feature/commit-coauthor-attribution
claude/code-feature-parity-q003hm
claude/elegant-carson-l1menh
claude/sigit-acp-local-chat-cx6380
claude/sigit-cloud-agent-expansion-reox0a
claude/tool-permission-system
claude/zen-feynman-0u78dk
development
feature/agent-tools-multiedit-glob-todos-remember
feature/background-commands
feature/commit-coauthor-attribution
feature/headless-mode
feature/init-command
feature/load-local-model-explicitly
feature/session-persistence-compaction
feature/sigit-code-cloud
feature/subagent-tool
feature/tool-permission-system
feature/tui-repo-tabs
feature/tui-tabs
main
release/v1.3.1
| 1 | //! Full-screen terminal chat UI. |
| 2 | //! |
| 3 | //! Two phases: a loading spinner while the model initializes, then |
| 4 | //! interactive chat. Uses `tokio::select!` to multiplex terminal events |
| 5 | //! with streaming LLM tokens. |
| 6 | |
| 7 | // ── Think-block stripping ───────────────────────────────────────────────────── |
| 8 | |
| 9 | /// Split out `<think>…</think>` blocks from a model response. |
| 10 | /// |
| 11 | /// Qwen 3 emits reasoning inside `<think>` tags before the actual answer. |
| 12 | /// Returns `(thinking_text, visible_reply)`. Either may be empty. |
| 13 | pub(crate) fn strip_think_blocks(raw: &str) -> (String, String) { |
| 14 | let mut thinking = String::new(); |
| 15 | let mut remainder = raw; |
| 16 | |
| 17 | while let Some(start) = remainder.find("<think>") { |
| 18 | let before = &remainder[..start]; |
| 19 | if let Some(end) = remainder[start..].find("</think>") { |
| 20 | let block = &remainder[start + 7..start + end]; |
| 21 | thinking.push_str(block.trim()); |
| 22 | remainder = &remainder[start + end + 8..]; |
| 23 | if !before.trim().is_empty() { |
| 24 | // rare: text before <think> — keep it visible |
| 25 | let mut combined = before.to_string(); |
| 26 | combined.push_str(remainder); |
| 27 | return (thinking, combined.trim().to_string()); |
| 28 | } |
| 29 | } else { |
| 30 | // unclosed tag — model probably ran out of tokens |
| 31 | thinking.push_str(remainder[start + 7..].trim()); |
| 32 | remainder = before; |
| 33 | break; |
| 34 | } |
| 35 | } |
| 36 | |
| 37 | (thinking, remainder.trim().to_string()) |
| 38 | } |
| 39 | |
| 40 | pub(crate) fn parse_rich_text_segments(text: &str) -> Vec<(String, bool)> { |
| 41 | let mut segments = Vec::new(); |
| 42 | let mut current = String::new(); |
| 43 | let mut chars = text.chars().peekable(); |
| 44 | let mut bold = false; |
| 45 | |
| 46 | while let Some(ch) = chars.next() { |
| 47 | if ch == '*' && chars.peek() == Some(&'*') { |
| 48 | chars.next(); |
| 49 | if !current.is_empty() { |
| 50 | segments.push((std::mem::take(&mut current), bold)); |
| 51 | } |
| 52 | bold = !bold; |
| 53 | } else { |
| 54 | current.push(ch); |
| 55 | } |
| 56 | } |
| 57 | |
| 58 | if !current.is_empty() { |
| 59 | segments.push((current, bold)); |
| 60 | } |
| 61 | |
| 62 | segments |
| 63 | } |
| 64 | |
| 65 | // ── Unix-only TUI ───────────────────────────────────────────────────────────── |
| 66 | // |
| 67 | // macOS + Linux only. Windows uses ACP mode instead. |
| 68 | |
| 69 | #[cfg(unix)] |
| 70 | mod tui { |
| 71 | use std::future::pending; |
| 72 | use std::sync::Arc; |
| 73 | use std::sync::mpsc as std_mpsc; |
| 74 | |
| 75 | use anyhow::Result; |
| 76 | use crossterm::event::{Event, EventStream, KeyCode, KeyEvent, KeyEventKind, KeyModifiers}; |
| 77 | use futures::StreamExt; |
| 78 | use onde::inference::{ChatEngine, SamplingConfig}; |
| 79 | |
| 80 | use crate::backend::{InferenceBackend, LocalBackend, OpenAiBackend, ToolResult, ToolSpec}; |
| 81 | use crate::models::{ |
| 82 | InferenceKind, ModelCacheHealth, ModelPickerItem, ModelSource, build_model_picker_items, |
| 83 | }; |
| 84 | use ratatui::{ |
| 85 | Frame, |
| 86 | layout::{Constraint, Layout, Position}, |
| 87 | style::{Color, Modifier, Style}, |
| 88 | text::{Line, Span}, |
| 89 | widgets::{Block, Borders, Clear, Paragraph, Wrap}, |
| 90 | }; |
| 91 | use tokio::sync::mpsc; |
| 92 | use tokio::time::{Duration, Instant, interval}; |
| 93 | |
| 94 | // ── Message types ───────────────────────────────────────────────────────── |
| 95 | |
| 96 | #[derive(Clone, Copy, PartialEq, Eq)] |
| 97 | enum Role { |
| 98 | User, |
| 99 | Assistant, |
| 100 | System, |
| 101 | /// rainbow-colored banner art |
| 102 | Banner, |
| 103 | } |
| 104 | |
| 105 | struct ChatMessage { |
| 106 | role: Role, |
| 107 | text: String, |
| 108 | /// Qwen 3 reasoning extracted from `<think>` tags, if any. |
| 109 | think_block: Option<String>, |
| 110 | } |
| 111 | |
| 112 | impl ChatMessage { |
| 113 | fn user(text: impl Into<String>) -> Self { |
| 114 | Self { |
| 115 | role: Role::User, |
| 116 | text: text.into(), |
| 117 | think_block: None, |
| 118 | } |
| 119 | } |
| 120 | |
| 121 | fn assistant(text: impl Into<String>) -> Self { |
| 122 | let raw = text.into(); |
| 123 | let (think, visible) = super::strip_think_blocks(&raw); |
| 124 | Self { |
| 125 | role: Role::Assistant, |
| 126 | text: visible, |
| 127 | think_block: if think.is_empty() { None } else { Some(think) }, |
| 128 | } |
| 129 | } |
| 130 | |
| 131 | fn system(text: impl Into<String>) -> Self { |
| 132 | Self { |
| 133 | role: Role::System, |
| 134 | text: text.into(), |
| 135 | think_block: None, |
| 136 | } |
| 137 | } |
| 138 | |
| 139 | fn banner(text: impl Into<String>) -> Self { |
| 140 | Self { |
| 141 | role: Role::Banner, |
| 142 | text: text.into(), |
| 143 | think_block: None, |
| 144 | } |
| 145 | } |
| 146 | } |
| 147 | |
| 148 | // ── Inference updates from background task ──────────────────────────────── |
| 149 | |
| 150 | enum InferenceUpdate { |
| 151 | /// show tool name in chat while it runs |
| 152 | ToolUse(String), |
| 153 | /// a streamed token fragment of the assistant's reply |
| 154 | Delta(String), |
| 155 | /// the streamed reply is complete; commit the accumulated buffer |
| 156 | StreamEnd, |
| 157 | /// a complete (non-streamed) assistant reply |
| 158 | Response(String), |
| 159 | Error(String), |
| 160 | } |
| 161 | |
| 162 | enum ModelLoadUpdate { |
| 163 | Loaded(String), |
| 164 | Error(String), |
| 165 | } |
| 166 | |
| 167 | // ── App state ───────────────────────────────────────────────────────────── |
| 168 | |
| 169 | struct App { |
| 170 | messages: Vec<ChatMessage>, |
| 171 | input: String, |
| 172 | cursor: usize, |
| 173 | /// true while assistant tokens are streaming into `stream_buf` |
| 174 | streaming: bool, |
| 175 | stream_buf: String, |
| 176 | inference_rx: Option<mpsc::Receiver<InferenceUpdate>>, |
| 177 | model_load_rx: Option<mpsc::Receiver<ModelLoadUpdate>>, |
| 178 | thinking: bool, |
| 179 | thinking_tick: u8, |
| 180 | quit: bool, |
| 181 | /// toggled periodically so the streaming cursor blinks |
| 182 | blink_on: bool, |
| 183 | blink_counter: u8, |
| 184 | switching_model: bool, |
| 185 | /// stashed until ModelLoadUpdate::Loaded applies it to `app.tool_calling` |
| 186 | pending_tool_calling: Option<bool>, |
| 187 | /// suppresses the spurious "disconnected" error when we drop model_load_rx on cancel |
| 188 | model_load_cancelled: bool, |
| 189 | |
| 190 | // ── Loading-phase state ─────────────────────────────────────────────── |
| 191 | is_loading: bool, |
| 192 | load_tick: u32, |
| 193 | /// keeps the loading view visible so the user can read the error |
| 194 | load_error: Option<String>, |
| 195 | load_start: Instant, |
| 196 | load_model_name: String, |
| 197 | |
| 198 | // ── Model picker state ──────────────────────────────────────────────── |
| 199 | show_model_picker: bool, |
| 200 | model_picker_index: usize, |
| 201 | model_picker_items: Vec<ModelPickerItem>, |
| 202 | current_model_name: String, |
| 203 | tool_calling: bool, |
| 204 | |
| 205 | // ── Model-switch download progress ──────────────────────────────────── |
| 206 | switching_model_id: Option<String>, |
| 207 | /// (downloaded, expected) bytes — polled every tick during a model switch |
| 208 | download_progress: Option<(u64, u64)>, |
| 209 | |
| 210 | // ── Active inference backend ────────────────────────────────────────── |
| 211 | /// The backend serving inference. Swapped in place when the user picks a |
| 212 | /// different model or cloud tier via `/models`. |
| 213 | backend: Arc<dyn InferenceBackend>, |
| 214 | } |
| 215 | |
| 216 | const BANNER_ART: &str = "\ |
| 217 | 77777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777 |
| 218 | 77777777322222222222222222222222222222223777389969902208431358831999699051111177777777777777 |
| 219 | 1111111125555555555555555555555511113222311159 5002 088 3081771691111111111111 |
| 220 | 1111111111111111111111111111131136841 1482853332007 05 9043332891 400811111111111 |
| 221 | 1111111111111111111111111111111201 109 304 40 00 79 100041111111111 |
| 222 | 333333255555555555555555555552392 102 503 90 7000000005 903 0000023333333333 |
| 223 | 333333245454545454545454545433381 7600000 302 61 780 109 20009533333333333 |
| 224 | 3333333333333333333333333333333402 7001 08 761 202 902 90003333333333333 |
| 225 | 2222255555555555555555555555250899901 49 304 403 08 108 300042222222222222 |
| 226 | 2222222222222222222222222222269 106 03 901 06 505 402 000052222222222222 |
| 227 | 2222255555555555555555555555299 708 1002 80 00 90852222222222222 |
| 228 | 55555555555555555555555555555560953258000866660000051140866908666600008966900065555555555555 |
| 229 | 88888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888"; |
| 230 | |
| 231 | const THINKING_FRAMES: &[&str] = &["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"]; |
| 232 | |
| 233 | fn rich_text_spans(text: &str, base_style: Style, bold_style: Style) -> Vec<Span<'static>> { |
| 234 | let mut spans = Vec::new(); |
| 235 | |
| 236 | for (segment, is_bold) in super::parse_rich_text_segments(text) { |
| 237 | let style = if is_bold { bold_style } else { base_style }; |
| 238 | spans.push(Span::styled(segment, style)); |
| 239 | } |
| 240 | |
| 241 | if spans.is_empty() { |
| 242 | spans.push(Span::styled(String::new(), base_style)); |
| 243 | } |
| 244 | |
| 245 | spans |
| 246 | } |
| 247 | |
| 248 | impl App { |
| 249 | fn new(load_model_name: String, backend: Arc<dyn InferenceBackend>) -> Self { |
| 250 | let is_remote = backend.is_remote(); |
| 251 | let items = build_model_picker_items(); |
| 252 | let tool_calling = items |
| 253 | .iter() |
| 254 | .find(|m| m.display_name == load_model_name) |
| 255 | .map(|m| m.tool_calling) |
| 256 | .unwrap_or(true); |
| 257 | // For a remote provider the passed-in name is authoritative; the |
| 258 | // persisted local selection must not override it (or the title would |
| 259 | // show an on-device model while requests go to the cloud). |
| 260 | let current_model_name = if is_remote { |
| 261 | load_model_name.clone() |
| 262 | } else { |
| 263 | crate::setup::load_selected_model_name().unwrap_or_else(|| load_model_name.clone()) |
| 264 | }; |
| 265 | Self { |
| 266 | messages: Vec::new(), |
| 267 | input: String::new(), |
| 268 | cursor: 0, |
| 269 | streaming: false, |
| 270 | stream_buf: String::new(), |
| 271 | inference_rx: None, |
| 272 | model_load_rx: None, |
| 273 | thinking: false, |
| 274 | thinking_tick: 0, |
| 275 | quit: false, |
| 276 | blink_on: true, |
| 277 | blink_counter: 0, |
| 278 | switching_model: false, |
| 279 | pending_tool_calling: None, |
| 280 | model_load_cancelled: false, |
| 281 | switching_model_id: None, |
| 282 | download_progress: None, |
| 283 | is_loading: true, |
| 284 | load_tick: 0, |
| 285 | load_error: None, |
| 286 | load_start: Instant::now(), |
| 287 | load_model_name: load_model_name.clone(), |
| 288 | show_model_picker: false, |
| 289 | model_picker_index: 0, |
| 290 | model_picker_items: items, |
| 291 | current_model_name, |
| 292 | tool_calling, |
| 293 | backend, |
| 294 | } |
| 295 | } |
| 296 | |
| 297 | fn is_busy(&self) -> bool { |
| 298 | self.is_streaming() || self.thinking || self.switching_model |
| 299 | } |
| 300 | |
| 301 | fn switching_frame(&self) -> &'static str { |
| 302 | let idx = (self.thinking_tick as usize) % THINKING_FRAMES.len(); |
| 303 | THINKING_FRAMES[idx] |
| 304 | } |
| 305 | |
| 306 | fn is_streaming(&self) -> bool { |
| 307 | self.streaming |
| 308 | } |
| 309 | |
| 310 | fn finalize_stream(&mut self) { |
| 311 | self.streaming = false; |
| 312 | if !self.stream_buf.is_empty() { |
| 313 | let text = std::mem::take(&mut self.stream_buf); |
| 314 | self.messages.push(ChatMessage::assistant(text)); |
| 315 | } |
| 316 | self.blink_on = false; |
| 317 | } |
| 318 | |
| 319 | fn push_stream_delta(&mut self, delta: &str) { |
| 320 | self.streaming = true; |
| 321 | self.stream_buf.push_str(delta); |
| 322 | // Hide reasoning the way the rest of the app does: keep the "thinking" |
| 323 | // spinner until visible (non-<think>) text appears, then show the |
| 324 | // live reply. Don't call stop_thinking() — that drops the channel. |
| 325 | let (_think, visible) = super::strip_think_blocks(&self.stream_buf); |
| 326 | self.thinking = visible.trim().is_empty(); |
| 327 | self.blink_counter = self.blink_counter.wrapping_add(1); |
| 328 | self.blink_on = self.blink_counter % 4 < 2; |
| 329 | } |
| 330 | |
| 331 | /// The portion of the streaming buffer to show live, with reasoning hidden. |
| 332 | fn visible_stream(&self) -> String { |
| 333 | let (_think, visible) = super::strip_think_blocks(&self.stream_buf); |
| 334 | visible |
| 335 | } |
| 336 | |
| 337 | fn start_thinking(&mut self) { |
| 338 | self.thinking = true; |
| 339 | self.thinking_tick = 0; |
| 340 | } |
| 341 | |
| 342 | fn stop_thinking(&mut self) { |
| 343 | self.thinking = false; |
| 344 | self.inference_rx = None; |
| 345 | } |
| 346 | |
| 347 | fn tick_thinking(&mut self) { |
| 348 | self.thinking_tick = self.thinking_tick.wrapping_add(1); |
| 349 | } |
| 350 | |
| 351 | fn thinking_frame(&self) -> &'static str { |
| 352 | let idx = (self.thinking_tick as usize) % THINKING_FRAMES.len(); |
| 353 | THINKING_FRAMES[idx] |
| 354 | } |
| 355 | |
| 356 | fn tick(&mut self) { |
| 357 | self.load_tick = self.load_tick.wrapping_add(1); |
| 358 | } |
| 359 | |
| 360 | /// check how much of the model has landed on disk so far |
| 361 | fn poll_download_progress(&mut self) { |
| 362 | let Some(ref model_id) = self.switching_model_id else { |
| 363 | return; |
| 364 | }; |
| 365 | let cache_path = onde::hf_cache::model_cache_path(model_id); |
| 366 | let downloaded = cache_path |
| 367 | .as_ref() |
| 368 | .filter(|p| p.exists()) |
| 369 | .map(|p| dir_size_recursive(p)) |
| 370 | .unwrap_or(0); |
| 371 | let expected = onde::inference::models::SUPPORTED_MODEL_INFO |
| 372 | .iter() |
| 373 | .find(|m| m.id == model_id.as_str()) |
| 374 | .map(|m| m.expected_size_bytes) |
| 375 | .unwrap_or(0); |
| 376 | self.download_progress = Some((downloaded, expected)); |
| 377 | } |
| 378 | |
| 379 | /// switch to chat phase and show the welcome banner |
| 380 | fn finish_loading(&mut self) { |
| 381 | self.is_loading = false; |
| 382 | for line in BANNER_ART.lines() { |
| 383 | self.messages.push(ChatMessage::banner(line)); |
| 384 | } |
| 385 | self.messages.push(ChatMessage::system("")); |
| 386 | self.messages.push(ChatMessage::system( |
| 387 | "In this world, nothing can be said to be certain, except death and taxes. ~ Pak Sigit", |
| 388 | )); |
| 389 | if self.backend.is_remote() { |
| 390 | self.messages.push(ChatMessage::system(format!( |
| 391 | "Current model: {}", |
| 392 | self.current_model_name |
| 393 | ))); |
| 394 | } else { |
| 395 | // On-device models are never loaded implicitly; prompt the user to |
| 396 | // load one explicitly before their first message. |
| 397 | self.messages.push(ChatMessage::system(format!( |
| 398 | "No on-device model loaded. Run /load to load {}, or /models to choose one.", |
| 399 | self.current_model_name |
| 400 | ))); |
| 401 | } |
| 402 | self.messages |
| 403 | .push(ChatMessage::system("Type /help for commands.")); |
| 404 | } |
| 405 | |
| 406 | /// store the error but stay in loading view so the user can read it |
| 407 | fn set_load_error(&mut self, error: String) { |
| 408 | self.load_error = Some(error); |
| 409 | // is_loading stays true so render_loading() keeps rendering. |
| 410 | } |
| 411 | |
| 412 | fn open_model_picker(&mut self, engine: &ChatEngine) { |
| 413 | let current = crate::setup::load_selected_model(); |
| 414 | let current_name = crate::setup::load_selected_model_name().unwrap_or_else(|| { |
| 415 | futures::executor::block_on(engine.info()) |
| 416 | .model_name |
| 417 | .unwrap_or_else(|| self.current_model_name.clone()) |
| 418 | }); |
| 419 | |
| 420 | self.model_picker_items = build_model_picker_items(); |
| 421 | self.model_picker_index = current |
| 422 | .as_ref() |
| 423 | .and_then(|selected| { |
| 424 | self.model_picker_items.iter().position(|item| { |
| 425 | item.config.model_id == selected.model_id |
| 426 | && item |
| 427 | .config |
| 428 | .files |
| 429 | .iter() |
| 430 | .any(|file| file == &selected.gguf_file) |
| 431 | }) |
| 432 | }) |
| 433 | .or_else(|| { |
| 434 | self.model_picker_items |
| 435 | .iter() |
| 436 | .position(|item| item.display_name == current_name) |
| 437 | }) |
| 438 | .unwrap_or(0); |
| 439 | self.show_model_picker = true; |
| 440 | } |
| 441 | |
| 442 | fn close_model_picker(&mut self) { |
| 443 | self.show_model_picker = false; |
| 444 | } |
| 445 | |
| 446 | fn move_model_picker_up(&mut self) { |
| 447 | if self.model_picker_items.is_empty() { |
| 448 | return; |
| 449 | } |
| 450 | if self.model_picker_index == 0 { |
| 451 | self.model_picker_index = self.model_picker_items.len().saturating_sub(1); |
| 452 | } else { |
| 453 | self.model_picker_index -= 1; |
| 454 | } |
| 455 | } |
| 456 | |
| 457 | fn move_model_picker_down(&mut self) { |
| 458 | if self.model_picker_items.is_empty() { |
| 459 | return; |
| 460 | } |
| 461 | self.model_picker_index = (self.model_picker_index + 1) % self.model_picker_items.len(); |
| 462 | } |
| 463 | } |
| 464 | |
| 465 | // ── Model picker ───────────────────────────────────────────────────────── |
| 466 | // |
| 467 | // picker data types live in crate::models so Windows (ACP-only) can use them too |
| 468 | |
| 469 | fn render_model_picker(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) { |
| 470 | let popup = centered_rect(82, 72, area); |
| 471 | |
| 472 | // clear the background so text doesn't bleed through |
| 473 | frame.render_widget(Clear, popup); |
| 474 | |
| 475 | let block = Block::default() |
| 476 | .title(" Select a model… ") |
| 477 | .borders(Borders::ALL) |
| 478 | .border_style(Style::default().fg(Color::DarkGray)) |
| 479 | .style(Style::default().bg(Color::Black)); |
| 480 | |
| 481 | let inner = block.inner(popup); |
| 482 | frame.render_widget(block, popup); |
| 483 | |
| 484 | let active_kind = crate::models::active_inference_kind(); |
| 485 | let mut lines = Vec::new(); |
| 486 | |
| 487 | // State banner: which mode is active, and how to flip it. |
| 488 | let (state_word, state_style) = match active_kind { |
| 489 | InferenceKind::Local => ( |
| 490 | "ON (on-device)", |
| 491 | Style::default().fg(Color::Green).bg(Color::Black), |
| 492 | ), |
| 493 | InferenceKind::Cloud => ( |
| 494 | "OFF (siGit Code Cloud)", |
| 495 | Style::default().fg(Color::Magenta).bg(Color::Black), |
| 496 | ), |
| 497 | }; |
| 498 | lines.push(Line::from(vec![ |
| 499 | Span::styled( |
| 500 | "Local inference: ", |
| 501 | Style::default() |
| 502 | .fg(Color::White) |
| 503 | .bg(Color::Black) |
| 504 | .add_modifier(Modifier::BOLD), |
| 505 | ), |
| 506 | Span::styled(state_word, state_style.add_modifier(Modifier::BOLD)), |
| 507 | Span::styled( |
| 508 | " toggle with /local on|off", |
| 509 | Style::default().fg(Color::DarkGray).bg(Color::Black), |
| 510 | ), |
| 511 | ])); |
| 512 | lines.push(Line::from("").style(Style::default().bg(Color::Black))); |
| 513 | |
| 514 | let mut last_section: Option<ModelSource> = None; |
| 515 | let mut last_kind: Option<InferenceKind> = None; |
| 516 | |
| 517 | for (index, item) in app.model_picker_items.iter().enumerate() { |
| 518 | let item_kind = item.source.kind(); |
| 519 | let item_active = item_kind == active_kind; |
| 520 | |
| 521 | // Top-level group header (Local / Cloud) whenever the nature changes. |
| 522 | if last_kind != Some(item_kind) { |
| 523 | if last_kind.is_some() { |
| 524 | lines.push(Line::from("").style(Style::default().bg(Color::Black))); |
| 525 | } |
| 526 | let group_label = match item_kind { |
| 527 | InferenceKind::Local => "LOCAL — on-device inference", |
| 528 | InferenceKind::Cloud => "CLOUD — siGit Code Cloud", |
| 529 | }; |
| 530 | let group_style = if item_active { |
| 531 | Style::default() |
| 532 | .fg(Color::White) |
| 533 | .bg(Color::Black) |
| 534 | .add_modifier(Modifier::BOLD | Modifier::UNDERLINED) |
| 535 | } else { |
| 536 | Style::default().fg(Color::DarkGray).bg(Color::Black) |
| 537 | }; |
| 538 | lines.push( |
| 539 | Line::from(vec![Span::styled(group_label, group_style)]) |
| 540 | .style(Style::default().bg(Color::Black)), |
| 541 | ); |
| 542 | last_kind = Some(item_kind); |
| 543 | last_section = None; |
| 544 | } |
| 545 | |
| 546 | if last_section != Some(item.source) { |
| 547 | if last_section.is_some() { |
| 548 | lines.push(Line::from("").style(Style::default().bg(Color::Black))); |
| 549 | } |
| 550 | |
| 551 | let (section_mark, section_name, section_style) = match item.source { |
| 552 | ModelSource::Onde => ( |
| 553 | "◉", |
| 554 | "Onde Inference", |
| 555 | Style::default() |
| 556 | .fg(Color::Green) |
| 557 | .bg(Color::Black) |
| 558 | .add_modifier(Modifier::BOLD), |
| 559 | ), |
| 560 | ModelSource::HuggingFace => ( |
| 561 | "○", |
| 562 | "Hugging Face cache", |
| 563 | Style::default() |
| 564 | .fg(Color::Cyan) |
| 565 | .bg(Color::Black) |
| 566 | .add_modifier(Modifier::BOLD), |
| 567 | ), |
| 568 | ModelSource::Available => ( |
| 569 | "↓", |
| 570 | "Available for download", |
| 571 | Style::default() |
| 572 | .fg(Color::Blue) |
| 573 | .bg(Color::Black) |
| 574 | .add_modifier(Modifier::BOLD), |
| 575 | ), |
| 576 | ModelSource::Fallback => ( |
| 577 | "◎", |
| 578 | "Fallback", |
| 579 | Style::default() |
| 580 | .fg(Color::Yellow) |
| 581 | .bg(Color::Black) |
| 582 | .add_modifier(Modifier::BOLD), |
| 583 | ), |
| 584 | ModelSource::Cloud => ( |
| 585 | "☁", |
| 586 | "siGit Code Cloud", |
| 587 | Style::default() |
| 588 | .fg(Color::Magenta) |
| 589 | .bg(Color::Black) |
| 590 | .add_modifier(Modifier::BOLD), |
| 591 | ), |
| 592 | }; |
| 593 | |
| 594 | // Dim the section header when it belongs to the inactive group. |
| 595 | let section_style = if item_active { |
| 596 | section_style |
| 597 | } else { |
| 598 | Style::default().fg(Color::DarkGray).bg(Color::Black) |
| 599 | }; |
| 600 | |
| 601 | lines.push( |
| 602 | Line::from(vec![ |
| 603 | Span::styled(format!(" {section_mark} "), section_style), |
| 604 | Span::styled(section_name, section_style), |
| 605 | ]) |
| 606 | .style(Style::default().bg(Color::Black)), |
| 607 | ); |
| 608 | last_section = Some(item.source); |
| 609 | } |
| 610 | |
| 611 | let selected = index == app.model_picker_index; |
| 612 | let current = item.display_name == app.current_model_name; |
| 613 | let marker = if selected { "› " } else { " " }; |
| 614 | let tool_badge = if item.tool_calling { |
| 615 | " ✓ tool calling" |
| 616 | } else { |
| 617 | "" |
| 618 | }; |
| 619 | let health_badge = match item.cache_health { |
| 620 | ModelCacheHealth::Complete => "", |
| 621 | ModelCacheHealth::Incomplete => " ! incomplete cache", |
| 622 | ModelCacheHealth::NotDownloaded => " ↓ download", |
| 623 | }; |
| 624 | let current_badge = if current { " ← current" } else { "" }; |
| 625 | let disabled_badge = match item.cache_health { |
| 626 | ModelCacheHealth::Complete | ModelCacheHealth::NotDownloaded => "", |
| 627 | ModelCacheHealth::Incomplete => " (unselectable)", |
| 628 | }; |
| 629 | let brand_mark = match item.source { |
| 630 | ModelSource::Onde => "◉", |
| 631 | ModelSource::HuggingFace => "○", |
| 632 | ModelSource::Available => "↓", |
| 633 | ModelSource::Fallback => "◎", |
| 634 | ModelSource::Cloud => "☁", |
| 635 | }; |
| 636 | let source = format!(" [{} {}]", brand_mark, item.source_label); |
| 637 | |
| 638 | let base_style = if selected { |
| 639 | Style::default().fg(Color::Black).bg(Color::Green) |
| 640 | } else if item_active { |
| 641 | Style::default().fg(Color::White).bg(Color::Black) |
| 642 | } else { |
| 643 | // Inactive group: still visible (we surface the offering) but dimmed. |
| 644 | Style::default().fg(Color::DarkGray).bg(Color::Black) |
| 645 | }; |
| 646 | |
| 647 | let source_style = if selected { |
| 648 | Style::default().fg(Color::Black).bg(Color::Green) |
| 649 | } else if !item_active { |
| 650 | Style::default().fg(Color::DarkGray).bg(Color::Black) |
| 651 | } else { |
| 652 | match item.source { |
| 653 | ModelSource::Onde => Style::default().fg(Color::Green).bg(Color::Black), |
| 654 | ModelSource::HuggingFace => Style::default().fg(Color::Cyan).bg(Color::Black), |
| 655 | ModelSource::Available => Style::default().fg(Color::Blue).bg(Color::Black), |
| 656 | ModelSource::Fallback => Style::default().fg(Color::Yellow).bg(Color::Black), |
| 657 | ModelSource::Cloud => Style::default().fg(Color::Magenta).bg(Color::Black), |
| 658 | } |
| 659 | }; |
| 660 | |
| 661 | let health_style = if selected { |
| 662 | Style::default().fg(Color::Red).bg(Color::Green) |
| 663 | } else { |
| 664 | Style::default().fg(Color::Red).bg(Color::Black) |
| 665 | }; |
| 666 | |
| 667 | lines.push(Line::from(vec![ |
| 668 | Span::styled( |
| 669 | format!("{marker}{} {}", item.display_name, item.description), |
| 670 | base_style, |
| 671 | ), |
| 672 | Span::styled( |
| 673 | tool_badge.to_string(), |
| 674 | if selected { |
| 675 | Style::default().fg(Color::Black).bg(Color::Green) |
| 676 | } else { |
| 677 | Style::default().fg(Color::Green).bg(Color::Black) |
| 678 | }, |
| 679 | ), |
| 680 | Span::styled(health_badge.to_string(), health_style), |
| 681 | Span::styled( |
| 682 | disabled_badge.to_string(), |
| 683 | if selected { |
| 684 | Style::default().fg(Color::Black).bg(Color::Green) |
| 685 | } else { |
| 686 | Style::default().fg(Color::DarkGray).bg(Color::Black) |
| 687 | }, |
| 688 | ), |
| 689 | Span::styled( |
| 690 | current_badge.to_string(), |
| 691 | if selected { |
| 692 | Style::default().fg(Color::Black).bg(Color::Green) |
| 693 | } else { |
| 694 | Style::default().fg(Color::Cyan).bg(Color::Black) |
| 695 | }, |
| 696 | ), |
| 697 | Span::styled(source, source_style), |
| 698 | ])); |
| 699 | } |
| 700 | |
| 701 | frame.render_widget( |
| 702 | Paragraph::new(lines) |
| 703 | .wrap(Wrap { trim: false }) |
| 704 | .style(Style::default().bg(Color::Black)), |
| 705 | inner, |
| 706 | ); |
| 707 | } |
| 708 | |
| 709 | fn centered_rect( |
| 710 | percent_x: u16, |
| 711 | percent_y: u16, |
| 712 | area: ratatui::layout::Rect, |
| 713 | ) -> ratatui::layout::Rect { |
| 714 | let vertical = Layout::vertical([ |
| 715 | Constraint::Percentage((100 - percent_y) / 2), |
| 716 | Constraint::Percentage(percent_y), |
| 717 | Constraint::Percentage((100 - percent_y) / 2), |
| 718 | ]) |
| 719 | .split(area); |
| 720 | |
| 721 | Layout::horizontal([ |
| 722 | Constraint::Percentage((100 - percent_x) / 2), |
| 723 | Constraint::Percentage(percent_x), |
| 724 | Constraint::Percentage((100 - percent_x) / 2), |
| 725 | ]) |
| 726 | .split(vertical[1])[1] |
| 727 | } |
| 728 | |
| 729 | // ── Slash commands ──────────────────────────────────────────────────────── |
| 730 | |
| 731 | enum SlashCommand { |
| 732 | Help, |
| 733 | Clear, |
| 734 | Status, |
| 735 | /// picker UI, or jump straight to model N |
| 736 | Models(Option<usize>), |
| 737 | /// toggle on-device inference mode. `Some(true/false)` sets it, `None` flips it. |
| 738 | Local(Option<bool>), |
| 739 | /// List discovered Agent Skills. |
| 740 | Skills, |
| 741 | /// List configured MCP servers and their tools. |
| 742 | Mcp, |
| 743 | /// explicitly load the selected (or default) on-device model |
| 744 | Load, |
| 745 | /// `/login <email> <password>` — the raw argument, parsed when executed. |
| 746 | Login(Option<String>), |
| 747 | Logout, |
| 748 | Whoami, |
| 749 | Exit, |
| 750 | Unknown(String), |
| 751 | } |
| 752 | |
| 753 | fn parse_slash(input: &str) -> Option<SlashCommand> { |
| 754 | let trimmed = input.trim(); |
| 755 | if !trimmed.starts_with('/') { |
| 756 | return None; |
| 757 | } |
| 758 | let mut parts = trimmed.splitn(2, char::is_whitespace); |
| 759 | let cmd = parts.next().unwrap_or(""); |
| 760 | let arg = parts.next().map(|s| s.trim()); |
| 761 | Some(match cmd { |
| 762 | "/help" => SlashCommand::Help, |
| 763 | "/clear" => SlashCommand::Clear, |
| 764 | "/status" => SlashCommand::Status, |
| 765 | "/models" => SlashCommand::Models(arg.and_then(|s| s.parse::<usize>().ok())), |
| 766 | "/local" => SlashCommand::Local(parse_on_off(arg)), |
| 767 | "/skills" => SlashCommand::Skills, |
| 768 | "/mcp" => SlashCommand::Mcp, |
| 769 | "/load" => SlashCommand::Load, |
| 770 | "/login" => SlashCommand::Login(arg.map(str::to_string)), |
| 771 | "/logout" => SlashCommand::Logout, |
| 772 | "/whoami" => SlashCommand::Whoami, |
| 773 | "/exit" | "/quit" | "/q" => SlashCommand::Exit, |
| 774 | other => SlashCommand::Unknown(other.to_string()), |
| 775 | }) |
| 776 | } |
| 777 | |
| 778 | /// `on`/`off` (and synonyms) → `Some(bool)`; missing or unrecognized → `None` |
| 779 | /// (meaning "toggle the current value"). |
| 780 | fn parse_on_off(arg: Option<&str>) -> Option<bool> { |
| 781 | match arg.map(|s| s.trim().to_ascii_lowercase())?.as_str() { |
| 782 | "on" | "true" | "1" | "yes" => Some(true), |
| 783 | "off" | "false" | "0" | "no" => Some(false), |
| 784 | _ => None, |
| 785 | } |
| 786 | } |
| 787 | |
| 788 | // ── Rendering ───────────────────────────────────────────────────────────── |
| 789 | |
| 790 | fn render(frame: &mut Frame, app: &mut App) { |
| 791 | let area = frame.area(); |
| 792 | |
| 793 | if app.is_loading { |
| 794 | let zones = Layout::vertical([ |
| 795 | Constraint::Length(1), |
| 796 | Constraint::Min(1), |
| 797 | Constraint::Length(1), |
| 798 | ]) |
| 799 | .split(area); |
| 800 | render_loading_title(frame, app, zones[0]); |
| 801 | render_loading(frame, app, zones[1]); |
| 802 | render_loading_footer(frame, zones[2]); |
| 803 | return; |
| 804 | } |
| 805 | |
| 806 | let zones = Layout::vertical([ |
| 807 | Constraint::Length(1), |
| 808 | Constraint::Min(1), |
| 809 | Constraint::Length(3), |
| 810 | Constraint::Length(1), |
| 811 | ]) |
| 812 | .split(area); |
| 813 | |
| 814 | render_title(frame, app, zones[0]); |
| 815 | render_messages(frame, app, zones[1]); |
| 816 | render_input(frame, app, zones[2]); |
| 817 | render_footer(frame, app, zones[3]); |
| 818 | |
| 819 | if app.show_model_picker { |
| 820 | render_model_picker(frame, app, area); |
| 821 | } |
| 822 | } |
| 823 | |
| 824 | fn render_title(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) { |
| 825 | let model_label = format!(" siGit — {} ", app.current_model_name); |
| 826 | let tool_label = if app.tool_calling { |
| 827 | " [tools on] " |
| 828 | } else { |
| 829 | " [tools off] " |
| 830 | }; |
| 831 | let line = Line::from(vec![ |
| 832 | Span::styled( |
| 833 | model_label, |
| 834 | Style::default() |
| 835 | .fg(Color::Black) |
| 836 | .bg(Color::Green) |
| 837 | .add_modifier(Modifier::BOLD), |
| 838 | ), |
| 839 | Span::styled( |
| 840 | tool_label, |
| 841 | Style::default().fg(Color::Black).bg(Color::DarkGray), |
| 842 | ), |
| 843 | ]); |
| 844 | frame.render_widget(Paragraph::new(line), area); |
| 845 | } |
| 846 | |
| 847 | fn render_loading_title(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) { |
| 848 | const SPINNER: &[&str] = &["⣾", "⣽", "⣻", "⢿", "⡿", "⣟", "⣯", "⣷"]; |
| 849 | let spin = SPINNER[(app.load_tick as usize) % SPINNER.len()]; |
| 850 | let label = format!(" siGit {} loading {}… ", spin, app.load_model_name); |
| 851 | let line = Line::from(Span::styled( |
| 852 | label, |
| 853 | Style::default() |
| 854 | .fg(Color::Black) |
| 855 | .bg(Color::Green) |
| 856 | .add_modifier(Modifier::BOLD), |
| 857 | )); |
| 858 | frame.render_widget(Paragraph::new(line), area); |
| 859 | } |
| 860 | |
| 861 | fn render_loading(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) { |
| 862 | let elapsed = app.load_start.elapsed().as_secs(); |
| 863 | let elapsed_str = if elapsed < 60 { |
| 864 | format!("{}s", elapsed) |
| 865 | } else { |
| 866 | format!("{}m {}s", elapsed / 60, elapsed % 60) |
| 867 | }; |
| 868 | |
| 869 | let content = if let Some(ref err) = app.load_error { |
| 870 | format!( |
| 871 | "\n\n ✗ Failed to load model after {}.\n\n {}\n\n Press Ctrl+C to exit.", |
| 872 | elapsed_str, err |
| 873 | ) |
| 874 | } else { |
| 875 | format!( |
| 876 | "\n\n Loading model, please wait… ({})\n\n The model is being initialised. This may take a moment on first run.", |
| 877 | elapsed_str |
| 878 | ) |
| 879 | }; |
| 880 | |
| 881 | let style = if app.load_error.is_some() { |
| 882 | Style::default().fg(Color::Red) |
| 883 | } else { |
| 884 | Style::default().fg(Color::White) |
| 885 | }; |
| 886 | |
| 887 | frame.render_widget( |
| 888 | Paragraph::new(content) |
| 889 | .style(style) |
| 890 | .wrap(Wrap { trim: false }), |
| 891 | area, |
| 892 | ); |
| 893 | } |
| 894 | |
| 895 | fn render_loading_footer(frame: &mut Frame, area: ratatui::layout::Rect) { |
| 896 | let line = Line::from(vec![ |
| 897 | Span::styled(" Ctrl+C ", Style::default().fg(Color::Black).bg(Color::Red)), |
| 898 | Span::styled(" quit", Style::default().fg(Color::DarkGray)), |
| 899 | ]); |
| 900 | frame.render_widget(Paragraph::new(line), area); |
| 901 | } |
| 902 | |
| 903 | fn render_messages(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) { |
| 904 | let inner_width = area.width.saturating_sub(2); |
| 905 | let inner_height = area.height.saturating_sub(2); |
| 906 | |
| 907 | let block = Block::default() |
| 908 | .borders(Borders::ALL) |
| 909 | .border_style(Style::default().fg(Color::DarkGray)); |
| 910 | |
| 911 | let inner = block.inner(area); |
| 912 | frame.render_widget(block, area); |
| 913 | |
| 914 | let mut lines: Vec<Line> = Vec::new(); |
| 915 | |
| 916 | for msg in &app.messages { |
| 917 | render_chat_message(&mut lines, msg, inner_width as usize); |
| 918 | } |
| 919 | |
| 920 | let streamed_visible = app.visible_stream(); |
| 921 | if !streamed_visible.is_empty() { |
| 922 | let fake = ChatMessage { |
| 923 | role: Role::Assistant, |
| 924 | text: streamed_visible, |
| 925 | think_block: None, |
| 926 | }; |
| 927 | render_chat_message(&mut lines, &fake, inner_width as usize); |
| 928 | if app.blink_on |
| 929 | && let Some(last) = lines.last_mut() |
| 930 | { |
| 931 | last.spans |
| 932 | .push(Span::styled("▋", Style::default().fg(Color::Green))); |
| 933 | } |
| 934 | } |
| 935 | |
| 936 | if app.thinking { |
| 937 | lines.push(Line::from(Span::styled( |
| 938 | format!(" {} thinking…", app.thinking_frame()), |
| 939 | Style::default().fg(Color::DarkGray), |
| 940 | ))); |
| 941 | } else if app.switching_model { |
| 942 | // Once the weights have fully landed on disk, swap the spinner for a |
| 943 | // checkmark so it's clear the download finished and we're now loading |
| 944 | // the model into memory (which can still take a while). |
| 945 | let download_complete = matches!( |
| 946 | app.download_progress, |
| 947 | Some((downloaded, expected)) if expected > 0 && downloaded >= expected |
| 948 | ); |
| 949 | |
| 950 | if download_complete { |
| 951 | let size_str = app |
| 952 | .download_progress |
| 953 | .map(|(_, expected)| format!(" ({})", format_size_human(expected))) |
| 954 | .unwrap_or_default(); |
| 955 | lines.push(Line::from(vec![ |
| 956 | Span::styled(" ✓ ", Style::default().fg(Color::Green)), |
| 957 | Span::styled( |
| 958 | format!("model downloaded{size_str} — loading into memory…"), |
| 959 | Style::default().fg(Color::DarkGray), |
| 960 | ), |
| 961 | ])); |
| 962 | } else { |
| 963 | let progress_str = if let Some((downloaded, expected)) = app.download_progress { |
| 964 | if expected > 0 { |
| 965 | let pct = (downloaded as f64 / expected as f64 * 100.0).min(100.0) as u8; |
| 966 | let dl_str = format_size_human(downloaded.min(expected)); |
| 967 | let ex_str = format_size_human(expected); |
| 968 | format!(" — {dl_str} / {ex_str} ({pct}%)") |
| 969 | } else if downloaded > 0 { |
| 970 | format!(" — {} downloaded", format_size_human(downloaded)) |
| 971 | } else { |
| 972 | String::new() |
| 973 | } |
| 974 | } else { |
| 975 | String::new() |
| 976 | }; |
| 977 | lines.push(Line::from(Span::styled( |
| 978 | format!(" {} switching model{progress_str}…", app.switching_frame()), |
| 979 | Style::default().fg(Color::DarkGray), |
| 980 | ))); |
| 981 | } |
| 982 | } |
| 983 | |
| 984 | // Always pin to the bottom so the latest message stays visible. There is |
| 985 | // no scrollback, so we just need the exact number of wrapped rows the |
| 986 | // paragraph occupies at this width — `line_count` runs the same |
| 987 | // WordWrapper as rendering, so it never diverges from what's drawn (an |
| 988 | // estimate would, e.g. by forgetting the `<think>` box lines, and scroll |
| 989 | // too little — the bug this fixes). |
| 990 | let paragraph = Paragraph::new(lines).wrap(Wrap { trim: false }); |
| 991 | let total_lines = paragraph.line_count(inner_width) as u16; |
| 992 | let scroll = total_lines.saturating_sub(inner_height); |
| 993 | |
| 994 | frame.render_widget(paragraph.scroll((scroll, 0)), inner); |
| 995 | } |
| 996 | |
| 997 | fn render_chat_message(lines: &mut Vec<Line<'static>>, msg: &ChatMessage, _width: usize) { |
| 998 | match msg.role { |
| 999 | Role::Banner => { |
| 1000 | let palette = [ |
| 1001 | Color::Red, |
| 1002 | Color::Yellow, |
| 1003 | Color::Green, |
| 1004 | Color::Cyan, |
| 1005 | Color::Blue, |
| 1006 | Color::Magenta, |
| 1007 | ]; |
| 1008 | let mut spans = Vec::new(); |
| 1009 | for (i, ch) in msg.text.chars().enumerate() { |
| 1010 | let color = palette[i % palette.len()]; |
| 1011 | spans.push(Span::styled(ch.to_string(), Style::default().fg(color))); |
| 1012 | } |
| 1013 | lines.push(Line::from(spans)); |
| 1014 | } |
| 1015 | Role::System => { |
| 1016 | for text_line in msg.text.split('\n') { |
| 1017 | let trimmed = text_line.trim(); |
| 1018 | let (prefix, body) = if trimmed.is_empty() { |
| 1019 | ("", "") |
| 1020 | } else { |
| 1021 | (" · ", trimmed) |
| 1022 | }; |
| 1023 | |
| 1024 | lines.push(Line::from(vec![ |
| 1025 | Span::styled( |
| 1026 | prefix.to_string(), |
| 1027 | Style::default() |
| 1028 | .fg(Color::Rgb(90, 90, 98)) |
| 1029 | .add_modifier(Modifier::DIM), |
| 1030 | ), |
| 1031 | Span::styled( |
| 1032 | body.to_string(), |
| 1033 | Style::default() |
| 1034 | .fg(Color::Rgb(132, 132, 145)) |
| 1035 | .add_modifier(Modifier::ITALIC | Modifier::DIM), |
| 1036 | ), |
| 1037 | ])); |
| 1038 | } |
| 1039 | } |
| 1040 | Role::User => { |
| 1041 | let prefix = Span::styled( |
| 1042 | "you > ".to_string(), |
| 1043 | Style::default() |
| 1044 | .fg(Color::Green) |
| 1045 | .add_modifier(Modifier::BOLD), |
| 1046 | ); |
| 1047 | let mut first = true; |
| 1048 | for text_line in msg.text.split('\n') { |
| 1049 | if first { |
| 1050 | lines.push(Line::from(vec![ |
| 1051 | prefix.clone(), |
| 1052 | Span::raw(text_line.to_string()), |
| 1053 | ])); |
| 1054 | first = false; |
| 1055 | } else { |
| 1056 | lines.push(Line::from(Span::raw(format!(" {text_line}")))); |
| 1057 | } |
| 1058 | } |
| 1059 | } |
| 1060 | Role::Assistant => { |
| 1061 | if let Some(ref think) = msg.think_block { |
| 1062 | lines.push(Line::from(Span::styled( |
| 1063 | " ┌ thinking ".to_string(), |
| 1064 | Style::default().fg(Color::DarkGray), |
| 1065 | ))); |
| 1066 | for think_line in think.split('\n') { |
| 1067 | lines.push(Line::from(Span::styled( |
| 1068 | format!(" │ {think_line}"), |
| 1069 | Style::default().fg(Color::DarkGray), |
| 1070 | ))); |
| 1071 | } |
| 1072 | lines.push(Line::from(Span::styled( |
| 1073 | " └─────────".to_string(), |
| 1074 | Style::default().fg(Color::DarkGray), |
| 1075 | ))); |
| 1076 | } |
| 1077 | |
| 1078 | let prefix = Span::styled( |
| 1079 | "siGit > ".to_string(), |
| 1080 | Style::default() |
| 1081 | .fg(Color::Cyan) |
| 1082 | .add_modifier(Modifier::BOLD), |
| 1083 | ); |
| 1084 | let body_style = Style::default(); |
| 1085 | let bold_style = Style::default().add_modifier(Modifier::BOLD); |
| 1086 | let mut first = true; |
| 1087 | for text_line in msg.text.split('\n') { |
| 1088 | if first { |
| 1089 | let mut spans = vec![prefix.clone()]; |
| 1090 | spans.extend(rich_text_spans(text_line, body_style, bold_style)); |
| 1091 | lines.push(Line::from(spans)); |
| 1092 | first = false; |
| 1093 | } else { |
| 1094 | let mut spans = vec![Span::raw(" ".to_string())]; |
| 1095 | spans.extend(rich_text_spans(text_line, body_style, bold_style)); |
| 1096 | lines.push(Line::from(spans)); |
| 1097 | } |
| 1098 | } |
| 1099 | } |
| 1100 | } |
| 1101 | } |
| 1102 | |
| 1103 | fn render_input(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) { |
| 1104 | let block = Block::default() |
| 1105 | .borders(Borders::ALL) |
| 1106 | .border_style(Style::default().fg(Color::DarkGray)) |
| 1107 | .title(" message "); |
| 1108 | |
| 1109 | let inner = block.inner(area); |
| 1110 | frame.render_widget(block, area); |
| 1111 | |
| 1112 | let display = app.input.clone(); |
| 1113 | frame.render_widget( |
| 1114 | Paragraph::new(display.clone()).wrap(Wrap { trim: false }), |
| 1115 | inner, |
| 1116 | ); |
| 1117 | |
| 1118 | let col = (app.cursor as u16) % inner.width; |
| 1119 | let row = (app.cursor as u16) / inner.width; |
| 1120 | frame.set_cursor_position(Position { |
| 1121 | x: inner.x + col, |
| 1122 | y: inner.y + row, |
| 1123 | }); |
| 1124 | } |
| 1125 | |
| 1126 | fn render_footer(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) { |
| 1127 | let mut spans = vec![ |
| 1128 | Span::styled( |
| 1129 | " Enter ", |
| 1130 | Style::default().fg(Color::Black).bg(Color::Green), |
| 1131 | ), |
| 1132 | Span::styled(" send ", Style::default().fg(Color::DarkGray)), |
| 1133 | Span::styled( |
| 1134 | " /help ", |
| 1135 | Style::default().fg(Color::Black).bg(Color::DarkGray), |
| 1136 | ), |
| 1137 | Span::styled(" commands ", Style::default().fg(Color::DarkGray)), |
| 1138 | Span::styled(" Ctrl+C ", Style::default().fg(Color::Black).bg(Color::Red)), |
| 1139 | Span::styled(" quit", Style::default().fg(Color::DarkGray)), |
| 1140 | ]; |
| 1141 | |
| 1142 | if app.thinking || app.switching_model || app.is_streaming() { |
| 1143 | spans.push(Span::styled( |
| 1144 | " (busy — Ctrl+C to cancel)", |
| 1145 | Style::default().fg(Color::Yellow), |
| 1146 | )); |
| 1147 | } |
| 1148 | |
| 1149 | frame.render_widget(Paragraph::new(Line::from(spans)), area); |
| 1150 | } |
| 1151 | |
| 1152 | fn handle_key(app: &mut App, key: KeyEvent) -> Option<String> { |
| 1153 | if key.kind != KeyEventKind::Press { |
| 1154 | return None; |
| 1155 | } |
| 1156 | |
| 1157 | if app.show_model_picker { |
| 1158 | match key.code { |
| 1159 | KeyCode::Esc => { |
| 1160 | app.close_model_picker(); |
| 1161 | return None; |
| 1162 | } |
| 1163 | KeyCode::Up => { |
| 1164 | app.move_model_picker_up(); |
| 1165 | return None; |
| 1166 | } |
| 1167 | KeyCode::Down => { |
| 1168 | app.move_model_picker_down(); |
| 1169 | return None; |
| 1170 | } |
| 1171 | KeyCode::Enter => { |
| 1172 | return Some(format!("/models {}", app.model_picker_index + 1)); |
| 1173 | } |
| 1174 | _ => return None, |
| 1175 | } |
| 1176 | } |
| 1177 | |
| 1178 | match key.code { |
| 1179 | KeyCode::Char('c') if key.modifiers.contains(KeyModifiers::CONTROL) => { |
| 1180 | app.quit = true; |
| 1181 | None |
| 1182 | } |
| 1183 | KeyCode::Char('d') if key.modifiers.contains(KeyModifiers::CONTROL) => { |
| 1184 | app.quit = true; |
| 1185 | None |
| 1186 | } |
| 1187 | KeyCode::Enter => { |
| 1188 | if app.input.trim().is_empty() { |
| 1189 | return None; |
| 1190 | } |
| 1191 | let text = app.input.drain(..).collect::<String>(); |
| 1192 | app.cursor = 0; |
| 1193 | Some(text) |
| 1194 | } |
| 1195 | KeyCode::Backspace => { |
| 1196 | if app.cursor > 0 { |
| 1197 | app.cursor -= 1; |
| 1198 | app.input.remove(app.cursor); |
| 1199 | } |
| 1200 | None |
| 1201 | } |
| 1202 | KeyCode::Delete => { |
| 1203 | if app.cursor < app.input.len() { |
| 1204 | app.input.remove(app.cursor); |
| 1205 | } |
| 1206 | None |
| 1207 | } |
| 1208 | KeyCode::Left => { |
| 1209 | app.cursor = app.cursor.saturating_sub(1); |
| 1210 | None |
| 1211 | } |
| 1212 | KeyCode::Right => { |
| 1213 | if app.cursor < app.input.len() { |
| 1214 | app.cursor += 1; |
| 1215 | } |
| 1216 | None |
| 1217 | } |
| 1218 | KeyCode::Home => { |
| 1219 | app.cursor = 0; |
| 1220 | None |
| 1221 | } |
| 1222 | KeyCode::End => { |
| 1223 | app.cursor = app.input.len(); |
| 1224 | None |
| 1225 | } |
| 1226 | KeyCode::Char(ch) => { |
| 1227 | app.input.insert(app.cursor, ch); |
| 1228 | app.cursor += 1; |
| 1229 | None |
| 1230 | } |
| 1231 | _ => None, |
| 1232 | } |
| 1233 | } |
| 1234 | |
| 1235 | // ── Explicit on-device model loading ────────────────────────────────────── |
| 1236 | |
| 1237 | /// The local model `/load` should bring up: the persisted selection if it |
| 1238 | /// still resolves to a known model, otherwise the first on-device (non-cloud) |
| 1239 | /// entry in the picker. |
| 1240 | fn default_local_model_item(app: &App) -> Option<ModelPickerItem> { |
| 1241 | if let Some(selected) = crate::setup::load_selected_model() |
| 1242 | && let Some(item) = app.model_picker_items.iter().find(|item| { |
| 1243 | item.config.model_id == selected.model_id |
| 1244 | && item |
| 1245 | .config |
| 1246 | .files |
| 1247 | .iter() |
| 1248 | .any(|file| file == &selected.gguf_file) |
| 1249 | }) |
| 1250 | { |
| 1251 | return Some(item.clone()); |
| 1252 | } |
| 1253 | app.model_picker_items |
| 1254 | .iter() |
| 1255 | .find(|item| item.cloud_tier.is_none()) |
| 1256 | .cloned() |
| 1257 | } |
| 1258 | |
| 1259 | /// Load `model` on-device on a dedicated loader thread, routing inference to a |
| 1260 | /// fresh `LocalBackend` and driving the switch-progress UI. The caller is |
| 1261 | /// responsible for any cloud-tier handling; this path is on-device only. |
| 1262 | fn start_local_model_load<B: ratatui::backend::Backend>( |
| 1263 | app: &mut App, |
| 1264 | model: ModelPickerItem, |
| 1265 | engine: Arc<ChatEngine>, |
| 1266 | terminal: &mut ratatui::Terminal<B>, |
| 1267 | ) { |
| 1268 | if model.cache_health == ModelCacheHealth::Incomplete { |
| 1269 | app.messages.push(ChatMessage::system(format!( |
| 1270 | "error: {} has an incomplete local cache and cannot be selected yet.", |
| 1271 | model.display_name |
| 1272 | ))); |
| 1273 | return; |
| 1274 | } |
| 1275 | |
| 1276 | // Loading an on-device model puts us in local inference mode. |
| 1277 | let _ = crate::settings::set_local_inference(true); |
| 1278 | |
| 1279 | // Route inference on-device; the loader thread below fills the engine the |
| 1280 | // LocalBackend reads from. |
| 1281 | app.backend = Arc::new(LocalBackend::new(Arc::clone(&engine))); |
| 1282 | |
| 1283 | let loading_msg = if model.cache_health == ModelCacheHealth::NotDownloaded { |
| 1284 | format!( |
| 1285 | "Downloading and loading {} ({})… this may take a few minutes.", |
| 1286 | model.display_name, model.description |
| 1287 | ) |
| 1288 | } else { |
| 1289 | format!("Loading {}…", model.display_name) |
| 1290 | }; |
| 1291 | |
| 1292 | app.messages.push(ChatMessage::system(loading_msg)); |
| 1293 | terminal.draw(|frame| render(frame, app)).ok(); |
| 1294 | |
| 1295 | let (tx, rx) = mpsc::channel(1); |
| 1296 | app.model_load_rx = Some(rx); |
| 1297 | app.switching_model = true; |
| 1298 | app.switching_model_id = Some(model.config.model_id.clone()); |
| 1299 | // Only show download progress for models not yet cached. |
| 1300 | app.download_progress = if model.cache_health == ModelCacheHealth::NotDownloaded { |
| 1301 | Some((0, 0)) |
| 1302 | } else { |
| 1303 | None |
| 1304 | }; |
| 1305 | |
| 1306 | let sampling = SamplingConfig { |
| 1307 | max_tokens: Some(model.max_tokens), |
| 1308 | ..SamplingConfig::default() |
| 1309 | }; |
| 1310 | |
| 1311 | // own thread + runtime so block_in_place doesn't starve the TUI loop. |
| 1312 | // Fold in project instruction files (AGENTS.md / CLAUDE.md) for the launch |
| 1313 | // directory so the on-device model gets the same always-on context the |
| 1314 | // cloud and ACP paths get. |
| 1315 | let system_prompt = { |
| 1316 | let base = crate::system_prompt_for_model(model.tool_calling).to_string(); |
| 1317 | match std::env::current_dir() |
| 1318 | .ok() |
| 1319 | .and_then(|cwd| crate::instructions::load_project_instructions(&cwd)) |
| 1320 | { |
| 1321 | Some(extra) => format!("{base}\n\n{extra}"), |
| 1322 | None => base, |
| 1323 | } |
| 1324 | }; |
| 1325 | let engine_handle = Arc::clone(&engine); |
| 1326 | let tool_calling = model.tool_calling; |
| 1327 | std::thread::spawn(move || { |
| 1328 | let rt = tokio::runtime::Runtime::new().expect("failed to create model-loader runtime"); |
| 1329 | let update = rt.block_on(async move { |
| 1330 | match engine_handle |
| 1331 | .load_gguf_model( |
| 1332 | model.config.clone(), |
| 1333 | Some(system_prompt.to_string()), |
| 1334 | Some(sampling), |
| 1335 | ) |
| 1336 | .await |
| 1337 | { |
| 1338 | Ok(_) => ModelLoadUpdate::Loaded(model.display_name.clone()), |
| 1339 | Err(err) => ModelLoadUpdate::Error(err.to_string()), |
| 1340 | } |
| 1341 | }); |
| 1342 | // capacity-1 channel, receiver alive while switching |
| 1343 | let _ = tx.blocking_send(update); |
| 1344 | }); |
| 1345 | // applied on ModelLoadUpdate::Loaded |
| 1346 | app.pending_tool_calling = Some(tool_calling); |
| 1347 | } |
| 1348 | |
| 1349 | // ── Slash command execution ─────────────────────────────────────────────── |
| 1350 | |
| 1351 | async fn exec_slash<B: ratatui::backend::Backend>( |
| 1352 | app: &mut App, |
| 1353 | cmd: SlashCommand, |
| 1354 | engine: Arc<ChatEngine>, |
| 1355 | terminal: &mut ratatui::Terminal<B>, |
| 1356 | ) { |
| 1357 | match cmd { |
| 1358 | SlashCommand::Help => { |
| 1359 | app.messages.push(ChatMessage::system( |
| 1360 | "/help — show this message\n\ |
| 1361 | /models — open the model picker\n\ |
| 1362 | /models N — switch to model N\n\ |
| 1363 | /local [on|off]— toggle on-device inference mode\n\ |
| 1364 | /skills — list available Agent Skills\n\ |
| 1365 | /mcp — list MCP servers and their tools\n\ |
| 1366 | /load — load the selected on-device model\n\ |
| 1367 | /login E P — sign in to siGit Code Cloud\n\ |
| 1368 | /logout — sign out\n\ |
| 1369 | /whoami — show the signed-in account\n\ |
| 1370 | /clear — wipe conversation history\n\ |
| 1371 | /status — show engine status\n\ |
| 1372 | /exit — quit chat", |
| 1373 | )); |
| 1374 | } |
| 1375 | SlashCommand::Clear => { |
| 1376 | let cleared = engine.clear_history().await; |
| 1377 | app.messages.clear(); |
| 1378 | app.messages.push(ChatMessage::system(format!( |
| 1379 | "Cleared {cleared} turn(s). History is empty.", |
| 1380 | ))); |
| 1381 | } |
| 1382 | SlashCommand::Status => { |
| 1383 | let info = engine.as_ref().info().await; |
| 1384 | let model = info.model_name.as_deref().unwrap_or("(none)"); |
| 1385 | let mem = info.approx_memory.as_deref().unwrap_or("unknown"); |
| 1386 | app.messages.push(ChatMessage::system(format!( |
| 1387 | "status: {:?} model: {} memory: {} history: {} turns", |
| 1388 | info.status, model, mem, info.history_length, |
| 1389 | ))); |
| 1390 | } |
| 1391 | SlashCommand::Skills => { |
| 1392 | app.messages |
| 1393 | .push(ChatMessage::system(crate::skills::format_skills_list())); |
| 1394 | } |
| 1395 | SlashCommand::Mcp => { |
| 1396 | app.messages |
| 1397 | .push(ChatMessage::system(crate::mcp::status_summary())); |
| 1398 | } |
| 1399 | SlashCommand::Models(selection) => match selection { |
| 1400 | None => { |
| 1401 | app.open_model_picker(&engine); |
| 1402 | } |
| 1403 | Some(n) => { |
| 1404 | let idx = n.saturating_sub(1); |
| 1405 | match app.model_picker_items.get(idx).cloned() { |
| 1406 | None => { |
| 1407 | app.messages.push(ChatMessage::system(format!( |
| 1408 | "error: no model #{n} — type /models to see the list." |
| 1409 | ))); |
| 1410 | } |
| 1411 | Some(model) => { |
| 1412 | // ── siGit Code Cloud tier: no local load; sign-in gated ── |
| 1413 | if let Some(tier) = model.cloud_tier.clone() { |
| 1414 | app.close_model_picker(); |
| 1415 | match crate::provider::cloud_tier_provider(&tier) { |
| 1416 | Some(provider) => { |
| 1417 | let system_prompt = |
| 1418 | crate::system_prompt_for_model(true).to_string(); |
| 1419 | app.backend = Arc::new(OpenAiBackend::new( |
| 1420 | provider.base_url, |
| 1421 | provider.api_key, |
| 1422 | provider.model, |
| 1423 | Some(system_prompt), |
| 1424 | )); |
| 1425 | app.current_model_name = provider.display_name.clone(); |
| 1426 | app.tool_calling = true; |
| 1427 | // Selecting a cloud tier puts us in cloud mode. |
| 1428 | let _ = crate::settings::set_local_inference(false); |
| 1429 | app.messages.push(ChatMessage::system(format!( |
| 1430 | "Switched to {}.", |
| 1431 | provider.display_name |
| 1432 | ))); |
| 1433 | } |
| 1434 | None => { |
| 1435 | app.messages.push(ChatMessage::system( |
| 1436 | "siGit Code Cloud needs an account. Use \ |
| 1437 | `/login <email> <password>`, or create one at sigit.si.", |
| 1438 | )); |
| 1439 | } |
| 1440 | } |
| 1441 | return; |
| 1442 | } |
| 1443 | |
| 1444 | app.close_model_picker(); |
| 1445 | start_local_model_load(app, model, Arc::clone(&engine), terminal); |
| 1446 | } |
| 1447 | } |
| 1448 | } |
| 1449 | }, |
| 1450 | SlashCommand::Local(value) => { |
| 1451 | let enabled = value.unwrap_or(!crate::settings::local_inference_enabled()); |
| 1452 | match crate::settings::set_local_inference(enabled) { |
| 1453 | Ok(()) => { |
| 1454 | let state = if enabled { "on" } else { "off" }; |
| 1455 | let hint = if enabled { |
| 1456 | "On-device models are highlighted. Type /models to pick one." |
| 1457 | } else { |
| 1458 | "siGit Code Cloud tiers are highlighted. Type /models to pick one." |
| 1459 | }; |
| 1460 | app.messages.push(ChatMessage::system(format!( |
| 1461 | "Local inference is {state}. {hint}" |
| 1462 | ))); |
| 1463 | // Refresh the picker so emphasis/order reflects the new mode. |
| 1464 | if app.show_model_picker { |
| 1465 | app.open_model_picker(&engine); |
| 1466 | } |
| 1467 | } |
| 1468 | Err(error) => { |
| 1469 | app.messages.push(ChatMessage::system(format!( |
| 1470 | "error: could not save local inference setting: {error}" |
| 1471 | ))); |
| 1472 | } |
| 1473 | } |
| 1474 | } |
| 1475 | SlashCommand::Load => match default_local_model_item(app) { |
| 1476 | None => { |
| 1477 | app.messages.push(ChatMessage::system( |
| 1478 | "No local model available to load. Use /models to see the list.", |
| 1479 | )); |
| 1480 | } |
| 1481 | Some(model) => { |
| 1482 | start_local_model_load(app, model, Arc::clone(&engine), terminal); |
| 1483 | } |
| 1484 | }, |
| 1485 | SlashCommand::Login(arg) => { |
| 1486 | let message = match arg.as_deref().and_then(crate::account::parse_login_args) { |
| 1487 | Some((email, password)) => { |
| 1488 | match crate::account::authenticate(&email, &password).await { |
| 1489 | Ok(email) => format!( |
| 1490 | "Signed in as {email}. siGit Code Cloud applies to your next session." |
| 1491 | ), |
| 1492 | Err(error) => format!("Login failed: {error}"), |
| 1493 | } |
| 1494 | } |
| 1495 | None => "usage: /login <email> <password>".to_string(), |
| 1496 | }; |
| 1497 | app.messages.push(ChatMessage::system(message)); |
| 1498 | } |
| 1499 | SlashCommand::Logout => { |
| 1500 | let message = crate::account::end_session().await; |
| 1501 | app.messages.push(ChatMessage::system(message)); |
| 1502 | } |
| 1503 | SlashCommand::Whoami => { |
| 1504 | let message = crate::account::status_line().await; |
| 1505 | app.messages.push(ChatMessage::system(message)); |
| 1506 | } |
| 1507 | SlashCommand::Exit => { |
| 1508 | app.quit = true; |
| 1509 | } |
| 1510 | SlashCommand::Unknown(cmd) => { |
| 1511 | app.messages |
| 1512 | .push(ChatMessage::system(format!("unknown command: {cmd}"))); |
| 1513 | } |
| 1514 | } |
| 1515 | } |
| 1516 | |
| 1517 | // ── Background inference task ───────────────────────────────────────────── |
| 1518 | |
| 1519 | /// cap tool rounds so a confused model can't loop forever |
| 1520 | const MAX_TOOL_ROUNDS: usize = 10; |
| 1521 | |
| 1522 | fn build_tool_specs() -> Vec<ToolSpec> { |
| 1523 | let mut specs: Vec<ToolSpec> = crate::tools::all_tools() |
| 1524 | .into_iter() |
| 1525 | .map(|t| ToolSpec { |
| 1526 | name: t.name.to_string(), |
| 1527 | description: t.description.to_string(), |
| 1528 | parameters_schema: t.parameters_schema.to_string(), |
| 1529 | }) |
| 1530 | .collect(); |
| 1531 | |
| 1532 | // Advertise the Agent Skills `skill` tool only when skills exist on disk |
| 1533 | // (https://agentskills.io). The tool description carries the discovery |
| 1534 | // list (name + description) for progressive disclosure. |
| 1535 | let discovered = crate::skills::discover_skills(); |
| 1536 | if !discovered.is_empty() { |
| 1537 | specs.push(ToolSpec { |
| 1538 | name: crate::skills::SKILL_TOOL_NAME.to_string(), |
| 1539 | description: crate::skills::skill_tool_description(&discovered), |
| 1540 | parameters_schema: crate::skills::skill_tool_schema().to_string(), |
| 1541 | }); |
| 1542 | } |
| 1543 | |
| 1544 | // Tools discovered from configured MCP servers (incl. the official one). |
| 1545 | specs.extend(crate::mcp::tool_specs()); |
| 1546 | |
| 1547 | specs |
| 1548 | } |
| 1549 | |
| 1550 | /// run the tool-calling loop off the main thread, posting updates via `tx`. |
| 1551 | /// dropping `tx` signals completion to the event loop. |
| 1552 | async fn run_inference_task( |
| 1553 | backend: Arc<dyn InferenceBackend>, |
| 1554 | text: String, |
| 1555 | tx: mpsc::Sender<InferenceUpdate>, |
| 1556 | tools_enabled: bool, |
| 1557 | ) { |
| 1558 | let tools = if tools_enabled { |
| 1559 | build_tool_specs() |
| 1560 | } else { |
| 1561 | vec![] |
| 1562 | }; |
| 1563 | |
| 1564 | // Bridge the backend's token sink (plain strings) onto the UI update |
| 1565 | // channel as `Delta` messages. The forwarder lives for the whole turn. |
| 1566 | let (delta_tx, mut delta_rx) = mpsc::unbounded_channel::<String>(); |
| 1567 | let forward_tx = tx.clone(); |
| 1568 | let forwarder = tokio::spawn(async move { |
| 1569 | while let Some(piece) = delta_rx.recv().await { |
| 1570 | if forward_tx |
| 1571 | .send(InferenceUpdate::Delta(piece)) |
| 1572 | .await |
| 1573 | .is_err() |
| 1574 | { |
| 1575 | break; |
| 1576 | } |
| 1577 | } |
| 1578 | }); |
| 1579 | |
| 1580 | // The first round offers tools, so on-device inference can't stream it |
| 1581 | // (it must buffer to detect tool calls). With tools disabled there are |
| 1582 | // none to offer, so it streams directly. |
| 1583 | let first_sink = if tools.is_empty() { |
| 1584 | Some(&delta_tx) |
| 1585 | } else { |
| 1586 | None |
| 1587 | }; |
| 1588 | let mut streamed = first_sink.is_some(); |
| 1589 | |
| 1590 | let mut result = match backend |
| 1591 | .send_message_with_tools(&text, &tools, first_sink) |
| 1592 | .await |
| 1593 | { |
| 1594 | Ok(r) => r, |
| 1595 | Err(err) => { |
| 1596 | let _ = tx.send(InferenceUpdate::Error(err)).await; |
| 1597 | return; |
| 1598 | } |
| 1599 | }; |
| 1600 | |
| 1601 | let mut round = 0; |
| 1602 | |
| 1603 | while !result.tool_calls.is_empty() && round < MAX_TOOL_ROUNDS { |
| 1604 | // any tool call means the first round didn't produce a final answer |
| 1605 | streamed = false; |
| 1606 | round += 1; |
| 1607 | log::info!("tool round {} — {} call(s)", round, result.tool_calls.len()); |
| 1608 | |
| 1609 | let mut tool_results = Vec::new(); |
| 1610 | |
| 1611 | for tc in &result.tool_calls { |
| 1612 | log::info!( |
| 1613 | " → {}({})", |
| 1614 | tc.name, |
| 1615 | tc.arguments.chars().take(120).collect::<String>() |
| 1616 | ); |
| 1617 | |
| 1618 | let _ = tx.send(InferenceUpdate::ToolUse(tc.name.clone())).await; |
| 1619 | |
| 1620 | let output = crate::tools::execute_tool(&tc.name, &tc.arguments).await; |
| 1621 | log::info!(" ← {} chars", output.len()); |
| 1622 | |
| 1623 | tool_results.push(ToolResult { |
| 1624 | tool_call_id: tc.id.clone(), |
| 1625 | content: output, |
| 1626 | }); |
| 1627 | } |
| 1628 | |
| 1629 | // on the last round, pass no tools so the model must produce text — |
| 1630 | // that's also the round we can stream on-device. |
| 1631 | let next_tools = if round < MAX_TOOL_ROUNDS { |
| 1632 | Some(tools.as_slice()) |
| 1633 | } else { |
| 1634 | None |
| 1635 | }; |
| 1636 | let sink = if next_tools.is_none() { |
| 1637 | streamed = true; |
| 1638 | Some(&delta_tx) |
| 1639 | } else { |
| 1640 | None |
| 1641 | }; |
| 1642 | |
| 1643 | match backend |
| 1644 | .send_tool_results(tool_results, next_tools, sink) |
| 1645 | .await |
| 1646 | { |
| 1647 | Ok(r) => result = r, |
| 1648 | Err(err) => { |
| 1649 | let _ = tx.send(InferenceUpdate::Error(err)).await; |
| 1650 | return; |
| 1651 | } |
| 1652 | } |
| 1653 | } |
| 1654 | |
| 1655 | // Drop the sink so the forwarder finishes draining any buffered tokens |
| 1656 | // before we commit the reply. |
| 1657 | drop(delta_tx); |
| 1658 | let _ = forwarder.await; |
| 1659 | |
| 1660 | if result.tool_calls.is_empty() { |
| 1661 | if result.text.is_empty() { |
| 1662 | log::warn!( |
| 1663 | "model returned empty reply — may have exhausted max_tokens on thinking" |
| 1664 | ); |
| 1665 | let _ = tx |
| 1666 | .send(InferenceUpdate::Error( |
| 1667 | "(empty response — the model may have used all tokens on internal reasoning. \ |
| 1668 | Try a shorter or simpler prompt.)" |
| 1669 | .to_string(), |
| 1670 | )) |
| 1671 | .await; |
| 1672 | } else if streamed { |
| 1673 | // tokens already went out as deltas; just commit the buffer |
| 1674 | let _ = tx.send(InferenceUpdate::StreamEnd).await; |
| 1675 | } else { |
| 1676 | let _ = tx.send(InferenceUpdate::Response(result.text)).await; |
| 1677 | } |
| 1678 | } |
| 1679 | |
| 1680 | log::info!("inference complete — {} tool round(s)", round); |
| 1681 | // tx drops here — event loop gets None from rx.recv() |
| 1682 | } |
| 1683 | |
| 1684 | // ── Main loop ───────────────────────────────────────────────────────────── |
| 1685 | |
| 1686 | /// entry point — blocks until the user quits. |
| 1687 | /// caller owns terminal init/restore. `load_rx` delivers the model-load result |
| 1688 | /// from a dedicated OS thread; we poll it non-blocking each tick. |
| 1689 | pub async fn run_with<B: ratatui::backend::Backend>( |
| 1690 | terminal: &mut ratatui::Terminal<B>, |
| 1691 | engine: Arc<ChatEngine>, |
| 1692 | backend: Arc<dyn InferenceBackend>, |
| 1693 | load_rx: std_mpsc::Receiver<Result<(), String>>, |
| 1694 | load_model_name: String, |
| 1695 | ) -> Result<()> { |
| 1696 | event_loop(terminal, engine, backend, load_rx, load_model_name).await |
| 1697 | } |
| 1698 | |
| 1699 | async fn event_loop<B: ratatui::backend::Backend>( |
| 1700 | terminal: &mut ratatui::Terminal<B>, |
| 1701 | engine: Arc<ChatEngine>, |
| 1702 | backend: Arc<dyn InferenceBackend>, |
| 1703 | load_rx: std_mpsc::Receiver<Result<(), String>>, |
| 1704 | load_model_name: String, |
| 1705 | ) -> Result<()> { |
| 1706 | let mut app = App::new(load_model_name, backend); |
| 1707 | let mut event_stream = EventStream::new(); |
| 1708 | |
| 1709 | // 10 fps is plenty for spinners |
| 1710 | let mut ticker = interval(Duration::from_millis(100)); |
| 1711 | |
| 1712 | loop { |
| 1713 | // ── Poll the loader channel (non-blocking) ──────────────────────── |
| 1714 | if app.is_loading { |
| 1715 | match load_rx.try_recv() { |
| 1716 | Ok(Ok(())) => app.finish_loading(), |
| 1717 | Ok(Err(e)) => app.set_load_error(e), |
| 1718 | Err(std_mpsc::TryRecvError::Empty) => {} |
| 1719 | Err(std_mpsc::TryRecvError::Disconnected) => { |
| 1720 | app.set_load_error("Model loader thread crashed.".to_string()); |
| 1721 | } |
| 1722 | } |
| 1723 | } |
| 1724 | |
| 1725 | // redraw every iteration |
| 1726 | terminal.draw(|frame| render(frame, &mut app))?; |
| 1727 | |
| 1728 | if let Some(rx) = app.model_load_rx.as_mut() { |
| 1729 | match rx.try_recv() { |
| 1730 | Ok(ModelLoadUpdate::Loaded(model_name)) => { |
| 1731 | engine.clear_history().await; |
| 1732 | if let Some(tc) = app.pending_tool_calling.take() { |
| 1733 | app.tool_calling = tc; |
| 1734 | } |
| 1735 | app.switching_model = false; |
| 1736 | app.switching_model_id = None; |
| 1737 | app.download_progress = None; |
| 1738 | app.model_load_cancelled = false; |
| 1739 | app.model_load_rx = None; |
| 1740 | app.current_model_name = model_name.clone(); |
| 1741 | |
| 1742 | let save_result = app |
| 1743 | .model_picker_items |
| 1744 | .iter() |
| 1745 | .find(|item| item.display_name == model_name) |
| 1746 | .map(|item| crate::setup::SelectedModel { |
| 1747 | model_id: item.config.model_id.clone(), |
| 1748 | gguf_file: item |
| 1749 | .config |
| 1750 | .files |
| 1751 | .first() |
| 1752 | .cloned() |
| 1753 | .unwrap_or_else(String::new), |
| 1754 | }) |
| 1755 | .filter(|selected| !selected.gguf_file.is_empty()) |
| 1756 | .map(|selected| crate::setup::save_selected_model(&selected)) |
| 1757 | .unwrap_or_else(|| { |
| 1758 | Err(format!( |
| 1759 | "could not determine a stable identifier for {}", |
| 1760 | model_name |
| 1761 | )) |
| 1762 | }); |
| 1763 | |
| 1764 | if let Err(error) = save_result { |
| 1765 | app.messages.push(ChatMessage::system(format!( |
| 1766 | "warning: switched to {} but could not save the selection: {}", |
| 1767 | model_name, error |
| 1768 | ))); |
| 1769 | } else { |
| 1770 | app.messages |
| 1771 | .push(ChatMessage::system(format!("✓ Switched to {}", model_name))); |
| 1772 | } |
| 1773 | } |
| 1774 | Ok(ModelLoadUpdate::Error(error)) => { |
| 1775 | app.switching_model = false; |
| 1776 | app.switching_model_id = None; |
| 1777 | app.download_progress = None; |
| 1778 | app.model_load_cancelled = false; |
| 1779 | app.model_load_rx = None; |
| 1780 | app.messages |
| 1781 | .push(ChatMessage::system(format!("error loading model: {error}"))); |
| 1782 | } |
| 1783 | Err(tokio::sync::mpsc::error::TryRecvError::Empty) => {} |
| 1784 | Err(tokio::sync::mpsc::error::TryRecvError::Disconnected) => { |
| 1785 | let was_cancelled = app.model_load_cancelled; |
| 1786 | app.switching_model = false; |
| 1787 | app.switching_model_id = None; |
| 1788 | app.download_progress = None; |
| 1789 | app.model_load_cancelled = false; |
| 1790 | app.model_load_rx = None; |
| 1791 | if !was_cancelled { |
| 1792 | app.messages.push(ChatMessage::system( |
| 1793 | "error loading model: loader task disconnected".to_string(), |
| 1794 | )); |
| 1795 | } |
| 1796 | } |
| 1797 | } |
| 1798 | } |
| 1799 | |
| 1800 | if app.quit { |
| 1801 | break; |
| 1802 | } |
| 1803 | |
| 1804 | // multiplex terminal events, streaming tokens, inference updates, |
| 1805 | // and the thinking-spinner timer. |
| 1806 | tokio::select! { |
| 1807 | biased; |
| 1808 | |
| 1809 | // ── Spinner tick (loading phase only) ───────────────────────── |
| 1810 | _ = ticker.tick(), if app.is_loading => { |
| 1811 | app.tick(); |
| 1812 | } |
| 1813 | |
| 1814 | // ── inference updates from background task ─────────────────── |
| 1815 | update = async { |
| 1816 | match app.inference_rx.as_mut() { |
| 1817 | Some(rx) => rx.recv().await, |
| 1818 | None => pending().await, |
| 1819 | } |
| 1820 | } => { |
| 1821 | match update { |
| 1822 | Some(InferenceUpdate::ToolUse(name)) => { |
| 1823 | app.messages.push(ChatMessage::system(format!("🔧 {name}"))); |
| 1824 | } |
| 1825 | Some(InferenceUpdate::Delta(delta)) => { |
| 1826 | app.push_stream_delta(&delta); |
| 1827 | } |
| 1828 | Some(InferenceUpdate::StreamEnd) => { |
| 1829 | app.finalize_stream(); |
| 1830 | } |
| 1831 | Some(InferenceUpdate::Response(text)) => { |
| 1832 | app.stop_thinking(); |
| 1833 | app.messages.push(ChatMessage::assistant(text)); |
| 1834 | } |
| 1835 | Some(InferenceUpdate::Error(msg)) => { |
| 1836 | app.finalize_stream(); |
| 1837 | app.stop_thinking(); |
| 1838 | app.messages.push(ChatMessage::system(format!("error: {msg}"))); |
| 1839 | } |
| 1840 | None => { |
| 1841 | // task finished, possibly with no text to show |
| 1842 | app.finalize_stream(); |
| 1843 | app.stop_thinking(); |
| 1844 | } |
| 1845 | } |
| 1846 | } |
| 1847 | |
| 1848 | // ── thinking / switching spinner tick (100ms) ──────────────── |
| 1849 | _ = async { |
| 1850 | if app.thinking || app.switching_model { |
| 1851 | tokio::time::sleep(Duration::from_millis(100)).await |
| 1852 | } else { |
| 1853 | pending().await |
| 1854 | } |
| 1855 | } => { |
| 1856 | app.tick_thinking(); |
| 1857 | // keep the progress display fresh |
| 1858 | if app.switching_model { |
| 1859 | app.poll_download_progress(); |
| 1860 | } |
| 1861 | } |
| 1862 | |
| 1863 | // ── Terminal events ─────────────────────────────────────────── |
| 1864 | maybe_event = event_stream.next() => { |
| 1865 | let Some(Ok(event)) = maybe_event else { |
| 1866 | break; |
| 1867 | }; |
| 1868 | |
| 1869 | if let Event::Key(key) = event { |
| 1870 | // loading phase — only quit keys work |
| 1871 | if app.is_loading { |
| 1872 | if key.kind == KeyEventKind::Press { |
| 1873 | let ctrl = key.modifiers.contains(KeyModifiers::CONTROL); |
| 1874 | if ctrl |
| 1875 | && (key.code == KeyCode::Char('c') |
| 1876 | || key.code == KeyCode::Char('d')) |
| 1877 | { |
| 1878 | app.quit = true; |
| 1879 | } |
| 1880 | } |
| 1881 | continue; |
| 1882 | } |
| 1883 | |
| 1884 | // busy — only cancel keys work |
| 1885 | if app.is_busy() { |
| 1886 | if key.kind == KeyEventKind::Press { |
| 1887 | let ctrl = key.modifiers.contains(KeyModifiers::CONTROL); |
| 1888 | if ctrl && (key.code == KeyCode::Char('c') || key.code == KeyCode::Char('d')) { |
| 1889 | if app.is_streaming() { |
| 1890 | app.finalize_stream(); |
| 1891 | app.messages.push(ChatMessage::system("(cancelled)")); |
| 1892 | } |
| 1893 | if app.thinking { |
| 1894 | // dropping rx kills the background task |
| 1895 | app.stop_thinking(); |
| 1896 | app.messages.push(ChatMessage::system("(cancelled)")); |
| 1897 | } |
| 1898 | if app.switching_model { |
| 1899 | // flag before drop so Disconnected handler stays quiet |
| 1900 | app.model_load_cancelled = true; |
| 1901 | app.switching_model = false; |
| 1902 | app.switching_model_id = None; |
| 1903 | app.download_progress = None; |
| 1904 | app.model_load_rx = None; |
| 1905 | app.messages |
| 1906 | .push(ChatMessage::system("(download cancelled — model switch aborted)")); |
| 1907 | } |
| 1908 | } |
| 1909 | } |
| 1910 | continue; |
| 1911 | } |
| 1912 | |
| 1913 | if let Some(text) = handle_key(&mut app, key) { |
| 1914 | if let Some(cmd) = parse_slash(&text) { |
| 1915 | exec_slash(&mut app, cmd, Arc::clone(&engine), terminal).await; |
| 1916 | continue; |
| 1917 | } |
| 1918 | |
| 1919 | // On-device inference needs a model in memory, and we |
| 1920 | // never load one implicitly: the user loads it with |
| 1921 | // /load (or /models). Refuse rather than erroring out |
| 1922 | // deep in the backend. |
| 1923 | if !app.backend.is_remote() |
| 1924 | && engine.info().await.status == onde::inference::EngineStatus::Unloaded |
| 1925 | { |
| 1926 | app.messages.push(ChatMessage::user(&text)); |
| 1927 | app.messages.push(ChatMessage::system( |
| 1928 | "No on-device model is loaded. Run /load to load the selected \ |
| 1929 | model, or /models to choose one.", |
| 1930 | )); |
| 1931 | continue; |
| 1932 | } |
| 1933 | |
| 1934 | // ── spawn inference ────────────────────────────── |
| 1935 | app.messages.push(ChatMessage::user(&text)); |
| 1936 | app.start_thinking(); |
| 1937 | |
| 1938 | let (tx, rx) = mpsc::channel::<InferenceUpdate>(64); |
| 1939 | app.inference_rx = Some(rx); |
| 1940 | |
| 1941 | let backend_handle = Arc::clone(&app.backend); |
| 1942 | let user_text = text.clone(); |
| 1943 | let tools_enabled = app.tool_calling; |
| 1944 | tokio::spawn(async move { |
| 1945 | run_inference_task(backend_handle, user_text, tx, tools_enabled).await; |
| 1946 | }); |
| 1947 | } |
| 1948 | } |
| 1949 | } |
| 1950 | } |
| 1951 | } |
| 1952 | |
| 1953 | Ok(()) |
| 1954 | } |
| 1955 | |
| 1956 | // ── Download progress helpers (TUI) ────────────────────────────────────── |
| 1957 | |
| 1958 | /// total bytes under `path`, following symlinks (hf-hub uses blobs + symlinks) |
| 1959 | fn dir_size_recursive(path: &std::path::Path) -> u64 { |
| 1960 | let mut total: u64 = 0; |
| 1961 | let Ok(entries) = std::fs::read_dir(path) else { |
| 1962 | return 0; |
| 1963 | }; |
| 1964 | for entry in entries.flatten() { |
| 1965 | let entry_path = entry.path(); |
| 1966 | if entry_path.is_dir() { |
| 1967 | total += dir_size_recursive(&entry_path); |
| 1968 | } else if let Ok(meta) = entry_path.metadata() { |
| 1969 | total += meta.len(); |
| 1970 | } |
| 1971 | } |
| 1972 | total |
| 1973 | } |
| 1974 | |
| 1975 | fn format_size_human(bytes: u64) -> String { |
| 1976 | const GB: u64 = 1_073_741_824; |
| 1977 | const MB: u64 = 1_048_576; |
| 1978 | const KB: u64 = 1_024; |
| 1979 | if bytes >= GB { |
| 1980 | format!("{:.2} GB", bytes as f64 / GB as f64) |
| 1981 | } else if bytes >= MB { |
| 1982 | format!("{:.1} MB", bytes as f64 / MB as f64) |
| 1983 | } else if bytes >= KB { |
| 1984 | format!("{:.0} KB", bytes as f64 / KB as f64) |
| 1985 | } else { |
| 1986 | format!("{bytes} B") |
| 1987 | } |
| 1988 | } |
| 1989 | } // end #[cfg(unix)] mod tui |
| 1990 | |
| 1991 | // re-export so callers write `chat::run_with(...)` on all platforms |
| 1992 | #[cfg(unix)] |
| 1993 | pub use tui::run_with; |
| 1994 | |
| 1995 | // ── Tests (platform-agnostic) ───────────────────────────────────────────────── |
| 1996 | |
| 1997 | #[cfg(test)] |
| 1998 | mod tests { |
| 1999 | use super::{parse_rich_text_segments, strip_think_blocks}; |
| 2000 | |
| 2001 | #[test] |
| 2002 | fn strip_think_blocks_separates_thinking_and_visible_reply() { |
| 2003 | let raw = "<think>I should inspect the code first.</think>Here is the fix."; |
| 2004 | let (thinking, visible) = strip_think_blocks(raw); |
| 2005 | |
| 2006 | assert_eq!(thinking, "I should inspect the code first."); |
| 2007 | assert_eq!(visible, "Here is the fix."); |
| 2008 | } |
| 2009 | |
| 2010 | #[test] |
| 2011 | fn strip_think_blocks_handles_unclosed_think_block() { |
| 2012 | let raw = "<think>I am still reasoning about the bug"; |
| 2013 | let (thinking, visible) = strip_think_blocks(raw); |
| 2014 | |
| 2015 | assert_eq!(thinking, "I am still reasoning about the bug"); |
| 2016 | assert_eq!(visible, ""); |
| 2017 | } |
| 2018 | |
| 2019 | #[test] |
| 2020 | fn strip_think_blocks_leaves_plain_text_untouched() { |
| 2021 | let raw = "No hidden reasoning here."; |
| 2022 | let (thinking, visible) = strip_think_blocks(raw); |
| 2023 | |
| 2024 | assert_eq!(thinking, ""); |
| 2025 | assert_eq!(visible, "No hidden reasoning here."); |
| 2026 | } |
| 2027 | |
| 2028 | #[test] |
| 2029 | fn parse_rich_text_segments_marks_bold_runs() { |
| 2030 | let segments = parse_rich_text_segments( |
| 2031 | "The current weather is **72°F** with **Partly Cloudy** conditions.", |
| 2032 | ); |
| 2033 | |
| 2034 | assert_eq!( |
| 2035 | segments, |
| 2036 | vec![ |
| 2037 | ("The current weather is ".to_string(), false), |
| 2038 | ("72°F".to_string(), true), |
| 2039 | (" with ".to_string(), false), |
| 2040 | ("Partly Cloudy".to_string(), true), |
| 2041 | (" conditions.".to_string(), false), |
| 2042 | ] |
| 2043 | ); |
| 2044 | } |
| 2045 | |
| 2046 | #[test] |
| 2047 | fn parse_rich_text_segments_treats_unclosed_marker_as_bold_to_end() { |
| 2048 | let segments = parse_rich_text_segments("Prefix **bold"); |
| 2049 | |
| 2050 | assert_eq!( |
| 2051 | segments, |
| 2052 | vec![("Prefix ".to_string(), false), ("bold".to_string(), true),] |
| 2053 | ); |
| 2054 | } |
| 2055 | } |