v0.2.0-llm: LLM integration, core utilities, and persistence

- Rust backend: LLM abstraction with OpenAI-compatible + Ollama API clients
- Tauri commands: generate, generate_stream, get/set LLM config
- LLM config: api_url, api_key, model, temperature, max_tokens, top_p
- Works with Ollama (localhost:11434), LM Studio, any OpenAI-compatible API
- Streaming infrastructure via Tauri Channels (LlmEvent)
- tauri-plugin-store, tauri-plugin-fs added
- Frontend: NPC Generator with race/class/alignment selection + AI generation
- Frontend: Dice Roller with notation parsing (2d6+3), presets, history
- Frontend: Session Logger with note-taking + AI summarization
- Frontend: Settings panel for LLM configuration (URL, key, model, temperature)
- App shell: left rail nav with active states, settings toggle
- All glassmorphism cards with gold glow hover states
- Builds clean: tsc, vite build, cargo check, tauri build

src-tauri/src/lib.rs

@@ -1,17 +1,25 @@
+mod llm;
+mod commands;
+
+use llm::AppState;
+use std::sync::Mutex;
+
 #[cfg_attr(mobile, tauri::mobile_entry_point)]
 pub fn run() {
     tauri::Builder::default()
-        .setup(|app| {
-            if cfg!(debug_assertions) {
-                app.handle().plugin(
-                    tauri_plugin_log::Builder::default()
-                        .level(log::LevelFilter::Info)
-                        .build(),
-                )?;
-            }
-            Ok(())
+        .plugin(tauri_plugin_log::Builder::default().build())
+        .plugin(tauri_plugin_store::Builder::default().build())
+        .plugin(tauri_plugin_fs::init())
+        .manage(AppState {
+            config: Mutex::new(llm::LlmConfig::default()),
         })
-        .invoke_handler(tauri::generate_handler![greet])
+        .invoke_handler(tauri::generate_handler![
+            greet,
+            commands::llm_commands::generate,
+            commands::llm_commands::generate_stream,
+            commands::llm_commands::get_llm_config,
+            commands::llm_commands::set_llm_config,
+        ])
         .run(tauri::generate_context!())
         .expect("error while running tauri application");
 }