فهرست مطالب

• Foreword
• Preface
• I. Developing AI Services
• Chapter 1. Introduction
• What Is Generative AI?
• Why Generative AI Services Will Power Future Applications
• How to Build a Generative AI Service
• Why Build Generative AI Services with FastAPI?
• What Prevents the Adoption of Generative AI Services
• Overview of the Capstone Project
• Summary
• Chapter 2. Getting Started with FastAPI
• Introduction to FastAPI
• Setting Up Your Development Environment
• FastAPI Features and Advantages
• FastAPI Project Structures
• Onion/Layered Application Design Pattern
• Comparing FastAPI to Other Python Web Frameworks
• FastAPI Limitations
• Setting Up a Managed Python Environment and Tooling
• Summary
• Chapter 3. AI Integration and Model Serving
• Serving Generative Models
• Strategies for Serving Generative AI Models
• The Role of Middleware in Service Monitoring
• Summary
• Additional References
• Chapter 4. Implementing Type-Safe AI Services
• Introduction to Type Safety
• Implementing Type Safety
• Pydantic Models
• Summary
• II. Communicating with External Systems
• Chapter 5. Achieving Concurrency in AI Workloads
• Optimizing GenAI Services for Multiple Users
• Optimizing for I/O Tasks with Asynchronous Programming
• Optimizing Model Serving for Memory- and Compute-Bound AI Inference Tasks
• Managing Long-Running AI Inference Tasks
• Summary
• Additional References
• Chapter 6. Real-Time Communication with Generative Models
• Web Communication Mechanisms
• Implementing SSE Endpoints
• Implementing WS Endpoints
• Summary
• Chapter 7. Integrating Databases into AI Services
• The Role of a Database
• Database Systems
• Project: Storing User Conversations with an LLM in a Relational Database
• Managing Database Schemas Changes
• Storing Data When Working with Real-Time Streams
• Summary
• III. Securing, Optimizing, Testing, and Deploying AI Services
• Chapter 8. Authentication and Authorization
• Authentication and Authorization
• Authentication Methods
• Implementing OAuth Authentication
• Authorization
• Summary
• Chapter 9. Securing AI Services
• Usage Moderation and Abuse Protection
• Guardrails
• API Rate Limiting and Throttling
• Summary
• Chapter 10. Optimizing AI Services
• Optimization Techniques
• Summary
• Chapter 11. Testing AI Services
• The Importance of Testing
• Software Testing
• Challenges of Testing GenAI Services
• Project: Implementing Tests for a RAG System
• Summary
• Chapter 12. Deployment of AI Services
• Deployment Options
• Containerization with Docker
• Summary
• Afterword
• Index
• About the Author