curl --request POST \
  --url https://api.tikway.ai/v1beta/models/google/gemini-embedding-2-preview:embedContent \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "content": {
    "parts": [
      {
        "text": "<string>",
        "inlineData": {},
        "fileData": {},
        "functionCall": {},
        "functionResponse": {}
      }
    ]
  },
  "model": "<string>",
  "outputDimensionality": 2,
  "taskType": "<string>",
  "title": "<string>"
}
'

import requests

url = "https://api.tikway.ai/v1beta/models/google/gemini-embedding-2-preview:embedContent"

payload = {
    "content": { "parts": [
            {
                "text": "<string>",
                "inlineData": {},
                "fileData": {},
                "functionCall": {},
                "functionResponse": {}
            }
        ] },
    "model": "<string>",
    "outputDimensionality": 2,
    "taskType": "<string>",
    "title": "<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({
    content: {
      parts: [
        {
          text: '<string>',
          inlineData: {},
          fileData: {},
          functionCall: {},
          functionResponse: {}
        }
      ]
    },
    model: '<string>',
    outputDimensionality: 2,
    taskType: '<string>',
    title: '<string>'
  })
};

fetch('https://api.tikway.ai/v1beta/models/google/gemini-embedding-2-preview:embedContent', 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.tikway.ai/v1beta/models/google/gemini-embedding-2-preview:embedContent",
  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([
    'content' => [
        'parts' => [
                [
                                'text' => '<string>',
                                'inlineData' => [
                                                                
                                ],
                                'fileData' => [
                                                                
                                ],
                                'functionCall' => [
                                                                
                                ],
                                'functionResponse' => [
                                                                
                                ]
                ]
        ]
    ],
    'model' => '<string>',
    'outputDimensionality' => 2,
    'taskType' => '<string>',
    'title' => '<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.tikway.ai/v1beta/models/google/gemini-embedding-2-preview:embedContent"

	payload := strings.NewReader("{\n  \"content\": {\n    \"parts\": [\n      {\n        \"text\": \"<string>\",\n        \"inlineData\": {},\n        \"fileData\": {},\n        \"functionCall\": {},\n        \"functionResponse\": {}\n      }\n    ]\n  },\n  \"model\": \"<string>\",\n  \"outputDimensionality\": 2,\n  \"taskType\": \"<string>\",\n  \"title\": \"<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.tikway.ai/v1beta/models/google/gemini-embedding-2-preview:embedContent")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"content\": {\n    \"parts\": [\n      {\n        \"text\": \"<string>\",\n        \"inlineData\": {},\n        \"fileData\": {},\n        \"functionCall\": {},\n        \"functionResponse\": {}\n      }\n    ]\n  },\n  \"model\": \"<string>\",\n  \"outputDimensionality\": 2,\n  \"taskType\": \"<string>\",\n  \"title\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tikway.ai/v1beta/models/google/gemini-embedding-2-preview:embedContent")

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  \"content\": {\n    \"parts\": [\n      {\n        \"text\": \"<string>\",\n        \"inlineData\": {},\n        \"fileData\": {},\n        \"functionCall\": {},\n        \"functionResponse\": {}\n      }\n    ]\n  },\n  \"model\": \"<string>\",\n  \"outputDimensionality\": 2,\n  \"taskType\": \"<string>\",\n  \"title\": \"<string>\"\n}"

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

{
  "embedding": {
    "values": [
      123
    ]
  }
}