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
257ms
p50 Network Latency
456ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors Tabby via a single endpoint — Tabby. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 257 ms; p95: 456 ms.

DownForAI has not recorded any Tabby development tooling disruptions. The service is probed approximately every 75 minutes; no user reports have been received in the last 24 hours.

Data confidence: LowLast checked 1h 38m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 298ms
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

TabbyOperational
HTTP 200p50 257ms1h 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

Tabby (TabbyML) is a self-hosted, open-source coding assistant: you run the Tabby server on your own GPU or CPU and connect IDE extensions to it. tabby.tabbyml.com only hosts the docs, so any outage is your own server or its hardware.

Community channels
What we monitor
tabby.tabbyml.comDocumentation site
Your Tabby serverSelf-hosted inference
IDE extensionsConnect to the server
Operator notes
  • Two DB entries exist (tabby and tabby-ml); both refer to TabbyML's self-hosted assistant. DownForAI probes the docs site only.

Fallback alternatives

What to use if this service is down

Your Tabby server is down
Continue or Ollama (monitored on DownForAI) offer another local setup; GitHub Copilot is the hosted fallback
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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