Add combine saved conversations feature (simple + AI-assisted merge)
Lets users multi-select 2+ saved conversations and merge them into one, either by chronological concatenation or by having the default model synthesize a single coherent conversation from the source transcripts. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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//
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// ConversationMergeService.swift
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// oAI
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//
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// Combine multiple saved conversations into one (simple concatenation or AI-assisted merge)
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//
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// SPDX-License-Identifier: AGPL-3.0-or-later
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// Copyright (C) 2026 Rune Olsen
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//
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// This file is part of oAI.
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//
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// oAI is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Affero General Public License as
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// published by the Free Software Foundation, either version 3 of the
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// License, or (at your option) any later version.
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//
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// oAI is distributed in the hope that it will be useful, but WITHOUT
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// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General
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// Public License for more details.
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//
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// You should have received a copy of the GNU Affero General Public
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// License along with oAI. If not, see <https://www.gnu.org/licenses/>.
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import Foundation
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import os
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enum CombineMode: String, Sendable {
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case simple
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case ai
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}
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enum MergeError: LocalizedError {
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case tooFewConversations
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case noDefaultModel
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case noAPIKey
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case invalidAIResponse(String)
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var errorDescription: String? {
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switch self {
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case .tooFewConversations:
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return "Select at least two conversations to combine."
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case .noDefaultModel:
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return "No default model is configured. Set one in Settings → General → Default Model."
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case .noAPIKey:
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return "No API key configured for the default provider. Add one in Settings."
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case .invalidAIResponse(let snippet):
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return "The model's response could not be parsed into a conversation: \(snippet)"
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}
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}
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}
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enum ConversationMergeService {
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static func merge(
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conversationIds: [UUID],
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name: String,
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mode: CombineMode,
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deleteOriginals: Bool
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) async throws -> Conversation {
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guard conversationIds.count >= 2 else {
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throw MergeError.tooFewConversations
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}
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let sources: [(Conversation, [Message])] = try conversationIds.compactMap { id in
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try DatabaseService.shared.loadConversation(id: id)
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}
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let mergedMessages: [Message]
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switch mode {
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case .simple:
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mergedMessages = simpleMerge(sources)
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case .ai:
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mergedMessages = try await aiMerge(sources)
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}
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let newConversation = try DatabaseService.shared.saveConversation(name: name, messages: mergedMessages)
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if deleteOriginals {
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for id in conversationIds {
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_ = try? DatabaseService.shared.deleteConversation(id: id)
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}
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}
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Log.db.info("Combined \(conversationIds.count) conversations into '\(name)' (mode: \(mode.rawValue), deleteOriginals: \(deleteOriginals))")
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return newConversation
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}
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private static func simpleMerge(_ sources: [(Conversation, [Message])]) -> [Message] {
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sources.flatMap { $0.1 }.sorted { $0.timestamp < $1.timestamp }
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}
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private struct MergedTurn: Codable {
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let role: String
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let content: String
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}
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private static func aiMerge(_ sources: [(Conversation, [Message])]) async throws -> [Message] {
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let settings = SettingsService.shared
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guard let modelId = settings.defaultModel, !modelId.isEmpty else {
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throw MergeError.noDefaultModel
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}
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guard let provider = ProviderRegistry.shared.getProvider(for: settings.defaultProvider) else {
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throw MergeError.noAPIKey
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}
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let transcript = sources.map { conversation, messages -> String in
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let body = messages.map { msg -> String in
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let label = msg.role == .user ? "**User:**" : "**Assistant:**"
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return "\(label) \(msg.content)"
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}.joined(separator: "\n\n")
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return "### Conversation: \(conversation.name)\n\n\(body)"
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}.joined(separator: "\n\n---\n\n")
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let mergePrompt = """
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Merge the following saved conversation transcripts into a single, coherent conversation. \
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Remove redundant or duplicate exchanges, keep the most informative answer when sources overlap, \
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preserve important details from each source, and do not invent facts that were not in the originals.
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Respond with ONLY a JSON array of message objects in logical order, each in the form \
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{"role": "user" or "assistant", "content": "..."}. Do not include any text outside the JSON array.
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\(transcript)
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"""
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let request = ChatRequest(
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messages: [Message(role: .user, content: mergePrompt)],
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model: modelId,
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stream: false,
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maxTokens: 4000,
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temperature: 0.3,
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topP: nil,
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systemPrompt: "You are a helpful assistant that merges chat conversation transcripts into one clean, coherent conversation.",
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tools: nil,
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onlineMode: false,
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imageGeneration: false
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)
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let response: ChatResponse
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do {
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response = try await provider.chat(request: request)
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} catch {
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Log.api.error("Conversation merge AI call failed: \(error.localizedDescription)")
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throw error
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}
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let turns = try parseTurns(from: response.content)
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let base = Date()
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return turns.enumerated().map { index, turn in
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Message(
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role: turn.role == "user" ? .user : .assistant,
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content: turn.content,
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timestamp: base.addingTimeInterval(TimeInterval(index)),
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modelId: modelId
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)
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}
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}
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private static func parseTurns(from raw: String) throws -> [MergedTurn] {
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var text = raw.trimmingCharacters(in: .whitespacesAndNewlines)
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if text.hasPrefix("```") {
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text = text.components(separatedBy: "\n").dropFirst().joined(separator: "\n")
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if text.hasSuffix("```") {
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text = String(text.dropLast(3))
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}
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text = text.trimmingCharacters(in: .whitespacesAndNewlines)
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}
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guard let data = text.data(using: .utf8),
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let turns = try? JSONDecoder().decode([MergedTurn].self, from: data),
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!turns.isEmpty else {
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throw MergeError.invalidAIResponse(String(raw.prefix(200)))
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}
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return turns
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}
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}
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