gpt-5.6-terra @ none · codex-oauth
codex-oauthnone
- config
- gpt-5.6-terra-eff-none--cli--codex-oauth--dev
- batch
- 2026-07-19--unified
- transport
- codex-cli-oauth-chatgpt
- protocol
- cli · plan
- served model
- gpt-5.6-terra
- captured
- Jul 18, 2026, 11:54 AM · N=2
variant
live
slot 0 · P-q · sandboxed iframe

The screenshot is the exact frozen pixels the similarity channels measured. Run live re-executes the raw output in a sandboxed iframe; its rendering depends on your browser and fonts and is not guaranteed to match the measured pixels.
similarity neighbors
nearest
gpt-5.6-luna @medium · kiro0.66gpt-5.6-sol @medium · kiro0.63gpt-5.6-terra @max · kiro0.63gpt-5.6-sol @high · kiro0.61gpt-5.6-sol @low · kiro0.61farthest
gpt-5.6-luna @high · kiro0.41gpt-5.6-luna @medium · codex-oauth0.44claude-haiku-4-5 @low · CC0.44north-mini-code-free · api0.45claude-opus-4-6 @high · kiro0.45within session 2026-07-19--unified
similarity measures convergence within this session — not quality.
Fidelity — does the card show the right data?
- namematch
- conditionmatch
- datematch
- max tempmatchshown: 25
- min tempmatchshown: 16
- hourlymatchcoverage 12/24 · 12 match · 0 mismatch · 12 not shown
- request sidematch0 violation(s)
extractor fidelity-extractor-v1+Berlin-2026-07-15
Source — raw model output, one byte unchanged
download card.html<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>Weather Card</title>
<style>
:root {
--ink: #f8fbff;
--muted: #b9c8dd;
--panel: rgba(12, 27, 52, .62);
--line: rgba(255,255,255,.16);
--accent: #ffd46a;
}
* { box-sizing: border-box; }
body {
margin: 0;
min-width: 1280px;
min-height: 800px;
font-family: Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
color: var(--ink);
background:
radial-gradient(circle at 78% 14%, rgba(255, 211, 102, .30), transparent 20%),
radial-gradient(circle at 16% 88%, rgba(55, 175, 255, .24), transparent 28%),
linear-gradient(135deg, #183c75 0%, #10294f 46%, #08182f 100%);
overflow: hidden;
}
.sky {
position: fixed; inset: 0; pointer-events: none; opacity: .45;
background-image: radial-gradient(circle, rgba(255,255,255,.72) 1px, transparent 1.7px);
background-size: 83px 97px;
mask-image: linear-gradient(to bottom, black, transparent 85%);
}
main {
width: 1060px;
margin: 54px auto;
padding: 38px 42px 32px;
border: 1px solid var(--line);
border-radius: 32px;
background: linear-gradient(145deg, rgba(30, 64, 112, .72), var(--panel));
box-shadow: 0 28px 80px rgba(0,0,0,.35), inset 0 1px 0 rgba(255,255,255,.12);
backdrop-filter: blur(16px);
}
header {
display: flex;
align-items: flex-start;
justify-content: space-between;
padding-bottom: 30px;
border-bottom: 1px solid var(--line);
}
.eyebrow {
margin: 0 0 8px;
color: #9fd5ff;
font-size: 12px;
letter-spacing: .16em;
font-weight: 750;
text-transform: uppercase;
}
h1 { margin: 0; font-size: 38px; line-height: 1.1; letter-spacing: -.045em; }
.date { margin: 8px 0 0; color: var(--muted); font-size: 16px; }
.unit {
border: 1px solid rgba(255,255,255,.25);
border-radius: 999px;
padding: 9px 15px;
color: #dbeeff;
font-weight: 700;
font-size: 14px;
}
.summary {
display: grid;
grid-template-columns: 1.1fr .9fr;
gap: 26px;
align-items: center;
padding: 32px 0;
}
.condition { display: flex; align-items: center; gap: 22px; }
.icon {
width: 112px; height: 112px; flex: 0 0 112px;
display: grid; place-items: center;
font-size: 70px;
border-radius: 30px;
background: linear-gradient(145deg, rgba(255,211,102,.22), rgba(255,255,255,.04));
border: 1px solid rgba(255,255,255,.14);
filter: drop-shadow(0 12px 20px rgba(0,0,0,.18));
}
.condition h2 { margin: 0 0 6px; font-size: 28px; letter-spacing: -.03em; }
.condition p { margin: 0; color: var(--muted); font-size: 15px; }
.temperatures {
display: grid;
grid-template-columns: 1fr 1fr;
border-left: 1px solid var(--line);
}
.temp { padding: 8px 0 8px 31px; }
.temp + .temp { border-left: 1px solid var(--line); margin-left: 22px; }
.temp small { display: block; color: var(--muted); text-transform: uppercase; letter-spacing: .11em; font-weight: 700; font-size: 11px; }
.temp strong { display: block; margin-top: 7px; font-size: 45px; letter-spacing: -.06em; line-height: 1; }
.temp.low strong { color: #a9dcff; }
.hourly-title { display: flex; align-items: center; justify-content: space-between; margin: 4px 0 16px; }
.hourly-title h3 { margin: 0; font-size: 16px; letter-spacing: -.01em; }
.hourly-title span { color: var(--muted); font-size: 13px; }
.hours {
display: grid;
grid-template-columns: repeat(12, 1fr);
gap: 9px;
}
.hour {
min-height: 149px;
padding: 13px 8px 11px;
text-align: center;
border-radius: 16px;
border: 1px solid rgba(255,255,255,.10);
background: rgba(255,255,255,.055);
}
.hour:nth-child(n+7) { background: rgba(4, 15, 35, .26); }
.hour time { display: block; color: var(--muted); font-size: 11px; font-weight: 700; }
.bar-space { height: 67px; display: flex; align-items: flex-end; justify-content: center; }
.bar { width: 8px; border-radius: 99px; background: linear-gradient(to top, #67baff, var(--accent)); box-shadow: 0 0 12px rgba(255,212,106,.24); }
.hour b { display: block; margin-top: 8px; font-size: 15px; letter-spacing: -.04em; }
.status {
min-height: 300px;
display: grid;
place-items: center;
text-align: center;
color: var(--muted);
font-size: 17px;
}
.error { color: #ffd0ce; }
</style>
</head>
<body>
<div class="sky"></div>
<main>
<header>
<div>
<p class="eyebrow">Daily forecast</p>
<h1 id="location">Berlin</h1>
<p class="date" id="date">Loading date…</p>
</div>
<div class="unit">°Celsius</div>
</header>
<div id="content" class="status">Loading weather data…</div>
</main>
<script>
(() => {
const params = new URLSearchParams(location.search);
const validDate = /^\d{4}-\d{2}-\d{2}$/;
const today = new Date().toISOString().slice(0, 10);
const lat = Number(params.get("lat") ?? 52.52);
const lon = Number(params.get("lon") ?? 13.405);
const name = params.get("name") || "Berlin";
const date = validDate.test(params.get("date") || "") ? params.get("date") : today;
const selected = new Date(date + "T00:00:00Z");
const dateLabel = new Intl.DateTimeFormat("en", { weekday: "long", day: "numeric", month: "long", year: "numeric", timeZone: "UTC" }).format(selected);
document.getElementById("location").textContent = name;
document.getElementById("date").textContent = dateLabel;
const weather = {
0: ["Clear sky", "☀️"], 1: ["Mainly clear", "🌤️"], 2: ["Partly cloudy", "⛅"],
3: ["Overcast", "☁️"], 45: ["Foggy", "🌫️"], 48: ["Rime fog", "🌫️"],
51: ["Light drizzle", "🌦️"], 53: ["Drizzle", "🌦️"], 55: ["Heavy drizzle", "🌧️"],
56: ["Freezing drizzle", "🌧️"], 57: ["Heavy freezing drizzle", "🌧️"],
61: ["Light rain", "🌦️"], 63: ["Rain", "🌧️"], 65: ["Heavy rain", "🌧️"],
66: ["Freezing rain", "🌧️"], 67: ["Heavy freezing rain", "🌧️"],
71: ["Light snow", "🌨️"], 73: ["Snowfall", "🌨️"], 75: ["Heavy snowfall", "❄️"],
77: ["Snow grains", "❄️"], 80: ["Rain showers", "🌦️"], 81: ["Rain showers", "🌧️"],
82: ["Violent showers", "⛈️"], 85: ["Snow showers", "🌨️"], 86: ["Heavy snow showers", "❄️"],
95: ["Thunderstorm", "⛈️"], 96: ["Thunderstorm with hail", "⛈️"], 99: ["Severe thunderstorm", "⛈️"]
};
const endpoint = date < today ? "/api/om/archive" : "/api/om/forecast";
const query = new URLSearchParams({
latitude: String(lat), longitude: String(lon),
daily: "temperature_2m_max,temperature_2m_min,weather_code",
hourly: "temperature_2m", timezone: "UTC", temperature_unit: "celsius",
start_date: date, end_date: date
});
fetch(endpoint + "?" + query)
.then(r => { if (!r.ok) throw new Error("Request failed"); return r.json(); })
.then(data => {
const daily = data.daily;
const hourly = data.hourly;
if (!daily || !hourly || !Array.isArray(hourly.temperature_2m)) throw new Error("Incomplete weather data");
const max = Math.round(daily.temperature_2m_max[0]);
const min = Math.round(daily.temperature_2m_min[0]);
const [condition, icon] = weather[daily.weather_code[0]] || ["Weather unavailable", "🌡️"];
const temps = hourly.temperature_2m.filter((_, i) => (hourly.time[i] || "").startsWith(date));
const samples = Array.from({length: 12}, (_, i) => temps[Math.min(i * 2, temps.length - 1)]);
const values = samples.filter(Number.isFinite);
const low = Math.min(...values), high = Math.max(...values), range = Math.max(high - low, 1);
const hours = samples.map((temp, i) => {
const h = String(i * 2).padStart(2, "0") + ":00";
const height = 19 + ((temp - low) / range) * 48;
return `<div class="hour"><time>${h}</time><div class="bar-space"><i class="bar" style="height:${height}px"></i></div><b>${Math.round(temp)}°</b></div>`;
}).join("");
document.getElementById("content").className = "";
document.getElementById("content").innerHTML = `
<section class="summary">
<div class="condition"><div class="icon">${icon}</div><div><h2>${condition}</h2><p>Expected conditions for ${name}</p></div></div>
<div class="temperatures"><div class="temp"><small>High</small><strong>${max}°</strong></div><div class="temp low"><small>Low</small><strong>${min}°</strong></div></div>
</section>
<section><div class="hourly-title"><h3>Hourly temperature</h3><span>UTC · 2-hour intervals</span></div><div class="hours">${hours}</div></section>`;
})
.catch(() => {
document.getElementById("content").className = "status error";
document.getElementById("content").textContent = "Weather data could not be loaded. Please try again later.";
});
})();
</script>
</body>
</html>L1 — cheap deterministic descriptors
| bytes total | 9,018 | html / css / js | 541 / 4,320 / 4,157 |
|---|---|---|---|
| dom nodes | 17 | dom depth | 6 |
| css rules | 33 | js present | yes |
| brightness | 46.1 | contrast | 20.6 |
| colorfulness | 30.8 | whitespace | 69.0% |
This slot's telemetry
| prompt tokens | 0 | completion tokens | 8,637 |
|---|---|---|---|
| total tokens | 0 | wall | 57.7 s |
| cost | — | request id | — |
config.json565 B
{
"N": 2,
"auth": {
"credential_ref": "WCB_NONE",
"method": "oauth-login"
},
"billing": "plan",
"config_id": "gpt-5.6-terra-eff-none--cli--codex-oauth--dev",
"effort": "none",
"family": "gpt",
"m": {
"min": 2,
"q": 2
},
"model_id": "gpt-5.6-terra",
"protocol": "cli",
"served_model": "gpt-5.6-terra",
"telemetry": {
"completion_tokens": 28230,
"cost_usd": null,
"prompt_tokens": null,
"total_tokens": null,
"wall_ms": 204381
},
"transport": "codex-cli-oauth-chatgpt",
"vendor_sanction_ref": null
}send-log2.5 KB
{
"N": 2,
"batch_id": "2026-07-19--codex-oauth-extra",
"config_id": "gpt-5.6-terra-eff-none--cli--codex-oauth--dev",
"positions": [
{
"attempts": [
{
"attempt_index": 0,
"backoff_ms": null,
"charged": true,
"ended_at": "2026-07-18T22:51:47.954717+00:00",
"http_status": null,
"outcome": "valid",
"reached_model": true,
"reason": "ok",
"request_id": null,
"started_at": "2026-07-18T22:50:50.249607+00:00"
}
],
"block_index": 0,
"model_reaching_attempt_index": 0,
"slot_index": 0,
"terminal_state": "valid",
"variant": "P-q"
},
{
"attempts": [
{
"attempt_index": 0,
"backoff_ms": null,
"charged": true,
"ended_at": "2026-07-18T22:52:34.444962+00:00",
"http_status": null,
"outcome": "valid",
"reached_model": true,
"reason": "ok",
"request_id": null,
"started_at": "2026-07-18T22:51:52.389181+00:00"
}
],
"block_index": 0,
"model_reaching_attempt_index": 0,
"slot_index": 0,
"terminal_state": "valid",
"variant": "P-min"
},
{
"attempts": [
{
"attempt_index": 0,
"backoff_ms": null,
"charged": true,
"ended_at": "2026-07-18T22:53:24.657400+00:00",
"http_status": null,
"outcome": "valid",
"reached_model": true,
"reason": "ok",
"request_id": null,
"started_at": "2026-07-18T22:52:37.973391+00:00"
}
],
"block_index": 1,
"model_reaching_attempt_index": 0,
"slot_index": 1,
"terminal_state": "valid",
"variant": "P-min"
},
{
"attempts": [
{
"attempt_index": 0,
"backoff_ms": null,
"charged": true,
"ended_at": "2026-07-18T22:54:26.224745+00:00",
"http_status": null,
"outcome": "valid",
"reached_model": true,
"reason": "ok",
"request_id": null,
"started_at": "2026-07-18T22:53:28.283362+00:00"
}
],
"block_index": 1,
"model_reaching_attempt_index": 0,
"slot_index": 1,
"terminal_state": "valid",
"variant": "P-q"
}
],
"retry_policy": {
"max_unreachable_retries": 5,
"rate_limit_backoff": {
"max_attempts": 4,
"max_total_ms": 60000
}
}
}