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