Elevated rate of errors for OpenAI models provided by Copilot

lowGitHubCopilotAug 31, 2026 09:15Duration: 42m
api
API Issue

Summary

This incident has been resolved. Thank you for your patience and understanding as we addressed this issue. A detailed root cause analysis will be shared as soon as it is available.

Impact

minor

Timeline

Aug 31, 2026 09:15

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

via statuspage
+6m
Aug 31, 2026 09:22

[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 />

via statuspage
+26m
Aug 31, 2026 09:48

[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.

via statuspage
+3m
Aug 31, 2026 09:51

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

via statuspage
+7m
Aug 31, 2026 09:58

[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.

via statuspage
+0m
Aug 31, 2026 09:58

[resolved] This incident has been resolved. Thank you for your patience and understanding as we addressed this issue. A detailed root cause analysis will be shared as soon as it is available.

via statuspage

Lessons Learned

GitHub has experienced 148 incidents in the past year. This frequency suggests systemic reliability challenges that may warrant additional monitoring.

📊Incidents related to api have occurred 959 times across all providers in the past year. This is one of the most common failure categories in cloud infrastructure.

💡This incident is categorized as: API Issue. Consider implementing preventive measures specific to this failure category.