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POST
/
v1
/
embeddings
Create embeddings
curl --request POST \
  --url https://aiproxy.infaas-amd-dev.glo1.nscale.com/v1/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json; charset=utf-8' \
  --data '
{
  "dimensions": null,
  "encoding_format": "float",
  "input": "The food was delicious and the waiter was very friendly.",
  "model": "Qwen3-Embedding-8B",
  "user": null
}
'
{
  "object": "<string>",
  "data": [
    {
      "object": "<string>",
      "index": 123,
      "embedding": [
        123
      ]
    }
  ],
  "model": "<string>",
  "usage": {
    "prompt_tokens": 123,
    "total_tokens": 123
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.nscale.com/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Security scheme that accepts Unikorn Identity JWTs.

Body

application/json; charset=utf-8
​
model
string
required
​
input
any
required
​
encoding_format
string
default:float
​
dimensions
integer<int32>
​
user
string

Response

​
object
string
required
​
data
EmbeddingObject · object[]
required
​
model
string
required
​
usage
EmbeddingUsage · object
required