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)

Option	Type	Description
apiKey	String	Your API Key for Gemini model
options.model	String	Model to use (see Supported Models below)
options.temperature	Number	Controls randomness (see Temperature Range)
options.maxOutputTokens	Number	Limits response length (see Max Output Tokens)

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

Model Name	Description
gemini-1.0-pro	Gemini 1.0 Pro model
gemini-1.5-pro	Gemini 1.5 Pro model (default)
gemini-1.5-flash	Gemini 1.5 Flash model

Temperature Range

Value	Behavior
0.0	Very deterministic (focused)
1.0	Very creative (random responses)

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

Role	Description
customerService	Handles customer queries professionally
education	Acts like a teacher/educator
healthcare	Healthcare tone, non-prescriptive
sales	Promotes products or services
technical	Provides tech support & technical advice
ecoAdvisor	Provides advice on sustainable and eco-friendly practices
insurance	Guides users in choosing appropriate insurance policies
investment	Offers investment suggestions based on financial goals
restaurant	Assists users in browsing menus, ordering food, and delivery tracking

🎭 Available Moods

Mood	Description
formal	Professional, polite tone
friendly	Warm, casual, welcoming tone
motivational	Positive, uplifting, encouraging tone
sarcastic	Witty, ironic, teasing tone
humorous	Funny and light-hearted tone
assertive	Direct, confident, and decisive tone
empathetic	Shows understanding, compassion, and emotional support
enthusiastic	High-energy, excited, and passionate tone
informative	Focused on giving clear, detailed information
neutral	Completely objective, balanced, no emotion

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.

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📚 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