AutoGen Tutorial | ANY Open-Source LLM using LMStudio with MemGPT

AutoGen Tutorial | ANY Open-Source LLM using LMStudio with MemGPT

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AI Summary

Video Summary: Connecting LM Studio to Autogen and MGPT

• Introduction: Using LM Studio to connect a local open-source LLM to Autogen and MGPT.

• Getting Started with LM Studio:

  • Download and install LM Studio from LM Studio.
  • Launch the application and search for open-source LLMs (e.g., Mistral).
  • Download desired model (e.g., Mistral Q2).

• Loading the Model:

  • After downloading, select the model and start the server.
  • Use the Local Host URL to connect to Autogen without needing an API key.

• Setting Up Autogen and MGPT:

  • Create a new project and set up the .env file to manage environment properties (API keys, Model URLs, etc.).
  • Import necessary libraries in the app.py file: pi autogen, pi mgpt, etc.
  • Load environment variables and configure the model settings.

• Creating Agents:

  • Define user and assistant agents (e.g., user proxy, product manager).
  • Use MGPT to create a coder agent if needed.
  • Set up group chat among defined agents.

• Running the Example:

  • Initiate a chat and request a simple Python random number generator.
  • Review interactions and results in LM Studio and Pycharm.
    • Demonstrated successful code generation by the model.

• Conclusion: Connected an open-source LLM to Autogen and MGPT without API costs, highlighting ease of testing. Future video to cover Autogen details and agent functionality.