dendilaws c227bf1124
updated primary model references every where to sonnet 3.7 (#191)
* updated to Sonnet 3.7

updated to Sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* uodated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

* updated to sonnet 3.7

Signed-off-by: dendilaws <dendilaws@gmail.com>

---------

Signed-off-by: dendilaws <dendilaws@gmail.com>
2025-08-02 11:55:41 -04:00

8.0 KiB

Architecture Overview

System Architecture

The AgentCore Code Interpreter follows a modern three-tier architecture:

┌─────────────────────────────────────────────────────────────────┐
│                     PRESENTATION LAYER                         │
│                    Frontend (React + AWS Cloudscape)           │
│  ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐   │
│  │  Code Generator │ │   Code Editor   │ │ Execution Results│   │
│  │      Tab        │ │      Tab        │ │      Tab        │   │
│  └─────────────────┘ └─────────────────┘ └─────────────────┘   │
└─────────────────────────────┬───────────────────────────────────┘
                              │ HTTP/WebSocket
┌─────────────────────────────┴───────────────────────────────────┐
│                     APPLICATION LAYER                          │
│                    Backend (FastAPI + Strands-Agents)          │
│  ┌─────────────────┐                    ┌─────────────────┐     │
│  │ Code Generator  │                    │ Code Executor   │     │
│  │     Agent       │                    │     Agent       │     │
│  │ (Strands-Agents)│                    │ (Strands-Agents)│     │
│  └─────────┬───────┘                    └─────────┬───────┘     │
└────────────┼────────────────────────────────────────┼───────────┘
             │                                        │
┌────────────┴────────────────────────────────────────┴───────────┐
│                      SERVICE LAYER                             │
│                     AWS Bedrock Services                       │
│  ┌─────────────────┐                    ┌─────────────────┐     │
│  │ Claude Sonnet3.7│                    │   AgentCore     │     │
│  │ (Inference      │                    │ CodeInterpreter │     │
│  │  Profile)       │                    │    (Sandbox)    │     │
│  └─────────────────┘                    └─────────────────┘     │
│  ┌─────────────────┐                                            │
│  │  Nova Premier   │                                            │
│  │ (Inference      │                                            │
│  │  Profile)       │                                            │
│  └─────────────────┘                                            │
└─────────────────────────────────────────────────────────────────┘

Component Details

Frontend Layer (React)

  • Technology: React 18 + AWS Cloudscape Design System
  • Purpose: User interface for code generation and execution
  • Components:
    • Code Generator: Natural language input and AI code generation
    • Code Editor: Monaco-based Python code editor
    • Execution Results: Formatted output display with error handling
  • Communication: HTTP REST APIs and WebSocket for real-time updates

Backend Layer (FastAPI)

  • Technology: FastAPI + Strands-Agents Framework
  • Purpose: Business logic and AI agent orchestration
  • Components:
    • Code Generator Agent: Converts natural language to Python code
    • Code Executor Agent: Executes Python code safely
    • Session Manager: Handles user sessions and conversation history
    • API Gateway: RESTful endpoints and WebSocket handlers
  • Features:
    • Intelligent model fallback
    • Session persistence
    • Error handling and logging

Service Layer (AWS Bedrock)

  • Technology: AWS Bedrock + AgentCore
  • Purpose: AI model inference and code execution
  • Components:
    • Claude Sonnet 3.7: Primary AI model (inference profile)
    • Nova Premier: Fallback AI model (inference profile)
    • Claude 3.5 Sonnet: Safety net model
    • AgentCore: Sandboxed Python execution environment

Data Flow

Code Generation Flow

User Input → Frontend → Backend API → Strands Agent → Bedrock Model → Response
    ↓
Generated Code → Code Editor → Ready for Execution

Code Execution Flow

Python Code → Backend API → Strands Agent → AgentCore Sandbox → Execution Results
    ↓
Results → Frontend → Formatted Display

Key Design Principles

1. Separation of Concerns

  • Frontend handles UI/UX only
  • Backend manages business logic
  • AWS services provide AI and execution capabilities

2. Fault Tolerance

  • Multiple AI model fallbacks
  • Graceful error handling
  • Session recovery mechanisms

3. Security

  • Sandboxed code execution
  • AWS IAM-based access control
  • Input validation and sanitization

4. Scalability

  • Stateless backend design
  • Cloud-native services
  • Horizontal scaling capabilities

5. Extensibility

  • Plugin-based agent architecture
  • Configurable model selection
  • Modular component design

Technology Stack

Layer Technology Purpose
Frontend React 18 User interface framework
AWS Cloudscape Design system and components
Monaco Editor Code editing capabilities
Backend FastAPI High-performance API framework
Strands-Agents AI agent orchestration
Python 3.8+ Runtime environment
AI Services AWS Bedrock AI model hosting
Claude Sonnet 3.7 Primary language model
Nova Premier Fallback language model
Execution AgentCore Sandboxed code execution
Infrastructure AWS Cloud platform

Security Architecture

Authentication & Authorization

  • AWS IAM roles and policies
  • Profile-based or access key authentication
  • Least privilege access principles

Code Execution Security

  • Isolated sandbox environments
  • Resource limits and timeouts
  • Network isolation
  • No persistent storage access

Data Protection

  • Encrypted communication (HTTPS/WSS)
  • No sensitive data logging
  • Session-based data isolation

Deployment Architecture

Development Environment

Local Machine
├── Frontend (localhost:3000)
├── Backend (localhost:8000)
└── AWS Services (Remote)

Production Environment

AWS Cloud
├── Frontend (S3 + CloudFront)
├── Backend (ECS/Lambda)
├── Load Balancer (ALB)
└── Bedrock Services

Performance Considerations

Optimization Strategies

  • Model Caching: Reuse initialized models
  • Connection Pooling: Efficient AWS service connections
  • Async Processing: Non-blocking I/O operations
  • Response Streaming: Real-time result delivery

Monitoring & Observability

  • Health check endpoints
  • Comprehensive logging
  • Error tracking and alerting
  • Performance metrics collection

This architecture provides a robust, scalable, and secure platform for AI-powered code generation and execution.