use oris_runtime::agent::{create_agent, LoggingMiddleware};
use oris_runtime::schemas::Message;
use std::sync::Arc;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
env_logger::Builder::from_env(env_logger::Env::default().default_filter_or("info")).init();
let logging_middleware = LoggingMiddleware::new()
.with_log_level(oris_runtime::agent::LogLevel::Info)
.with_structured_logging(false);
let agent = create_agent(
"gpt-4o-mini",
&[],
Some("You are a helpful assistant that provides concise answers."),
Some(vec![Arc::new(logging_middleware)]),
)?;
let result = agent
.invoke_messages(vec![Message::new_human_message(
"What is the capital of France?",
)])
.await?;
println!("Agent response: {}", result);
Ok(())
}