Customer support chatbot pattern

pip install orq-ai-sdk

npm install @orq-ai/node

import os
from orq_ai_sdk import Orq

client = Orq(
    api_key=os.environ.get("ORQ_API_KEY", "__API_KEY__"),
)

import { Orq } from "@orq-ai/node";

const client = new Orq({
    apiKey: process.env.ORQ_API_KEY || "__API_KEY__",
});

class CustomerSupportBot:
    def __init__(self, client, deployment_key):
        self.client = client
        self.deployment_key = deployment_key
        self.conversation_memory = []
    
    def chat(self, user_message):
        """Send a message to the chatbot and get response"""
        # Add user message to conversation history
        self.conversation_memory.append({
            "role": "user", 
            "content": user_message
        })
        
        try:
            # Invoke the deployment with conversation history
            generation = self.client.deployments.invoke(
                key=self.deployment_key,
                messages=self.conversation_memory,
                metadata={
                    "session_id": "unique_session_id",
                    "user_type": "customer"
                }
            )
            
            # Extract the assistant's response
            assistant_message = generation.choices[0].message.content
            
            # Add assistant response to conversation history
            self.conversation_memory.append({
                "role": "assistant",
                "content": assistant_message
            })
            
            return assistant_message
            
        except Exception as e:
            return "I'm sorry, I'm having technical difficulties. Please contact support at 1-800-TECHSHOP."
    
    def reset_conversation(self):
        """Reset conversation for a new customer"""
        self.conversation_memory = []

# Initialize and use the chatbot
bot = CustomerSupportBot(client, "myChatbot")
response = bot.chat("Hi, are you opened next Friday?")
print(response)

class CustomerSupportBot {
    constructor(client, deploymentKey) {
        this.client = client;
        this.deploymentKey = deploymentKey;
        this.conversationMemory = [];
    }

    async chat(userMessage) {
        // Add user message to conversation
        this.conversationMemory.push({
            role: "user",
            content: userMessage
        });

        try {
            const response = await this.client.deployments.invoke({
                key: this.deploymentKey,
                messages: this.conversationMemory,
                metadata: {
                    session_id: "unique_session_id",
                    user_type: "customer"
                }
            });

            const assistantMessage = response.choices[0].message.content;
            
            // Add assistant response to conversation
            this.conversationMemory.push({
                role: "assistant",
                content: assistantMessage
            });

            return assistantMessage;

        } catch (error) {
            return "I'm sorry, I'm having technical difficulties. Please contact support.";
        }
    }

    resetConversation() {
        this.conversationMemory = [];
    }
}

// Initialize and use the chatbot
const bot = new CustomerSupportBot(client, "myChatbot");
const response = await bot.chat("Hi, are you opened next friday ?");
console.log(response);

 ❯ python3 chatbot.py
Yes, we're open on Fridays! Our business hours are Monday through Friday, 9AM to 6PM EST.

Is there anything I can help you with regarding your order or our products today?