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POST
/
openai
/
embeddings
Creates an embedding vector representing the input text.
curl --request POST \
  --url https://api.acedata.cloud/openai/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "text-embedding-3-small",
  "input": "<string>"
}
'
{ "object": "list", "data": [ { "object": "embedding", "index": 0, "embedding": [ 0.0023064255, -0.009327292, 0.015271, 0.001234 ] } ], "model": "text-embedding-3-small", "usage": { "prompt_tokens": 9, "total_tokens": 9 }, "created": 1714500000 }

인증

​
Authorization
string
header
필수

API token from https://platform.acedata.cloud

헤더

​
accept
enum<string>

Specifies the format of the response from the server.

사용 가능한 옵션:
application/json

본문

application/json
​
model
enum<string>
필수

ID of the embedding model to use (e.g., text-embedding-3-small, text-embedding-3-large).

사용 가능한 옵션:
text-embedding-3-small,
text-embedding-3-large,
text-embedding-ada-002
​
input
string
필수

Input to embed: a single string, an array of strings, or token arrays.

​
encoding_format
enum<string>
기본값:float

Format of the returned embeddings.

사용 가능한 옵션:
float,
base64
​
dimensions
integer

Optional output embedding size when supported by the model.

필수 범위: x >= 1

응답

Embeddings created successfully.

​
object
enum<string>
필수

Type of the returned object.

사용 가능한 옵션:
list
​
data
object[]
필수
​
model
string
필수

Model used to generate the embeddings.

​
usage
object
필수
​
created
integer
필수

Unix timestamp (seconds) when the embeddings were created.