> ## Documentation Index
> Fetch the complete documentation index at: https://docs.inb.cc/llms.txt
> Use this file to discover all available pages before exploring further.

# Your First Request

> Make your first API call in under 5 minutes

# Your First Request

This walkthrough sends a single chat completion, inspects the response, and points you at the most useful next steps. It assumes you already have an API key — if not, follow [Authentication](/quickstart/auth) first.

## Send a request

The endpoint is `POST /v1/chat/completions`. The body is JSON, the auth header is required, and the request is OpenAI-compatible, so any SDK or tutorial that works against `api.openai.com` works here too.

```bash theme={null}
curl https://api.getinfinityblue.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" \
  -d '{"model":"gpt-5.4","messages":[{"role":"system","content":"You are a concise assistant."},{"role":"user","content":"Say hello in one short sentence."}]}'
```

A successful response looks like this:

```json theme={null}
{
  "id": "chatcmpl-9f3a8b2e1c0d",
  "object": "chat.completion",
  "created": 1717430000,
  "model": "gpt-5.4",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 24,
    "completion_tokens": 9,
    "total_tokens": 33
  }
}
```

## Anatomy of the response

<CardGroup cols={2}>
  <Card title="id" icon="fingerprint">
    A unique identifier for this completion. Useful for log correlation, support tickets, and idempotency tracking.
  </Card>

  <Card title="model" icon="microchip">
    The exact upstream model that handled the request. May differ from the alias you sent if the gateway routes to a newer revision.
  </Card>

  <Card title="choices" icon="list">
    An array of one or more completions. The default `n=1` returns a single element. Each entry has a `message` and a `finish_reason` such as `stop`, `length`, or `tool_calls`.
  </Card>

  <Card title="usage" icon="chart-line">
    Token counts for prompt and completion. Use these numbers to estimate cost and to enforce per-request budgets in your application.
  </Card>
</CardGroup>

## Make it interactive

The same request is straightforward from Python or JavaScript:

```python theme={null}
from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://api.getinfinityblue.com/v1")
reply = client.chat.completions.create(
    model="gpt-5.4",
    messages=[{"role": "user", "content": "Say hello in one short sentence."}],
)
print(reply.choices[0].message.content)
```

```javascript theme={null}
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "YOUR_API_KEY", baseURL: "https://api.getinfinityblue.com/v1" });
const reply = await client.chat.completions.create({
  model: "gpt-5.4", messages: [{ role: "user", content: "Say hello in one short sentence." }],
});
console.log(reply.choices[0].message.content);
```

<Info>
  You can keep using the OpenAI SDK, LangChain, LlamaIndex, or any other library that targets the OpenAI HTTP API. Just point the base URL at `https://api.getinfinityblue.com/v1`.
</Info>

## Recommended next steps

* Read [Error Handling](/quickstart/errors) to learn how the gateway reports failures and how to retry safely.
* Try [Streaming](/guides/streaming) to start returning tokens to your UI as soon as they are produced.
* Use [Model Selection](/guides/model-selection) to pick the right model for your latency, cost, and capability constraints.
* Send images alongside text with [Multimodal Input](/guides/multimodal-input).