Overview

Unlock the full power of generative AI and take your engineering skills from foundational to elite with the most comprehensive developer's guide ever published. OpenAI & Google SDKs Explained is the definitive all-in-one resource for designing, building, and scaling production-ready AI applications. Whether you are a software engineer completely new to Large Language Models (LLMs) or a seasoned developer looking to deepen your expertise in the industry's two most powerful ecosystems, this book guides you step-by-step from raw API calls to advanced, autonomous agent architectures. Inside, you'll discover how to: Configure & Secure Your Laboratory: Master the essential setup for Python and Node.js, including virtual environments, secret management, and cross-platform authentication protocols. Master the OpenAI Ecosystem: Deep dive into the Chat Completions API, structured outputs with Pydantic, and the stateful world of the Assistants SDK. Scale with Google Gemini: Leverage the massive two-million-token context window, native multimodality for video and audio, and enterprise-grade grounding with Google Search. Build Private Intelligence with RAG: Design high-performance Retrieval-Augmented Generation pipelines using vector databases, custom embedding models, and reranking strategies. Architect Agentic Workflows: Move beyond ""chat"" to ""action"" by implementing function calling, tool use, and self-healing loops that allow AI to interact with the real world. Deploy & Monitor at Scale: Navigate the complexities of LLMops-managing rate limits, optimizing token costs, and implementing robust CI/CD for non-deterministic systems. Unlike fragmented documentation or surface-level tutorials, this book delivers a complete engineering journey-blending rigorous theory, hands-on architectural patterns, and best practices from real-world AI deployments. By the end, you won't just ""call an API""; you'll engineer strategic, scalable, and secure AI systems that define the next generation of software.

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