Explore how to orchestrate GPT 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.
Overview
Syllabus
Getting Started with OpenAI Responses API
- Building Your First GPT Interaction
- Extracting Response Data from GPT
- Building Multi-Turn Conversations with GPT
- Optimizing Requests with Minimal Reasoning
- Exploring Reasoning Summaries in GPT Responses
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
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
Speeding Up Workflows with Parallelization
- Converting Synchronous GPT Code to Async
- Parallel GPT API Calls with asyncio.gather()
- Aggregating Parallel Research Results into a Unified Travel Guide
