API reference

Text embedding (OpenAI compatible)

Generate text vector embeddings. Select upstream via model (such as OpenAI text-embedding-3-small or Gemini embedding model). OpenAI official documentation: https://platform.openai.com/docs/api-reference/embeddings

POST/v1/embeddings

Body Parametersapplication/json

dimensions integer

Vector dimensions

input* string

Input content

model* string

Model name / model ID

Responses

200 OK application/json

response-200 object

properties

data array

Data payload (often Base64 or a structured object)

model string

Model name / model ID

object string

Object type identifier, e.g. chat.completion

usage object

Token usage statistics

400 Bad request or validation failed application/json

response-400 object

properties

error* object

401 Missing or invalid API Key application/json

response-401 object

Request Body Example

2"input": "The food was delicious and the waiter was friendly.",

3"model": "text-embedding-3-small"

Code Sample cURL

1curl -X POST "https://api.digislash.com/v1/embeddings" \

2-H "Authorization: Bearer <API Key>" \

3-H "Content-Type: application/json" \

4-d '{

5"input": "The food was delicious and the waiter was friendly.",

6"model": "text-embedding-3-small"

7}'

Response

1▼{

2▼"data": [

3{}

4],

5"model": "string",

6"object": "string",

7"usage": {}