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
Production-Grade Agentic AI System Design and Implementation: Building Agentic AI Systems Using FastAPI and LangGraph
Introduction: The Dawn of Agentic Workflows
The field of artificial intelligence is undergoing a profound transformation, shifting from predominantly predictive and analytical models towards systems capable of proactive, goal-directed behavior. This evolution marks the rise ofAgentic AI Systems, entities that can perceive their environment, make reasoned decisions, take actions to achieve specified objectives, and even learn from their int
