Skip to content
GitHub · Developer toolsAug 3, 2026, 09:53 UTC

Incident with Copilot

MinorCapacityUpdated 18h ago
Aug 3, 09:53 UTCAug 3, 11:25 UTC
Duration
1h 32m
Impact
Minor
Root cause
Capacity
GitHub, 90 days
68 incidents
Affected
Copilot
Status page

Final update

On 2026-08-03, between 06:52 and 11:25 UTC, some GitHub Copilot users experienced errors when using chat and agent features. Requests to list the available models failed, and because every chat or agent interaction begins by retrieving the list of models, affected users saw their requests fail. On average about 3% of these model-listing requests failed during the incident (roughly 97% succeeded), but failures were significantly higher during peak-traffic periods, at times approaching 100% for the affected internal lookups. Approximately 4,066 users were affected in a single 60-minute window, concentrated among IDE-based clients. The underlying AI models themselves remained healthy throughout. The incident was caused by an increase in how often clients requested the model list, which pushed an internal user-authorization lookup past a rate limit; the rate-limited responses were surfaced to users as errors. We mitigated the impact by increasing how long Copilot caches that authorization lookup, which reduced load on the internal service, and we have additional capacity and rate-limit changes in progress. To prevent recurrence we are improving monitoring for this class of failure, adj

Timeline

  1. Resolved · Aug 3, 11:25 UTC
    On 2026-08-03, between 06:52 and 11:25 UTC, some GitHub Copilot users experienced errors when using chat and agent features. Requests to list the available models failed, and because every chat or agent interaction begins by retrieving the list of models, affected users saw their requests fail. On average about 3% of these model-listing requests failed during the incident (roughly 97% succeeded), but failures were significantly higher during peak-traffic periods, at times approaching 100% for the affected internal lookups. Approximately 4,066 users were affected in a single 60-minute window, concentrated among IDE-based clients. The underlying AI models themselves remained healthy throughout. The incident was caused by an increase in how often clients requested the model list, which pushed an internal user-authorization lookup past a rate limit; the rate-limited responses were surfaced to users as errors. We mitigated the impact by increasing how long Copilot caches that authorization lookup, which reduced load on the internal service, and we have additional capacity and rate-limit changes in progress. To prevent recurrence we are improving monitoring for this class of failure, adjusting cache and rate-limit settings, and coordinating with client teams on request patterns.
  2. Monitoring · Aug 3, 11:19 UTC
    The degradation affecting Copilot has been mitigated. We are monitoring to ensure stability.
  3. Investigating · Aug 3, 10:35 UTC
    We are still seeing intermittent errors with Copilot, and are continuing to investigate and consider mitigations.
  4. Investigating · Aug 3, 09:54 UTC
    We are experiencing degraded availability for chat & agent models in Copilot. Multiple models are impacted and customers may experience requests failing. We are investigating and will provide an update as soon as possible.
  5. Investigating · Aug 3, 09:53 UTC
    We are investigating reports of degraded performance for Copilot

More from GitHub

Full history
StartedIncidentDuration
Sep 2310:11 UTCIncident across several servicesOngoing
Sep 2022:13 UTCIncident with Pull Requests1h 9m
Sep 1720:59 UTCElevated rate of errors for OpenAI models provided by Copilot50m
Sep 1607:20 UTCDegradation with Gemini 3.8 Flash10h 28m
Sep 1519:11 UTCDisruption with some GitHub services49m
Sep 1509:47 UTCDisruption with some GitHub services1h 30m

Also caused by capacity and load

All
StartedIncidentDuration
Sep 2213:19 UTCWe are investigating an issue with CH servers in Azure germanywestcentral regionClickHouse5h 6m
Sep 221:44 UTCElevated Linux worker queue timesExpo21m
Aug 2506:53 UTC[Critical] Issue with DownloadsBox44m
Aug 2015:40 UTCWe are investigating an issue where customers may experience timeouts, service degradations, errors, and elevated latencies across multiple products in the us-west1 region.Google Cloud3h 40m
Aug 1812:58 UTCINC20000163Snowflake1h 54m
Aug 1713:19 UTCNo capacity in ARNFly.io2h 22m

From vendors' own status pages and disclosures. Times as reported. Logos via logo.dev; trademarks belong to their owners.

Weekly: the week's major outages, postmortems and breaches, Saturday mornings.