Text Embedding 3 Small API

Quickstart

Embeddings use the OpenAI-compatible /v1/embeddings endpoint. Batch multiple texts in one request (input as an array) for cost efficiency.

bashcurl https://api.skillboss.co/v1/embeddings \
  -H "Authorization: Bearer $SKILLBOSS_WHOLESALE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/text-embedding-3-small",
    "input": "The quick brown fox jumps over the lazy dog"
  }'

Your first 200 response is the fastest way to confirm setup. From there, swap in your real prompt and tune the model-specific parameters listed below.

Authentication

Every request must include your wholesale key. The header name depends on the endpoint — match the SDK you're using:

bashAuthorization: Bearer $SKILLBOSS_WHOLESALE_KEY

Treat the wholesale key like a password — never commit it to source control or ship it in client-side bundles. Rotate from the wholesale dashboard if exposed. Standard (non-wholesale) console keys are rejected at the gateway with 401.

Code examples

pythonimport os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["SKILLBOSS_WHOLESALE_KEY"],
    base_url="https://api.skillboss.co/v1",
)

resp = client.embeddings.create(
    model="openai/text-embedding-3-small",
    input="The quick brown fox jumps over the lazy dog",
)
print(len(resp.data[0].embedding), "dims")

typescriptimport OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.SKILLBOSS_WHOLESALE_KEY,
  baseURL: "https://api.skillboss.co/v1",
});

const resp = await client.embeddings.create({
  model: "openai/text-embedding-3-small",
  input: "The quick brown fox jumps over the lazy dog",
});

console.log(resp.data[0].embedding.length, "dims");

Parameters

OpenAI-compatible embeddings parameters. input can be a single string or an array of strings for batch embedding in one request.

Endpoint

Errors

The API uses standard HTTP status codes:

Pricing