The text you enter here is stored in plaintext in your browser\\'s local storage. It is not transmitted to the WebBrain project — but it is sent to whichever LLM provider you have configured on every turn, as part of the system prompt.
Do not put passwords for important accounts here (Google, Apple, iCloud, banking, work SSO, primary email). Those accounts should use 2FA and you shouldn\\'t need to hand them to an agent anyway.
A throwaway password you reuse for low-stakes site signups (newsletters, free trials, forum accounts) is the intended use case.
If this browser profile is ever compromised, an attacker with disk access can read this text. Keep it minimal.

',"," 'st.captcha.desc_html': 'Let the agent solve CAPTCHAs automatically via the CapSolver API. Supports reCAPTCHA v2/v3, hCaptcha, and Cloudflare Turnstile. Off by default — when off, the agent stops and asks you to solve the captcha yourself. CapSolver charges per solve (~$0.001–$0.003); you bring your own account and API key.',"," 'st.captcha.enabled.label': 'Enable CapSolver',"," 'st.captcha.enabled.desc': 'When the agent hits a CAPTCHA it will call CapSolver once before falling back to asking you. Requires an API key below.',"," 'st.captcha.api_key.label': 'CapSolver API Key',"," 'st.captcha.save': 'Save Key',"," 'st.captcha.check_balance': 'Check Balance',"," 'st.captcha.clear': 'Clear',"," 'st.captcha.saved': 'Saved.',"," 'st.captcha.cleared': 'Cleared.',"," 'st.captcha.checking': 'Checking balance…',"," 'st.captcha.need_key': 'Enter an API key first.',"," 'st.captcha.balance_ok': 'OK — balance: {balance}',"," 'st.captcha.balance_fail': 'Failed: {error}',"," 'st.captcha.security_html': 'Heads-up: the API key is stored in plaintext in browser local storage. CapSolver charges your account for every solve; the agent will only call it when a CAPTCHA actually blocks a step (max once per encounter — it won\\'t retry on failure). Some sites\\' terms of service prohibit automated CAPTCHA solving; use your judgement.',"," // --- Traces page -------------------------------------------------------"," 'tr.title': 'WebBrain Traces',"," 'tr.runs': '{n} runs',"," 'tr.run': '{n} run',"," 'tr.btn.refresh': '↻ Refresh',"," 'tr.btn.refresh.title': 'Reload run list',"," 'tr.btn.compare': '⇔ Compare',"," 'tr.btn.compare.title': 'Enter compare mode (pick 2 runs)',"," 'tr.btn.compare.picking': '⇔ Compare (pick 2)',"," 'tr.btn.export': '⇩ Export JSON',"," 'tr.btn.export.title': 'Export selected run as JSON',"," 'tr.btn.delete': '✕ Delete',"," 'tr.btn.delete.title': 'Delete selected run',"," 'tr.btn.clear_all': 'Clear all',"," 'tr.btn.clear_all.title': 'Delete every stored run',"," 'tr.filter.placeholder': 'Filter by task / model / URL',"," 'tr.filter.all_models': 'All models',"," 'tr.no_match': 'No runs match.',"," 'tr.no_task': '(no task)',"," 'tr.conversation.label': 'Conversation',"," 'tr.conversation.turn_of': 'turn {n} of {total}',"," 'tr.conversation.tooltip': 'Part of a {n}-turn conversation ({id}). Open the run to jump between turns.',"," 'tr.cost.label': 'Cost:',"," 'tr.cost.tooltip': 'Total LLM cost reported by the provider (USD). Highlighted in orange when ≥ $0.50 with no final answer — likely a wasted run.',"," 'tr.empty.title': 'No run selected.',"," 'tr.empty.hint_html': 'Pick a run from the left to see its step-by-step timeline. Click Compare to pick two runs and view them side-by-side.',"," 'tr.compare_mode.title': 'Compare mode',"," 'tr.compare_mode.picked': 'Picked {n}/2. Click another run to complete the comparison.',"," 'tr.compare_mode.hint': 'Click two runs in the list to compare them side-by-side.',"," 'tr.status.label': 'status',"," 'tr.steps.label': 'steps',"," 'tr.step': '{n} step',"," 'tr.steps_plural': '{n} steps',"," 'tr.duration.label': 'duration',"," 'tr.intokens.label': 'in-tokens',"," 'tr.outtokens.label': 'out-tokens',"," 'tr.tokens_short': '{n} tok',"," 'tr.unknown_model': 'unknown',"," 'tr.final_label': 'Final:',"," 'tr.deleted': 'Deleted.',"," 'tr.all_deleted': 'All runs deleted.',"," 'tr.select_first': 'Select a run first.',"," 'tr.confirm_delete': 'Delete this run?',"," 'tr.confirm_delete_all': 'Delete ALL recorded runs? This cannot be undone.',"," 'tr.event.llm_request': '→ LLM request',"," 'tr.event.llm_response': '← LLM response',"," 'tr.event.vision_sub_call': '👁 vision sub-call',"," 'tr.event.error_kind': '⚠ error',"," 'tr.event.messages_tools': '{m} messages, {t} tools · {model}',"," 'tr.event.screenshot_caption': 'screenshot',"," 'tr.event.screenshot_missing': '(screenshot blob missing)',"," 'tr.event.description_truncated': '... [truncated in compare view]',"," 'tr.event.vision_failed': 'vision sub-call failed: {error}',"," 'tr.event.description': 'description',"," 'tr.event.args': 'args',"," 'tr.event.result': 'result',"," 'tr.event.step': 'step {step}',","};","src/chrome/src/ui/locales/en.js",[890],{"_626":627,"_628":891,"_408":892,"_631":59},296,[632,633,634,635,255,636,637,638,639,640,641,893,894,895,896,897,898,899,900,642,643,644,645,646,647,255,648,255,649,650,651,652,255,653,654,655,656,657,658,255,659,660,255,661,662,663,664,255,665,666,667,255,668,669,670,255,671,672,255,673,674,675,676,255,677,678,679,680,255,681,682,683,255,684,685,255,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,255,708,709,710,711,712,713,714,715,716,717,255,718,719,720,721,255,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,255,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,255,770,771,772,773,774,775,776,777,778,779,780,781,782,783,255,784,785,786,787,788,789,790,791,792,793,794,255,795,796,797,798,799,800,801,802,803,804,805,255,806,807,808,809,810,811,812,813,814,815,255,816,817,818,819,820,821,822,823,824,825,826,827,828,829,255,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,255,845,846,847,848,255,849,850,851,255,852,853,255,854,855,255,856,857,858,255,859,860,861,862,863,864,865,866,867,868,255,869,870,871,872,873,255,874,875,876,877,878,879,880,881,882,883,884,885,886,887]," 'sp.record.stop': 'Stop',"," 'sp.record.banner_label': 'Recording',"," 'sp.record.error': 'Recording error: {error}',"," 'sp.record.saved': 'Saved {filename} to Downloads.',"," 'sp.record.transcribing': 'Transcribing audio with Whisper…',"," 'sp.record.transcribed': 'Transcript saved: {filename}',"," 'sp.record.transcribe_failed': 'Transcription failed: {error}',"," 'sp.record.summarize': 'Summarize',","src/firefox/src/ui/settings.js",[903],{"_626":627,"_628":904,"_408":905,"_631":59},1021,[906,907,908,255,909,255,910,911,912,255,913,914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,255,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947,948,949,950,951,952,953,954,255,955,956,957,958,255,959,960,961,962,963,964,965,966,967,968,969,964,970,971,967,957,255,972,973,974,975,976,255,977,978,979,980,255,981,255,982,983,984,985,986,987,988,255,989,990,991,992,993,994,995,996,997,998,999,1000,1001,1002,1003,1004,1005,993,1006,1007,1008,1009,1010,255,1011,1012,1013,1014,1015,1016,255,1017,1018,1019,1020,1021,1022,1023,255,1024,1025,1026,1027,255,1028,1029,1030,1031,255,1032,1033,1034,1035,1036,957,255,1037,255,1038,1039,1040,1041,1042,1043,1044,1045,1046,1047,1048,1049,1050,1040,1041,1042,1051,1045,1052,1047,1048,1053,993,957,255,1054,1055,1056,1057,957,255,1058,1059,957,255,1060,1061,1062,1063,1064,988,957,255,1065,1066,1067,1068,1069,1070,1071,965,1072,993,1073,255,1074,1033,1034,1035,1036,957,255,1075,255,1076,1077,1073,255,1078,1079,1073,255,1080,997,1073,255,1081,1082,1073,255,1083,1084,1085,967,1086,1087,1088,967,957,255,1089,1090,1073,255,1091,1092,1073,255,1093,1094,1073,255,1095,1096,1073,255,1097,1098,1073,255,1099,255,1100,1101,1102,1103,957,255,1104,1105,1106,1107,255,1108,1109,1110,1111,993,255,1112,1113,967,1114,1073,255,1115,1105,1106,1107,255,1116,1117,1118,1119,1111,993,255,1112,1113,967,255,1120,1121,1122,255,1123,1124,1125,1126,1050,1117,1127,993,1073,255,1128,1129,1130,1131,1132,1133,1073,255,1134,1135,1136,1137,1138,1139,1140,255,1141,1142,1143,1144,1145,957,255,1146,1147,1148,1149,1150,255,1151,1152,1153,1154,1155,255,1156,1157,1158,1159,967,957,255,1160,1161,1148,1149,1150,255,1162,1163,1164,1165,1154,1155,255,1156,1157,1158,255,1166,1167,1168,255,1169,1170,1171,1172,1173,1163,1174,1155,967,957,255,1175,1176,1177,1178,1179,1180,1181,967,957,255,1182,1183,1184,1185,255,1186,1187,1188,1189,1190,957,255,1191,1192,1193,967,957,255,1194,1195,1196,1197,1198,967,957,255,1199,1200,1201,1202,1203,967,957,255,1204,1205,255,1206,1207,1208,1209,1210,957,255,1211,1212,1213,967,957,255,1214,1215,1216,1217,1218,967,957,255,1219,1220,1216,1221,1222,1154,1155,1223,1224,1225,1226,1170,1227,1173,1228,1155,967,957,255,1229,1230,1231,1232,1233,1234,967,957,255,1235,255,1236,1237,255,1238,1239,1240,1241,1242,1243,1244,1245,1246,1247,1248,1249,1250,1251,1252,1253,1244,1254,1255,1256,1248,1249,1250,1257,1244,1258,1259,1247,1248,1249,1250,1260,1244,1261,1262,1247,1248,1249,1250,1263,1244,1264,1265,1266,1249,1250,1267,1244,1268,1269,1270,1249,1250,1271,1244,1272,1273,1274,1249,1250,1275,1244,1276,1277,1278,1249,1250,1279,1244,1280,1281,1282,1249,1250,1283,1244,1264,1284,1285,1249,1250,1286,1244,1287,1288,1289,1249,1250,1290,1244,1291,1292,1293,1249,1250,1294,1244,1295,1296,1297,1249,1250,1298,1299,1300,1301,1244,1273,1249,1250,1302,255,1303,1304,255,1305,1306,1307,1308,1309,255,1310,1311,1312,255,1313,1314,1315,1316,1317,1155,255,1318,1319,1320,1321,1322,1323,1324,1325,1326,1327,1328,1329,1330,1331,1332,1333,1334,1335,1336,1337,1338,1339,1340,1341,1342,1343,1344,1345,1346,1347,1348,1349,1350,1351,1349,1332,1352,1353,1354,1355,1356,1357,1337,1338,1358,1155,255,1359,1360,1361,1362,1363,1364,1365,1047,1366,1048,255,1367,993,255,1368,1369,1370,1371,1372,993,255,1373,1374,967,1375,1376,967,1377,1378,967,1379,1380,967,1381,1382,967,1383,1384,967,1385,1386,967,1387,1388,1389,967,957,255,906,1390,908,1391,1392,1393,1394,1395,1396,1397,1398,1399,1400,1401,1402,1403,1404,1405,1406,1407,1408,1409,1410,1411,1412,1413,1414,1415,1158,1416,993,1417,957,255,906,1418,1419,908,1420,1421,1422,1423,1424,1425,255,1426,1427,1428,1429,1430,1431,1432,1433,1434,1435,1436,1437,1438,1439,1440,1441,1442,1443,1444,1445,1446,1447,1448,1449,1450,1451,966,967,255,1452,1453,1454,255,1455,1456,1457,957,255,906,1458,1459,1460,908,1461,1462,1463,1464,1465,1466,1467,1468,1469,1470,1471,1047,1048,993,255,1472,1473,1474,1475,1476,1442,255,1477,255,1478,1479,1480,1481,1482,1483,1481,1484,1485,1486,1442,255,1487,255,1488,1489,1490,1491,1442,1444,957,255,1492,1493,1494,1495,1496,255,1497,1498,1499,1500,1501,1502,1503,1504,1173,1505,1506,1507,1155,1508,1509,1510,1511,993,957,255,1512,1493,1513,1497,1514,1515,1516,1173,1517,1155,1508,1518,993,957,255,1519,1520,1521,957,255,1522,1523,1524,1525,1526,1527,1528,1124,1529,1530,1531,1532,1533,1534,1155,1050,1532,1535,1536,1155,993,957,255,1537,1538,1539,1540,1541,1542,1173,1543,1155,967,255,1544,255,1545,1546,1547,1548,1549,993,957,255,1550,1551,1552,1526,255,1553,1554,1555,1556,255,1557,1124,1547,1558,1050,1559,1560,993,957,255,1561,1553,1554,1562,1556,1497,1563,1547,1564,1508,1559,1565,993,957,255,1566,1567,1568,1569,1570,1541,1571,1173,1572,1155,967,957,255,1573,1574,1575,1576,1036,957,255,1577,1578,1579,1580,1581,1582,993,1583,957,255,1584,1585,1586,1587,967,1588,1589,957,255,1590],"/**"," * WebBrain Settings Page — provider configuration + display settings."," */","import { t, getLocale, setLocale, LANGUAGES } from './i18n.js';","// Version shown in the subtitle. Kept here so it only needs one update per","// release; the subtitle string itself is translated.","const EXT_VERSION = '9.0.2';","const providersContainer = document.getElementById('providers');","const verboseToggle = document.getElementById('toggle-verbose');","const screenshotToggle = document.getElementById('toggle-screenshot-fallback');","const maxStepsRange = document.getElementById('range-max-steps');","const stepsValueLabel = document.getElementById('steps-value');","const requestTimeoutRange = document.getElementById('range-request-timeout');","const requestTimeoutValueLabel = document.getElementById('timeout-value');","const autoScreenshotSelect = document.getElementById('select-auto-screenshot');","const siteAdaptersToggle = document.getElementById('toggle-site-adapters');","const tracingToggle = document.getElementById('toggle-tracing');","const strictSecretToggle = document.getElementById('toggle-strict-secret');","const allowLocalNetworkToggle = document.getElementById('toggle-allow-local-network');","const accountSection = document.getElementById('account-section');","const visionBaseUrlInput = document.getElementById('vision-base-url');","const visionApiKeyInput = document.getElementById('vision-api-key');","const visionModelInput = document.getElementById('vision-model');","const btnSaveVision = document.getElementById('btn-save-vision');","const btnTestVision = document.getElementById('btn-test-vision');","const btnClearVision = document.getElementById('btn-clear-vision');","const visionTestResult = document.getElementById('test-vision');","// Transcription service (Whisper-compatible) — same shape as the vision","// override but routes to /v1/audio/transcriptions instead of /v1/chat/completions.","const transcriptionBaseUrlInput = document.getElementById('transcription-base-url');","const transcriptionApiKeyInput = document.getElementById('transcription-api-key');","const transcriptionModelInput = document.getElementById('transcription-model');","const btnSaveTranscription = document.getElementById('btn-save-transcription');","const btnTestTranscription = document.getElementById('btn-test-transcription');","const btnClearTranscription = document.getElementById('btn-clear-transcription');","const transcriptionTestResult = document.getElementById('test-transcription');","const profileEnabledToggle = document.getElementById('toggle-profile-enabled');","const profileTextArea = document.getElementById('profile-text');","const btnSaveProfile = document.getElementById('btn-save-profile');","const btnClearProfile = document.getElementById('btn-clear-profile');","const profileTestResult = document.getElementById('test-profile');","const captchaEnabledToggle = document.getElementById('toggle-captcha-enabled');","const captchaApiKeyInput = document.getElementById('captcha-api-key');","const btnSaveCaptcha = document.getElementById('btn-save-captcha');","const btnTestCaptcha = document.getElementById('btn-test-captcha');","const btnClearCaptcha = document.getElementById('btn-clear-captcha');","const captchaTestResult = document.getElementById('test-captcha');","const languageSelect = document.getElementById('select-language');","const subtitleEl = document.getElementById('subtitle');","function renderSubtitle() {"," if (subtitleEl) subtitleEl.textContent = t('st.subtitle', { version: EXT_VERSION });","}","renderSubtitle();","if (languageSelect) {"," languageSelect.innerHTML = LANGUAGES.map((l) => ``).join('');"," languageSelect.value = getLocale();"," languageSelect.addEventListener('change', () => {"," setLocale(languageSelect.value);"," renderSubtitle();"," renderAuthSection();"," renderProviders();"," });"," document.addEventListener('wb-locale-changed', () => {"," languageSelect.value = getLocale();"," if (accountSection) renderAuthSection();"," if (providersContainer) renderProviders();","let providersData = {};","let activeProviderId = '';","let authToken = '';","let authEmail = '';","let authDefaultModel = '';","// Filter + collapse state for the providers panel. See chrome/settings.js","// for the rationale.","let providerFilter = 'all'; // 'all' | 'local' | 'cloud' | 'router'","const expandedProviders = new Set();","// --- Init ---","async function init() {"," // Load auth state"," const authStored = await browser.storage.local.get(['authToken', 'authEmail', 'authDefaultModel']);"," authToken = authStored.authToken || '';"," authEmail = authStored.authEmail || '';"," authDefaultModel = authStored.authDefaultModel || '';"," renderAuthSection();"," // Load display settings"," const stored = await browser.storage.local.get(['verboseMode', 'screenshotFallback', 'maxAgentSteps', 'autoScreenshot', 'useSiteAdapters', 'tracingEnabled', 'strictSecretMode', 'agentAllowLocalNetwork', 'providerFilter', 'requestTimeoutMs']);"," if (typeof stored.providerFilter === 'string' && ['all','local','cloud','router'].includes(stored.providerFilter)) {"," providerFilter = stored.providerFilter;"," }"," verboseToggle.checked = stored.verboseMode || false;"," screenshotToggle.checked = stored.screenshotFallback ?? true; // on by default"," maxStepsRange.value = stored.maxAgentSteps || 130;"," stepsValueLabel.textContent = maxStepsRange.value;"," // requestTimeoutMs is stored in milliseconds, displayed as seconds."," if (requestTimeoutRange && requestTimeoutValueLabel) {"," const tMs = (typeof stored.requestTimeoutMs === 'number' && stored.requestTimeoutMs > 0)"," ? stored.requestTimeoutMs"," : 120000;"," const tSec = Math.max(10, Math.min(600, Math.round(tMs / 1000)));"," requestTimeoutRange.value = tSec;"," requestTimeoutValueLabel.textContent = tSec + 's';"," if (autoScreenshotSelect) autoScreenshotSelect.value = stored.autoScreenshot || 'state_change';"," if (siteAdaptersToggle) siteAdaptersToggle.checked = stored.useSiteAdapters ?? true;"," if (tracingToggle) tracingToggle.checked = stored.tracingEnabled === true;"," if (strictSecretToggle) strictSecretToggle.checked = stored.strictSecretMode === true; // off by default"," if (allowLocalNetworkToggle) allowLocalNetworkToggle.checked = stored.agentAllowLocalNetwork === true;"," // Load vision model config"," const visionStored = await browser.storage.local.get(['visionModel']);"," const vision = visionStored.visionModel || {};"," visionBaseUrlInput.value = vision.baseUrl || '';"," visionApiKeyInput.value = vision.apiKey || '';"," visionModelInput.value = vision.model || '';"," // Load transcription service config. Same shape as visionModel; used by"," // recorder/host.js → transcribe.js when transcribing recorded audio."," const transcriptionStored = await browser.storage.local.get(['transcriptionModel']);"," const transcription = transcriptionStored.transcriptionModel || {};"," if (transcriptionBaseUrlInput) transcriptionBaseUrlInput.value = transcription.baseUrl || '';"," if (transcriptionApiKeyInput) transcriptionApiKeyInput.value = transcription.apiKey || '';"," if (transcriptionModelInput) transcriptionModelInput.value = transcription.model || '';"," // Load profile (auto-fill bio + throwaway password)"," const profileStored = await browser.storage.local.get(['profileEnabled', 'profileText']);"," if (profileEnabledToggle) profileEnabledToggle.checked = !!profileStored.profileEnabled;"," if (profileTextArea) profileTextArea.value = profileStored.profileText || '';"," // Load CapSolver config — off by default."," const captchaStored = await browser.storage.local.get(['captchaSolverEnabled', 'capsolverApiKey']);"," if (captchaEnabledToggle) captchaEnabledToggle.checked = !!captchaStored.captchaSolverEnabled;"," if (captchaApiKeyInput) captchaApiKeyInput.value = captchaStored.capsolverApiKey || '';"," // Load providers"," const res = await sendToBackground('get_providers');"," providersData = res.providers;"," activeProviderId = res.active;"," renderProviders();","// --- Auth ---","function renderAuthSection() {"," if (authToken && authEmail) {"," accountSection.innerHTML = `","

","

${escapeHtml(authEmail)}

","

${escapeHtml(t('st.account.provider_name'))}

","

"," ","

"," `;"," document.getElementById('btn-sign-out').addEventListener('click', logout);"," } else {","

${escapeHtml(t('st.account.not_signed_in'))}

"," "," document.getElementById('btn-sign-in').addEventListener('click', openAuthTab);","function escapeHtml(s) {"," return String(s == null ? '' : s).replace(/[&<>\"']/g, (c) => ({"," '&': '&', '<': '<', '>': '>', '\"': '"', \"'\": ''',"," }[c]));","function openAuthTab() {"," window.open('https://auth.webbrain.one', '_blank');","async function logout() {"," await browser.storage.local.remove(['authToken', 'authEmail', 'authDefaultModel']);"," authToken = '';"," authEmail = '';"," authDefaultModel = '';","window.addEventListener('message', (event) => {"," if (event.data?.type === 'WB_AUTH_TOKEN') {"," const { token, email, defaultModel } = event.data;"," authToken = token;"," authEmail = email;"," authDefaultModel = defaultModel || 'openai/gpt-4o';"," browser.storage.local.set({ authToken, authEmail, authDefaultModel });"," autoConfigureWebbrainProvider();","});","async function autoConfigureWebbrainProvider() {","// --- Display Settings ---","verboseToggle.addEventListener('change', () => {"," browser.storage.local.set({ verboseMode: verboseToggle.checked });","screenshotToggle.addEventListener('change', () => {"," browser.storage.local.set({ screenshotFallback: screenshotToggle.checked });","maxStepsRange.addEventListener('input', () => {","maxStepsRange.addEventListener('change', () => {"," browser.storage.local.set({ maxAgentSteps: parseInt(maxStepsRange.value) });","if (requestTimeoutRange) {"," requestTimeoutRange.addEventListener('input', () => {"," requestTimeoutValueLabel.textContent = requestTimeoutRange.value + 's';"," requestTimeoutRange.addEventListener('change', () => {"," const sec = parseInt(requestTimeoutRange.value, 10);"," browser.storage.local.set({ requestTimeoutMs: sec * 1000 });","autoScreenshotSelect?.addEventListener('change', () => {"," browser.storage.local.set({ autoScreenshot: autoScreenshotSelect.value });","siteAdaptersToggle?.addEventListener('change', () => {"," browser.storage.local.set({ useSiteAdapters: siteAdaptersToggle.checked });","tracingToggle?.addEventListener('change', () => {"," browser.storage.local.set({ tracingEnabled: tracingToggle.checked });","strictSecretToggle?.addEventListener('change', () => {"," browser.storage.local.set({ strictSecretMode: strictSecretToggle.checked });","allowLocalNetworkToggle?.addEventListener('change', () => {"," browser.storage.local.set({ agentAllowLocalNetwork: allowLocalNetworkToggle.checked });","// --- Vision Model ---","function flashVisionResult(className, text) {"," visionTestResult.className = `test-result show ${className}`;"," visionTestResult.textContent = text;"," setTimeout(() => visionTestResult.classList.remove('show'), 2000);","btnSaveVision.addEventListener('click', async () => {"," const baseUrl = visionBaseUrlInput.value.trim();"," const apiKey = visionApiKeyInput.value.trim();"," const model = visionModelInput.value.trim();"," if (!baseUrl && !apiKey && !model) {"," await browser.storage.local.remove('visionModel');"," flashVisionResult('ok', t('st.vision.cleared'));"," return;"," await browser.storage.local.set({"," visionModel: { baseUrl, apiKey, model },"," flashVisionResult('ok', t('st.vision.saved'));","btnTestVision.addEventListener('click', async () => {"," if (!baseUrl || !model) {"," visionTestResult.className = 'test-result show fail';"," visionTestResult.textContent = t('st.vision.fill_required');"," setTimeout(() => visionTestResult.classList.remove('show'), 2500);"," visionTestResult.className = 'test-result show';"," visionTestResult.textContent = t('st.vision.testing');"," visionTestResult.style.color = 'var(--text2)';"," const res = await sendToBackground('test_vision_provider');"," if (res.ok) {"," visionTestResult.className = 'test-result show ok';"," visionTestResult.textContent = t('st.vision.connected', { model: res.model || model });"," visionTestResult.textContent = t('st.vision.failed', { error: res.error });","btnClearVision.addEventListener('click', async () => {"," visionBaseUrlInput.value = '';"," visionApiKeyInput.value = '';"," visionModelInput.value = '';"," await browser.storage.local.remove('visionModel');"," flashVisionResult('ok', t('st.vision.cleared'));","// --- Transcription Service (Whisper-compatible) ---","//","// Same UX as the vision override. Stored in browser.storage.local under","// `transcriptionModel = { baseUrl, apiKey, model }`. Consumed by","// transcribe.js, which uses the override when all three fields are","// filled, and falls back to the auto-pick-from-providers behavior when","// any field is empty.","function flashTranscriptionResult(className, text) {"," if (!transcriptionTestResult) return;"," transcriptionTestResult.className = `test-result show ${className}`;"," transcriptionTestResult.textContent = text;"," setTimeout(() => transcriptionTestResult.classList.remove('show'), 2000);","if (btnSaveTranscription) {"," btnSaveTranscription.addEventListener('click', async () => {"," const baseUrl = transcriptionBaseUrlInput.value.trim();"," const apiKey = transcriptionApiKeyInput.value.trim();"," const model = transcriptionModelInput.value.trim();"," if (!baseUrl && !apiKey && !model) {"," await browser.storage.local.remove('transcriptionModel');"," flashTranscriptionResult('ok', t('st.transcription.cleared'));"," return;"," }"," await browser.storage.local.set({"," transcriptionModel: { baseUrl, apiKey, model },"," });"," flashTranscriptionResult('ok', t('st.transcription.saved'));","if (btnTestTranscription) {"," btnTestTranscription.addEventListener('click', async () => {"," if (!baseUrl || !model) {"," transcriptionTestResult.className = 'test-result show fail';"," transcriptionTestResult.textContent = t('st.transcription.fill_required');"," setTimeout(() => transcriptionTestResult.classList.remove('show'), 2500);"," transcriptionTestResult.className = 'test-result show';"," transcriptionTestResult.textContent = t('st.transcription.testing');"," transcriptionTestResult.style.color = 'var(--text2)';"," const res = await sendToBackground('test_transcription_provider');"," if (res.ok) {"," transcriptionTestResult.className = 'test-result show ok';"," transcriptionTestResult.textContent = t('st.transcription.connected', { model: res.model || model });"," } else {"," transcriptionTestResult.textContent = t('st.transcription.failed', { error: res.error });","if (btnClearTranscription) {"," btnClearTranscription.addEventListener('click', async () => {"," transcriptionBaseUrlInput.value = '';"," transcriptionApiKeyInput.value = '';"," transcriptionModelInput.value = '';"," await browser.storage.local.remove('transcriptionModel');"," flashTranscriptionResult('ok', t('st.transcription.cleared'));","// --- Profile auto-fill ---","// Persisted to browser.storage.local in plaintext; the agent picks the","// changes up via the storage.onChanged listener in background.js and","// refreshes open conversations' system prompts on the next turn.","function flashProfileResult(className, text) {"," if (!profileTestResult) return;"," profileTestResult.className = `test-result show ${className}`;"," profileTestResult.textContent = text;"," setTimeout(() => profileTestResult.classList.remove('show'), 2000);","if (profileEnabledToggle) {"," profileEnabledToggle.addEventListener('change', () => {"," browser.storage.local.set({ profileEnabled: profileEnabledToggle.checked });","if (btnSaveProfile) {"," btnSaveProfile.addEventListener('click', async () => {"," const value = (profileTextArea?.value || '').trim();"," await browser.storage.local.set({ profileText: value });"," flashProfileResult('ok', t('st.profile.saved'));","if (btnClearProfile) {"," btnClearProfile.addEventListener('click', async () => {"," if (profileTextArea) profileTextArea.value = '';"," await browser.storage.local.set({ profileText: '' });"," flashProfileResult('ok', t('st.profile.cleared'));","// --- CapSolver (captcha solving) ---","// Toggle persists immediately. The API key needs an explicit Save.","function flashCaptchaResult(className, text) {"," if (!captchaTestResult) return;"," captchaTestResult.className = `test-result show ${className}`;"," captchaTestResult.textContent = text;"," setTimeout(() => captchaTestResult.classList.remove('show'), 3000);","if (captchaEnabledToggle) {"," captchaEnabledToggle.addEventListener('change', () => {"," browser.storage.local.set({ captchaSolverEnabled: captchaEnabledToggle.checked });","if (btnSaveCaptcha) {"," btnSaveCaptcha.addEventListener('click', async () => {"," const key = (captchaApiKeyInput?.value || '').trim();"," await browser.storage.local.set({ capsolverApiKey: key });"," flashCaptchaResult('ok', t('st.captcha.saved'));","if (btnTestCaptcha) {"," btnTestCaptcha.addEventListener('click', async () => {"," if (!key) {"," flashCaptchaResult('fail', t('st.captcha.need_key'));"," captchaTestResult.className = 'test-result show';"," captchaTestResult.textContent = t('st.captcha.checking');"," captchaTestResult.style.color = 'var(--text2)';"," const res = await sendToBackground('test_capsolver_balance', { apiKey: key });"," flashCaptchaResult('ok', t('st.captcha.balance_ok', { balance: `$${Number(res.balance).toFixed(4)}` }));"," flashCaptchaResult('fail', t('st.captcha.balance_fail', { error: res.error }));","if (btnClearCaptcha) {"," btnClearCaptcha.addEventListener('click', async () => {"," if (captchaApiKeyInput) captchaApiKeyInput.value = '';"," if (captchaEnabledToggle) captchaEnabledToggle.checked = false;"," await browser.storage.local.remove(['capsolverApiKey', 'captchaSolverEnabled']);"," flashCaptchaResult('ok', t('st.captcha.cleared'));","// --- Provider Rendering ---","function renderProviders() {"," providersContainer.innerHTML = '';"," // Field definitions reference i18n keys (labelKey) so switching languages"," // re-renders with translated labels. Placeholders stay as raw values —"," // they're example URLs or API key shapes and reading them in English is"," // universal enough."," const providerConfigs = {"," llamacpp: {"," fields: ["," { key: 'baseUrl', labelKey: 'st.provider.field.server_url', type: 'text', placeholder: 'http://localhost:8080' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'qwen/qwen3.5-9b' },"," { key: 'supportsVision', labelKey: 'st.provider.field.supports_vision', type: 'checkbox' },"," { key: 'useCompactPrompt', labelKey: 'st.provider.field.compact_prompt', type: 'checkbox' },"," ],"," },"," // WebGPU stub on Firefox — fields still render so the card looks the"," // same as on chrome, but Test Connection will report \"not yet supported\"."," webgpu_qwen3: {"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'onnx-community/gemma-4-E2B-it-ONNX' },"," { key: 'dtype', labelKey: 'st.provider.field.dtype', type: 'text', placeholder: 'q4f16' },"," { key: 'maxTokens', labelKey: 'st.provider.field.max_tokens', type: 'number', placeholder: '128' },"," ollama: {"," { key: 'baseUrl', labelKey: 'st.provider.field.server_url', type: 'text', placeholder: 'http://localhost:11434/v1' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'llama3.1' },"," lmstudio: {"," { key: 'baseUrl', labelKey: 'st.provider.field.server_url', type: 'text', placeholder: 'http://localhost:1234/v1' },"," { key: 'model', labelKey: 'st.provider.field.model_optional', type: 'text', placeholderKey: 'st.provider.field.model_loaded_hint' },"," openai: {"," { key: 'apiKey', labelKey: 'st.provider.field.api_key', type: 'password', placeholder: 'sk-...' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'gpt-5.5' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://api.openai.com/v1' },"," openrouter: {"," { key: 'apiKey', labelKey: 'st.provider.field.api_key', type: 'password', placeholder: 'sk-or-...' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'anthropic/claude-sonnet-4-6' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://openrouter.ai/api/v1' },"," anthropic: {"," { key: 'apiKey', labelKey: 'st.provider.field.api_key', type: 'password', placeholder: 'sk-ant-...' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'claude-sonnet-4-20250514' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://api.anthropic.com' },"," gemini: {"," { key: 'apiKey', labelKey: 'st.provider.field.api_key', type: 'password', placeholder: 'AIza...' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'gemini-3.1-flash' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://generativelanguage.googleapis.com/v1beta/openai' },"," mistral: {"," { key: 'apiKey', labelKey: 'st.provider.field.api_key', type: 'password', placeholder: 'API key' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'mistral-large-latest' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://api.mistral.ai/v1' },"," deepseek: {"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'deepseek-chat' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://api.deepseek.com/v1' },"," xai: {"," { key: 'apiKey', labelKey: 'st.provider.field.api_key', type: 'password', placeholder: 'xai-...' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'grok-4.3' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://api.x.ai/v1' },"," nvidia: {"," { key: 'apiKey', labelKey: 'st.provider.field.api_key', type: 'password', placeholder: 'nvapi-...' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'meta/llama-3.1-8b-instruct' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://integrate.api.nvidia.com/v1' },"," groq: {"," { key: 'apiKey', labelKey: 'st.provider.field.api_key', type: 'password', placeholder: 'gsk_...' },"," { key: 'model', labelKey: 'st.provider.field.model', type: 'text', placeholder: 'llama-3.3-70b-versatile' },"," { key: 'baseUrl', labelKey: 'st.provider.field.api_base_url', type: 'text', placeholder: 'https://api.groq.com/openai/v1' },"," // OAuth-based Claude subscription provider. Card body rendered by"," // renderClaudeOAuthCardBody() — sign-in button + auth status + disclaimer."," claude_subscription: {"," customRender: 'claude_oauth',"," };"," // Filter pill row above the providers list."," providersContainer.appendChild(renderProviderFilterBar());"," const entries = Object.entries(providersData);"," let visibleCount = 0;"," for (const [id, config] of entries) {"," const isActive = id === activeProviderId;"," const fieldDefs = providerConfigs[id]?.fields || [];"," const category = config.category || 'cloud';"," if (providerFilter !== 'all' && category !== providerFilter && !isActive) continue;"," visibleCount++;"," if (providerConfigs[id]?.customRender === 'claude_oauth') {"," providersContainer.appendChild("," wrapCollapsibleCard(id, config, isActive, renderClaudeOAuthCardBody(id, config, fieldDefs))"," );"," continue;"," let fieldsHTML = '';"," for (const field of fieldDefs) {"," const label = field.labelKey ? t(field.labelKey) : (field.label || field.key);"," const placeholder = field.placeholderKey ? t(field.placeholderKey) : (field.placeholder || '');"," if (field.type === 'checkbox') {"," // useCompactPrompt defaults to UNCHECKED across the board now."," // Earlier builds defaulted it ON for local providers — the compact"," // prompt drops too many guardrails (modal handling, duplicate-"," // submit guard wording, iframe rules) and small local models that"," // are vision-capable in 2026 (Qwen-VL, Llama 3.2-V) are big enough"," // to handle the full prompt comfortably. The checkbox is preserved"," // so users on truly tiny models (under 8B) can opt back in."," const isChecked = !!config[field.key];"," const checked = isChecked ? 'checked' : '';"," fieldsHTML += `","

"," "," ${escapeHtml(label)}","

"," `;"," } else {"," const localModelProviders = ['llamacpp', 'ollama', 'lmstudio'];"," const canLoadModels = localModelProviders.includes(id) && field.key === 'model';"," const listAttr = canLoadModels ? `list=\"models-${id}\"` : '';"," const datalistHTML = canLoadModels ? `` : '';"," const loadBtnHTML = canLoadModels"," ? `"," `"," : '';"," const apiKeyLink = (field.key === 'apiKey' && config.apiKeyUrl)"," ? ` ${escapeHtml(t('st.providers.get_api_key'))}`","

"," ${escapeHtml(label)}${apiKeyLink}"," "," ${datalistHTML}"," ${loadBtnHTML}"," }"," const body = `"," ${fieldsHTML}","

"," "," "," ${!isActive ? `` : ''}"," ${config.type === 'webgpu' ? `` : ''}","

"," providersContainer.appendChild(wrapCollapsibleCard(id, config, isActive, body));"," if (visibleCount === 0) {"," const empty = document.createElement('div');"," empty.className = 'provider-filter-empty';"," empty.textContent = t('st.providers.filter.empty') || 'No providers in this category. Switch filter to All.';"," providersContainer.appendChild(empty);"," document.querySelectorAll('.btn-save').forEach(btn => {"," btn.addEventListener('click', () => saveProvider(btn.dataset.provider));"," document.querySelectorAll('.btn-test').forEach(btn => {"," btn.addEventListener('click', () => testProvider(btn.dataset.provider));"," document.querySelectorAll('.btn-activate').forEach(btn => {"," btn.addEventListener('click', () => activateProvider(btn.dataset.provider));"," document.querySelectorAll('.btn-load-models').forEach(btn => {"," btn.addEventListener('click', () => loadProviderModels(btn.dataset.provider));"," document.querySelectorAll('.btn-clear-cache').forEach(btn => {"," btn.addEventListener('click', () => clearWebGPUCache(btn.dataset.provider));"," document.querySelectorAll('.btn-claude-signin').forEach(btn => {"," btn.addEventListener('click', () => signInWithClaude(btn.dataset.provider));"," document.querySelectorAll('.btn-claude-signout').forEach(btn => {"," btn.addEventListener('click', () => signOutOfClaude(btn.dataset.provider));"," document.querySelectorAll('.claude-oauth-status').forEach(el => {"," const id = el.id.replace(/^claude-oauth-status-/, '');"," if (id) queueMicrotask(() => refreshClaudeOAuthStatus(id));"," * Build the filter pill row. See chrome/settings.js for the canonical doc.","function renderProviderFilterBar() {"," const bar = document.createElement('div');"," bar.className = 'provider-filter-bar';"," const filters = ["," { key: 'all', labelKey: 'st.providers.filter.all' },"," { key: 'local', labelKey: 'st.providers.filter.local' },"," { key: 'cloud', labelKey: 'st.providers.filter.cloud' },"," { key: 'router', labelKey: 'st.providers.filter.router' },"," ];"," for (const f of filters) {"," const btn = document.createElement('button');"," btn.type = 'button';"," btn.className = `provider-filter-pill${providerFilter === f.key ? ' active' : ''}`;"," btn.dataset.filter = f.key;"," btn.textContent = t(f.labelKey);"," btn.addEventListener('click', () => {"," if (providerFilter === f.key) return;"," // Snapshot whatever the user has typed but not yet saved BEFORE we"," // rebuild the DOM — otherwise input values for the currently-rendered"," // cards are lost (e.g. typed an API key, then clicked a filter pill"," // to compare two providers)."," syncInputsIntoProvidersData();"," providerFilter = f.key;"," try { browser.storage.local.set({ providerFilter: f.key }); } catch {}"," renderProviders();"," bar.appendChild(btn);"," return bar;"," * Wrap a provider card body in a collapsible shell. See chrome/settings.js"," * for the design notes.","function wrapCollapsibleCard(id, config, isActive, bodyHtml) {"," const expanded = isActive || expandedProviders.has(id);"," const card = document.createElement('div');"," card.className = `provider-card ${isActive ? 'active' : ''} ${expanded ? 'expanded' : 'collapsed'}`;"," card.dataset.providerId = id;"," card.dataset.providerCategory = config.category || 'cloud';"," const header = document.createElement('div');"," header.className = 'provider-header provider-header-clickable';"," // Model name appears in the collapsed header as small mono-font text — the"," // headline question for any AI tool is \"what model is this set to?\", and"," // making the user expand the card to find out is bad UX. Empty model (e.g."," // LM Studio defaults to whatever's loaded) just renders nothing rather"," // than a placeholder."," const modelStr = (config.model && String(config.model).trim()) || '';"," const providerTitle = id === 'webgpu_qwen3' ? 'WebGPU' : (config.label || id);"," header.innerHTML = `","

"," ${expanded ? '▾' : '▸'}"," ${escapeHtml(providerTitle)}"," ${escapeHtml(config.type)}"," ${config.category ? `${escapeHtml(config.category)}` : ''}"," ${modelStr ? `${escapeHtml(modelStr)}` : ''}","

"," ${isActive ? `${escapeHtml(t('st.providers.active'))}` : ''}"," `;"," header.addEventListener('click', (e) => {"," if (e.target.closest('button, input, a, select')) return;"," // Snapshot unsaved typing in other expanded cards before we rebuild"," // the DOM — same reason as the filter-pill handler above."," syncInputsIntoProvidersData();"," if (expandedProviders.has(id)) expandedProviders.delete(id);"," else expandedProviders.add(id);"," const body = document.createElement('div');"," body.className = 'provider-body';"," body.innerHTML = bodyHtml;"," card.appendChild(header);"," if (expanded) card.appendChild(body);"," return card;"," * Render the Claude (Pro/Max subscription) provider card. Differs from"," * the normal cards in that auth is via OAuth (Sign in with Claude button)"," * — see Chrome equivalent for full notes.","function renderClaudeOAuthCardBody(id, config, fieldDefs) {"," const isActive = id === activeProviderId;"," let fieldsHTML = '';"," for (const field of fieldDefs) {"," const label = field.labelKey ? t(field.labelKey) : (field.label || field.key);"," const placeholder = field.placeholder || '';"," fieldsHTML += `","

"," ${escapeHtml(label)}"," "," return `","

"," Loading sign-in status…"," ${fieldsHTML}","

"," "," "," "," ${!isActive ? `` : ''}","

","

ℹ️ About Codex in GitHub

\\n
\\n\\n[Your team has set up Codex to review pull requests in this repo](https://chatgpt.com/codex/cloud/settings/general). Reviews are triggered when you\\n- Open a pull request for review\\n- Mark a draft as ready\\n- Comment \\\"@codex review\\\".\\n\\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\\n\\n\\n\\n\\nCodex can also answer questions or update the PR. Try commenting \\\"@codex address that feedback\\\".\\n \\n

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"fixed\",\"path\":\"src/chrome/src/offscreen/offscreen.js\",\"side\":\"RIGHT\",\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"fixed\",\"path\":\"src/chrome/src/providers/webgpu.js\",\"side\":\"RIGHT\",\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"@codex why are we getting Error communicating with LLM: webgpu: failed to call OrtRun(). ERROR_CODE: 6, ERROR_MESSAGE: std::bad_alloc\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"You’re hitting a **memory-allocation failure in ONNX Runtime**, not a networking/API error.\\n\\nIn this PR branch, the likely root cause is documented directly in the WebGPU provider comments:\\n\\n- `ERROR_CODE: 6` + `std::bad_alloc` maps to allocation failure during `OrtRun()`.\\n- With this model, using plain `q4` can trigger **fp32 activation buffers** that exceed the WASM heap during inference.\\n- The provider now defaults to `q4f16` specifically to avoid that failure mode. \\n\\nThere are also two other common causes called out in the offscreen runtime code:\\n\\n- If execution silently falls back to CPU/WASM instead of true WebGPU, the effective memory ceiling is much lower and OOM is likely. \\n- If `SharedArrayBuffer`/cross-origin isolation prerequisites are missing, larger allocations can fail early with `std::bad_alloc`. \\n\\nSo in plain terms: **the model run is trying to allocate more memory than the runtime path can provide** (often because of dtype/backend conditions), and ONNX Runtime surfaces that as `std::bad_alloc`.\\n\\n### What to check quickly\\n1. Confirm provider settings are actually using `dtype: q4f16` (or try `fp16` if you still hit overflow/OOM on your GPU/browser combo). \\n2. Confirm you are on real WebGPU, not software/fallback. \\n3. Check offscreen DevTools logs (`[webgpu] pipeline init`) for `hasWebgpuBackend`, `crossOriginIsolated`, and `hasSharedArrayBuffer`. \\n4. Make sure pipeline settings changes (dtype/device) are picked up by cache key (this is already fixed in current code). \\n\\n### Commands I used\\n- `find .. -name AGENTS.md -print`\\n- `git status --short && rg -n \\\"webgpu|bad_alloc|OrtRun|dtype|device|chatStream|tool_calls\\\" src/chrome/src/providers/webgpu.js src/chrome/src/offscreen/offscreen.js`\\n- `nl -ba src/chrome/src/providers/webgpu.js | sed -n '35,140p' && nl -ba src/chrome/src/offscreen/offscreen.js | sed -n '130,220p'`\\n\\nI also did a quick web verification for ONNX Runtime/WebGPU OOM patterns before answering.\\n\\n [View task →](https://chatgpt.com/s/cd_6a107a50606c8191a6ca16bb01e898f3)\",\"path\":null,\"side\":null,\"line\":null}",[],{"_384":7225,"_365":366,"_386":6926},{"_408":7226,"_561":-5,"_42":-5,"_563":-5,"_388":-5,"_153":576,"_149":1729},[7227],{"_46":7222,"_149":7079},{"_384":7229,"_365":366,"_386":6926},{"_408":7230,"_561":-5,"_42":-5,"_563":-5,"_388":-5,"_153":576,"_149":1729},[7231],{"_46":7232,"_149":7079},"\n /workspace/webbrain\n bash\n 2026-05-26\n Etc/UTC\n",{"_384":7234,"_365":366,"_386":6926},{"_408":7235,"_561":-5,"_42":-5,"_563":-5,"_388":-5,"_153":7236,"_149":1729},[7237,7238],"developer",{"_46":7240,"_149":7079},{"_46":7239,"_149":7079},"\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- imagegen: Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas. (file: /opt/codex/skills/.system/imagegen/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains. (file: /opt/codex/skills/.system/openai-docs/SKILL.md)\n- plugin-creator: Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata. (file: /opt/codex/skills/.system/plugin-creator/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /opt/codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /opt/codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) When `SKILL.md` references relative paths (e.g., `scripts/foo.py`), resolve them relative to the skill directory listed above first, and only consider other paths if needed.\n 3) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 4) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 5) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.\n","\nFilesystem sandboxing defines which files can be read or written. `sandbox_mode` is `danger-full-access`: No filesystem sandboxing - all commands are permitted. Network access is enabled.\nApproval policy is currently never. Do not provide the `sandbox_permissions` for any reason, commands will be rejected.\n",{"_365":366,"_144":7242},{"_160":-5,"_42":6926,"_373":7243,"_375":6928,"_377":541},[],{"_377":7245,"_365":366},{"_544":7246,"_149":546},[],"thread/started",{"_7249":7250},"thread",{"_7251":-5,"_7252":-5,"_7253":7254,"_7255":6928,"_426":427,"_7256":15,"_7257":-5,"_7258":-5,"_42":366,"_7259":7260,"_237":-5,"_7261":-5,"_217":7262,"_7263":255,"_432":7264,"_377":7265,"_7266":-5,"_78":7267,"_7268":6928},"agentNickname","agentRole","cliVersion","0.124.0","createdAt","ephemeral","forkedFromId","gitInfo","modelProvider","openai","parentThreadId","/opt/codex/sessions/2026/05/26/rollout-2026-05-26T02-04-06-019e6206-63e2-7c60-be96-3760c37bca0e.jsonl","preview","vscode",{"_149":381},"threadSource",[],"updatedAt",[],[7271],{"_42":7272,"_554":7273,"_556":7274,"_558":7274,"_408":7275,"_377":560,"_561":-5,"_562":32,"_563":7276,"_565":566,"_567":-5},"1186af6e-9e9f-4bf8-9c46-ab54e7230ac9",{"_153":576,"_237":-5,"_563":7281},1779761045.781363,{"_572":46,"_573":7279},{"_568":7277},{"_570":7278},[],[7280],"@codex what's wrong here? i'm getting: \\n\\nError: webgpu: The data is not on CPU. Use getData() to download GPU data to CPU, or use texture or gpuBuffer property to access the GPU data directly.\nWebGPU + ONNX provider: Qwen 3 0.6B in-browser (7.4.0)\n\n## Summary\n\nAdds a new \\`webgpu\\` provider type — a fourth \"local\" provider that runs **Qwen 3 0.6B** entirely in the browser via WebGPU + ONNX (\\`@huggingface/transformers\\`). Unlike llama.cpp / Ollama / LM Studio, it needs nothing installed: model weights download from HuggingFace on first use (~500MB q4), cached in IndexedDB, inference runs in the extension's offscreen document on the user's GPU.\n\nVersion bump 7.3.1 → 7.4.0.\n\n## Why\n\nThe other \"local\" providers all require the user to install + run a separate server. That's a real onboarding cliff. WebGPU + ONNX gives us a zero-install local option — useful for trying out webbrain without committing to a heavier setup, and as a privacy-preserving fallback when a user just wants to ask quick questions about a page without their data hitting any third party.\n\n## Architecture\n\n\\`\\`\\`\nservice worker (background)\n └─ WebGPUProvider.chat() ──→ chrome.runtime.sendMessage\n │\noffscreen document ←──────────────────────┘\n └─ @huggingface/transformers\n pipeline('text-generation', 'onnx-community/Qwen3-0.6B-ONNX',\n { device: 'webgpu', dtype: 'q4' })\n\\`\\`\\`\n\n- Service workers have no WebGPU; the offscreen document does. We reuse the **existing** offscreen doc (already hosting the local-network fetch proxy) and add two new message handlers: \\`webgpu-chat\\` and \\`webgpu-probe\\`.\n- Pipeline is loaded lazily on the first chat call and cached for the offscreen doc's lifetime. Previous pipeline is disposed before loading a new model to avoid OOM on integrated GPUs.\n\n## Tool use\n\nEnabled. Qwen 3's chat template knows how to render \\`tools=[...]\\` into the system prompt; the model emits \\`{...}\\` blocks. Offscreen.js parses them back into OpenAI-format \\`tool_calls\\` so webbrain's loop detector + dispatch treat WebGPU exactly like any other provider.\n\nReliability at 0.6B is mixed — this is small-model territory. A follow-up UI hint should nudge users toward Ask mode (similar to how we handle the existing small-model warnings).\n\n## Streaming\n\n**Deferred.** v1 returns the full response in one shot. The 0.6B model finishes a normal turn in seconds, so this is acceptable; the background↔offscreen chunked-message router is the kind of plumbing that wants its own PR. A comment in \\`chatStream()\\` marks the upgrade target.\n\n## Library vendoring\n\n\\`@huggingface/transformers\\` is ~5MB JS + ~30MB ONNX-runtime-web WASM. Too big to commit. \\`src/chrome/vendor/transformers/README.md\\` documents the one-command vendoring flow:\n\n\\`\\`\\`bash\nnpm install @huggingface/transformers\ncp node_modules/@huggingface/transformers/dist/transformers.min.js \\\n src/chrome/vendor/transformers/\n# + matching ort-wasm-simd-threaded.* files\n\\`\\`\\`\n\nThe provider fails fast with a clear \"library not vendored\" message if the file is missing, so the failure mode is obvious to anyone testing.\n\n\\`.gitignore\\` excludes \\`*.js\\`/\\`*.wasm\\`/\\`*.mjs\\` inside the vendor dirs so an accidental \\`git add .\\` doesn't commit 30MB of WASM. The README stays tracked.\n\n## Reviewer notes\n\n- **Default \\`enabled: false\\`** because the first-run download is ~500MB. We don't want to auto-burn bandwidth on extension install.\n- **Firefox: stub.** Firefox has no \\`browser.offscreen\\` and its extension-context WebGPU exposure is its own can of worms (gated, prefs-only on release at the time of writing). Stub fails fast; config stays so the categorization parity test passes. Real Firefox implementation is its own future PR.\n- **CSP unchanged.** Existing \\`script-src 'self' 'wasm-unsafe-eval'; connect-src *\\` already allows everything the library needs: same-origin imports, WASM eval, and HuggingFace Hub fetches.\n- **Manifest unchanged.** Vendor dir is same-origin with the offscreen doc, no \\`web_accessible_resources\\` needed.\n- **Tool-call parsing is text-format**, not structured JSON-output. Qwen-3 small models can produce slightly malformed blocks; \\`extractToolCalls()\\` JSON.parse'es each block in a try/catch and silently drops the malformed ones rather than crashing the turn.\n\n## Test plan\n\n- [ ] Tests pass (\\`node test/run.js\\` → 130/130, 4 new for the webgpu provider).\n- [ ] Open Chrome → Settings → Providers. Filter to \"Local\" → webgpu_qwen3 card visible alongside llama.cpp / Ollama / LM Studio.\n- [ ] Vendor \\`@huggingface/transformers\\` per the README (one-time setup).\n- [ ] Click webgpu card → \"Test Connection\" → reports library version + WebGPU availability without downloading model weights.\n- [ ] Set webgpu_qwen3 active → ask a simple Ask-mode question on any page. First run downloads model (~500MB, ~minute on a fast connection); subsequent runs are instant.\n- [ ] Switch to Act mode → try a simple click task. Verify tool-call parsing produces a sensible \\`click_ax\\` or similar.\n- [ ] Switch active provider away from webgpu → memory freed (pipeline disposed on next webgpu chat for a different model, or after page close).\n- [ ] Firefox: install Firefox build → webgpu_qwen3 card visible, \"Test Connection\" reports \"not yet supported on Firefox\".\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n[vc]: #87Pbe2tCB0LyfpL4Vi78RrXZH+1W3FjGJBX/hakSZ3M=:eyJpc01vbm9yZXBvIjp0cnVlLCJ0eXBlIjoiZ2l0aHViIiwicHJvamVjdHMiOlt7Im5hbWUiOiJ3ZWJicmFpbiIsInByb2plY3RJZCI6InByal85VFY3aWJLcXNhRkoyWGJUQXFkMWQ1QVZQUHQzIiwibGl2ZUZlZWRiYWNrIjp7InJlc29sdmVkIjowLCJ1bnJlc29sdmVkIjowLCJ0b3RhbCI6MCwibGluayI6IndlYmJyYWluLWdpdC13ZWJncHUtZXNva3VsbHVzLXByb2plY3RzLnZlcmNlbC5hcHAifSwiaW5zcGVjdG9yVXJsIjoiaHR0cHM6Ly92ZXJjZWwuY29tL2Vzb2t1bGx1cy1wcm9qZWN0cy93ZWJicmFpbi81WGhMZVlHazRiTWNZelR0NDFYcmRRMTc3dFhmIiwicHJldmlld1VybCI6IndlYmJyYWluLWdpdC13ZWJncHUtZXNva3VsbHVzLXByb2plY3RzLnZlcmNlbC5hcHAiLCJuZXh0Q29tbWl0U3RhdHVzIjoiREVQTE9ZRUQiLCJyb290RGlyZWN0b3J5Ijoid2ViIn1dfQ==\nThe latest updates on your projects. Learn more about [Vercel for GitHub](https://vercel.link/github-learn-more).\n\n| Project | Deployment | Actions | Updated (UTC) |\n| :--- | :----- | :------ | :------ |\n| [webbrain](https://vercel.com/esokullus-projects/webbrain) | ![Ready](https://vercel.com/static/status/ready.svg) [Ready](https://vercel.com/esokullus-projects/webbrain/5XhLeYGk4bMcYzTt41XrdQ177tXf) | [Preview](https://webbrain-git-webgpu-esokullus-projects.vercel.app), [Comment](https://vercel.live/open-feedback/webbrain-git-webgpu-esokullus-projects.vercel.app?via=pr-comment-feedback-link) | May 26, 2026 1:57am |\n\n\n**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Emit tool calls in streaming chunk content**\n\nWhen `chatStream()` returns a tool call, this chunk sets `content` to `result.content` (text) instead of the tool-call array. The streaming agent path (`processMessageStream`) iterates `chunk.content` as tool-call deltas, so WebGPU tool calls are dropped/misparsed and Act-mode tool execution fails whenever the `chat_stream` workflow is used.\n\nUseful? React with 👍 / 👎.\n**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Rebuild cached pipeline when dtype or device changes**\n\nThe pipeline cache key only checks `modelId`, but users can edit `dtype` and `device` in provider settings. After one successful load, changing quantization/backend (for example `q4`→`q8` or `webgpu`→`wasm`) will silently keep using the old pipeline, so configuration changes do not take effect until the offscreen document is recreated.\n\nUseful? React with 👍 / 👎.\n\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `c7ed0192e5`\n \n\n

ℹ️ About Codex in GitHub

\n
\n\n[Your team has set up Codex to review pull requests in this repo](https://chatgpt.com/codex/cloud/settings/general). Reviews are triggered when you\n- Open a pull request for review\n- Mark a draft as ready\n- Comment \"@codex review\".\n\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\n\n\n\n\nCodex can also answer questions or update the PR. Try commenting \"@codex address that feedback\".\n \n

\nfixed\nfixed\n@codex why are we getting Error communicating with LLM: webgpu: failed to call OrtRun(). ERROR_CODE: 6, ERROR_MESSAGE: std::bad_alloc\nYou’re hitting a **memory-allocation failure in ONNX Runtime**, not a networking/API error.\n\nIn this PR branch, the likely root cause is documented directly in the WebGPU provider comments:\n\n- `ERROR_CODE: 6` + `std::bad_alloc` maps to allocation failure during `OrtRun()`.\n- With this model, using plain `q4` can trigger **fp32 activation buffers** that exceed the WASM heap during inference.\n- The provider now defaults to `q4f16` specifically to avoid that failure mode. \n\nThere are also two other common causes called out in the offscreen runtime code:\n\n- If execution silently falls back to CPU/WASM instead of true WebGPU, the effective memory ceiling is much lower and OOM is likely. \n- If `SharedArrayBuffer`/cross-origin isolation prerequisites are missing, larger allocations can fail early with `std::bad_alloc`. \n\nSo in plain terms: **the model run is trying to allocate more memory than the runtime path can provide** (often because of dtype/backend conditions), and ONNX Runtime surfaces that as `std::bad_alloc`.\n\n### What to check quickly\n1. Confirm provider settings are actually using `dtype: q4f16` (or try `fp16` if you still hit overflow/OOM on your GPU/browser combo). \n2. Confirm you are on real WebGPU, not software/fallback. \n3. Check offscreen DevTools logs (`[webgpu] pipeline init`) for `hasWebgpuBackend`, `crossOriginIsolated`, and `hasSharedArrayBuffer`. \n4. Make sure pipeline settings changes (dtype/device) are picked up by cache key (this is already fixed in current code). \n\n### Commands I used\n- `find .. -name AGENTS.md -print`\n- `git status --short && rg -n \"webgpu|bad_alloc|OrtRun|dtype|device|chatStream|tool_calls\" src/chrome/src/providers/webgpu.js src/chrome/src/offscreen/offscreen.js`\n- `nl -ba src/chrome/src/providers/webgpu.js | sed -n '35,140p' && nl -ba src/chrome/src/offscreen/offscreen.js | sed -n '130,220p'`\n\nI also did a quick web verification for ONNX Runtime/WebGPU OOM patterns before answering.\n\n [View task →](https://chatgpt.com/s/cd_6a107a50606c8191a6ca16bb01e898f3)",{},1779761113.5063107,{"_149":1729,"_153":150,"_408":7313},{"_149":613,"_614":7294},{"_149":587,"_588":6983,"_590":7286,"_592":7287,"_594":-5},"### Motivation\n- Prevent runtime failures where transformers.js post-processing expects CPU-readable tensors but the worker forced GPU-only outputs, which caused the error `The data is not on CPU. Use getData() ...` during chat generation.\n\n### Description\n- Stop forcing `session_options.preferredOutputLocation: 'gpu-buffer'` in `src/chrome/src/offscreen/inference-worker.js` and add a clarifying comment so chat-generation paths can receive CPU-readable outputs when required while keeping `device`/`dtype` behavior unchanged.\n\n### Testing\n- Ran the full JS test suite with `node test/run.js`, and all tests passed (`197 passed, 0 failed`).",{"_149":592,"_595":299,"_184":185,"_596":-5,"_467":7288,"_598":7289,"_600":627,"_602":1755,"_604":7290,"_606":7291,"_608":7292},"diff --git a/src/chrome/src/offscreen/inference-worker.js b/src/chrome/src/offscreen/inference-worker.js\nindex ea3f2822fd1e043ce00dbdea0143b1c08718742e..99cf0be2dd77d27e6f80b669a0151559b8bf4b2c 100644\n--- a/src/chrome/src/offscreen/inference-worker.js\n+++ b/src/chrome/src/offscreen/inference-worker.js\n@@ -100,63 +100,54 @@ async function getPipeline(modelId, dtype, device) {\n isFallbackAdapter: adapter.isFallbackAdapter,\n features: [...(adapter.features || [])].slice(0, 8),\n } : null;\n } catch (e) { adapterInfo = { error: e.message }; }\n }\n console.log('[webgpu-worker] pipeline init', {\n modelId, dtype, device,\n libraryVersion: _libraryVersion,\n navigatorGpu: gpuAvailable,\n adapter: adapterInfo,\n hasWebgpuBackend: !!lib.env?.backends?.onnx?.webgpu,\n wasmPaths: lib.env?.backends?.onnx?.wasm?.wasmPaths,\n crossOriginIsolated: typeof crossOriginIsolated !== 'undefined' ? crossOriginIsolated : 'n/a',\n hasSharedArrayBuffer: typeof SharedArrayBuffer !== 'undefined',\n });\n } catch { /* logging must never break inference */ }\n \n // Free the previous pipeline before loading a new one — two 500MB+\n // models pinned simultaneously is a recipe for OOM on integrated GPUs.\n if (_activePipeline && _activePipeline.dispose) {\n try { await _activePipeline.dispose(); } catch {}\n }\n _activePipeline = await pipeline('text-generation', modelId, {\n device: device || 'webgpu',\n dtype: dtype || 'q4f16',\n- // Keep model outputs as GPU buffers instead of mapping them back\n- // to CPU after every forward pass. Qwen 3.5 is a hybrid\n- // Mamba+Transformer architecture with past_conv / past_recurrent\n- // state tensors (in addition to the usual transformer KV cache);\n- // mapping all of those across the GPU/CPU boundary every step\n- // triggers Dawn's \"Failed to allocate memory for buffer mapping\"\n- // when the model is also vision-capable. transformers.js normally\n- // sets this for KV-cache-keys when the model config provides a\n- // cache_config, but for hybrid/vision models the cache names\n- // aren't always populated — setting it globally as a fallback.\n- session_options: {\n- preferredOutputLocation: 'gpu-buffer',\n- },\n+ // Do not force preferredOutputLocation='gpu-buffer' globally.\n+ // For chat generation, transformers.js needs CPU-readable values in\n+ // parts of its post-processing path; forcing all outputs to GPU can\n+ // raise \"The data is not on CPU. Use getData() ...\" at runtime.\n progress_callback: (ev) => postProgress(modelId, ev),\n });\n _activePipelineKey = key;\n return _activePipeline;\n }\n \n /**\n * Forward a model-download progress event to the parent (offscreen\n * doc). 200ms-per-file throttling for the continuous 'progress'\n * stream; state transitions always pass through.\n */\n const _progressLastEmitted = new Map();\n function postProgress(modelId, ev) {\n try {\n const file = ev?.file || ev?.name || '';\n const status = ev?.status || '';\n if (status === 'progress') {\n const key = `${modelId}|${file}`;\n const now = Date.now();\n const last = _progressLastEmitted.get(key) || 0;\n if (now - last < 200) return;\n _progressLastEmitted.set(key, now);\n }\n self.postMessage({\n type: 'progress',\n",{"_610":7293,"_612":-5},13,"Fix WebGPU CPU tensor access error in worker pipeline",[],"file_00000000510c71f5bb0a0d22395a5207",[7295],{"_217":1904,"_621":-5,"_622":7296,"_624":-5},[7297],{"_626":627,"_628":7298,"_408":7299,"_631":59},306,[906,1909,1696,1910,1911,1912,1913,1914,1915,1916,1917,1918,1696,1919,1920,1921,1922,1696,1923,1924,1925,1926,1696,1927,1928,1929,1930,1931,908,255,1932,1933,1934,1935,1936,255,906,1939,1940,1941,1942,908,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1316,1155,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1727,1972,1155,1973,1974,1975,957,255,7300,1977,1978,7301,1981,1982,1983,255,1984,1985,1986,1497,1987,1988,1989,1966,1990,1991,1992,1993,1994,1995,1155,1996,6508,1998,1999,2000,2001,2002,2003,2004,1158,2005,255,2006,2007,2008,2009,993,7302,6509,2012,7303,7304,7305,7306,2013,967,2017,2018,957,255,906,2022,2023,2024,908,2025,2026,1497,2027,2028,2029,2030,2031,2032,2033,2034,1155,2035,2036,2037,2038,2039,2040,1158,2041,957,255,2042,2043,2044,2045,2046,2047,2048,2049,2050,2051,2052,2053,2054,1727,1358,1155,993,2055,957,255,2056,2057,2058,2059,2060,2061,2062,2063,1948,2064,2065,2066,2067,2068,2069,2070,2071,2072,2073,2074,2075,1358,2076,993,2077,957,255,2078,255,2079,2080,255,2081,2082,2083,2084,2085,1111,993,255,2086,1948,2087,2088,2089,2090,2091,2092,2093,2094,2095,2096,2097,2098,2099,2100,1358,2101,2102,2103,2104,2105,2106,2107,2108,2109,2110,1155,1111,993,255,2111,1948,7307,7308,1358,7309,7310,1951,2113,2114,2115,1358,2116,2109,2110,1155,1111,993,255,2117,1948,2118,7311,2133,2134,2135,2136,2137,2138,2139,2140,2141,2142,2143,1358,7312,2211,2212,2101,2102,2213,2214,2215,2216,2108,2109,2110,1155,1111,993,255,2217,2218,1073],"async function getPipeline(modelId, dtype, device) {"," const key = `${modelId}|${dtype || 'default'}|${device || 'webgpu'}`;"," _activePipeline = await pipeline('text-generation', modelId, {"," // Do not force preferredOutputLocation='gpu-buffer' globally."," // For chat generation, transformers.js needs CPU-readable values in"," // parts of its post-processing path; forcing all outputs to GPU can"," // raise \"The data is not on CPU. Use getData() ...\" at runtime."," if (_activePipeline && _activePipeline.dispose) {"," try { await _activePipeline.dispose(); } catch {}"," _activePipeline = null;"," _activePipelineKey = null;"," const pipe = await getPipeline(modelId, dtype, device);"," const output = await pipe(messages || [], generateArgs);",[7314,7315,7316,7317,7318],{"_572":46,"_46":7325},{"_572":1739,"_217":1904,"_626":7323,"_628":7324},{"_572":46,"_46":7322},{"_572":1739,"_217":1904,"_626":7320,"_628":7321},{"_572":46,"_46":7319},"\n* Committed the change on the current branch (`ed8e6ce`) and created a follow-up PR message with the rationale and validation steps.\n\n**Testing**\n* ✅ `node test/run.js` (197 passed, 0 failed)",125,129,"\n* Added an inline explanatory comment so future changes preserve this constraint in the chat-generation path.",122,130,"### Summary\n* Fixed the WebGPU inference worker to stop forcing `preferredOutputLocation: 'gpu-buffer'` on all generation outputs, which can trigger the exact runtime error you reported (`The data is not on CPU...`) when transformers.js post-processing expects CPU-readable tensors.",{"_149":576,"_42":85,"_153":576,"_1760":7328,"_1762":7329,"_1763":1764,"_188":-5,"_175":7330},[87],[7347,7348,7349,7350,7351,7352,7353,7354,7355,7356],{"_7331":7332,"_298":299,"_7333":3530,"_310":-5,"_595":293,"_7334":-5,"_7335":7336,"_7337":7338,"_7339":-5,"_7340":-5,"_7341":7342,"_7343":15,"_7344":59,"_7345":54,"_7346":15},1779761033.190702,"installation_id",110606353,"pr_number","review_trigger","comment_id",4539069482,"comment_type","issue","pr_write_guard_token","pending_pr_reaction_id","pending_comment_reaction_id",361576827,"comment_if_no_findings","comment_on_error","share_url","is_parallel_review",{"_149":1729,"_153":576,"_408":7371},{"_412":3537,"_414":3538,"_7368":3542,"_7369":185,"_3545":-5,"_149":7370},{"_149":7357,"_414":7367,"_217":-5,"_7359":-5,"_7360":-5},{"_149":7357,"_414":7366,"_217":2219,"_7359":7363,"_7360":-5},{"_149":7357,"_414":7365,"_217":3169,"_7359":7363,"_7360":-5},{"_149":7357,"_414":7364,"_217":-5,"_7359":-5,"_7360":-5},{"_149":7357,"_414":7362,"_217":3169,"_7359":7363,"_7360":-5},{"_149":7357,"_414":7362,"_217":2219,"_7359":7363,"_7360":-5},{"_149":7357,"_414":7361,"_217":-5,"_7359":-5,"_7360":-5},{"_149":7357,"_414":7358,"_217":-5,"_7359":-5,"_7360":-5},"pull_request_comment","You’re hitting a **memory-allocation failure in ONNX Runtime**, not a networking/API error.\n\nIn this PR branch, the likely root cause is documented directly in the WebGPU provider comments:\n\n- `ERROR_CODE: 6` + `std::bad_alloc` maps to allocation failure during `OrtRun()`.\n- With this model, using plain `q4` can trigger **fp32 activation buffers** that exceed the WASM heap during inference.\n- The provider now defaults to `q4f16` specifically to avoid that failure mode. \n\nThere are also two other common causes called out in the offscreen runtime code:\n\n- If execution silently falls back to CPU/WASM instead of true WebGPU, the effective memory ceiling is much lower and OOM is likely. \n- If `SharedArrayBuffer`/cross-origin isolation prerequisites are missing, larger allocations can fail early with `std::bad_alloc`. \n\nSo in plain terms: **the model run is trying to allocate more memory than the runtime path can provide** (often because of dtype/backend conditions), and ONNX Runtime surfaces that as `std::bad_alloc`.\n\n### What to check quickly\n1. Confirm provider settings are actually using `dtype: q4f16` (or try `fp16` if you still hit overflow/OOM on your GPU/browser combo). \n2. Confirm you are on real WebGPU, not software/fallback. \n3. Check offscreen DevTools logs (`[webgpu] pipeline init`) for `hasWebgpuBackend`, `crossOriginIsolated`, and `hasSharedArrayBuffer`. \n4. Make sure pipeline settings changes (dtype/device) are picked up by cache key (this is already fixed in current code). \n\n### Commands I used\n- `find .. -name AGENTS.md -print`\n- `git status --short && rg -n \"webgpu|bad_alloc|OrtRun|dtype|device|chatStream|tool_calls\" src/chrome/src/providers/webgpu.js src/chrome/src/offscreen/offscreen.js`\n- `nl -ba src/chrome/src/providers/webgpu.js | sed -n '35,140p' && nl -ba src/chrome/src/offscreen/offscreen.js | sed -n '130,220p'`\n\nI also did a quick web verification for ONNX Runtime/WebGPU OOM patterns before answering.\n\n [View task →](https://chatgpt.com/s/cd_6a107a50606c8191a6ca16bb01e898f3)","side","line","@codex why are we getting Error communicating with LLM: webgpu: failed to call OrtRun(). ERROR_CODE: 6, ERROR_MESSAGE: std::bad_alloc","fixed","RIGHT","\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `c7ed0192e5`\n \n\n

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