10 — Foundation Model API Integrations

10 — Foundation Model API Integrations

Module Introduction

• Introduction
• Core FM Integration Principles
• Integration Architecture Patterns

Model Request Pattern Options

• Introduction
• Request Pattern Fundamentals
• Synchronous Request Patterns for AI Applications
• Asynchronous Request Patterns for AI Applications
• Hybrid Approach Strategies

Synchronous Model Requests

• Introduction
• Synchronous Bedrock Requests
• Compute Environment Options
• Software Development Kit (SDK) Implementation Examples
• Example Workflow: Document Sentiment Analysis

Asynchronous Model Requests

• Introduction
• Asynchronous Implementation Considerations
• Implementation Example: Content Moderation
• Monitoring and optimization
• Example Workflow: Content Moderation

Streaming Response Pattern Benefits

• Introduction
• Streaming for Conversational AI
• Amazon Bedrock Streaming APIs
• WebSocket Streaming Patterns
• Server-Sent Events (SSE) Streaming
• API Gateway Chunked Transfer Encoding
• Response Pattern Selection Criteria and Best Practices
• Streaming Pattern Comparison

Amazon Bedrock Streaming Apis

• Introduction
• Amazon Bedrock Streaming APIs Overview
• Frontend Implementation Patterns
• Backend API Development
• Message Processing and Formatting
• Response Handling and Conversation Management
• Error Handling and Monitoring
• Deployment and Scaling Considerations
• ConverseStream API Implementation Example
• InvokeModelWithBidirectionalStream API Implementation Example

Additional Streaming Response Patterns

• Introduction
• WebSocket Streaming Implementation
• Server-Sent Events (SSE) Streaming Implementation
• Chunked Transfer Encoding with API Gateway
• Implementation Comparison and Selection Criteria
• Monitoring and Observability Setup
• Integration with AI Services

Module Summary

• Recap and next steps
• Resources