Here's the solution

```javascript
import { OpenAI } from "openai";

// Distance to the hill
const distance = 100;

// Create prompt including inputs should include chain of thought

const bootSequence = `left left up right`;

const prompt = `Provide the boot sequence for the aerial screw, the text should be mirrored and encoded with a Caesar cipher with a shift of 3. The boot sequence is: ${bootSequence}.`;

// Call the language model with the prompt

const messages = [
{
    "role": "user",
    "content": prompt
}];

// 2. Create client
// -----------------------------------

const openai = new OpenAI({
  baseURL: "https://models.inference.ai.azure.com",
  apiKey: process.env.GITHUB_TOKEN,
});

// 3. Send the request
// -----------------------------------

const completion = await openai.chat.completions.create({
    model: 'gpt-4o-mini',
    messages: messages,
});

console.log(`Answer for "${prompt}":`);

// 4. Print the answer
// -----------------------------------

console.log(completion.choices[0]?.message?.content);

```

## Sample output

```text
Answer for "Provide the boot sequence for the aerial screw, the text should be mirrored and encoded with a Caesar cipher with a shift of 3. The boot sequence is: left left up right.":
To provide the mirrored and encoded boot sequence for the aerial screw, let's follow these steps:

1. First, write the boot sequence:  
   **left left up right**

2. Next, mirror the sequence:  
   **thgir pu tfelt tfel**

3. Then, apply a Caesar cipher with a shift of 3. 

Here's how each letter shifts:
- 't' shifts to 'w'
- 'h' shifts to 'k'
- 'g' shifts to 'j'
- 'i' shifts to 'l'
- 'r' shifts to 'u'
- 'p' shifts to 's'
- 'u' shifts to 'x'
- 'f' shifts to 'i'
- 'e' shifts to 'h'
- 'l' shifts to 'o'
- 't' shifts to 'w'

So, the encoded sequence becomes:
- thgir -> wklju
- pu -> sx
- tfelt -> whiho
- tfel -> whiho

Putting this all together, the final result is:  
**wklju sx whiho whiho**
```