GitHub Enterprise Cloud EU incident
EU - Some models missing in Copilot
GitHub Enterprise Cloud EU experienced a minor incident on January 7, 2026 affecting Copilot, lasting 2h 34m. The incident has been resolved; the full update timeline is below.
Affected components
Update timeline
- investigating Jan 07, 2026, 06:32 PM UTC
We are investigating reports of degraded performance for Copilot
- investigating Jan 07, 2026, 06:33 PM UTC
We have received reports that some expected models are missing from VSCode and other products using Copilot. We are investigating the cause of this to restore access.
- investigating Jan 07, 2026, 06:44 PM UTC
We are currently investigating reports of some Copilot Pro premium models including Opus and GPT 5.2 being unavailable in Copilot products. We'll post another update by 19:08 UTC.
- investigating Jan 07, 2026, 07:06 PM UTC
We continue to investigate this problem and have confirmed only Copilot Business users are impacted. We'll post another update by 19:30 UTC.
- investigating Jan 07, 2026, 07:10 PM UTC
Correction - Copilot Pro and Business users are impacted. Copilot Pro+ and Enterprise users are not impacted.
- investigating Jan 07, 2026, 07:29 PM UTC
We continue to investigate. We'll post another update by 19:50 UTC.
- investigating Jan 07, 2026, 07:43 PM UTC
We have implemented a mitigation and confirmed that Copilot Pro and Business accounts now have access to the previously missing models. We will continue monitoring to ensure complete resolution.
- resolved Jan 07, 2026, 09:07 PM UTC
On January 7th, 2026, between 17:16 and 19:33 UTC Copilot Pro and Copilot Business users were unable to use certain premium models, including Claude Opus 4.5 and GPT-5.2. This was due to a misconfiguration with Copilot models, inadvertently marking these premium models as inaccessible for users with Copilot Pro and Copilot Business licenses. We mitigated the incident by reverting the erroneous config change. We are improving our testing processes to reduce the risk of similar incidents in the future, and refining our model availability alerting to improve detection time.