Master grew Google AI Studio and Antigravity as providers, a doctor that
names each provider's own key, and settings that fetch every hosted
model list as the window opens. OpenCode Go is folded into each: its
name joins SERVICES and the doctor's key table, its key row sits beside
Google's, its Fetch button follows the per-provider pattern Google's
uses, and _load_hosted_models fetches its catalog at open when a key is
on file, filling the cleanup and agent boxes alike.
Codex's list already arrived on its own, because reading a cache on disk
costs nothing. The other three lists were behind a Fetch button, which
meant the built-in ones aged in front of anyone who never pressed it. Now
OpenRouter's and Google's lists are fetched when the settings window
opens, and Antigravity's comes off `agy models`, which prints one
id-tab-name line per model and answers over the network in a couple of
seconds; all three run off the interface thread.
Nobody asked, so nothing is reported: a failure changes nothing on
screen, the built-in lists stay, and the Fetch buttons remain both the
retry and the place an error is worth explaining. A provider whose key
has not been given is not called at all, so opening Settings is not by
itself a request to two vendors.
Also drops an import the merge had left in twice.
Co-Authored-By: Claude Fable 5 <[email protected]>
Codex now asks itself for its model list, doctor grew ready flags and a
per-provider line, and the Groq key joined the masked ones; the OpenCode
additions are folded into each. The no-CLI cleanup test follows the
fake_run to fake_cli rename.
Both sides rewrote the doctor: master rebuilt it around ready flags so a
fully local setup stops reading as broken, while this branch taught it
that Google has a key of its own and that the local model has neither a
key nor a program. Kept master's structure and folded the branch in: the
two hosted providers answer for their keys, a CLI for its program, and
the JSON keeps both the provider-aware "key" and master's "ready".
SECRET_KEYS gained groq on master and gemini here; the resolution keeps
all four. _conclude was also changed by both: master stopped matching
stderr wording and asks _API_TROUBLE instead, this branch renamed its
last parameter to the provider's short name so a session is stored under
the name it is read back by; the rename now rides on master's body.
codex_models() and the settings loaders landed beside the new Gemini
ones, so both stay. The new cleanup tests called the CLI fake by its old
name, fake_run, which master had renamed to fake_cli.
OpenRouter's free tier rate-limits and carries no free Gemini model, and
cleaning up through Claude Code costs a fixed few seconds because it opens
a whole CLI session to drop three "uh"s. Google's own free tier suits a
short, frequent request, and its OpenAI-compatible endpoint answers
/chat/completions, so cleanup there is one request and the same code path
OpenRouter already takes.
The one thing that is not shared is the thinking level. Google reads
OpenAI's flat reasoning_effort rather than OpenRouter's object, and "none"
is how thinking is turned off, so it is sent rather than skipped: a Flash
model left to think spends exactly the second this provider was chosen to
save. Its top two rungs land on "high", which is as far as Google goes.
Speech to text stays where it was. That endpoint has no
/audio/transcriptions behind it, audio only goes in as base64 inside a
chat message, and what comes back has none of the segment times a subtitle
file or a meeting transcript is built out of.
Antigravity joins as well, on cleanup and as an agent. It is a CLI like the
other two and costs the same session, so it is here for people who already
pay for it rather than as an answer to the speed. It takes neither an empty
tool list nor a read-only sandbox, and cleanup.py now says so plainly
instead of implying parity; what it gets is a project of its own, the home
directory, and its slash commands off.
Three things were already wrong and are fixed on the way past, because the
new providers walk the same paths: doctor raised KeyError on the local
model, whose executable is ""; the history recorded Claude's model whoever
answered; and every agent row read "asked Claude".
Co-Authored-By: Claude Opus 5 <[email protected]>
OpenCode Go serves open coding models from an OpenAI-compatible endpoint. It cannot transcribe, so it joins
the two LLM jobs: transcript cleanup and the plain-chat agent. The key
falls back to OPENCODE_API_KEY, and api.chat() stops hardcoding the
OpenRouter name so the same call serves both.
The Codex model boxes carried a hand-written list, which was already out of
date. The settings window now asks `codex debug models` for the catalog the
CLI's own picker reads, off the interface thread, and refills both boxes with
it; the built-in list is only what is on screen until Codex answers, or when
it is not installed at all.
The claude and codex CLIs spawn shells to do their work, and killing only
the direct child left those shells holding the pipes: the stdout loop
never saw EOF, so the run hung forever with the watchdog already fired,
and cleanup's subprocess.run could hang inside the stdlib the same way
after its own timeout. Both now run the CLI with its output in files
rather than pipes and put the whole tree down on a timeout, taskkill /T
on Windows and a process group everywhere else. Whether a dead resume
means "start a fresh conversation" was decided by English substrings of
stderr, which a localized CLI never says; a resumed run that exits
nonzero with no answer now retries fresh once, whatever the words were.
Recognised API trouble is the exception: a spent quota, a signed-out CLI
or a dead network is not the session's fault, and is reported as itself
rather than retried into a second copy of the same failure.
Co-Authored-By: Claude Fable 5 <[email protected]>
Twenty-two files at the top of the tree was the first thing anybody saw of
this repository. They are one package now, imported relatively, and the three
scripts that are not the front door moved under scripts/. install.sh stays
where the README has always said it is.
What starts the application is dikte/__main__.py: python3 -m dikte runs it,
and so does naming the file, which is what the launcher symlink, both .desktop
files, the macOS bundle and every registered shortcut do. Run by path there is
no package around it, so it puts the checkout on sys.path itself.
The installers now keep the keys you chose when they are given none, which is
what an update is: update.sh no longer has to read them out and pass them back.
An updater from before this commit cannot read them at all, so the one thing it
can say, the default key with an empty discard key, is read as "nothing was
asked for" rather than obeyed. That guard can go once nobody is updating across
this commit.
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.
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.
yusufipek
