use openai_api_rs::v1::api::OpenAIClient; use openai_api_rs::v1::assistant::AssistantRequest; use openai_api_rs::v1::common::GPT4_O; use openai_api_rs::v1::message::{CreateMessageRequest, MessageRole}; use openai_api_rs::v1::run::CreateRunRequest; use openai_api_rs::v1::thread::CreateThreadRequest; use std::collections::HashMap; use std::env; #[tokio::main] async fn main() -> Result<(), Box> { let api_key = env::var("OPENAI_API_KEY").unwrap().to_string(); let client = OpenAIClient::builder().with_api_key(api_key).build()?; let mut tools = HashMap::new(); tools.insert("type".to_string(), "code_interpreter".to_string()); let req = AssistantRequest::new(GPT4_O.to_string()); let req = req .clone() .description("this is a test assistant".to_string()); let req = req.clone().instructions("You are a personal math tutor. When asked a question, write and run Python code to answer the question.".to_string()); let req = req.clone().tools(vec![tools]); println!("AssistantRequest: {:?}", req); let result = client.create_assistant(req).await?; println!("Create Assistant Result ID: {:?}", result.id); let thread_req = CreateThreadRequest::new(); let thread_result = client.create_thread(thread_req).await?; println!("Create Thread Result ID: {:?}", thread_result.id.clone()); let message_req = CreateMessageRequest::new( MessageRole::user, "`I need to solve the equation 3x + 11 = 14. Can you help me?".to_string(), ); let message_result = client .create_message(thread_result.id.clone(), message_req) .await?; println!("Create Message Result ID: {:?}", message_result.id.clone()); let run_req = CreateRunRequest::new(result.id); let run_result = client.create_run(thread_result.id.clone(), run_req).await?; println!("Create Run Result ID: {:?}", run_result.id.clone()); loop { let run_result = client .retrieve_run(thread_result.id.clone(), run_result.id.clone()) .await .unwrap(); if run_result.status == "completed" { break; } else { println!("waiting..."); std::thread::sleep(std::time::Duration::from_secs(1)); } } let list_message_result = client .list_messages(thread_result.id.clone()) .await .unwrap(); for data in list_message_result.data { for content in data.content { println!( "{:?}: {:?} {:?}", data.role, content.text.value, content.text.annotations ); } } Ok(()) } // OPENAI_API_KEY=xxxx cargo run --package openai-api-rs --example assistant