llama.cpp counts the thinking towards max_tokens along with the answer it
precedes, and the local ceiling was sized for the answer alone. Turning
Thinking up therefore came out of the reply rather than being added to
it, and on a short dictation the 512 floor is the whole budget, so the
model spent it in the think block and came back with nothing to paste.
Each rung of the ladder now carries its own budget, doubling from 256 at
"minimal" to 8192 at "maximum", added on top of the answer's share
rather than taken out of it. The rungs are small because cleanup is
punctuation and locally every one of these tokens is also a second of
somebody standing in front of the screen. "Off" keeps the old tight
ceiling untouched, and an empty setting is given a middling amount,
since a template that can think thinks by default and there is no way to
ask which kind of model this is.
The ceiling is also held under what the server was started with. Above
the context it is not a ceiling at all: the runaway it exists to stop
would run to the end of the context instead, which on CPU is minutes of
waiting. The prompt keeps its share at two characters to the token,
which is under any tokeniser's rate for natural language and so reserves
too much rather than promising room that is not there.
Separately, a reply cut off at somebody's ceiling was returned as if it
were whole. Half a sentence looks like a cleaned-up transcript and is
not one, so finish_reason is now read in both cleanup and chat. The
callers already keep the transcript they started with, which is the
better of the two. This one is not local-only: a hosted provider
stopping at its own output limit was silently pasted the same way.
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 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.
Google's compatibility layer has no word for off. Sending
reasoning_effort "none" is refused outright, so choosing Thinking → Off
made every cleanup fail and paste the raw transcript instead:
HTTP 400: Request contains an invalid argument. (INVALID_ARGUMENT)
Measured against gemini-3.5-flash-lite, asking it to reply "ok":
nothing sent 50.59s
reasoning_effort "none" 400
reasoning_effort "minimal" 15.40s
reasoning_effort "low" 53.35s
reasoning_effort "high" 63.83s
So "none" lands on "minimal", which is both accepted and the quickest of
them, and quickest is what cleanup wants. The thinking_config route the
documentation offers is an SDK wrapper and is not a field this endpoint
knows: sending it is "Unknown name \"google\"".
Co-Authored-By: Claude Opus 5 <[email protected]>
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 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.
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.
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.
yusufipek
