Créez votre propre IA avec AutoGen & MemGPT!

Créez votre propre IA avec AutoGen & MemGPT!

Table of Contents:

1. Introduction
2. Setting up the Environment
3. Installing the Required Packages
4. Creating the Code File
5. Importing autogen and mgpt
6. Configuring autogen and mgpt
7. Initiating the Chat
8. Running the Code
9. Using the Text Generation Web UI
10. Troubleshooting and Limitations
11. Conclusion

Introduction

In this article, we will explore the process of integrating autogen and mgpt to Create unlimited agents and leverage unlimited memory. We will also discuss how to run the code locally on your computer using the open-source Lodge language model. We will walk through the step-by-step process of setting up the environment, installing the required packages, creating the code file, and configuring autogen and mgpt. We will also cover how to use the text generation web UI and address any troubleshooting and limitations that you may encounter. So, let's get started!

Setting up the Environment

Before we begin, we need to set up a virtual environment for our project. This will ensure that our dependencies are isolated and won't interfere with other Python projects. To create a virtual environment, open your terminal and enter the following command:

conda create -n autogen python=3.11

Next, activate the virtual environment using the following command:

conda activate autogen

Installing the Required Packages

To proceed with the integration of autogen and mgpt, we need to install the necessary packages. We will be using the pi_autogen Package and the pi_mgpt package. To install these packages, run the following commands in your terminal:

pip install pi_autogen teachable
pip install pi_mgpt

Creating the Code File

Now that we have our environment set up and the required packages installed, let's create a file called app.py. This file will contain our code for integrating autogen and mgpt.

Importing autogen and mgpt

In app.py, the first step is to import the autogen and mgpt modules. We can do this by adding the following lines of code at the beginning of our file:

import autogen
from mgptdo_autogen_mgpt_agent import create_autogen_mgpt_agent

Configuring autogen and mgpt

After importing the modules, we need to configure autogen and mgpt. We can define the configuration settings by adding the following lines of code:

from config import config

config_list = config()
config_list.open('001slv1')
config_list.set_api_key(None)

llm_config = {
    "config_list": config_list,
    "user_proxy": autogen.user_proxy_agent("user_proxy", {
        'code_execution_config': {
            'work_dir': 'coding',
            'coding': 'folder'
        },
        'default_auto_reply': True
    })
}

coder = create_autogen_mgpt_agent('mgpt_coder', llm_config)
coder.set_system_message('You are a python developer')

user_proxy.initiate_chat(coder, 'What do you want autogen mgpt to do?')

Initiating the Chat

Once the configuration is in place, we can initiate the chat between the user and the autogen mgpt agent. To do this, we use the initiate_chat method of the user_proxy object. We pass the coder object and the initial message as parameters. For example:

user_proxy.initiate_chat(coder, 'What do You want autogen mgpt to do?')

Running the Code

Now that our code is ready, let's run it and see the autogen mgpt integration in action. To run the code, open your terminal and navigate to the project directory. Then, execute the following command:

python app.py

Using the Text Generation Web UI

To enhance the capabilities of autogen mgpt, we can leverage the Text Generation Web UI. To use the UI, first, clone the Text Generation VUI repository and navigate to the project directory. Then, start the UI by executing the following command:

bash start_macos.sh -API listen -ip extensions

Make sure to add any additional parameters as needed. Once the UI is running, you can access it in your browser at the specified URL. From there, you can download and load the desired model, configure the API settings, and Interact with the autogen mgpt agent.

Troubleshooting and Limitations

While integrating autogen and mgpt offers significant possibilities, there can be challenges and limitations. Some common issues you may encounter include compatibility problems between autogen and mgpt, reliance on the underlying language model, and stability concerns during the integration process. It is important to stay updated on new developments and improvements in autogen mgpt integration and the language model being used to ensure optimal performance.

Conclusion

In this article, we have explored the integration of autogen and mgpt to create unlimited agents and leverage unlimited memory. We have discussed the step-by-step process of setting up the environment, installing the required packages, creating the code file, and running the code. We have also touched upon using the text generation web UI, troubleshooting any issues, and the limitations to consider. By following the instructions provided, you can harness the power of autogen and mgpt to enhance your text generation capabilities. Keep experimenting and exploring the possibilities!

Highlights:

• Integration of autogen and mgpt for unlimited agents and memory
• Running the code locally with open-source Lodge language model
• Utilizing the Text Generation Web UI
• Troubleshooting and limitations to be aware of

FAQ:

Q: How do I set up the environment for autogen and mgpt integration? A: Start by creating a virtual environment using the command conda create -n autogen python=3.11, then activate it with conda activate autogen. Next, install the required packages pi_autogen and pi_mgpt using pip install pi_autogen teachable and pip install pi_mgpt.

Q: How do I run the code for autogen and mgpt integration? A: After setting up the environment and installing the packages, create a code file called app.py. Import the necessary modules (autogen and mgpt) and configure autogen and mgpt using the provided code snippets. Finally, run the code using python app.py.

Q: What is the benefit of using the Text Generation Web UI? A: The Text Generation Web UI provides additional capabilities and features to enhance the autogen mgpt integration. It allows you to download and load models, configure API settings, and interact with the autogen mgpt agent in a user-friendly interface.

Q: What should I do if I encounter issues during the autogen mgpt integration? A: If you face any difficulties or errors during the integration process, it is advisable to consult the official documentation, forums, or communities related to autogen and mgpt. Stay updated on the latest developments and improvements to address any potential issues.