GitHub Status · History · Incident #137056

RESOLVED

Disruption with some GitHub services

Minor · Started Sep 15, 2026 · 9:47 AM

  • Duration

    1h 30m

  • Severity

    Minor

  • Detection lead

    —

  • User reports

    —

Summary

Disruption with some GitHub services

On September 15, 2026, between 05:45 and 09:50 UTC, the Claude Fable 5.1 model in GitHub Copilot experienced intermittently degraded availability, with an average error rate of 2.8%. During brief recurring 15 minute periods that recurred every ~45 minutes, availability for Claude Fable 5.1 dropped to a maximum of ~40% before recovering completely. Other Copilot models were not affected. Users could continue to work with a different model or with 'Auto'.<br /><br />The cause was an issue with an upstream model provider that intermittently rejected requests while overloaded. GitHub worked with the provider, who acknowledged and then resolved the underlying issue at 9:50 UTC, after which the model returned to constant normal availability. Once recovery was guaranteed, we resolved the incident at 11:17 UTC.<br /><br />To reduce the chance of recurrence and customer impact, GitHub is reviewing per-model availability alerting and automatic in-product fallback so that requests to a degraded model can shift to a healthy alternative more quickly.


  • Started

    Sep 15, 2026 · 9:47 AM

  • Resolved

    Sep 15, 2026 · 11:17 AM

  • Duration

    1h 30m

  • Severity

    Minor

Event timeline

How this incident unfolded

  • ◐

    Investigating

    Sep 15 · 9:47 AM GitHub

    We are investigating reports of impacted performance for some GitHub services.

  • ◉

    Monitoring

    Sep 15 · 9:48 AM GitHub

    We are investigating degraded availability for Claude Fable 5.1, affecting some Copilot products and integrated development environments. The issue is caused by a problem with our upstream model provider. Customers can use another model or select Auto while we investigate.

  • ◐

    Investigating

    Sep 15 · 10:20 AM GitHub

    Copilot AI Model Providers is experiencing degraded performance. We are continuing to investigate.

  • ◐

    Investigating

    Sep 15 · 10:32 AM GitHub

    We continue to investigate intermittent errors affecting Claude Fable 5.1 in some Copilot products and integrated development environments. Customers can use another model or select Auto while we monitor the situation.

  • ◐

    Investigating

    Sep 15 · 11:09 AM GitHub

    We continue to monitor intermittent errors affecting Claude Fable 5.1 in some Copilot products and integrated development environments. Customer-facing metrics have recovered, and we are awaiting confirmation from our upstream provider that the issue will not recur. Customers can select another model or Auto in the meantime.

  • ◐

    Investigating

    Sep 15 · 11:17 AM GitHub

    The issues with our upstream model provider have been resolved, and Claude Fable 5.1 is once again available in Copilot products and IDE surfaces.<br /><br />We will continue monitoring to ensure stability, but mitigation is complete.

  • ✓

    Resolved

    Sep 15 · 11:17 AM GitHub

    On September 15, 2026, between 05:45 and 09:50 UTC, the Claude Fable 5.1 model in GitHub Copilot experienced intermittently degraded availability, with an average error rate of 2.8%. During brief recurring 15 minute periods that recurred every ~45 minutes, availability for Claude Fable 5.1 dropped to a maximum of ~40% before recovering completely. Other Copilot models were not affected. Users could continue to work with a different model or with 'Auto'.<br /><br />The cause was an issue with an upstream model provider that intermittently rejected requests while overloaded. GitHub worked with the provider, who acknowledged and then resolved the underlying issue at 9:50 UTC, after which the model returned to constant normal availability. Once recovery was guaranteed, we resolved the incident at 11:17 UTC.<br /><br />To reduce the chance of recurrence and customer impact, GitHub is reviewing per-model availability alerting and automatic in-product fallback so that requests to a degraded model can shift to a healthy alternative more quickly.

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