OpenAI Format

Convert text to vector embeddings.

Try It

POST/v1/embeddingshttps://api-platform.ope.ai

Authentication

Uses Bearer Token authentication.

• Header: Authorization: Bearer <token>
• Example: Authorization: Bearer sk-xxxxxx

Request body (application/json)

Field	Type	Required	Description	Default / Range
model	string	Yes	Model ID	-
input	string | array<string>	Yes	Text to embed	-
encoding_format	string	No	Output encoding	Default "float"; "float" | "base64"

Request examples

The domain below is an example: https://api-platform.ope.ai.

cURL

curl -X POST "https://api-platform.ope.ai/v1/embeddings" \
  -H "Authorization: Bearer $OPEAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bge-m3",
    "input": "hello"
  }'

JavaScript

const url = "https://api-platform.ope.ai/v1/embeddings";
const apiKey = process.env.OPEAI_API_KEY;

const res = await fetch(url, {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "bge-m3",
    input: "hello",
  }),
});

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

Go

package main

import (
  "bytes"
  "fmt"
  "net/http"
  "os"
)

func main() {
  body := []byte(`{"model":"bge-m3","input":"hello"}`)
  req, _ := http.NewRequest("POST", "https://api-platform.ope.ai/v1/embeddings", bytes.NewBuffer(body))
  req.Header.Set("Authorization", "Bearer "+os.Getenv("OPEAI_API_KEY"))
  req.Header.Set("Content-Type", "application/json")

  resp, err := http.DefaultClient.Do(req)
  if err != nil {
    panic(err)
  }
  defer resp.Body.Close()
  fmt.Println(resp.Status)
}

Python

import os
import requests

resp = requests.post(
  "https://api-platform.ope.ai/v1/embeddings",
  headers={
    "Authorization": f"Bearer {os.environ.get('OPEAI_API_KEY')}",
    "Content-Type": "application/json",
  },
  json={"model": "bge-m3", "input": "hello"},
  timeout=60,
)

print(resp.json())

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
  public static void main(String[] args) throws Exception {
    String apiKey = System.getenv("OPEAI_API_KEY");
    String url = "https://api-platform.ope.ai/v1/embeddings";

    String json = """
      { "model": "bge-m3", "input": "hello" }
      """;

    HttpRequest request = HttpRequest.newBuilder()
      .uri(URI.create(url))
      .header("Authorization", "Bearer " + apiKey)
      .header("Content-Type", "application/json")
      .POST(HttpRequest.BodyPublishers.ofString(json))
      .build();

    HttpClient client = HttpClient.newHttpClient();
    HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
    System.out.println(response.statusCode());
    System.out.println(response.body());
  }
}

C#

using System;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;

public class Program
{
  public static async Task Main()
  {
    var apiKey = Environment.GetEnvironmentVariable("OPEAI_API_KEY");
    var url = "https://api-platform.ope.ai/v1/embeddings";

    var json = """
    { "model": "bge-m3", "input": "hello" }
    """;

    using var http = new HttpClient();
    http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
    var content = new StringContent(json, Encoding.UTF8, "application/json");

    var resp = await http.PostAsync(url, content);
    Console.WriteLine((int)resp.StatusCode);
    Console.WriteLine(await resp.Content.ReadAsStringAsync());
  }
}

Response example (200)

{
  "object": "list",
  "model": "bge-m3",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        -0.032024823129177094,
        0.05963248014450073,
        ...
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 4,
    "completion_tokens": 1024,
    "total_tokens": 1028,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "text_tokens": 0,
      "audio_tokens": 0,
      "image_tokens": 0
    },
    "completion_tokens_details": {
      "text_tokens": 0,
      "audio_tokens": 0
    }
  }
}