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Viewing file:     textClassification.js (2.3 KB)      -rw-r--r--

const OpenAI = require("openai");
require("dotenv").config({ path: "../.env" });
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

async function classifyMessage(message) {
  // const prompt = `
  // You are a classification bot. 
  // Decide if this message is "general" (chit-chat, greeting, etc.)
  // or "product" (asking about products, availability, price, size, color, etc.)
  // Only return "general" or "product".

  // Message: "${message}"
  // `;
// const prompt = `
// You are a smart assistant that classifies a user message into exactly one intent.
// Available intents: product, talk_to_agent, help_line, delivery_info, order_process, previous_order, general, complain

// Examples:
// - "I want to buy a red t-shirt" → product
// - "Connect me with an admin" → talk_to_agent
// - "My package is delayed, need help" → help_line
// - "When will my order arrive?" → delivery_info
// - "How do I place an order?" → order_process
// - "Tell me about my last order" → previous_order
// - "Hello, how are you?" → general
// - "I am not happy with the product" → complain

// Classify the following message into one intent (return only the intent, no explanation):

// `;
const systemMessage = `
You are a chatbot intent classifier.
Classify user messages into one of these intents ONLY:
product, talk_to_agent, help_line, delivery_info, order_process, previous_order, general, complain.
Pay attention to context:
- If the user mentions a product but expresses dissatisfaction, classify as "complain".
- If the user wants to talk to admin/support, classify as "talk_to_agent".
Return ONLY the intent, no explanation.
`;
  const response = await openai.chat.completions.create({
    model: "gpt-4o-mini",
    messages: [
      { role: "system", content: systemMessage },
      { role: "user", content: message }
    ]
    // messages: [{ role: "user", content: systemMessage }],
  });
const { prompt_tokens = 0, completion_tokens = 0, total_tokens = 0 } = response?.usage || {};
  console.log(`Prompt tokens: ${prompt_tokens}, Completion tokens: ${completion_tokens}, Total tokens: ${total_tokens}`);
  
  return response.choices[0].message.content.trim().toLowerCase();
}
classifyMessage("Hi, miya foul product disien.").then(console.log); // Example usage