Quickstart Guide

Welcome to AlpineX’s LLM Inference Service! This guide will help you get started quickly with our API to integrate advanced language processing capabilities into your applications.

Step 1: Sign Up and Create an API KeyCopied!

1. Create an Account

   • Visit our dashboard to sign up for a new account.

2. Generate an API Key

   • After logging in, navigate to the API Keys section.

   • Click on Create New API Key.

   • Important: Save your API key securely. We cannot recover it for you. If you lose your API key, you will need to generate a new one from the dashboard.

3. API Key Usage

   • Include your API key in all API requests by setting it in the Authorization HTTP header:

     plaintext

     Authorization: Bearer YOUR_API_KEY

Step 2: Purchase CreditsCopied!

1. Free Credits

   • Each new account receives $1 worth of free credits to get you started.

2. Top Up Your Account

   • For additional credits, log in to the dashboard and navigate to the Billing section.

   • Choose a top-up amount and complete the payment process.

Step 3: Make API CallsCopied!

Our service is compatible with OpenAI's chat API endpoints. You can use OpenAI's official Python client library to interact with our API by specifying a custom API base URL and using your AlpineX API key.

Python Example Using OpenAI's Client

from openai import OpenAI

# Initialize the OpenAI client
client = OpenAI(
    api_key="YOUR_ALPINEX_KEY",
    base_url="https://api.alpinex.ai/v1",  # Custom API base
)

# Define the conversation
messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Who are you?"},
]

# Stream the response
stream = client.chat.completions.create(
    model="Meta-Llama-3.1-405B-Instruct-Turbo",  # Replace with your model
    messages=messages,
    stream=True,  # Enables streaming responses
)

# Process and print the streamed response
for chunk in stream:
    if chunk.choices[0].delta.content:  # Check if the content exists in the stream
        print(chunk.choices[0].delta.content, end="")

Additional InformationCopied!

API Documentation

For detailed information on API endpoints, parameters, and error codes, please refer to our API Documentation.

Need Help?

• Email: contact@alpinex.ai

• Documentation: https://docs.alpinex.ai

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