learning_ai_common_plat/packages/swift-platform-sdk

ByteLystPlatformSDK

Shared Swift platform client for all ByteLyst iOS/watchOS/macOS apps. Eliminates code duplication across products by providing a single source of truth for platform-service integration.

What's Inside

File	What It Does
BLPlatformConfig	Product-specific configuration (productId, baseURL, bundleId, appGroupId)
BLPlatformClient	Generic HTTP client with auth injection, x-request-id, timeout
BLKeychain	Keychain CRUD for secure token storage
BLTelemetryClient	Telemetry event queue + batch flush (matches @bytelyst/telemetry-client)
BLAuthClient	Auth operations: login, register, refresh, password ops, email verify, delete account (matches @bytelyst/auth-client)
BLFeatureFlagClient	Feature flag polling from platform-service /api/flags/poll
BLSyncEngine	Generic offline-first sync engine with delta pull + batch push
BLBlobClient	Azure Blob Storage upload via SAS tokens from platform-service
BLKillSwitchClient	Kill switch check from platform-service (fail-open)
BLLicenseClient	License key activation + status via platform-service
BLBiometricAuth	Face ID / Touch ID wrapper (LocalAuthentication)
BLCrashReporter	MetricKit crash and hang reporting with local storage
BLAuditLogger	Local rotating JSON audit log for debugging

Usage

1. Add to Xcode Project

In Xcode: File → Add Package Dependencies → Add Local... → select this directory:

../learning_ai_common_plat/packages/swift-platform-sdk/

Or in Package.swift:

.package(path: "../learning_ai_common_plat/packages/swift-platform-sdk")

2. Configure at App Launch

import ByteLystPlatformSDK

// Create config — one per app
let config = BLPlatformConfig.fromInfoPlist(
    productId: "peakpulse",
    defaultBaseURL: "https://api.peakpulse.app",
    bundleId: "com.saravana.peakpulse"
)

// Create shared HTTP client
let client = BLPlatformClient(config: config)

// Create services
let telemetry = BLTelemetryClient(config: config, client: client)
let auth = BLAuthClient(config: config, client: client)
let flags = BLFeatureFlagClient(config: config, client: client)

3. Telemetry

telemetry.start()
telemetry.trackEvent("info", module: "session", name: "session_started", metrics: ["elevation": 2450.0])
telemetry.trackScreen("live_tracking")
// On app background:
telemetry.stop()

4. Auth

// Login
let user = try await auth.login(email: "user@example.com", password: "secret")

// Restore on launch
await auth.restoreSession()

// Listen for state changes
auth.onAuthStateChanged = { state in
    switch state {
    case .loggedIn(let user): print("Hello, \(user.displayName)")
    case .loggedOut: print("Signed out")
    case .error(let msg): print("Auth error: \(msg)")
    case .loading: print("Loading...")
    }
}

5. Feature Flags

flags.start(userId: auth.accessToken != nil ? "user-id" : nil)
if flags.isEnabled("peakpulse.pro_charts") {
    // Show Pro charts
}

6. Sync Engine

// Implement your product-specific adapter
struct PeakSessionSyncAdapter: BLSyncAdapter {
    typealias SyncItem = PeakSessionDTO

    func pullDelta(since: Date?, client: BLPlatformClient) async throws -> [PeakSessionDTO] {
        var path = "/api/peak-sessions/sync"
        if let since { path += "?since=\(ISO8601DateFormatter().string(from: since))" }
        return try await client.request(path: path, responseType: [PeakSessionDTO].self)
    }

    func pushBatch(_ items: [BLOfflineQueueItem], client: BLPlatformClient) async throws -> BLBatchResult {
        let body = try JSONEncoder().encode(["items": items.compactMap(\.payload)])
        let (data, _) = try await client.rawRequest(path: "/api/peak-sessions/batch", method: "POST", body: body)
        return try JSONDecoder().decode(BLBatchResult.self, from: data)
    }
}

let syncEngine = BLSyncEngine(
    config: config,
    client: client,
    adapter: PeakSessionSyncAdapter()
)

Product Apps Using This SDK

Product	Repo	Wrappers	Status
ChronoMind	learning_ai_clock	5 files	✅ Migrated (Cloud/ + Diagnostics/)
LysnrAI	learning_voice_ai_agent	9 files	✅ Migrated (Auth/ + Util/)
MindLyst	learning_multimodal_memory_agents	4 files	✅ Migrated (Services/)
PeakPulse	learning_ai_peakpulse	—	New — will use SDK from day one
NomGap	learning_ai_fastgap	—	React Native — uses TS packages

What This Replaces

Before this SDK, each iOS app had its own copy of platform integration code:

ChronoMind (old)	LysnrAI (old)	MindLyst (old)	SDK (new)
KeychainHelper (53 lines)	KeychainHelper (60 lines)	KeychainHelper (60 lines)	BLKeychain
CMTelemetryService (139 lines)	TelemetryService (288 lines)	TelemetryService (139 lines)	BLTelemetryClient
CMAuthService (359 lines)	AuthService (421 lines)	AuthService (389 lines)	BLAuthClient
FeatureFlagService (72 lines)	FeatureFlagService (71 lines)	FeatureFlagService (72 lines)	BLFeatureFlagClient
CrashReporter (153 lines)	—	—	BLCrashReporter
—	BlobService (118 lines)	—	BLBlobClient
—	KillSwitchService (48 lines)	—	BLKillSwitchClient
—	LicenseService (135 lines)	—	BLLicenseClient
—	BiometricAuth (65 lines)	—	BLBiometricAuth
—	AuditLogger (70 lines)	—	BLAuditLogger
PlatformSyncManager (450 lines)	Various sync files	—	BLSyncEngine

Total duplicated code eliminated: ~2,600+ lines across 3 product apps.

Design Decisions

1. No @MainActor — the SDK is thread-safe via NSLock. Product apps can wrap in @MainActor at the view model layer.
2. No singletons — product apps own the lifecycle. Create instances at app launch, inject where needed.
3. No SwiftUI dependency — pure Foundation. Works in watchOS, macOS, widgets, extensions.
4. Protocol-based sync — BLSyncAdapter lets each product define its own DTOs and endpoints while reusing the queue/timer/conflict plumbing.
5. Fire-and-forget telemetry — errors never surface to the user. Matches the TypeScript package behavior.

Platforms

• iOS 17+
• watchOS 10+
• macOS 14+

Broadcast & Survey

New in v1.2: In-app messaging and survey capabilities.

Broadcast Client

import ByteLystPlatformSDK

let config = BLPlatformConfig(
    productId: "lysnrai",
    baseURL: URL(string: "https://api.bytelyst.io/v1")!,
    getAuthToken: { await getToken() }
)

let broadcastClient = BLBroadcastClient(config: config)

// Start polling for messages
broadcastClient.startPolling(intervalMs: 60000) { messages in
    // Handle new messages
}

// SwiftUI UI components
BLInAppMessageBanner(client: broadcastClient, position: .top)
BLBroadcastModal(client: broadcastClient)

Survey Client

let surveyClient = BLSurveyClient(config: config)

// Check for active surveys
let (survey, _) = await surveyClient.getActiveSurvey()

// Start and complete survey
await surveyClient.startSurvey(surveyId: survey.id)
await surveyClient.submitAnswer(surveyId: survey.id, questionId: "q1", answer: answer)
await surveyClient.completeSurvey(surveyId: survey.id)

// SwiftUI modal
BLSurveyModal(client: surveyClient)

See Broadcast & Survey Guide for full documentation.