GitHub Status · History · Incident #6943

RESOLVED

Incident with Grok Copilot AI Model Provider

Minor · Started Sep 3, 2026 · 2:17 PM

  • Duration

    2h 54m

  • Severity

    Minor

  • Detection lead

  • User reports

Summary

Incident with Grok Copilot AI Model Provider

Between 13:22 and 17:11 UTC on September 03, 2026, GitHub Copilot experienced degradation affecting several Grok models, including Grok 4.5 and Grok 4.6. Users encountered elevated error rates, but other models were not affected. The degradation was caused by an issue with an upstream model provider. GitHub engineers detected the issue through automated monitoring, displayed in-product warnings for the affected models, and coordinated with the provider. Service returned to normal after the provider implemented a mitigation.


  • Started

    Sep 3, 2026 · 2:17 PM

  • Resolved

    Sep 3, 2026 · 5:11 PM

  • Duration

    2h 54m

  • Severity

    Minor

Event timeline

How this incident unfolded

  • Investigating

    Sep 3 · 2:17 PM GitHub

    We are investigating reports of degraded performance for Copilot AI Model Providers

  • Investigating

    Sep 3 · 2:20 PM GitHub

    We are experiencing degraded availability for the Grok 4.6 model in Copilot Chat, VS Code and other Copilot products. This is due to an issue with an upstream model provider. We are working with them to resolve the issue.<br />

  • Investigating

    Sep 3 · 2:22 PM GitHub

    The Grok 4.5 model has degraded availability as well. We are working with the upstream provider to resolve the issue.

  • Investigating

    Sep 3 · 5:11 PM GitHub

    The issues with our upstream model provider have been resolved, and Grok models are once again available in Copilot products and IDE surfaces.<br />We will continue monitoring to ensure stability, but mitigation is complete.

  • Resolved

    Sep 3 · 5:11 PM GitHub

    Between 13:22 and 17:11 UTC on September 03, 2026, GitHub Copilot experienced degradation affecting several Grok models, including Grok 4.5 and Grok 4.6. Users encountered elevated error rates, but other models were not affected. The degradation was caused by an issue with an upstream model provider. GitHub engineers detected the issue through automated monitoring, displayed in-product warnings for the affected models, and coordinated with the provider. Service returned to normal after the provider implemented a mitigation.

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