Tạo Generate Email Func

import {
  BedrockClassifier,
  MultiAgentOrchestrator
} from 'multi-agent-orchestrator';
import { humanAgent } from './agents/human';
import { orderManagementAgent } from './agents/order-management';
import { productInfoAgent } from './agents/product-info';
import { customerServiceAgent } from './agents/customer-service';

const customBedrockClassifier = new BedrockClassifier({ // set default classifier
  modelId: 'anthropic.claude-3-haiku-20240307-v1:0',
  region: "us-east-1",
  inferenceConfig: {
    maxTokens: 500,
    temperature: 0.7,
    topP: 0.9
  }
});

// Create and export the orchestrator
const orchestrator = new MultiAgentOrchestrator({ classifier: customBedrockClassifier });

orchestrator.addAgent(orderManagementAgent);
orchestrator.addAgent(productInfoAgent);
orchestrator.addAgent(humanAgent);
orchestrator.addAgent(customerServiceAgent);

export default orchestrator; // Export for local and handle index

import { ConversationMessage } from 'multi-agent-orchestrator';
import { emailFormatAgent } from './agents/email-format.js';
import orchestrator from './orchestrator.js';

// WARN: You must request access model in Amazon Bedrock console

async function testOrchestrator() {
  const testEmails = [
    { text: "How your shop protecting customer personal information?", userId: "user2", sessionId: "session2" },
    { text: "What's the status of my order #12345?", userId: "user1", sessionId: "session1" },
    { text: "Do you accept payment methods with credit cards", userId: "user3", sessionId: "session3" },
    { text: "What's the return policy of product?", userId: "user4", sessionId: "session4" },
    { text: "What kind of products do you sell", userId: "user5", sessionId: "session5" }
  ];

  for (const email of testEmails) {
    console.log(`Processing email: "${email.text}"`);
    const response = await orchestrator.routeRequest(email.text, email.userId, email.sessionId);
    const finalResponse = await emailFormatAgent.processRequest(response.output as string, "user", "session", []) as ConversationMessage;
    console.log("Final Response:", finalResponse.content as unknown as string);
    console.log(`Response from ${response.metadata.agentName}:`);
    console.log(response.output);
    console.log('---');
  }
}
testOrchestrator().catch(console.error);

export const emailFormatAgent = new BedrockLLMAgent({
    name: "Email Format Agent",
    description: "Format response to email, the format will be, 'Dear Customer, \n YOUR_RESPONSE_WILL_BE_HERE. \n 'Best regards,\n' Cat shop \n'", // This is the prompt to final format response before send it to SQS
    modelId: "anthropic.claude-3-haiku-20240307-v1:0",
    region: "us-east-1",
    saveChat: false
} as BedrockLLMAgentOptions); 

const orderManagementToolConfig = [
    {
        toolSpec: {
            name: "OrderLookup",
            description: "Retrieve order details from the database",
            inputSchema: {
                json: {
                    type: "object",
                    properties: {
                        orderId: { type: "string", description: "The order ID to look up" }
                    },
                    required: ["orderId"]
                }
            }
        }
    },
    {
        toolSpec: {
            name: "ShipmentTracker",
            description: "Get real-time shipping information",
            inputSchema: {
                json: {
                    type: "object",
                    properties: {
                        orderId: { type: "string", description: "The order ID to track" }
                    },
                    required: ["orderId"]
                }
            }
        }
    },
    {
        toolSpec: {
            name: "ReturnProcessor",
            description: "Initiate and manage return requests",
            inputSchema: {
                json: {
                    type: "object",
                    properties: {
                        orderId: { type: "string", description: "The order ID for the return" }
                    },
                    required: ["orderId"]
                }
            }
        }
    }
];

export async function orderManagementToolHandler(response: ConversationMessage, conversation: ConversationMessage[]) {
    const responseContentBlocks = response.content as any[];
    let toolResults: any = [];

    if (!responseContentBlocks) {
        throw new Error("No content blocks in response");
    }

    for (const contentBlock of responseContentBlocks) {
        if ("toolUse" in contentBlock) {
            const toolUseBlock = contentBlock.toolUse;
            const toolUseName = toolUseBlock.name;
            let result;

            switch (toolUseName) {
                case "OrderLookup":
                    result = orderLookup(toolUseBlock.input.orderId);
                    break;
                case "ShipmentTracker":
                    result = shipmentTracker(toolUseBlock.input.orderId);
                    break;
                case "ReturnProcessor":
                    result = returnProcessor(toolUseBlock.input.orderId);
                    break;
            }

            if (result) {
                toolResults.push({
                    "toolResult": {
                        "toolUseId": toolUseBlock.toolUseId,
                        "content": [{ json: { result } }],
                    }
                });
            }
        }
    }

    const message: ConversationMessage = { role: ParticipantRole.USER, content: toolResults };
    conversation.push(message);
}

export const orderManagementAgent = new BedrockLLMAgent({
    name: "Order Management Agent",
    description: "Handles order-related inquiries including order status, shipment tracking, returns, and refunds. Uses order database and shipment tracking tools.",
    toolConfig: {
        useToolHandler: orderManagementToolHandler,
        tool: orderManagementToolConfig,
        toolMaxRecursions: 5
    },
    modelId: "anthropic.claude-3-sonnet-20240229-v1:0",
    region: "us-east-1",
    saveChat: false
} as BedrockLLMAgentOptions);

const productInfoRetriever = new AmazonKnowledgeBasesRetriever(
    new BedrockAgentRuntimeClient({ region: "us-east-1" }),
    { knowledgeBaseId: env.KNOWLEDGE_BASE_ID }
);

export const productInfoAgent = new BedrockLLMAgent({
    name: "Product Information Agent",
    description: "Provides detailed product information, answers questions about specifications, compatibility, and availability.",
    retriever: productInfoRetriever,
    modelId: "anthropic.claude-3-haiku-20240307-v1:0",
    region: "us-east-1",
    saveChat: false
} as BedrockLLMAgentOptions); 

export const customerServiceAgent = new AmazonBedrockAgent({
    name: "Customer Service Agent BedRock",
    description: "Handles general customer inquiries, account-related questions, and non-technical support requests. Uses comprehensive customer service knowledge base.",
    agentId: env.CUSTOMER_SERVICE_AGENT_ID,
    agentAliasId: env.CUSTOMER_SERVICE_AGENT_ALIAS_ID,
    saveChat: false,
    region: "us-east-1"
} as AmazonBedrockAgentOptions);