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Context Engineering for Agents: Strategies for Context-Aware Reasoning and Action.
AI agents don’t become context-aware by accident they become context-aware by design. And that design begins with mastering the engineering of context itself.
This is the definitive guide to building intelligent, adaptive, and context-driven agents whether they’re rule-based, machine-learning powered, or LLM-enhanced. You’ll go far beyond simple prompts into the structured acquisition, modeling, reasoning, and deployment of context-aware systems that actually work in the real world.
From designing ontologies that capture meaning to orchestrating reasoning pipelines across LLMs, sensors, and multi-agent environments, this book shows you not just what to implement but how to think like a context engineer.
You’ll learn to build agents that sense, learn, reason, predict, and act while adapting to changing environments, retaining memory, and collaborating securely with other agents. With proven architectures, tested design patterns, and practical examples, you’ll move from theoretical understanding to production-grade engineering.
Inside, you’ll
The Context How to acquire, model, update, and reason over context in intelligent systems.
Representation and Designing semantic, hybrid, and graph-based models for context.
Reasoning Combining symbolic, machine learning, and probabilistic methods for contextual inference.
Planning and Action Embedding context into classical planners, POMDPs, and adaptive decision-making.
LLM Managing context windows, long-term memory, and external tool use with modern AI frameworks.
Multi-Agent Coordinating shared context, task handoffs, and situational awareness across agent teams.
Resilience and Building agents that self-correct, recover from context drift, and maintain robustness.
Real-World Case From IoT and smart cities to robotics, conversational agents, and industry applications.
Every chapter builds your theoretical foundation while equipping you with concrete strategies, patterns, and tools you can apply immediately.
If you’re serious about creating AI agents that go beyond reactive scripts agents that can truly perceive, adapt, reason, and evolve. This book is your technical blueprint.
This is the definitive guide to building intelligent, adaptive, and context-driven agents whether they’re rule-based, machine-learning powered, or LLM-enhanced. You’ll go far beyond simple prompts into the structured acquisition, modeling, reasoning, and deployment of context-aware systems that actually work in the real world.
From designing ontologies that capture meaning to orchestrating reasoning pipelines across LLMs, sensors, and multi-agent environments, this book shows you not just what to implement but how to think like a context engineer.
You’ll learn to build agents that sense, learn, reason, predict, and act while adapting to changing environments, retaining memory, and collaborating securely with other agents. With proven architectures, tested design patterns, and practical examples, you’ll move from theoretical understanding to production-grade engineering.
Inside, you’ll
The Context How to acquire, model, update, and reason over context in intelligent systems.
Representation and Designing semantic, hybrid, and graph-based models for context.
Reasoning Combining symbolic, machine learning, and probabilistic methods for contextual inference.
Planning and Action Embedding context into classical planners, POMDPs, and adaptive decision-making.
LLM Managing context windows, long-term memory, and external tool use with modern AI frameworks.
Multi-Agent Coordinating shared context, task handoffs, and situational awareness across agent teams.
Resilience and Building agents that self-correct, recover from context drift, and maintain robustness.
Real-World Case From IoT and smart cities to robotics, conversational agents, and industry applications.
Every chapter builds your theoretical foundation while equipping you with concrete strategies, patterns, and tools you can apply immediately.
If you’re serious about creating AI agents that go beyond reactive scripts agents that can truly perceive, adapt, reason, and evolve. This book is your technical blueprint.
199 pages, Paperback
Published August 13, 2025
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