Pydantic for LLM Workflows: Data Validation, Schema Design, and Structured Outputs for Large Language Models

By Steven Morris

Build reliable, secure, and production-grade LLM applications with Pydantic as your foundation.
Large Language Models (LLMs) are powerful but unpredictable. Their free-text outputs often lack structure, consistency, or compliance-making them difficult to use in real-world systems. This book shows you how to solve that problem by using Pydantic to enforce schemas, validate data, and design workflows where LLMs become not just creative but trustworthy components of production pipelines.
From fundamentals to advanced architectures, Pydantic for LLM Workflows walks you step by step through the patterns, tools, and best practices needed to tame unstructured outputs and build scalable, auditable, and compliant AI applications.
Inside, you will learn how to: Master Pydantic's core features-models, fields, types, and validation.Define robust input/output schemas for LLM prompts and responses.Parse, validate, and sanitize free-text outputs into structured data.Build reliable pipelines with LangChain, LangGraph, and FastAPI.Implement error handling, monitoring, and observability for LLM systems.Ensure security and compliance with GDPR, HIPAA, and SOC 2 principles.Optimize performance for high-throughput AI workflows.Design advanced multi-agent and multi-step architectures using Pydantic.Apply real-world case studies-customer support assistants, document extraction, and secure data flows.Whether you are an AI engineer, data scientist, backend developer, or technical leader, this book equips you with the knowledge and patterns to bring order, structure, and trust to the chaos of LLM outputs.
Turn unreliable model responses into validated, production-ready data-and build the next generation of AI systems with confidence.

• Format: Paperback
• Language: English
• ISBN: B0FR17KQPH
• ISBN13: 9798265059215
• Release Date: September 2025
• Publisher: Independently published
• Length: 280 Pages
• Weight: 1.09 lbs.
• Dimensions: 10.0" x 0.6" x 7.0"