OpenAI Agents SDK Clearly BEATS CrewAI & LangGraph?

OpenAI Agents SDK Clearly BEATS CrewAI & LangGraph?

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AI Summary

Summary of Video: New Tools for Building Agents

1. Introduction to New Tools
   • OpenAI has introduced new tools for building agents and updates on the responses API.
   • Responses API replaces the chat completions API to enhance agentic behavior.
2. New Features
   • Built-in tools for web search, file search, and computer usage.
   • Swarm agents replaced by agents SDK with observability tools.
   • Potential for agents SDK to outperform existing frameworks like graph rag.
3. Implementation Steps
   • Setting up the Environment:
     • Use pip install openai to install the OpenAI library.
     • Export OpenAI API key.
   • Creating a Chatbot:
     • Create app.py with the new responses API and set up a simple meal planner chatbot.
     • Example code demonstrates handling user input and generating responses.
   • Adding Built-in Tools:
     • Use tools like web search and file search to enhance chatbot functionality.
     • Instructions for setting up a vector store on OpenAI’s platform to utilize file search.
   • Running Code and Outputs:
     • Run commands using Python to see chatbot outputs and how to respond to user queries.
     • Example search and responses will be shown on output.
4. Agents SDK
   • Explanation on using agents SDK to create agents similar to swarm agents.
   • Easily adaptable to various functions like meal planning.
   • Code examples provided for creating agents and executing tasks.
5. Observability Tools
   • Monitoring agent activities via platform.opai.com.
   • Access to traces showing agent workflows and responses.
6. Conclusion
   • Overall excitement about the enhancements provided in the agents SDK and responses API.