ai-agents

This repository is a Rust library designed for building and managing generative AI agents, leveraging the capabilities of large language models (LLMs), such as ChatGPT. The aim of this project is to provide a robust and scalable framework that is adaptable to a wide range of scenarios. (ai-agents is at a very early stage of development.)

Key Features

• Modular Architecture: Enhances the creation of complex AI behaviors by chaining together smaller, interoperable components. This is reusability and flexibility across different projects.
• Agent and Module Traits: a flexible interface for building custom agents and modules, allowing for the execution of sophisticated AI tasks with ease.
• Asynchronous Support

Crates

• ai-agent-macro
• sllm-rs: A crate dedicated to interfacing with Large Language Models (LLMs), including utilities for sending requests and processing responses.

Examples

The following examples are simulations of limited situations, demonstrating the application of ai-agents to specific scenarios:

Run Examples

To run the examples, you need to set an environment variable OPEN_API_KEY with your API key. This can be done by creating a .env file in the root of the project.

OPEN_API_KEY=your_api_key_here

• Find Treasure: A game simulation where the player's goal is to find treasure in a dynamically generated scenario by interacting with NPCs.

  cargo run -p find-treasure
  

• Ecommerce Chat Assistant: A limited simulation agent that, based on customer inputs (such as name and order ID), explains the current state of an order.

  cargo run -p ecommerce-assistant