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OpenClaw AI in Production. Architecture, design patterns, and engineering practices for AI agent platforms Ken Huang

Książka w języku angielskim angielski
OpenClaw AI in Production. Architecture, design patterns, and engineering practices for AI agent platforms Ken Huang - okladka książki

OpenClaw AI in Production. Architecture, design patterns, and engineering practices for AI agent platforms Ken Huang - okladka książki

OpenClaw AI in Production. Architecture, design patterns, and engineering practices for AI agent platforms Ken Huang - audiobook MP3

OpenClaw AI in Production. Architecture, design patterns, and engineering practices for AI agent platforms Ken Huang - audiobook CD

Autor:
Ken Huang
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
422
Dostępne formaty:
     PDF
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Shipping a working agent prototype is easier than keeping it reliable under concurrent sessions, real-world tool failures, and adversarial inputs. Most AI tutorials leave this engineering discipline unaddressed.
This book works through that discipline using OpenClaw, an open-source AI agent operating system, as a practical reference platform. Each chapter opens with a realistic production challenge, such as a cascade failure or a prompt injection attempt, then dissects the relevant OpenClaw internals, identifies the pattern that addresses it, and closes with an implementation checklist and a hands-on exercise.
You will move through the six-phase request pipeline, distributed session state and compaction, zero-trust identity and policy-based access control, hook-based observability and self-correcting stacks, chaos engineering for agent runtimes, and high-throughput concurrency patterns. Security is not treated as a final chapter. Token exchange, mTLS, and sandboxing appear throughout the book and within every architectural section, just as they should in the systems you build.
By the end, you will be able to design, operate, and scale production AI agent platforms with the engineering rigor of distributed databases and service meshes, and extend them to federated, edge-deployed, and decentralized architectures.
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O autorze książki

Ken Huang is a renowned AI expert, serving as co-chair of AI Safety Working Groups at Cloud Security Alliance and the AI STR Working Group at World Digital Technology Academy under the UN Framework. As CEO of DistributedApps, he provides specialized GenAI consulting.
A key contributor to OWASP's Top 10 Risks for LLM Applications and NIST's Generative AI Working Group, Huang has authored influential books including Beyond AI (Springer, 2023), Generative AI Security (Springer, 2024), and Agentic AI: Theories and Practice (Springer, 2025)
He's a global speaker at prestigious events such as Davos WEF, ACM, IEEE, and RSAC. Huang is also a member of the OpenAI Forum and project leader for the OWASP AI Vulnerability Scoring System project.

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