OpenAI Agents SDK: Build Multi-Agent AI Systems in Python

About this course

Build Production-Ready AI Agents Using the OpenAI Agents SDK in PythonMost tutorials stop at a single agent calling a single tool. This course goes the other ninety percent of the way: multi-agent orchestration, guardrails, structured outputs, real-time streaming, and full observability, all in Python, all built on OpenAI's own official SDK.You will start with your first agent and end by building a complete multi-agent research assistant, live, line by line, in the course capstone. Along the way you will learn how to equip agents with function tools and hosted tools, stream responses in real time, route conversations between specialist agents with handoffs and triage logic, protect your pipelines with input and output guardrails, and debug and monitor everything you build using the SDK's built-in tracing and the OpenAI dashboard.

Every lecture ships with a Google Colab notebook you run yourself. There is no local setup, no virtual environment, and no TypeScript; this course is Python only, from the SDK's own official Python interface.

Here is what you will be able to do by the end of this course:

• Build and configure agents using the OpenAI Agents SDK, from your first agent through advanced configuration and structured outputs
• Equip agents with function tools, hosted tools, and multi-agent handoffs to complete real, multi-step tasks
• Stream agent responses in real time and manage runs with full control over configuration and context
• Orchestrate multi-agent systems using handoffs, triage routing, and parallel execution with asyncio
• Protect agent pipelines with input and output guardrails that block invalid requests before they cost you time or money
• Debug and monitor agents using the SDK's built-in tracing, the OpenAI dashboard, and lifecycle hooks
• Track token usage and cost across multi-agent runs, a skill most courses skip entirely

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