Multi GPT

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> ***”Individually, we are one drop. Together, we are an ocean.”*** - Ryunosuke Satoro
>
Multi-GPT is an experimental multi-agent system. Multiple "expertGPTs" collaborate to perform a task. Each with their own short and long-term memory and the ability to communicate with each other.
Demo (17/04/2023):
https://www.loom.com/share/b6bec93065794eb8a47e2109697afa39
Table of Contents
- Multi-GPT: Multiple Collaborating ExpertGPTs
- Demo (17/04/2023):
- Table of Contents
- 🚀 Features
- 📋 Requirements
- 💾 Installation
- 🔧 Usage
- Logs
- Docker
- Command Line Arguments
- 🔍 Google API Keys Configuration
- Setting up environment variables
- Memory Backend Setup
- Redis Setup
- 🌲 Pinecone API Key Setup
- Milvus Setup
- Weaviate Setup
- Setting up environment variables
- Setting Your Cache Type
- View Memory Usage
- ⚠️ Limitations
- 🛡 Disclaimer
- 🐦 Connect with Us on Twitter
- Run tests
- Run linter
🚀 Features
- 🤯 Set a task and watch the experts get to work.
- 🌐 Internet access for searches and information gathering
- 💾 Long-Term and Short-Term memory management
- 🧠 GPT-4 instances for text generation
- 🔗 Access to popular websites and platforms
- 🗃️ File storage and summarization with GPT-3.5
📋 Requirements
- environments(just choose one)
- vscode + devcontainer: It has been configured in the .devcontainer folder and can be used directly
- Python 3.10 or later
- OpenAI API key
Optional:
- Memory backend
- PINECONE API key (If you want Pinecone backed memory)
- Milvus (If you want Milvus as memory backend)
- ElevenLabs Key (If you want the AI to speak)
💾 Installation
To install Multi-GPT, follow these steps:
1. Make sure you have all the **requirements** listed above, if not, install/get them
_To execute the following commands, open a CMD, Bash, or Powershell window by navigating to a folder on your computer and typing CMD in the folder path at the top, then press enter._
2. Clone the repository: For this step, you need Git installed. Alternatively, you can download the zip file by clicking the button at the top of this page ☝️
3. Navigate to the directory where the repository was downloaded
4. Install the required dependencies
5. Locate the file named .env.template in the main /Multi-GPT folder.
Create a copy of this file, called .env by removing the template extension. The easiest way is to do this in a command prompt/terminal window cp .env.template .env
Open the .env file in a text editor. Note: Files starting with a dot might be hidden by your Operating System.
Find the line that says OPENAI_API_KEY=.
After the "=", enter your unique OpenAI API Key (without any quotes or spaces).
Enter any other API keys or Tokens for services you would like to utilize.
Save and close the ".env" file.
By completing these steps, you have properly configured the API Keys for your project.
- See OpenAI API Keys Configuration to obtain your OpenAI API key.
- Obtain your ElevenLabs API key from: https://elevenlabs.io. You can view your xi-api-key using the "Profile" tab on the website.
- If you want to use GPT on an Azure instance, set USE_AZURE to True and then follow these steps:
- Rename azure.yaml.template to azure.yaml and provide the relevant azure_api_base, azure_api_version and all the deployment IDs for the relevant models in the azure_model_map section:
- fast_llm_model_deployment_id - your gpt-3.5-turbo or gpt-4 deployment ID
- smart_llm_model_deployment_id - your gpt-4 deployment ID
- embedding_model_deployment_id - your text-embedding-ada-002 v2 deployment ID
- Please specify all of these values as double-quoted strings
- Details can be found here: https://pypi.org/project/openai/ in the Microsoft Azure Endpoints section and here: https://learn.microsoft.com/en-us/azure/cognitive-services/openai/tutorials/embeddings?tabs=command-line for the embedding model.
🔧 Usage
1. Run multigpt Python module in your terminal
2. After each action, choose from options to authorize command(s),
exit the program, or provide feedback to the AI.
1. Authorize a single command, enter y