Production-Grade Agentic AI System Design and Implementation: Building Agentic AI Systems

文章目录

• Production-Grade Agentic AI System Design and Implementation: Building Agentic AI Systems Using FastAPI and LangGraph
• • Introduction: The Dawn of Agentic Workflows
  • • The Evolution from Simple APIs to Intelligent Agents
    • What is an "Agentic AI System"?
    • The Imperative for Production-Grade Solutions
    • FastAPI and LangGraph: A Synergistic Foundation
    • Navigating This Book: A Roadmap for Builders
    • Intended Audience and Prerequisites
  • FastAPI Fundamentals: Building High-Performance AI Backends
  • • Why FastAPI for AI Systems?
    • Installation and First Steps: Your "Hello, AI!" API
    • Path Parameters, Query Parameters, and Request Bodies
    • Response Models and Data Validation with Pydantic
    • Dependency Injection: Building Modular and Testable Systems
    • Asynchronous Operations: The Key to Concurrency
    • Middleware: Cross-Cutting Concerns and Request Lifecycle
    • Error Handling and HTTP Exceptions
    • Background Tasks for Long-Running Operations
    • Testing FastAPI Applications
    • Security: Authentication and Authorization Basics
  • LangGraph: Orchestrating Complex Agentic Workflows
  • • Introducing LangGraph: Beyond Simple Chains
    • Core Concepts: Graphs, Nodes, Edges, and State
    • Installation and Setup
    • Building Your First LangGraph Agent: A "Hello, Agent!" Example
    • Managing State in LangGraph
    • Multi-Agent Workflows: Collaboration and Specialization
    • Human-in-the-Loop: Incorporating Human Oversight
    • Streaming and Real-Time Outputs
    • Persistence and Checkpointing: Durable Workflows
    • Conditional Routing and Dynamic Workflows
    • Subgraphs and Modular Agent Design
    • Debugging with LangSmith
  • Designing Production-Grade Agentic AI Systems
  • • Architectural Patterns for Agentic Systems