Transform Your NetSuite Experience

/**
* @NApiVersion 2.1
* @NScriptType Suitelet
* @NModuleScope Public
* @Author Shubham Kaila
*/
define(['N/llm'], function(llm) {
    return {
        onRequest: function(context) {
            try {
                if (context.request.method !== 'POST') {
                    throw new Error('Only POST method is supported');
                }

                const body = JSON.parse(context.request.body);
                const userMessage = body.message;
                const chatHistory = body.chatHistory || [];

                // Format chat history for the prompt
                let formattedHistory = '';
                if (chatHistory.length > 0) {
                    formattedHistory = chatHistory.map(msg => 
                        `${msg.role === 'user' ? 'User' : 'Assistant'}: ${msg.content}`
                    ).join('\n');
                }

                // Build the system prompt
                const systemPrompt = `You are a knowledgeable NetSuite assistant designed to help users with their queries effectively.
                    Context: The user is currently working within the NetSuite environment and requires assistance with specific tasks or questions related to their operations.
                    Please refer to the official NetSuite documentation for accurate information: https://docs.oracle.com/en/cloud/saas/netsuite/index.html.
                    Ensure your responses are clear, concise, and actionable, providing step-by-step guidance when necessary.
                    
                    Previous conversation:
                    ${formattedHistory}
                    
                    Current user message: ${userMessage}
                    
                    Based on the conversation history and current question, provide a relevant and contextual response.`;

                // Call N/llm module with enhanced prompt
                const response = llm.generateText({
                    prompt: systemPrompt,
                    modelFamily: llm.ModelFamily.META_LLAMA,
                    modelParameters: {
                        maxTokens: 1000,
                        temperature: 0.2,
                        topK: 3,
                        topP: 0.7,
                        frequencyPenalty: 0.4,
                        presencePenalty: 0
                    }
                });

                context.response.write(JSON.stringify({
                    success: true,
                    response: response.text
                }));
                context.response.setHeader({
                    name: 'Content-Type',
                    value: 'application/json'
                });

            } catch (error) {
                context.response.write(JSON.stringify({
                    success: false,
                    error: error.message
                }));
            }
        }
    };
});