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//! Projection of Core agent events into semantic TUI state.
use super::*;
impl App {
fn on_llm_turn_start(&mut self, turn: usize) {
if let Some(checkpoint) = self
.llm_turn_checkpoint
.as_ref()
.filter(|checkpoint| checkpoint.turn == turn)
.cloned()
{
self.rollback_llm_turn_attempt(checkpoint);
return;
}
self.llm_turn_checkpoint = Some(LlmTurnUiCheckpoint {
turn,
transcript_len: self.messages.len(),
streaming: self.streaming.clone(),
thinking: self.thinking.clone(),
turn_text: self.turn_text.clone(),
got_delta: self.got_delta,
turn_had_agent_activity: self.turn_had_agent_activity,
turn_text_after_activity: self.turn_text_after_activity,
runtime_tools: self.runtime.checkpoint_tools(),
report_tools: self.deep_research_report_tools.clone(),
});
}
fn rollback_llm_turn_attempt(&mut self, checkpoint: LlmTurnUiCheckpoint) {
self.messages.truncate(checkpoint.transcript_len);
self.streaming = checkpoint.streaming;
self.thinking = checkpoint.thinking;
self.turn_text = checkpoint.turn_text;
self.got_delta = checkpoint.got_delta;
self.turn_had_agent_activity = checkpoint.turn_had_agent_activity;
self.turn_text_after_activity = checkpoint.turn_text_after_activity;
self.runtime.restore_tools(checkpoint.runtime_tools);
self.deep_research_report_tools = checkpoint.report_tools;
self.last_paint = None;
self.relayout();
self.rebuild_viewport();
}
pub(super) fn on_agent_event(&mut self, event: AgentEvent) -> Option<Cmd<Msg>> {
// After an interrupt, rx is cleared — ignore any late buffered events.
self.rx.as_ref()?;
if self.interrupting {
return None;
}
capture_host_dynamic_workflow_call_id(
self.host_progress_inflight,
&mut self.host_tool_call_id,
&event,
);
match event {
AgentEvent::TurnStart { turn } => {
self.on_llm_turn_start(turn);
}
AgentEvent::TextDelta { text } => {
self.mark_assistant_text(&text);
self.got_delta = true;
self.turn_text.push_str(&text);
if self.deep_research_loop.is_some()
&& self.deep_research_report_tool_gate.finalization_only()
{
return self.rx.clone().map(pump);
}
if self.streaming.push(&text) {
self.streaming.commit_catch_up_tick(Instant::now());
self.update_viewport_with_stream();
}
}
AgentEvent::ReasoningDelta { text } => {
self.thinking.push_str(&text);
self.update_viewport_with_stream();
}
AgentEvent::ToolStart { id, name } => {
let delay_report_tool = self.should_delay_deep_research_report_tool();
let transcript_visible = presentation_policy(&name).transcript_visible();
self.mark_agent_activity();
// A tool event is an authoritative transcript boundary. Seal
// the assistant segment even when its last Markdown construct
// is incomplete; later text belongs to a new assistant entry.
self.finalize_streaming();
self.messages.start_tool(
id.clone(),
name.clone(),
!delay_report_tool && transcript_visible,
);
if delay_report_tool {
self.deep_research_report_tools.start(id, name);
return self.rx.clone().map(pump);
}
self.runtime.prepare_tool(id, name);
self.update_viewport_with_stream();
}
AgentEvent::ToolInputDelta { id, delta } => {
self.messages.push_tool_input(id.as_deref(), &delta);
if self
.deep_research_report_tools
.push_input(id.as_deref(), &delta)
{
return self.rx.clone().map(pump);
}
self.runtime.push_tool_input(id.as_deref(), &delta);
let update_plan_args = id.as_deref().and_then(|id| {
let tool = self.runtime.tool(id)?;
(presentation_policy(&tool.name) == ToolPresentationPolicy::PinnedOnly)
.then(|| tool.args())
.flatten()
});
if let Some(args) = update_plan_args {
self.apply_update_plan_args(&args);
}
self.update_viewport_with_stream();
}
AgentEvent::ToolExecutionStart { id, name, args } => {
let delay_report_tool = self.should_delay_deep_research_report_tool();
if self.deep_research_report_tools.set_args(
&id,
name.clone(),
args.clone(),
delay_report_tool,
) {
self.messages.start_tool_execution(id, name, args, false);
return self.rx.clone().map(pump);
}
self.mark_agent_activity();
let policy = presentation_policy(&name);
if policy == ToolPresentationPolicy::PinnedOnly {
self.apply_update_plan_args(&args);
}
self.messages.start_tool_execution(
id.clone(),
name.clone(),
args.clone(),
policy.transcript_visible(),
);
self.runtime.start_execution(id, name, args);
self.update_viewport_with_stream();
}
AgentEvent::ToolOutputDelta { id, name, delta } => {
let delay_report_tool = self.should_delay_deep_research_report_tool();
if self.deep_research_report_tools.push_output_or_start(
id.clone(),
name.clone(),
&delta,
delay_report_tool,
) {
self.messages.push_tool_output(&id, name, &delta, false);
return self.rx.clone().map(pump);
}
self.messages.push_tool_output(
&id,
name.clone(),
&delta,
presentation_policy(&name).transcript_visible(),
);
self.runtime.push_tool_output(&id, name, &delta);
if let Some(output) = self.runtime.tool(&id).map(|tool| tool.output().to_string()) {
if let Some(spec) = self.find_remote_view_spec(&output) {
self.remember_remote_view(spec);
}
}
self.update_viewport_with_stream();
}
AgentEvent::ToolEnd {
id,
name,
args,
output,
exit_code,
metadata,
..
} => {
let delay_report_tool = self.should_delay_deep_research_report_tool();
if let Some(delayed) = self.deep_research_report_tools.take_or_synthetic(
&id,
name.clone(),
args.clone(),
delay_report_tool,
) {
let args = delayed.args();
let display_output = if output.is_empty() {
delayed.output
} else {
output
};
if suppress_deep_research_report_phase_tool_output(
&delayed.name,
&display_output,
args.as_ref(),
) {
self.messages.discard_tool(&id);
return self.rx.clone().map(pump);
}
self.mark_agent_activity();
let policy = presentation_policy(&delayed.name);
if policy == ToolPresentationPolicy::PinnedOnly {
if let Some(args) = args.as_ref() {
self.apply_update_plan_args(args);
}
}
let completed = self.runtime.end_tool(
&id,
delayed.name.clone(),
args.clone(),
display_output.clone(),
exit_code,
);
if policy == ToolPresentationPolicy::PinnedOnly {
self.messages.discard_tool(&id);
} else {
self.messages.finish_tool_with_state(
&id,
delayed.name.clone(),
completed.args.clone(),
completed.output.clone(),
completed.exit_code,
metadata,
completed.state,
true,
);
}
self.rebuild_viewport();
self.record_runtime_tool_evidence(&delayed.name);
if completed.first_terminal {
self.capture_workflow(&delayed.name, completed.args.as_ref());
}
if let Some(spec) = self.find_remote_view_spec(&display_output) {
self.remember_remote_view(spec);
}
if let Some(cmd) = self.stop_deep_research_synthesis_if_report_ready() {
return Some(cmd);
}
return self.rx.clone().map(pump);
}
self.mark_agent_activity();
if presentation_policy(&name) == ToolPresentationPolicy::PinnedOnly {
if let Some(args) = args.as_ref() {
self.apply_update_plan_args(args);
}
}
let completed = self.runtime.end_tool(
&id,
name.clone(),
args.clone(),
output.clone(),
exit_code,
);
if presentation_policy(&name) == ToolPresentationPolicy::PinnedOnly {
self.messages.discard_tool(&id);
} else {
self.messages.finish_tool_with_state(
&id,
name.clone(),
completed.args.clone().or(args),
completed.output.clone(),
completed.exit_code,
metadata,
completed.state,
true,
);
}
self.rebuild_viewport();
self.record_runtime_tool_evidence(&name);
if completed.first_terminal {
self.capture_workflow(&name, completed.args.as_ref());
}
if let Some(spec) = self.find_remote_view_spec(&output) {
self.remember_remote_view(spec);
}
if let Some(cmd) = self.stop_deep_research_synthesis_if_report_ready() {
return Some(cmd);
}
}
// Parallel/child task lifecycle (parallel_task, task) — show each
// sub-task starting, its progress, and how it finished.
AgentEvent::SubagentStart {
task_id,
agent,
description,
started_ms,
..
} => {
self.mark_agent_activity();
self.finalize_streaming();
self.record_runtime_parallel_evidence();
let journal_cmd = self
.deep_research_loop
.is_some()
.then(|| {
self.record_deep_research_child_event_cmd(
task_id.clone(),
true,
serde_json::json!({
"task_id": task_id,
"agent": agent,
"description": description,
"started_ms": started_ms,
}),
)
})
.flatten();
// Track it in the live bottom panel instead of a transcript line.
let first_start = self.runtime.start_subagent(
task_id.clone(),
agent.clone(),
description.clone(),
instant_from_epoch_ms(started_ms),
);
self.relayout();
if first_start && self.runtime.subagent_needs_completion_watch(&task_id) {
let generation = self.session_rebuild_seq;
self.background_subagent_watches
.insert((generation, task_id.clone()));
let mut commands = vec![watch_background_subagent(
self.session.clone(),
self.session_id.clone(),
generation,
task_id,
)];
if let Some(journal_cmd) = journal_cmd {
commands.push(journal_cmd);
} else if let Some(rx) = self.rx.clone() {
commands.push(pump(rx));
}
return Some(cmd::batch(commands));
}
if journal_cmd.is_some() {
return journal_cmd;
}
}
AgentEvent::SubagentProgress {
task_id, metadata, ..
} => {
self.mark_agent_activity();
self.runtime.record_subagent_progress(&task_id, &metadata);
// Per-child OUTPUT tokens for the panel's `↓`. Each child turn-end
// reports that turn's completion_tokens once, so SUM them across
// turns (tool-event progress carries no usage, so it won't add).
// The old code took max(total_tokens), i.e. the largest single
// turn's prompt+completion ≈ the child's context size, not output.
let toks = metadata
.get("completion_tokens")
.or_else(|| metadata.pointer("/usage/completion_tokens"))
.and_then(|v| v.as_u64());
if let Some(t) = toks {
self.runtime.add_subagent_tokens(&task_id, t);
}
self.refresh_transcript_view();
}
AgentEvent::SubagentEnd {
task_id,
agent,
output,
success,
finished_ms,
..
} => {
self.mark_agent_activity();
let journal_cmd = self
.deep_research_loop
.is_some()
.then(|| {
self.record_deep_research_child_event_cmd(
task_id.clone(),
false,
serde_json::json!({
"task_id": task_id,
"agent": agent,
"success": success,
"finished_ms": finished_ms,
}),
)
})
.flatten();
let completed = self.runtime.end_subagent(
task_id,
agent,
output,
success,
instant_from_epoch_ms(finished_ms),
);
self.push_subagent_completion(completed);
if journal_cmd.is_some() {
return journal_cmd;
}
}
AgentEvent::ContextCompacted {
before_messages,
after_messages,
percent_before,
..
} => {
// The core auto-compacted mid-turn (pruned tool outputs + summarized
// old messages). Core commits the compacted generation to the
// durable session and re-arms itself for later cycles. Reset the
// displayed fill until the next authoritative TurnEnd usage.
self.output_tokens = 0;
self.last_prompt_tokens = 0;
self.ctx_warned_tier = 0;
// Only surface real message-count reductions. Prune-only rounds
// (equal count, smaller content) remain quiet to avoid noise.
if after_messages < before_messages {
// Core calculates this against the active model's context
// window, so it matches the footer without rescaling.
let pct = (percent_before * 100.0).round().clamp(0.0, 100.0) as u32;
self.push_notice(
NoticeKind::Info,
format!(
"Context auto-compacted at {pct}% · {before_messages} → {after_messages} messages"
),
);
}
}
AgentEvent::ConfirmationRequired {
tool_id,
tool_name,
args,
..
} => {
self.runtime
.await_approval(tool_id.clone(), tool_name.clone(), args.clone());
if presentation_policy(&tool_name) == ToolPresentationPolicy::PinnedOnly {
self.messages.start_tool_execution(
tool_id.clone(),
tool_name.clone(),
args.clone(),
false,
);
} else {
self.messages.await_tool_approval(
tool_id.clone(),
tool_name.clone(),
args.clone(),
);
}
self.update_viewport_with_stream();
if self.mode.auto_approves_confirmation() {
// Silent: the mode indicator already shows auto-approve is on;
// a line per tool is just noise. Do NOT start another
// spinner_tick here — the turn's tick loop is already running
// (state stays Streaming through auto-approval). Stacking one
// per auto-approved tool made the spinner advance several
// frames per 80ms = the speed-up / slow-down cadence.
let session = self.session.clone();
return Some(cmd::cmd(move || async move {
let _ = session.confirm_tool_use(&tool_id, true, None).await;
Msg::Resume
}));
}
// Claude-style: no "requests:" transcript line — the prompt on
// the activity line shows the tool; after approval the tool just
// runs and its result lands via ToolEnd.
let was_empty = self.pending_tools.is_empty();
self.state = State::Awaiting;
let label = tool_approval_label(&tool_name, Some(&args));
self.pending_tools.push_back((tool_id, label));
if was_empty {
self.approval_sel = 0;
}
// Keep one pump parked on the event stream while awaiting input:
// the confirmation can also resolve by timeout or an external
// provider, and those events must clear the overlay.
return self.rx.clone().map(pump);
}
AgentEvent::ConfirmationReceived {
tool_id,
approved,
reason,
} => {
let pending = take_pending_tool_label(&mut self.pending_tools, &tool_id);
if !approved {
let reason = reason
.filter(|value| !value.trim().is_empty())
.unwrap_or_else(|| "Denied by user.".to_string());
if let Some((name, args)) = self
.runtime
.tool(&tool_id)
.map(|tool| (tool.name.clone(), tool.args()))
{
let completed = self.runtime.deny_tool(&tool_id, name, args, reason);
self.push_terminal_tool(completed);
}
}
if pending.as_ref().is_some_and(|(_, was_front)| *was_front) {
self.approval_sel = 0;
}
if pending.is_some() && self.pending_tools.is_empty() {
self.state = State::Streaming;
return Some(self.resume_after_pending_confirmation());
}
}
AgentEvent::ConfirmationTimeout {
tool_id,
action_taken,
} => {
let pending = take_pending_tool_label(&mut self.pending_tools, &tool_id);
if let Some(completed) = self.runtime.timeout_tool(&tool_id, &action_taken) {
self.push_terminal_tool(completed);
}
if pending.as_ref().is_some_and(|(_, was_front)| *was_front) {
self.approval_sel = 0;
}
if pending.is_some() && self.pending_tools.is_empty() {
self.state = State::Streaming;
return Some(self.resume_after_pending_confirmation());
}
}
AgentEvent::PermissionDenied {
tool_id,
tool_name,
args,
reason,
} => {
self.deep_research_report_tools.remove(&tool_id);
let completed = self.runtime.deny_tool(
&tool_id,
tool_name,
Some(args),
format!("Permission denied: {reason}"),
);
self.push_terminal_tool(completed);
}
// Live context fill: every LLM round-trip reports its prompt size,
// so ctx% (and the fill warnings) track DURING long multi-tool
// turns instead of freezing until End.
AgentEvent::TurnEnd { usage, .. } => {
self.llm_turn_checkpoint = None;
if usage.prompt_tokens > 0 {
self.last_prompt_tokens = usage.prompt_tokens;
self.maybe_warn_ctx();
}
}
AgentEvent::End {
text, usage, meta, ..
} => {
let mut review_text = if text.is_empty() {
self.turn_text.clone()
} else {
text.clone()
};
let deep_research_query = self
.deep_research_loop
.as_ref()
.map(|state| state.query.clone());
let deep_research_buffered_output = self.deep_research_loop.is_some()
&& self.deep_research_report_tool_gate.finalization_only();
let deep_research_repair_phase = self.deep_research_report_repair_used;
let workflow_output_for_validation = self
.deep_research_workflow
.output
.clone()
.unwrap_or_default();
let workflow_metadata_for_validation = self.deep_research_workflow.metadata.clone();
let deep_research_artifacts = deep_research_query.as_deref().and_then(|query| {
let baseline = self.deep_research_workflow.report_baseline.as_ref()?;
deep_research_report_artifacts_from_output_for_current_run(
&review_text,
Path::new(&self.cwd),
query,
&workflow_output_for_validation,
workflow_metadata_for_validation.as_ref(),
baseline,
)
});
if self.deep_research_loop.is_some()
&& deep_research_output_has_internal_leak(&review_text)
{
if let Some(clean_text) =
deep_research_artifacts.as_ref().and_then(|artifacts| {
clean_deep_research_final_text_from_artifacts(
artifacts,
Path::new(&self.cwd),
)
})
{
review_text = clean_text;
self.streaming.clear();
self.turn_text.clear();
self.streaming.push(&review_text);
self.turn_text.push_str(&review_text);
self.mark_assistant_text(&review_text);
}
}
let deep_research_dirty_output = self.deep_research_loop.is_some()
&& deep_research_output_has_internal_leak(&review_text);
if deep_research_buffered_output
&& !deep_research_dirty_output
&& !review_text.trim().is_empty()
{
self.streaming.clear();
self.turn_text.clear();
self.streaming.push(&review_text);
self.turn_text.push_str(&review_text);
self.mark_assistant_text(&review_text);
}
let deep_research_missing_report = deep_research_report_is_missing_since(
self.deep_research_loop.is_some(),
self.deep_research_outcome.report_ready(),
deep_research_query.as_deref(),
&review_text,
Path::new(&self.cwd),
&workflow_output_for_validation,
workflow_metadata_for_validation.as_ref(),
self.deep_research_workflow.report_baseline.as_ref(),
) || deep_research_dirty_output;
if deep_research_missing_report {
self.deep_research_outcome = DeepResearchRunOutcome::Active;
self.pending_deep_research_report_view = None;
}
// /loop: stop once the agent signals completion (the word DONE).
// Not during /sleep: its completion signal is the a3s-sleep
// report itself, and consolidation narration ("what was done
// today") would false-trigger this and end the run early.
if self.loop_remaining > 0 && !self.sleep_pending && !deep_research_missing_report {
let r = review_text.clone();
if r.split(|c: char| !c.is_alphabetic())
.any(|w| w.eq_ignore_ascii_case("done"))
{
self.loop_remaining = 0;
}
}
// Asset review scans the WHOLE turn's text: with a delta-only
// provider a tool call after the report would have cleared the
// live buffer, losing a fully delivered report.
// Only fall back to End.text when the provider never streamed
// deltas this turn. Using the live buffer's emptiness here dups
// text: a mid-turn finalize (e.g. a tool call) empties the buffer,
// so End.text (the full message) would be appended a second time.
if !self.got_delta && !text.is_empty() {
self.mark_assistant_text(&text);
self.streaming.push(&text);
}
if deep_research_dirty_output {
self.streaming.clear();
self.turn_text.clear();
self.push_line(&Style::new().fg(TN_YELLOW).render(
" ⚠ DeepResearch synthesis contained internal workflow/tool logs; discarding that draft and running a clean repair pass…",
));
} else if self.deep_research_loop.is_some()
&& !deep_research_repair_phase
&& !review_text.trim().is_empty()
{
self.deep_research_workflow.last_synthesis_text = Some(review_text.clone());
}
self.finalize_streaming();
// Asset code review: a ```a3s-review report in the final message
// ends the review loop and opens the issue checklist.
self.capture_review(&review_text);
// `/sleep`: an ```a3s-sleep report ends the consolidation loop
// and persists the distilled memories (async, batched below).
let sleep_save = self.capture_sleep(&review_text);
if !deep_research_dirty_output {
self.capture_research_report_view(&review_text);
}
if deep_research_missing_report {
let fallback_query = self
.deep_research_loop
.as_ref()
.map(|state| state.query.clone());
let workflow_output = self
.deep_research_workflow
.output
.as_deref()
.unwrap_or_default()
.to_string();
let workflow_metadata = self.deep_research_workflow.metadata.clone();
let completed_outcome = fallback_query.as_deref().map(|query| {
let evidence_scope = self
.deep_research_workflow
.args
.as_ref()
.map(|args| deep_research_evidence_scope_from_args(args, query))
.unwrap_or_default();
deep_research_report_outcome_for_workflow(
query,
evidence_scope,
&workflow_output,
workflow_metadata.as_ref(),
)
});
match recover_missing_deep_research_report(
Path::new(&self.cwd),
fallback_query.as_deref(),
&review_text,
&workflow_output,
workflow_metadata.as_ref(),
&mut self.loop_remaining,
&mut self.deep_research_report_repair_used,
) {
DeepResearchReportRecovery::CompletedMaterialized { artifacts } => {
self.stage_deep_research_report(
&artifacts,
completed_outcome.unwrap_or(DeepResearchRunOutcome::Completed),
);
self.push_line(&Style::new().fg(TN_GREEN).render(&format!(
" ✓ DeepResearch report validated and rendered at {}",
artifacts.html.display()
)));
}
DeepResearchReportRecovery::RecoveryMaterialized { artifacts } => {
self.stage_deep_research_report(
&artifacts,
DeepResearchRunOutcome::Degraded,
);
self.push_line(&Style::new().fg(TN_YELLOW).render(&format!(
" ⚠ DeepResearch evidence was insufficient; wrote an explicit low-confidence recovery report at {}",
artifacts.html.display()
)));
}
DeepResearchReportRecovery::RepairPassArmed => {
self.pending_deep_research_report_repair_prompt =
deep_research_report_repair_prompt_from_state(
self.deep_research_loop.as_ref(),
&workflow_output,
workflow_metadata.as_ref(),
&review_text,
);
self.push_line(&Style::new().fg(TN_YELLOW).render(
" ⚠ DeepResearch report is missing; running one focused repair pass…",
));
}
DeepResearchReportRecovery::Missing(message) => self.push_line(
&Style::new().fg(TN_YELLOW).render(&format!(" ⚠ {message}")),
),
}
}
self.disarm_sleep_if_over(sleep_save.is_some());
// `↓` counts OUTPUT (generated) tokens. Summing total_tokens per
// turn re-counts the whole context every turn (the prompt is
// re-sent each round) and balloons far past what was generated.
// completion_tokens is the output; fall back to total-prompt if a
// provider omits it.
self.output_tokens += if usage.completion_tokens > 0 {
usage.completion_tokens
} else {
usage.total_tokens.saturating_sub(usage.prompt_tokens)
};
// ctx% is NOT updated here: End.usage.prompt_tokens is the
// per-turn SUM of every round's prompt (the context is re-sent
// each round, same ballooning as above), not the current
// context size — a multi-round turn would read rounds× too
// high and fire false fill warnings. The TurnEnd arm already
// recorded the real per-round size, final round included.
if self.model.is_none() {
self.model = meta.and_then(|m| m.response_model.or(m.request_model));
}
// Count the turn, idle, then continue /loop or drain the queue.
// A captured sleep report's save runs alongside.
return match (sleep_save, self.complete_turn()) {
(Some(save), Some(next)) => Some(cmd::batch(vec![save, next])),
(save, next) => save.or(next),
};
}
AgentEvent::Error { message } => {
self.finalize_streaming();
self.preserve_interrupted_tools();
self.push_notice(NoticeKind::Error, &message);
if self.recover_deep_research_report_after_model_error(&message) {
return self.complete_turn();
}
self.loop_remaining = 0; // a failed turn stops the /loop
self.review_pending = false; // and abandons an asset review
self.sleep_pending = false; // and a `/sleep` consolidation
if self.goal_run.is_some() {
self.pending_goal_failure = Some(message);
} else {
self.restore_autonomy();
}
let completed_stream_join = self.stream_join.take();
self.finish();
if let Some(completed_stream_join) = completed_stream_join {
return Some(self.wait_for_completed_stream_join(completed_stream_join, None));
}
// Don't strand messages queued while this turn was running.
return self.continue_after_stream_settled(None);
}
AgentEvent::GoalExtracted { goal } => {
self.record_goal_extracted(&goal);
}
AgentEvent::GoalProgress { progress, .. } => {
self.record_goal_progress(progress);
}
AgentEvent::GoalAchieved { goal, .. } => {
self.record_goal_achieved(&goal);
}
// Planning mode: capture the plan and live task-status updates for
// the pinned TODO panel above the input.
AgentEvent::PlanningEnd { plan, .. } => {
self.mark_agent_activity();
self.set_plan(&plan.steps);
}
AgentEvent::TaskUpdated { tasks, .. } => {
self.mark_agent_activity();
self.set_plan(&tasks);
}
// Per-step lifecycle also drives the panel, in case TaskUpdated is
// sparse: a step turns ▶ on start and ✔/✗/⊘ on completion.
AgentEvent::StepStart { step_id, .. } => {
self.mark_agent_activity();
self.set_task_status(&step_id, a3s_code_core::planning::TaskStatus::InProgress);
}
AgentEvent::StepEnd {
step_id, status, ..
} => {
self.mark_agent_activity();
self.set_task_status(&step_id, status);
}
// TurnStart, ToolInputDelta, memory, confirmation echoes,
// etc. — not surfaced in this MVP.
_ => {}
}
// Keep draining the stream.
self.rx.clone().map(pump)
}
}