Embeddings

POST/v1/embeddings

Convert text or an array of texts into vector representations.

Vector dimensions, batch limits, and optional fields depend on the selected model and Provider. Choose a model with embedding capability from the model catalog.

Core request fields

Field	Type	Required	Description
`model`	string	Yes	An embedding model ID.
`input`	string \| array	Yes	Text or an array of texts to embed.
`encoding_format`	string	No	Output encoding when supported by the model route.
`dimensions`	integer	No	Requested dimensions when supported by the model route.

Request examples

curl https://api.noxgate.net/v1/embeddings \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{"model":"YOUR_MODEL_ID","input":["First document","Second document"]}'

from openai import OpenAI

client = OpenAI(api_key="sk-your-api-key", base_url="https://api.noxgate.net/v1")
response = client.embeddings.create(model="YOUR_MODEL_ID", input=["First document", "Second document"])
print(response.data[0].embedding)

import OpenAI from "openai";

const client = new OpenAI({ apiKey: "sk-your-api-key", baseURL: "https://api.noxgate.net/v1" });
const response = await client.embeddings.create({ model: "YOUR_MODEL_ID", input: ["First document", "Second document"] });
console.log(response.data[0].embedding);

Successful response

{"object":"list","data":[{"object":"embedding","index":0,"embedding":[0.012,-0.031,0.008]}],"model":"YOUR_MODEL_ID","usage":{"prompt_tokens":4,"total_tokens":4}}