Quickstart

This page gets you to your first AI request in 5 minutes. All you need is an API key.

What you need

• A Qevron API key (sk-...). If you don't have one, create it from Authentication.
• Optional: Python or Node.js (not needed for curl).

Want a more thorough setup?

This page shows the fastest path. To go from setup to production step by step, with error handling and a prod checklist, see the Integration Guide.

1. Get your API key

Create a key in the Qevron admin dashboard. A key is a string starting with sk-, for example:

sk-aBcD1234eFgH5678...

Keep your key secret

An API key is like a password. Don't put it in source code, screenshots or public repos. Store it in a server environment variable (e.g. QEVRON_API_KEY).

See Authentication for how to create a key.

2. Make your first request

The example below sends a simple question to the verinova model. Replace $QEVRON_API_KEY with your own key.

curl

curl https://app.qevron.ai/v1/chat/completions \
  -H "Authorization: Bearer $QEVRON_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "verinova",
    "messages": [
      { "role": "user", "content": "Hello! Introduce yourself in one sentence." }
    ]
  }'

Python

from openai import OpenAI

client = OpenAI(
    api_key="QEVRON_API_KEY",  # your own key
    base_url="https://app.qevron.ai/v1",
)

resp = client.chat.completions.create(
    model="verinova",
    messages=[
        {"role": "user", "content": "Hello! Introduce yourself in one sentence."},
    ],
)
print(resp.choices[0].message.content)

JavaScript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.QEVRON_API_KEY,
  baseURL: "https://app.qevron.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "verinova",
  messages: [
    { role: "user", content: "Hello! Introduce yourself in one sentence." },
  ],
});
console.log(resp.choices[0].message.content);

3. Read the response

Qevron returns a response in OpenAI format:

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "created": 1716200000,
  "model": "verinova",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! I'm an AI assistant running through Qevron."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 18,
    "completion_tokens": 16,
    "total_tokens": 34
  }
}

The reply text is in choices[0].message.content. The usage field shows how many tokens you spent.

Troubleshooting your first call

Symptom	Likely cause	Fix
401 Unauthorized	Missing/wrong key	Is Authorization: Bearer sk-... correct? Are api_key + base_url set in the SDK?
404 model_not_found	Wrong model name / no access	List available names with /v1/models
Connection error	Wrong base_url	https://app.qevron.ai/v1 (must end with /v1)
429	Rate limit	Wait briefly and retry (see Integration Guide)

What's next?

Authentication

How to create and send keys.

OpenAI Compatibility

Connect your existing code to Qevron.

Streaming

Get responses in real time, piece by piece.

API Reference

All endpoints and parameters.