AgentAI

AgentAI is a Rust library designed to simplify the creation of AI agents. It leverages the GenAI library to interface with a wide range of popular Large Language Models (LLMs), making it versatile and powerful. Written in Rust, AgentAI benefits from strong static typing and robust error handling, ensuring more reliable and maintainable code. Whether you're developing simple or complex AI agents, AgentAI provides a streamlined and efficient development process.

Warning This library is under heavy development. The interface can change at any moment without any notice.

Installation

In your project add the following to your Cargo.toml file:

[dependencies]
genai = "0.1.15"
agentai = "0.1.2"

# Suggested additional dependencies:
anyhow = "1"
tokio = { version = "1.42.0", features = ["full"] }

Usage

Here is a basic example of how to create an AI agent using AgentAI:

use agentai::Agent;

#[tokio::main]
async fn main() -> anyhow::Result<()> {
    let client = genai::Client::default();
    let mut agent = Agent::new(&client, "You are a useful assistant", &());
    let answer: String = agent.run("gpt-4o", "Why sky is blue?").await?;
    println!("Answer: {}", answer);
    Ok(())
}

Examples

For more examples, check out the examples directory. You can build and run them using Cargo with the following command:

cargo run --example <example_name>

The <example_name> should match the filename of the example you want to run (without the file extension). For example, to run the example that includes the essential parts required to implement an AI agent, use:

cargo run --example simple

Documentation

Full documentation is available on docs.rs.

Contributing

Contributions are welcome! Please see our CONTRIBUTING.md for more details.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

Special thanks to the creators of the GenAI library for providing a robust framework for interfacing with various LLMs.