Sweep of registered-but-never-invoked commands surfaced by an audit
against the frontend invoke() call sites. Each was confirmed dead via
grep across src-tauri, src, and crates: no caller anywhere.
Removed commands:
- check_model, count_transcripts_command, get_profile_cmd,
install_update, list_feedback_examples_cmd (utility/CRUD shapes
never wired)
- save_audio, start_native_capture, stop_native_capture (native-capture
path superseded by the live transcription session)
- transcribe_pcm, transcribe_pcm_parakeet (PCM commands superseded by
live session; no frontend caller)
- close_preview_window (preview window is hidden via the
core:window:allow-hide capability, not the command)
Cascade in audio.rs (~430 lines removed):
- CaptureWorker, NativeCaptureState struct + impl, stop_worker,
append_recorded_chunk, MAX_NATIVE_CAPTURE_RETURN_SAMPLES,
persist_audio_samples
- The two cfg(test) tests that exercised stop_worker (the
recording_filename tests stay, supporting resolve_recording_path
which the live session uses)
Cascade elsewhere:
- FeedbackDto struct and its From<FeedbackRow> impl
- Stale storage imports in feedback.rs, profiles.rs, transcripts.rs
- tauri::Emitter import in transcription.rs
- app.manage(NativeCaptureState::new()) in lib.rs setup
generate_handler entries removed for all 11 commands. cargo check passes
cleanly with zero warnings; no tests reference any deleted symbols.
Net: 709 deletions, 17 insertions across 9 files.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
transcribe_pcm and transcribe_pcm_parakeet did not check that their
respective engines were loaded before clone+spawn_blocking. transcribe_file
already calls ensure_model_loaded; these now mirror that posture with a
friendly error when the engine is unloaded, matching what
extract_content_tags_cmd does.
decompose_and_store and extract_tasks_from_transcript_cmd ran multi-second
LLM inference inside spawn_blocking without the PowerAssertion guard that
cleanup_transcript_text_cmd and extract_content_tags_cmd already use. Both
now begin a guard so the macOS App-Nap inhibitor (and the planned
Linux/Windows equivalents per KI-02, KI-03) can pin the process for the
duration of the inference.
HANDOVER.md gets a status note clarifying it captures Phase 9 state. The
schema head referenced (v14) was the head at session time; current head
is v15 (`idx_transcripts_profile_created` composite index) per the
architecture map.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replace all instances of the legacy product names "Kon" and "Corbie" with
"Magnotia" across user-facing copy, code identifiers, package names, bundle
ids, file paths, and documentation. Preserves the unrelated "konsole" (KDE
terminal) reference and the parent CORBEL company name.
- Renames 10 Rust crates (kon-* → magnotia-*) and the tauri binary
- Updates package.json, tauri.conf.json (productName + identifier)
- Renames CSS classes (kon-rh-* → magnotia-rh-*) and animations
- Renames brand and roadmap docs
- Regenerates Cargo.lock and package-lock.json
Verified: svelte-check passes; pure-rust crates compile under new names.
Two new Settings → AI knobs that compose cleanly with what already
shipped (aiTier, LLM model, translator prompt framing).
**B.1 #15 — Named cleanup presets.** LlmPromptPreset enum
(Default / Email / Notes / Code) appends a short context hint onto
the CLEANUP_PROMPT just before generation. Presets shape tone and
structure ("email paragraph", "bulleted meeting notes", "preserve
technical terms") without licensing the content-editing the
translator-not-editor framing forbids. cleanup_transcript_text_cmd
now takes `preset: Option<String>` which runs through the new
LlmPromptPreset::parse (normalises aliases like "meeting-notes",
collapses unknown values to Default).
**A.1 #28 — Sequential-GPU guard.** New LocalEngine::unload drops
the backend + model_id so a subsequent load actually reclaims VRAM.
load_llm_model, load_model, and load_parakeet_model Tauri commands
grow an optional `concurrent: bool` argument. When concurrent is
Some(false), loading LLM first unloads whisper+parakeet, and vice
versa — prevents VRAM OOM on tight-VRAM setups. Default is the
previous parallel behaviour so nothing changes for multi-GB cards.
Transcribe-in-progress paths (transcribe_pcm, transcribe_file, live)
pass None, so mid-dictation model loads don't accidentally tear
down the LLM.
Settings UI (AI section):
- Cleanup preset segmented button + descriptive copy for each option.
- GPU concurrency segmented button with explicit trade-off text
("faster transitions vs fits in tight VRAM").
Frontend wiring:
- settings.llmPromptPreset flows from DictationPage's
cleanupTranscriptIfEnabled into the Tauri command.
- settings.aiGpuConcurrency flows from both DictationPage (auto-load
on record) and SettingsPage (manual load/unload buttons) as
`concurrent: "parallel" === true` to the load commands.
Tests: three new preset cases in crates/ai-formatting/src/llm_client.rs
(parse aliases, suffix non-empty for non-default, default suffix
empty). All 139 existing lib tests still pass.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Ported the best bits of OpenWhispr's TranscriptionPreviewOverlay into Kon's
window conventions. Off by default — toggle in Settings → Output → "Floating
preview when Kon is unfocused". Opens only when the main window isn't
focused at the start of a recording, so it never adds noise when the user
can already see the transcript in the main surface.
Phase state machine (src/routes/preview/+page.svelte):
- listening — pulsing dot, no text yet
- live — animated bars + streaming raw Whisper output
- cleanup — accent bars while the LLM cleanup pass runs
- final — checkmark + formatted text + 4s auto-hide
Data plumbing: raw segment text is captured before post_process_segments in
live.rs (new raw_text field on LiveResultMessage) and in transcription.rs
(new raw_text in the transcription-result payload). DictationPage forwards
raw_text to the overlay via Tauri global events — preview-listening on
start, preview-append per chunk, preview-cleanup before the LLM pass,
preview-final with the formatted text, preview-hide when a run produced no
transcript (empty recording / cancel).
Window is always_on_top, skip_taskbar, focused=false so it never steals
focus from whatever the user is dictating into. open_preview_window shows
an existing hidden preview or builds it fresh; close_preview_window hides
without destroying so the next open is instant.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Previously profile_terms only reached the LLM cleanup stage as the
dictionary_terms suffix. Whisper decoded without any vocabulary hint, so
domain names ('Wren', 'CORBEL') were misspelled on the first pass and the
LLM had to guess at the correction.
build_initial_prompt (src-tauri/src/commands/mod.rs) collapses caller /
profile / terms into a single Whisper prompt:
caller_prompt > profile_prompt + "Vocabulary: <terms>." > None
transcribe_pcm, transcribe_file, and start_live_transcription_session all
route through the helper, so the three paths stay in lockstep.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
kon-llm now owns a real LlamaBackend + LlamaModel, with three Qwen3 tiers
(1.7B Q4, 4B-Instruct-2507 Q4, 14B Q5) selectable per hardware. Downloads
are resumable with SHA-256 verification and stored under ~/.kon/models/llm.
Engine exposes three high-level surfaces — all greedy/temp-0, GBNF-constrained
where output shape matters:
- cleanup_text (prompt-injection-hardened system prompt; profile terms
appended as "preserve these spellings" suffix)
- decompose_task (3–7 micro-steps, constrained JSON array)
- extract_tasks (optional-array; empty when no explicit commitments)
post_process_segments now takes an Option<&LlmEngine> and, when loaded and
format_mode != Raw, joins segments → cleanup → replaces segments with the
cleaned text (first segment span). Rule-based path still runs first; LLM
errors log and keep rule-based output.
Tauri commands: recommend_llm_tier, check_llm_model, download_llm_model,
load_llm_model, unload_llm_model, delete_llm_model, get_llm_status,
cleanup_transcript_text_cmd, extract_tasks_from_transcript_cmd,
decompose_and_store (LLM-backed subtasks).
Settings: AI tier toggle (off / cleanup / tasks), model picker with
downloaded/loaded status, download progress events via
kon:llm-download-progress.
Dictation: ensureLlmModelLoaded on mount, cleanupTranscriptIfEnabled after
stop when tier != off and format_mode != Raw, LLM task extraction when
tier=tasks (regex fallback on failure).
Interim: both llama-cpp-sys-2 and whisper-rs-sys statically link their own
ggml, so src-tauri/build.rs emits -Wl,--allow-multiple-definition on Linux.
Replace with a system-ggml shared-lib setup as a follow-up.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Major quality pass on top of Phase 2. Five substantive changes plus
cross-cutting touches across audio, hotkey, transcription, and Tauri
command layers.
Transcription quality
- Long-audio chunking in commands/transcription.rs: Parakeet and large
file transcription now chunk-and-recompose with overlap trimming, so
the live-path chunking advantage extends to file-based workflows.
- Stateful live speech gate in commands/live.rs on top of the earlier
duplicate-boundary filtering — distinguishes start-of-speech from
mid-speech and holds state across chunks.
Auto-learning corrections
- New crates/ai-formatting/src/correction_learning.rs: extracts user
text corrections from viewer edits and proposes additions to the
active profile's vocabulary.
- src-tauri/src/commands/profiles.rs bridge for frontend-driven
confirmation of learned terms.
- src/routes/viewer/+page.svelte hooks the learning path into the
segment-edit flow so corrections feed profile_terms without a
separate 'train this profile' UX.
Transcript profile provenance
- Migration v8 (crates/storage/src/migrations.rs) adds profile_id to
transcripts, defaulting to DEFAULT_PROFILE_ID so existing rows stay
valid.
- crates/storage/src/database.rs: TranscriptRow + CRUD carry profile_id.
- src-tauri/src/commands/transcripts.rs: add_transcript accepts and
persists profile_id.
- DictationPage.svelte + FilesPage.svelte send activeProfileId on
capture so learned corrections are attributed to the right profile.
Cleanup prompt contract
- crates/ai-formatting/src/llm_client.rs hardened: the CLEANUP_PROMPT
now specifies concrete do/do-not rules, ready for a real model-backed
cleanup pass. The llm_client is still a stub — kon-llm remains unwired
— but the prompt shape is final.
Cross-cutting polish
- Minor touches in audio (capture/decode/resample), hotkey (lib/linux/stub),
core, transcription (concurrency/model_manager/local_engine/whisper_rs),
and the rest of src-tauri/src/commands/*: error-path tightening, log
clarity, TS-migration follow-ups (@ts-nocheck additions for incremental
typing).
Verified locally: npm run check, cargo test -p kon-ai-formatting,
cargo test -p kon-storage, cargo test -p kon --lib commands::live::tests,
cargo check — all green.
Scope boundary: kon-llm crate is still a stub; task extraction remains
rule-based. Bundled local-LLM runtime is the next clean step and is not
in this commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
THE BRIEF:
For the friends beta we need verbal feedback AND technical feedback —
some bugs the user cannot describe but a stack trace can. Built it in
two layers, with Layer 3 deferred until there is real volume.
PRIVACY POSTURE (matches Kon's local-first positioning):
- All capture is to disk only. Nothing is transmitted.
- The manual report bundler shows the user exactly what would be
shared and lets them choose to copy / save it.
- No remote endpoint, no Sentry, no opt-out telemetry.
LAYER 1 — Always-on local capture:
- Rust panic hook (commands/diagnostics.rs::install_panic_hook) writes
each panic to ~/.kon/crashes/<unix-ts>-<short-id>.crash. Captures
thread name, OS/arch, RUST_BACKTRACE state, and the panic info.
Installed before tauri::Builder so it catches setup-time panics too.
- Frontend window.onerror + window.unhandledrejection in
src/routes/+layout.svelte forward to the new log_frontend_error
Tauri command, which inserts into the existing error_log SQLite
table. Best-effort: errors in the error handler itself are swallowed
so logging can never crash the app.
- Existing error_log table (migration v1) is now actually used —
closes the TODO from crates/storage/src/database.rs:409.
LAYER 2 — Manual diagnostic report:
- Settings → About → Diagnostics section: Generate report → Preview →
Copy / Save.
- Report is plain markdown so it pastes cleanly into email, Discord,
GitHub issues. Sections: app version + OS, sanitised settings JSON,
recent error_log rows, last 5 crash dumps with previews, log file
tail (8KB).
- Preview is shown in a <details> with the full text the user can
inspect before deciding to share.
- Save writes to ~/.kon/diagnostic-reports/kon-diagnostic-<ts>.md.
NEW FILES:
- src-tauri/src/commands/diagnostics.rs (panic hook + 5 Tauri commands)
CHANGES:
- crates/storage/src/file_storage.rs: crashes_dir() + logs_dir() helpers
- crates/storage/src/database.rs: ErrorLogRow + list_recent_errors()
- crates/storage/src/lib.rs: re-exports
- src-tauri/src/commands/mod.rs: + diagnostics module
- src-tauri/src/lib.rs: install_panic_hook() before Builder; 5 new
Tauri commands registered (log_frontend_error,
list_recent_errors_command, list_crash_files,
generate_diagnostic_report, save_diagnostic_report)
- src/routes/+layout.svelte: installGlobalErrorCapture() at mount
- src/lib/pages/SettingsPage.svelte: diagnostic state + buttons +
preview block at the end of the About section
cargo check -p kon-storage clean. Settings.svelte if/each balanced.
LAYER 3 (deferred):
- Optional opt-in remote reporting (self-hosted Sentry on Tartarus or
similar). Not for friends beta. Open up after volume justifies it.
