Unverified50% confidenceSolutionExact time
If the timeout threshold for streaming responses is not configured properly, the client may terminate the response stream early due to a timeout judgment, and GLM is more prone to triggering timeouts when inference chain latency is longer.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/17/2026
First Seen
Valid until: 11/15/2026
Sources
Ollama Cloud GLM在OpenCode中频繁中断的原因与解决方案
Related Claims
UnverifiedEnabling thinking mode introduces longer response latency and higher token consumption.72% similarUnverified对流式响应场景，应重点关注首Token延迟（TTFT）而非整体完成时间70% similarUnverifiedIn VAD endpoint detection, setting the silence timeout threshold too long makes the system feel sluggish to users, while setting it too short may incorrectly cut off input during natural pauses.69% similarUnverified响应速度快无法证明背后是否为官方正版服务，能力越强的模型每次推理消耗算力越多、响应时间相应更长69% similarUnverifiedVAD端点检测决策直接影响交互延迟，设置过短会导致误截断，设置过长则增加响应等待时间68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/759882API
curl https://kongchang.com/api/v1/knowledge/claims/759882MCP
get_claim(id=759882)