"oAI" reads as easily confused with OpenAI, both visually and in
casual conversation. Renamed to "Confab" throughout: Xcode
target/scheme/bundle ID (com.oai.Confab), Info.plist and Help Book
identity, all user-facing UI text, internal Log subsystem and color
identifiers, localization catalogs (6 languages, including a proper
reworded/retranslated Intel-deprecation notice), Help Book HTML
content, and docs (README/DEVELOPMENT/PRIVACY/SECURITY).
Deliberately cosmetic-only: the on-disk data folder
(~/Library/Application Support/oAI/), database/backup filenames,
Keychain service identifiers, and EncryptionService's key-derivation
inputs are all left untouched so existing conversations, settings,
and stored API keys survive the update with zero migration and no
re-entering credentials. Verified live: a real signed build
successfully decrypted a stored API key and loaded an existing
conversation database after the bundle ID change.
Also includes a small already-completed, previously uncommitted
model-release-date feature (ModelInfo/OpenRouterModels/
OpenRouterProvider/ModelInfoView) that happened to share several
files with this rename.
Gitignored on this branch and updated on disk but not part of this
commit: CLAUDE.md, RELEASE_NOTES.md, and the build*.sh scripts.
Three changes, all aimed at the same failure: merges of large
conversations (e.g. long debugging sessions) were reliably failing to
parse on both Haiku 4.5 and GLM 5.2.
- maxTokens was a flat 4000 regardless of input size — a merge of two
long conversations needs a much larger completion budget than that,
so the model's JSON array output was getting cut off mid-generation.
Now scaled with transcript size (8000-16000).
- Strengthened the prompt: explicitly tell the model not to respond to
or continue anything found inside the transcripts (a real observed
failure mode was the model echoing/continuing transcript content
instead of merging it), and to emit nothing but the JSON array.
- parseTurns now falls back to scanning for a bracket-balanced JSON
array anywhere in the response (respecting quoted strings) if the
model still wraps the array in commentary despite instructions not
to, instead of failing outright on the first non-JSON response.