DownForAI

Tabby status: API, auth, latency & outage reports

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

Operational
Last probe 1h ago·1 surface
Probe-monitoredLow confidence
📚 Docs →
100.0%
24h Uptime
523ms
p50 Network Latencyⓘ
1217ms
p95 Network Latencyⓘ
0
Incidents (30d)

DownForAI monitors Tabby via a single endpoint — Tabby Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 523 ms; p95: 1217 ms.

No development tooling incidents have been tracked for Tabby 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 1h 52m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

✅
Operational
Everything works normally
✓Checked by our probes · 344ms
Verified 1h ago
✓No major incident reported
ⓘNo reports in the last 24h

Having issues?

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

0reports in the last 24 hours

Surface Health

Tabby WebOperational
HTTP 200p50 523ms1h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about Tabby

No confirmed provider-side issue detected
DownForAI currently sees Tabby 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 Tabby in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

TabbyML's Tabby (second entry, tabby.ml) is the open-source, self-hosted alternative to Copilot with code completion, chat and repository context, run as a server you control. There is no hosted inference from TabbyML, so incidents are local.

Community channels
What we monitor
tabby.ml — Product website
Self-hosted server — Completion and chat backend you run
Operator notes
  • Duplicate of the tabby entry; both describe TabbyML's self-hosted assistant.

Fallback alternatives

What to use if this service is down

Your Tabby deployment is broken
Refact.ai or Continue (monitored on DownForAI) support self-hosted or local models
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.

Tabby statusEmbed this status badgeREADME · docs ▾
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