POST
/
v1
/
embeddings
Create embedding
curl --request POST \
  --url https://router.requesty.ai/v1/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "input": "<string>",
  "model": "openai/text-embedding-3-small",
  "dimensions": 123,
  "encoding_format": "float",
  "user": "<string>"
}'
{
  "data": [
    {
      "embedding": [
        123
      ],
      "index": 123,
      "object": "<string>"
    }
  ],
  "model": "<string>",
  "object": "<string>",
  "usage": {
    "prompt_tokens": 123,
    "total_tokens": 123
  }
}

Authorizations

​
Authorization
string
header
required

API key for authentication

Body

application/json
​
input
required

Input text to embed, encoded as a string, array of strings, array of tokens, or array of token arrays A single text string to embed

​
model
string
required

The model name to use for embedding generation

Example:

"openai/text-embedding-3-small"

​
dimensions
integer

The number of dimensions the resulting output embeddings should have

​
encoding_format
enum<string>
default:float

The format to return the embeddings in. Can be either float or base64.

Available options:
float,
base64
​
user
string

A unique identifier representing your end-user.

Response

Embedding response

​
data
object[]
required

The list of embeddings generated by the model

​
model
string
required

The name of the model used to generate the embedding

​
object
string
required

The object type, which is always 'list'

​
usage
object
required