06742nam a22004693i 4500 000729861 MiAaPQ 20260207165040.0 m o d | cr cnu|||||||| 260207s2025 xx o ||||0 eng d NEZPRACOVANÝ IMPORT 9781806112005 (electronic bk.) (MiAaPQ)EBC32321860 (Au-PeEL)EBL32321860 (OCoLC)1543219244 Habib, Henry. Building Agents with OpenAI Agents SDK : Create Practical AI Agents and Agentic Systems Through Hands-On Projects. 1st ed. Birmingham : Packt Publishing, Limited, 2025. ©2025. 1 online resource (277 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Cover -- Title Page -- Copyright Page -- Contributors -- Table of Contents -- Preface -- Your Book Comes with Exclusive Perks - Here's How to Unlock Them -- Part 1: AI Agents -- Chapter 1: Introduction to AI Agents -- Technical requirements -- Overview of AI agents -- What is an AI agent? -- Understanding AI agents with a simple analogy -- Strengths and weaknesses of AI agents versus traditional systems -- Practical applications of AI agents -- Productivity gains -- Better interactivity -- New businesses -- Build methodology of AI agents -- Anatomy of an AI agent -- Model -- Tooling interface -- Memory and knowledge -- Design patterns -- CoT -- ReAct (Reasoning + Acting) -- Planner-execution -- Hierarchical/multi-agent -- Summary -- Chapter 2: Introduction to OpenAI Agents SDK -- Technical requirements -- Design features of OpenAI Agents SDK -- Framework for building AI agents -- Multi-agent orchestration -- Minimal abstraction -- Pythonic, extensible, and open sourced -- Core primitives -- Agent -- Runner -- Tools -- Handoff -- Guardrails -- Tracing -- Summary -- Chapter 3: Environment Setup and Developing Your First Agent -- Technical requirements -- Environment setup -- Python version and dependencies -- Project directory, virtual environment, and installations -- Registering for OpenAI API and setting up the API key -- Verifying the environment setup -- Alternative methods: Google Colab -- Development prerequisites -- Python functions architecture -- Python asynchronous programming -- Python Pydantic data validation -- Developing your first AI Agent -- A simple customer service agent -- Adding a tool -- Adding a handoff -- Summary -- Part 2: OpenAI Agents SDK -- Chapter 4: Agent Tools and MCPs -- Technical requirements -- Using custom tools with Python functions -- Defining a new tool -- Agent and tool behavior -- Tool choice. Tool use behavior -- Complex tool inputs with Pydantic -- Examples of custom tools -- Arithmetic computation tool -- External API call tool -- Database query tool -- Chained tool calls -- OpenAI hosted tools -- WebSearchTool -- FileSearchTool -- ImageGenerationTool -- CodeInterpreterTool -- Handoff versus agent-as-tool patterns -- Functionality -- MCP -- What is MCP? -- Adding an MCP server as a tool -- Summary -- Chapter 5: Memory and Knowledge -- Technical requirements -- Working memory -- Managing inputs and responses -- Chat conversations -- Conversation management with Sessions -- Managing large conversation threads -- Sliding message window -- Message summarization -- Long-term memory -- Persistent message logs -- Structured memory recall -- Training knowledge -- Retrieved knowledge -- Unstructured data -- Document ingestion -- Retrieval -- Using vector stores and FileSearchTool in the Agents SDK -- Limitations -- Summary -- Chapter 6: Multi-Agent Systems and Handoffs -- Technical requirements -- Multi-agent orchestrations -- Deterministic orchestration -- Dynamic orchestration -- Handoffs in OpenAI Agents SDK -- Introduction to handoffs -- Multi-agent switching -- Customizing handoffs -- Handoff prompting -- Multi-agent patterns -- Centralized system -- Hierarchical system -- Decentralized system -- Swarm system -- Summary -- Chapter 7: Model and Context Management -- Technical requirements -- Model management -- Adjusting the underlying model -- Adjusting the model settings -- Third-party models -- Context management -- Local context -- Summary -- Chapter 8: Agent System Management -- Technical requirements -- Agent visualization -- Guardrails -- Input guardrails -- Output guardrails -- Logging, tracing, and observability -- Custom traces and spans -- Grouping multiple traces and spans together -- Disabling traces -- Agent testing. End-to-end testing -- Unit testing -- Summary -- Part 3: Build AI Agents -- Chapter 9: Building AI Agents and Agentic Systems -- Technical requirements -- Building a customer service employee AI agent -- Setting up the database -- Setting up a vector store -- Creating a function tool to query data -- Creating a vector store search tool -- Creating an input guardrail -- Creating a retention agent -- Creating a customer service agent -- Building the runner -- Testing the agent -- Orchestrating an automated multi-agent workflow -- Setting up a customer database -- Setting up the transcripts JSON -- Creating function tools to retrieve data and search the web -- Creating the customer research agent -- Creating the email creation agent -- Orchestrating the workflow -- Testing the workflow -- Summary -- Packt Page -- Other Books You May Enjoy -- Index -- Blank Page. Master OpenAI's Agents SDK to design production-ready AI agents and agentic systems that solve real-world problems with practical guidanceGet your book with a free PDF, AI Assistant, and Next-Gen Reader Key Features Gain a complete understanding of the OpenAI Agents SDK features including models, tools, memory, guardrails, orchestration, tracing. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2026. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. elektronické knihy fd186907 czenas electronic books eczenas Print version: Habib, Henry Building Agents with OpenAI Agents SDK Birmingham : Packt Publishing, Limited,c2025 ProQuest (firma) ko2008435111 https://ebookcentral.proquest.com/lib/vsep/detail.action?docID=32321860 Plný text https://knihovna.vse.cz/zdroje/proquest-ebook-central/?info Informace o práci s e-knihami PQ-OWNED EB NEPOSILAT EB