Building Chatbots with OpenAI’s GPT

1. Decide the Type of Chatbot

• General-purpose assistant (like ChatGPT)

• Customer support bot (answers FAQs, routes issues)

• Task-oriented bot (booking, scheduling, shopping help)

• Educational bot (teaching or tutoring)

• Creative bot (storytelling, marketing content, games)

2. Set Up OpenAI API

• Create an OpenAI account.

• Generate an API key in your dashboard.

• Install the Python or Node.js SDK:

   

  pip install openai


  or

   

  npm install openai


3. Basic Example (Python)

4. Core Design Choices

• System message → defines the chatbot’s personality/role.

• Message history → keeps track of conversations.

• Context management → decide how much conversation history to pass to GPT.

• Memory (optional) → store user preferences in a database for long-term personalization.

5. Enhancements

• Tools/Plugins: Let the bot call APIs (weather, booking, payments).

• Speech: Integrate with text-to-speech (TTS) and speech-to-text (STT).

• UI: Deploy in:

  • Web (React, Flask/Django, Node.js)

  • Mobile apps

  • WhatsApp/Telegram/Slack bots

• Safety: Add guardrails (content moderation, fallback responses).

• Analytics: Track common user queries to improve.

6. Deployment Options

• Web apps (React + Flask/Django/FastAPI)

• Messaging apps (Telegram Bot API, WhatsApp Business API)

• Customer platforms (Intercom, Zendesk)

• Voice assistants (Twilio for phone bots, Alexa skills)