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Copy pathChatModelEdit.swift
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256 lines (232 loc) · 9.48 KB
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import AIModel
import ComposableArchitecture
import Dependencies
import Keychain
import OpenAIService
import Preferences
import SwiftUI
import Toast
@Reducer
struct ChatModelEdit {
@ObservableState
struct State: Equatable, Identifiable {
var id: String
var name: String
var format: ChatModel.Format
var maxTokens: Int = 4000
var supportsFunctionCalling: Bool = true
var modelName: String = ""
var ollamaKeepAlive: String = ""
var apiVersion: String = ""
var apiKeyName: String { apiKeySelection.apiKeyName }
var baseURL: String { baseURLSelection.baseURL }
var isFullURL: Bool { baseURLSelection.isFullURL }
var availableModelNames: [String] = []
var availableAPIKeys: [String] = []
var isTesting = false
var suggestedMaxTokens: Int?
var apiKeySelection: APIKeySelection.State = .init()
var baseURLSelection: BaseURLSelection.State = .init()
var enforceMessageOrder: Bool = false
var openAIOrganizationID: String = ""
var openAIProjectID: String = ""
var customHeaders: [ChatModel.Info.CustomHeaderInfo.HeaderField] = []
var openAICompatibleSupportsMultipartMessageContent = true
}
enum Action: Equatable, BindableAction {
case binding(BindingAction<State>)
case appear
case saveButtonClicked
case cancelButtonClicked
case refreshAvailableModelNames
case testButtonClicked
case testSucceeded(String)
case testFailed(String)
case checkSuggestedMaxTokens
case apiKeySelection(APIKeySelection.Action)
case baseURLSelection(BaseURLSelection.Action)
}
var toast: (String, ToastType) -> Void {
@Dependency(\.namespacedToast) var toast
return {
toast($0, $1, "ChatModelEdit")
}
}
@Dependency(\.apiKeyKeychain) var keychain
var body: some ReducerOf<Self> {
BindingReducer()
Scope(state: \.apiKeySelection, action: \.apiKeySelection) {
APIKeySelection()
}
Scope(state: \.baseURLSelection, action: \.baseURLSelection) {
BaseURLSelection()
}
Reduce { state, action in
switch action {
case .appear:
return .run { send in
await send(.refreshAvailableModelNames)
await send(.checkSuggestedMaxTokens)
}
case .saveButtonClicked:
return .none
case .cancelButtonClicked:
return .none
case .testButtonClicked:
guard !state.isTesting else { return .none }
state.isTesting = true
let model = ChatModel(state: state)
return .run { send in
do {
let configuration = UserPreferenceChatGPTConfiguration().overriding {
$0.model = model
}
let service = ChatGPTService(configuration: configuration)
let stream = service.send(TemplateChatGPTMemory(
memoryTemplate: .init(messages: [
.init(chatMessage: .init(
role: .system,
content: "You are a bot. Just do what is told."
)),
.init(chatMessage: .init(
role: .assistant,
content: "Hello"
)),
.init(chatMessage: .init(
role: .user,
content: "Respond with \"Test succeeded.\""
)),
.init(chatMessage: .init(
role: .user,
content: "Respond with \"Test succeeded.\""
)),
]),
configuration: configuration,
functionProvider: NoChatGPTFunctionProvider()
))
let streamReply = try await stream.asText()
await send(.testSucceeded(streamReply))
} catch {
await send(.testFailed(error.localizedDescription))
}
}
case let .testSucceeded(message):
state.isTesting = false
toast(message.trimmingCharacters(in: .whitespacesAndNewlines), .info)
return .none
case let .testFailed(message):
state.isTesting = false
toast(message.trimmingCharacters(in: .whitespacesAndNewlines), .error)
return .none
case .refreshAvailableModelNames:
if state.format == .openAI {
state.availableModelNames = ChatGPTModel.allCases.map(\.rawValue)
}
return .none
case .checkSuggestedMaxTokens:
switch state.format {
case .openAI:
if let knownModel = ChatGPTModel(rawValue: state.modelName) {
state.suggestedMaxTokens = knownModel.maxToken
} else {
state.suggestedMaxTokens = nil
}
return .none
case .googleAI:
if let knownModel = GoogleGenerativeAIModel(rawValue: state.modelName) {
state.suggestedMaxTokens = knownModel.maxToken
} else {
state.suggestedMaxTokens = nil
}
return .none
case .claude:
if let knownModel = ClaudeChatCompletionsService
.KnownModel(rawValue: state.modelName)
{
state.suggestedMaxTokens = knownModel.contextWindow
} else {
state.suggestedMaxTokens = nil
}
return .none
default:
state.suggestedMaxTokens = nil
return .none
}
case .apiKeySelection:
return .none
case .baseURLSelection:
return .none
case .binding(\.format):
return .run { send in
await send(.refreshAvailableModelNames)
await send(.checkSuggestedMaxTokens)
}
case .binding(\.modelName):
return .run { send in
await send(.checkSuggestedMaxTokens)
}
case .binding:
return .none
}
}
}
}
extension ChatModel {
init(state: ChatModelEdit.State) {
self.init(
id: state.id,
name: state.name,
format: state.format,
info: .init(
apiKeyName: state.apiKeyName,
baseURL: state.baseURL.trimmingCharacters(in: .whitespacesAndNewlines),
isFullURL: state.isFullURL,
maxTokens: state.maxTokens,
supportsFunctionCalling: {
switch state.format {
case .googleAI, .ollama, .claude:
return false
case .azureOpenAI, .openAI, .openAICompatible:
return state.supportsFunctionCalling
}
}(),
modelName: state.modelName.trimmingCharacters(in: .whitespacesAndNewlines),
openAIInfo: .init(
organizationID: state.openAIOrganizationID,
projectID: state.openAIProjectID
),
ollamaInfo: .init(keepAlive: state.ollamaKeepAlive),
googleGenerativeAIInfo: .init(apiVersion: state.apiVersion),
openAICompatibleInfo: .init(
enforceMessageOrder: state.enforceMessageOrder,
supportsMultipartMessageContent: state
.openAICompatibleSupportsMultipartMessageContent
),
customHeaderInfo: .init(headers: state.customHeaders)
)
)
}
func toState() -> ChatModelEdit.State {
.init(
id: id,
name: name,
format: format,
maxTokens: info.maxTokens,
supportsFunctionCalling: info.supportsFunctionCalling,
modelName: info.modelName,
ollamaKeepAlive: info.ollamaInfo.keepAlive,
apiVersion: info.googleGenerativeAIInfo.apiVersion,
apiKeySelection: .init(
apiKeyName: info.apiKeyName,
apiKeyManagement: .init(availableAPIKeyNames: [info.apiKeyName])
),
baseURLSelection: .init(baseURL: info.baseURL, isFullURL: info.isFullURL),
enforceMessageOrder: info.openAICompatibleInfo.enforceMessageOrder,
openAIOrganizationID: info.openAIInfo.organizationID,
openAIProjectID: info.openAIInfo.projectID,
customHeaders: info.customHeaderInfo.headers,
openAICompatibleSupportsMultipartMessageContent: info.openAICompatibleInfo
.supportsMultipartMessageContent
)
}
}