The hash was checked when there was one and skipped when there was not,
which is the wrong way round: everything fetched here is either run or
parsed by something written in C++, and the case with no hash is the one
where that matters most and says least.
Not hypothetical. GitHub publishes a digest for whisper.cpp v1.9.1 and for
llama.cpp today, and publishes none for whisper.cpp v1.8.0 and older, so
anything reaching for an older tag would have installed an executable
nobody checked.
Three of master's changes land on the same lines as this branch, so most of
this is picking the newer shape and putting the local half back into it.
cleanup.py arrived while this was being written and is the right place for
a fourth provider, so the Target refactor of api.cleanup goes away: llama.cpp
becomes a name in cleanup.PROVIDERS next to OpenRouter, Claude Code and
Codex, and worker.py, meeting.py and filetranscribe.py go back to master's.
The settings window keeps master's one row per provider, hidden with
setRowVisible, rather than the two wrapper widgets this branch had. So does
speech to text, which was doing the same thing its own way.
The transcriber table has no room for a provider with no key and no base
URL, so the local one is answered before the lookup rather than added to
it, and an unknown name now falls back to openai by name: the shipped
default is no longer a key of that table.
The minutes stay on OpenRouter, which master already decided by routing
only the transcript through cleanup.run, so meeting_provider goes.
A combo box hands its own width to the list under it and elides whatever
does not fit, in the middle of the word: "ggml-org/Qwen....7B-Base-GGUF"
is not something anybody can choose between. The list is now as wide as its
longest row while the box stays the width the form gave it.
Qt's int is C++'s 32-bit one, so the progress of a 2.3 GB download arrived
at the other end of the signal as -1805209440, which is the real figure
less 2^32. The file was landing correctly; only the line under it was
wrong, reading "1.0 MB of -1805209440 B (-1%)".
_wait_ready can raise rather than return, and the process it was waiting on
is ours with nothing else holding a reference to it. Leaving it running
leaks a loaded model with nobody left to ask it anything, which is the
whole failure this class is careful about everywhere else. Found by two
stand-in servers still running after a test run.
whisper-server is started on --inference-path /v1/audio/transcriptions,
which is exactly the path api.py already builds for the hosted providers,
and llama-server answers /chat/completions the way OpenRouter does. So the
local half is one more base URL rather than a second code path: worker.py,
filetranscribe.py and meeting.py are untouched, and dictation, subtitles
and meetings all work here on the first try.
Three findings worth naming, none of them in the new code:
whisper.cpp cuts segments on tokens, which in Turkish lands inside a word
about as often as between two. Pasted raw that gives "akraba değ\niller.";
in a subtitle it gives a cue reading "değ". Whisper marks the start of a
word with a leading space, so a piece that does not begin with one
continues the word above it.
A small model will repeat the transcript until the context is full, and
every one of those tokens is a second of somebody waiting: measured at 206
seconds, and 25 with a ceiling on the reply. Hosted models are left alone,
where the same runaway is rare and a ceiling would cut the minutes short.
A server outlives SIGTERM and SIGKILL holding its model in memory. Signals
are now turned into an event Qt delivers, since Qt blocks in C where a
Python handler never runs, and a pid file lets the next start sweep up
what a SIGKILL left behind.
The minutes keep their own provider rather than following cleanup's. The
two jobs are not the same size: a 4B model here will strip the filler words
out of a dictation and will not write up an hour long meeting.
The suite runs offline now: a test that reaches the network says so instead
of quietly going there.
Two programs, one treatment: ask GitHub what was released, take the build
this machine can run, check it against the sha256 the index published, then
fetch a model from Hugging Face the same way and keep one server up on a
port of its own.
Neither list is written into the source. A model catalogue in here means a
release of Dikte for every model somebody else publishes, and a pinned
version means one for every whisper.cpp release; both are somebody else's
news. The lists are read at the moment the settings window is opened and
cached for a few hours, and a cache that has gone stale still answers when
the network does not.
Nothing that lands on disk is trusted for having arrived, which matters
more here than usual because half of what is fetched is a program Dikte
then runs.
Cleanup was the one step with only one place to run. Speech to text has three
providers behind a setting and the agent has three behind another, but the
model that drops the "eee"s out of a sentence was always a request to
OpenRouter, which meant a second key on a machine that already pays for a model
and already hands whole dictations to it as commands. Claude Code and Codex can
rewrite a sentence as easily as they can put something in your calendar, and
now they may.
cleanup.py is where that choice lives, so worker, the file transcriber and the
meeting all ask the same question rather than each building the same OpenRouter
request. What comes out of a CLI that failed is a CleanupError, which is an
ApiError, because to the chain a cleanup that failed is a cleanup that failed
however it was run: the raw transcript is still pasted and the reason still
shows in the corner, unchanged.
Neither CLI is given anything it does not need for the job. No tools, no MCP
servers, no session to resume, and the home directory rather than wherever the
agent is pointed, since a project's instructions have opinions about how text
should be written and none of them are about this transcript. The transcript
goes in fenced the same way the OpenRouter call fences it, because it is
material rather than an instruction however much of it reads like one. Claude
takes the cleanup rules as its whole system prompt; Codex has no system prompt
of its own, so they ride in front of the text, and its answer is read from the
file it writes on the way out rather than from a stdout that also carries a
header, its thinking and a token count.
The cost is seconds. OpenRouter answers in about one, a CLI in six or seven,
because each one opens a whole session to do it. That is the trade the box
says out loud, and the default has not moved: OpenRouter cleans up until you
say otherwise.
Codex's two lowest thinking levels now ask for "low". "minimal" was its bottom
rung until the newer models replaced it with "none", and each of them answers
the other's word with a 400, which the agent has been quietly hitting too.
In the settings window the model box belongs to whoever is chosen rather than
meaning three different things in turn, since an OpenRouter id and a Claude
alias do not belong in the same field, and under it is the same "found it or
not" line the agent tab has. dikte doctor asks about the program instead of the
key when a CLI does the cleaning, and the history records which model actually
did it.
Stopping a recording is the step there is no taking back. It is what sends the
audio off, and a moment later the sentence you did not mean to dictate is in
the clipboard and pasted into whatever window you were typing in. The tray menu
was the only way out, and by the time it is open the recording has already
gone. Discarding needed to be as quick as starting, which means a key.
Ctrl+Alt+Space rather than Escape: the combination the recording started with,
one modifier along, so the two are one gesture with a modifier between them.
Escape is the obvious choice and the wrong one, because it belongs to whichever
window has focus, and while you are talking something else usually has it. It
works on a dictation and on a command for the agent alike, since the one you
want to take back is the one that is running.
That made four global shortcuts, and four is the number at which three copies
of the same forty lines stop being a coincidence. The command line already had
a table of them; hotkey.py now holds it, and the settings window reads it too,
so a shortcut is a row rather than a combination box, two buttons, a status
label and three methods written out again. The window no longer takes the
commands to run as arguments either, because ipc.command_for already knows them
from the verb. Adding the fourth key is what this buys: one line in the table
and one call per row.
Both places a key can live are told about it. The listener catching the press
and the KDE shortcut arriving behind it go through the same echo guard the
toggle already had, so the two are one discard rather than two, and the tray
calls the inner method as it already did for the toggle. Ctrl+Space and
Ctrl+Alt+Space land on the same evdev key code, so there is a test for the
modifier matching that keeps them apart.
install.sh takes the second key as a second argument and refuses to register
two of the same. It hands both to `dikte shortcut install` rather than writing
kglobalshortcutsrc itself, which is what makes it work on GNOME, and what
finally puts the chosen key in the settings as well: the built-in listener
reads it from there, so a key written to only one of the two places was a key
that half worked.
Left empty in the settings window the discard key stays empty, unlike the
dictation shortcut which falls back to Ctrl+Space: a recording can always be
thrown away from the tray menu, so there is nothing to guarantee here.
Reworked on top of master. The Groq request itself needed nothing beyond a key,
a base URL and a model id, but two providers fit in an if and an else where
three do not, and each one was written out four times: in transcribe_target(),
in the key rows of the settings window, in save and in load.
config.TRANSCRIBERS holds them now, one row each: the name the user sees and
the three settings that keep its key, its endpoint and its model. The variable
an empty key falls back to is the name of its setting, shouted. The provider
box, save, load, `dikte models --provider` and `dikte test-key` all read that
table, so a fourth provider is a row and a default rather than a branch in five
files. The key field, its Test button and its answer line are built once and
the three signals became one that carries which key was asked about.
The tests moved into the files of the modules they cover and check what a
provider actually changes: that the request goes to api.groq.com with the right
model and fields, that the glossary now reaches everything except OpenRouter,
that a Groq error says Groq, and that the settings window carries the key and
the model there and back. GROQ_API_KEY is cleared for the test run like the
other two, so a developer who has one does not send a test to the network.
Co-authored-by: Muzaffer Emre <[email protected]>
Dikte already chose its clipboard programs once instead of in every
function; macOS joins that table rather than adding a branch to each one.
A Mac copies through pbcopy and presses Cmd+V straight into CoreGraphics,
records through AVFoundation, and asks Carbon for its global shortcuts.
The three tables are paste.Desktop, audio.Sound, and the pair of
predicates in hotkey.py. Each reads sys.platform inside the chooser, so a
test can stand somewhere else: 697 of the 737 tests now run on any
machine, the Wayland and X11 halves included, and the suite passes whole
whichever system it is run on.
Two things a Mac does not have needed saying rather than pretending:
there is no shortcut registry to install into, so Settings offers no
Install button and the listener is the mechanism instead of a fallback;
and nothing is offered as the sound the speakers are playing, so a
meeting needs BlackHole or Loopback and says so. The KDE-only labels
around them were already wrong on GNOME, and now name whichever desktop
is there.
Co-authored-by: firat <[email protected]>
Left alone, parec buffers about two seconds and then hands the lot over at
once. Measured against the chunk the level meter reads:
parec, as it was longest gap 2005 ms
parec --latency-msec=64 longest gap 86 ms
pw-record longest gap 129 ms
On a machine that has parec, which is every PulseAudio one and every PipeWire
one with the compatibility service, the waveform stood still and then jumped,
looking like a microphone that was not picking anything up. The recording
itself was fine, but the tail of one can be lost that way too: stop() ends the
process, and whatever is still held back goes with it.
The number asked for is the meter's own chunk, which is the unit the rest of
this file is measured in.
The pump now says when the capture ended with nothing captured, which is worth
saying: parec refusing the device looks like silence otherwise. But stop() ends
it the same way, so a recording shorter than 0.3 s raised that alarm first and
"Recording too short" second, sending the user after a sound server that is
fine. It follows the flag MeetingRecorder already carries for this.
test_desktop_compat.py moves into the files for the modules it covers, so a
test is where the next person looking at that module will find it.
install_shortcut(), remove_shortcut(), shortcut_status() and desktop_name()
were added and nothing called them: the settings window and the command line
both still went straight to the KDE ones. On GNOME, pressing Install ran
kwriteconfig6, which is not there, and the three interface strings written for
this never appeared. README said the settings window installs a GNOME or KDE
shortcut, and it installed neither.
Both callers go through the chooser now, and the status line names whichever
desktop answered.
Which pair of tools a session uses was being asked inside copy(), read(),
copy_bytes() and press(), four times, in a conditional each. A third desktop
means a third branch in each of them, and macOS is already open as a pull
request doing exactly that in a different style.
Wayland and X11 are two entries at the top of the file now, each naming its
programs and how to build a key press from them. The functions below take
whichever entry the session gets. Adding a desktop is an entry and a line in
desktop(), and it touches nothing else.
Two things fall out of it. The key press is checked against the same table on
both: xdotool was being handed the shortcut as typed, so ctrl+f13 was refused
on Wayland and passed through on X11. And a missing tool names the package to
install again, which the shared message had dropped.
The tests say the promises once and run them against both desktops, so a third
one inherits the list rather than needing a copy of it.
570 tests over the standard library's unittest, so there is nothing to
install beyond the PyQt6 the application already needs. They reach neither
the network, the microphone, nor the real ~/.config/dikte: urllib is faked at
one function, the tools are faked at shutil.which, and every test is handed
its own config and data directory.
What they hold onto is what a change is most likely to move without meaning
to. The request each provider is sent, field by field. A settings window that
loads a value into a widget and writes it back, which is where a setting
added to one half and not the other is silently reset. The dictation chain
end to end: what is transcribed, what is pasted, what lands in the history,
and what happens to the audio afterwards. A config file written by an older
version. A meeting whose two channels heard the same sentence.
59 of them carry @linux_only, because they cover what Dikte is on this
desktop rather than what it does: PipeWire, wl-clipboard, ydotool, KDE's
shortcut file. The other 511 pass on any platform, and that line is worth
holding as the ports arrive.
CONTRIBUTING.md says how to run them, what support.py offers, and the three
things about this codebase that trip up a new test.
yusufipk