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

# Basic OpenAI Demo

> Minimal ICRL run with OpenAI — the fastest way to verify your setup

## Overview

The basic OpenAI demo is the smallest possible ICRL example. It uses a trivial environment that succeeds after one action, runs a single training episode, and prints the result. Use it to confirm your API key and environment are working.

## Prerequisites

* `OPENAI_API_KEY` set in your environment
* Python 3.12+
* `icrl-py` installed

## Run

```bash theme={null}
uv run python examples/basic_openai_demo.py
```

Optional model override (default is `gpt-4o-mini`):

```bash theme={null}
MODEL=gpt-4o-mini uv run python examples/basic_openai_demo.py
```

## What It Does

1. Creates a `MinimalEnvironment` that accepts any action and returns success
2. Creates an `Agent` with `LiteLLMProvider` and basic prompts
3. Runs one `agent.train()` call with goal `"Demonstrate one minimal training run"`
4. Prints model, success status, and step count

## Expected Output

```
Model: gpt-4o-mini
Success: True
Steps: 1
```

## Source

`examples/basic_openai_demo.py` — about 60 lines, including the minimal environment definition.