Delete the local duplicate fn and libloading dependency from src-tauri;
import the canonical implementation from magnotia-core::hardware instead.
Co-Authored-By: Claude Sonnet 4.6 <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.
Auto-applied cargo clippy --fix across 11 files — needless return,
unnecessary cast, map_or simplification, repeat().take() → repeat_n(),
iter().any() → contains(), manual char comparison, lifetime elision,
push_str single-char, reference immediately dereferenced.
Also fixed three lints on file_storage.rs manually: two doc-list-item
overindentations, plus the same needless-return. Baseline main was
not clippy-clean with -D warnings before; after this pass one
needless_range_loop warning remains (live.rs:1089) that clippy's
suggested rewrite would make less readable — left for a dedicated
refactor session.
Build + workspace tests remain green (245 passing, 0 failing, 1
ignored).
get_runtime_capabilities was returning `accelerators = ["cpu",
"vulkan"]` and `whisper.supports_gpu = true` regardless of build
config or runtime state. On a macOS build it falsely advertised
"vulkan" (the backend actually resolves via MoltenVK as Metal); on a
whisper-disabled build it claimed GPU support for an engine that
hadn't been linked.
Added `compose_accelerators(whisper_enabled, loader_available, target)`
— a pure helper that always emits "cpu" first and appends the
platform-appropriate GPU name only when whisper is compiled in AND the
Vulkan loader resolves. `supported_accelerators()` wraps it with the
live `cfg!(feature = "whisper")`, loader probe, and target OS.
`get_runtime_capabilities` now calls `supported_accelerators()` and
sets `whisper.supports_gpu = cfg!(feature = "whisper")`. Parakeet
stays CPU-only.
Five tests in `commands::models::tests` cover the permutation matrix:
whisper on/off, loader present/missing, macOS vs other. Both feature
configurations (`--features whisper` and `--no-default-features`)
build and pass tests.
Macos Metal-loader resolution on real hardware stays on the
ship-gate checklist — the detection logic is verifiable from Linux
but runtime behaviour is not.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Review feedback: src-tauri/src/commands/models.rs was still naming
load_whisper unconditionally, so a --no-default-features workspace
build (kon-transcription without the whisper feature) would have
compiled the transcription crate cleanly but failed in the kon crate
as soon as it tried to resolve the load_whisper symbol.
Adds a matching [features] section to src-tauri/Cargo.toml:
- default = ["whisper"]
- whisper = ["kon-transcription/whisper"]
and declares the kon-transcription dep with default-features = false so
the feature actually propagates rather than being forced-on by the
child crate's default. Cfg-gates the load_whisper import in models.rs
and adds a companion match arm that returns a runtime error when the
feature is off, keeping the API shape intact.
Verified with both cargo build -p kon and cargo build -p kon
--no-default-features.
New crates/transcription/src/transcriber.rs defines a Transcriber
trait (Send supertrait for spawn_blocking travel) with
TranscriberCapabilities (sample_rate, channels, supports_initial_prompt).
TranscriberCapabilities.sample_rate is load-bearing for the upcoming
progressive WAV writer (#19).
Concrete impls:
- SpeechModelAdapter wraps Box<dyn transcribe_rs::SpeechModel + Send>
for Parakeet (and any future transcribe-rs-backed engine).
- WhisperRsBackend moves its transcribe_sync body into the impl,
widening the signature from &self to &mut self so per-call
WhisperState can be created cleanly through the trait object.
LocalEngine now holds Box<dyn Transcriber + Send>; dispatch in
transcribe_sync collapses from a match to a direct call. Adds
LocalEngine::capabilities() for the WAV-writer.
Cargo feature flag "whisper" (default on) makes whisper-rs, num_cpus,
and the whole whisper_rs_backend module optional. cargo check
--no-default-features -p kon-transcription now builds without pulling
whisper-rs-sys — the escape hatch brief item #6 / #13 called for on
Windows / non-AVX2 / cloud-only builds. load_whisper is cfg-gated
behind the same feature.
src-tauri/src/commands/models.rs load_model_from_disk returns
Box<dyn Transcriber + Send> instead of SpeechBackend; caller chain
(ensure_model_loaded, prewarm_default_model) is unchanged.
transcriber_trait_is_object_safe test lands alongside the trait as a
compile-time witness against future Self-returning / generic-method
additions.
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>
prewarm_default_model loaded the model and returned. That moves the
model into RAM, but whisper.cpp still allocates its context window +
fills GPU shader caches on the first inference call — producing the
~4–5 s cold-start latency documented in ufal/whisper_streaming #96
and #135 that feels like "Kon dropped my first sentence."
Extend the pre-warm task: after engine.load, feed one second of
silence (16000 zero samples at 16 kHz) through transcribe_sync with
default options. Silence returns empty segments; the *work* is the
context allocation, which now happens at app boot rather than on the
user's first hotkey press.
Net: the user's first real dictation should complete within ~1.5× the
steady-state RTF they'll see on subsequent runs, satisfying the A.1
#23 acceptance criterion. No new public API; all inside the existing
spawn_blocking.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extends get_runtime_capabilities() with three new fields:
- activeComputeDevice: {kind, label, reason} — "GPU (Vulkan)" on
the happy path, "CPU (fallback)" with a reason when the Vulkan
loader is absent at runtime. libloading::Library::new probes
libvulkan.so.1 / vulkan-1.dll / libMoltenVK.dylib per target OS.
- cpuFeatures: { avx2, avx512f, fma, sse4_2, neon, hasGgmlBaseline }
sourced from the new probe_cpu_features() helper. hasGgmlBaseline
is the one flag the Settings banner actually reads.
- parallelModeAvailable: placeholder false until Phase A.4 lands
the real GPU VRAM probe + GpuGuard semaphore permit logic.
Adds emit_runtime_warnings(&AppHandle) called once at setup() after
prewarm_default_model. Emits a runtime-warning event with kind
"avx2-missing" or "vulkan-loader-missing" so Workstream B can
render a dismissible Settings banner without polling capabilities.
Contract matches docs/whisper-ecosystem/workstream-A.md §Item #1 for
Workstream B to consume without waiting for Phase A.2 to land the
real whisper_print_system_info bridge.
Co-authored-by: jars <jakejars@users.noreply.github.com>
Two new registry entries (crates/core/src/model_registry.rs):
- whisper-distil-small-en — 336 MB, ~6× faster than whisper-small-en
- whisper-distil-large-v3 — 1.55 GB, near large-v3 accuracy at medium size
Both are whisper.cpp-compatible GGML binaries hosted on HF by the
distil-whisper org; no runtime change, just wider model choice. English-only
by design (matches upstream Distil-Whisper).
The Settings model picker widens to six options — Tiny, Base, Small,
Distil-S, Medium, Distil-L — ordered roughly by accuracy. Download/load
commands now take the resolved model id (whisper-distil-*) instead of the
lowercased label, so the frontend owns the label↔id mapping.
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>
Second dogfood sprint. Headline fix: Linux now uses native KWin/Mutter
decorations instead of fragile frameless `startResizeDragging`, which
collapsed diagonal corner resize to a single axis and made drag feel
laggy. macOS / Windows keep custom chrome via `useCustomChrome` gate.
Other changes:
- Cross-window preferences sync via `kon:preferences-changed` Tauri
event — theme and font changes propagate live to float/viewer.
- Hotkey recorder rewritten to use capture-phase document listener
gated by $effect; button focus was unreliable in webkit2gtk.
- History page redesigned for cognitive-load hygiene: title-first
compact row, inline title input, Edit popout opening /viewer in
edit mode, clipboard export as .md with YAML frontmatter, manual
tag chips + + Add tag input, header tag filter (cap 7), global
Starred filter, `tag:xyz` search syntax.
- `deriveAutoTags` kept as empty hook for post-Task-7 LLM topic tags;
research found all previous auto-tag chips redundant with row UI.
- Viewer window adds edit mode with debounced-save textarea; native
title renamed to "Kon - Transcription Editor".
- Window minimums updated per GNOME HIG + WCAG reflow research:
main 960x600, float 360x480, editor 560x520.
- Microphone picker filters raw ALSA strings (hw:, plughw:, front:,
sysdefault:, null) and dedupes by CARD=X. New `description` field
on DeviceInfo reads /proc/asound/cards so Blue Yeti shows as "Blue
Microphones" instead of the short "Microphones" card name.
- GPU reporting fixed: get_runtime_capabilities now returns
accelerators=[cpu,vulkan] and whisper.supports_gpu=true, matching
the transcribe-rs whisper-vulkan feature linked unconditionally.
- ResizeHandles kept for macOS/Windows frameless: 12px edges, 20px
corners via CSS vars, pointerdown + setPointerCapture, corners
above edges in z-order, rendered as sibling (not child) of the
animated layout root so `position: fixed` is viewport-relative.
- Dueling drag-region handlers removed — `data-tauri-drag-region` and
manual `startDragging()` were stacked on the same elements; kept
the manual handler which has the button/input early-return logic.
See HANDOVER.md for the full session log and deferred items.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
crates/storage/src/migrations.rs:
Replace naive sql.split(';') with split_statements() that tracks
BEGIN...END depth, so migrations containing trigger definitions
execute correctly instead of being split mid-block.
crates/transcription/src/lib.rs:
Re-export transcribe_rs::SpeechModel so callers in src-tauri can
reference it without adding transcribe-rs as a direct dependency.
src-tauri/src/commands/models.rs:
Use Box<dyn SpeechModel + Send> as the load_model_from_disk return
type, matching the trait object that transcription crates produce.
src-tauri/src/commands/transcripts.rs:
Remove the stale .map(|v| v as i32) casts on sample_rate and
audio_channels. InsertTranscriptParams now stores these as i64
(ebf449b), matching the i64 fields on CreateTranscriptRequest;
casting to i32 first would silently truncate large sample rates.
Co-Authored-By: Claude Sonnet 4.6 <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.
