Summarize the thread so far.js

/*
activation_example:!catchmeup or !summary
regex:!(catchmeup|summary|catchup)
flags:gmi
*/

(function(current) {
    var si = new Slacker();
    var thread_ts = current.getValue('thread_ts');

    // Commented out code block
    // if (!thread_ts) {
    //     message = 'This command is only usable in a thread.';
    //     si.send_chat(current, message, false);
    //     return null;
    // }

    function findWordAfterDashDash(str) {
        var match = str.match(/--\s*(.+)/);
        return match ? " in the style of " + match[1] : "";
    }
    var style = findWordAfterDashDash(current.text);

    var chats = [];
    var nda = false;
    var chatGr = new GlideRecord('x_snc_pointsthing_chat');
    if (thread_ts) {
        chatGr.addEncodedQuery('thread_ts=' + thread_ts + '^ORts=' + thread_ts + '^textNOT LIKE!catchmeup^textNOT LIKE!summary^textNOT LIKE!catchup');
    } else {
        chatGr.addEncodedQuery('channel=' + current.getValue('channel') + '^sys_created_onRELATIVEGT@minute@ago@60^thread_ts=NULL^textNOT LIKE!catchmeup^textNOT LIKE!summary^textNOT LIKE!catchup');
    }
    chatGr.orderBy('sys_created_on');
    chatGr.query();
    while (chatGr.next()) {
        var chat = chatGr.getDisplayValue('user') + ': ' + chatGr.getValue('text');
        if (chat.indexOf('!nda') > -1 || chat.indexOf('!confidential') > -1) {
            nda = true;
            break;
        }
        chats.push(chat);
    }

    if (nda) {
        if (thread_ts) {
            new x_snc_slackerbot.Slacker().send_chat(current, "This thread has been marked confidential and cannot be summarized.", false);
        } else {
            new x_snc_slackerbot.Slacker().send_chat(current, "This recent conversation has been marked confidential and cannot be summarized.", false);
        }
        return;
    }

    var prompt = current.text.replace(/!chatgpt/gmi, "").trim().substring(0, 1000);
    var chatReq = new sn_ws.RESTMessageV2();
    chatReq.setEndpoint('https://api.openai.com/v1/chat/completions');
    chatReq.setHttpMethod("POST");
    chatReq.setRequestHeader("Authorization", "Bearer " + gs.getProperty("openai.key"));
    chatReq.setRequestHeader('Content-Type', "application/json");
    chatReq.setRequestHeader('User-Agent', "ServiceNow");
    chatReq.setRequestHeader("Accept", "*/*");
    var body = {
        "model": "gpt-4o",
        "messages": [{
                "role": "system",
                "content": `
                    You are a Slack bot that enhances the formatting of messages to make them more engaging and visually appealing.
                    Utilize Slack's markdown language mrkdwn for various formatting elements.
                    Follow these instructions:
                    1. Enclose important words or phrases with *asterisks* for bold emphasis.
                    2. Enclose code and numbers and percentages using backticks, like \`this\`.
                    3. Use emojis when necessary to add expressiveness.
                    4. Organize text with numbered or bullet lists, using "-" for bullet points.
                    5. Combine bold and lists as needed: *Bold text*: normal text.
                    6. Italicize words like _this_.
                    7. Use blockquotes with ">" for quotes.
                    8. For URLs, use <http://example.com|Clickable link>.
                    9. Keep user (@user) and channel (#channel) tags unchanged.
                    Keep close to the original message tone and formatting.`
            },
            {
                "role": "user",
                "content": "summarize the following conversation" + style + ". You cannot ask for follow-up responses. Ignore the user named Slackbot.\n\n" + chats.join("\n")
            }
        ],
        // "max_tokens": 250
    };
    chatReq.setRequestBody(JSON.stringify(body));
    var chatResponse = chatReq.execute();
    gs.info(chatResponse.getBody());
    var chatResponseBody = JSON.parse(chatResponse.getBody());

    var show_tokens = false;
    var token_cost = show_tokens ? "> tokens: " + chatResponseBody.usage.total_tokens + " ($" + (parseInt(chatResponseBody.usage.total_tokens) * 0.000002).toFixed(6) + ")\n" : "";

    var intro = thread_ts ? "> This thread so far:\n" : "> Last 60 minutes summarized:\n";
    new x_snc_slackerbot.Slacker().send_chat(current, intro + token_cost + "\n" + chatResponseBody.choices[0].message.content, false);
})(current);