إنشاء Embeddings

import os from openai import OpenAI client = OpenAI( base_url="https://api.cometapi.com/v1", api_key=os.environ["COMETAPI_KEY"], ) response = client.embeddings.create( model="text-embedding-3-small", input="The food was delicious and the waiter was friendly.", ) print(response.data[0].embedding[:5]) # First 5 dimensions print(f"Dimensions: {len(response.data[0].embedding)}")

{ "object": "list", "data": [ { "object": "embedding", "index": 0, "embedding": [ -0.0021, -0.0491, 0.0209, 0.0314, -0.0453 ] } ], "model": "text-embedding-3-small", "usage": { "prompt_tokens": 2, "total_tokens": 2 } }

التفويضات

Authorization

string

header

مطلوب

Bearer token authentication. Use your CometAPI key.

الجسم

application/json

model

string

مطلوب

The embedding model to use. See the Models page for current embedding model IDs.

مثال:

"text-embedding-3-small"

input

مطلوب

The text to embed. Can be a single string, an array of strings, or an array of token arrays. Each input must not exceed the model's maximum token limit (8,191 tokens for text-embedding-3-* models).

encoding_format

enum<string>

افتراضي:float

The format of the returned embedding vectors. float returns an array of floating-point numbers. base64 returns a base64-encoded string representation, which can reduce response size for large batches.

الخيارات المتاحة:

float,

base64

dimensions

integer

The number of dimensions for the output embedding vector. Only supported by text-embedding-3-* models. Reducing dimensions can lower storage costs while maintaining most of the embedding's utility.

النطاق المطلوب: x >= 1

user

string

A unique identifier for your end-user, which can help monitor and detect abuse.

الاستجابة

200 - application/json

A list of embedding vectors for the input text(s).

object

enum<string>

The object type, always list.

الخيارات المتاحة:

list

مثال:

"list"

data

object[]

An array of embedding objects, one per input text. When multiple inputs are provided, results are returned in the same order as the input.

Show child attributes

model

string

The model used to generate the embeddings.

مثال:

"text-embedding-3-small"

usage

object

Token usage statistics for this request.

Show child attributes

الإشراف على المحتوى

مفاتيح API

التفويضات

الجسم

الاستجابة