Lab 08

Lab 8: AgentCore Tools

Supercharge your mortgage assistant with Amazon Bedrock AgentCore’s built-in tools. Integrate the Code Interpreter to enable dynamic mortgage calculations, allowing your agent to generate and execute Python code in secure sandbox environments.

What You’ll Build

  • Dynamic Code Generation — create Python code based on customer mortgage scenarios
  • Secure Code Execution — run calculations in isolated sandbox environments
  • Complex Mortgage Analysis — compare payment strategies with real-time calculations
  • Intelligent Tool Routing — automatically determine when to use code execution

Integration in 3 Steps

# Step 1: Import
from bedrock_agentcore.tools.code_interpreter_client import code_session

# Step 2: Create tool wrapper
@tool
def execute_python_code(code: str) -> str:
    with code_session(region) as code_client:
        response = code_client.invoke("", {"code": code})
        return json.dumps(response)

# Step 3: Add to agent
all_tools = [...existing_tools, execute_python_code]

Notebook

08-agentcore-tools/mortgage_agent_runtime_tools.py

Workshop Summary

Throughout this workshop, you successfully built a production-ready Mortgage Assistant Agent using Amazon Bedrock AgentCore. Starting with a local prototype, you progressively transformed it into an enterprise-grade AI solution with advanced capabilities including security, scalability, memory, observability, and dynamic code execution.

🏗️

Built a Production Agent

Deployed a Mortgage Assistant using AgentCore Runtime with serverless auto-scaling

🔐

Secured with Identity

Implemented OAuth 2.0 and workload identities for robust authentication

🧠

Added Memory & Context

Enabled short-term and long-term memory for personalized, context-aware interactions