EMBEDDINGS

Base-Path:

https://api.hyprlab.io/v1

Embeddings Path:

https://api.hyprlab.io/v1/embeddings

Making Request:

Curl:

curl https://api.hyprlab.io/v1/embeddings \
  -H "Authorization: Bearer $HYPRLAB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": "The food was delicious and the waiter...",
    "model": "mistral-embed",
  }'

Node.js:

import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: "<HYPRLAB_API_KEY>",
  baseURL: "https://api.hyprlab.io/v1",
});

async function main() {
  const embedding = await openai.embeddings.create({
    model: "mistral-embed",
    input: "The quick brown fox jumped over the lazy dog",
  });

  console.log(embedding);
}

main();

Python:

from openai import OpenAI

client = OpenAI(
    api_key="<HYPRLAB_API_KEY>",
    base_url="https://api.hyprlab.io/v1",
)

client.embeddings.create(
  model="mistral-embed",
  input="The food was delicious and the waiter..."
)

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📃 Embeddings Models

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Model Name:	Discount Rate:	Usage:
mistral-embed	80% off	$0.02 / 1M Tokens

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