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Skalierbare KI-Agenten mit Claude AI: Ein praktischer Leitfaden zum Entwerfen Serienreife autonome Systeme
Paperback
Publisher: Independently Published
Published: May 27 2026
Pages: 166
Weight: 0.51
Height: 0.38 Width: 6.00 Depth: 9.00
Language: German
Der Unterschied zwischen einem Agent, der funktioniert, und einem, der skaliert, ist die Architektur.
Skalierbare KI-Agenten mit Claude AI ist das technische Handbuch für Cloud-Architekten, Site-Reliability-Engineers und Data-Infrastructure-Leads, die mit den harten Realitäten von KI-Systemen unter Produktionslast konfrontiert sind: API-Ratenbegrenzungen, Kontextüberlauf, Timeout-Kaskaden und Backpressure-Probleme. Dieses Buch löst sie alle - systematisch und mit produktionserprobten Mustern.
Starten Sie mit den Grundlagen der asynchronen Architektur: Jede Schicht des Agenten wird als vollständig asynchrones System mit asyncio entworfen, von der Wahrnehmungsschleife bis zur Werkzeugausführung. Bauen Sie warteschlangenbasierte Pipelines mit Redis, die Burst-Traffic puffern, Prioritäten routen und Dead-Letter-Queues für fehlerhafte Tasks verwalten. Implementieren Sie PostgreSQL mit pgvector für persistenten Agenten-State über Millionen von Invokationen hinweg, kombiniert mit intelligentem semantischem Result-Caching.
Das Buch deckt den vollständigen Produktions-Stack ab: Token-Bucket-Ratenbegrenzer, adaptive Parallelitätssteuerung, prioritätsbasierte Request-Planung und Kubernetes-Deployment-Manifeste mit automatischem Autoscaling. Prometheus-Monitoring-Setups - abgestimmt auf die vier goldenen Signale für Agentensysteme - sorgen dafür, dass Sie Performance-Degradation erkennen, bevor sie Ihre Nutzer trifft.
Für Engineers, die von zehn auf zehn Millionen Anfragen skalieren müssen, ohne die Qualität ihrer Agenten-Ausgaben zu kompromittieren. Vollständige Codebeispiele für Python 3.11+, asyncio, Redis, PostgreSQL, pgvector und Kubernetes.
Bauen Sie für die Last, die kommen wird.
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