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Regolo AI is fully compatible with the OpenAI API, so you can use any OpenAI-compatible client library. Below are setup instructions for the most popular options.

Python

The official Regolo Python client provides a simple, Pythonic interface.

pip install regolo

import regolo

regolo.default_key = "YOUR_API_KEY"
regolo.default_chat_model = "Llama-3.3-70B-Instruct"

# Simple completion
response = regolo.static_chat_completions(
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response)

# Using RegoloClient for chat sessions
client = regolo.RegoloClient()
client.add_prompt_to_chat(role="user", prompt="Tell me a joke")
role, content = client.run_chat()
print(content)

Using OpenAI Client

You can also use the official OpenAI Python library:

pip install openai

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.regolo.ai/v1"
)

response = client.chat.completions.create(
    model="Llama-3.3-70B-Instruct",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

Node.js

Use the official OpenAI Node.js library:

npm install openai

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: 'YOUR_API_KEY',
    baseURL: 'https://api.regolo.ai/v1'
});

async function main() {
    const response = await client.chat.completions.create({
        model: 'Llama-3.3-70B-Instruct',
        messages: [{ role: 'user', content: 'Hello!' }]
    });
    console.log(response.choices[0].message.content);
}

main();

With Streaming

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: 'YOUR_API_KEY',
    baseURL: 'https://api.regolo.ai/v1'
});

async function streamResponse() {
    const stream = await client.chat.completions.create({
        model: 'Llama-3.3-70B-Instruct',
        messages: [{ role: 'user', content: 'Tell me a story' }],
        stream: true
    });

    for await (const chunk of stream) {
        process.stdout.write(chunk.choices[0]?.delta?.content || '');
    }
}

streamResponse();

cURL

For quick testing or shell scripts, use cURL directly:

curl -X POST https://api.regolo.ai/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -d '{
        "model": "Llama-3.3-70B-Instruct",
        "messages": [{"role": "user", "content": "Hello!"}]
    }'

With jq for Pretty Output

curl -s -X POST https://api.regolo.ai/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -d '{
        "model": "Llama-3.3-70B-Instruct",
        "messages": [{"role": "user", "content": "Hello!"}]
    }' | jq '.choices[0].message.content'

Other Languages

Since Regolo AI is OpenAI-compatible, you can use any OpenAI client library by changing the base URL to https://api.regolo.ai/v1:

Environment Variables

For security, store your API key in environment variables:

export REGOLO_API_KEY="your-api-key"

$env:REGOLO_API_KEY = "your-api-key"

Then access it in your code:

import os
import regolo

regolo.default_key = os.environ.get("REGOLO_API_KEY")

const client = new OpenAI({
    apiKey: process.env.REGOLO_API_KEY,
    baseURL: 'https://api.regolo.ai/v1'
});