Embeddings

Endpoint

POST https://api.bve.me/v1/embeddings

Requires Authorization: Bearer sk-bve-YOUR_KEY.

This endpoint proxies directly to Fuelix /embeddings. The request body and response shape follow the OpenAI Embeddings API.

Request body

{
  "model": "text-embedding-3-small",
  "input": "The quick brown fox"
}

Field	Type	Required	Description
model	string	Yes	Embedding model ID
input	string | array	Yes	Text to embed
encoding_format	string	No	float or base64 (default: float)
dimensions	integer	No	Output dimensions (model-dependent)
user	string	No	End-user identifier

Response

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023, -0.0089, 0.0141, ...]
    }
  ],
  "model": "text-embedding-3-small",
  "usage": {
    "prompt_tokens": 6,
    "total_tokens": 6
  }
}

cURL example

curl https://api.bve.me/v1/embeddings \
  -H "Authorization: Bearer sk-bve-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "The quick brown fox"
  }'

OpenAI SDK

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk-bve-YOUR_KEY',
  baseURL: 'https://api.bve.me/v1',
});

const response = await client.embeddings.create({
  model: 'text-embedding-3-small',
  input: 'The quick brown fox',
});

console.log(response.data[0].embedding);

Headers

Header	Description
X-Request-Id	UUID for this request
X-BVE-Latency	Gateway latency in milliseconds