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Structure and Implementation of Agentic Programs
A Practical Guide to Building Intelligent LLM Applications with Python
Stop building brittle LLM wrappers and start engineering production-grade autonomous agent networks.
This hands-on guide takes you from fundamental Transformer mechanics to orchestrating multi-agent architectures under Kubernetes with Python. Step beyond basic prototypes to master graph-based orchestration, grammar-constrained outputs, LoRA fine-tuning, RAG, and MCP. Learn to navigate critical production trade-offs—model routing, quantization, cost control, prompt injection security, and human-in-the-loop monitoring—to deploy resilient, enterprise-ready AI systems.
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Understand, build, and supervise LLM agent networks to transition from appealing prototypes to reliable production systems.
This book guides you through a major paradigm shift: the historical transition from mere computation to autonomous action. From 1980s expert systems to Transformer architectures, from semantic embeddings to multi-agent networks orchestrated under Kubernetes, every concept is rigorously dissected and put into practice using Python.
You will learn to step-by-step build your own Python agents: grammar-constrained JSON outputs, tool invocation, RAG, LoRA fine-tuning, graph-based orchestration, shared state, and human-in-the-loop patterns. Architectural trade-offs will become tangible: model routing, quantization, MCP, Kubernetes, monitoring, and workflow management. You will master key production requirements: evaluating agents on real business use cases, controlling costs, securing identities and permissions, preventing prompt injection, and logging every action.
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Guillaume Saupin
Engineer and PhD in Applied Mathematics, who served as a research scientist at CEA for 10 years. Co-founder and former CTO of Verteego, a decision intelligence SaaS platform, he is currently Vice President of Engineering, AI & Data at Bamboo Rose. Already an author with Dunod and ENI, he has taught at HEC Paris, Epitech, and various universities. He has been writing technical articles for Linux Magazine, Towards Data Science, and Actu IA for over 15 years.
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