Files
oai-swift/oAI/Providers/AppleFoundationProvider.swift
T
runeandClaude Sonnet 5 377e783a17 Mark Apple Intelligence provider as Beta throughout the UI
Apple's Foundation Models framework is still under active development
(built against macOS 27 beta) and likely to stay rough for a while —
small 4K context window, occasional generation errors, no tool
support yet. Surface that clearly wherever it appears:
- Model name: "Apple On-Device (Beta)" (shows in header/model picker)
- Model description: notes the beta status and what to expect
- Settings -> General: "⚠️ Beta — ..." disclaimer under the Apple
  Intelligence section, same style as the existing Paperless-NGX beta
  note
- Credits panel: same disclaimer for the Apple Intelligence entry

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-24 10:21:41 +02:00

229 lines
9.3 KiB
Swift

//
// AppleFoundationProvider.swift
// oAI
//
// Apple Foundation Models provider (on-device Apple Intelligence)
//
// SPDX-License-Identifier: PolyForm-Noncommercial-1.0.0
// Copyright (C) 2026 Rune Olsen
//
// This file is part of oAI.
//
// oAI is licensed under the PolyForm Noncommercial License 1.0.0.
// You may use, study, modify, and share it for any noncommercial
// purpose. Commercial use — including selling oAI or any part of
// it, standalone or bundled into another product or service —
// requires a separate commercial license from the copyright holder.
//
// See the LICENSE file or
// <https://polyformproject.org/licenses/noncommercial/1.0.0> for
// the full license text. For commercial licensing, contact Rune
// Olsen via <https://oai.pm>.
import Foundation
import FoundationModels
import os
final class AppleFoundationProvider: AIProvider {
let name = "Apple Intelligence"
let capabilities = ProviderCapabilities(
supportsStreaming: true,
supportsVision: false,
supportsTools: false,
supportsOnlineSearch: false,
maxContextLength: 4096
)
// MARK: - Models
func listModels() async throws -> [ModelInfo] {
[
ModelInfo(
id: "apple-on-device",
name: "Apple On-Device (Beta)",
description: "On-device Apple Intelligence model. Private, free, and works offline. 4K context window. Apple's Foundation Models framework is still in active beta (currently macOS 27 beta) — expect occasional generation errors and rough edges.",
contextLength: 4096,
pricing: ModelInfo.Pricing(prompt: 0, completion: 0),
capabilities: ModelInfo.ModelCapabilities(
vision: false,
tools: false,
online: false
)
)
]
}
func getModel(_ id: String) async throws -> ModelInfo? {
try await listModels().first { $0.id == id }
}
func getCredits() async throws -> Credits? { nil }
// MARK: - Streaming chat
func streamChat(request: ChatRequest) -> AsyncThrowingStream<StreamChunk, Error> {
AsyncThrowingStream { continuation in
Task {
do {
let session = try self.makeSession(for: request)
let prompt = self.lastUserMessage(from: request)
// streamResponse(to: String) → ResponseStream<String>
// Each snapshot.content is the full accumulated text so far (snapshot model).
// We compute deltas by comparing each snapshot to the previous.
let stream = session.streamResponse(to: prompt)
var lastContent = ""
for try await snapshot in stream {
let current = snapshot.content
if current.count > lastContent.count {
let delta = String(current.dropFirst(lastContent.count))
continuation.yield(StreamChunk(
id: UUID().uuidString,
model: request.model,
delta: StreamChunk.Delta(content: delta, role: "assistant"),
finishReason: nil,
usage: nil
))
lastContent = current
}
}
continuation.yield(StreamChunk(
id: UUID().uuidString,
model: request.model,
delta: StreamChunk.Delta(content: nil, role: nil),
finishReason: "stop",
usage: nil
))
continuation.finish()
} catch {
continuation.finish(throwing: self.mapProviderError(error))
}
}
}
}
// MARK: - Non-streaming chat
func chat(request: ChatRequest) async throws -> ChatResponse {
let session = try makeSession(for: request)
let prompt = lastUserMessage(from: request)
do {
let response: LanguageModelSession.Response<String> = try await session.respond(to: prompt)
return ChatResponse(
id: UUID().uuidString,
model: request.model,
content: response.content,
role: "assistant",
finishReason: "stop",
usage: nil,
created: Date()
)
} catch {
throw mapProviderError(error)
}
}
// MARK: - Tool messages (not supported in Phase 1)
func chatWithToolMessages(model: String, messages: [[String: Any]], tools: [Tool]?, maxTokens: Int?, temperature: Double?) async throws -> ChatResponse {
throw ProviderError.unknown("Tool calling requires Apple Foundation Models Phase 3.")
}
// MARK: - Session construction
private func makeSession(for request: ChatRequest) throws -> LanguageModelSession {
guard case .available = SystemLanguageModel.default.availability else {
throw availabilityError()
}
// Build instructions: system prompt + prior conversation turns as formatted text.
// Foundation Models sessions don't accept a message array — we inject history inline.
var instructions = request.systemPrompt ?? ""
let priorMessages = request.messages.dropLast().filter { $0.role != .system }
if !priorMessages.isEmpty {
let history = priorMessages
.map { m -> String in
let label = m.role == .user ? "User" : "Assistant"
return "\(label): \(m.content)"
}
.joined(separator: "\n")
instructions += "\n\nConversation so far:\n\(history)\n\nContinue from here."
}
return instructions.isEmpty
? LanguageModelSession()
: LanguageModelSession(instructions: instructions)
}
private func lastUserMessage(from request: ChatRequest) -> String {
request.messages.last(where: { $0.role == .user })?.content ?? ""
}
// MARK: - Error mapping
private func availabilityError() -> Error {
switch SystemLanguageModel.default.availability {
case .unavailable(.deviceNotEligible):
return ProviderError.unknown("This Mac doesn't support Apple Intelligence. Apple Silicon is required.")
case .unavailable(.appleIntelligenceNotEnabled):
return ProviderError.unknown("Apple Intelligence is not enabled. Open System Settings → Apple Intelligence to turn it on.")
case .unavailable(.modelNotReady):
return ProviderError.unknown("Apple Intelligence model is still downloading. Please wait and try again.")
default:
return ProviderError.unknown("Apple Intelligence is not available on this device.")
}
}
/// Dispatches to whichever generation-error type the running OS actually throws.
/// `LanguageModelSession.GenerationError` was deprecated in macOS 27.0 in favor of the new
/// top-level `LanguageModelError` — on a macOS 27+ runtime, generation failures come through
/// as `LanguageModelError`, not `GenerationError`, even though the app's deployment target
/// (26.2) still needs to handle macOS 26.x runtimes throwing the older type.
private func mapProviderError(_ error: Error) -> Error {
if #available(macOS 27.0, *), let lmError = error as? LanguageModelError {
return mapLanguageModelError(lmError)
}
if let genError = error as? LanguageModelSession.GenerationError {
return mapGenerationError(genError)
}
return error
}
@available(macOS 27.0, *)
private func mapLanguageModelError(_ error: LanguageModelError) -> Error {
switch error {
case .contextSizeExceeded(let detail):
return ProviderError.unknown("Apple Intelligence context limit exceeded (\(detail.tokenCount)/\(detail.contextSize) tokens). Start a new chat or enable Progressive Summarization in Settings → Advanced.")
case .rateLimited:
return ProviderError.rateLimitExceeded
case .guardrailViolation:
return ProviderError.unknown("Apple Intelligence declined to respond to this message.")
case .timeout:
return ProviderError.timeout
default:
return error
}
}
/// macOS 26.x fallback — `GenerationError` is deprecated on macOS 27+ but still the type
/// actually thrown on 26.x runtimes, which the 26.2 deployment target must keep supporting.
private func mapGenerationError(_ error: LanguageModelSession.GenerationError) -> Error {
switch error {
case .exceededContextWindowSize:
return ProviderError.unknown("Apple Intelligence context limit exceeded (4,096 tokens). Start a new chat or enable Progressive Summarization in Settings → Advanced.")
case .rateLimited:
return ProviderError.rateLimitExceeded
case .guardrailViolation:
return ProviderError.unknown("Apple Intelligence declined to respond to this message.")
default:
return error
}
}
}