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A rigorous engineering guide to designing and building a production-grade, provider-agnostic LLM integration library. This book takes you from foundational architectural principles through a complete reference implementation, covering everything from API design and provider adapters to reliability patterns, observability, security, and production operations. Every concept is demonstrated with full runnable code in a cohesive Python codebase that evolves across the chapters. Targeted at experienced software engineers, backend developers, library authors, and systems architects who need to build reliable LLM integrations without vendor lock-in or reliability trade-offs.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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