Overview

The GravixLayer SDK provides comprehensive chat completion capabilities, allowing you to build conversational AI applications with simple, practical examples using CLI, Python, and JavaScript interfaces. Chat completions allow you to:

Generate Responses: Create intelligent responses to user messages
Multi-turn Conversations: Maintain context across conversation turns
Model Selection: Choose from various language models for different use cases
Streaming Support: Get real-time responses as they’re generated

Prerequisites

Before using chat completions, you need to set up your environment: Install the GravixLayer SDK:

pip install gravixlayer

Set your API key as an environment variable:

Windows (CMD)
Windows (PowerShell)
Linux/macOS

set GRAVIXLAYER_API_KEY="your_api_key_here"

$env:GRAVIXLAYER_API_KEY="your_api_key_here"

export GRAVIXLAYER_API_KEY="your_api_key_here"

Your First Request

CLI
Python SDK
JavaScript SDK

gravixlayer chat --model "meta-llama/llama-3.1-8b-instruct" --user "Hello, world!"

Example Output:

Hello! How can I assist you today?

import os
from gravixlayer import GravixLayer

client = GravixLayer()

completion = client.chat.completions.create(
    model="meta-llama/llama-3.1-8b-instruct",
    messages=[{"role": "user", "content": "Hello, world!"}]
)

print(completion.choices[0].message.content)

Example Output:

Hello! How can I assist you today?

import { GravixLayer } from 'gravixlayer';

const client = new GravixLayer();

const completion = await client.chat.completions.create({
  model: "meta-llama/llama-3.1-8b-instruct",
  messages: [{"role": "user", "content": "Hello, world!"}]
});

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

Example Output:

Hello! How can I assist you today?

Getting Started

Core Features

Advanced Usage

Resources

Prerequisites

Your First Request

Getting Started

Core Features

Advanced Usage

Resources

​Prerequisites

​Your First Request

Prerequisites

Your First Request