E-commerce Shopping Assistant

// E-commerce Assistant MCP Context
import { MCPContext } from '@modl/mcp';

const shoppingAssistant = new MCPContext({
  systemInstruction: "You are a helpful shopping assistant for a fashion retailer.",
  userGoal: "Find stylish, waterproof sneakers under €150",
  userProfile: {
    name: "Alex",
    style: ["minimalist", "neutral", "casual-elegant"],
    shoeSize: "EU 42",
    pastPurchases: ["Nike Air Max", "Common Projects", "Vans Old Skool"],
    preferredPriceRange: "100-150 EUR"
  },
  tools: [
    {
      name: "searchProducts",
      description: "Search the product catalog",
      parameters: {
        query: "string",
        filters: "object",
        limit: "number"
      }
    },
    {
      name: "getProductDetails",
      description: "Get detailed information about a product",
      parameters: {
        productId: "string"
      }
    },
    {
      name: "checkInventory",
      description: "Check if a product is in stock",
      parameters: {
        productId: "string",
        size: "string"
      }
    }
  ],
  memory: {
    shortTerm: [],
    longTerm: {
      stylePreferences: "modern minimalist, neutral colors",
      purchaseBehavior: "researches thoroughly before buying"
    }
  }
});

export default shoppingAssistant;

import OpenAI from 'openai';
import shoppingAssistant from './shopping-assistant.js';

const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

async function getRecommendations(userQuery) {
  // Update the user goal with the specific query
  shoppingAssistant.updateContext({
    userGoal: userQuery
  });
  
  // Compile the context for OpenAI
  const context = shoppingAssistant.compileFor('openai');
  
  // Use the context in your OpenAI call
  const response = await openai.chat.completions.create({
    model: 'gpt-4o',
    messages: [
      {
        role: 'system',
        content: context.systemMessage
      },
      {
        role: 'user',
        content: userQuery
      }
    ],
    tools: context.tools
  });
  
  // Update short-term memory with this interaction
  shoppingAssistant.updateMemory({
    shortTerm: [
      ...shoppingAssistant.memory.shortTerm,
      {
        type: "interaction",
        query: userQuery,
        response: response.choices[0].message.content
      }
    ]
  });
  
  return response.choices[0].message.content;
}

// Example usage
getRecommendations("I need waterproof sneakers for city walking");