Add INCIDENT_RESPONSE_FRAMEWORK to domainPrompts.ts and append it to
all 17 domain prompts via getDomainPrompt(). Add system_prompt param
to chat_message command so frontend can inject domain expertise. Record
UTC timeline events (triage_started, log_uploaded, why_level_advanced,
root_cause_identified, rca_generated, postmortem_generated,
document_exported) at key moments with non-blocking calls.
Update tauriCommands.ts with getTimelineEventsCmd, optional metadata on
addTimelineEventCmd, and systemPrompt on chatMessageCmd.
12 new frontend tests (9 domain prompts, 3 timeline events).
- Triage: move close intent check before the currentIssue guard so closing
works even if the session hasn't fully initialized yet
- Triage: save the user's close reason as a resolution step via addFiveWhyCmd
before marking resolved, ensuring Resolution page is never empty
- App: read version from Tauri getVersion() instead of hardcoded v0.1.1
- db.rs: add get_issue_messages command (joins ai_conversations + ai_messages)
- tauriCommands.ts: fix updateIssueCmd to pass updates as nested object
(was spreading inline — Rust expects {issueId, updates}); fix addFiveWhyCmd
parameter names to match Rust (stepOrder, whyQuestion, answer, evidence);
add getIssueMessagesCmd and IssueMessage interface
- Dashboard: X button on each open issue row to close (mark resolved) inline
- Triage: restore conversation history from DB when revisiting existing issues;
detect close intent patterns and mark issue resolved + navigate home;
auto-save resolution step via addFiveWhyCmd when AI advances why level
- tests: add issueActions.test.ts covering IPC arg structure and close intent
- NewIssue navigates directly to /triage — log upload is never a blocker
- ChatWindow: paperclip button opens Tauri file dialog; pending files shown
as removable chips above the input; send enabled with files and no text
- Triage: uploads selected files via uploadLogFileCmd, reads text content
(capped at 8KB), appends file contents to AI message for context while
showing only filenames in the chat bubble
- Images/binary files are referenced by name with a prompt for the user
to describe them