100% Local OpenAI Agents with Ollama in 8 mins!

100% Local OpenAI Agents with Ollama in 8 mins!

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AI Summary

Summary of the YouTube Video: Creating Local AI Agents with OpenAI’s SDK

Overview

• Introduction to OpenAI Agents SDK for creating AI agents locally and privately for free using Olam.
• Focus on creating a research or internet search agent with a custom tool.

Steps

1. Set Up Environment
   • Go to ama.com to download Olam.
   • Use the Llama 3.2 model.
   • Terminal Command: olama pull llama 3.2 to download the model.
   • Install required packages:

     pip install openai-agent chainlit    

   • Create a file app.py.
2. Create a Single Agent
   • Import necessary functions and initialize the model.
   • Create a simple agent that generates a meal plan using:

     agent equals agent_name then model then final result runner.run_sync    

   • Run the code with Python app.py to see the output.
3. Create Custom Tool and Multiple Agents
   • Install the DuckDuckGo search package:

     pip install duckduckgo-search    

   • Define the internet search tool using DuckDuckGo.
   • Create a news agent and editor agent to fetch and refine news articles.
   • Define a function to execute the workflow, passing data between agents.
   • Run the code using a specified topic for news search.
4. Create User Interface
   • Modify the code to handle user inputs via a chatbot interface.
   • On user input, pass the topic to the news workflow for results.
   • Initialize the UI with chainlit run ui.py.

Conclusion

• Successfully created multiple agents and a custom tool to search the internet locally for news articles.
• Final output formatted and displayed in the user-friendly interface.
• Encouragement to try creating similar AI agents locally and invitation to engage in comments.