Overview
This project is an agentic customer-support application for an e-commerce scenario, built with Amazon Bedrock AgentCore, Strands Agents, Model Context Protocol (MCP), AWS Lambda, Amazon API Gateway, Amazon Bedrock Knowledge Bases, AgentCore Memory, Code Interpreter, and Browser. The agent routes customer requests to external business tools, retrieves product and policy information, remembers preferences across sessions, calculates loyalty discounts, and accesses web content when needed. It is described as an educational portfolio project, not a production customer-service system.
The agent runs on AgentCore Runtime and loads local and Gateway-provided tools, using customer and session context when handling requests. It can respond conversationally, retrieve information, or invoke an appropriate tool. External actions are demonstrated in the project environment; real-world customer authorization and refund controls would require additional safeguards.
Capabilities include order tracking through an API-backed Gateway tool, refund operations via Lambda-backed Gateway tools, retrieval-augmented generation using a search_knowledge_base tool, long-term memory with AgentCore Memory, loyalty calculations through AgentCore Code Interpreter, and web content access via AgentCore Browser. The project includes automated tests and deployment evidence.
Pricing
Free
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Use Cases
- Teams use the agent to track order status and shipping details.
- Teams use the agent to initiate refunds, look up refund status, and generate return labels.
- Teams use the agent to answer product and policy questions via knowledge-base retrieval.
- Teams use the agent to remember customer preferences across sessions.
- Teams use the agent to calculate loyalty discounts and points balances.
- Teams use the agent to retrieve information from external web pages.
Features
Build agentic customer support flows
Use Amazon Bedrock AgentCore
Retrieve information with RAG
Maintain long term memory
Access tools through MCP Gateway
Use Code Interpreter and Browser
Connect through Lambda and API Gateway
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