rig-core 0.10.0

An opinionated library for building LLM powered applications.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38

use std::env;

use rig::{
    agent::AgentBuilder,
    completion::Prompt,
    loaders::FileLoader,
    providers::openai::{self, GPT_4O},
};

#[tokio::main]
async fn main() -> Result<(), anyhow::Error> {
    let openai_client =
        openai::Client::new(&env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY not set"));

    let model = openai_client.completion_model(GPT_4O);

    // Load in all the rust examples
    let examples = FileLoader::with_glob("rig-core/examples/*.rs")?
        .read_with_path()
        .ignore_errors()
        .into_iter();

    // Create an agent with multiple context documents
    let agent = examples
        .fold(AgentBuilder::new(model), |builder, (path, content)| {
            builder.context(format!("Rust Example {:?}:\n{}", path, content).as_str())
        })
        .build();

    // Prompt the agent and print the response
    let response = agent
        .prompt("Which rust example is best suited for the operation 1 + 2")
        .await?;

    println!("{}", response);

    Ok(())
}