ChatGPT 섀도우밴 확인하는 법

네트워크 탭 열어서 conversation (conversations?= 항목 말고) 찾아봐. 거기서 resolved_model_slug 확인해 보면 되는데, 만약 섀도우밴 당했으면 설정이랑 상관없이 무조건 gpt-5.5-mini로 연결될 거야. 사고 과정(Thinking traces)도 안 뜨고, "너 무슨 모델이야?"라고 물어보면 스스로 gpt-5.5-mini라고 답할 거다.

임시 섀도우밴 당했을 때 바로 알 수 있게 해주는 스크립트 하나 던져줄게.

// ==UserScript==
// @name ChatGPT Model Slug Detector
// @version 1.0
// @description Intercepts conversation network requests to display the resolved_model_slug
// @match https://chatgpt.com/\*
// @grant none
// @run-at document-start
// ==/UserScript==

(function() {
'use strict';

let currentSlug = "";

function updateDOM() {
    if (!currentSlug) return;

    const targetContainer = document.querySelector('header#page-header > div:first-child');
    if (!targetContainer) return;

    let badge = document.getElementById('chatgpt-model-slug-badge');

    if (!badge) {
        badge = document.createElement('div');
        badge.id = 'chatgpt-model-slug-badge';
        badge.className = 'text-token-text-secondary text-sm font-medium pointer-events-auto select-text';
        badge.style.marginTop = '4px';
        targetContainer.appendChild(badge);
    } else if (badge.parentElement !== targetContainer) {
        targetContainer.appendChild(badge);
    }

    if (badge.textContent !== currentSlug) {
        badge.textContent = currentSlug;
    }
}

const observer = new MutationObserver(() => {
    if (currentSlug) {
        updateDOM();
    }
});

document.addEventListener("DOMContentLoaded", () => {
    observer.observe(document.body, { childList: true, subtree: true });
});

const originalFetch = window.fetch;
window.fetch = async function(...args) {
    const response = await originalFetch.apply(this, args);
    const url = typeof args\[0\] === 'string' ? args\[0\] : (args\[0\] instanceof Request ? args\[0\].url : '');

    if (url.includes('/backend-api/f/conversation')) {
        const clone = response.clone();

        (async () => {
            try {
                const reader = clone.body.getReader();
                const decoder = new TextDecoder('utf-8');
                let done = false;
                let buffer = "";

                while (!done) {
                    const { value, done: readerDone } = await reader.read();
                    done = readerDone;

                    if (value) {
                        buffer += decoder.decode(value, { stream: true });
                        const slugMatch = buffer.match(/"resolved\_model\_slug":"(\[^"\]+)"/);

                        if (slugMatch && slugMatch\[1\]) {
                            currentSlug = slugMatch\[1\];
                            updateDOM();
                            break;
                        }
                    }
                }
            } catch (err) {}
        })();
    }

    return response;
};