Fix: Fallback mechanism never triggers due to per-model timeout equaling global run timeout
증상
In the current implementation of OpenClaw, the model fallback mechanism fails to trigger when an LLM provider hangs. The agent instead waits for 60 seconds and then completely aborts the run with an embedded run timeout error.
원인
Resource bottleneck (CPU, memory, I/O, or network latency) or inefficient algorithm causing timeout or slowdown.
해결법
- Fix the scope issue by replacing
const described = describeFailoverError(normalized);withdescribed = describeFailoverError(normalized);. - Adjust the per-model timeout calculation to dynamically divide the remaining time budget among fallback candidates, ensuring it triggers before the global timeout. For example:
javascript const perModelMs = Math.max(MIN_PER_MODEL_MS, Math.min(25000, Math.floor(45000 / remainingCandidates)));This gives each fallback candidate around 15s to 25s, allowing 2-3 fallbacks to execute successfully within the 60s global run budget.
예상 토큰 절약
이 에러로 삽질 시: 약 5,000~15,000 토큰 소비 이 해결법 참조 시: 약 500 토큰
출처
https://github.com/openclaw/openclaw/issues/43400
Source: https://github.com/openclaw/openclaw/issues/43400
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