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References: The OpenAI Ecosystem

  1. OpenAI - Wikipedia - Company history, the GPT product line, and the org structure that produced the APIs covered in this chapter.

  2. GPT-4 - Wikipedia - Detailed coverage of the GPT-4 family including GPT-4o and GPT-4o-mini variants used in this textbook's routing examples.

  3. ChatGPT - Wikipedia - Background on the consumer interface that drove the Chat Completions API design covered in this chapter.

  4. AI Engineering - Chip Huyen - O'Reilly - Chapters on prompt engineering, function calling, and structured outputs cover the patterns this chapter shows in OpenAI-specific form.

  5. Building LLMs for Production - Louis-François Bouchard, Louie Peters, and others - Towards AI - Practical chapters on the OpenAI ecosystem including Function Calling and Structured Outputs that complement this chapter's examples.

  6. OpenAI Platform Documentation - OpenAI - Authoritative reference for Chat Completions, Responses API, embeddings, and the full set of OpenAI endpoints used in this chapter.

  7. OpenAI Cookbook - OpenAI - Curated runnable examples for function calling, structured outputs, and cost-aware patterns; ideal companion to this chapter's code samples.

  8. OpenAI Function Calling Guide - OpenAI - Reference for tool definition schema, tool_choice parameter, and the multi-turn function-calling pattern; the OpenAI analogue to Anthropic's tool use covered in Chapter 4.

  9. OpenAI Structured Outputs Guide - OpenAI - Documentation for the response_format parameter and JSON Schema enforcement; relevant to Chapter 17's output-control discussion.

  10. OpenAI Codex CLI - OpenAI GitHub - The official Codex CLI repository covered in Chapter 7 as the OpenAI counterpart to Claude Code; includes installation, configuration, and usage examples.