Quickstart

Send your first chat completion request in minutes.

Prerequisites

A Pura LLM account with an active API key
Your API key (starts with sk-)
A model ID from the Models catalog (e.g. gpt-4o)

cURL

The simplest way to test the gateway:

bash

curl https://llm.puradigital.it/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "user", "content": "Hello from Pura LLM!"}
    ]
  }'

Python (requests)

Using the requests library without the OpenAI SDK:

python

import requests

response = requests.post(
    "https://llm.puradigital.it/v1/chat/completions",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "gpt-4o",
        "messages": [
            {"role": "user", "content": "Hello from Pura LLM!"}
        ],
    },
)

print(response.json()["choices"][0]["message"]["content"])

Node.js (fetch)

Using the native fetch API:

javascript

const response = await fetch("https://llm.puradigital.it/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-4o",
    messages: [{ role: "user", content: "Hello from Pura LLM!" }],
  }),
});

const data = await response.json();
console.log(data.choices[0].message.content);

Response format

Responses follow the standard OpenAI chat completion schema:

json

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "gpt-4o",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Hello! How can I help you today?"
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 9,
    "total_tokens": 21
  }
}