AI Chatbots Comparison

// Test prompt for reasoning comparison
const reasoningTest = `
A farmer has 15 sheep and all but 8 die. How many are left?
Explain your reasoning step by step.
`;

// Expected performance ranking:
// 1. GPT-4 Turbo: 95% accuracy, detailed reasoning
// 2. Claude 3 Opus: 94% accuracy, thorough explanation  
// 3. Gemini Pro: 92% accuracy, clear steps
// 4. GPT-3.5 Turbo: 88% accuracy, sometimes misses nuance
`;

// Coding test comparison
const codingTest = `
Write a Python function that takes a list of numbers and returns:
1. The sum of all even numbers
2. The product of all odd numbers
3. Handle empty lists appropriately

Include proper error handling and documentation.
`;

// Performance metrics:
// - Code Quality: GPT-4 > Claude 3 > Gemini > GPT-3.5
// - Documentation: Claude 3 > GPT-4 > Gemini > GPT-3.5
// - Error Handling: GPT-4 > Claude 3 > GPT-3.5 > Gemini
`;

class ChatbotOrchestrator {
    constructor() {
        this.primaryModel = 'gpt-4-turbo';
        this.fallbackModel = 'gpt-3.5-turbo';
        this.costEffectiveModel = 'gemini-pro';
    }

    async generateResponse(prompt, complexity) {
        try {
            if (complexity === 'high') {
                return await this.callGPT4(prompt);
            } else if (complexity === 'medium') {
                return await this.callGPT35(prompt);
            } else {
                return await this.callGemini(prompt);
            }
        } catch (error) {
            console.log('Primary model failed, using fallback');
            return await this.callFallback(prompt);
        }
    }

    async callGPT4(prompt) {
        // GPT-4 implementation
        const openai = new OpenAI(process.env.OPENAI_API_KEY);
        return await openai.chat.completions.create({
            model: "gpt-4-turbo",
            messages: [{ role: "user", content: prompt }]
        });
    }

    async callGemini(prompt) {
        // Gemini implementation for cost savings
        const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY);
        const model = genAI.getGenerativeModel({ model: "gemini-pro" });
        return await model.generateContent(prompt);
    }
}