DSPy Agentic AI Engineering: Build AI Agents, RAG Pipelines, Tool-Calling Systems, and Production-Ready LLM Applications with DSPy

By Dana Emmerson

DSPy Agentic AI Engineering is a practical guide to building modern AI applications using DSPy, one of the most powerful frameworks for modular and programmable language model systems. This book focuses on helping developers move beyond prompt experimentation and into structured AI engineering with reusable pipelines, optimized workflows, and scalable architectures.
Through hands-on examples and real-world development patterns, you'll learn how to build AI agents, retrieval-augmented generation (RAG) systems, tool-calling workflows, and intelligent applications that are reliable, maintainable, and production-ready.
The book introduces the core principles behind DSPy programming, including signatures, modules, optimization pipelines, dataset-driven improvements, and evaluation systems. You'll also explore integration strategies for APIs, vector databases, memory systems, and deployment environments used in modern AI infrastructure.
What You Will Learn: Core DSPy architecture and modular AI programmingBuilding AI agents and multi-step reasoning systemsRetrieval-Augmented Generation (RAG) workflowsTool calling and API integration pipelinesStructured outputs and typed generationPrompt optimization and teleprompting systemsDataset engineering and evaluation workflowsMemory and context management for AI agentsFastAPI, Docker, and production deployment strategiesDebugging, monitoring, and improving DSPy applicationsWhether you're an AI engineer, software developer, or technical builder exploring next-generation LLM systems, this book provides the practical foundation needed to engineer intelligent applications with DSPy.

• Format: Paperback
• Language: English
• ISBN: B0H1DF1X7W
• ISBN13: 9798196443794
• Release Date: May 2026
• Publisher: Independently Published
• Length: 174 Pages
• Weight: 0.69 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"