0x01001011/superagi

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Open-source framework to build, manage and run useful Autonomous AI Agents

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📽 Setting Up SuperAGI using Docker Hub

Not sure how to setup? Learn here

Deploy SuperAGI to DigitalOcean with one click.

💡 Features

• Provision, spawn & deploy autonomous AI agents
• Tools/Toolkits for extended agent capabilities
• Concurrent agent runs
• Schedule agents
• Action console
• Multiple vector DBs
• Agent trajectory fine-tuning
• Performance monitoring
• Tool memory
• Resource manager
• Knowledge embeddings
• Agent workflows

🛠 Tools

💻 Screenshot

🛣 Roadmap

Click here to checkout the latest roadmap 🔗

⚙️ Setting up

1. Download the repo using git clone https://github.com/TransformerOptimus/SuperAGI.git in your terminal or directly from github page in zip format.

2. Navigate to the directory using cd SuperAGI and create a copy of config_template.yaml, naming it config.yaml (take note of the file extension .yaml, not .yml).

3. Enter your LLM API Key or Auth token in config.yaml file.

4. Ensure that Docker is installed in your system, if not, Install it from here.

5. Once you have Docker Desktop running, run the command: docker-compose up --build in the SuperAGI directory. Open your browser and navigate to http://localhost:3000 to access SuperAGI.

• If you wish to change the port it's running on, open the docker-compose.yml file and update the proxy container port forwarding, for example: "3000:80"

🌐 Architecture

SuperAGI Architecture

Agent Architecture

Agent Workflow Architecture

Tools Architecture

ER Diagram

⚠️ Under Development!

This project is under active development and may still have issues. We appreciate your understanding and patience. If you encounter any problems, please first check the open issues. If your issue is not listed, kindly create a new issue detailing the error or problem you experienced. Thank you for your support!

👩‍💻 Contributors

superagi's Issues

Sweep: Add new LLMs Azure OpenAI model beside OpenAI

• Config model Azure OpenAI on UI
• Customize url model, api_key, api_version, engine

Here is sample Python to call Azure OpenAI model:

#Note: The openai-python library support for Azure OpenAI is in preview.
import os
import openai
openai.api_type = "azure"
openai.api_base = "https://connect-llms.openai.azure.com/"
openai.api_version = "2023-07-01-preview"
openai.api_key = os.getenv("OPENAI_API_KEY")

response = openai.ChatCompletion.create(
  engine="connect-llms-gpt-4-32k",
  messages = [],
  temperature=0.7,
  max_tokens=800,
  top_p=0.95,
  frequency_penalty=0,
  presence_penalty=0,
  stop=None)