OpenAI Agents SDK Handoffs - Deep Dive Tutorial

Overview

Dive into OpenAI Agents SDK handoffs to build multi-agent workflows with web search, RAG, and code execution agents using the latest LLMs like gpt-4.1-mini and gpt-4.1.

Syllabus

• Introduction to OpenAI Agents SDK
Overview of Multi-Agent Systems
Benefits of Using Agents: Web Search, RAG, and Code Execution
• Setup and Configuration
Installation of SDK
Environment Setup and Requirements
• Understanding SDK Architecture
Key Components and Workflows
Integration with LLMs (gpt-4.1-mini, gpt-4.1)
• Building Web Search Agents
Designing and Implementing Search Strategies
Leveraging APIs for Enhanced Search Capabilities
• Developing RAG (Retrieval-Augmented Generation) Agents
Concepts of RAG and its Applications
Implementation Best Practices
• Creating Code Execution Agents
Setting Up Secure Code Execution Environments
Automating Code Execution with LLM Support
• Advanced Agent Orchestration
Multi-Agent Workflow Design
Managing Inter-Agent Communication
• Troubleshooting and Optimization
Debugging Agent Interactions
Enhancing Agent Performance and Accuracy
• Case Studies and Application Scenarios
Real-world Use Cases
Evaluating Success in Multi-Agent Deployments
• Future Trends and Innovations in Agent-based Systems
Emerging Technologies in AI Agents
The Future Impact of Advanced LLM Integration
• Capstone Project
Designing and Implementing a Multi-Agent System
Project Presentation and Feedback
• Conclusion and Next Steps
Further Learning Resources
Networking and Community Engagement Opportunities

Subjects

Computer Science