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  1. OpenAI Compatiable Endpoint
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      POST
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      POST
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      POST
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      POST
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  1. OpenAI Compatiable Endpoint

Embeddings

POST
https://api.cometapi.com/v1/embeddings
Maintainer:Not configured

Embeddings API#

This API endpoint allows you to generate embeddings for text using a specific model.

Request Body#

model (string, required): The name of the text embedding model to be used.
input (string, required): The input text for which embeddings need to be generated.

Request

Header Params
Authorization
string 
required
Example:
Bearer {{api-key}}
Body Params application/json
model
string 
required
The ID of the model you want to use. You can use the List models API :https://platform.openai.com/docs/api-reference/models/list to see all available models, or see our model overview: https://platform. openai.com/docs/models/overview for their descriptions.
input
string 
required
Enter text for embedding, encoded as a string or as an array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or an array of tokens. Each input must be no longer than 8192 tokens.
Example
{
    "model": "text-embedding-3-large",
    "input": "The food was delicious and the waiter..."
}

Request samples

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.cometapi.com/v1/embeddings' \
--header 'Authorization: Bearer {{api-key}}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model": "text-embedding-3-large",
    "input": "The food was delicious and the waiter..."
}'

Responses

🟢200Successful Response
application/json
Body
object
string 
required
The type of the top-level object.
data
array [object {3}] 
required
A list containing embedding vector objects. If the input requests more than one text embedding, there will be more than one object in this list.
object
string 
optional
The type of the object within the list,
index
integer 
optional
The index of this embedding vector in the input (if the input is bulk) or output list, starting from 0.
embedding
array[number]
optional
The actual embedding vector.
model
string 
required
The name of the specific model used to generate the embedding vector.
usage
object 
required
The token usage statistics for this request.
prompt_tokens
integer 
required
The number of tokens used by the input text (hints) after it has been split.
total_tokens
integer 
required
The total number of tokens processed for this request.
Example
{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        -0.010992265,
        0.0027546093,
        -0.0057185953,
        -0.008060995,
        0.0006436691,
        0.010560427,
        -0.011234357,
        -0.056165244,
        -0.010501539,
        0.03946747,
        -0.0047600437,
        0.009192936,
        -0.061766066,
        0.07291536,
        -0.0010280713,
        -0.0033140373,
        -0.01228124,
        -0.012333584,
        -0.03643151,
        0.003035959,
        -0.02189293,
        -0.015153623,
        0.058363695,
        -0.016239764,
        0.06134731,
        -0.024497049,
        -0.012516788,
        0.024353104,
        0.037426047,
        0.015323741,
        -0.015572377,
        0.016737033,
        0.038917854,
        -0.004387092,
        -0.024575565,
        0.02037495,
        0.019301895,
        -0.011404475,
        0.06537781,
        0.032453354,
        -0.052291777,
        0.003467798,
        0.014682527,
        -0.01981225,
        -0.032715075,
        -0.057840254,
        0.0075898976,
        0.0053979876,
        -0.041979987,
        -0.009127506,
        0.0129748,
        -0.015075107,
        0.031720538,
        0.013962795,
        -0.009984641,
        0.01961596,
        -0.029495914,
        -0.014499322,
        -0.013321579,
        -0.032872107,
        -0.01000427,
        -0.03972919,
        0.004910533,
        -0.008532092,
        0.023083758,
        0.022036875,
        0.009487372,
        0.05689806,
        -0.011208185,
        0.006356539,
        0.032034602,
        -0.015729409,
        -0.026564643,
        0.004616097,
        0.038472928,
        0.009605146,
        0.027218943,
        -0.027742384,
        0.0059443293,
        0.0050086784,
        0.034835014,
        -0.0026319278,
        -0.029050987,
        -0.0055255764,
        0.0133739235,
        -0.0037884058,
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        -0.03480884,
        0.038813166,
        0.015114365,
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        0.02729746,
        0.015088193,
        0.0073478064,
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        0.014878817,
        0.0050708367,
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        0.0016979125,
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        0.056165244,
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        0.001720813,
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        0.01885697,
        0.012699992,
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        0.0254785,
        0.003647731,
        0.023136102,
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        0.016959496,
        0.026263664,
        0.043000698,
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}
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