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GitHub Status - Incident History

Incident with Actions and Pull Requests Disruption with GitHub Billing Disruption with some GitHub services Actions delays in starting runs Elevated errors on Fable 5 due to upstream provider Degraded Git Operations over SSH Intermittent failures creating agent tasks Incident with Actions Intermittent failures in runner group and runner-related permissions pages Incident with GitHub.com Disruption with GHEC Team Sync Errors with the Fable 5 Model in Copilot Incident with Webhooks Disruption with Login and Release Asset downloads Incident with Pull Requests and Issues Incident with GraphQL API Requests Disruption with Copilot for access to some models Disruption with creation of fine grained personal access tokens Incident with Pages - Deployment Lag Incident with Actions Some Copilot Cloud Agent jobs not starting Incident with Copilot Incident with Copilot AI Model Providers Degraded availability GPT 5.6 Luna Copilot model Claude Fable 5 experiencing elevated errors Incident with Copilot AI Model Providers Incident with Actions Test Incident Posted in Error – No Customer Impact (Will Be Removed) Incident with GraphQL API Requests Actions run failures and delays
Incident with Copilot
2026-05-19 · via GitHub Status - Incident History

Resolved

On May 19, 2026, between 05:30 UTC and 14:50 UTC, some Copilot users experienced failures when using code completions, chat sessions, and cloud agent sessions. At peak impact, approximately 13% of Copilot API requests failed, and approximately 24% of remote sessions failed to initialize. A partial mitigation at 08:16 UTC reduced the Copilot API error rate to approximately 0.3%, but intermittent failures persisted until a full fix was deployed at 14:15 UTC and recovery was verified by 14:50 UTC.

The incident was caused by rate limits being exceeded on a shared infrastructure component. A recently enabled feature increased call volume to this component, and the combined load exceeded capacity limits as traffic increased during business hours.

We mitigated the incident by deploying a caching layer to reduce load on shared infrastructure. To prevent recurrence, we are separating rate limit scopes between services, adding monitoring for internal dependency rate limiting, and reducing redundant calls.

Posted May 19, 2026 - 05:30 UTC