Kamburga Services

A client library for interacting with the Kamburga API services.

Installation

npm install kamburga-services

Usage

const KamburgaServices = require('kamburga-services');

// Initialize with your API key
const client = new KamburgaServices('your-api-key');

// Example: Chat completion
async function getCompletion() {
  try {
    const response = await client.chat.completions.create({
      messages: [
        { role: 'user', content: 'Hello, how are you?' }
      ],
      model: 'gpt-3.5-turbo',
      max_tokens: 100
    });
    
    console.log(response.choices[0].message.content);
  } catch (error) {
    console.error('Error:', error.message);
  }
}

getCompletion();

Turkish Function Names

The library provides Turkish function names for signature purposes:

const KamburgaServices = require('kamburga-services');
const client = new KamburgaServices('your-api-key');

// Using Turkish function names
async function turkceOrnek() {
  try {
    const yanit = await client.kamburga.tamamlamalar.olustur({
      messages: [
        { role: 'user', content: 'Merhaba, nasilsin?' }
      ],
      model: 'gpt-3.5-turbo',
      max_tokens: 100
    });
    
    console.log(yanit.choices[0].message.content);
  } catch (hata) {
    console.error('Hata:', hata.message);
  }
}

turkceOrnek();

Available Turkish functions:

• client.kamburga.tamamlamalar.olustur() - Create chat completions
• client.kamburga.modeller.listele() - List models
• client.kamburga.modeller.getir() - Retrieve a model
• client.kamburga.sohbetOturumu() - Create a chat session
• client.kamburga.yapilandirma() - Get configuration
• client.kamburga.ornek() - Get examples
• client.kamburga.lisansDogrula() - Validate license

Using Chat Sessions

const KamburgaServices = require('kamburga-services');

// Initialize with your API key
const client = new KamburgaServices('your-api-key');

// Create a chat session
const chatSession = client.createChatSession()
  .withModel('gpt-3.5-turbo')
  .withMaxTokens(150)
  .withTemperature(0.7);

// Add a system message
chatSession.addSystemMessage('You are a helpful assistant.');

// Send a message and get a response
async function chat() {
  try {
    const response = await chatSession.sendMessage('Hello, what can you do?');
    console.log('Assistant:', response);
    
    // Send another message in the same conversation
    const response2 = await chatSession.sendMessage('Tell me more about that.');
    console.log('Assistant:', response2);
  } catch (error) {
    console.error('Error:', error.message);
  }
}

chat();

API Reference

KamburgaServices

Constructor

const client = new KamburgaServices(apiKey, options);

• apiKey (string, required): Your Kamburga API key
• options (object, optional):
  • baseURL (string, optional): Base URL for the API (default: 'http://89.47.113.4:3022/api')

Methods

• validateLicense(): Validate the API key
• getExample(language): Get usage examples for a specific language (python, nodejs, curl)
• getConfig(): Get hosting configuration
• createChatSession(): Create a chat session for maintaining conversation history

Chat API

client.chat.completions.create(options)

• options (object):
  • messages (array, required): Array of messages in the conversation
  • model (string, optional): The model to use (default: 'gpt-3.5-turbo')
  • max_tokens (number, optional): Maximum tokens to generate (default: 100)
  • temperature (number, optional): Sampling temperature (default: 0.7)

Models API

client.models.list()
client.models.retrieve(modelId)

License

MIT