mirror of
https://github.com/h3pdesign/Neon-Vision-Editor
synced 2026-04-21 13:27:16 +00:00
338 lines
14 KiB
Swift
338 lines
14 KiB
Swift
import Foundation
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#if USE_FOUNDATION_MODELS && canImport(FoundationModels)
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import FoundationModels
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#endif
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#if false
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// This enum is defined in ContentView.swift; this is here to avoid redefinition errors.
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public enum AIModel {
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case appleIntelligence
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case grok
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// New cases (non-compiling stub for reference)
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case openAI
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case gemini
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}
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#endif
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/// MARK: - Types
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public protocol AIClient {
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func streamSuggestions(prompt: String) -> AsyncStream<String>
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}
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public struct AppleIntelligenceAIClient: AIClient {
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public init() {}
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public func streamSuggestions(prompt: String) -> AsyncStream<String> {
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#if USE_FOUNDATION_MODELS && canImport(FoundationModels)
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// Delegate to the centralized Apple Foundation Models streaming helper.
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return AppleFM.appleFMStream(prompt: prompt)
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#else
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return AsyncStream { continuation in
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Task {
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// Simulated on-device response; replace with real on-device API when available
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continuation.yield("Here is a suggestion:")
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try? await Task.sleep(nanoseconds: 200 * 1_000_000)
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continuation.yield(" the quick brown fox")
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try? await Task.sleep(nanoseconds: 200 * 1_000_000)
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continuation.yield(" jumps over the lazy dog.")
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continuation.finish()
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}
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}
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#endif
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}
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}
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final class OpenAIAIClient: AIClient {
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private let apiKey: String
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private let model: String
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init(apiKey: String, model: String = "gpt-4o-mini") {
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self.apiKey = apiKey
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self.model = model
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}
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func streamSuggestions(prompt: String) -> AsyncStream<String> {
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// For simplicity, use non-streaming completion and yield once. You can upgrade to SSE later.
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return AsyncStream { continuation in
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Task {
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do {
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guard let url = URL(string: "https://api.openai.com/v1/chat/completions") else {
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continuation.finish()
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return
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}
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var request = URLRequest(url: url)
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request.httpMethod = "POST"
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request.setValue("Bearer \(apiKey)", forHTTPHeaderField: "Authorization")
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request.setValue("application/json", forHTTPHeaderField: "Content-Type")
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let body: [String: Any] = [
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"model": model,
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"messages": [["role": "user", "content": prompt]],
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"max_tokens": 200
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]
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request.httpBody = try JSONSerialization.data(withJSONObject: body)
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let (data, response) = try await URLSession.shared.data(for: request)
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guard let http = response as? HTTPURLResponse, (200...299).contains(http.statusCode) else {
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continuation.finish()
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return
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}
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if let text = try? JSONSerialization.jsonObject(with: data) as? [String: Any],
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let choices = text["choices"] as? [[String: Any]],
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let first = choices.first,
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let msg = first["message"] as? [String: Any],
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let content = msg["content"] as? String {
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continuation.yield(content)
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}
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} catch { }
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continuation.finish()
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}
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}
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}
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}
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final class GeminiAIClient: AIClient {
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private let apiKey: String
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private let model: String
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init(apiKey: String, model: String = "gemini-2.5-flash-lite") {
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self.apiKey = apiKey
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self.model = model
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}
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func streamSuggestions(prompt: String) -> AsyncStream<String> {
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// Use text generation via non-streaming and yield once.
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return AsyncStream { continuation in
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Task {
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do {
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guard let url = URL(string: "https://generativelanguage.googleapis.com/v1beta/models/\(model):generateContent") else {
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continuation.finish()
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return
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}
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var request = URLRequest(url: url)
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request.httpMethod = "POST"
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request.setValue(apiKey, forHTTPHeaderField: "x-goog-api-key")
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request.setValue("application/json", forHTTPHeaderField: "Content-Type")
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let body: [String: Any] = [
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"contents": [[
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"parts": [["text": prompt]]
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]]
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]
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request.httpBody = try JSONSerialization.data(withJSONObject: body)
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let (data, response) = try await URLSession.shared.data(for: request)
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guard let http = response as? HTTPURLResponse, (200...299).contains(http.statusCode) else {
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continuation.finish()
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return
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}
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if let json = try? JSONSerialization.jsonObject(with: data) as? [String: Any],
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let candidates = json["candidates"] as? [[String: Any]],
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let first = candidates.first,
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let content = first["content"] as? [String: Any],
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let parts = content["parts"] as? [[String: Any]],
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let text = parts.first?["text"] as? String {
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continuation.yield(text)
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}
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} catch { }
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continuation.finish()
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}
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}
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}
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}
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final class AnthropicAIClient: AIClient {
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private let apiKey: String
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private let model: String
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init(apiKey: String, model: String = "claude-3-5-haiku-latest") {
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self.apiKey = apiKey
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self.model = model
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}
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func streamSuggestions(prompt: String) -> AsyncStream<String> {
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return AsyncStream { continuation in
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Task {
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do {
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guard let url = URL(string: "https://api.anthropic.com/v1/messages") else {
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continuation.finish()
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return
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}
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var request = URLRequest(url: url)
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request.httpMethod = "POST"
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request.setValue(apiKey, forHTTPHeaderField: "x-api-key")
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request.setValue("2023-06-01", forHTTPHeaderField: "anthropic-version")
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request.setValue("application/json", forHTTPHeaderField: "Content-Type")
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let body: [String: Any] = [
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"model": model,
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"max_tokens": 256,
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"messages": [
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["role": "user", "content": prompt]
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]
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]
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request.httpBody = try JSONSerialization.data(withJSONObject: body)
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let (data, response) = try await URLSession.shared.data(for: request)
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guard let http = response as? HTTPURLResponse, (200...299).contains(http.statusCode) else {
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continuation.finish()
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return
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}
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if let json = try JSONSerialization.jsonObject(with: data) as? [String: Any],
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let content = json["content"] as? [[String: Any]],
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let first = content.first,
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let text = first["text"] as? String {
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continuation.yield(text)
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} else if let json = try JSONSerialization.jsonObject(with: data) as? [String: Any],
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let message = json["message"] as? [String: Any],
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let content = message["content"] as? [[String: Any]],
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let first = content.first,
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let text = first["text"] as? String {
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continuation.yield(text)
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}
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} catch { }
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continuation.finish()
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}
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}
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}
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}
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// Streaming Grok AIClient using xAI API Server-Sent Events
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final class GrokAIClientStreaming: AIClient {
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private let apiKey: String
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private let model: String
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init(apiKey: String, model: String = "grok-3-beta") {
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self.apiKey = apiKey
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self.model = model
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}
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func streamSuggestions(prompt: String) -> AsyncStream<String> {
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return AsyncStream { continuation in
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// Build streaming request
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guard let url = URL(string: "https://api.x.ai/v1/chat/completions") else {
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continuation.finish()
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return
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}
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var request = URLRequest(url: url)
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request.httpMethod = "POST"
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request.setValue("Bearer \(apiKey)", forHTTPHeaderField: "Authorization")
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request.setValue("application/json", forHTTPHeaderField: "Content-Type")
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let body: [String: Any] = [
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"model": model,
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"messages": [["role": "user", "content": prompt]],
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"stream": true,
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"max_tokens": 200
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]
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request.httpBody = try? JSONSerialization.data(withJSONObject: body)
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let task = URLSession.shared.dataTask(with: request) { data, response, error in
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// Non-streaming fallback: yield once if server doesn't stream
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if let data, let http = response as? HTTPURLResponse, (200...299).contains(http.statusCode) {
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if let text = String(data: data, encoding: .utf8) {
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// Attempt to parse content quickly
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if let content = GrokAIClientStreaming.extractContent(from: data) {
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continuation.yield(content)
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} else {
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continuation.yield(text)
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}
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}
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}
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continuation.finish()
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}
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// Prefer streaming via bytes task when available
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if #available(macOS 12.0, *) {
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let session = URLSession(configuration: .default)
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Task {
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do {
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let (bytes, response) = try await session.bytes(for: request)
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guard let http = response as? HTTPURLResponse, (200...299).contains(http.statusCode) else {
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continuation.finish(); return
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}
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for try await line in bytes.lines {
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// xAI SSE format: lines starting with "data: {json}"
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guard line.hasPrefix("data:") else { continue }
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let jsonPart = line.dropFirst(5).trimmingCharacters(in: .whitespaces)
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if jsonPart == "[DONE]" { break }
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if let data = jsonPart.data(using: .utf8),
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let chunk = GrokAIClientStreaming.extractDelta(from: data), !chunk.isEmpty {
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continuation.yield(chunk)
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}
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}
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} catch {
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// Fall back to non-streaming task
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task.resume()
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}
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continuation.finish()
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}
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} else {
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// Fallback for older macOS
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task.resume()
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}
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}
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}
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private static func extractContent(from data: Data) -> String? {
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guard let obj = try? JSONSerialization.jsonObject(with: data) as? [String: Any],
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let choices = obj["choices"] as? [[String: Any]],
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let first = choices.first,
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let message = first["message"] as? [String: Any],
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let content = message["content"] as? String else { return nil }
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return content
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}
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private static func extractDelta(from data: Data) -> String? {
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guard let obj = try? JSONSerialization.jsonObject(with: data) as? [String: Any] else { return nil }
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if let choices = obj["choices"] as? [[String: Any]],
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let first = choices.first,
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let delta = first["delta"] as? [String: Any],
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let content = delta["content"] as? String {
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return content
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}
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// some providers may stream as { "choices": [{"message": {"content": "..."}}] }
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if let choices = obj["choices"] as? [[String: Any]],
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let first = choices.first,
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let message = first["message"] as? [String: Any],
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let content = message["content"] as? String {
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return content
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}
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return nil
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}
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}
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enum AIProviderTokenKey { case grok, openAI, gemini }
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struct AIClientFactory {
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static func makeClient(for model: AIModel,
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grokAPITokenProvider: () -> String? = { nil },
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openAIKeyProvider: () -> String? = { nil },
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geminiKeyProvider: () -> String? = { nil },
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anthropicKeyProvider: () -> String? = { nil }) -> AIClient? {
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switch model {
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case .appleIntelligence:
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// Default to Apple Intelligence client
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return AppleIntelligenceAIClient()
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case .grok:
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if let token = grokAPITokenProvider()?.trimmingCharacters(in: .whitespacesAndNewlines), !token.isEmpty {
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return GrokAIClientStreaming(apiKey: token)
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}
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// Fallback to Apple Intelligence when no Grok key
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return AppleIntelligenceAIClient()
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case .openAI:
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if let key = openAIKeyProvider()?.trimmingCharacters(in: .whitespacesAndNewlines), !key.isEmpty {
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return OpenAIAIClient(apiKey: key)
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}
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// Fallback to Apple Intelligence when no OpenAI key
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return AppleIntelligenceAIClient()
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case .gemini:
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if let key = geminiKeyProvider()?.trimmingCharacters(in: .whitespacesAndNewlines), !key.isEmpty {
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return GeminiAIClient(apiKey: key)
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}
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// Fallback to Apple Intelligence when no Gemini key
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return AppleIntelligenceAIClient()
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case .anthropic:
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if let key = anthropicKeyProvider()?.trimmingCharacters(in: .whitespacesAndNewlines), !key.isEmpty {
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return AnthropicAIClient(apiKey: key)
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}
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return AppleIntelligenceAIClient()
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}
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}
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}
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