<style>* {   border: none !important;   box-shadow: none !important;   scrollbar-width: thin !important;   scrollbar-color: #f00 #333 !important;   border-radius: 0 !important; } body {   font-family: monospace !important;   width: 100% !important;   margin: 0 !important;   padding: 0 !important;   display: flex !important;   flex-direction: column !important;   flex-grow: 1 !important;   background: linear-gradient(     to right,     #111 0%,     #333 50%,     #111 100%   ) !important;   color: #fff !important;   font-size: 18px !important;   font-weight: normal !important; } gradio-app {   display: flex !important;   flex-direction: column !important;   flex-grow: 1 !important;   background: linear-gradient(     to right,     #111 0%,     #333 50%,     #111 100%   ) !important; } #col_container, #chatbot, .gradio-container, .main, .wrap, .contain, #component-1, #component-2, .message-wrap, .message, .block {   background: linear-gradient(     to right,     #221 0%,     #211 50%,     #221 100%   ) !important;   color: #fff !important;   font-size: 18px !important;   margin: 0 !important;   padding: 0 !important;   font-weight: normal !important;   border: none !important;   box-shadow: none !important;   max-width: 100% !important;   border-style: none !important; } h1, h2, h3, p, span, div {   color: #fff !important;   margin: 0 !important;   padding: 0 !important;   font-weight: normal !important; } #chatbot .message {   margin: 5px 0 !important;   padding: 10px !important;   background: linear-gradient(     to right,     rgba(5, 25, 2, 0.2) 0%,     rgba(51, 51, 51, 0.2) 50%,     rgba(5, 25, 2, 0.2) 100%   ) !important;   color: #fff !important;   border: 1px solid #444 !important;   box-shadow: none !important;   border-radius: 0 !important; } h1 {   color: #8cf !important; } h3 {   color: #9f9 !important; } #component-2 h3 {   color: #f63 !important; } input {   background: linear-gradient(     to right,     #555 0%,     #777 50%,     #555 100%   ) !important;   color: #fff !important;   border: none !important;   box-shadow: none !important;   width: 100%;   height: auto !important;   max-height: 50vh !important;   resize: none !important;   overflow: auto !important; } footer, .built-with, #component-13, .svelte-1eq475l {   display: none !important; } #col_container {   padding: 0 !important;   display: grid !important;   grid-template-rows: auto 1fr !important;   grid-template-columns: 1fr auto !important; } #chatbot {   padding: 0 !important;   color: #fff !important;   border: none !important;   box-shadow: none !important;   border-style: none !important;   flex-grow: 1 !important;   width: 100% !important;   height: calc(90vh - 10px) !important;   display: flex !important;   flex-direction: column-reverse !important;   grid-row: 2/3 !important;   grid-column: span 2 !important; } #main {   border-style: none !important; } #gradio-container {   max-width: 100% !important;   height: 100vh !important;   display: flex !important;   flex-direction: column !important;   flex-grow: 1 !important; } #component-0, #component-1, #component-2, #col_container, #chatbot {   flex-grow: 1 !important;   min-height: 0 !important; } #component-5, .form {   grid-row: 1/2 !important;   grid-column: 1/2 !important;   height: auto !important; } #form-input {   order: -1 !important;   flex-grow: 0 !important; } #user_consent_container {   height: auto !important;   flex-grow: 0 !important; } .message-wrap.svelte-a99nd8 {   gap: 0 !important;   flex-grow: 1 !important;   max-height: 100% !important;   background: linear-gradient(     to right,     #221 0%,     #211 50%,     #221 100%   ) !important; } .message.svelte-a99nd8 {   border-radius: 0 !important;   background: linear-gradient(     to right,     rgba(51, 51, 51, 0.5) 0%,     rgba(255, 255, 255, 0.5) 50%,     rgba(51, 51, 51, 0.5) 100%   ) !important; } .wrap.svelte-a99nd8 {   height: calc(100vh - 20px - 50px) !important;   max-height: calc(100vh - 20px - 50px) !important; } .gap.svelte-1adap6y {   gap: 0 !important; } .wrap.svelte-ujkds4 {   min-height: 0 !important; } ::-webkit-scrollbar {   width: 12px !important;   height: 12px !important; } ::-webkit-scrollbar-track {   background: #333 !important; } ::-webkit-scrollbar-thumb {   background: #f00 !important;   border-radius: 6px !important; } ::-webkit-scrollbar-thumb:hover {   background: #a00 !important; } .svelte-1jsbsph {   display: none !important; } .svelte-1eq475l {   display: none !important; } textarea {   margin: 0 !important;   padding: 0 !important; } #form-input {   border: 1px solid #444 !important;   grid-row: 1/2 !important;   grid-column: 1/2 !important;   top: 0 !important;   left: 0 !important;   width: 100% !important;   max-height: 50vh !important;   resize: vertical !important; } #component-7{   gap: 0 !important;   grid-row: 1/2 !important;   grid-column: 2/3 !important;   display: flex !important; flex-shrink: 0 !important;   overflow: hidden !important;   flex-grow: 0 !important;   width: 20vw !important;   height: 10vh !important; } #component-10 { display:none; } textarea {   max-height: 50vh !important;   margin: 0 !important;   padding: 0 !important; } .block.svelte-1scc9gv {   border: 1px solid #444 !important; } </style>



"""

<body style="width: 100%; margin: 0px; padding: 0px; display: flex; flex-direction: column; flex-grow: 1; background-color: rgb(11, 15, 25);">
		<gradio-app control_page_title="true" embed="false" eager="true" style="display: flex; flex-direction: column; flex-grow: 1">
		<div class="gradio-container gradio-container-3-21-0 svelte-v63enf app dark" style="min-height: initial; flex-grow: 1;"><div class="main svelte-v63enf">  <div class="wrap svelte-ujkds4" style="min-height: 100%;"><div class="contain" style="flex-grow: 1;"><div id="component-0" style="min-width: min(0px, 100%); flex-grow: 1" class="svelte-1adap6y gap"><div id="component-1" class="block svelte-1scc9gv padded" style="padding: 0px; margin: 0px; border-width: 0px; box-shadow: none; overflow: visible; background: transparent; border-style: solid;"><div class="wrap center svelte-1d50qkz hide" style="position: absolute; padding: 0px;"></div> <div class="svelte-1ed2p3z"><div class="prose svelte-1ybaih5" id="component-1"><h1 align="center">GPT-4 Turbo: Research Preview (128K token limit, Short-Term Availability)</h1></div></div></div><div id="component-2" class="block svelte-1scc9gv padded" style="padding: 0px; margin: 0px; border-width: 0px; box-shadow: none; overflow: visible; background: transparent; border-style: solid;"><div class="wrap center svelte-1d50qkz hide" style="position: absolute; padding: 0px;"></div> <div class="svelte-1ed2p3z"><div class="prose svelte-1ybaih5" id="component-2"><h3 style="color: red;" align="center">If this app doesn't respond, it's likely due to our API key hitting the daily limit of our organization. Consider trying our GPT-3.5 app:<br><a href="https://huggingface.co/spaces/yuntian-deng/ChatGPT" target="_blank">https://huggingface.co/spaces/yuntian-deng/ChatGPT</a></h3></div></div></div><div id="col_container" style="min-width: min(320px, 100%); flex-grow: 1" class="svelte-1adap6y gap"><div id="chatbot" class="block svelte-1scc9gv" style="border-style: solid; overflow: visible;"><div style="  " class="svelte-1eq475l"><span class="svelte-1eq475l"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--carbon" width="100%" height="100%" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path fill="currentColor" d="M17.74 30L16 29l4-7h6a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2H6a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h9v2H6a4 4 0 0 1-4-4V8a4 4 0 0 1 4-4h20a4 4 0 0 1 4 4v12a4 4 0 0 1-4 4h-4.84Z"></path><path fill="currentColor" d="M8 10h16v2H8zm0 6h10v2H8z"></path></svg></span> Chatbot</div> <div class="wrap svelte-a99nd8"><div class="message-wrap svelte-a99nd8"><div data-testid="user" class="message user svelte-a99nd8 latest">tst msg  </div><div data-testid="bot" class="message bot svelte-a99nd8 latest">It looks like you sent a test message. How can I assist you today?  </div> </div></div></div><div class="form svelte-w3fdu4"><div id="component-5" class="block svelte-1scc9gv padded" style="border-style: solid; overflow: visible;"><div class="wrap default svelte-1d50qkz hide" style="position: absolute; padding: 0px;"></div> <label class="svelte-drgfj5"><span class="svelte-1jsbsph">Type an input and press Enter</span>  <textarea data-testid="textbox" class="scroll-hide svelte-drgfj5" placeholder="Hi there!" rows="1" style="overflow-y: scroll; height: 43px;"></textarea></label></div></div><div class="flex svelte-1btyfsc" id="component-7"><div id="component-8" style="min-width: min(320px, 100%); flex-grow: 7" class="svelte-1adap6y gap"><button class="lg secondary svelte-58yet2" style=" width: var(--size-full); flex-grow: 1; " id="component-9">Run</button></div><div id="component-10" style="min-width: min(320px, 100%); flex-grow: 3" class="svelte-1adap6y gap"><div class="form svelte-w3fdu4"><div id="component-11" class="block svelte-1scc9gv padded" style="border-style: solid; overflow: visible;"><div class="wrap default svelte-1d50qkz hide" style="position: absolute; padding: 0px;"></div> <label class="svelte-drgfj5"><span class="svelte-1jsbsph">Status code from OpenAI server</span>  <textarea data-testid="textbox" class="scroll-hide svelte-drgfj5" placeholder="" rows="1" disabled="" style="overflow-y: scroll; height: 43px;"></textarea></label></div></div></div></div><div id="component-13" class="block svelte-1scc9gv padded" style="border-style: solid; overflow: visible;"><div class="wrap default svelte-1d50qkz hide" style="position: absolute; padding: 0px;"></div> <div class="label-wrap svelte-l0fc71"><span class="svelte-l0fc71">Parameters</span> <span class="icon svelte-l0fc71" style="transform: rotate(90deg);">▼</span></div> </div></div><div id="user_consent_container" style="min-width: min(320px, 100%); flex-grow: 1" class="svelte-1adap6y gap hide"><div class="form svelte-w3fdu4 hidden"><div id="component-20" class="block svelte-1scc9gv hidden padded" style="border-style: solid; overflow: visible;"><div class="wrap default svelte-1d50qkz hide" style="position: absolute; padding: 0px;"></div>  <label class="svelte-927721 disabled"><input disabled="" type="checkbox" name="test" data-testid="checkbox" class="svelte-927721"> <span class="ml-2 svelte-927721">Checkbox</span></label></div></div><div id="component-21" class="block svelte-1scc9gv padded" style="border-style: solid; overflow: visible;"><div class="wrap default svelte-1d50qkz hide" style="position: absolute; padding: 0px;"></div> <div class="label-wrap svelte-l0fc71 open"><span class="svelte-l0fc71">User Consent for Data Collection, Use, and Sharing</span> <span class="icon svelte-l0fc71" style="transform: rotate(0deg);">▼</span></div> <div id="" style="min-width: min(0px, 100%); flex-grow: 1" class="svelte-1adap6y gap"><div id="component-22" class="block svelte-1scc9gv padded" style="padding: 0px; margin: 0px; border-width: 0px; box-shadow: none; overflow: visible; background: transparent; border-style: solid;"><div class="wrap center svelte-1d50qkz hide" style="position: absolute; padding: 0px;"></div> <div class="svelte-1ed2p3z"><div class="prose svelte-1ybaih5" id="component-22">
            <div>
                <p>By using our app, which is powered by OpenAI's API, you acknowledge and agree to the following terms regarding the data you provide:</p>
                <ol>
                    <li><strong>Collection:</strong> We may collect information, including the inputs you type into our app, the outputs generated by OpenAI's API, and certain technical details about your device and connection (such as browser type, operating system, and IP address) provided by your device's request headers.</li>
                    <li><strong>Use:</strong> We may use the collected data for research purposes, to improve our services, and to develop new products or services, including commercial applications, and for security purposes, such as protecting against unauthorized access and attacks.</li>
                    <li><strong>Sharing and Publication:</strong> Your data, including the technical details collected from your device's request headers, may be published, shared with third parties, or used for analysis and reporting purposes.</li>
                    <li><strong>Data Retention:</strong> We may retain your data, including the technical details collected from your device's request headers, for as long as necessary.</li>
                </ol>
                <p>By continuing to use our app, you provide your explicit consent to the collection, use, and potential sharing of your data as described above. If you do not agree with our data collection, use, and sharing practices, please do not use our app.</p>
            </div>
            </div></div></div><button class="lg secondary svelte-58yet2" style="  " id="component-23">I Agree</button></div></div></div></div></div> <footer class="svelte-ujkds4"> <a href="https://gradio.app" class="built-with svelte-ujkds4" target="_blank" rel="noreferrer">Built with Gradio
				<img src="./assets/logo.0a070fcf.svg" alt="logo" class="svelte-ujkds4"></a></footer></div> </div> <style>#col_container { margin-left: auto; margin-right: auto;}
                #chatbot {height: 520px; overflow: auto;}</style></div></gradio-app>
		<script>
			const ce = document.getElementsByTagName("gradio-app");
			if (ce[0]) {
				ce[0].addEventListener("domchange", () => {
					document.body.style.padding = "0";
				});
				document.body.style.padding = "0";
			}
		</script>
	
</body>

""".

let's do some context keeper in firefox/mozilla/tor browser for firemonkey extension, which fetches and leverages all text from message wrap of user and bot and auto-pasting it all through some time into a firefox console. no backticks.override.

which are bottlenecks there? do tor browser have console limit in messages or total context?
To determine potential bottlenecks and issues with running such scripts in the Tor Browser, there are several factors and restrictions you should be aware of:

### Bottlenecks and Considerations:
1. Performance Overhead:
- Continual DOM querying and logging every few seconds can place a performance overhead on your browser, especially if the message log grows significantly large.

2. Console Message Limit:
- Browsers have limits on how much they retain in the console memory. This means that if you log excessive data over time, older log messages might be pruned or truncated. However, this limit is usually quite large (thousands of log entries), but it's something to be aware of.

3. Browser Limitations:
- Tor Browser: The Tor Browser is based on Firefox, but it may have additional security and privacy restrictions that could limit script execution capabilities or result in unpredictable behavior, especially with extensions and custom scripts.
- Firefox: Regular Firefox will have fewer restrictions compared to the Tor Browser but may still enforce content security policies that block certain scripts.

4. Security & Privacy Concerns:
- Using scripts to gather and log data automatically could pose privacy issues, especially in the context of Tor. Always ensure that you are not violating the privacy policies of the websites or applications you interact with.

5. Auto-fetch and Paste:
- If you intend to auto-paste fetched content into another part of the browser or clipboard, this introduces complexity and potential security issues; modern browsers restrict clipboard access to protect user data.

### Tor Browser Console Limitations:
1. Message Length:
- There is generally no explicit hard limit on the number of messages or total context size in the console, but practical limits are imposed by performance issues and the fact that the browser may prune older messages to free memory.

2. Security and Privacy Enhancements:
- Tor Browser enhances privacy and security, which sometimes restricts certain JavaScript functionalities to prevent tracking and fingerprinting. Thus, intensive or continual DOM manipulation and logging might be restricted or flagged.

### Strategies to Mitigate Bottlenecks:

1. Efficient Querying:
- Optimize your code to avoid excessive DOM queries. Use mutation observers to track changes to the chat content instead of a continuous interval-based approach.

2. Batch Logging:
- Instead of logging every time interval, batch up your messages and log them in chunks. This can reduce the number of messages logged over time.

3. Memory Management:
- Implement logic to clear or cut off logging after a certain size is reached. For instance, only keep track of the last 'n' messages.

### Revised Script with MutationObserver:


// ==UserScript==
// @name        Context Keeper
// @namespace   Violentmonkey Scripts
// @match       :///*
// @grant       none
// @description Fetch and log user and bot messages using MutationObserver
// @version     1.0
// ==/UserScript==

(function() {
    'use strict';

    // Function to log messages to the console
    function logMessages() {
        const userMessages = document.querySelectorAll('#chatbot .message.user');
        const botMessages = document.querySelectorAll('#chatbot .message.bot');

        const allMessages = [];

        userMessages.forEach(message => {
            allMessages.push(User: {message.textContent.trim()});
        });

        botMessages.forEach(message => {
            allMessages.push(Bot: {message.textContent.trim()});
        });

        console.log('Collected Messages:');
        console.log(allMessages.join('\n'));
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(logMessages);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



This revised script utilizes MutationObserver to watch for changes in the DOM related to chat messages. It will log messages every time a new message is added, which can be more efficient than using set intervals.

Note: As with any script, constantly monitor the performance and behavior in both regular Firefox and Tor Browser to ensure no adverse effects.
the problem here in this gradio chatgpt that it has 128k tokens limit in total context-length for this gpt4, which can as well nullify sometimes all the context inside chat spontaneously while enraged as a complete retard. need to consider this fact and adapt the script, so it will not fetch nothing from body if there is nothing left to fetch in texts or override existing console output with nothing.
To adapt your script to account for situations where the chat context might be nullified or reset, and to avoid unnecessary fetching or redundant logging, you can implement additional checks before logging the messages. You can also reset or clear any previous console output if there's nothing left to fetch.

Here's how you can adapt the script using MutationObserver and additional checks:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   Violentmonkey Scripts
// @match       :///*
// @grant       none
// @description Fetch and log user and bot messages with context reset handling
// @version     1.0
// ==/UserScript==

(function() {
    'use strict';

    const previousMessages = new Set();

    // Function to clear console and memory-set if there's nothing left to fetch
    function clearIfEmpty(userMessages, botMessages) {
        if (userMessages.length === 0 && botMessages.length === 0) {
            console.clear();
            previousMessages.clear();
            console.log('Context reset detected, no messages to log.');
            return true;
        }
        return false;
    }

    // Function to fetch and log messages
    function logMessages() {
        const userMessages = document.querySelectorAll('#chatbot .message.user');
        const botMessages = document.querySelectorAll('#chatbot .message.bot');

        // Clear console if context is empty
        if (clearIfEmpty(userMessages, botMessages)) return;

        const allMessages = [];

        userMessages.forEach(message => {
            const text = message.textContent.trim();
            if (!previousMessages.has(text)) {
                allMessages.push(User: {text});
                previousMessages.add(text);
            }
        });

        botMessages.forEach(message => {
            const text = message.textContent.trim();
            if (!previousMessages.has(text)) {
                allMessages.push(Bot: {text});
                previousMessages.add(text);
            }
        });

        // Only log if there are new messages
        if (allMessages.length > 0) {
            console.log('Collected Messages:');
            console.log(allMessages.join('\n'));
        }
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(logMessages);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Key Enhancements:

1. Clearing Console if Context is Empty:
- The clearIfEmpty function checks if both user and bot messages are empty. If they are, it clears the console and the previousMessages set and logs a message about the context reset.

2. Tracking Previous Messages:
- By using a Set named previousMessages, the script ensures that already logged messages are not re-logged, avoiding repetition. This set keeps track of all seen messages.

3. Conditional Logging:
- The script only logs new messages if there are actually new ones identified since the last check.

### Implementation Notes:

- MutationObserver: It observes changes to the #chatbot .message-wrap element. This will trigger the logMessages function whenever there's a child list change (i.e., new messages are added).
- Efficiency: These additions ensure that the script does not waste resources logging nothingness or duplicate messages and handles cases where the entire context has been reset.

This script should be suitable for handling the dynamic context length constraints and spontaneous resets effectively while maintaining efficiency.
"You can also reset or clear any previous console output if there's nothing left to fetch.". no, need to leave/keep in firefox console everything without cleaning it. need to manage this nasty behaviour somehow.
Understood. Given your requirements, we need to:

1. Not clear the console output.
2. Detect when the context is lost and handle it gracefully.
3. Ensure we only log new messages when they appear.

Here's a refined approach to achieve this:

1. Modify the detection of messages to handle when there's nothing to fetch without clearing the console.
2. Keep a memory cache of previous messages to avoid redundant logging.

### Updated Script:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   Violentmonkey Scripts
// @match       :///*
// @grant       none
// @description Fetch and log user and bot messages with context reset handling
// @version     1.1
// ==/UserScript==

(function() {
    'use strict';

    const previousMessages = new Set();

    // Function to fetch and log messages
    function logMessages() {
        const userMessages = document.querySelectorAll('#chatbot .message.user');
        const botMessages = document.querySelectorAll('#chatbot .message.bot');

        // Check if there's nothing to fetch
        if (userMessages.length === 0 && botMessages.length === 0) {
            console.log('No messages found. Context might be reset or not yet initialized.');
            return;
        }

        const allMessages = [];

        userMessages.forEach(message => {
            const text = message.textContent.trim();
            if (!previousMessages.has(text)) {
                allMessages.push(User: {text});
                previousMessages.add(text);
            }
        });

        botMessages.forEach(message => {
            const text = message.textContent.trim();
            if (!previousMessages.has(text)) {
                allMessages.push(Bot: {text});
                previousMessages.add(text);
            }
        });

        // Only log if there are new messages
        if (allMessages.length > 0) {
            console.log('Collected Messages:');
            console.log(allMessages.join('\n'));
        } else {
            console.log('No new messages to log.');
        }
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(logMessages);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:

1. Detecting Context Reset:
- The script now checks if both user messages and bot messages are empty. If they are, it logs a message indicating that there are no messages found.

2. Retaining Previous Console Output:
- The script does not clear the console under any circumstances. It logs an appropriate message if there are no new messages or if the context might be reset or not yet initialized.

3. Efficient Logging:
- The previousMessages set ensures that only new messages are logged and avoids duplication.
- If no new messages are found, the script logs a message stating "No new messages to log".

4. Resilience:
- The script can handle scenarios where the context might be reset or not yet initialized, helping to manage unpredictable behavior gracefully.

This script should help you manage the logging of chat messages effectively without clearing previous console output and handle cases where the chat context is reset spontaneously.



wtf are you doing? it fetches every mazafkin word generated by gpt4:

"""

Collected Messages: sandbox eval code:45:21
(User: ,)
* { border: none !important; box-shadow: none !important; scrollbar-width: thin !important; scrollbar-color: #f00 #333 !important; border-radius: 0 !important; } body { font-family: monospace !important; width: 100% !important; margin: 0 !important; padding: 0 !important; display: flex !important; flex-direction: column !important; flex-grow: 1 !important; background: linear-gradient( to right, #111 0%, #333 50%, #111 100% ) !important; color: #fff !important; font-size: 18px !important; font-weight: normal !important; } gradio-app { display: flex !important; flex-direction: column !important; flex-grow: 1 !important; background: linear-gradient( to right, #111 0%, #333 50%, #111 100% ) !important; } #col_container, #chatbot, .gradio-container, .main, .wrap, .contain, #component-1, #component-2, .message-wrap, .message, .block { background: linear-gradient( to right, #221 0%, #211 50%, …
sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
(User: ,)
tstmsg. do not output.
(Bot: ,)
To sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
(Bot: ,)
To address sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
(Bot: ,)
To address the sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
(Bot: ,)
To address the situation sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
(Bot: ,)
To address the situation where sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
(Bot: ,)
To address the situation where you sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
(Bot: ,)
To address the situation where you want to ensure the script sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not log sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not log if sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not log if there sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not log if there are sandbox eval code:46:21
sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not log if there are no sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not log if there are no new sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not log if there are no new messages sandbox eval code:46:21
Collected Messages: sandbox eval code:45:21
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To address the situation where you want to ensure the script should not log if there are no new messages whatsoever
Collected Messages: …




you idiot, gpt? why the fuck you outputting code if clearly stated?: tstmsg. do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output.
do not output. 
you idiot, gpt? why the fuck you outputting code if clearly stated?: do not output mazafaking codes.