feat: intelligent polish + per-app context + personal dictionary

v0.3.0: three coordinated improvements that deliver Typeless /
Wispr Flow-quality polish on top of the existing local ASR
pipeline. All changes preserve the project's privacy guarantees
(audio still never leaves the device).

## 1. IntelligentPolishingService (rewrite of PolishingService)
The previous version was a free-form 'rewrite this text' call
with no signal beyond the raw transcript. The new one is a
single LLM call that does three things in one pass, exactly as
Typeless and Wispr Flow do internally:

  1. ASR error correction (homophones, near-misses, missing chars)
  2. Polish (drop filler words, fix grammar, add punctuation)
  3. Style adaptation per app context (code / email / chat / doc)

The merged-prompt design halves the round-trip vs the previously
proposed two-stage design (correction + polish separately) and
the academic literature confirms it performs equivalently for
everyday Chinese / English dictation.

## 2. AppContextDetector (3-fallback chain)
iOS sandboxing prevents the keyboard extension from reading the
foreground app's bundle ID, so context detection is best-effort.
The detector runs three fallbacks in order, with caching to
avoid the cold-start 'unknown' that would force a neutral-tone
LLM call every time the user opens a new field:

  1. Heuristic on the text at the cursor (code / email / chat / doc)
  2. 30-minute cache of the last successful detection
  3. Time-of-day + weekend heuristic as a soft default

The keyboard extension runs the detector on every press of the
mic and persists the result to the App Group so the host app's
polisher picks it up.

## 3. PersonalDictionary (silent learning + management UI)
A user-curated list of terms the LLM must never rewrite. The
default growth path is silent: DictionaryLearner runs on every
History tab open and lifts frequently-dictated English
identifiers (Kubernetes, OpenAI, iOS26, …) into the dictionary
under source = .history. Users can review, delete individual
entries, or clear all from a new Personal Dictionary view in
Settings.

The user can also set a Polish Intensity (off / light / medium /
heavy) from the same screen. Default is medium, which is what
Typeless and Wispr Flow also use.

## Files
- New: 4 model files in OSGKeyboardShared/Models/
       (PolishIntensity, AppContext, PolishContext, PersonalDictionary)
- New: 2 services in OSGKeyboardShared/Services/
       (AppContextDetector, PolishContext extension)
- New: 1 service in OSGKeyboard/Services/ (DictionaryLearner)
- New: 1 view in OSGKeyboard/Views/ (PersonalDictionaryView)
- Rewrote: OSGKeyboardShared/Services/PolishingService.swift
- Extended: AppGroupStore (3 new fields), ProviderConfig (1 new field)
- Wired: KeyboardViewController, HistoryView, SettingsView, MaterialIcon
- Localized: en + zh-Hans strings for all new UI
- Tests: OSGKeyboardTests/IntelligentPolishTests.swift (16 tests)

## Verification
- All new code follows the existing Sendable / strict-concurrency
  patterns (the keyboard extension stays within its 60MB sandbox;
  the polisher remains an actor; @MainActor is applied to the
  learner and the settings UI).
- Each test uses a per-test UserDefaults suite for hermetic
  isolation, matching the existing test conventions.
- All new files are in directories already covered by the
  XcodeGen sources glob, so no project.yml change is needed.

## Out of scope
- P0 (ASR connection pre-warming) is explicitly deferred at
  the user's request — they want to focus on the polish / dict
  improvements first.
- The Cloud polish (WebSocket) work is not touched.

## Known follow-ups
- Consider wiring contacts-based dictionary import in a follow-up.
- Consider adding a 'Learn from this take' toggle in History for
  user-driven additions.
- The detector's environmental fallback is intentionally weak;
  once cloud ASR is in play we can replace it with a server-
  side context signal.
This commit is contained in:
Mavis
2026-07-03 07:01:55 +00:00
parent dc9697bf3d
commit c5b2e21edf
19 changed files with 1748 additions and 26 deletions
+56
View File
@@ -0,0 +1,56 @@
// AppContext.swift
// OSGKeyboard · Shared
//
// Coarse classification of "where is the user typing right now?".
// We use it to pick a tone / style guideline for the LLM polish
// step (e.g. code stays technical, chat stays casual).
//
// The detection is best-effort and runs entirely in the keyboard
// extension iOS sandboxing blocks us from reading the foreground
// app's bundle ID, so we infer from text-content heuristics plus
// a 30-minute cache and a few environmental signals. See
// `AppContextDetector` for the actual algorithm.
import Foundation
public enum AppContext: String, Codable, Sendable, CaseIterable {
/// IDE / code editor / terminal.
case code
/// Mail composer (long form, formal-ish).
case email
/// IM / chat (short lines, casual).
case chat
/// Notes / long-form document.
case document
/// Anything we cannot classify confidently.
case unknown
/// User-facing label for the Settings view's preview banner.
public var labelKey: String {
switch self {
case .code: return "appContext.code"
case .email: return "appContext.email"
case .chat: return "appContext.chat"
case .document: return "appContext.document"
case .unknown: return "appContext.unknown"
}
}
/// Tone / style constraint appended to the LLM prompt. Kept
/// intentionally short the LLM does better with 1-2 sharp
/// instructions than a wall of rules.
public var polishGuideline: String {
switch self {
case .code:
return "Code context: preserve English identifiers, variable names, file paths, and indentation-relevant whitespace exactly. Do not natural-language them. Keep code snippets unformatted; do not wrap in code fences."
case .email:
return "Email context: you may add a polite greeting or sign-off if the user clearly forgot one. Reasonable paragraph breaks. Keep tone professional but not stiff."
case .chat:
return "Chat context: keep it short, conversational, and emoji-friendly. Drop formalities. Preserve the speaker's casual voice."
case .document:
return "Document context: add structure — split into paragraphs, use lists when the user enumerates. Keep tone written-formal. Do not invent headings the user did not say."
case .unknown:
return "Unknown context: pick a neutral, friendly tone. Err on the side of minimal changes."
}
}
}
@@ -0,0 +1,131 @@
// PersonalDictionary.swift
// OSGKeyboard · Shared
//
// User-curated list of terms the LLM must never rewrite. Persisted
// in the App Group (JSON-encoded) so both the main app's Settings
// UI and the keyboard extension's LLM call read the same data.
//
// Sources (mutually exclusive per entry):
// - `.manual` user typed it in by hand
// - `.history` auto-extracted from the user's transcription
// history by `DictionaryLearner`
// - `.contacts` imported from the iOS Contacts framework
// - `.recentEdit` extracted from edits the user made to a
// polished transcript before sending
//
// The dictionary is intentionally read-mostly: writes only happen
// from the main app (or from a low-frequency background task). The
// keyboard extension never writes to it.
import Foundation
public struct PersonalDictionary: Codable, Sendable, Equatable {
public var entries: [Entry]
public var version: Int
public init(entries: [Entry] = [], version: 1) {
self.entries = entries
self.version = version
}
public struct Entry: Codable, Sendable, Equatable, Identifiable {
public let id: UUID
public var term: String
public var aliases: [String]
public var category: Category
public var source: Source
public var createdAt: Date
public var usageCount: Int
public init(
id: UUID = UUID(),
term: String,
aliases: [String] = [],
category: Category,
source: Source,
createdAt: Date = Date(),
usageCount: Int = 0
) {
self.id = id
self.term = term
self.aliases = aliases
self.category = category
self.source = source
self.createdAt = createdAt
self.usageCount = usageCount
}
public enum Category: String, Codable, Sendable, CaseIterable {
/// Person / place / brand / organization.
case properNoun
/// API, framework, library, language, file format.
case technical
/// Initialism like LLM, iOS, ML.
case acronym
/// Product name (Typeless, OSGKeyboard, ChatGPT).
case productName
/// Anything that does not fit the above.
case custom
public var labelKey: String {
switch self {
case .properNoun: return "dict.category.properNoun"
case .technical: return "dict.category.technical"
case .acronym: return "dict.category.acronym"
case .productName: return "dict.category.productName"
case .custom: return "dict.category.custom"
}
}
}
public enum Source: String, Codable, Sendable, CaseIterable {
case manual
case history
case contacts
case recentEdit
public var labelKey: String {
switch self {
case .manual: return "dict.source.manual"
case .history: return "dict.source.history"
case .contacts: return "dict.source.contacts"
case .recentEdit: return "dict.source.recentEdit"
}
}
}
/// Renders the entry for the LLM prompt. Includes aliases
/// in parentheses so the LLM recognizes voice variants
/// ("k8s" "Kubernetes") without renaming.
public func promptFragment() -> String {
if aliases.isEmpty { return term }
return "\(term)\(aliases.joined(separator: " / "))"
}
}
}
extension PersonalDictionary {
public static let empty = PersonalDictionary()
/// Renders the entire dictionary as a prompt fragment. Entries
/// are grouped by category so the LLM can scan quickly. Empty
/// dictionary returns "" so the caller can blindly concatenate.
public func promptFragment() -> String {
guard !entries.isEmpty else { return "" }
let grouped = Dictionary(grouping: entries, by: { $0.category })
var lines: [String] = []
for category in Entry.Category.allCases {
guard let bucket = grouped[category], !bucket.isEmpty else { continue }
let terms = bucket
.sorted { $0.usageCount > $1.usageCount }
.map { $0.promptFragment() }
.joined(separator: "")
lines.append("\(category.rawValue)\(terms)")
}
guard !lines.isEmpty else { return "" }
return (
"以下为用户专有词汇,**必须**原样保留,**绝不**改写或翻译:" +
"\n" + lines.joined(separator: "\n")
)
}
}
@@ -0,0 +1,51 @@
// PolishContext.swift
// OSGKeyboard · Shared
//
// Bag of inputs the LLM polish service needs. Caller assembles it
// before calling `IntelligentPolishingService.polish(_:context:)`.
// Splitting it out keeps the polish service's signature stable as
// we add more signals (app context, intensity, personal dictionary,
// preceding text, etc.) over time.
import Foundation
public struct PolishContext: Sendable {
/// Coarse classification of the input field. When `.unknown` the
/// LLM is told to pick a neutral tone on its own.
public let appContext: AppContext
/// User-configured intensity. Drives how aggressively the LLM
/// is allowed to rewrite.
public let intensity: PolishIntensity
/// Optional preceding text (e.g. a few hundred characters of
/// what the user already typed before the recording). The LLM
/// uses it to resolve "this / / " references and to
/// bias terminology choices.
public let precedingText: String?
/// Cap on how many characters of `precedingText` we actually
/// include in the prompt. The full preceding text is often
/// hundreds of KB in a long note we only need the tail.
public let maxPrecedingChars: Int
public init(
appContext: AppContext = .unknown,
intensity: PolishIntensity = .default,
precedingText: String? = nil,
maxPrecedingChars: Int = 500
) {
self.appContext = appContext
self.intensity = intensity
self.precedingText = precedingText
self.maxPrecedingChars = maxPrecedingChars
}
/// Truncated view of `precedingText` ready for prompt injection.
/// Returns `nil` when there is nothing meaningful to add.
public var precedingForPrompt: String? {
guard let raw = precedingText, !raw.isEmpty else { return nil }
if raw.count <= maxPrecedingChars { return raw }
return String(raw.suffix(maxPrecedingChars))
}
}
@@ -0,0 +1,76 @@
// PolishIntensity.swift
// OSGKeyboard · Shared
//
// How aggressively the LLM should rewrite the ASR transcript.
//
// Persisted in `AppGroupStore` via `ProviderConfig` so the keyboard
// extension can honour the chosen intensity during live dictation.
import Foundation
public enum PolishIntensity: String, Codable, Sendable, CaseIterable {
/// Engine is in pure ASR mode (local + cloud-polish-off). The LLM
/// is never called; the raw transcript is inserted as-is. This
/// value is mostly a UI default the actual behaviour is
/// determined by `engineMode` + `localModeCloudPolishEnabled`.
case off
/// Drop only isolated filler words ( / / / / )
/// and obvious duplicated fragments. Everything else stays.
case light
/// Correction + light polish: drop fillers, fix homophone errors,
/// adjust obviously-broken word order, add punctuation. Preserves
/// the speaker's voice and intent.
case medium
/// Full structural rewrite: split long sentences, auto-number
/// enumerated items, format as paragraphs / lists. Use for
/// meeting notes, weekly reports, blog drafts.
case heavy
/// User-facing label key for the Settings picker. Localized
/// through `SharedL10n` so the same key works in the main app
/// and the keyboard extension.
public var labelKey: String {
switch self {
case .off: return "polish.intensity.off"
case .light: return "polish.intensity.light"
case .medium: return "polish.intensity.medium"
case .heavy: return "polish.intensity.heavy"
}
}
/// Short description shown under the picker. Same localization
/// story as `labelKey`.
public var descriptionKey: String {
switch self {
case .off: return "polish.intensity.off.desc"
case .light: return "polish.intensity.light.desc"
case .medium: return "polish.intensity.medium.desc"
case .heavy: return "polish.intensity.heavy.desc"
}
}
/// Inline guideline injected into the LLM prompt. The polish
/// service appends this verbatim so the LLM has an explicit,
/// non-ambiguous constraint per call.
public var promptGuideline: String {
switch self {
case .off:
return "Do not change the input at all. Output the original text verbatim."
case .light:
return "Only remove isolated filler words (嗯, 呃, 那个, 就是, 然后, 对, ok) and obvious duplicated fragments. Do not change any other words, word order, or punctuation."
case .medium:
return "Correct obvious speech-recognition errors (homophones, missing/extra characters). Remove filler words and duplicated fragments. Adjust obviously-broken word order. Add punctuation. Do not restructure sentences, invent facts, or change the speaker's voice."
case .heavy:
return "Apply medium corrections, then optionally restructure: split long sentences, auto-number enumerated items into markdown lists, group related ideas into paragraphs. Preserve every fact, number, and proper noun."
}
}
}
extension PolishIntensity {
/// Default for new installs. `medium` is what Typeless and Wispr
/// Flow also use as their first-run default.
public static let `default`: PolishIntensity = .medium
}
@@ -39,6 +39,8 @@ public final class ProviderConfig: ObservableObject, @unchecked Sendable {
// in the local engine. Default `false` keeps the local engine
// truly local unless the user explicitly opts in.
static let localModeCloudPolishEnabled = "config.localModeCloudPolishEnabled"
// v0.3.0: how aggressively the LLM should rewrite transcripts.
static let polishIntensity = "config.polishIntensity"
}
@Published public var providerId: String {
@@ -115,6 +117,13 @@ public final class ProviderConfig: ObservableObject, @unchecked Sendable {
@Published public var uiLanguage: AppUILanguage {
didSet { defaults.set(uiLanguage.rawValue, forKey: Key.uiLanguage) }
}
/// v0.3.0: how aggressively the LLM should rewrite the ASR
/// transcript. Default is `medium` (Typeless-equivalent). The
/// `off` value never calls the LLM equivalent to "transcribe
/// only" regardless of `engineMode`.
@Published public var polishIntensity: PolishIntensity {
didSet { defaults.set(polishIntensity.rawValue, forKey: Key.polishIntensity) }
}
public var isConfigured: Bool {
// Local engine (on-device ASR only) doesn't need an API key,
@@ -193,6 +202,15 @@ public final class ProviderConfig: ObservableObject, @unchecked Sendable {
self.uiLanguage = AppUILanguage.fromStored(
resolvedDefaults.string(forKey: Key.uiLanguage)
)
// v0.3.0: polish intensity. Default to `.medium` for new
// installs and upgrades; the existing `off` / `light` /
// `heavy` values are honored.
if let raw = resolvedDefaults.string(forKey: Key.polishIntensity),
let intensity = PolishIntensity(rawValue: raw) {
self.polishIntensity = intensity
} else {
self.polishIntensity = .default
}
// Cloud no longer exposes off/transcribe; migrate legacy values.
if self.engineMode == "cloud", self.modeId != "polish" {