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GPT Wire Quest

Updated: 2026-05-04

OpenAI API wiring, end to end — Responses, tools, streaming, raw HTTP, production agents

Wire OpenAI APIs into product code without hiding the contract. From Chat Completions and Responses to streaming, function calling, vision, raw httpx, and production agent patterns.

8 tracks · 54 lessons · ~40h · difficulty: beginner-to-advanced

Level 0Tokenizer
0 XP0/54 lessons0/10 achievements
0/120 XP to next level120 XP to go0% complete
GPT Wire Quest is the OpenAI provider-wiring branch of the C.W.K. quest line. It is not a vocabulary tour and not a 'reply in JSON' starter pack. The goal is muscle memory: how the wire actually looks, where the model's contract is, and what a production agent has to do beyond a hello-world request. You will learn the shape of every request and response (Chat Completions and Responses), how to stream tokens and semantic events, how to design tools that route correctly under tool_choice='auto', when to leave the SDK behind for raw httpx, and the patterns (adapter, fallback, JSONL ground truth, replay-based testing, security posture) that separate a demo agent from a deployed one. Every example uses 2026 model names (gpt-5.x, gpt-4.1, o-series, gpt-image-1.5) and current API surfaces. Code blocks are runnable, documentation links are official, and the production-track lessons mirror the actual decisions cwkPippa makes in its multi-vessel architecture. By the end you will not 'know about' the OpenAI API — you will have wired it.

Tracks

  1. 01🧱OpenAI API Fundamentals

    0/8 lessons

    Roles, models, tokens, auth, rate limits, parameters

    Wire the contract before the cleverness. Roles and message shape, the 2026 model lineup, token economics, authentication, rate limits, and the parameters that actually move behavior.

    Lesson list (8)Quiz · 6 questions
  2. 02🐍Python SDK

    0/7 lessons

    Sync, async, streaming, errors, structured outputs

    The official openai Python package end to end. Install, configure, sync vs async clients, response objects, streaming chunks, retries, and Pydantic-shaped structured outputs.

    Lesson list (7)Quiz · 5 questions
  3. 03🌊Responses API

    0/7 lessons

    Stateful sessions, built-in tools, semantic events

    OpenAI's recommended new-shape API. Why it exists, how it differs from chat.completions, input formats, hosted tools, custom function tools, multi-turn sessions via previous_response_id, background mode, and reasoning controls.

    Lesson list (7)Quiz · 5 questions
  4. 04⏱️Streaming Deep Dive

    0/6 lessons

    SSE wire format, semantic events, token renderers

    Real-time delivery without papering over the wire. Why streaming matters for UX, the Chat Completions delta shape, the Responses semantic event shape, function-call streaming, raw SSE parsing, and a production-quality token renderer.

    Lesson list (6)Quiz · 5 questions
  5. 05🔧Function Calling / Tool Use

    0/7 lessons

    Schemas, strict mode, tool loops, parallel calls

    Tools are how the model crosses into your runtime. Schema design, strict mode, the tool decision boundary, multi-turn tool loops, parallel calls, error handling, and descriptions that actually steer behavior.

    Lesson list (7)Quiz · 6 questions
  6. 06👁️Vision & Multimodal

    0/5 lessons

    Images in, images out, audio, PDFs

    Multimodal in production: sending images by URL or base64, detail levels and cost, image generation with gpt-image-1.5, the audio APIs (TTS / transcription / realtime), and structured outputs over PDF understanding.

    Lesson list (5)Quiz · 5 questions
  7. 07Raw HTTP — Building Without the SDK

    0/7 lessons

    httpx, OAuth, SSE parsing, custom adapters

    When the SDK is in the way: httpx requests, hand-built request bodies, streaming with httpx.stream, OAuth bearer tokens, the multi-turn tool loop without the SDK, and the Adapter pattern that lets one app speak to many providers.

    Lesson list (7)Quiz · 5 questions
  8. 08🏗️Production Agent Patterns

    0/7 lessons

    Adapters, sessions, fallbacks, cost, logging, security

    Production-grade agent wiring: provider adapters, tool-loop orchestration, session state, fallback chains, cost and rate-limit management, JSONL logging plus replay-based testing, and the security boundary every public deploy needs.

    Lesson list (7)Quiz · 6 questions
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