Kick off your journey with the OpenAI Agents SDK by learning how to run your first agent, explore its results, and format outputs effectively. This course also introduces asynchronous and streamed execution to give you flexibility in building responsive applications.
Overview
Syllabus
- Unit 1: Running Your First OpenAI Agent
- Defining Agent Instructions
- Choosing a Model for Your Agent
- Tuning Your Agent’s Responses
- Debugging an OpenAI Agent
- Build Your Own Joke Agent
- Unit 2: Inspecting and Understanding Agent Result Properties
- Exploring Agent Result Properties
- Exploring Agent Steps
- Filtering Message Output Items
- Exploring Language Model Raw Responses
- Tracking Agent Usage Metrics
- Unit 3: Structuring Agent Outputs with Pydantic Models
- Structuring Agent Output with Pydantic
- Debugging Structured Agent Output
- Expanding Your Agent Output Model
- Accessing Structured Agent Output Fields
- Designing a Custom Travel Budget Model
- Unit 4: Asynchronous and Streamed Agent Execution Modes
- Async Agent Execution in Action
- Running Multiple Agents in Parallel
- Streaming Agent Events in Real Time
- Displaying Streamed Agent Responses
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