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CodeSignal

Exploring Workflows with GPT-5 in Python

via CodeSignal

Overview

Explore how to orchestrate GPT-5 through common workflow patterns using the Responses API. Master strategies for decomposing complex tasks, routing work efficiently, and executing parallel operations using only prompt engineering and API call orchestration.

Syllabus

  • Unit 1: Getting Started with OpenAI Responses API
    • Building Your First GPT-5 Interaction
    • Extracting Response Data from GPT-5
    • Building Multi-Turn Conversations with GPT-5
    • Optimizing Requests with Minimal Reasoning
    • Exploring Reasoning Summaries in GPT Responses
  • Unit 2: Breaking Down Tasks with Prompt Chaining
    • Building Your First Prompt Chain Link
    • Adding Validation Guardrails to Your Prompt Chain
    • Fine-Tuning Validation Guardrails in Prompt Chains
    • Complete the Translation Chain Step
    • Adding Translation Quality Review to Your Prompt Chain
  • Unit 3: Building Intelligent Task Routers
    • Building a Router System Prompt for Task Classification
    • Mapping Router Decisions to Specialist Prompts
    • Completing the Routing Workflow with Specialist Response
    • Extending Your Routing System with a Science Specialist
  • Unit 4: Speeding Up Workflows with Parallelization
    • Converting Synchronous GPT-5 Code to Async
    • Parallel GPT-5 API Calls with asyncio.gather()
    • Aggregating Parallel Research Results into a Unified Travel Guide

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