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//! Main streaming turn loop for the engine.
//!
//! Extracted from `core/engine.rs` for issue #74. This module keeps the
//! existing per-turn orchestration intact: request construction, streaming
//! event handling, tool planning/execution, LSP post-edit hooks, capacity
//! checkpoints, and loop termination.
use super::*;
fn loop_guard_block_tool_result(message: String) -> ToolResult {
ToolResult::error(message).with_metadata(json!({"loop_guard": "identical_tool_call"}))
}
impl Engine {
pub(super) async fn handle_deepseek_turn(
&mut self,
turn: &mut TurnContext,
tool_registry: Option<&crate::tools::ToolRegistry>,
tools: Option<Vec<Tool>>,
mode: AppMode,
force_update_plan_first: bool,
) -> (TurnOutcomeStatus, Option<String>) {
// Signal to the terminal / taskbar that a turn is in progress
// (OSC 9 ; 4 indeterminate progress + title spinner).
crate::tui::notifications::set_taskbar_progress_busy();
crate::tui::notifications::start_title_animation("DeepSeek TUI");
let client = self
.deepseek_client
.clone()
.expect("DeepSeek client should be configured");
let mut consecutive_tool_error_steps = 0u32;
let mut turn_error: Option<String> = None;
let mut context_recovery_attempts = 0u8;
let mut tool_catalog = tools.unwrap_or_default();
if !tool_catalog.is_empty() {
ensure_advanced_tooling(&mut tool_catalog, mode, &self.config.tools_always_load);
}
let mut active_tool_names = initial_active_tools(&tool_catalog);
let mut loop_guard = LoopGuard::default();
// Transparent stream-retry counter: when the chunked-transfer
// connection dies mid-stream and we got nothing useful out of it
// (no tool calls, no completed text), we silently re-issue the
// SAME request up to MAX_STREAM_RETRIES times before surfacing
// the failure to the user. This is the #103 Phase 3 retry that
// keeps long V4 thinking turns from being killed by transient
// proxy disconnects.
const MAX_STREAM_RETRIES: u32 = 3;
let mut stream_retry_attempts: u32 = 0;
loop {
if self.cancel_token.is_cancelled() {
let _ = self.tx_event.send(Event::status("Request cancelled")).await;
return (TurnOutcomeStatus::Interrupted, None);
}
while let Ok(steer) = self.rx_steer.try_recv() {
let steer = steer.trim().to_string();
if steer.is_empty() {
continue;
}
self.session
.working_set
.observe_user_message(&steer, &self.session.workspace);
self.add_session_message(self.user_text_message_with_turn_metadata(steer.clone()))
.await;
let _ = self
.tx_event
.send(Event::status(format!(
"Steer input accepted: {}",
summarize_text(&steer, 120)
)))
.await;
}
// Ensure system prompt is up to date with latest session states
self.refresh_system_prompt(mode);
if turn.at_max_steps() {
let _ = self
.tx_event
.send(Event::status("Reached maximum steps"))
.await;
break;
}
let compaction_pins = self
.session
.working_set
.pinned_message_indices(&self.session.messages, &self.session.workspace);
let compaction_paths = self.session.working_set.top_paths(24);
if self.config.compaction.enabled
&& should_compact(
&self.session.messages,
&self.config.compaction,
Some(&self.session.workspace),
Some(&compaction_pins),
Some(&compaction_paths),
)
{
let compaction_id = format!("compact_{}", &uuid::Uuid::new_v4().to_string()[..8]);
self.emit_compaction_started(
compaction_id.clone(),
true,
"Auto context compaction started".to_string(),
)
.await;
let _ = self
.tx_event
.send(Event::status("Auto-compacting context...".to_string()))
.await;
let auto_messages_before = self.session.messages.len();
match compact_messages_safe(
&client,
&self.session.messages,
&self.config.compaction,
Some(&self.session.workspace),
Some(&compaction_pins),
Some(&compaction_paths),
)
.await
{
Ok(result) => {
// Only update if we got valid messages (never corrupt state)
if !result.messages.is_empty() || self.session.messages.is_empty() {
let auto_messages_after = result.messages.len();
self.session.messages = result.messages;
self.merge_compaction_summary(result.summary_prompt);
self.emit_session_updated().await;
let removed = auto_messages_before.saturating_sub(auto_messages_after);
let status = if result.retries_used > 0 {
format!(
"Auto-compaction complete: {auto_messages_before} → {auto_messages_after} messages ({removed} removed, {} retries)",
result.retries_used
)
} else {
format!(
"Auto-compaction complete: {auto_messages_before} → {auto_messages_after} messages ({removed} removed)"
)
};
self.emit_compaction_completed(
compaction_id.clone(),
true,
status.clone(),
Some(auto_messages_before),
Some(auto_messages_after),
)
.await;
let _ = self.tx_event.send(Event::status(status)).await;
} else {
let message = "Auto-compaction skipped: empty result".to_string();
self.emit_compaction_failed(
compaction_id.clone(),
true,
message.clone(),
)
.await;
let _ = self.tx_event.send(Event::status(message)).await;
}
}
Err(err) => {
// Log error but continue with original messages (never corrupt)
let message = format!("Auto-compaction failed: {err}");
self.emit_compaction_failed(compaction_id, true, message.clone())
.await;
let _ = self.tx_event.send(Event::status(message)).await;
}
}
}
if self
.run_capacity_pre_request_checkpoint(turn, Some(&client), mode)
.await
{
continue;
}
if let Some(input_budget) = context_input_budget(&self.session.model) {
let estimated_input = self.estimated_input_tokens();
if estimated_input > input_budget {
if context_recovery_attempts >= MAX_CONTEXT_RECOVERY_ATTEMPTS {
let message = format!(
"Context remains above model limit after {MAX_CONTEXT_RECOVERY_ATTEMPTS} recovery attempts \
(~{estimated_input} token estimate, ~{input_budget} budget). Please run /compact or /clear."
);
turn_error = Some(message.clone());
let _ = self
.tx_event
.send(Event::error(ErrorEnvelope::context_overflow(message)))
.await;
return (TurnOutcomeStatus::Failed, turn_error);
}
if self
.recover_context_overflow(&client, "preflight token budget")
.await
{
context_recovery_attempts = context_recovery_attempts.saturating_add(1);
continue;
}
}
}
// #136: drain any LSP diagnostics collected since the last
// request and inject them as a synthetic user message so the
// model sees compile errors before its next reasoning step.
self.flush_pending_lsp_diagnostics().await;
// #159: layered context seam checkpoint. This is opt-in for
// v0.7.5 while #200 audits cache-hit behavior; when enabled it
// appends <archived_context> blocks rather than replacing history.
self.layered_context_checkpoint().await;
// Build the request
let force_update_plan_this_step = force_update_plan_first && turn.tool_calls.is_empty();
let mut active_tools = if tool_catalog.is_empty() {
None
} else {
Some(active_tools_for_step(
&tool_catalog,
&active_tool_names,
force_update_plan_this_step,
))
};
if self.config.strict_tool_mode
&& let Some(tools) = active_tools.as_mut()
{
crate::tools::schema_sanitize::prepare_tools_for_strict_mode(tools);
}
// Resolve `auto` reasoning_effort to a concrete tier (#663).
let effective_reasoning_effort = resolve_auto_effort(
self.session.reasoning_effort.as_deref(),
&self.session.messages,
);
// Check prefix-cache stability before building the request.
// This detects system-prompt or tool-set drift that would
// invalidate DeepSeek's KV prefix cache for this turn.
// Sends an event on EVERY check so the TUI can maintain
// its own counter for the stable-checks tally.
if let Some(pm) = self.session.prefix_stability.as_mut() {
let system_text =
crate::prefix_cache::system_prompt_text(self.session.system_prompt.as_ref());
let tools_ref: Option<&[crate::models::Tool]> = active_tools.as_deref();
match pm.check_and_update(&system_text, tools_ref) {
Err(change) => {
tracing::debug!(
target: "prefix_cache",
"{}",
change.description()
);
let _ = self
.tx_event
.send(Event::PrefixCacheChange {
description: change.description(),
system_prompt_changed: change.system_changed,
tools_changed: change.tools_changed,
stability_pct: (pm.stability_ratio() * 100.0).round() as u32,
changed: true,
})
.await;
}
Ok(_) => {
// Stable check — keep the TUI counter in sync.
let _ = self
.tx_event
.send(Event::PrefixCacheChange {
description: String::new(),
system_prompt_changed: false,
tools_changed: false,
stability_pct: (pm.stability_ratio() * 100.0).round() as u32,
changed: false,
})
.await;
}
}
}
let request = MessageRequest {
model: self.session.model.clone(),
messages: self.messages_with_turn_metadata(),
max_tokens: effective_max_output_tokens(&self.session.model),
system: self.session.system_prompt.clone(),
tools: active_tools.clone(),
tool_choice: if active_tools.is_some() {
if self.config.strict_tool_mode {
Some(json!("required"))
} else {
Some(json!({ "type": "auto" }))
}
} else {
None
},
metadata: None,
thinking: None,
reasoning_effort: effective_reasoning_effort,
stream: Some(true),
temperature: None,
top_p: None,
};
// Stream the response. Keep the request around (cloned into the
// first call) so we can resend it on a transparent retry below
// when the wire dies before any content was streamed (#103).
let stream_request = request;
let stream_result = tokio::select! {
biased;
() = self.cancel_token.cancelled() => {
let _ = self.tx_event.send(Event::status("Request cancelled")).await;
return (TurnOutcomeStatus::Interrupted, None);
}
result = client.create_message_stream(stream_request.clone()) => result,
};
let stream = match stream_result {
Ok(s) => {
context_recovery_attempts = 0;
s
}
Err(e) => {
let message = self.decorate_auth_error_message(e.to_string());
if is_context_length_error_message(&message)
&& context_recovery_attempts < MAX_CONTEXT_RECOVERY_ATTEMPTS
&& self
.recover_context_overflow(&client, "provider context-length rejection")
.await
{
context_recovery_attempts = context_recovery_attempts.saturating_add(1);
continue;
}
turn_error = Some(message.clone());
let _ = self
.tx_event
.send(Event::error(ErrorEnvelope::classify(message, true)))
.await;
return (TurnOutcomeStatus::Failed, turn_error);
}
};
// The stream value is itself `Pin<Box<dyn Stream + Send>>`, which
// is `Unpin`, so we can rebind it on a transparent retry without
// breaking the existing pin invariants.
let mut stream = stream;
// Track content blocks
let mut content_blocks: Vec<ContentBlock> = Vec::new();
let mut current_text_raw = String::new();
let mut current_text_visible = String::new();
let mut current_thinking = String::new();
let mut tool_uses: Vec<ToolUseState> = Vec::new();
let mut usage = Usage {
input_tokens: 0,
output_tokens: 0,
..Usage::default()
};
let mut current_block_kind: Option<ContentBlockKind> = None;
// Map block_index → tool_uses position. Required because the
// OpenAI-compatible streaming parser emits multiple
// ContentBlockStart::ToolUse events back-to-back (one per
// tool_call in a batch) before any ContentBlockStop arrives —
// all Stops are flushed together at `finish_reason`. A single
// Option<usize> gets overwritten by each new Start; the first
// Stop then takes the last index, and every subsequent Stop
// takes `None`, dropping ToolCallStarted events for every
// tool call except the last one in the batch.
let mut current_tool_indices: std::collections::HashMap<u32, usize> =
std::collections::HashMap::new();
let mut in_tool_call_block = false;
let mut fake_wrapper_notice_emitted = false;
let mut pending_message_complete = false;
let mut last_text_index: Option<usize> = None;
let mut stream_errors = 0u32;
// #103 transparent retry bookkeeping. `any_content_received` flips
// on the first non-MessageStart event so we know whether DeepSeek
// billed us / the user has seen any output for this turn yet.
// This is distinct from the outer `stream_retry_attempts` (which
// restarts the whole turn-step when a stream died with no
// content-block delta delivered to the consumer).
let mut any_content_received = false;
let mut transparent_stream_retries = 0u32;
let mut pending_steers: Vec<String> = Vec::new();
// `stream_start` is reset on a transparent retry so the wall-clock
// budget restarts with the fresh stream.
let mut stream_start = Instant::now();
let mut stream_content_bytes: usize = 0;
let chunk_timeout_secs = stream_chunk_timeout_secs();
let chunk_timeout = Duration::from_secs(chunk_timeout_secs);
let max_duration = Duration::from_secs(STREAM_MAX_DURATION_SECS);
// Process stream events
loop {
let poll_outcome = tokio::select! {
biased;
_ = self.cancel_token.cancelled() => None,
result = tokio::time::timeout(chunk_timeout, stream.next()) => {
match result {
Ok(Some(event_result)) => Some(event_result),
Ok(None) => None, // stream ended normally
Err(_) => {
let envelope = StreamError::Stall {
timeout_secs: chunk_timeout_secs,
}
.into_envelope();
crate::logging::warn(&envelope.message);
let _ = self.tx_event.send(Event::error(envelope)).await;
None
}
}
}
};
let Some(event_result) = poll_outcome else {
break;
};
while let Ok(steer) = self.rx_steer.try_recv() {
let steer = steer.trim().to_string();
if steer.is_empty() {
continue;
}
pending_steers.push(steer.clone());
let _ = self
.tx_event
.send(Event::status(format!(
"Steer input queued: {}",
summarize_text(&steer, 120)
)))
.await;
}
if self.cancel_token.is_cancelled() {
break;
}
// Guard: max wall-clock duration
if stream_start.elapsed() > max_duration {
let envelope = StreamError::DurationLimit {
limit_secs: STREAM_MAX_DURATION_SECS,
}
.into_envelope();
crate::logging::warn(&envelope.message);
turn_error.get_or_insert(envelope.message.clone());
let _ = self.tx_event.send(Event::error(envelope)).await;
break;
}
// Guard: max accumulated content bytes
if stream_content_bytes > STREAM_MAX_CONTENT_BYTES {
let envelope = StreamError::Overflow {
limit_bytes: STREAM_MAX_CONTENT_BYTES,
}
.into_envelope();
crate::logging::warn(&envelope.message);
turn_error.get_or_insert(envelope.message.clone());
let _ = self.tx_event.send(Event::error(envelope)).await;
break;
}
let event = match event_result {
Ok(e) => {
// Flip on the first non-MessageStart event — that's
// the moment we cross from "stream not yet productive"
// (eligible for transparent retry) into "DeepSeek has
// billed us / user has seen output" (must surface).
if !any_content_received && !matches!(e, StreamEvent::MessageStart { .. }) {
any_content_received = true;
}
e
}
Err(e) => {
stream_errors = stream_errors.saturating_add(1);
let message = self.decorate_auth_error_message(e.to_string());
// #103: when the stream errors before any content was
// streamed AND we still have retry budget, transparently
// resend the request. DeepSeek has not billed for any
// output and the user has seen nothing — re-trying is
// the right user-visible behavior.
if should_transparently_retry_stream(
any_content_received,
transparent_stream_retries,
self.cancel_token.is_cancelled(),
) {
transparent_stream_retries =
transparent_stream_retries.saturating_add(1);
crate::logging::info(format!(
"Transparent stream retry {transparent_stream_retries}/{MAX_TRANSPARENT_STREAM_RETRIES} (no content received yet): {message}",
));
// Drop the failed stream before issuing the new
// request to release the underlying connection.
drop(stream);
let retry_stream_result = tokio::select! {
biased;
() = self.cancel_token.cancelled() => break,
result = client.create_message_stream(stream_request.clone()) => result,
};
match retry_stream_result {
Ok(fresh) => {
stream = fresh;
stream_start = Instant::now();
// Roll back the error counter — this one
// didn't surface to the user.
stream_errors = stream_errors.saturating_sub(1);
continue;
}
Err(retry_err) => {
let retry_msg = self.decorate_auth_error_message(format!(
"Stream retry failed: {retry_err}"
));
turn_error.get_or_insert(retry_msg.clone());
let _ = self
.tx_event
.send(Event::error(ErrorEnvelope::classify(
retry_msg, true,
)))
.await;
break;
}
}
}
turn_error.get_or_insert(message.clone());
let _ = self
.tx_event
.send(Event::error(ErrorEnvelope::classify(message, true)))
.await;
if stream_errors >= MAX_STREAM_ERRORS_BEFORE_FAIL {
break;
}
continue;
}
};
match event {
StreamEvent::MessageStart { message } => {
usage = message.usage;
}
StreamEvent::ContentBlockStart {
index,
content_block,
} => match content_block {
ContentBlockStart::Text { text } => {
current_text_raw = text;
current_text_visible.clear();
in_tool_call_block = false;
let filtered =
filter_tool_call_delta(¤t_text_raw, &mut in_tool_call_block);
if !fake_wrapper_notice_emitted
&& filtered.len() < current_text_raw.len()
&& contains_fake_tool_wrapper(¤t_text_raw)
{
let _ =
self.tx_event.send(Event::status(FAKE_WRAPPER_NOTICE)).await;
fake_wrapper_notice_emitted = true;
}
current_text_visible.push_str(&filtered);
current_block_kind = Some(ContentBlockKind::Text);
last_text_index = Some(index as usize);
let _ = self
.tx_event
.send(Event::MessageStarted {
index: index as usize,
})
.await;
}
ContentBlockStart::Thinking { thinking } => {
current_thinking = thinking;
current_block_kind = Some(ContentBlockKind::Thinking);
let _ = self
.tx_event
.send(Event::ThinkingStarted {
index: index as usize,
})
.await;
}
ContentBlockStart::ToolUse {
id,
name,
input,
caller,
} => {
crate::logging::info(format!(
"Tool '{name}' block start. Initial input: {input:?}"
));
current_block_kind = Some(ContentBlockKind::ToolUse);
current_tool_indices.insert(index, tool_uses.len());
// ToolCallStarted is deferred to ContentBlockStop —
// see `final_tool_input`. Emitting here would ship
// the placeholder `{}` and the cell would render
// `<command>` / `<file>` literals to the user.
tool_uses.push(ToolUseState {
id,
name,
input,
caller,
input_buffer: String::new(),
});
}
ContentBlockStart::ServerToolUse { id, name, input } => {
crate::logging::info(format!(
"Server tool '{name}' block start. Initial input: {input:?}"
));
current_block_kind = Some(ContentBlockKind::ToolUse);
current_tool_indices.insert(index, tool_uses.len());
tool_uses.push(ToolUseState {
id,
name,
input,
caller: None,
input_buffer: String::new(),
});
}
},
StreamEvent::ContentBlockDelta { index, delta } => match delta {
Delta::TextDelta { text } => {
stream_content_bytes = stream_content_bytes.saturating_add(text.len());
current_text_raw.push_str(&text);
let filtered = filter_tool_call_delta(&text, &mut in_tool_call_block);
if !fake_wrapper_notice_emitted
&& filtered.len() < text.len()
&& contains_fake_tool_wrapper(&text)
{
let _ =
self.tx_event.send(Event::status(FAKE_WRAPPER_NOTICE)).await;
fake_wrapper_notice_emitted = true;
}
if !filtered.is_empty() {
current_text_visible.push_str(&filtered);
let _ = self
.tx_event
.send(Event::MessageDelta {
index: index as usize,
content: filtered,
})
.await;
}
}
Delta::ThinkingDelta { thinking } => {
stream_content_bytes =
stream_content_bytes.saturating_add(thinking.len());
current_thinking.push_str(&thinking);
if !thinking.is_empty() {
let _ = self
.tx_event
.send(Event::ThinkingDelta {
index: index as usize,
content: thinking,
})
.await;
}
}
Delta::InputJsonDelta { partial_json } => {
if let Some(&tool_idx) = current_tool_indices.get(&index)
&& let Some(tool_state) = tool_uses.get_mut(tool_idx)
{
tool_state.input_buffer.push_str(&partial_json);
crate::logging::info(format!(
"Tool '{}' input delta: {} (buffer now: {})",
tool_state.name, partial_json, tool_state.input_buffer
));
if let Some(value) = parse_tool_input(&tool_state.input_buffer) {
tool_state.input = value.clone();
crate::logging::info(format!(
"Tool '{}' input parsed: {:?}",
tool_state.name, value
));
}
}
}
},
StreamEvent::ContentBlockStop { index } => {
let stopped_kind = current_block_kind.take();
match stopped_kind {
Some(ContentBlockKind::Text) => {
pending_message_complete = true;
last_text_index = Some(index as usize);
}
Some(ContentBlockKind::Thinking) => {
let _ = self
.tx_event
.send(Event::ThinkingComplete {
index: index as usize,
})
.await;
}
Some(ContentBlockKind::ToolUse) | None => {}
}
// Route the Stop using event.index (via
// `current_tool_indices`) rather than the single
// `current_block_kind` slot. In an OpenAI batch
// tool-call stream every Stop after the first sees
// `stopped_kind = None` because `take()` cleared the
// slot, so the original `matches!(stopped_kind, …)`
// check would skip every tool except the last.
if let Some(tool_idx) = current_tool_indices.remove(&index)
&& let Some(tool_state) = tool_uses.get_mut(tool_idx)
{
crate::logging::info(format!(
"Tool '{}' block stop. Buffer: '{}', Current input: {:?}",
tool_state.name, tool_state.input_buffer, tool_state.input
));
if !tool_state.input_buffer.trim().is_empty() {
if let Some(value) = parse_tool_input(&tool_state.input_buffer) {
tool_state.input = value;
crate::logging::info(format!(
"Tool '{}' final input: {:?}",
tool_state.name, tool_state.input
));
} else {
crate::logging::warn(format!(
"Tool '{}' failed to parse final input buffer: '{}'",
tool_state.name, tool_state.input_buffer
));
let _ = self
.tx_event
.send(Event::status(format!(
"âš Tool '{}' received malformed arguments from model",
tool_state.name
)))
.await;
}
} else {
crate::logging::warn(format!(
"Tool '{}' input buffer is empty, using initial input: {:?}",
tool_state.name, tool_state.input
));
}
// Now that the input is finalized, announce the
// tool call to the UI. Deferring to here is what
// keeps the cell from rendering `<command>` /
// `<file>` placeholders during the brief window
// between block start and the last InputJsonDelta.
let _ = self
.tx_event
.send(Event::ToolCallStarted {
id: tool_state.id.clone(),
name: tool_state.name.clone(),
input: final_tool_input(tool_state),
})
.await;
}
}
StreamEvent::MessageDelta {
usage: delta_usage, ..
} => {
if let Some(u) = delta_usage {
usage = u;
}
}
StreamEvent::MessageStop | StreamEvent::Ping => {}
}
}
if self.cancel_token.is_cancelled() {
let _ = self.tx_event.send(Event::status("Request cancelled")).await;
return (TurnOutcomeStatus::Interrupted, None);
}
// #103 Phase 3 — transparent retry. The inner loop above bails
// when reqwest yields chunk decode errors three times in a row;
// most of the time those are recoverable proxy / HTTP/2 issues
// and the request can simply be re-issued. Re-issue silently up
// to MAX_STREAM_RETRIES, but only when the stream produced
// nothing actionable — if any tool call landed or text was
// streamed, ship the partial state to the rest of the turn
// pipeline so we don't double-bill the user by re-running it.
let stream_died_with_nothing = stream_errors > 0
&& tool_uses.is_empty()
&& current_text_visible.trim().is_empty()
&& current_thinking.trim().is_empty()
&& !pending_message_complete;
if stream_died_with_nothing {
if stream_retry_attempts < MAX_STREAM_RETRIES {
stream_retry_attempts = stream_retry_attempts.saturating_add(1);
crate::logging::warn(format!(
"Stream died with no content (attempt {stream_retry_attempts}/{MAX_STREAM_RETRIES}); retrying request"
));
let _ = self
.tx_event
.send(Event::status(format!(
"Connection interrupted; retrying ({stream_retry_attempts}/{MAX_STREAM_RETRIES})"
)))
.await;
// Don't preserve the per-stream `turn_error` — we're
// about to retry, and a successful retry should not
// surface the transient error as the turn outcome.
turn_error = None;
continue;
}
crate::logging::warn(format!(
"Stream retry budget exhausted ({stream_retry_attempts} attempts); failing turn"
));
} else if stream_errors == 0 {
// Healthy round → reset retry budget so we don't carry over
// state from a previous bad round.
stream_retry_attempts = 0;
}
// Update turn usage
turn.add_usage(&usage);
// Build content blocks. If this assistant turn produced tool
// calls, ensure a Thinking block is present even when the model
// didn't stream any reasoning text — DeepSeek's thinking-mode
// API requires `reasoning_content` to accompany every tool-call
// assistant message in the conversation history. Saving a
// placeholder here keeps the on-disk session structurally
// correct so subsequent requests won't 400.
let needs_thinking_block =
!tool_uses.is_empty() || tool_parser::has_tool_call_markers(¤t_text_raw);
let thinking_to_persist = if !current_thinking.is_empty() {
Some(current_thinking.clone())
} else if needs_thinking_block {
Some(String::from("(reasoning omitted)"))
} else {
None
};
if let Some(thinking) = thinking_to_persist {
content_blocks.push(ContentBlock::Thinking { thinking });
}
let mut final_text = current_text_visible.clone();
if tool_uses.is_empty() && tool_parser::has_tool_call_markers(¤t_text_raw) {
let parsed = tool_parser::parse_tool_calls(¤t_text_raw);
final_text = parsed.clean_text;
for call in parsed.tool_calls {
let _ = self
.tx_event
.send(Event::ToolCallStarted {
id: call.id.clone(),
name: call.name.clone(),
input: call.args.clone(),
})
.await;
tool_uses.push(ToolUseState {
id: call.id,
name: call.name,
input: call.args,
caller: None,
input_buffer: String::new(),
});
}
}
if !final_text.is_empty() {
content_blocks.push(ContentBlock::Text {
text: final_text,
cache_control: None,
});
}
for tool in &tool_uses {
content_blocks.push(ContentBlock::ToolUse {
id: tool.id.clone(),
name: tool.name.clone(),
input: tool.input.clone(),
caller: tool.caller.clone(),
});
}
if pending_message_complete {
let index = last_text_index.unwrap_or(0);
let _ = self.tx_event.send(Event::MessageComplete { index }).await;
}
// RLM is a structured tool call (`rlm_query`) handled by the
// normal tool dispatch path; inline ```repl blocks (paper §2)
// are executed below when tool_uses is empty.
// DeepSeek chat API rejects assistant messages that contain only
// Keep thinking for UI stream events, but persist only sendable
// assistant turns in the conversation state.
let has_sendable_assistant_content = content_blocks.iter().any(|block| {
matches!(
block,
ContentBlock::Text { .. } | ContentBlock::ToolUse { .. }
)
});
// Issue #1727: did this turn produce ONLY a reasoning/thinking
// block — empty content, no tool calls (e.g. gpt-oss via ollama's
// harmony→OpenAI shim mapping to `reasoning_content`)? We do NOT
// surface anything here: after this point the same turn can still
// CONTINUE for pending steers (~below) or sub-agent completions,
// and emitting now would show a spurious "turn ended" notice right
// before the turn resumes. Capture the fact and decide later, at
// the point the turn is certain to be finishing with no sendable
// content (see the `tool_uses.is_empty()` tail).
let thinking_only_no_sendable = !has_sendable_assistant_content;
// Add assistant message to session
if has_sendable_assistant_content {
self.add_session_message(Message {
role: "assistant".to_string(),
content: content_blocks,
})
.await;
}
// If no tool uses, check for inline REPL blocks (paper §2) or
// finish the turn.
if tool_uses.is_empty() {
if !pending_steers.is_empty() {
for steer in pending_steers.drain(..) {
self.session
.working_set
.observe_user_message(&steer, &self.session.workspace);
self.add_session_message(self.user_text_message_with_turn_metadata(steer))
.await;
}
turn.next_step();
continue;
}
// Sub-agent completion handoff (issue #756). The model finished
// streaming with no tool calls — but if it has direct children
// still running (or completions queued from children that
// finished while we were inferring), surface their
// `<codewhale:subagent.done>` sentinels into the transcript and
// resume instead of ending the turn. This fulfils the contract
// already documented in `prompts/base.md`: the parent is
// promised it'll see the sentinel when a child finishes.
let mut completions: Vec<crate::tools::subagent::SubAgentCompletion> = Vec::new();
while let Ok(c) = self.rx_subagent_completion.try_recv() {
completions.push(c);
}
if completions.is_empty() {
let running = {
let mgr = self.subagent_manager.read().await;
mgr.running_count()
};
if should_hold_turn_for_subagents(completions.len(), running) {
let _ = self
.tx_event
.send(Event::status(format!(
"Waiting on {running} sub-agent(s) to complete..."
)))
.await;
tokio::select! {
biased;
() = self.cancel_token.cancelled() => {
let _ = self
.tx_event
.send(Event::status(
"Request cancelled while waiting for sub-agents",
))
.await;
return (TurnOutcomeStatus::Interrupted, None);
}
Some(c) = self.rx_subagent_completion.recv() => {
completions.push(c);
while let Ok(extra) = self.rx_subagent_completion.try_recv() {
completions.push(extra);
}
}
Some(steer) = self.rx_steer.recv() => {
let trimmed = steer.trim().to_string();
if !trimmed.is_empty() {
self.session
.working_set
.observe_user_message(&trimmed, &self.session.workspace);
self.add_session_message(
self.user_text_message_with_turn_metadata(trimmed.clone()),
)
.await;
let _ = self
.tx_event
.send(Event::status(format!(
"Steer input accepted: {}",
summarize_text(&trimmed, 120)
)))
.await;
}
turn.next_step();
continue;
}
}
}
}
if !completions.is_empty() {
let count = completions.len();
for c in completions {
self.add_session_message(subagent_completion_runtime_message(&c.payload))
.await;
}
let _ = self
.tx_event
.send(Event::status(format!(
"Resuming turn with {count} sub-agent completion(s)"
)))
.await;
turn.next_step();
continue;
}
// Inline ```repl execution — paper-spec RLM integration.
if has_sendable_assistant_content
&& crate::repl::sandbox::has_repl_block(¤t_text_visible)
{
let repl_blocks =
crate::repl::sandbox::extract_repl_blocks(¤t_text_visible);
let mut runtime = match crate::repl::runtime::PythonRuntime::new().await {
Ok(rt) => rt,
Err(e) => {
let _ = self
.tx_event
.send(Event::status(format!("REPL init failed: {e}")))
.await;
break;
}
};
let mut final_result: Option<String> = None;
for (i, block) in repl_blocks.iter().enumerate() {
let round_num = i + 1;
let _ = self
.tx_event
.send(Event::status(format!(
"REPL round {round_num}: executing..."
)))
.await;
match runtime.execute(&block.code).await {
Ok(round) => {
if let Some(val) = &round.final_value {
let _ = self
.tx_event
.send(Event::status(format!(
"REPL round {round_num}: FINAL result obtained"
)))
.await;
final_result = Some(val.clone());
break;
}
// No FINAL — feed truncated stdout back as user metadata.
let feedback = if round.has_error {
format!(
"[REPL round {round_num} error]\nstdout:\n{}\nstderr:\n{}",
round.stdout, round.stderr
)
} else {
format!("[REPL round {round_num} output]\n{}", round.stdout)
};
self.add_session_message(
self.user_text_message_with_turn_metadata(feedback),
)
.await;
}
Err(e) => {
let _ = self
.tx_event
.send(Event::status(format!(
"REPL round {round_num} failed: {e}"
)))
.await;
self.add_session_message(
self.user_text_message_with_turn_metadata(format!(
"[REPL round {round_num} execution failed]\n{e}"
)),
)
.await;
}
}
}
if let Some(final_val) = final_result {
// Replace the assistant's text with the FINAL answer.
if let Some(last_msg) = self.session.messages.last_mut()
&& last_msg.role == "assistant"
{
for block in &mut last_msg.content {
if let ContentBlock::Text { text, .. } = block {
*text = final_val;
break;
}
}
}
self.emit_session_updated().await;
break;
}
// No FINAL — let the model iterate with the feedback.
turn.next_step();
continue;
}
// Issue #1727: the turn is now genuinely finishing with no
// sendable content. Control only reaches here when there were
// no pending steers (`continue`d above), no sub-agent
// completions to resume with, and we were not holding for
// running children (the `should_hold_turn_for_subagents`
// branch above would have awaited / `continue`d / returned).
// If the assistant produced ONLY a reasoning block, the prior
// code fell straight through to this `break`, emitting nothing
// and leaving the UI spinner hung. Surface a status now —
// safe because the turn can no longer resume.
// #1961: Before breaking, drain any sub-agent completions that
// arrived between the last hold check and now. If a child finished
// while we were running the thinking-only check, surface its
// sentinel rather than delaying it to the next turn.
let mut late_completions: Vec<crate::tools::subagent::SubAgentCompletion> =
Vec::new();
while let Ok(c) = self.rx_subagent_completion.try_recv() {
late_completions.push(c);
}
if !late_completions.is_empty() {
let count = late_completions.len();
for c in late_completions {
self.add_session_message(subagent_completion_runtime_message(&c.payload))
.await;
}
let _ = self
.tx_event
.send(Event::status(format!(
"Resuming turn with {count} late sub-agent completion(s)"
)))
.await;
turn.next_step();
continue;
}
if thinking_only_no_sendable {
let holding_for_subagents = {
let running = {
let mgr = self.subagent_manager.read().await;
mgr.running_count()
};
should_hold_turn_for_subagents(0, running)
};
if should_emit_thinking_only_status(
tool_uses.is_empty(),
turn_error.is_none(),
self.cancel_token.is_cancelled(),
!pending_steers.is_empty(),
holding_for_subagents,
) {
let message = "Model returned reasoning but no answer or tool call; \
turn ended without output. Send a follow-up to retry."
.to_string();
crate::logging::warn(&message);
let _ = self.tx_event.send(Event::status(message)).await;
}
}
break;
}
// Execute tools
let tool_exec_lock = self.tool_exec_lock.clone();
let mcp_pool = if tool_uses
.iter()
.any(|tool| McpPool::is_mcp_tool(&tool.name))
{
match self.ensure_mcp_pool().await {
Ok(pool) => Some(pool),
Err(err) => {
let _ = self.tx_event.send(Event::status(err.to_string())).await;
None
}
}
} else {
None
};
let active_tools_at_batch_start = active_tool_names.clone();
let mut deferred_tools_hydrated_this_batch: std::collections::HashSet<String> =
std::collections::HashSet::new();
let mut plans: Vec<ToolExecutionPlan> = Vec::with_capacity(tool_uses.len());
for (index, tool) in tool_uses.iter_mut().enumerate() {
let tool_id = tool.id.clone();
let mut tool_name = tool.name.clone();
let tool_input = tool.input.clone();
let tool_caller = tool.caller.clone();
crate::logging::info(format!(
"Planning tool '{tool_name}' with input: {tool_input:?}"
));
let interactive = (tool_name == "exec_shell"
&& tool_input
.get("interactive")
.and_then(serde_json::Value::as_bool)
== Some(true))
|| tool_name == REQUEST_USER_INPUT_NAME;
let mut approval_required = false;
let mut approval_description = "Tool execution requires approval".to_string();
let mut supports_parallel = false;
let mut read_only = false;
let mut blocked_error: Option<ToolError> = None;
let mut guard_result: Option<ToolResult> = None;
if mode == AppMode::Plan
&& matches!(
tool_name.as_str(),
"exec_shell"
| "exec_shell_wait"
| "exec_shell_interact"
| "exec_wait"
| "exec_interact"
| CODE_EXECUTION_TOOL_NAME
| JS_EXECUTION_TOOL_NAME
)
{
blocked_error = Some(ToolError::permission_denied(format!(
"'{tool_name}' is not available in Plan mode — switch to Agent, Goal, or YOLO mode to run commands and code."
)));
}
let requested_tool_name = tool_name.clone();
let mut tool_def = tool_catalog.iter().find(|def| def.name == tool_name);
// Resolve hallucinated tool names when the model emits a
// non-canonical variant (Read_file, readFile, read-file, etc.).
if tool_def.is_none()
&& let Some(registry) = tool_registry
&& let Some(canonical) = registry.resolve(&tool_name)
{
crate::logging::info(format!(
"Resolved hallucinated tool name '{tool_name}' -> '{canonical}'"
));
tool_def = tool_catalog.iter().find(|d| d.name == canonical);
if tool_def.is_some() {
tool_name = canonical.to_string();
// Update the tool_uses entry so the result is
// attributed to the canonical name.
tool.name = tool_name.clone();
}
}
if !caller_allowed_for_tool(tool_caller.as_ref(), tool_def) {
blocked_error = Some(ToolError::permission_denied(format!(
"Tool '{tool_name}' does not allow caller '{}'",
caller_type_for_tool_use(tool_caller.as_ref())
)));
}
if blocked_error.is_none()
&& tool_def.is_none()
&& !McpPool::is_mcp_tool(&tool_name)
&& tool_name != CODE_EXECUTION_TOOL_NAME
&& tool_name != JS_EXECUTION_TOOL_NAME
&& !is_tool_search_tool(&tool_name)
{
blocked_error = Some(ToolError::not_available(missing_tool_error_message(
&tool_name,
&tool_catalog,
)));
}
if McpPool::is_mcp_tool(&tool_name) {
read_only = mcp_tool_is_read_only(&tool_name);
supports_parallel = mcp_tool_is_parallel_safe(&tool_name);
approval_required = !read_only;
approval_description = mcp_tool_approval_description(&tool_name);
} else if let Some(registry) = tool_registry
&& let Some(spec) = registry.get(&tool_name)
{
approval_required = spec.approval_requirement() != ApprovalRequirement::Auto;
approval_description = spec.description().to_string();
supports_parallel = spec.supports_parallel();
read_only = spec.is_read_only();
} else if tool_name == CODE_EXECUTION_TOOL_NAME {
approval_required = true;
approval_description =
"Run model-provided Python code in local execution sandbox".to_string();
supports_parallel = false;
read_only = false;
} else if tool_name == JS_EXECUTION_TOOL_NAME {
approval_required = true;
approval_description =
"Run model-provided JavaScript code in local Node.js execution sandbox"
.to_string();
supports_parallel = false;
read_only = false;
} else if is_tool_search_tool(&tool_name) {
approval_required = false;
approval_description = "Search tool catalog".to_string();
supports_parallel = false;
read_only = true;
}
let should_emit_hydration_status =
!deferred_tools_hydrated_this_batch.contains(&tool_name);
if blocked_error.is_none()
&& let Some(result) = maybe_hydrate_requested_deferred_tool(
&tool_name,
&tool_input,
&tool_catalog,
&active_tools_at_batch_start,
&mut deferred_tools_hydrated_this_batch,
)
{
if should_emit_hydration_status {
let status = if requested_tool_name == tool_name {
format!("Auto-loaded deferred tool '{tool_name}' after model request.")
} else {
format!(
"Auto-loaded deferred tool '{tool_name}' after resolving '{requested_tool_name}'."
)
};
let _ = self.tx_event.send(Event::status(status)).await;
}
guard_result = Some(result);
}
if blocked_error.is_none()
&& guard_result.is_none()
&& let AttemptDecision::Block(message) =
loop_guard.record_attempt(&tool_name, &tool_input)
{
crate::logging::warn(message.clone());
guard_result = Some(loop_guard_block_tool_result(message));
}
plans.push(ToolExecutionPlan {
index,
id: tool_id,
name: tool_name,
input: tool_input,
caller: tool_caller,
interactive,
approval_required,
approval_description,
supports_parallel,
read_only,
blocked_error,
guard_result,
});
}
active_tool_names.extend(deferred_tools_hydrated_this_batch);
let plan_count = plans.len();
let batches = plan_tool_execution_batches(plans);
let parallel_chunks = batches
.iter()
.filter_map(|batch| match batch {
ToolExecutionBatch::Parallel(plans) if plans.len() > 1 => Some(plans.len()),
_ => None,
})
.collect::<Vec<_>>();
if !parallel_chunks.is_empty() {
let parallel_tool_count: usize = parallel_chunks.iter().sum();
let _ = self
.tx_event
.send(Event::status(format!(
"Executing {parallel_tool_count} read-only tools in {} parallel chunk(s)",
parallel_chunks.len()
)))
.await;
} else if plan_count > 1 {
let _ = self
.tx_event
.send(Event::status(
"Executing tools sequentially (writes, approvals, or non-parallel tools detected)",
))
.await;
}
let mut outcomes: Vec<Option<ToolExecOutcome>> = Vec::with_capacity(plan_count);
outcomes.resize_with(plan_count, || None);
for batch in batches {
let (parallel_allowed, plans) = match batch {
ToolExecutionBatch::Parallel(plans) => (true, plans),
ToolExecutionBatch::Serial(plan) => (false, vec![*plan]),
};
if parallel_allowed {
let mut tool_tasks = FuturesUnordered::new();
for plan in plans {
if let Some(result) = plan.guard_result.clone() {
let result = Ok(result);
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: plan.id.clone(),
name: plan.name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: plan.id,
name: plan.name,
input: plan.input,
started_at: Instant::now(),
result,
});
continue;
}
if let Some(err) = plan.blocked_error.clone() {
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: plan.id,
name: plan.name,
input: plan.input,
started_at: Instant::now(),
result: Err(err),
});
continue;
}
let registry = tool_registry;
let lock = tool_exec_lock.clone();
let mcp_pool = mcp_pool.clone();
let tx_event = self.tx_event.clone();
let session_id = self.session.id.clone();
let started_at = Instant::now();
tool_tasks.push(async move {
let mut result = Engine::execute_tool_with_lock(
lock,
plan.supports_parallel,
plan.interactive,
tx_event.clone(),
plan.name.clone(),
plan.input.clone(),
registry,
mcp_pool,
None,
)
.await;
// #500: spill outsized output before fanout (mirror
// of the sequential path below). Emit a
// `tool.spillover` audit event so operators can
// correlate large-output episodes with disk usage.
if let Ok(tool_result) = result.as_mut()
&& let Some(path) =
crate::tools::truncate::apply_spillover_with_artifact(
tool_result,
&plan.id,
&plan.name,
&session_id,
)
{
emit_tool_audit(json!({
"event": "tool.spillover",
"tool_id": plan.id.clone(),
"tool_name": plan.name.clone(),
"path": path.display().to_string(),
}));
}
let _ = tx_event
.send(Event::ToolCallComplete {
id: plan.id.clone(),
name: plan.name.clone(),
result: result.clone(),
})
.await;
ToolExecOutcome {
index: plan.index,
id: plan.id,
name: plan.name,
input: plan.input,
started_at,
result,
}
});
}
while let Some(outcome) = tool_tasks.next().await {
let index = outcome.index;
outcomes[index] = Some(outcome);
}
} else {
for plan in plans {
let tool_id = plan.id.clone();
let tool_name = plan.name.clone();
let tool_input = plan.input.clone();
let tool_caller = plan.caller.clone();
if let Some(result) = plan.guard_result.clone() {
let result = Ok(result);
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: tool_id.clone(),
name: tool_name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: tool_id,
name: tool_name,
input: tool_input,
started_at: Instant::now(),
result,
});
continue;
}
if let Some(err) = plan.blocked_error.clone() {
let result = Err(err);
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: tool_id.clone(),
name: tool_name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: tool_id,
name: tool_name,
input: tool_input,
started_at: Instant::now(),
result,
});
continue;
}
if tool_name == MULTI_TOOL_PARALLEL_NAME {
let started_at = Instant::now();
let result = self
.execute_parallel_tool(
tool_input.clone(),
tool_registry,
tool_exec_lock.clone(),
)
.await;
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: tool_id.clone(),
name: tool_name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: tool_id,
name: tool_name,
input: tool_input,
started_at,
result,
});
continue;
}
if tool_name == CODE_EXECUTION_TOOL_NAME {
let started_at = Instant::now();
let result =
execute_code_execution_tool(&tool_input, &self.session.workspace)
.await;
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: tool_id.clone(),
name: tool_name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: tool_id,
name: tool_name,
input: tool_input,
started_at,
result,
});
continue;
}
if tool_name == JS_EXECUTION_TOOL_NAME {
let started_at = Instant::now();
let result =
execute_js_execution_tool(&tool_input, &self.session.workspace)
.await;
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: tool_id.clone(),
name: tool_name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: tool_id,
name: tool_name,
input: tool_input,
started_at,
result,
});
continue;
}
if is_tool_search_tool(&tool_name) {
let started_at = Instant::now();
let result = execute_tool_search(
&tool_name,
&tool_input,
&tool_catalog,
&mut active_tool_names,
);
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: tool_id.clone(),
name: tool_name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: tool_id,
name: tool_name,
input: tool_input,
started_at,
result,
});
continue;
}
if tool_name == REQUEST_USER_INPUT_NAME {
let started_at = Instant::now();
let result = match UserInputRequest::from_value(&tool_input) {
Ok(request) => self
.await_user_input(&tool_id, request)
.await
.and_then(|response| {
ToolResult::json(&response)
.map_err(|e| ToolError::execution_failed(e.to_string()))
}),
Err(err) => Err(err),
};
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: tool_id.clone(),
name: tool_name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: tool_id,
name: tool_name,
input: tool_input,
started_at,
result,
});
continue;
}
// Handle approval flow: returns (result_override, context_override)
let (result_override, context_override): (
Option<Result<ToolResult, ToolError>>,
Option<crate::tools::ToolContext>,
) = if plan.approval_required {
emit_tool_audit(json!({
"event": "tool.approval_required",
"tool_id": tool_id.clone(),
"tool_name": tool_name.clone(),
}));
let approval_key = crate::tools::approval_cache::build_approval_key(
&tool_name,
&tool_input,
)
.0;
let approval_grouping_key =
crate::tools::approval_cache::build_approval_grouping_key(
&tool_name,
&tool_input,
)
.0;
let _ = self
.tx_event
.send(Event::ApprovalRequired {
id: tool_id.clone(),
tool_name: tool_name.clone(),
description: plan.approval_description.clone(),
approval_key,
approval_grouping_key,
})
.await;
match self.await_tool_approval(&tool_id).await {
Ok(ApprovalResult::Approved) => {
emit_tool_audit(json!({
"event": "tool.approval_decision",
"tool_id": tool_id.clone(),
"tool_name": tool_name.clone(),
"decision": "approved",
"caller": caller_type_for_tool_use(tool_caller.as_ref()),
}));
(None, None)
}
Ok(ApprovalResult::Denied) => {
emit_tool_audit(json!({
"event": "tool.approval_decision",
"tool_id": tool_id.clone(),
"tool_name": tool_name.clone(),
"decision": "denied",
"caller": caller_type_for_tool_use(tool_caller.as_ref()),
}));
(
Some(Err(ToolError::permission_denied(format!(
"Tool '{tool_name}' denied by user"
)))),
None,
)
}
Ok(ApprovalResult::RetryWithPolicy(policy)) => {
emit_tool_audit(json!({
"event": "tool.approval_decision",
"tool_id": tool_id.clone(),
"tool_name": tool_name.clone(),
"decision": "retry_with_policy",
"policy": format!("{policy:?}"),
"caller": caller_type_for_tool_use(tool_caller.as_ref()),
}));
let elevated_context = tool_registry.map(|r| {
r.context().clone().with_elevated_sandbox_policy(policy)
});
(None, elevated_context)
}
Err(err) => (Some(Err(err)), None),
}
} else {
(None, None)
};
// Per-tool snapshot for surgical undo (#384): capture workspace
// state before file-modifying tools execute so `/undo` can
// revert the most recent write_file/edit_file/apply_patch.
if result_override.is_none()
&& matches!(
tool_name.as_str(),
"write_file" | "edit_file" | "apply_patch"
)
{
let ws = self.session.workspace.clone();
let tid = tool_id.clone();
let cap = self.config.snapshots_max_workspace_bytes;
let _ = tokio::task::spawn_blocking(move || {
crate::core::turn::pre_tool_snapshot(&ws, &tid, cap)
})
.await;
}
let started_at = Instant::now();
let mut result = if let Some(result_override) = result_override {
result_override
} else {
Self::execute_tool_with_lock(
tool_exec_lock.clone(),
plan.supports_parallel,
plan.interactive,
self.tx_event.clone(),
tool_name.clone(),
tool_input.clone(),
tool_registry,
mcp_pool.clone(),
context_override,
)
.await
};
// #500: spill outsized tool outputs to disk before the
// result fans out to the model context and the UI cell.
// Both consumers see the same artifact reference block +
// metadata pointing at the session-owned full file.
// Emit a discrete `tool.spillover` audit event so
// operators can correlate large-output episodes with
// disk-usage growth in `~/.deepseek/tool_outputs/`.
if let Ok(tool_result) = result.as_mut()
&& let Some(path) =
crate::tools::truncate::apply_spillover_with_artifact(
tool_result,
&tool_id,
&tool_name,
&self.session.id,
)
{
emit_tool_audit(json!({
"event": "tool.spillover",
"tool_id": tool_id.clone(),
"tool_name": tool_name.clone(),
"path": path.display().to_string(),
}));
}
let _ = self
.tx_event
.send(Event::ToolCallComplete {
id: tool_id.clone(),
name: tool_name.clone(),
result: result.clone(),
})
.await;
outcomes[plan.index] = Some(ToolExecOutcome {
index: plan.index,
id: tool_id,
name: tool_name,
input: tool_input,
started_at,
result,
});
}
}
}
let mut step_error_count = 0usize;
// Categorized tool errors collected this step. Feeds the capacity
// controller's error-escalation checkpoint so it can distinguish
// (e.g.) a Tool failure that should escalate from a permission
// denial that should not.
let mut step_error_categories: Vec<ErrorCategory> = Vec::new();
let mut stop_after_plan_tool = false;
let mut loop_guard_halt: Option<String> = None;
for outcome in outcomes.into_iter().flatten() {
let duration = outcome.started_at.elapsed();
let tool_input = outcome.input.clone();
let tool_name_for_ws = outcome.name.clone();
let mut tool_call =
TurnToolCall::new(outcome.id.clone(), outcome.name.clone(), outcome.input);
let should_stop_this_turn =
should_stop_after_plan_tool(mode, &outcome.name, &outcome.result);
match outcome.result {
Ok(output) => {
match loop_guard.record_outcome(&outcome.name, output.success) {
OutcomeDecision::Continue => {}
OutcomeDecision::Warn(message) => {
crate::logging::warn(message.clone());
let _ = self.tx_event.send(Event::status(message)).await;
}
OutcomeDecision::Halt(message) => {
loop_guard_halt.get_or_insert(message);
}
}
emit_tool_audit(json!({
"event": "tool.result",
"tool_id": outcome.id.clone(),
"tool_name": outcome.name.clone(),
"success": output.success,
}));
let output_for_context = compact_tool_result_for_context(
&self.session.model,
&outcome.name,
&output,
);
let tool_was_executed = output
.metadata
.as_ref()
.and_then(|metadata| metadata.get("executed"))
.and_then(serde_json::Value::as_bool)
.unwrap_or(true);
let output_content = output.content;
tool_call.set_result(output_content.clone(), duration);
self.session.working_set.observe_tool_call(
&tool_name_for_ws,
&tool_input,
Some(&output_for_context),
&self.session.workspace,
);
// #136: post-edit LSP diagnostics hook. We only run
// this on success — failed edits leave the file
// untouched, so polling for diagnostics would just
// surface stale state.
if output.success && tool_was_executed {
self.run_post_edit_lsp_hook(&outcome.name, &tool_input)
.await;
}
self.add_session_message(Message {
role: "user".to_string(),
content: vec![ContentBlock::ToolResult {
tool_use_id: outcome.id,
content: output_for_context,
is_error: None,
content_blocks: None,
}],
})
.await;
}
Err(e) => {
match loop_guard.record_outcome(&outcome.name, false) {
OutcomeDecision::Continue => {}
OutcomeDecision::Warn(message) => {
crate::logging::warn(message.clone());
let _ = self.tx_event.send(Event::status(message)).await;
}
OutcomeDecision::Halt(message) => {
loop_guard_halt.get_or_insert(message);
}
}
let envelope: ErrorEnvelope = e.clone().into();
emit_tool_audit(json!({
"event": "tool.result",
"tool_id": outcome.id.clone(),
"tool_name": outcome.name.clone(),
"success": false,
"error": e.to_string(),
"category": envelope.category.to_string(),
"severity": envelope.severity.to_string(),
}));
step_error_count += 1;
step_error_categories.push(envelope.category);
let error = format_tool_error(&e, &outcome.name);
tool_call.set_error(error.clone(), duration);
self.session.working_set.observe_tool_call(
&tool_name_for_ws,
&tool_input,
Some(&error),
&self.session.workspace,
);
self.add_session_message(Message {
role: "user".to_string(),
content: vec![ContentBlock::ToolResult {
tool_use_id: outcome.id,
content: format!("Error: {error}"),
is_error: Some(true),
content_blocks: None,
}],
})
.await;
}
}
turn.record_tool_call(tool_call);
stop_after_plan_tool |= should_stop_this_turn;
}
if stop_after_plan_tool {
break;
}
if let Some(message) = loop_guard_halt {
crate::logging::warn(message.clone());
let _ = self.tx_event.send(Event::status(message)).await;
break;
}
if self
.run_capacity_post_tool_checkpoint(
turn,
mode,
tool_registry,
tool_exec_lock.clone(),
mcp_pool.clone(),
step_error_count,
consecutive_tool_error_steps,
)
.await
{
turn.next_step();
continue;
}
if !pending_steers.is_empty() {
for steer in pending_steers.drain(..) {
self.session
.working_set
.observe_user_message(&steer, &self.session.workspace);
self.add_session_message(self.user_text_message_with_turn_metadata(steer))
.await;
}
}
if step_error_count > 0 {
consecutive_tool_error_steps = consecutive_tool_error_steps.saturating_add(1);
} else {
consecutive_tool_error_steps = 0;
}
if self
.run_capacity_error_escalation_checkpoint(
turn,
mode,
step_error_count,
consecutive_tool_error_steps,
&step_error_categories,
)
.await
{
turn.next_step();
continue;
}
turn.next_step();
}
if self.cancel_token.is_cancelled() {
return (TurnOutcomeStatus::Interrupted, None);
}
if let Some(err) = turn_error {
return (TurnOutcomeStatus::Failed, Some(err));
}
(TurnOutcomeStatus::Completed, None)
}
pub(super) fn messages_with_turn_metadata(&self) -> Vec<Message> {
// `<turn_meta>` is stored on user-text messages when the message is
// appended. Do not rewrite historical messages at request time: doing
// so makes the API prefix differ from the bytes sent in earlier turns
// and destroys DeepSeek's KV prefix cache reuse.
self.session.messages.clone()
}
}
fn subagent_completion_runtime_message(payload: &str) -> Message {
// Role is "user", not "system": some OpenAI-compatible backends apply a
// strict chat template (e.g. vLLM serving Qwen3) that requires any system
// message to be messages[0]. A system message appended mid-conversation
// makes the template raise "System message must be at the beginning",
// which surfaces as a 400 BadRequest and breaks the whole sub-agent
// hand-off in the parent turn. The `visibility="internal"` tag already
// tells the model this is a runtime event rather than user input, so the
// role carries no semantic weight here — only template-compatibility cost.
Message {
role: "user".to_string(),
content: vec![ContentBlock::Text {
text: format!(
"<codewhale:runtime_event kind=\"subagent_completion\" visibility=\"internal\">\n\
This is an internal runtime event, not user input. Use the sub-agent completion \
data below to continue coordinating the current task. Do not tell the user they \
pasted sentinels, do not explain the sentinel protocol, and do not quote the raw \
XML unless the user explicitly asks to debug sub-agent internals.\n\n\
{payload}\n\
</codewhale:runtime_event>"
),
cache_control: None,
}],
}
}
fn should_hold_turn_for_subagents(queued_completions: usize, running_children: usize) -> bool {
queued_completions > 0 || running_children > 0
}
/// Issue #1727: decide whether to surface a "thinking-only, no output" status.
///
/// Reached when the assistant turn had no sendable content (no Text, no
/// ToolUse — only a reasoning/thinking block). We notify the user *only* when
/// the turn is genuinely finishing: no tool uses to dispatch, no `turn_error`
/// already surfaced for this turn, the request wasn't cancelled, AND the turn
/// is not about to CONTINUE — there are no pending steers and we are not
/// holding the turn open for running sub-agents. The status must fire at the
/// point the turn truly ends; emitting it earlier (at the persist site) would
/// show a spurious "turn ended" notice immediately before the turn resumed
/// for a steer or a sub-agent completion.
fn should_emit_thinking_only_status(
tool_uses_empty: bool,
turn_error_is_none: bool,
cancelled: bool,
steers_pending: bool,
holding_for_subagents: bool,
) -> bool {
tool_uses_empty && turn_error_is_none && !cancelled && !steers_pending && !holding_for_subagents
}
/// Resolve an `"auto"` reasoning-effort tier to a concrete value.
///
/// When the configured effort is `"auto"`, inspects the last user message
/// and calls [`crate::auto_reasoning::select`] to pick the actual tier.
/// Non-`"auto"` values pass through unchanged.
fn resolve_auto_effort(reasoning_effort: Option<&str>, messages: &[Message]) -> Option<String> {
match reasoning_effort {
Some("auto") => {
// Find the last user message in the conversation.
let last_msg = messages
.iter()
.rev()
.find(|m| m.role == "user")
.map(|m| {
m.content
.iter()
.filter_map(|block| {
if let ContentBlock::Text { text, .. } = block {
if is_turn_metadata_text(text) {
None
} else {
Some(text.as_str())
}
} else {
None
}
})
.collect::<Vec<&str>>()
.join(" ")
})
.unwrap_or_default();
// is_subagent is false here — handle_deepseek_turn runs in the
// main engine (not a sub-agent's inner loop). Sub-agents have
// their own turn pass and can pass is_subagent=true when they
// call this function directly.
let tier = crate::auto_reasoning::select(false, &last_msg);
let resolved = tier.as_setting().to_string();
tracing::debug!(
reasoning_effort = %resolved,
is_subagent = false,
"auto_reasoning: resolved auto tier from user message"
);
Some(resolved)
}
Some(other) => Some(other.to_string()),
None => None,
}
}
fn is_turn_metadata_text(text: &str) -> bool {
text.trim_start().starts_with("<turn_meta>")
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn subagent_completion_handoff_is_internal_user_message() {
let message = subagent_completion_runtime_message(
"Build passed\n<codewhale:subagent.done>{\"agent_id\":\"agent_a\"}</codewhale:subagent.done>",
);
// Must be "user", not "system": a system message appended mid-stream
// trips strict chat templates (vLLM/Qwen3) into a 400 BadRequest
// ("System message must be at the beginning"). The internal-event
// framing lives in the text + visibility tag, not the role.
assert_eq!(message.role, "user");
let text = match &message.content[0] {
ContentBlock::Text { text, .. } => text,
other => panic!("expected text block, got {other:?}"),
};
assert!(text.contains("internal runtime event, not user input"));
assert!(text.contains("Do not tell the user they pasted sentinels"));
assert!(text.contains("<codewhale:subagent.done>"));
assert!(text.contains("Build passed"));
}
#[test]
fn turn_holds_open_for_running_or_completed_subagents() {
assert!(should_hold_turn_for_subagents(1, 0));
assert!(should_hold_turn_for_subagents(0, 1));
assert!(!should_hold_turn_for_subagents(0, 0));
}
/// Regression test for issue #1727 (P0, release-blocking).
///
/// When a model (e.g. gpt-oss via ollama's harmony→OpenAI shim) returns
/// ONLY a reasoning/thinking block — empty `content`, no `tool_calls` —
/// `has_sendable_assistant_content` is false, so no assistant message is
/// persisted. Previously the code also emitted NO event and fell straight
/// through to finishing the turn: the UI spinner stayed up forever with no
/// error, looking hung.
///
/// This pins the decision: a clean turn end (no tool uses to dispatch, no
/// `turn_error`, not cancelled, no pending steers, not holding for
/// sub-agents) must surface a status. We must NOT spam the status when the
/// turn is ending for another reason (error already shown, cancelled),
/// when there are tool uses still to dispatch, or — critically (the
/// MEDIUM review finding) — when the turn is about to CONTINUE because a
/// steer is pending or sub-agents are still running. Emitting at the old
/// persist site fired before those continuations were known.
///
/// Limitation: this tests the extracted pure decision, not the full async
/// `handle_deepseek_turn` loop (driving it would need a mock DeepSeek
/// client + session + channels — far beyond a surgical fix and unlike any
/// existing turn-loop test, which all pin pure helpers the same way). The
/// wiring at the `tool_uses.is_empty()` tail (capture-then-decide, with the
/// live steer/sub-agent signals) is reviewed by inspection — consistent
/// with how the other turn-loop helpers in this module are tested.
#[test]
fn thinking_only_turn_emits_status_only_on_clean_end() {
// Thinking-only response, turn genuinely ending (no tool uses, no
// error, not cancelled, no steers pending, not holding for
// sub-agents) → surface a status so the user isn't left staring at a
// hung spinner.
assert!(should_emit_thinking_only_status(
true, true, false, false, false
));
// Tool uses still pending → the normal dispatch path handles it; no
// thinking-only status.
assert!(!should_emit_thinking_only_status(
false, true, false, false, false
));
// A turn_error was already surfaced → don't double-report.
assert!(!should_emit_thinking_only_status(
true, false, false, false, false
));
// Request was cancelled → cancellation status already covers it.
assert!(!should_emit_thinking_only_status(
true, true, true, false, false
));
// A steer is pending → the turn will resume with the steer; emitting
// "turn ended" now would be a spurious notice right before the turn
// continues (the MEDIUM correctness finding).
assert!(!should_emit_thinking_only_status(
true, true, false, true, false
));
// Sub-agents are still running / completions queued → the turn is
// held open and will resume; do not claim it ended.
assert!(!should_emit_thinking_only_status(
true, true, false, false, true
));
}
/// Regression test for the OpenAI streaming batch tool_calls bug.
///
/// Background: when an OpenAI-compatible backend (vLLM, Ollama, LM Studio,
/// etc.) streams a response containing multiple `tool_calls` in the same
/// assistant message, the streaming parser emits the events in this order:
///
/// ```text
/// ContentBlockStart::ToolUse { index: 0, .. } // tool #1
/// ContentBlockDelta { index: 0, .. } // its arguments
/// ContentBlockStart::ToolUse { index: 1, .. } // tool #2
/// ContentBlockDelta { index: 1, .. }
/// …
/// ContentBlockStart::ToolUse { index: N-1, .. }
/// ContentBlockDelta { index: N-1, .. }
/// ContentBlockStop { index: 0 } // ── only flushed at
/// ContentBlockStop { index: 1 } // finish_reason
/// … // (see chat.rs
/// ContentBlockStop { index: N-1 } // L2050-L2064)
/// ```
///
/// All Starts arrive before any Stop. The fix replaces the single
/// `current_tool_index: Option<usize>` slot (overwritten by each Start)
/// with a `HashMap<u32 block_index, usize tool_uses_idx>` that survives
/// every Start and routes each Stop to the right `tool_uses` entry.
///
/// This test confirms the invariant: feed 7 Starts then 7 Stops, expect
/// all 7 indices to come back out in order.
#[test]
fn batch_tool_calls_preserve_all_tool_use_indices() {
let mut current_tool_indices: std::collections::HashMap<u32, usize> =
std::collections::HashMap::new();
// Simulate `ContentBlockStart::ToolUse { index: i }` for 7 tools.
for block_index in 0..7u32 {
current_tool_indices.insert(block_index, block_index as usize);
}
assert_eq!(current_tool_indices.len(), 7);
// Now drain via `ContentBlockStop { index: i }` in the same order.
let mut recovered: Vec<(u32, usize)> = (0..7u32)
.map(|block_index| {
let tool_idx = current_tool_indices
.remove(&block_index)
.expect("each block_index must route to a tool_uses entry");
(block_index, tool_idx)
})
.collect();
recovered.sort_by_key(|(block_index, _)| *block_index);
let expected: Vec<(u32, usize)> = (0..7u32).map(|i| (i, i as usize)).collect();
assert_eq!(
recovered, expected,
"every Stop must recover the tool_uses index pushed by its matching Start"
);
assert!(
current_tool_indices.is_empty(),
"all entries must drain after their Stops"
);
}
#[test]
fn loop_guard_block_tool_result_counts_as_failure() {
let result = loop_guard_block_tool_result("Blocked: repeated call".to_string());
assert!(
!result.success,
"LoopGuard blocks must count as tool failures so repeated blocked calls can trip halt handling"
);
assert_eq!(
result
.metadata
.as_ref()
.and_then(|m| m.get("loop_guard"))
.and_then(|v| v.as_str()),
Some("identical_tool_call")
);
}
#[test]
fn resolve_auto_effort_ignores_stored_turn_metadata() {
let messages = vec![Message {
role: "user".to_string(),
content: vec![
ContentBlock::Text {
text: "<turn_meta>\nRecent errors: src/failing.rs\n</turn_meta>".to_string(),
cache_control: None,
},
ContentBlock::Text {
text: "hello".to_string(),
cache_control: None,
},
],
}];
assert_eq!(
resolve_auto_effort(Some("auto"), &messages),
Some("high".to_string()),
"auto thinking should classify the user request, not stored metadata"
);
}
}