AutoGen Custom Tool - How to Create a Tool and Integrate with AI Agent?

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AI Summary

Autogen Custom Tool Integration Summary

• Introduction
  • Excitement about demonstrating Autogen C system tools.
  • Creation of a circumference tool using Langchain.
  • Encouragement to subscribe to the YouTube channel for AI content.
• Environment Setup
  • Use Conda to create an isolated virtual environment.
  • Install necessary packages with pip.
  • Export OpenAI API key.
• Custom Tool Creation
  • Write app.py and import required modules.
  • Define a custom circumference tool with a single radius field.
  • Implement a function to calculate circumference.
• Integration with Autogen
  • Create a function to get the file path for radius.txt.
  • Set up LLM configuration to include the read file and circumference tools.
  • Construct LM config to define the schema for the tools.
• User Agent and Circumference Agent
  • Register the tools with a user proxy agent.
  • Create circumference agents and assign them the LM config.
  • Initialize chat with tasks to read the file and calculate circumference.
• Execution and Output
  • Run the code in the terminal.
  • Observe the agents working together to output the circumference.
• Integration with Olama
  • Download and set up Olama.
  • Export model name and API base.
  • Run the code to use the LL 2 model with the custom tool.
• Conclusion
  • Possibility to integrate any open-source large language model with Autogen.
  • Anticipation for future related videos.
  • Call to action for likes, shares, and subscriptions.