9798198280311 - designing multi-agent systems with nlweb and mcp: orchestrate interoperable networks of specialized ai agents to discover, query, and process web data ... (the ai systems architect series, band 1) von dunavant, clinton s. (3 Ergebnisse)
Sprache: Englisch
Verlag: Independently published, 2026
- Softcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 26,07
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Independently published, 2026
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 24,10
EUR 4,86 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Independently Published Mai 2026, 2026
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 31,00
EUR 61,71 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - Designing Multi-Agent Systems with NLWeb and MCP: Orchestrate Interoperable Networks of Specialized AI Agents to Discover, Query, and Process Web Data at ScaleBuild agentic web systems that move beyond fragile scraping, scattered APIs, and isolated chatbots.Modern AI teams need more than prom…pts. They need agents that can discover tools, query structured web data, coordinate with other agents, route tasks safely, and process live information without breaking every time a website changes. How do you design that kind of system without creating a brittle mess of scripts, tokens, and unreliable automation Designing Multi-Agent Systems with NLWeb and MCP gives developers, architects, and AI engineers a practical blueprint for building interoperable networks of specialized AI agents using Microsoft NLWeb, Model Context Protocol, structured retrieval, tool routing, and production-ready orchestration patterns. The manuscript positions NLWeb and MCP as core building blocks for machine-to-machine web interaction, with coverage of MCP server architecture, NLWeb ask workflows, vector pipelines, specialized retrieval agents, AgentFinder, DataFinder, multi-agent handoffs, cost engineering, and enterprise guardrails.Inside, you'll learn how to: - Set up reliable Python and Node.js environments for agent systems- Build MCP servers, tools, resources, prompts, and structured payloads- Connect NLWeb-style query flows to semantic search and live data sources- Design specialized agents for search, comparison, routing, and task handoff- Improve cost, latency, token efficiency, validation, and production safety- Apply security gates, human approvals, and deployment-ready guardrailsThis book is for software engineers, AI engineers, system architects, backend developers, and technical leaders who want to build practical agentic web infrastructure instead of one-off automation scripts.
