DownForAI

Trae status: API, auth, latency & outage reports

Trae is operational right now. DownForAI checks Trae every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.

Operational
Last probe 37 min ago·1 surface
Probe-monitoredLow confidence
📚 Docs →
100.0%
24h Uptime
250ms
p50 Network Latency
531ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors Trae via a single endpoint — Trae Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 250 ms; p95: 531 ms.

No development tooling incidents have been tracked for Trae since monitoring began, and no community reports were submitted in the last 24 hours. Automated checks continue on the configured schedule.

Data confidence: LowLast checked 37 min ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 580ms
Verified 36m ago
No major incident reported
No reports in the last 24h

Having issues?

Help other users by reporting if Trae is not working for you.

0reports in the last 24 hours

Surface Health

Trae WebOperational
HTTP 200p50 250ms36m ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about Trae

No confirmed provider-side issue detected
DownForAI currently sees Trae as operational based on available monitoring signals.
Signal source: public surface check · Monitoring confidence: Low
Still having trouble?

The issue may be account-specific, regional, network-related, or related to authentication, billing, quota, or rate limits.

Incident history (30d)

No incidents recorded in the past 30 days.

Reported symptoms

No user reports for Trae in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Trae is ByteDance's AI-native IDE (and a plugin for VS Code/JetBrains) with chat, a Builder agent and bundled access to frontier models on ByteDance-hosted infrastructure. Its failures are model capacity or sign-in, and they can be region-dependent.

What we monitor
Trae IDE / pluginClient
Model backendBundled model access
Sign-inAccount authentication
Ecosystem dependencies
Third-party model providers bundled by ByteDance
Operator notes
  • MarsCode, ByteDance's previous product, redirects to Trae and has its own entry.

Fallback alternatives

What to use if this service is down

Trae's backend is unavailable
Cursor, Kiro or GitHub Copilot (monitored on DownForAI) run on independent infrastructure
Easy switch

How we monitor

DownForAI checks monitored AI service surfaces on a rotating schedule, roughly every 75 minutes per surface, from a single centralized probe infrastructure. For services with an official machine-readable status page, we use that official status signal when available. For other services, we perform a basic public-surface check. Some services block datacenter probes; in those cases we mark them as “Monitoring limited” instead of treating a failed probe as a confirmed outage. Status is classified as Operational, Degraded, or Outage. Network latency (check response time) measures how long the monitored endpoint took to respond to our probe — it is not model inference speed, time-to-first-token, or tokens-per-second performance. We are independent of all providers listed and receive no compensation to report any particular status.

Trae statusEmbed this status badgeREADME · docs ▾
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