curl --request POST \
  --url 'https://api.elkapi.com/v1/engines/gemini-3.1-pro-preview/embeddings' \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "gemini-3.1-pro-preview",
  "input": "今天天气真好，适合出去散步。"
}'

import requests

url = "https://api.elkapi.com/v1/engines/gemini-3.1-pro-preview/embeddings"
headers = {
    "Authorization": "Bearer <token>"
}
headers["Content-Type"] = "application/json"
payload = {
    "model": "gemini-3.1-pro-preview",
    "input": "今天天气真好，适合出去散步。"
}

response = requests.request("POST", url, headers=headers, json=payload)
print(response.json())

const url = "https://api.elkapi.com/v1/engines/gemini-3.1-pro-preview/embeddings";

const headers = {
  "Authorization": "Bearer <token>"
};
headers["Content-Type"] = "application/json";
const payload = {
  "model": "gemini-3.1-pro-preview",
  "input": "今天天气真好，适合出去散步。"
};

const response = await fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(payload)
});

console.log(await response.json());

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 1,
      "embedding": [
        1
      ]
    }
  ],
  "model": "gemini-3.1-pro-preview",
  "usage": {
    "prompt_tokens": 1,
    "total_tokens": 1
  }
}