{ "item_title" : "Durable AI Agents with Temporal", "item_author" : [" Lucian Verne "], "item_description" : "Building an AI agent is exciting. Keeping it reliable when APIs fail, workers restart, approvals take hours, or tools run twice is the real challenge.Durable AI Agents with Temporal shows you how to build AI workflows that are designed to survive real production conditions.You do not need prior experience with Temporal, MCP, durable workflow engines, or distributed systems. With basic familiarity with Python and APIs, you can follow the book step by step as you build a practical Durable Research-to-Action Operations Agent from the ground up.Instead of overwhelming you with theory or huge code listings, the book introduces each concept in manageable stages. You will run the system, inspect what happens, test failures, fix problems, and build confidence through small, working milestones. Mistakes are treated as part of the learning process, not something to fear.Key FeaturesPractical, step-by-step introduction to Temporal durable executionReliable LLM and agentic AI workflow orchestrationRetrieval and Model Context Protocol (MCP) integrationDurable human-in-the-loop approvalRetries, timeouts, checkpoints, and long-running workflowsIdempotency and protection against duplicate side effectsSaga compensation for recovering partial operationsTesting, replay verification, and failure injectionSecurity, prompt-injection protection, auditing, and observabilityDocker, CI/CD, Temporal Cloud, Worker Versioning, and rollbackWhat You Will LearnYou will learn how to: Separate deterministic Workflow logic from external ActivitiesBuild AI agents that recover after worker and dependency failuresGenerate and validate structured LLM plansIntegrate retrieval and governed MCP toolsPause safely for human approval and resume hours or days laterManage Workflow state, agent context, and long-running operationsPrevent duplicate external actionsTest failures before they happen in productionMonitor logs, metrics, traces, model usage, and costDeploy and operate reliable AI-agent systemsWho Is This Book For?This book is ideal for Python developers, AI application builders, students, self-learners, software engineers, and professionals who want to understand production AI systems without needing previous Temporal or distributed-systems experience.Table of ContentsChapter 1: Engineering AI Agents for Real Production ConditionsChapter 2: Workflows, Activities, Workers, and Durable RecoveryChapter 3: Building Reliable LLM Planning and ExecutionChapter 4: Retrieval, Tools, and MCP IntegrationChapter 5: Workflow State, Agent Memory, and Long-Running ExecutionChapter 6: Human Approval and Resumable Agent WorkflowsChapter 7: Idempotency, Side Effects, and CompensationChapter 8: Testing and Evaluating Durable AI AgentsChapter 9: Securing, Auditing, and Observing Durable AgentsChapter 10: Docker, CI/CD, Deployment, and Production OperationsStop building AI agents that only work when everything goes right. Start building systems that can recover when things go wrong.Begin Durable AI Agents with Temporal today and turn fragile AI prototypes into reliable, production-ready workflows-one practical step at a time.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/819/136/9798191362380_b.jpg", "price_data" : { "retail_price" : "37.99", "online_price" : "37.99", "our_price" : "37.99", "club_price" : "37.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details