Clean the transcript up on the subscription you already have

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.

README.tr.md

@@ -1,7 +1,7 @@
 # Dikte
 
 `Ctrl+Space`'e bas, konuş, tekrar bas. Ses OpenAI'ye ya da OpenRouter'a gidip
-yazıya çevrilir, OpenRouter'daki bir model transkripti temizler (ıı'lar,
+yazıya çevrilir, bir model transkripti temizler (ıı'lar,
 tekrarlar, eksik noktalama), sonuç panoya kopyalanır ve o an yazdığın pencereye
 yapıştırılır.
 
@@ -44,8 +44,8 @@ diktelerine dokunmaz.
 
 Ayarlar penceresinde üç anahtar istenir: **OpenAI**, **Groq** ve **OpenRouter**.
 Sesi yazıya çevirme üçünden birinde çalışır (varsayılan `gpt-4o-transcribe`),
-temizleme her zaman OpenRouter'da (`google/gemini-3.5-flash-lite`), yani tek bir
-OpenRouter anahtarı ikisine de yeter. Boş bırakırsan `OPENAI_API_KEY`,
+temizleme OpenRouter'da (`google/gemini-3.5-flash-lite`) ya da kuruluysa Claude
+Code veya Codex'te, yani tek bir OpenRouter anahtarı ikisine de yeter. Boş bırakırsan `OPENAI_API_KEY`,
 `GROQ_API_KEY` ve `OPENROUTER_API_KEY` kullanılır;
 anahtarlar `~/.config/dikte/config.json`
 içinde, izinler 600. Temizlemeyi tamamen kapatabilirsin, o zaman ham transkript
@@ -147,6 +147,7 @@ audio.py          PCM kaydı: diktede pw-record, toplantıda ffmpeg
 meeting.py        kanal ayırma, konuşmacı etiketi, temizleme, tutanak
 assistant.py      dikteyi Claude Code, Codex ya da OpenRouter'dan geçirme
 api.py            iki sağlayıcıda transkript + OpenRouter temizleme (yalnız stdlib)
+cleanup.py        transkripti kim temizler: OpenRouter, Claude Code ya da Codex
 worker.py         transkript → temizleme → pano → yapıştırma
 vad.py            kayıtta gerçekten konuşma var mı kararı
 filetranscribe.py dosyadan transkript: ffmpeg, parçalama, zaman damgaları