/aws-agentic-ai

AgentCore Code Interpreter Service

Status: ✅ Available

Overview

Amazon Bedrock AgentCore Code Interpreter enables agents to securely execute code in isolated sandbox environments, supporting complex data analysis workflows and computational tasks.

Core Capabilities

Secure Execution

• Isolated Sandboxes: Each code execution runs in a completely isolated environment
• No Cross-Contamination: Sessions are independent with no shared state
• Enterprise Security: Meets enterprise security and compliance requirements
• Resource Controls: Configurable limits and timeout controls for execution

Framework Integration

• Popular Frameworks: Seamless integration with LangGraph, CrewAI, Strands, and other agent frameworks
• Multi-Language Support: Execute code in Python, JavaScript, and other languages
• Advanced Configuration: Extensive customization options for runtime environments
• Custom Runtimes: Support for specialized runtime configurations

Data Processing

• File Operations: Upload and download files for processing
• Multi-Modal Data: Handle structured and unstructured data
• Result Formatting: Format and visualize execution results
• Error Handling: Comprehensive error reporting and debugging support

Use Cases

Data Analysis and Transformation

Enable agents to:

• Process and analyze datasets
• Transform data formats
• Perform statistical calculations
• Generate data insights

Complex Computational Workflows

Support scenarios like:

• Running scientific computations
• Executing business logic calculations
• Processing batch operations
• Performing iterative algorithms

Visualization and Reporting

Allow agents to:

• Generate charts and graphs
• Create formatted reports
• Build visualizations from data
• Export results in various formats

Dynamic Code Testing

Enable agents to:

• Test code snippets dynamically
• Validate logic and algorithms
• Debug code execution issues
• Prototype solutions quickly

Architecture

Execution Flow

Agent Request
    ↓
┌─────────────────────────────────────────┐
│  Code Interpreter Service               │
│  - Parse code execution request         │
│  - Validate code and parameters         │
│  - Allocate isolated sandbox            │
└─────────────────────────────────────────┘
    ↓
┌─────────────────────────────────────────┐
│  Sandbox Environment                    │
│  - Execute code in isolation            │
│  - Process data and files               │
│  - Generate outputs                     │
│  - Capture errors and logs              │
└─────────────────────────────────────────┘
    ↓
┌─────────────────────────────────────────┐
│  Result Processing                      │
│  - Format execution results             │
│  - Package outputs and artifacts        │
│  - Return to agent                      │
└─────────────────────────────────────────┘

Security Model

1. Sandbox Isolation: Each execution runs in a completely isolated environment
2. Resource Limits: CPU, memory, and time limits prevent resource exhaustion
3. Network Restrictions: Controlled network access from sandbox environments
4. Data Encryption: Data at rest and in transit is encrypted
5. Audit Logging: All code executions are logged for compliance

Configuration

Basic Setup

# Configure code interpreter for agent
aws bedrock-agentcore-control configure-code-interpreter \
  --agent-id <AGENT_ID> \
  --execution-timeout 300 \
  --memory-limit 2048 \
  --region <REGION>

Custom Runtime Configuration

# Set custom runtime environment
aws bedrock-agentcore-control update-code-interpreter-runtime \
  --agent-id <AGENT_ID> \
  --runtime-config '{
    "language": "python3.11",
    "packages": ["pandas", "numpy", "matplotlib"],
    "environment": {
      "CUSTOM_VAR": "value"
    }
  }' \
  --region <REGION>

Best Practices

Code Security

• Validate all code inputs before execution
• Implement input sanitization for user-provided code
• Use resource limits to prevent denial of service
• Monitor code execution patterns for anomalies

Performance Optimization

• Cache common dependencies in runtime images
• Use appropriate timeout values for expected workload
• Optimize code for execution within timeout limits
• Batch similar operations when possible

Error Handling

• Implement comprehensive error catching in code
• Provide clear error messages for debugging
• Log execution details for troubleshooting
• Use structured output formats for results

Data Management

• Minimize data transfer in and out of sandboxes
• Use streaming for large data processing
• Clean up temporary files after execution
• Implement data validation before processing

Integration Patterns

With Memory Service

Code Interpreter ←→ Memory Service
- Store execution results in memory
- Retrieve past computation results
- Share data across agent sessions

With Identity Service

Code Interpreter ←→ Identity Service
- Authenticate code execution requests
- Access credentials for external APIs
- Manage permissions for data access

With Observability Service

Code Interpreter ←→ Observability Service
- Trace code execution workflows
- Monitor performance metrics
- Log execution events
- Alert on execution failures

Troubleshooting

Common Issues

Execution Timeout

• Symptom: Code execution exceeds timeout limit
• Solution: Increase timeout or optimize code performance

Memory Limit Exceeded

• Symptom: Code runs out of memory
• Solution: Increase memory limit or process data in chunks

Package Import Errors

• Symptom: Required packages not found
• Solution: Configure custom runtime with needed packages

Permission Denied

• Symptom: Cannot access required resources
• Solution: Configure IAM permissions for code interpreter

Monitoring

Key Metrics

• Execution Count: Number of code executions
• Success Rate: Percentage of successful executions
• Average Duration: Mean execution time
• Error Rate: Percentage of failed executions
• Resource Utilization: CPU and memory usage

CloudWatch Integration

# Query execution metrics
aws cloudwatch get-metric-statistics \
  --namespace AWS/BedrockAgentCore/CodeInterpreter \
  --metric-name ExecutionCount \
  --dimensions Name=AgentId,Value=<AGENT_ID> \
  --start-time <START> \
  --end-time <END> \
  --period 3600 \
  --statistics Sum

Additional Resources

• AWS Documentation: Bedrock AgentCore Code Interpreter
• Security Best Practices: Secure Code Execution
• API Reference: Code Interpreter API

Related Services:

• Runtime Service - Agent execution environment
• Memory Service - State management
• Observability Service - Monitoring and tracing