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POST
/api/v1/embeddings
يجب أن يكون input سلسلة نصية أو مصفوفة من السلاسل النصية. تُرفض مصفوفات معرّفات الـ tokens بـ HTTP 400. يجب على OpenAIEmbeddings في LangChain ضبط check_embedding_ctx_length=False.

التفويضات

Authorization
string
header
مطلوب

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

الترويسات

Accept-Encoding
string

Supported compression encodings (gzip, br)

مثال:

"gzip, br"

الجسم

application/json

Create embeddings for the supplied input.

input
مطلوب

Input text to embed, encoded as a string or array of strings. To embed multiple inputs in a single request, pass an array of strings. The input must not exceed the max input tokens for the model (8192 tokens), cannot be an empty string, and any array must contain 2048 items or less. Token arrays are not supported and return HTTP 400. LangChain OpenAIEmbeddings sends token arrays unless you set check_embedding_ctx_length=False.

Minimum string length: 1
مثال:

"The quick brown fox jumped over the lazy dog"

model
مطلوب

ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

مثال:

"text-embedding-bge-m3"

dimensions
integer

The number of dimensions the resulting output embeddings should have.

النطاق المطلوب: x >= 1
encoding_format
enum<string>
افتراضي:float

The format to return the embeddings in. Can be either float or base64.

الخيارات المتاحة:
float,
base64
مثال:

"float"

user
string

This is an unused parameter and is discarded by Venice. It is supported solely for API compatibility with OpenAI.

الاستجابة

OK

data
object[]
مطلوب

The list of embeddings generated by the model.

model
string
مطلوب

The name of the model used to generate the embedding.

object
enum<string>
مطلوب

The object type, which is always "list"

الخيارات المتاحة:
list
usage
object
مطلوب

The usage information for the request.