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portada enAI Function Calling Mastery: Practical Patterns for Reliable Tool Use and API Automation
Type
Physical Book
Publisher
Author
Language
English
Pages
276
Format
Paperback
ISBN13
9798178702598

enAI Function Calling Mastery: Practical Patterns for Reliable Tool Use and API Automation

Johnson, Robert U. (Author) · Independently published · Paperback

enAI Function Calling Mastery: Practical Patterns for Reliable Tool Use and API Automation - Johnson, Robert U.

New Book Imported to Taiwan
Delivery: 06 Nov - 16 Nov Shipping: 5 to 6 business days.
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NT$ 1,442

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Synopsis "enAI Function Calling Mastery: Practical Patterns for Reliable Tool Use and API Automation"

**OpenAI Function Calling Mastery: Practical Patterns for Reliable Tool Use and API Automation** is a practical, forward-looking guide for developers, architects, and AI practitioners building reliable tool-using systems with OpenAI models. It explores the core principles behind function calling, including schema design, intent detection, structured outputs, and safe invocation patterns, while showing how to design assistants that can translate natural language into dependable actions across APIs, databases, and internal services. The book emphasizes production-ready implementation, with clear guidance on prompt engineering, multi-step orchestration, error handling, and compatibility across evolving model and API interfaces. Readers will learn how to build robust workflows that manage dialogue context, validate inputs, recover gracefully from failures, and maintain consistent behavior in real-world environments. Along the way, it covers practical integration techniques for external systems, observability, logging, testing, and deployment pipelines that support maintainability at scale. Beyond the mechanics, **OpenAI Function Calling Mastery** addresses the operational realities of secure and responsible automation, including access control, privacy, auditability, and compliance considerations. It also looks ahead to emerging patterns in autonomous agents, cross-modal tool use, and standards for interoperable AI systems. The result is a concise but comprehensive handbook for anyone who wants to turn LLMs into reliable, well-governed automation tools.

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The binding of this edition is Paperback.

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