/1000"
    }
  ]
}

{
  "error": {
    "code": 401,
    "message": "Could not authenticate.",
    "missing": [
      {}
    ],
    "duplicated": [
      {}
    ]
  }
}