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//! Full-screen terminal chat UI for siGit Code.
//!
//! Takes over the alternate screen and multiplexes terminal events with
//! streaming LLM tokens via `tokio::select!`.
//!
//! The UI has two phases:
//!
//! 1. **Loading phase** — a centered spinner is shown while the model loads
//! in the background. The oneshot channel from the caller signals
//! completion or failure.
//! 2. **Chat phase** — normal interactive chat once `load_rx` resolves.
// ── Think-block stripping ─────────────────────────────────────────────────────
/// Strip `<think>…</think>` blocks from a model response.
///
/// Qwen 3 models emit `<think>…</think>` before the real answer. This
/// function separates the thinking content from the visible reply so the
/// UI can render them differently (dimmed / collapsed).
///
/// Returns `(thinking_text, visible_reply)`. Either may be empty.
pub(crate) fn strip_think_blocks(raw: &str) -> (String, String) {
let mut thinking = String::new();
let mut remainder = raw;
while let Some(start) = remainder.find("<think>") {
// Text before <think> is visible.
let before = &remainder[..start];
if let Some(end) = remainder[start..].find("</think>") {
let block = &remainder[start + 7..start + end];
thinking.push_str(block.trim());
remainder = &remainder[start + end + 8..];
// Prepend any text before <think> to the leftover.
if !before.trim().is_empty() {
// Unusual — text before <think>. Keep it visible.
let mut combined = before.to_string();
combined.push_str(remainder);
return (thinking, combined.trim().to_string());
}
} else {
// Unclosed <think> — treat rest as thinking (model ran out of tokens).
thinking.push_str(remainder[start + 7..].trim());
remainder = before;
break;
}
}
(thinking, remainder.trim().to_string())
}
// ── Unix-only TUI ─────────────────────────────────────────────────────────────
//
// Everything below this point is compiled only on Unix (macOS + Linux).
// Windows supports ACP mode only; the interactive TUI is not available there.
#[cfg(unix)]
mod tui {
use std::future::pending;
use std::sync::Arc;
use std::sync::mpsc as std_mpsc;
use anyhow::Result;
use crossterm::event::{Event, EventStream, KeyCode, KeyEvent, KeyEventKind, KeyModifiers};
use futures::StreamExt;
use onde::inference::{ChatEngine, SamplingConfig, StreamChunk, ToolDefinition, ToolResult};
use crate::models::{ModelCacheHealth, ModelPickerItem, ModelSource, build_model_picker_items};
use ratatui::{
Frame,
layout::{Constraint, Layout, Position},
style::{Color, Modifier, Style},
text::{Line, Span},
widgets::{Block, Borders, Clear, Paragraph, Wrap},
};
use tokio::sync::mpsc;
use tokio::time::{Duration, Instant, interval};
// ── Message types ─────────────────────────────────────────────────────────
#[derive(Clone, Copy, PartialEq, Eq)]
enum Role {
User,
Assistant,
System,
/// Banner art — each character gets its own color.
Banner,
}
struct ChatMessage {
role: Role,
text: String,
/// Extracted `<think>…</think>` content, if any (Qwen 3 reasoning).
think_block: Option<String>,
}
impl ChatMessage {
fn user(text: impl Into<String>) -> Self {
Self {
role: Role::User,
text: text.into(),
think_block: None,
}
}
fn assistant(text: impl Into<String>) -> Self {
let raw = text.into();
let (think, visible) = super::strip_think_blocks(&raw);
Self {
role: Role::Assistant,
text: visible,
think_block: if think.is_empty() { None } else { Some(think) },
}
}
fn system(text: impl Into<String>) -> Self {
Self {
role: Role::System,
text: text.into(),
think_block: None,
}
}
fn banner(text: impl Into<String>) -> Self {
Self {
role: Role::Banner,
text: text.into(),
think_block: None,
}
}
}
// ── Inference updates from background task ────────────────────────────────
/// Messages sent from the spawned inference task back to the event loop.
enum InferenceUpdate {
/// The model is calling a tool — show its name in the chat.
ToolUse(String),
/// The model produced a final text response.
Response(String),
/// Something went wrong during inference.
Error(String),
}
enum ModelLoadUpdate {
Loaded(String),
Error(String),
}
// ── App state ─────────────────────────────────────────────────────────────
struct App {
messages: Vec<ChatMessage>,
input: String,
cursor: usize,
scroll_offset: u16,
stream_rx: Option<mpsc::Receiver<StreamChunk>>,
stream_buf: String,
/// Channel for receiving results from the background inference task.
inference_rx: Option<mpsc::Receiver<InferenceUpdate>>,
/// Channel for receiving results from a model switch.
model_load_rx: Option<mpsc::Receiver<ModelLoadUpdate>>,
/// True while waiting for inference to finish.
thinking: bool,
/// Counter driving the thinking spinner animation.
thinking_tick: u8,
quit: bool,
/// Flips every few ticks while streaming to make the cursor blink.
blink_on: bool,
blink_counter: u8,
/// True while a model switch is in progress.
switching_model: bool,
/// Tool-calling flag for the model currently being loaded in the background.
/// Applied to `app.tool_calling` when `ModelLoadUpdate::Loaded` arrives.
pending_tool_calling: Option<bool>,
/// Set to true when the user cancels a model switch with Ctrl+C.
/// Suppresses the "loader task disconnected" error message that would
/// otherwise appear when we drop model_load_rx to abort the switch.
model_load_cancelled: bool,
// ── Loading-phase state ───────────────────────────────────────────────
/// True while the model is still loading; switches to false on completion.
is_loading: bool,
/// Monotonic counter incremented on every animation tick. Drives the
/// braille spinner shown during loading.
load_tick: u32,
/// Set when model loading fails; keeps the loading view up with the error.
load_error: Option<String>,
/// When loading started — drives the elapsed-time counter.
load_start: Instant,
/// Display name of the model being loaded (shown in the spinner line).
load_model_name: String,
// ── Model picker state ────────────────────────────────────────────────
show_model_picker: bool,
model_picker_index: usize,
model_picker_items: Vec<ModelPickerItem>,
current_model_name: String,
/// Whether the currently loaded model supports tool calling.
tool_calling: bool,
// ── Model-switch download progress ────────────────────────────────────
/// The model_id of the model currently being downloaded/switched to.
/// `None` when no switch is in progress.
switching_model_id: Option<String>,
/// Bytes on disk / expected bytes for the in-progress download.
/// Updated every 100 ms tick while `switching_model` is true and the
/// selected model was not yet cached.
download_progress: Option<(u64, u64)>,
}
const BANNER_ART: &str = "\
77777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777
77777777322222222222222222222222222222223777389969902208431358831999699051111177777777777777
1111111125555555555555555555555511113222311159 5002 088 3081771691111111111111
1111111111111111111111111111131136841 1482853332007 05 9043332891 400811111111111
1111111111111111111111111111111201 109 304 40 00 79 100041111111111
333333255555555555555555555552392 102 503 90 7000000005 903 0000023333333333
333333245454545454545454545433381 7600000 302 61 780 109 20009533333333333
3333333333333333333333333333333402 7001 08 761 202 902 90003333333333333
2222255555555555555555555555250899901 49 304 403 08 108 300042222222222222
2222222222222222222222222222269 106 03 901 06 505 402 000052222222222222
2222255555555555555555555555299 708 1002 80 00 90852222222222222
55555555555555555555555555555560953258000866660000051140866908666600008966900065555555555555
88888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888";
/// Spinner frames for the "thinking" animation.
const THINKING_FRAMES: &[&str] = &["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"];
impl App {
fn new(load_model_name: String) -> Self {
let items = build_model_picker_items();
let tool_calling = items
.iter()
.find(|m| m.display_name == load_model_name)
.map(|m| m.tool_calling)
.unwrap_or(true);
Self {
messages: Vec::new(),
input: String::new(),
cursor: 0,
scroll_offset: 0,
stream_rx: None,
stream_buf: String::new(),
inference_rx: None,
model_load_rx: None,
thinking: false,
thinking_tick: 0,
quit: false,
blink_on: true,
blink_counter: 0,
switching_model: false,
pending_tool_calling: None,
model_load_cancelled: false,
switching_model_id: None,
download_progress: None,
is_loading: true,
load_tick: 0,
load_error: None,
load_start: Instant::now(),
load_model_name: load_model_name.clone(),
show_model_picker: false,
model_picker_index: 0,
model_picker_items: items,
current_model_name: crate::setup::load_selected_model_name()
.unwrap_or_else(|| load_model_name.clone()),
tool_calling,
}
}
/// True when either streaming tokens or waiting for inference.
fn is_busy(&self) -> bool {
self.is_streaming() || self.thinking || self.switching_model
}
fn switching_frame(&self) -> &'static str {
let idx = (self.thinking_tick as usize) % THINKING_FRAMES.len();
THINKING_FRAMES[idx]
}
fn is_streaming(&self) -> bool {
self.stream_rx.is_some()
}
fn finalize_stream(&mut self) {
self.stream_rx = None;
if !self.stream_buf.is_empty() {
let text = std::mem::take(&mut self.stream_buf);
self.messages.push(ChatMessage::assistant(text));
}
self.blink_on = false;
}
fn push_stream_delta(&mut self, delta: &str) {
self.stream_buf.push_str(delta);
self.blink_counter = self.blink_counter.wrapping_add(1);
self.blink_on = self.blink_counter % 4 < 2;
}
fn start_thinking(&mut self) {
self.thinking = true;
self.thinking_tick = 0;
}
fn stop_thinking(&mut self) {
self.thinking = false;
self.inference_rx = None;
}
fn tick_thinking(&mut self) {
self.thinking_tick = self.thinking_tick.wrapping_add(1);
}
fn thinking_frame(&self) -> &'static str {
let idx = (self.thinking_tick as usize) % THINKING_FRAMES.len();
THINKING_FRAMES[idx]
}
/// Advance the spinner tick counter.
fn tick(&mut self) {
self.load_tick = self.load_tick.wrapping_add(1);
}
/// Poll the HF cache directory for the model being switched to and update
/// `download_progress`. Called on every 100 ms tick while switching.
fn poll_download_progress(&mut self) {
let Some(ref model_id) = self.switching_model_id else {
return;
};
let cache_path = onde::hf_cache::model_cache_path(model_id);
let downloaded = cache_path
.as_ref()
.filter(|p| p.exists())
.map(|p| dir_size_recursive(p))
.unwrap_or(0);
let expected = onde::inference::models::SUPPORTED_MODEL_INFO
.iter()
.find(|m| m.id == model_id.as_str())
.map(|m| m.expected_size_bytes)
.unwrap_or(0);
self.download_progress = Some((downloaded, expected));
}
/// Transition from loading phase to normal chat.
/// Adds the banner art and welcome messages to the message log.
fn finish_loading(&mut self) {
self.is_loading = false;
for line in BANNER_ART.lines() {
self.messages.push(ChatMessage::banner(line));
}
self.messages.push(ChatMessage::system(""));
self.messages.push(ChatMessage::system(
"In this world, nothing can be said to be certain, except death and taxes. ~ Pak Sigit",
));
self.messages.push(ChatMessage::system(format!(
"Current model: {}",
self.current_model_name
)));
self.messages
.push(ChatMessage::system("Type /help for commands."));
}
/// Record a loading error. The loading view stays visible so the user can
/// read the message before pressing Ctrl+C.
fn set_load_error(&mut self, error: String) {
self.load_error = Some(error);
// is_loading stays true so render_loading() keeps rendering.
}
fn open_model_picker(&mut self, engine: &ChatEngine) {
let current = crate::setup::load_selected_model();
let current_name = crate::setup::load_selected_model_name().unwrap_or_else(|| {
futures::executor::block_on(engine.info())
.model_name
.unwrap_or_else(|| self.current_model_name.clone())
});
self.model_picker_items = build_model_picker_items();
self.model_picker_index = current
.as_ref()
.and_then(|selected| {
self.model_picker_items.iter().position(|item| {
item.config.model_id == selected.model_id
&& item
.config
.files
.iter()
.any(|file| file == &selected.gguf_file)
})
})
.or_else(|| {
self.model_picker_items
.iter()
.position(|item| item.display_name == current_name)
})
.unwrap_or(0);
self.show_model_picker = true;
}
fn close_model_picker(&mut self) {
self.show_model_picker = false;
}
fn move_model_picker_up(&mut self) {
if self.model_picker_items.is_empty() {
return;
}
if self.model_picker_index == 0 {
self.model_picker_index = self.model_picker_items.len().saturating_sub(1);
} else {
self.model_picker_index -= 1;
}
}
fn move_model_picker_down(&mut self) {
if self.model_picker_items.is_empty() {
return;
}
self.model_picker_index = (self.model_picker_index + 1) % self.model_picker_items.len();
}
/// Total lines the messages area would need (rough estimate for scrolling).
fn total_message_lines(&self, width: u16) -> u16 {
if width == 0 {
return 0;
}
let w = width.saturating_sub(2) as usize; // subtract border columns
let mut lines: u16 = 0;
for msg in &self.messages {
lines += wrapped_line_count(&msg.text, msg.role, w);
}
// count any in-progress streaming text too
if !self.stream_buf.is_empty() {
lines += wrapped_line_count(&self.stream_buf, Role::Assistant, w);
}
// thinking / switching indicator
if self.thinking || self.switching_model {
lines += 1;
}
lines
}
fn auto_scroll(&mut self, visible_height: u16, width: u16) {
let total = self.total_message_lines(width);
if total > visible_height {
self.scroll_offset = total - visible_height;
} else {
self.scroll_offset = 0;
}
}
}
/// How many terminal rows a message takes up after line-wrapping.
fn wrapped_line_count(text: &str, role: Role, width: usize) -> u16 {
let prefix_len = match role {
Role::User => 6, // "you > "
Role::Assistant => 8, // "siGit > "
Role::System | Role::Banner => 0,
};
let effective = if width > prefix_len {
width - prefix_len
} else {
1
};
let mut count: u16 = 0;
for line in text.split('\n') {
if line.is_empty() {
count += 1;
} else {
count += ((line.len() as f64) / (effective as f64)).ceil() as u16;
}
}
count.max(1)
}
// ── Model table ──────────────────────────────────────────────────────────
//
// ModelSource, ModelPickerItem, and build_model_picker_items live in
// crate::models so they are available on all platforms (including Windows),
// not just unix where this chat module is compiled.
fn render_model_picker(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) {
let popup = centered_rect(82, 72, area);
// Erase whatever is behind the popup so the panel is fully readable.
frame.render_widget(Clear, popup);
let block = Block::default()
.title(" Select a model… ")
.borders(Borders::ALL)
.border_style(Style::default().fg(Color::DarkGray))
.style(Style::default().bg(Color::Black));
let inner = block.inner(popup);
frame.render_widget(block, popup);
let mut lines = Vec::new();
let mut last_section: Option<ModelSource> = None;
for (index, item) in app.model_picker_items.iter().enumerate() {
if last_section != Some(item.source) {
if last_section.is_some() {
lines.push(Line::from("").style(Style::default().bg(Color::Black)));
}
let (section_mark, section_name, section_style) = match item.source {
ModelSource::Onde => (
"◉",
"Onde Inference",
Style::default()
.fg(Color::Green)
.bg(Color::Black)
.add_modifier(Modifier::BOLD),
),
ModelSource::HuggingFace => (
"○",
"Hugging Face cache",
Style::default()
.fg(Color::Cyan)
.bg(Color::Black)
.add_modifier(Modifier::BOLD),
),
ModelSource::Available => (
"↓",
"Available for download",
Style::default()
.fg(Color::Blue)
.bg(Color::Black)
.add_modifier(Modifier::BOLD),
),
ModelSource::Fallback => (
"◎",
"Fallback",
Style::default()
.fg(Color::Yellow)
.bg(Color::Black)
.add_modifier(Modifier::BOLD),
),
};
lines.push(
Line::from(vec![
Span::styled(format!("{section_mark} "), section_style),
Span::styled(section_name, section_style),
])
.style(Style::default().bg(Color::Black)),
);
last_section = Some(item.source);
}
let selected = index == app.model_picker_index;
let current = item.display_name == app.current_model_name;
let marker = if selected { "› " } else { " " };
let tool_badge = if item.tool_calling {
" ✓ tool calling"
} else {
""
};
let health_badge = match item.cache_health {
ModelCacheHealth::Complete => "",
ModelCacheHealth::Incomplete => " ! incomplete cache",
ModelCacheHealth::NotDownloaded => " ↓ download",
};
let current_badge = if current { " ← current" } else { "" };
let disabled_badge = match item.cache_health {
ModelCacheHealth::Complete | ModelCacheHealth::NotDownloaded => "",
ModelCacheHealth::Incomplete => " (unselectable)",
};
let brand_mark = match item.source {
ModelSource::Onde => "◉",
ModelSource::HuggingFace => "○",
ModelSource::Available => "↓",
ModelSource::Fallback => "◎",
};
let source = format!(" [{} {}]", brand_mark, item.source_label);
let base_style = if selected {
Style::default().fg(Color::Black).bg(Color::Green)
} else {
Style::default().fg(Color::White).bg(Color::Black)
};
let source_style = if selected {
Style::default().fg(Color::Black).bg(Color::Green)
} else {
match item.source {
ModelSource::Onde => Style::default().fg(Color::Green).bg(Color::Black),
ModelSource::HuggingFace => Style::default().fg(Color::Cyan).bg(Color::Black),
ModelSource::Available => Style::default().fg(Color::Blue).bg(Color::Black),
ModelSource::Fallback => Style::default().fg(Color::Yellow).bg(Color::Black),
}
};
let health_style = if selected {
Style::default().fg(Color::Red).bg(Color::Green)
} else {
Style::default().fg(Color::Red).bg(Color::Black)
};
lines.push(Line::from(vec![
Span::styled(
format!("{marker}{} {}", item.display_name, item.description),
base_style,
),
Span::styled(
tool_badge.to_string(),
if selected {
Style::default().fg(Color::Black).bg(Color::Green)
} else {
Style::default().fg(Color::Green).bg(Color::Black)
},
),
Span::styled(health_badge.to_string(), health_style),
Span::styled(
disabled_badge.to_string(),
if selected {
Style::default().fg(Color::Black).bg(Color::Green)
} else {
Style::default().fg(Color::DarkGray).bg(Color::Black)
},
),
Span::styled(
current_badge.to_string(),
if selected {
Style::default().fg(Color::Black).bg(Color::Green)
} else {
Style::default().fg(Color::Cyan).bg(Color::Black)
},
),
Span::styled(source, source_style),
]));
}
frame.render_widget(
Paragraph::new(lines)
.wrap(Wrap { trim: false })
.style(Style::default().bg(Color::Black)),
inner,
);
}
fn centered_rect(
percent_x: u16,
percent_y: u16,
area: ratatui::layout::Rect,
) -> ratatui::layout::Rect {
let vertical = Layout::vertical([
Constraint::Percentage((100 - percent_y) / 2),
Constraint::Percentage(percent_y),
Constraint::Percentage((100 - percent_y) / 2),
])
.split(area);
Layout::horizontal([
Constraint::Percentage((100 - percent_x) / 2),
Constraint::Percentage(percent_x),
Constraint::Percentage((100 - percent_x) / 2),
])
.split(vertical[1])[1]
}
// ── Slash commands ────────────────────────────────────────────────────────
enum SlashCommand {
Help,
Clear,
Status,
/// `/models` opens the model picker. `/models N` still works as a shortcut.
Models(Option<usize>),
Exit,
Unknown(String),
}
fn parse_slash(input: &str) -> Option<SlashCommand> {
let trimmed = input.trim();
if !trimmed.starts_with('/') {
return None;
}
let mut parts = trimmed.splitn(2, char::is_whitespace);
let cmd = parts.next().unwrap_or("");
let arg = parts.next().map(|s| s.trim());
Some(match cmd {
"/help" => SlashCommand::Help,
"/clear" => SlashCommand::Clear,
"/status" => SlashCommand::Status,
"/models" => SlashCommand::Models(arg.and_then(|s| s.parse::<usize>().ok())),
"/exit" | "/quit" | "/q" => SlashCommand::Exit,
other => SlashCommand::Unknown(other.to_string()),
})
}
// ── Rendering ─────────────────────────────────────────────────────────────
fn render(frame: &mut Frame, app: &mut App) {
let area = frame.area();
if app.is_loading {
// Loading phase: title bar with spinner | loading info | footer hint.
let zones = Layout::vertical([
Constraint::Length(1),
Constraint::Min(1),
Constraint::Length(1),
])
.split(area);
render_loading_title(frame, app, zones[0]);
render_loading(frame, app, zones[1]);
render_loading_footer(frame, zones[2]);
return;
}
// Normal chat phase: title | messages | input | footer.
let zones = Layout::vertical([
Constraint::Length(1),
Constraint::Min(1),
Constraint::Length(3),
Constraint::Length(1),
])
.split(area);
render_title(frame, app, zones[0]);
render_messages(frame, app, zones[1]);
render_input(frame, app, zones[2]);
render_footer(frame, app, zones[3]);
if app.show_model_picker {
render_model_picker(frame, app, area);
}
}
fn render_title(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) {
let model_label = format!(" siGit — {} ", app.current_model_name);
let tool_label = if app.tool_calling {
" [tools on] "
} else {
" [tools off] "
};
let line = Line::from(vec![
Span::styled(
model_label,
Style::default()
.fg(Color::Black)
.bg(Color::Green)
.add_modifier(Modifier::BOLD),
),
Span::styled(
tool_label,
Style::default().fg(Color::Black).bg(Color::DarkGray),
),
]);
frame.render_widget(Paragraph::new(line), area);
}
fn render_loading_title(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) {
const SPINNER: &[&str] = &["⣾", "⣽", "⣻", "⢿", "⡿", "⣟", "⣯", "⣷"];
let spin = SPINNER[(app.load_tick as usize) % SPINNER.len()];
let label = format!(" siGit {} loading {}… ", spin, app.load_model_name);
let line = Line::from(Span::styled(
label,
Style::default()
.fg(Color::Black)
.bg(Color::Green)
.add_modifier(Modifier::BOLD),
));
frame.render_widget(Paragraph::new(line), area);
}
fn render_loading(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) {
let elapsed = app.load_start.elapsed().as_secs();
let elapsed_str = if elapsed < 60 {
format!("{}s", elapsed)
} else {
format!("{}m {}s", elapsed / 60, elapsed % 60)
};
let content = if let Some(ref err) = app.load_error {
format!(
"\n\n ✗ Failed to load model after {}.\n\n {}\n\n Press Ctrl+C to exit.",
elapsed_str, err
)
} else {
format!(
"\n\n Loading model, please wait… ({})\n\n The model is being initialised. This may take a moment on first run.",
elapsed_str
)
};
let style = if app.load_error.is_some() {
Style::default().fg(Color::Red)
} else {
Style::default().fg(Color::White)
};
frame.render_widget(
Paragraph::new(content)
.style(style)
.wrap(Wrap { trim: false }),
area,
);
}
fn render_loading_footer(frame: &mut Frame, area: ratatui::layout::Rect) {
let line = Line::from(vec![
Span::styled(" Ctrl+C ", Style::default().fg(Color::Black).bg(Color::Red)),
Span::styled(" quit", Style::default().fg(Color::DarkGray)),
]);
frame.render_widget(Paragraph::new(line), area);
}
fn render_messages(frame: &mut Frame, app: &mut App, area: ratatui::layout::Rect) {
let inner_width = area.width.saturating_sub(2);
let inner_height = area.height.saturating_sub(2);
app.auto_scroll(inner_height, area.width);
let block = Block::default()
.borders(Borders::ALL)
.border_style(Style::default().fg(Color::DarkGray));
let inner = block.inner(area);
frame.render_widget(block, area);
let mut lines: Vec<Line> = Vec::new();
for msg in &app.messages {
render_chat_message(&mut lines, msg, inner_width as usize);
}
// In-progress streaming token buffer.
if !app.stream_buf.is_empty() {
let fake = ChatMessage {
role: Role::Assistant,
text: app.stream_buf.clone(),
think_block: None,
};
render_chat_message(&mut lines, &fake, inner_width as usize);
// blinking cursor at end
if app.blink_on
&& let Some(last) = lines.last_mut()
{
last.spans
.push(Span::styled("▋", Style::default().fg(Color::Green)));
}
}
// Thinking / switching spinner.
if app.thinking {
lines.push(Line::from(Span::styled(
format!(" {} thinking…", app.thinking_frame()),
Style::default().fg(Color::DarkGray),
)));
} else if app.switching_model {
let frame_str = app.switching_frame();
let progress_str = if let Some((downloaded, expected)) = app.download_progress {
if expected > 0 {
let pct = (downloaded as f64 / expected as f64 * 100.0).min(100.0) as u8;
let dl_str = format_size_human(downloaded);
let ex_str = format_size_human(expected);
format!(" — {dl_str} / {ex_str} ({pct}%)")
} else if downloaded > 0 {
format!(" — {} downloaded", format_size_human(downloaded))
} else {
String::new()
}
} else {
String::new()
};
lines.push(Line::from(Span::styled(
format!(" {frame_str} switching model{progress_str}…"),
Style::default().fg(Color::DarkGray),
)));
}
let total_lines = lines.len() as u16;
let scroll = if total_lines > inner_height {
app.scroll_offset.min(total_lines - inner_height)
} else {
0
};
frame.render_widget(
Paragraph::new(lines)
.scroll((scroll, 0))
.wrap(Wrap { trim: false }),
inner,
);
}
fn render_chat_message(lines: &mut Vec<Line<'static>>, msg: &ChatMessage, _width: usize) {
match msg.role {
Role::Banner => {
// Each character in banner art gets its own rainbow colour.
let palette = [
Color::Red,
Color::Yellow,
Color::Green,
Color::Cyan,
Color::Blue,
Color::Magenta,
];
let mut spans = Vec::new();
for (i, ch) in msg.text.chars().enumerate() {
let color = palette[i % palette.len()];
spans.push(Span::styled(ch.to_string(), Style::default().fg(color)));
}
lines.push(Line::from(spans));
}
Role::System => {
for text_line in msg.text.split('\n') {
lines.push(Line::from(Span::styled(
text_line.to_string(),
Style::default().fg(Color::DarkGray),
)));
}
}
Role::User => {
let prefix = Span::styled(
"you > ".to_string(),
Style::default()
.fg(Color::Green)
.add_modifier(Modifier::BOLD),
);
let mut first = true;
for text_line in msg.text.split('\n') {
if first {
lines.push(Line::from(vec![
prefix.clone(),
Span::raw(text_line.to_string()),
]));
first = false;
} else {
lines.push(Line::from(Span::raw(format!(" {text_line}"))));
}
}
}
Role::Assistant => {
// If there is a think block, render it first, dimmed.
if let Some(ref think) = msg.think_block {
lines.push(Line::from(Span::styled(
" ┌ thinking ".to_string(),
Style::default().fg(Color::DarkGray),
)));
for think_line in think.split('\n') {
lines.push(Line::from(Span::styled(
format!(" │ {think_line}"),
Style::default().fg(Color::DarkGray),
)));
}
lines.push(Line::from(Span::styled(
" └─────────".to_string(),
Style::default().fg(Color::DarkGray),
)));
}
let prefix = Span::styled(
"siGit > ".to_string(),
Style::default()
.fg(Color::Cyan)
.add_modifier(Modifier::BOLD),
);
let mut first = true;
for text_line in msg.text.split('\n') {
if first {
lines.push(Line::from(vec![
prefix.clone(),
Span::raw(text_line.to_string()),
]));
first = false;
} else {
lines.push(Line::from(Span::raw(format!(" {text_line}"))));
}
}
}
}
}
fn render_input(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) {
let block = Block::default()
.borders(Borders::ALL)
.border_style(Style::default().fg(Color::DarkGray))
.title(" message ");
let inner = block.inner(area);
frame.render_widget(block, area);
let display = app.input.clone();
frame.render_widget(
Paragraph::new(display.clone()).wrap(Wrap { trim: false }),
inner,
);
// Position the real terminal cursor inside the input box.
let col = (app.cursor as u16) % inner.width;
let row = (app.cursor as u16) / inner.width;
frame.set_cursor_position(Position {
x: inner.x + col,
y: inner.y + row,
});
}
fn render_footer(frame: &mut Frame, app: &App, area: ratatui::layout::Rect) {
let mut spans = vec![
Span::styled(
" Enter ",
Style::default().fg(Color::Black).bg(Color::Green),
),
Span::styled(" send ", Style::default().fg(Color::DarkGray)),
Span::styled(
" /help ",
Style::default().fg(Color::Black).bg(Color::DarkGray),
),
Span::styled(" commands ", Style::default().fg(Color::DarkGray)),
Span::styled(" Ctrl+C ", Style::default().fg(Color::Black).bg(Color::Red)),
Span::styled(" quit", Style::default().fg(Color::DarkGray)),
];
if app.thinking || app.switching_model || app.is_streaming() {
spans.push(Span::styled(
" (busy — Ctrl+C to cancel)",
Style::default().fg(Color::Yellow),
));
}
frame.render_widget(Paragraph::new(Line::from(spans)), area);
}
fn handle_key(app: &mut App, key: KeyEvent) -> Option<String> {
if key.kind != KeyEventKind::Press {
return None;
}
if app.show_model_picker {
match key.code {
KeyCode::Esc => {
app.close_model_picker();
return None;
}
KeyCode::Up => {
app.move_model_picker_up();
return None;
}
KeyCode::Down => {
app.move_model_picker_down();
return None;
}
KeyCode::Enter => {
return Some(format!("/models {}", app.model_picker_index + 1));
}
_ => return None,
}
}
match key.code {
KeyCode::Char('c') if key.modifiers.contains(KeyModifiers::CONTROL) => {
app.quit = true;
None
}
KeyCode::Char('d') if key.modifiers.contains(KeyModifiers::CONTROL) => {
app.quit = true;
None
}
KeyCode::Enter => {
if app.input.trim().is_empty() {
return None;
}
let text = app.input.drain(..).collect::<String>();
app.cursor = 0;
Some(text)
}
KeyCode::Backspace => {
if app.cursor > 0 {
app.cursor -= 1;
app.input.remove(app.cursor);
}
None
}
KeyCode::Delete => {
if app.cursor < app.input.len() {
app.input.remove(app.cursor);
}
None
}
KeyCode::Left => {
app.cursor = app.cursor.saturating_sub(1);
None
}
KeyCode::Right => {
if app.cursor < app.input.len() {
app.cursor += 1;
}
None
}
KeyCode::Home => {
app.cursor = 0;
None
}
KeyCode::End => {
app.cursor = app.input.len();
None
}
KeyCode::Char(ch) => {
app.input.insert(app.cursor, ch);
app.cursor += 1;
None
}
_ => None,
}
}
// ── Slash command execution ───────────────────────────────────────────────
async fn exec_slash<B: ratatui::backend::Backend>(
app: &mut App,
cmd: SlashCommand,
engine: Arc<ChatEngine>,
terminal: &mut ratatui::Terminal<B>,
) {
match cmd {
SlashCommand::Help => {
app.messages.push(ChatMessage::system(
"/help — show this message\n\
/models — open the model picker\n\
/models N — switch to model N\n\
/clear — wipe conversation history\n\
/status — show engine status\n\
/exit — quit chat",
));
}
SlashCommand::Clear => {
let cleared = engine.clear_history().await;
app.messages.clear();
app.scroll_offset = 0;
app.messages.push(ChatMessage::system(format!(
"Cleared {cleared} turn(s). History is empty.",
)));
}
SlashCommand::Status => {
let info = engine.as_ref().info().await;
let model = info.model_name.as_deref().unwrap_or("(none)");
let mem = info.approx_memory.as_deref().unwrap_or("unknown");
app.messages.push(ChatMessage::system(format!(
"status: {:?} model: {} memory: {} history: {} turns",
info.status, model, mem, info.history_length,
)));
}
SlashCommand::Models(selection) => match selection {
None => {
app.open_model_picker(&engine);
}
Some(n) => {
let idx = n.saturating_sub(1);
match app.model_picker_items.get(idx).cloned() {
None => {
app.messages.push(ChatMessage::system(format!(
"error: no model #{n} — type /models to see the list."
)));
}
Some(model) => {
if model.cache_health == ModelCacheHealth::Incomplete {
app.close_model_picker();
app.messages.push(ChatMessage::system(format!(
"error: {} has an incomplete local cache and cannot be selected yet.",
model.display_name
)));
return;
}
let loading_msg = if model.cache_health
== ModelCacheHealth::NotDownloaded
{
format!(
"Downloading and loading {} ({})… this may take a few minutes.",
model.display_name, model.description
)
} else {
format!("Loading {}…", model.display_name)
};
app.close_model_picker();
app.messages.push(ChatMessage::system(loading_msg));
terminal.draw(|frame| render(frame, app)).ok();
let (tx, rx) = mpsc::channel(1);
app.model_load_rx = Some(rx);
app.switching_model = true;
app.switching_model_id = Some(model.config.model_id.clone());
// Only show download progress for models not yet cached.
app.download_progress =
if model.cache_health == ModelCacheHealth::NotDownloaded {
Some((0, 0))
} else {
None
};
let sampling = SamplingConfig {
max_tokens: Some(model.max_tokens),
..SamplingConfig::default()
};
// Use a dedicated OS thread with its own tokio Runtime
// so that load_gguf_model's internal block_in_place
// cannot steal the main runtime's worker threads and
// freeze the TUI draw loop. This mirrors the pattern
// used at startup in run_interactive / run_acp_server.
let system_prompt = crate::system_prompt_for_model(model.tool_calling);
let engine_handle = Arc::clone(&engine);
let tool_calling = model.tool_calling;
std::thread::spawn(move || {
let rt = tokio::runtime::Runtime::new()
.expect("failed to create model-loader runtime");
let update = rt.block_on(async move {
match engine_handle
.load_gguf_model(
model.config.clone(),
Some(system_prompt.to_string()),
Some(sampling),
)
.await
{
Ok(_) => {
ModelLoadUpdate::Loaded(model.display_name.clone())
}
Err(err) => ModelLoadUpdate::Error(err.to_string()),
}
});
// blocking_send is fine here — the channel has
// capacity 1 and the receiver is always alive while
// switching_model is true.
let _ = tx.blocking_send(update);
});
// tool_calling is applied when ModelLoadUpdate::Loaded
// arrives in the event loop (see model_load_rx handler).
app.pending_tool_calling = Some(tool_calling);
}
}
}
},
SlashCommand::Exit => {
app.quit = true;
}
SlashCommand::Unknown(cmd) => {
app.messages
.push(ChatMessage::system(format!("unknown command: {cmd}")));
}
}
}
// ── Background inference task ─────────────────────────────────────────────
/// Maximum number of tool-calling rounds before forcing a text response.
const MAX_TOOL_ROUNDS: usize = 10;
/// Build onde `ToolDefinition`s from our agent tools.
fn build_onde_tools() -> Vec<ToolDefinition> {
crate::tools::all_tools()
.into_iter()
.map(|t| ToolDefinition {
name: t.name.to_string(),
description: t.description.to_string(),
parameters_schema: t.parameters_schema.to_string(),
})
.collect()
}
/// Runs the agentic tool-calling loop on a background task and sends
/// progress updates back through `tx`.
///
/// The sender is dropped when the task finishes, which the event loop
/// detects as `None` from `rx.recv()`.
async fn run_inference_task(
engine: Arc<ChatEngine>,
text: String,
tx: mpsc::Sender<InferenceUpdate>,
tools_enabled: bool,
) {
let onde_tools = if tools_enabled {
build_onde_tools()
} else {
vec![]
};
let mut result = match engine.send_message_with_tools(&text, &onde_tools).await {
Ok(r) => r,
Err(err) => {
let _ = tx.send(InferenceUpdate::Error(err.to_string())).await;
return;
}
};
let mut round = 0;
while !result.tool_calls.is_empty() && round < MAX_TOOL_ROUNDS {
round += 1;
log::info!("tool round {} — {} call(s)", round, result.tool_calls.len());
let mut tool_results = Vec::new();
for tc in &result.tool_calls {
log::info!(
" → {}({})",
tc.function_name,
tc.arguments.chars().take(120).collect::<String>()
);
// Notify the UI about the tool call.
let _ = tx
.send(InferenceUpdate::ToolUse(tc.function_name.clone()))
.await;
// Execute the tool.
let output = crate::tools::execute_tool(&tc.function_name, &tc.arguments).await;
log::info!(" ← {} chars", output.len());
tool_results.push(ToolResult {
tool_call_id: tc.id.clone(),
content: output,
});
}
// Allow further tool calls unless we've hit the limit.
let next_tools = if round < MAX_TOOL_ROUNDS {
Some(onde_tools.as_slice())
} else {
None // force a text response on the last round
};
match engine.send_tool_results(tool_results, next_tools).await {
Ok(r) => result = r,
Err(err) => {
let _ = tx.send(InferenceUpdate::Error(err.to_string())).await;
return;
}
}
}
// Send the final text response, or a fallback if the model returned nothing.
if result.tool_calls.is_empty() {
if result.text.is_empty() {
log::warn!(
"model returned empty reply — may have exhausted max_tokens on thinking"
);
let _ = tx
.send(InferenceUpdate::Error(
"(empty response — the model may have used all tokens on internal reasoning. \
Try a shorter or simpler prompt.)"
.to_string(),
))
.await;
} else {
let _ = tx.send(InferenceUpdate::Response(result.text)).await;
}
}
log::info!("inference complete — {} tool round(s)", round);
// Sender drops here → event loop sees `None`.
}
// ── Main loop ─────────────────────────────────────────────────────────────
/// Run the interactive chat UI. Blocks until the user quits.
///
/// Accepts a terminal that has already been initialised by the caller —
/// [`ratatui::init`] and [`ratatui::restore`] are the caller's responsibility.
///
/// `load_rx` is the receiving end of a [`std::sync::mpsc`] channel. A
/// dedicated OS thread loads the model and sends `Ok(())` or `Err(msg)` when
/// done. The event loop polls `try_recv()` on every tick — non-blocking,
/// zero contention with the tokio runtime.
pub async fn run_with<B: ratatui::backend::Backend>(
terminal: &mut ratatui::Terminal<B>,
engine: Arc<ChatEngine>,
load_rx: std_mpsc::Receiver<Result<(), String>>,
load_model_name: String,
) -> Result<()> {
event_loop(terminal, engine, load_rx, load_model_name).await
}
async fn event_loop<B: ratatui::backend::Backend>(
terminal: &mut ratatui::Terminal<B>,
engine: Arc<ChatEngine>,
load_rx: std_mpsc::Receiver<Result<(), String>>,
load_model_name: String,
) -> Result<()> {
let mut app = App::new(load_model_name);
let mut event_stream = EventStream::new();
// 100 ms per tick ≈ 10 fps — enough for a smooth spinner.
let mut ticker = interval(Duration::from_millis(100));
loop {
// ── Poll the loader channel (non-blocking) ────────────────────────
if app.is_loading {
match load_rx.try_recv() {
Ok(Ok(())) => app.finish_loading(),
Ok(Err(e)) => app.set_load_error(e),
Err(std_mpsc::TryRecvError::Empty) => {}
Err(std_mpsc::TryRecvError::Disconnected) => {
app.set_load_error("Model loader thread crashed.".to_string());
}
}
}
// redraw every iteration
terminal.draw(|frame| render(frame, &mut app))?;
if let Some(rx) = app.model_load_rx.as_mut() {
match rx.try_recv() {
Ok(ModelLoadUpdate::Loaded(model_name)) => {
engine.clear_history().await;
if let Some(tc) = app.pending_tool_calling.take() {
app.tool_calling = tc;
}
app.switching_model = false;
app.switching_model_id = None;
app.download_progress = None;
app.model_load_cancelled = false;
app.model_load_rx = None;
app.current_model_name = model_name.clone();
let save_result = app
.model_picker_items
.iter()
.find(|item| item.display_name == model_name)
.map(|item| crate::setup::SelectedModel {
model_id: item.config.model_id.clone(),
gguf_file: item
.config
.files
.first()
.cloned()
.unwrap_or_else(String::new),
})
.filter(|selected| !selected.gguf_file.is_empty())
.map(|selected| crate::setup::save_selected_model(&selected))
.unwrap_or_else(|| {
Err(format!(
"could not determine a stable identifier for {}",
model_name
))
});
if let Err(error) = save_result {
app.messages.push(ChatMessage::system(format!(
"warning: switched to {} but could not save the selection: {}",
model_name, error
)));
} else {
app.messages
.push(ChatMessage::system(format!("✓ Switched to {}", model_name)));
}
}
Ok(ModelLoadUpdate::Error(error)) => {
app.switching_model = false;
app.switching_model_id = None;
app.download_progress = None;
app.model_load_cancelled = false;
app.model_load_rx = None;
app.messages
.push(ChatMessage::system(format!("error loading model: {error}")));
}
Err(tokio::sync::mpsc::error::TryRecvError::Empty) => {}
Err(tokio::sync::mpsc::error::TryRecvError::Disconnected) => {
let was_cancelled = app.model_load_cancelled;
app.switching_model = false;
app.switching_model_id = None;
app.download_progress = None;
app.model_load_cancelled = false;
app.model_load_rx = None;
if !was_cancelled {
app.messages.push(ChatMessage::system(
"error loading model: loader task disconnected".to_string(),
));
}
}
}
}
if app.quit {
break;
}
// multiplex terminal events, streaming tokens, inference updates,
// and the thinking-spinner timer.
tokio::select! {
biased;
// ── Spinner tick (loading phase only) ─────────────────────────
_ = ticker.tick(), if app.is_loading => {
app.tick();
}
// ── Streaming LLM tokens ──────────────────────────────────────
chunk = async {
match app.stream_rx.as_mut() {
Some(rx) => rx.recv().await,
None => pending().await,
}
} => {
match chunk {
Some(chunk) => {
if !chunk.delta.is_empty() {
app.push_stream_delta(&chunk.delta);
}
if chunk.done {
app.finalize_stream();
}
}
// Sender dropped without sending done=true.
None => {
app.finalize_stream();
}
}
}
// ── inference updates from background task ───────────────────
update = async {
match app.inference_rx.as_mut() {
Some(rx) => rx.recv().await,
None => pending().await,
}
} => {
match update {
Some(InferenceUpdate::ToolUse(name)) => {
app.messages.push(ChatMessage::system(format!("🔧 {name}")));
}
Some(InferenceUpdate::Response(text)) => {
app.stop_thinking();
app.messages.push(ChatMessage::assistant(text));
}
Some(InferenceUpdate::Error(msg)) => {
app.stop_thinking();
app.messages.push(ChatMessage::system(format!("error: {msg}")));
}
None => {
// Sender dropped — task finished (possibly with no
// text response, e.g. all tool calls with empty final).
app.stop_thinking();
}
}
}
// ── thinking / switching spinner tick (100ms) ────────────────
_ = async {
if app.thinking || app.switching_model {
tokio::time::sleep(Duration::from_millis(100)).await
} else {
pending().await
}
} => {
app.tick_thinking();
// Refresh download-progress bytes from the HF cache dir so
// the progress bar in render_messages stays current.
if app.switching_model {
app.poll_download_progress();
}
}
// ── Terminal events ───────────────────────────────────────────
maybe_event = event_stream.next() => {
let Some(Ok(event)) = maybe_event else {
break;
};
if let Event::Key(key) = event {
// During loading, only Ctrl+C / Ctrl+D are accepted.
if app.is_loading {
if key.kind == KeyEventKind::Press {
let ctrl = key.modifiers.contains(KeyModifiers::CONTROL);
if ctrl
&& (key.code == KeyCode::Char('c')
|| key.code == KeyCode::Char('d'))
{
app.quit = true;
}
}
continue;
}
// While busy (streaming or thinking), only Ctrl+C/D work.
if app.is_busy() {
if key.kind == KeyEventKind::Press {
let ctrl = key.modifiers.contains(KeyModifiers::CONTROL);
if ctrl && (key.code == KeyCode::Char('c') || key.code == KeyCode::Char('d')) {
if app.is_streaming() {
app.finalize_stream();
app.messages.push(ChatMessage::system("(cancelled)"));
}
if app.thinking {
// Drop the receiver — the background task
// will see a closed channel and stop.
app.stop_thinking();
app.messages.push(ChatMessage::system("(cancelled)"));
}
if app.switching_model {
// Mark as cancelled before dropping the
// receiver so the Disconnected arm in the
// model_load_rx handler stays silent.
app.model_load_cancelled = true;
app.switching_model = false;
app.switching_model_id = None;
app.download_progress = None;
app.model_load_rx = None;
app.messages
.push(ChatMessage::system("(download cancelled — model switch aborted)"));
}
}
}
continue;
}
if let Some(text) = handle_key(&mut app, key) {
if let Some(cmd) = parse_slash(&text) {
exec_slash(&mut app, cmd, Arc::clone(&engine), terminal).await;
continue;
}
// ── Spawn inference on a background task ─────────
app.messages.push(ChatMessage::user(&text));
app.start_thinking();
let (tx, rx) = mpsc::channel::<InferenceUpdate>(64);
app.inference_rx = Some(rx);
let engine_handle = Arc::clone(&engine);
let user_text = text.clone();
let tools_enabled = app.tool_calling;
tokio::spawn(async move {
run_inference_task(engine_handle, user_text, tx, tools_enabled).await;
});
}
}
}
}
}
Ok(())
}
// ── Download progress helpers (TUI) ──────────────────────────────────────
/// Recursively sum the on-disk size of all files under `path`, following
/// symlinks so hf-hub's blob layout is counted correctly.
fn dir_size_recursive(path: &std::path::Path) -> u64 {
let mut total: u64 = 0;
let Ok(entries) = std::fs::read_dir(path) else {
return 0;
};
for entry in entries.flatten() {
let entry_path = entry.path();
if entry_path.is_dir() {
total += dir_size_recursive(&entry_path);
} else if let Ok(meta) = entry_path.metadata() {
total += meta.len();
}
}
total
}
/// Format a byte count as a terse human-readable string.
fn format_size_human(bytes: u64) -> String {
const GB: u64 = 1_073_741_824;
const MB: u64 = 1_048_576;
const KB: u64 = 1_024;
if bytes >= GB {
format!("{:.2} GB", bytes as f64 / GB as f64)
} else if bytes >= MB {
format!("{:.1} MB", bytes as f64 / MB as f64)
} else if bytes >= KB {
format!("{:.0} KB", bytes as f64 / KB as f64)
} else {
format!("{bytes} B")
}
}
} // end #[cfg(unix)] mod tui
// Re-export the Unix-only public entry point so callers can write
// `chat::run_with(...)` on all platforms and get a clean "not available"
// compile error on Windows rather than a missing-item error.
#[cfg(unix)]
pub use tui::run_with;
// ── Tests (platform-agnostic) ─────────────────────────────────────────────────
#[cfg(test)]
mod tests {
use super::strip_think_blocks;
#[test]
fn strip_think_blocks_separates_thinking_and_visible_reply() {
let raw = "<think>I should inspect the code first.</think>Here is the fix.";
let (thinking, visible) = strip_think_blocks(raw);
assert_eq!(thinking, "I should inspect the code first.");
assert_eq!(visible, "Here is the fix.");
}
#[test]
fn strip_think_blocks_handles_unclosed_think_block() {
let raw = "<think>I am still reasoning about the bug";
let (thinking, visible) = strip_think_blocks(raw);
assert_eq!(thinking, "I am still reasoning about the bug");
assert_eq!(visible, "");
}
#[test]
fn strip_think_blocks_leaves_plain_text_untouched() {
let raw = "No hidden reasoning here.";
let (thinking, visible) = strip_think_blocks(raw);
assert_eq!(thinking, "");
assert_eq!(visible, "No hidden reasoning here.");
}
}