use std::sync::{Arc, Mutex}; struct LlmState { loaded: bool, } /// Shared handle to the LLM engine. Cheap to clone (Arc). /// Phase 3 will replace the stub body with a real llama-cpp-2 model. #[derive(Clone)] pub struct LlmEngine { state: Arc>, } impl LlmEngine { pub fn new() -> Self { Self { state: Arc::new(Mutex::new(LlmState { loaded: false })), } } pub fn is_loaded(&self) -> bool { self.state.lock().unwrap().loaded } /// Break a task description into 3-7 physical micro-steps. /// Returns Err if no model is loaded — the caller surfaces this to the UI. pub fn decompose_task(&self, _task_text: &str) -> Result, String> { if !self.is_loaded() { return Err("Download an AI model in Settings to break down tasks.".to_string()); } // Phase 3: call llama-cpp-2 with GBNF-constrained prompt here. Err("LLM not yet wired.".to_string()) } } impl Default for LlmEngine { fn default() -> Self { Self::new() } } #[cfg(test)] mod tests { use super::*; #[test] fn decompose_returns_error_when_not_loaded() { let engine = LlmEngine::new(); assert!(!engine.is_loaded()); let result = engine.decompose_task("Write a blog post"); assert!(result.is_err()); assert!( result.unwrap_err().contains("Download an AI model"), "error message should tell user to download a model" ); } #[test] fn default_creates_unloaded_engine() { let engine = LlmEngine::default(); assert!(!engine.is_loaded()); } #[test] fn engine_is_clone_and_shares_state() { let engine = LlmEngine::new(); let clone = engine.clone(); // Both point to the same Arc — neither is loaded assert!(!clone.is_loaded()); } }