Unverified50% confidenceFactExact time
This fix resolves a race condition issue with completion requests in rapid successive trigger scenarios, where the completion of an older request could incorrectly affect the state management of a newer request.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/22/2026
First Seen
Valid until: 12/21/2026
Sources
Related Entities
Related Claims
UnverifiedAfter stream resumability is removed, when a long streaming response encounters a network interruption the client can only re-issue the complete request, potentially wasting compute resources and causing inconsistency between the two results.73% similarUnverifiedSwitching models causes context cache invalidation, requiring the re-injection of state such as codebase structure, task objectives, and completed steps via prompts, consuming additional tokens and potentially introducing errors.69% similarUnverified当API限流时会返回429状态码（Too Many Requests），通常附带Retry-After响应头指示等待时间66% similarUnverifiedPossible technical reasons for the toggle being reset include frontend state and backend data being out of sync, product updates causing user settings to reset, and conflicts between account-level and organization-level settings (all of which are community speculation, not officially confirmed by OpenAI).64% similarUnverifiedPartially recoverable errors (such as a tool call failure where an alternative exists) should trigger a fallback path.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/939962API
curl https://kongchang.com/api/v1/knowledge/claims/939962MCP
get_claim(id=939962)