Intelligent Agent Systems: a Developer's Guide (17 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Practical AI Agents in Python: Step-by-Step Guide to Automating Tasks, Integrating APIs, and Enhancing Decision-Making Are you ready to move beyond chatbots and build real Python AI agents that automate, integrate, and elevate your daily workflows?Whether you're a developer seeking to orchestrate complex API workflows or a data scientist eager to build smarter decision-making systems, Practical AI Agents in Python is your hands-on guide to building powerful, reliable agents that actually get things done. Imagine automating research, customer support, analytics, and more-all with reproducible patterns and robust code you can trust.This book takes you step-by-step from environment setup to production deployment, demystifying the latest frameworks like LangChain, OpenAI Agents SDK, and Semantic Kernel. You'll discover how to: Build and register your own Python tools for web scraping, data processing, and external API callsStructure effective Thought-Action-Observation loops that reason, act, and adapt in real timeIntegrate memory with vector stores like Pinecone and Weaviate for context-aware agentsDebug, test, and harden your agents with robust error handling, retries, and loggingScale seamlessly using Docker, Kubernetes, and CI/CD for automated, production-grade operationsImplement advanced features like self-critique, reinforcement learning, and offline/on-device inferenceWhat truly sets this book apart? Every chapter is a practical mini-tutorial, blending concise explanations with working code you can adapt right away. You'll find: Real-world case studies: Automated literature reviews, multi-channel support bots, and moreClear, reproducible examples-no pseudo-code, no "magic behind the scenes"Proven patterns for reliability, extensibility, and observabilityEssential best practices for agent orchestration, security, and cost managementReady to transform your Python skills into tangible AI solutions? Whether you're automating business workflows, integrating diverse APIs, or enhancing decision-making with next-generation tools, Practical AI Agents in Python gives you the blueprint, the code, and the confidence to build agents that work-for you and your users. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

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Paperback. Condition: new. Paperback. Mastering DSPy for Agentic AI: Optimize, Automate, and Scale Your LLM AppsWhat if your AI agents could reason, adapt, and perform at scale-without endless trial and error, tangled code, or hidden bottlenecks? Today's developers, data scientists, and product teams want more than clever prototypes. They need robust, modular AI pipelines that can be inspected, optimized, and trusted to deliver results in production.Mastering DSPy for Agentic AI is the definitive guide for anyone building next-generation language model applications. This hands-on book reveals how DSPy, a cutting-edge agentic framework, empowers you to compose, manage, and monitor complex LLM-powered workflows with confidence and precision. Skip the headaches of brittle prompt chains and discover a toolkit engineered for real-world impact.Inside, you'll learn how to: Design agentic pipelines using DSPy's modular architectureImplement retrieval-augmented generation, ReAct, and Chain-of-Thought patternsIntegrate tools, databases, and APIs into seamless agent workflowsBenchmark and scale solutions using industry-standard practicesDebug, monitor, and refine agent behavior with MLflow and modern tracingAchieve reproducibility, robust error handling, and cost control from development to deploymentCurious how top teams move from concept to production AI-while keeping control over performance and costs? This book brings you proven strategies, code examples, and expert insights gathered from practical deployments and real-world use cases. Each chapter delivers actionable techniques, whether you're a software engineer, machine learning specialist, or technical leader aiming to deploy LLM apps with confidence.Don't let your AI projects stall in the prototype stage. Get the knowledge, clarity, and hands-on skills you need to architect resilient, scalable, and transparent agentic systems-ready for the demands of business, research, or the next breakthrough product. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Practical Gemini CLI with MCP Server Integration: Streamline Your AI Agent Development and Production Pipelines Struggling to bend today's AI models to the realities of your command line and CI/CD pipelines? You're not alone. Every developer and DevOps engineer wants seamless AI-driven workflows-but integrating large language models into production-grade scripts often feels like wrestling with half-baked tools and unclear guides. Practical Gemini CLI with MCP Server Integration delivers a complete, hands-on roadmap for embedding Gemini's powerful reasoning engine into your terminal, your custom Model Context Protocol (MCP) servers, and your automated pipelines. From installing the CLI and configuring secure OAuth flows to building multi-step agent workflows and scaling containerized servers in Kubernetes, this book transforms theoretical promise into reliable, repeatable practice. In this book, you will: Master Gemini CLI basics and advanced commands-chat, shell automation, and file operations-so you can treat your terminal like a programmable AI assistant Design, implement, and register MCP servers in Node.js and Python, exposing custom tools for code review, data extraction, or cloud service integration Orchestrate end-to-end AI agent pipelines that chain multiple tools, handle errors gracefully, and prompt for human approvals in agent-mode sessions Integrate external services (AWS, GCP, Azure) and enforce security best practices-OAuth scopes, rate-limit backoff, and audit trails-to meet production requirements Scale and optimize your MCP cluster with million-token context strategies, caching layers, and Kubernetes autoscaling, backed by monitoring, logging, and canary deployments Explore real-world case studies-automated code refactoring, data reporting pipelines, live documentation generation-so you can replicate proven, high-impact solutions Packed with clear explanations, up-to-date examples, and practical insights from seasoned engineers, this book speaks directly to professionals who need actionable results today. If you're ready to harness AI agents for genuine productivity gains-without wading through conceptual fluff-Practical Gemini CLI with MCP Server Integration is your definitive guide. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Practical AI Agents in Python: Step-by-Step Guide to Automating Tasks, Integrating APIs, and Enhancing Decision-Making Are you ready to move beyond chatbots and build real Python AI agents that automate, integrate, and elevate your daily workflows?Whether you're a developer seeking to orchestrate complex API workflows or a data scientist eager to build smarter decision-making systems, Practical AI Agents in Python is your hands-on guide to building powerful, reliable agents that actually get things done. Imagine automating research, customer support, analytics, and more-all with reproducible patterns and robust code you can trust.This book takes you step-by-step from environment setup to production deployment, demystifying the latest frameworks like LangChain, OpenAI Agents SDK, and Semantic Kernel. You'll discover how to: Build and register your own Python tools for web scraping, data processing, and external API callsStructure effective Thought-Action-Observation loops that reason, act, and adapt in real timeIntegrate memory with vector stores like Pinecone and Weaviate for context-aware agentsDebug, test, and harden your agents with robust error handling, retries, and loggingScale seamlessly using Docker, Kubernetes, and CI/CD for automated, production-grade operationsImplement advanced features like self-critique, reinforcement learning, and offline/on-device inferenceWhat truly sets this book apart? Every chapter is a practical mini-tutorial, blending concise explanations with working code you can adapt right away. You'll find: Real-world case studies: Automated literature reviews, multi-channel support bots, and moreClear, reproducible examples-no pseudo-code, no "magic behind the scenes"Proven patterns for reliability, extensibility, and observabilityEssential best practices for agent orchestration, security, and cost managementReady to transform your Python skills into tangible AI solutions? Whether you're automating business workflows, integrating diverse APIs, or enhancing decision-making with next-generation tools, Practical AI Agents in Python gives you the blueprint, the code, and the confidence to build agents that work-for you and your users. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Mastering DSPy for Agentic AI: Optimize, Automate, and Scale Your LLM AppsWhat if your AI agents could reason, adapt, and perform at scale-without endless trial and error, tangled code, or hidden bottlenecks? Today's developers, data scientists, and product teams want more than clever prototypes. They need robust, modular AI pipelines that can be inspected, optimized, and trusted to deliver results in production.Mastering DSPy for Agentic AI is the definitive guide for anyone building next-generation language model applications. This hands-on book reveals how DSPy, a cutting-edge agentic framework, empowers you to compose, manage, and monitor complex LLM-powered workflows with confidence and precision. Skip the headaches of brittle prompt chains and discover a toolkit engineered for real-world impact.Inside, you'll learn how to: Design agentic pipelines using DSPy's modular architectureImplement retrieval-augmented generation, ReAct, and Chain-of-Thought patternsIntegrate tools, databases, and APIs into seamless agent workflowsBenchmark and scale solutions using industry-standard practicesDebug, monitor, and refine agent behavior with MLflow and modern tracingAchieve reproducibility, robust error handling, and cost control from development to deploymentCurious how top teams move from concept to production AI-while keeping control over performance and costs? This book brings you proven strategies, code examples, and expert insights gathered from practical deployments and real-world use cases. Each chapter delivers actionable techniques, whether you're a software engineer, machine learning specialist, or technical leader aiming to deploy LLM apps with confidence.Don't let your AI projects stall in the prototype stage. Get the knowledge, clarity, and hands-on skills you need to architect resilient, scalable, and transparent agentic systems-ready for the demands of business, research, or the next breakthrough product. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Practical Gemini CLI with MCP Server Integration: Streamline Your AI Agent Development and Production Pipelines Struggling to bend today's AI models to the realities of your command line and CI/CD pipelines? You're not alone. Every developer and DevOps engineer wants seamless AI-driven workflows-but integrating large language models into production-grade scripts often feels like wrestling with half-baked tools and unclear guides. Practical Gemini CLI with MCP Server Integration delivers a complete, hands-on roadmap for embedding Gemini's powerful reasoning engine into your terminal, your custom Model Context Protocol (MCP) servers, and your automated pipelines. From installing the CLI and configuring secure OAuth flows to building multi-step agent workflows and scaling containerized servers in Kubernetes, this book transforms theoretical promise into reliable, repeatable practice. In this book, you will: Master Gemini CLI basics and advanced commands-chat, shell automation, and file operations-so you can treat your terminal like a programmable AI assistant Design, implement, and register MCP servers in Node.js and Python, exposing custom tools for code review, data extraction, or cloud service integration Orchestrate end-to-end AI agent pipelines that chain multiple tools, handle errors gracefully, and prompt for human approvals in agent-mode sessions Integrate external services (AWS, GCP, Azure) and enforce security best practices-OAuth scopes, rate-limit backoff, and audit trails-to meet production requirements Scale and optimize your MCP cluster with million-token context strategies, caching layers, and Kubernetes autoscaling, backed by monitoring, logging, and canary deployments Explore real-world case studies-automated code refactoring, data reporting pipelines, live documentation generation-so you can replicate proven, high-impact solutions Packed with clear explanations, up-to-date examples, and practical insights from seasoned engineers, this book speaks directly to professionals who need actionable results today. If you're ready to harness AI agents for genuine productivity gains-without wading through conceptual fluff-Practical Gemini CLI with MCP Server Integration is your definitive guide. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…