How to Build an Agent with the OpenAI Agents SDK

How to Build an Agent with the OpenAI Agents SDK

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AI Summary

Overview

OpenAI has released an upgraded version of the Swarm SDK, the Agents SDK, allowing the creation of multi-agent systems. This video explores building a basic agent system using the new framework.

Key Steps and Components

1. Installation and Setup
   • Install the OpenAI Agents framework using your OpenAI key.
   • Create an In-N-Out Burger chatbot as a demonstration.
2. Building Agents
   • Two main classes are introduced: Agent and Runner.
     • Agent: Assembles the agent by passing in a name, instructions, and model.
     • Runner: Runs the agent with methods for synchronous, asynchronous, and streaming execution.
3. Running the Agent
   • Synchronous Run: Use runner.run_sync() with input strings.
   • Asynchronous Run: Use await runner.run() for concurrent requests.
   • Streaming Response: Use runner.run_streamed() for live data retrieval.
4. Integrating Tools
   • Incorporate tools for specific functions, such as tax calculation.
   • Create hardcoded tax rates and use a tool to calculate and return tax on orders.
   • Use web search tools to further enhance capabilities (e.g., McDonald’s prices).
5. Multi-Agent Communication
   • Develop an orchestrator agent (e.g., DoorDash) that calls other agents for specific tasks. It can handle requests like price comparisons between items from different fast food chains.
6. Session Memory
   • Implement session memory to recall user interactions dynamically, allowing for follow-up questions and continuity in conversation.
   • Demonstration of maintaining context with various user inputs and responses.

Conclusion

The video outlines the simplicity of starting with OpenAI’s Agents SDK and hints at more advanced topics for future exploration, such as structured responses and guardrails. Viewers are encouraged to engage with the speaker about ideas for new agents and frameworks they are building.