feat(app): add None LLM provider and graceful protocol generation fallback

Add "None (Transcript Only)" option to the LLM Provider picker, allowing
users to skip protocol generation entirely and save only raw transcripts.

When an LLM provider (Claude CLI or OpenAI API) fails, the pipeline now
saves the transcript and marks the job as done with a warning instead of
failing. Transcript saving and audio copying are decoupled from protocol
generation so they always succeed regardless of LLM availability.

- Add `.none` case to ProtocolProvider enum
- Split PipelineQueue: transcript/audio save always runs, LLM is optional
- Catch protocol generation errors gracefully (warn, don't fail)
- Add transcriptPath to PipelineJob for transcript-only job access
- Rename Settings picker label to "LLM Provider"
- Update roadmap: mark fallback as done, add re-process item

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: execsumo

app/MeetingTranscriber/Sources/AppSettings.swift

@@ -7,6 +7,7 @@ enum ProtocolProvider: String, CaseIterable {
         case claudeCLI
     #endif
     case openAICompatible
+    case none
 
     var label: String {
         switch self {
@@ -15,6 +16,7 @@ enum ProtocolProvider: String, CaseIterable {
         #endif
 
         case .openAICompatible: "OpenAI-Compatible API"
+        case .none: "None (Transcript Only)"
         }
     }
 }

app/MeetingTranscriber/Sources/MeetingTranscriberApp.swift

@@ -294,7 +294,7 @@ struct MeetingTranscriberApp: App {
         configurePipelineCallbacks()
     }
 
-    private func makeProtocolGenerator() -> ProtocolGenerating {
+    private func makeProtocolGenerator() -> ProtocolGenerating? {
         switch settings.protocolProvider {
         #if !APPSTORE
             case .claudeCLI:
@@ -315,6 +315,9 @@ struct MeetingTranscriberApp: App {
                 language: settings.transcriptionLanguageName,
                 customVocabulary: settings.customVocabulary,
             )
+
+        case .none:
+            nil
         }
     }
 
@@ -338,7 +341,8 @@ struct MeetingTranscriberApp: App {
         pipelineQueue.onJobStateChange = { [notifications] job, _, newState in
             switch newState {
             case .done:
-                notifications.notify(title: "Protocol Ready", body: job.meetingTitle)
+                let title = job.protocolPath != nil ? "Protocol Ready" : "Transcript Saved"
+                notifications.notify(title: title, body: job.meetingTitle)
 
             case .error:
                 if let err = job.error {
@@ -388,7 +392,7 @@ struct MeetingTranscriberApp: App {
 
     private func openLastProtocol() {
         if let job = pipelineQueue.completedJobs.last,
-           let path = job.protocolPath {
+           let path = job.protocolPath ?? job.transcriptPath {
             NSWorkspace.shared.open(path)
         }
     }

app/MeetingTranscriber/Sources/MenuBarView.swift

@@ -179,7 +179,7 @@ struct MenuBarView: View {
                 jobStateLabel(job)
             }
             Spacer()
-            if job.state == .done, let path = job.protocolPath {
+            if job.state == .done, let path = job.protocolPath ?? job.transcriptPath {
                 Button("Open") { onOpenProtocol(path) }
                     .font(.caption2)
             }

app/MeetingTranscriber/Sources/PipelineJob.swift

@@ -35,6 +35,7 @@ struct PipelineJob: Identifiable, Codable, Sendable {
     var state: JobState
     var error: String?
     var warnings: [String]
+    var transcriptPath: URL?
     var protocolPath: URL?
 
     init(
@@ -58,6 +59,7 @@ struct PipelineJob: Identifiable, Codable, Sendable {
         self.state = .waiting
         self.error = nil
         self.warnings = []
+        self.transcriptPath = nil
         self.protocolPath = nil
     }
 }

app/MeetingTranscriber/Sources/PipelineQueue.swift

@@ -14,7 +14,7 @@ class PipelineQueue {
     // Dependencies for processing
     let transcriptionEngine: FluidTranscriptionEngine?
     let diarizationFactory: (() -> DiarizationProvider)?
-    let protocolGeneratorFactory: (() -> ProtocolGenerating)?
+    let protocolGeneratorFactory: (() -> ProtocolGenerating?)?
     let outputDir: URL?
     let diarizeEnabled: Bool
     let numSpeakers: Int
@@ -96,7 +96,7 @@ class PipelineQueue {
     init(
         transcriptionEngine: FluidTranscriptionEngine,
         diarizationFactory: @escaping () -> DiarizationProvider,
-        protocolGeneratorFactory: @escaping () -> ProtocolGenerating,
+        protocolGeneratorFactory: @escaping () -> ProtocolGenerating?,
         outputDir: URL,
         logDir: URL? = nil,
         diarizeEnabled: Bool = false,
@@ -241,7 +241,7 @@ class PipelineQueue {
             isProcessing = false
             return
         }
-        guard let transcriptionEngine, let protocolGeneratorFactory, let outputDir else {
+        guard let transcriptionEngine, let outputDir else {
             logger.warning("Processing dependencies not configured — skipping")
             isProcessing = false
             return
@@ -285,23 +285,52 @@ class PipelineQueue {
                 }
             }
 
-            // --- Protocol Generation ---
-            updateJobState(id: job.id, to: .generatingProtocol)
-            startElapsedTimer()
-            let mdPath = try await generateAndSaveProtocol(
-                job: job, finalTranscript: finalTranscript,
-                generator: protocolGeneratorFactory(), outputDir: outputDir,
+            // --- Save Transcript & Audio ---
+            let protocolsDir = outputDir.appendingPathComponent("protocols")
+            let txtPath = try ProtocolGenerator.saveTranscript(
+                finalTranscript, title: job.meetingTitle, dir: protocolsDir,
             )
-            stopElapsedTimer()
-
-            // Update job with protocol path and mark done
             if let idx = jobs.firstIndex(where: { $0.id == job.id }) {
-                jobs[idx].protocolPath = mdPath
+                jobs[idx].transcriptPath = txtPath
             }
+            logger.info("Transcript saved: \(txtPath.lastPathComponent)")
+
+            let recordingsDir = outputDir.appendingPathComponent("recordings")
+            Self.copyAudioToOutput(
+                mixPath: job.mixPath, appPath: job.appPath, micPath: job.micPath,
+                title: job.meetingTitle, outputDir: recordingsDir,
+            )
+
+            // --- Protocol Generation (optional) ---
+            if let generator = protocolGeneratorFactory?() {
+                updateJobState(id: job.id, to: .generatingProtocol)
+                startElapsedTimer()
+                do {
+                    let mdPath = try await generateProtocol(
+                        job: job, finalTranscript: finalTranscript,
+                        generator: generator, protocolsDir: protocolsDir,
+                    )
+                    stopElapsedTimer()
+
+                    if let idx = jobs.firstIndex(where: { $0.id == job.id }) {
+                        jobs[idx].protocolPath = mdPath
+                    }
+                } catch is CancellationError {
+                    throw CancellationError()
+                } catch {
+                    stopElapsedTimer()
+                    logger.warning("Protocol generation failed, transcript saved: \(error.localizedDescription)")
+                    addWarning(id: job.id, "Protocol generation failed — raw transcript saved")
+                }
+            } else {
+                logger.info("No LLM provider configured — saving transcript only")
+            }
+
             updateJobState(id: job.id, to: .done)
             if let completed = jobs.first(where: { $0.id == job.id }), !completed.warnings.isEmpty {
+                let title = completed.protocolPath != nil ? "Protocol Ready" : "Transcript Saved"
                 NotificationManager.shared.notify(
-                    title: "Protocol Ready (with warnings)",
+                    title: "\(title) (with warnings)",
                     body: completed.warnings.joined(separator: "; "),
                 )
             }
@@ -582,20 +611,14 @@ class PipelineQueue {
         }
     }
 
-    /// Save transcript, generate protocol, save protocol, and copy audio files.
+    /// Generate protocol via LLM and save to markdown file.
     /// Returns the path to the saved protocol markdown file.
-    private func generateAndSaveProtocol(
+    private func generateProtocol(
         job: PipelineJob,
         finalTranscript: String,
         generator: ProtocolGenerating,
-        outputDir: URL,
+        protocolsDir: URL,
     ) async throws -> URL {
-        let protocolsDir = outputDir.appendingPathComponent("protocols")
-        let txtPath = try ProtocolGenerator.saveTranscript(
-            finalTranscript, title: job.meetingTitle, dir: protocolsDir,
-        )
-        logger.info("Transcript saved: \(txtPath.lastPathComponent)")
-
         let diarized = finalTranscript.range(of: #"\[\w[\w\s]*\]"#, options: .regularExpression) != nil
         let protocolMD = try await generator.generate(
             transcript: finalTranscript,
@@ -608,14 +631,6 @@ class PipelineQueue {
             fullMD, title: job.meetingTitle, dir: protocolsDir,
         )
         logger.info("Protocol saved: \(mdPath.lastPathComponent)")
-
-        // Move audio files to recordings subdirectory
-        let recordingsDir = outputDir.appendingPathComponent("recordings")
-        Self.copyAudioToOutput(
-            mixPath: job.mixPath, appPath: job.appPath, micPath: job.micPath,
-            title: job.meetingTitle, outputDir: recordingsDir,
-        )
-
         return mdPath
     }
 

app/MeetingTranscriber/Sources/SettingsView.swift

@@ -224,7 +224,7 @@ struct SettingsView: View {
 
             // swiftlint:disable:next closure_body_length
             Section("Protocol Generation") {
-                Picker("Provider", selection: $settings.protocolProvider) {
+                Picker("LLM Provider", selection: $settings.protocolProvider) {
                     ForEach(ProtocolProvider.allCases, id: \.self) { provider in
                         Text(provider.label).tag(provider)
                     }
@@ -309,6 +309,11 @@ struct SettingsView: View {
                             testConnection()
                         }
                     }
+
+                case .none:
+                    Text("Only the raw transcript will be saved — no LLM summarization.")
+                        .font(.caption)
+                        .foregroundStyle(.secondary)
                 }
 
                 HStack {

docs/roadmap.md

@@ -125,17 +125,24 @@ Several pipeline failures are logged but not surfaced to the user:
 - Show a warning badge on completed jobs that had degraded results
 - Add a "warnings" field to `PipelineJob` to track what was skipped/degraded
 
-### Protocol generation fallback
+### Protocol generation fallback — DONE
+
+**Status:** Implemented
+
+If the configured LLM provider (Claude CLI or OpenAI API) fails, the pipeline now saves the raw transcript and marks the job as done with a warning instead of failing the entire job. A "None (Transcript Only)" provider option is also available for users who don't want LLM summarization.
+
+### Re-process transcript-only jobs with LLM
 
 **Status:** Not started
 **Priority:** Medium
 
-If the configured protocol provider (Claude CLI or OpenAI API) fails, the entire job fails with no recovery. Both providers implement the same `ProtocolGenerating` protocol.
+When a job completes as transcript-only (either because the LLM provider was set to "None" or because protocol generation failed), users cannot re-process it with an LLM later without manually importing the audio again.
 
 **Implementation approach:**
-- Allow configuring a secondary/fallback provider in Settings
-- Wrap `protocolGeneratorFactory()` call in `PipelineQueue.processNext()` with a try/catch that attempts the fallback provider
-- Log which provider succeeded so the user knows
+- Add a "Generate Protocol" button on completed transcript-only jobs in the menu bar UI
+- Re-enter the pipeline at the protocol generation stage (transcript already saved)
+- Use the currently configured LLM provider (may differ from original run)
+- Need to store/locate the saved transcript path to avoid re-transcription
 
 ### Pipeline progress for long meetings