eBook
Building Production AI Agents for the Web : Design and Orchestrate Autonomous Agents with MCP, Multi-Agent Patterns, and Harness Engineering
| Τίτλος: | Building Production AI Agents for the Web : Design and Orchestrate Autonomous Agents with MCP, Multi-Agent Patterns, and Harness Engineering |
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| Περιγραφή: | Architect, orchestrate, and deploy scalable AI agents with real-world patterns, multi-agent systems, and evaluation frameworks.Key FeaturesFilled with real-world agentic web application examples using LLMs, RAG, and tool callingDesign and implement AI assistants with reasoning patterns like ReActArchitect scalable agent systems with planning, orchestration, and autonomyBook DescriptionAdding an LLM to an application is easy. Building an intelligent application that can reliably use your data, call tools, make decisions, complete tasks, and operate in production is much harder. Building Production AI Agents for the Web is a practical guide to engineering modern AI-powered applications beyond the basic chatbot. You'll start by integrating LLMs into web applications and progressively extend their capabilities with tool calling, RAG, and MCP. From there, you'll learn how these building blocks come together to create AI assistants and agents capable of reasoning and taking action. You'll explore the ReAct architecture, build your first agentic application, and progress toward advanced agent architectures and multi-agent systems. You'll learn proven agent patterns and anti-patterns that help you make better architectural decisions as your applications scale. In the later chapters, you'll learn how to test LLMs and agents, manage APIs, deploy agentic applications, apply responsible AI practices, and build an agent harness that provides the structure and guardrails agents need to operate reliably. By the end, you'll understand the complete journey from integrating your first LLM to engineering production-ready intelligent applications that can retrieve information, use tools, reason, collaborate, and take action.What you will learnIntegrate LLMs into web apps and extend their capabilities with tool calling and external systemsBuild RAG pipelines that ground AI applications in relevant business and application dataUse MCP to connect AI applications with tools, resources, and capabilitiesBuild intelligent AI agents using ReAct, advanced agent architectures, and multi-agent patternsTest and evaluate LLMs and agents to improve reliability and accuracyBuild an agent harness with the context, tools, guardrails, and infrastructure needed to take AI applications into productionWho this book is forThis book is for full-stack developers, software architects, and AI practitioners looking to build intelligent, agent-driven web applications. It's also valuable for tech leads and product managers working on AI-powered products. If you have a basic understanding of web development and want to move beyond simple AI integrations into autonomous, production-ready agent systems, this book will give you the frameworks, tools, and hands-on experience to get there. |
| Συγγραφείς: | Christoffer Noring |
| Resource Type: | eBook. |
| Categories: | COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python, COMPUTERS / Internet / Web Services & APIs |
| Βάση Δεδομένων: | eBook Index |
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