Are you looking to build and deploy AI agents with minimal coding? Look no further! iauto is your go-to low-code engine that simplifies the creation of AI agents, leveraging automation frameworks, and providing cutting-edge AI capabilities. In this guide, we will walk you through the steps to install, set up, and run your first AI agent using iauto!

What is iauto?

• AI: Equipped with cutting-edge AI capabilities.
• Low-Code: You can define your agents easily using YAML.
• Automation: Integrated frameworks like Appium and Playwright.
• Extensible: Comes with a well-designed Python API.

Latest Updates

• Integration with autogen for creating efficient Multi-Agent systems.
• Run various open-source LLMs locally using llama.cpp and llama-cpp-python.

Quick Start Guide

Let’s get your environment ready!

Installation

The first step is to ensure you’re using Python version 3.8 or higher. We recommend setting up a new virtual environment to avoid package conflicts.

pip install -U iauto

If you plan to run LLM locally, consider enabling hardware acceleration:

• For NVIDIA GPU, use the command:

CMAKE_ARGS=-DGGML_CUBLAS=ON pip install -U iauto

• For Apple silicon devices, use the command:

CMAKE_ARGS=-DGGML_METAL=ON pip install -U iauto

Using the Command-Line Tool

To access iauto’s command-line functionalities, use:

python -m iauto --help

To run a playbook, the command is as simple as:

ia run .your-playbook.yaml

Exploring the Playground

iauto provides a web-based playground for running playbooks, LLM chats, ReAct reasoning, and Multi-Agent tasks. To launch it, simply run:

ia playground

Understanding iauto: An Analogy

Imagine building a house. Traditional construction methods would require extensive knowledge of carpentry, plumbing, and electrical work. However, with iauto, it’s like being handed a set of pre-fabricated modules that fit together seamlessly. You can focus on the design and functionality rather than the nitty-gritty of construction. The predefined automation frameworks (like Appium or Playwright) serve as the tools that help you fit those modules together, making the process efficient and straightforward.

Troubleshooting Tips

If you encounter issues during installation or operation, here are a few troubleshooting ideas:

• Ensure that your Python version is indeed 3.8 or higher.
• If hardware acceleration isn’t working, double-check that your GPU drivers are updated.
• Refer to the official documentation or seek assistance on relevant GitHub repositories.
• If the command line does not recognize commands, verify that your virtual environment is activated.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Contributing to iauto

Are you looking to contribute? iauto welcomes contributions in any form—whether it be new features, improved infrastructure, or better documentation. You can set up the development environment by following these steps:

# Create python venv
python -m venv .venv

# Activate the environment
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt
pip install -r requirements-dev.txt

# To ensure code style consistency
pre-commit install

Final Note

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

License

This project is licensed under the MIT License.