Create Embeddings

POST /openai/v1/embeddings

Create Embeddings

cURL

curl --request POST \
  --url https://api.myrouter.ai/openai/v1/embeddings \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "input": [
    "<string>"
  ],
  "model": "<string>",
  "encoding_format": "<string>"
}
'

200

{
  "object": "<string>",
  "data": [
    {
      "index": 123,
      "embedding": [
        {}
      ],
      "object": "<string>"
    }
  ],
  "model": "<string>",
  "usage": {
    "prompt_tokens": 123,
    "total_tokens": 123
  }
}

Creates an embedding vector representing the input text.

Request Headers

Content-Type · string · required

Enum: application/json

Authorization · string · required

Bearer authentication format: Bearer {{API Key}}.

Request Body

input · string[] · required

Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or token arrays. The input must not exceed the model’s maximum input tokens (8192 tokens for text-embedding-ada-002), must not be an empty string, and any array must have dimensions less than or equal to 2048.

model · string · required

The model ID to use. Enum:

• baai/bge-m3

encoding_format · string

The format to return the embedding vectors in. Can be float or base64.

Response

object · string · required

Always list.

data · array · required

A list of embedding vectors generated by the model.

Hide properties

index · integer · required

The index of the embedding vector.

embedding · array · required

The embedding vector.

object · string · required

Always embedding.

model · string · required

The model ID used.

usage · object · required

Usage information.

Hide properties

prompt_tokens · integer · required

Number of prompt tokens.

total_tokens · integer · required

Total number of tokens.