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All agents  /  GitHub Copilot  /  History  /  Aug 31, 2026

GitHub Copilot outage on Aug 31, 2026: elevated rate of errors for OpenAI models provided by Copilot

Resolved after 42 min.

09:15 UTC to 09:58 UTC your time. GitHub: “Elevated rate of errors for OpenAI models provided by Copilot.” 0 reports here during the incident.

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Reports during the incident

Every 15 minutes, 08:15 UTC to 11:00 UTC. Grey: normal. Red line: official incident.
08:15 UTC09:15 UTC09:58 UTC11:00 UTC

What people reported

0 reports during the incident

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GitHub's updates

Quoted from www.githubstatus.com

  1. 09:15 UTC

    Investigating

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

  2. 09:22 UTC

    Investigating

    Copilot is experiencing a higher rate of errors for OpenAI models, including gpt-5.2, gpt-5.3-codex, gpt-5.4, gpt-5.4, and the gpt-5.6 family of models. Other models are not impacted. <br />

  3. 09:48 UTC

    Investigating

    One of our model providers has confirmed an incident on their end. We have provided them details to help identify the issue. We are starting to see recovery.

  4. 09:51 UTC

    Monitoring

    The degradation affecting Copilot AI Model Providers has been mitigated. We are monitoring to ensure stability.

  5. 09:58 UTC

    Monitoring

    The issues with our upstream model provider have been resolved, and gpt-5.3-codex, gpt-5.4-mini, gpt-5.4-nano, gpt-5.5, and the gpt-5.6 family of models are once again available in Copilot products and IDE surfaces.<br /><br />We will continue monitoring to ensure stability, but mitigation is complete.

  6. 09:58 UTC

    Resolved

    Between 08:37 and 09:41 UTC on August 31, 2026, GitHub Copilot experienced degradation affecting several GPT models, including gpt-5.2, gpt-5.3-codex, gpt-5.4, gpt-5.4-mini, gpt-5.4-nano, and the gpt-5.6 family (Luna, Sol, and Terra). Users encountered elevated error rates and interrupted streaming responses. Other models were not affected.<br /><br />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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