Disruption with some Copilot services

ResolvedResolved1 version

Facts

Source
GitHub Status · original
Started
(16 days ago)
Ended
· lasted 1 h 15 min
How it ended
Microsoft marked it resolved.
First captured by us
Last changed
(43 min ago)
Affected services
GitHub Copilot

Last text from Microsoft

On October 28, 2026, between 13:52 and 15:24 UTC, Copilot users saw errors when using several GPT-family models and the MAI Code 1.1 Flash model. Affected experiences included Copilot Chat in IDEs and on GitHub.com, the Copilot CLI, Copilot Code Review, the Copilot Coding Agent, Code Scanning Autofix, and Code Quality. About 9.73% of requests to the affected models failed, with a peak of about 36.97% at the start of the incident.<br /><br />The errors happened because a credential that we use to authenticate with an upstream model provider became invalid. We mitigated the incident by replacing the credential and redeploying the service. We are strengthening how we manage credentials for upstream providers to prevent this type of failure, returning retryable errors when an upstream provider rejects a request, and improving our monitoring so that we detect and mitigate this type of problem faster in the future.

Quoted from GitHub Status (source), captured . Reproduced for reporting and archival purposes.

Official updates

Posted by GitHub Status, newest first.

  1. Resolved

    On October 28, 2026, between 13:52 and 15:24 UTC, Copilot users saw errors when using several GPT-family models and the MAI Code 1.1 Flash model. Affected experiences included Copilot Chat in IDEs and on GitHub.com, the Copilot CLI, Copilot Code Review, the Copilot Coding Agent, Code Scanning Autofix, and Code Quality. About 9.73% of requests to the affected models failed, with a peak of about 36.97% at the start of the incident.<br /><br />The errors happened because a credential that we use to authenticate with an upstream model provider became invalid. We mitigated the incident by replacing the credential and redeploying the service. We are strengthening how we manage credentials for upstream providers to prevent this type of failure, returning retryable errors when an upstream provider rejects a request, and improving our monitoring so that we detect and mitigate this type of problem faster in the future.

  2. Monitoring

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

  3. Investigating

    Copilot is experiencing degraded performance. We are continuing to investigate.

  4. Investigating

    We have applied the mitigation and are seeing signs of recovery. We will continue to monitor and expect full resolution soon.

  5. Investigating

    We are experiencing degraded availability for the GPT-5.3-Codex, GPT-5.6 Luna, GPT-6.1 Sol, GPT-5.6 Terra, GPT-6 Luna, and MAI Code 1.1 Flash models in Copilot products and IDE surfaces. We have identified the root cause and working to apply a mitigation. While we work to resolve the issue we recommend choosing another model to continue using Copilot.

  6. Investigating

    We are experiencing degraded availability for the GPT-5.3-Codex, GPT-5.6 Luna, GPT-6.1 Sol, GPT-5.6 Terra, GPT-6 Luna, and MAI Code 1.1 Flash models in Copilot products and IDE surfaces. This is due to an issue with an upstream model provider. While we work with them to resolve the issue we recommend choosing another model to continue using Copilot.

  7. Investigating

    We are experiencing issues with upstream model providers resulting in a degraded experience across Copilot services. The team is actively investigating the issue.

  8. Investigating

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

What Microsoft changed

Microsoft edits the text of an incident in place. We keep every version we capture (checked every minute) and highlight the difference. Removed text is struck through, added text is marked.

  1. First version we captured

    Captured · Microsoft's own timestamp · revision wd3yvwdc
    Original text as we first saw it

    On October 28, 2026, between 13:52 and 15:24 UTC, Copilot users saw errors when using several GPT-family models and the MAI Code 1.1 Flash model. Affected experiences included Copilot Chat in IDEs and on GitHub.com, the Copilot CLI, Copilot Code Review, the Copilot Coding Agent, Code Scanning Autofix, and Code Quality. About 9.73% of requests to the affected models failed, with a peak of about 36.97% at the start of the incident.<br /><br />The errors happened because a credential that we use to authenticate with an upstream model provider became invalid. We mitigated the incident by replacing the credential and redeploying the service. We are strengthening how we manage credentials for upstream providers to prevent this type of failure, returning retryable errors when an upstream provider rejects a request, and improving our monitoring so that we detect and mitigate this type of problem faster in the future.