Gemini Chatbot Kit

Gemini Chatbot Kit is a customizable AI chatbot library built for easy integration of Google's Gemini AI into your applications. Create smart, conversational chatbots with just a few lines of code using this lightweight NPM library.

Features

• 🤖 Pre-configured chatbot templates for different use cases
• ✨ Highly customizable prompts and behaviors
• 🔄 Simple API for managing conversations
• 🛠️ Built-in utilities for common chatbot functions
• ⚡ Optimized for modern JavaScript environments
• 🧩 Supports Custom Roles and Mood Control out of the box
• 🔗 Combined Templates for even richer chatbot personalities

Why Gemini Chatbot Kit?

If you're looking for a Gemini AI chatbot library that's easy to set up, highly customizable, and powerful, Gemini Chatbot Kit is designed for you. Whether you want to create a professional customer service bot, an informative educational tool, or a playful conversational AI, this library provides ready-to-use templates, mood switching, and flexible APIs for rapid development.

Installation

Install the Gemini Chatbot Kit NPM package to start building your Gemini-powered chatbots:

npm i gemini-chatbot-kit

Usage

Example of using Gemini Chatbot Kit to create a basic AI chatbot.

Quick Start

const { createChatbot } = require("gemini-chatbot-kit");

async function example() {
  // Initialize with your Gemini API key
  const chatbot = createChatbot("YOUR_GEMINI_API_KEY");

  // Send a message and get a response
  const response = await chatbot.sendMessage("Hello, how can you help me?");
  console.log("Bot:", response);
}

example();

Using Templates

The Gemini Chatbot Kit supports pre-configured templates for common scenarios:

const { createChatbot, templates } = require("gemini-chatbot-kit");

async function example() {
  const chatbot = createChatbot("YOUR_GEMINI_API_KEY");

    // Method 1: Apply templates individually with categories
    // Apply "sales" role template
    chatbot.applyTemplate('sales', 'roles');
    // Then apply "formal" mood template
    chatbot.applyTemplate('formal', 'moods');

    // Method 2: Or use the new combineTemplates method to apply multiple templates at once
    /*
    chatbot.combineTemplates([
      { name: 'sales', category: 'roles' },
      { name: 'formal', category: 'moods' }
    ]);
    */


  // Send a message
  const response = await chatbot.sendMessage("I need help with my order");
  console.log("Bot:", response);
}

API Reference

createChatbot(apiKey, options)

chatbot.sendMessage(message, options)

Sends a user message and returns the chatbot's reply.

chatbot.resetChat()

Resets the ongoing conversation history.

chatbot.setSystemPrompt(prompt)

Updates the system prompt.

chatbot.applyTemplate(templateName, category, customizations)

Applies a pre-defined template from a specific category with optional customizations.

chatbot.combineTemplates(templates)

Applies multiple templates at once, combining their effects.

chatbot.getConfig()

Returns the current configuration.

chatbot.getHistory()

Returns the conversation history.

chatbot.addTemplates(templates, category)

Add your own custom templates to a specific category.

Supported Models

Temperature Range

[!TIP] Recommended range: 0.2 to 0.8

Max Output Tokens Range

• Minimum: 200 tokens
• Maximum: 500 tokens

  [!TIP] More tokens = longer, more detailed answers.

🧑‍💼 Available Roles

🎭 Available Moods

Example: Applying Role and Mood Together

// Set chatbot to "Sales" tone
chatbot.applyTemplate('sales', 'roles');
// Then apply "Formal" mood
chatbot.applyTemplate('formal', 'moods');

// Or use combineTemplates to apply both at once
chatbot.combineTemplates([
  { name: 'sales', category: 'roles' },
  { name: 'formal', category: 'moods' }
]);

[!NOTE] Applying a new template in the same category will override the previous one. Using combineTemplates() allows you to combine effects from different categories.

How to Create a Custom Combined Template

chatbot.addTemplates({
  productSupport: {
    systemPrompt: "You are a product support specialist for XYZ product.",
    temperature: 0.5,
    maxOutputTokens: 768,
  }
}, 'custom');

// Apply your custom template
chatbot.applyTemplate('productSupport', 'custom');

🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

📚 Related Keywords

gemini chatbot | AI chatbot library | Gemini chatbot kit | Google's Gemini chatbot | Gemini AI integration | customizable chatbot NPM package | chatbot development Node.js