Integrate OpenAI ChatGPT with secure API key management and comprehensive documentation

[Copilot]

Overview

This PR adds complete OpenAI ChatGPT integration to the Web3AI repository, enabling AI-powered conversations with a focus on Web3 and blockchain technology. The integration follows security best practices and is optimized for OpenAI Pro accounts.

What's New

🤖 ChatGPT Service Module (chatgpt.js)

• ChatGPTService class with OpenAI SDK v6.1.0 integration
• Two interaction modes:
  • chat() - Complete responses with token usage tracking
  • streamChat() - Real-time streaming responses for better UX
• Customizable options:
  • Model selection (GPT-4, GPT-4-turbo, GPT-3.5-turbo)
  • Temperature control (creativity/determinism)
  • Token limits
  • Custom system prompts
• Default GPT-4 model for Pro account capabilities
• Web3/blockchain specialized default system prompt
• Robust error handling with informative messages

🚀 Demo Application (index.js)

Demonstrates three key use cases:

1. Simple Web3 question with default settings
2. Custom model parameters (temperature, max tokens)
3. Streaming response for real-time output

🔐 Security Implementation

• Environment variables for API key management using dotenv
• .env.example template with clear instructions
• .gitignore updated to exclude:
  • .env (protects API keys)
  • node_modules/ (dependencies)
  • Log files
• API key validation on service initialization
• Zero hardcoded credentials in source code

📖 Comprehensive Documentation

• Prerequisites (Node.js v18+, OpenAI API key)
• Step-by-step setup instructions
• API key acquisition guide with direct links
• Usage examples (simple, custom, streaming)
• API reference with parameter descriptions
• Security best practices prominently featured
• Model information and recommendations

Usage Example

import ChatGPTService from './chatgpt.js';

const chatGPT = new ChatGPTService();

// Simple chat
const response = await chatGPT.chat('What is Web3?');
console.log(response.message);

// Streaming response
const stream = await chatGPT.streamChat('Explain smart contracts');
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
}

Quick Start

npm install
cp .env.example .env
# Add your OpenAI API key to .env
npm start

Security Features

✅ API keys stored in environment variables only
✅ .env excluded from version control
✅ Validation prevents execution without API key
✅ Clear security warnings in documentation
✅ No sensitive data in committed code

Pro Account Optimization

• Default GPT-4 model for advanced capabilities
• Support for latest OpenAI features and models
• Optimized for higher rate limits
• Documentation highlights Pro account benefits

Files Changed

• Created: package.json, chatgpt.js, index.js, .env.example, INTEGRATION_SUMMARY.md
• Modified: README.md (comprehensive docs), .gitignore (security)

This integration provides a production-ready foundation for AI-powered Web3 applications with enterprise-grade security practices.

Original prompt

Integrate OpenAI's ChatGPT into the Web3AI repository. This includes setting up an .env file with a placeholder for the OPENAI_API_KEY, updating the codebase to use the OpenAI API for ChatGPT functionalities, and modifying the README.md file to include instructions for setting up the API key and prerequisites. Ensure that API keys are securely handled using environment variables. This integration should utilize your OpenAI Pro account to enable advanced capabilities.

*This pull request was created as a result of the following prompt from Copilot chat.* > Integrate OpenAI's ChatGPT into the Web3AI repository. This includes setting up an `.env` file with a placeholder for the `OPENAI_API_KEY`, updating the codebase to use the OpenAI API for ChatGPT functionalities, and modifying the `README.md` file to include instructions for setting up the API key and prerequisites. Ensure that API keys are securely handled using environment variables. This integration should utilize your OpenAI Pro account to enable advanced capabilities.

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[lippytm]

Thank you now I need to learn how to apply all of the code!