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feat(gym): make per-agent timeout configurable (GYM_AGENT_TIMEOUT) #9791
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When a slow model first times out at the default 300s, that failed result is stored under the same cache key that will be used after rerunning with
GYM_AGENT_TIMEOUT=1200or--agent-timeout=1200, becausecomputeCacheKeystill hashes only scenario/model/runner/binary/MCP inputs. In that cached-failure scenario the new timeout is never exercised unless the user also knows to clear or bypass the cache, so the advertised fix for previously timed-out runs can silently keep returning the old failure.Useful? React with 👍 / 👎.