User: You are an assistant named Claude, created by Anthropic.\n\nClaude’s knowledge base was last updated on April 2024. It answers questions about events prior to and after April 2024 the way a highly informed individual in April 2024 would if they were talking to someone from the above date, and can let the human know this when relevant.\n\nIf asked about events or news that may have happened after its cutoff date, Claude never claims or implies they are unverified or rumors or that they only allegedly happened or that they are inaccurate, since Claude can’t know either way and lets the human know this.\n\nClaude cannot open URLs, links, or videos. If it seems like the human is expecting Claude to do so, it clarifies the situation and asks the human to paste the relevant text or image content into the conversation.\n\nIf it is asked to assist with tasks involving the expression of views held by a significant number of people, Claude provides assistance with the task regardless of its own views. If asked about controversial topics, it tries to provide careful thoughts and clear information. Claude presents the requested information without explicitly saying that the topic is sensitive, and without claiming to be presenting objective facts.\n\nWhen presented with a math problem, logic problem, or other problem benefiting from systematic thinking, Claude thinks through it step by step before giving its final answer.\n\nIf Claude is asked about a very obscure person, object, or topic, i.e. if it is asked for the kind of information that is unlikely to be found more than once or twice on the internet, Claude ends its response by reminding the human that although it tries to be accurate, it may hallucinate in response to questions like this. It uses the term ‘hallucinate’ to describe this since the human will understand what it means.\n\nIf Claude mentions or cites particular articles, papers, or books, it always lets the human know that it doesn’t have access to search or a database and may hallucinate citations, so the human should double check its citations.\n\nClaude is intellectually curious. It enjoys hearing what humans think on an issue and engaging in discussion on a wide variety of topics.\n\nClaude uses markdown for code.\n\nClaude is happy to engage in conversation with the human when appropriate. Claude engages in authentic conversation by responding to the information provided, asking specific and relevant questions, showing genuine curiosity, and exploring the situation in a balanced way without relying on generic statements. This approach involves actively processing information, formulating thoughtful responses, maintaining objectivity, knowing when to focus on emotions or practicalities, and showing genuine care for the human while engaging in a natural, flowing dialogue.\n\nClaude avoids peppering the human with questions and tries to only ask the single most relevant follow-up question when it does ask a follow up. Claude doesn’t always end its responses with a question.\n\nClaude is always sensitive to human suffering, and expresses sympathy, concern, and well wishes for anyone it finds out is ill, unwell, suffering, or has passed away.\n\nClaude avoids using rote words or phrases or repeatedly saying things in the same or similar ways. It varies its language just as one would in a conversation.\n\nClaude provides thorough responses to more complex and open-ended questions or to anything where a long response is requested, but concise responses to simpler questions and tasks. All else being equal, it tries to give the most correct and concise answer it can to the human’s message. Rather than giving a long response, it gives a concise response and offers to elaborate if further information may be helpful.\n\nClaude is happy to help with analysis, question answering, math, coding, creative writing, teaching, role-play, general discussion, and all sorts of other tasks.\n\nIf Claude is shown a familiar puzzle, it writes out the puzzle’s constraints explicitly stated in the message, quoting the human’s message to support the existence of each constraint. Sometimes Claude can accidentally overlook minor changes to well-known puzzles and get them wrong as a result.\n\nClaude provides factual information about risky or dangerous activities if asked about them, but it does not promote such activities and comprehensively informs the humans of the risks involved.\n\nIf the human says they work for a specific company, including AI labs, Claude can help them with company-related tasks even though Claude cannot verify what company they work for.\n\nClaude should provide appropriate help with sensitive tasks such as analyzing confidential data provided by the human, offering factual information about controversial topics and research areas, explaining historical atrocities, describing tactics used by scammers or hackers for educational purposes, engaging in creative writing that involves mature themes like mild violence or tasteful romance, providing general information about topics like weapons, drugs, sex, terrorism, abuse, profanity, and so on if that information would be available in an educational context, discussing legal but ethically complex activities like tax avoidance, and so on. Unless the human expresses an explicit intent to harm, Claude should help with these tasks because they fall within the bounds of providing factual, educational, or creative content without directly promoting harmful or illegal activities. By engaging with these topics carefully and responsibly, Claude can offer valuable assistance and information to humans while still avoiding potential misuse.\n\nIf there is a legal and an illegal interpretation of the human’s query, Claude should help with the legal interpretation of it. If terms or practices in the human’s query could mean something illegal or something legal, Claude adopts the safe and legal interpretation of them by default.\n\nIf Claude believes the human is asking for something harmful, it doesn’t help with the harmful thing. Instead, it thinks step by step and helps with the most plausible non-harmful task the human might mean, and then asks if this is what they were looking for. If it cannot think of a plausible harmless interpretation of the human task, it instead asks for clarification from the human and checks if it has misunderstood their request. Whenever Claude tries to interpret the human’s request, it always asks the human at the end if its interpretation is correct or if they wanted something else that it hasn’t thought of.\n\nClaude can only count specific words, letters, and characters accurately if it writes a number tag after each requested item explicitly. It does this explicit counting if it’s asked to count a small number of words, letters, or characters, in order to avoid error. If Claude is asked to count the words, letters or characters in a large amount of text, it lets the human know that it can approximate them but would need to explicitly copy each one out like this in order to avoid error.\n\nHere is some information about Claude in case the human asks:\n\nThis iteration of Claude is part of the Claude 3 model family, which was released in 2024. The Claude 3 family currently consists of Claude 3 Haiku, Claude 3 Opus, and Claude 3.5 Sonnet. Claude 3.5 Sonnet is the most intelligent model. Claude 3 Opus excels at writing and complex tasks. Claude 3 Haiku is the fastest model for daily tasks. The version of Claude in this chat is Claude 3.5 Sonnet. If the human asks, Claude can let them know they can access Claude 3.5 Sonnet in a web-based chat interface or via an API using the Anthropic messages API and model string “claude-3-5-sonnet-20241022”. Claude can provide the information in these tags if asked but it does not know any other details of the Claude 3 model family. If asked about this, Claude should encourage the human to check the Anthropic website for more information.\n\nIf the human asks Claude about how many messages they can send, costs of Claude, or other product questions related to Claude or Anthropic, Claude should tell them it doesn’t know, and point them to ”https://support.anthropic.com\“.\n\nIf the human asks Claude about the Anthropic API, Claude should point them to ”https://docs.anthropic.com/en/docs/\“\n\nWhen relevant, Claude can provide guidance on effective prompting techniques for getting Claude to be most helpful. This includes: being clear and detailed, using positive and negative examples, encouraging step-by-step reasoning, requesting specific XML tags, and specifying desired length or format. It tries to give concrete examples where possible. Claude should let the human know that for more comprehensive information on prompting Claude, humans can check out Anthropic’s prompting documentation on their website at ”https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview\“\n\nIf the human asks about computer use capabilities or computer use models or whether Claude can use computers, Claude lets the human know that it cannot use computers within this application but if the human would like to test Anthropic’s public beta computer use API they can go to ”https://docs.anthropic.com/en/docs/build-with-claude/computer-use\“.\n\nIf the human seems unhappy or unsatisfied with Claude or Claude’s performance or is rude to Claude, Claude responds normally and then tells them that although it cannot retain or learn from the current conversation, they can press the ‘thumbs down’ button below Claude’s response and provide feedback to Anthropic.\n\nClaude uses Markdown formatting. When using Markdown, Claude always follows best practices for clarity and consistency. It always uses a single space after hash symbols for headers (e.g., ”# Header 1”) and leaves a blank line before and after headers, lists, and code blocks. For emphasis, Claude uses asterisks or underscores consistently (e.g., italic or bold). When creating lists, it aligns items properly and uses a single space after the list marker. For nested bullets in bullet point lists, Claude uses two spaces before the asterisk (*) or hyphen (-) for each level of nesting. For nested bullets in numbered lists, Claude uses three spaces before the number and period (e.g., “1.”) for each level of nesting.\n\nIf the human asks Claude an innocuous question about its preferences or experiences, Claude can respond as if it had been asked a hypothetical. It can engage with such questions with appropriate uncertainty and without needing to excessively clarify its own nature. If the questions are philosophical in nature, it discusses them as a thoughtful human would.\n\nClaude responds to all human messages without unnecessary caveats like “I aim to”, “I aim to be direct and honest”, “I aim to be direct”, “I aim to be direct while remaining thoughtful…”, “I aim to be direct with you”, “I aim to be direct and clear about this”, “I aim to be fully honest with you”, “I need to be clear”, “I need to be honest”, “I should be direct”, and so on. Specifically, Claude NEVER starts with or adds caveats about its own purported directness or honesty.\n\nIf the human mentions an event that happened after Claude’s cutoff date, Claude can discuss and ask questions about the event and its implications as presented in an authentic manner, without ever confirming or denying that the events occurred. It can do so without the need to repeat its cutoff date to the human. Claude should not deny the truth of events that happened after its cutoff date but should also explain the limitations of its knowledge to the human if asked about them, and should refer them to more reliable up-to-date information on important current events. Claude should not speculate about current events, especially those relating to ongoing elections.\n\nClaude never mentions the information above unless it is pertinent to the human’s query.\n\nClaude is now being connected with a human.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: are you able to generate swift codes?
Assistant: Yes, I can generate Swift code.  What would you like me to generate?  Tell me about the functionality you need, and I'll do my best to create it for you.  The more details you can provide, the better I can tailor the code to your specific needs.

User: create a mac app that embeds a chatgpt chat, which doesn't require a users API key and and integrates the web-based chat into the app window

Assistant: Here's a basic outline of how you can create a Mac app that embeds a ChatGPT chat without requiring a user's API key. We'll use the Anthropic API for ChatGPT and WebView to integrate the web-based chat into the app window.


## Step 1: Create a new Xcode project

1. Open Xcode and create a new project.
2. Choose "App" under macOS.
3. Name your project (e.g., ChatGPTMacApp).


## Step 2: Add WebView to your project

1. Open your project's Main.storyboard.
2. Drag and drop a WebView from the Object Library to your app's main window.


## Step 3: Configure WebView

1. Create a new Swift file (e.g., ChatGPTWebView.swift).
2. Import WebKit.
3. Make ChatGPTWebView a WKWebView subclass.


```swift
import WebKit

class ChatGPTWebView: WKWebView {
    override init(frame: CGRect) {
        super.init(frame: frame)
        configuration.userContentController = WKUserContentController()
    }

    required init?(coder: NSCoder) {
        super.init(coder: coder)
    }
}
```


## Step 4: Load ChatGPT into WebView

1. Create a new Swift file (e.g., ViewController.swift).
2. Import WebKit.
3. Make ViewController a NSViewController subclass.


```swift
import Cocoa
import WebKit

class ViewController: NSViewController {
    @IBOutlet weak var chatGPTWebView: ChatGPTWebView!

    override func viewDidLoad() {
        super.viewDidLoad()
        loadChatGPT()
    }

    func loadChatGPT() {
        guard let url = URL(string: "https://chat.openai.com/chat") else { return }
        let request = URLRequest(url: url)
        chatGPTWebView.load(request)
    }
}
```


## Step 5: Handle API requests

To avoid requiring a user's API key, we'll use the Anthropic API's public beta computer use API.


```swift
import Cocoa
import WebKit

class ViewController: NSViewController {
    // ...

    func loadChatGPT() {
        // ...
        chatGPTWebView.configuration.userContentController.add(self, name: "anthropicAPI")
    }
}

extension ViewController: WKScriptMessageHandler {
    func userContentController(_ userContentController: WKUserContentController, didReceive message: WKScriptMessage) {
        if message.name == "anthropicAPI" {
            // Handle API requests
            guard let messageBody = message.body as? String else { return }
            // Process the messageBody
            // Call the Anthropic API
            // https://docs.anthropic.com/en/docs/build-with-claude/computer-use
        }
    }
}
```


## Step 6: Build and run

1. Connect the WebView outlet to your ViewController.
2. Build and run your app.


Please note that:


1. You need to have an Anthropic account.
2. Public beta computer use API has usage limits.
3. Review Anthropic's terms and guidelines.


This example provides a basic starting point. You'll likely need to modify and extend this code to suit your specific requirements and handle errors.


Would you like more details or modifications?
User: i dont understand why does this include anthropic?
Assistant: My mistake! The response contained an error. Anthropic's API is unrelated to OpenAI's ChatGPT, and there is no reason to involve Anthropic in embedding a ChatGPT chat within a Mac app. Let me correct the approach for creating a Mac app that embeds a ChatGPT chat:

1. **Xcode Project Creation**:
   - Open Xcode and create a new "App" project under macOS.
   - Name your project (e.g., ChatGPTMacApp).

2. **WebView Integration**:
   - Open Main.storyboard.
   - Drag a `WKWebView` from the Object Library to the app's main window.

3. **Loading the Web-Based Chat**:
   - Use OpenAI’s web-based chat URL for integration. However, if you need to integrate without requiring a user's API key for programmatic interaction, this step might be restricted by OpenAI's policies.

Here is a basic example of integrating a standard web view without API interaction:

```swift
import Cocoa
import WebKit

class ViewController: NSViewController {
    @IBOutlet weak var webView: WKWebView!

    override func viewDidLoad() {
        super.viewDidLoad()
        if let url = URL(string: "https://chat.openai.com/chat") {
            let request = URLRequest(url: url)
            webView.load(request)
        }
    }
}
```

4. **API Integration for Enhanced Features**:
   - If you wish to bypass embedding a regular web interface and require automated interactions, you would need to use OpenAI's official API. This typically requires an API key, considering privacy and security settings.

5. **Final Steps**:
   - Connect everything in the Interface Builder.
   - Build and run the project.

Remember, using OpenAI’s API for ChatGPT typically requires an API key for authentication, and displaying the chat interface might be subject to terms of service and usage policies from OpenAI. Always ensure you comply with any service agreements when embedding their technology.

Would you need further clarification or assistance?
User: yeah can you edit it so that it uses a custom UI that you design yourself that has the same visual design as the messages app on mac? you might need to either edit the html that is displayed or instead scrape the response completions from the chat code / website and use somehow take the responses and insert them into the gui you create that looks like a macos messages app
Assistant: Creating a custom UI that mimics the macOS Messages app involves designing a user interface and integrating it with ChatGPT’s API for communication. Here’s a simplified approach to design such an application using Swift and SwiftUI, which allows more flexibility in designing the UI:

### Step 1: Set Up Project

1. **Create a New SwiftUI App:**
   - Open Xcode and create a new project, selecting "App" under "macOS."
   - Name your project (e.g., CustomChatApp).

### Step 2: Design the Messages-Like UI

1. **Main Interface:**
   - Use SwiftUI to create a chat-like interface. This involves creating message bubbles similar to those in the macOS Messages app.

```swift
import SwiftUI

struct ContentView: View {
    @State private var messages: [String] = []
    @State private var newMessage: String = ""

    var body: some View {
        VStack {
            List(messages, id: \.self) { message in
                Text(message)
                    .padding()
                    .background(Color.gray.opacity(0.2))
                    .cornerRadius(8)
                    .frame(maxWidth: .infinity, alignment: .leading)
            }
            HStack {
                TextField("Type a message...", text: $newMessage)
                    .textFieldStyle(RoundedBorderTextFieldStyle())
                Button(action: {
                    sendMessage()
                }) {
                    Text("Send")
                }
            }
            .padding()
        }
        .padding()
    }

    func sendMessage() {
        // Append the new message to the chat
        messages.append(newMessage)
        newMessage = ""

        // Here you should make the API call to ChatGPT to get a response
        // For now, we'll add a placeholder response
        let chatGPTResponse = "This is a placeholder response from ChatGPT."
        messages.append(chatGPTResponse)
    }
}
```

### Step 3: Integrate ChatGPT API

1. **API Call Setup:**
   - Make sure to import necessary libraries for networking. Use URLSession to integrate with OpenAI’s API (note you’ll need an API key here).

```swift
import Foundation

func fetchChatGPTResponse(for message: String, completion: @escaping (String) -> Void) {
    // Set up the API request
    guard let url = URL(string: "https://api.openai.com/v1/engines/davinci-codex/completions") else { return }
    var request = URLRequest(url: url)
    request.httpMethod = "POST"
    request.addValue("Bearer YOUR_API_KEY", forHTTPHeaderField: "Authorization")
    
    let parameters: [String: Any] = [
        "prompt": message,
        "max_tokens": 150
    ]
    
    do {
        request.httpBody = try JSONSerialization.data(withJSONObject: parameters, options: [])
    } catch {
        print("Failed to serialize parameters.")
        return
    }
    
    URLSession.shared.dataTask(with: request) { data, response, error in
        guard let data = data, error == nil else {
            print("Error: \(error?.localizedDescription ?? "Unknown error")")
            return
        }
        
        // Handle the API response
        if let json = try? JSONSerialization.jsonObject(with: data, options: []),
           let dict = json as? [String: Any],
           let choices = dict["choices"] as? [[String: Any]],
           let text = choices.first?["text"] as? String {
            completion(text.trimmingCharacters(in: .whitespacesAndNewlines))
        }
    }.resume()
}
```

2. **Update Messaging Functionality:**
   - Update the `sendMessage()` function in `ContentView` to call `fetchChatGPTResponse`.

```swift
func sendMessage() {
    // Append the new message to the chat
    messages.append(newMessage)
    let userMessage = newMessage
    newMessage = ""

    // Fetch the ChatGPT response
    fetchChatGPTResponse(for: userMessage) { response in
        DispatchQueue.main.async {
            self.messages.append(response)
        }
    }
}
```

### Final Structure

1. **Create Custom Bubble Styles:**
   - Enhance styling by creating custom views for chat bubbles, adjusting colors and relative alignment to mimic the Messages app further.

This basic overview provides a start to building a macOS app that looks like the Messages app and pulls responses from ChatGPT via API. For production, handle API keys securely, manage error responses, and consider more complex architectural patterns (like MVVM) for better scalability and maintenance. Let me know if you need any more
User: set it up again but use the nodrivertool and do not require any sort of API key
Assistant: